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compiler_2tflchef_2tools_2reverse_2driver_8cpp.js rename compiler_2tfldump_2driver_2driver_8cpp.html => compiler_2tfldump_2driver_2_driver_8cpp.html (95%) create mode 100644 compiler_2tfldump_2driver_2_driver_8cpp.js rename compiler_2tfldump_2driver_2driver_8cpp_source.html => compiler_2tfldump_2driver_2_driver_8cpp_source.html (92%) delete mode 100644 compiler_2tfldump_2driver_2driver_8cpp.js rename compiler_2tflite2circle_2driver_2driver_8cpp.html => compiler_2tflite2circle_2driver_2_driver_8cpp.html (92%) create mode 100644 compiler_2tflite2circle_2driver_2_driver_8cpp.js rename compiler_2tflite2circle_2driver_2driver_8cpp_source.html => compiler_2tflite2circle_2driver_2_driver_8cpp_source.html (90%) delete mode 100644 compiler_2tflite2circle_2driver_2driver_8cpp.js rename compiler_2vconone_2driver_2driver_8cpp.html => compiler_2vconone_2driver_2_driver_8cpp.html (94%) create mode 100644 compiler_2vconone_2driver_2_driver_8cpp.js rename compiler_2vconone_2driver_2driver_8cpp_source.html => compiler_2vconone_2driver_2_driver_8cpp_source.html (90%) delete mode 100644 compiler_2vconone_2driver_2driver_8cpp.js rename enco_2core_2src_2_dims_8h.html => enco_2core_2src_2dims_8h.html (95%) rename enco_2core_2src_2_dims_8h_source.html => enco_2core_2src_2dims_8h_source.html (96%) delete mode 100644 exo_2src_2_dialect_2_i_r_2_circle_op_code_8h.js rename exo_2src_2_dialect_2_i_r_2_circle_op_code_8h.html => exo_2src_2_dialect_2_i_r_2_circle_opcode_8h.html (92%) create mode 100644 exo_2src_2_dialect_2_i_r_2_circle_opcode_8h.js rename exo_2src_2_dialect_2_i_r_2_circle_op_code_8h_source.html => exo_2src_2_dialect_2_i_r_2_circle_opcode_8h_source.html (93%) delete mode 100644 luci_2lang_2include_2luci_2_i_r_2_circle_op_code_8h.js rename luci_2lang_2include_2luci_2_i_r_2_circle_op_code_8h.html => luci_2lang_2include_2luci_2_i_r_2_circle_opcode_8h.html (89%) create mode 100644 luci_2lang_2include_2luci_2_i_r_2_circle_opcode_8h.js rename luci_2lang_2include_2luci_2_i_r_2_circle_op_code_8h_source.html => luci_2lang_2include_2luci_2_i_r_2_circle_opcode_8h_source.html (92%) delete mode 100644 luci_2partition_2src_2_circle_op_code_8h.js rename luci_2partition_2src_2_circle_op_code_8h.html => luci_2partition_2src_2_circle_opcode_8h.html (96%) create mode 100644 luci_2partition_2src_2_circle_opcode_8h.js rename luci_2partition_2src_2_circle_op_code_8h_source.html => luci_2partition_2src_2_circle_opcode_8h_source.html (96%) delete mode 100644 morph_2include_2morph_2_dims_8h.js rename morph_2include_2morph_2_dims_8h.html => morph_2include_2morph_2dims_8h.html (97%) create mode 100644 morph_2include_2morph_2dims_8h.js rename morph_2include_2morph_2_dims_8h_source.html => morph_2include_2morph_2dims_8h_source.html (95%) delete mode 100644 morph_2src_2_dims_8cpp.js rename morph_2src_2_dims_8cpp.html => morph_2src_2dims_8cpp.html (94%) create mode 100644 morph_2src_2dims_8cpp.js rename morph_2src_2_dims_8cpp_source.html => morph_2src_2dims_8cpp_source.html (93%) rename onert-micro_2eval-driver_2driver_8cpp.html => onert-micro_2eval-driver_2_driver_8cpp.html (93%) create mode 100644 onert-micro_2eval-driver_2_driver_8cpp.js rename onert-micro_2eval-driver_2driver_8cpp_source.html => onert-micro_2eval-driver_2_driver_8cpp_source.html (91%) delete mode 100644 onert-micro_2eval-driver_2driver_8cpp.js delete mode 100644 onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2_main_8cpp.js rename onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2_main_8cpp.html => onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2main_8cpp.html (85%) create mode 100644 onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2main_8cpp.js rename onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2_main_8cpp_source.html => onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2main_8cpp_source.html (86%) delete mode 100644 onert-micro_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp.js rename onert-micro_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp.html => onert-micro_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp.html (96%) create mode 100644 onert-micro_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp.js rename onert-micro_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp_source.html => onert-micro_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp_source.html (97%) rename optimized_2_depthwise_conv_uint8_8h.html => optimized_2_depthwise_conv_u_int8_8h.html (97%) create mode 100644 optimized_2_depthwise_conv_u_int8_8h.js rename optimized_2_depthwise_conv_uint8_8h_source.html => optimized_2_depthwise_conv_u_int8_8h_source.html (99%) delete mode 100644 optimized_2_depthwise_conv_uint8_8h.js rename reference_2integer__ops_2_depthwise_conv_uint8_8h.html => reference_2integer__ops_2_depthwise_conv_u_int8_8h.html (97%) create mode 100644 reference_2integer__ops_2_depthwise_conv_u_int8_8h.js rename reference_2integer__ops_2_depthwise_conv_uint8_8h_source.html => reference_2integer__ops_2_depthwise_conv_u_int8_8h_source.html (98%) delete mode 100644 reference_2integer__ops_2_depthwise_conv_uint8_8h.js rename runtime_2libs_2tflite_2include_2tflite_2assert_8h.html => runtime_2libs_2tflite_2include_2tflite_2_assert_8h.html (88%) create mode 100644 runtime_2libs_2tflite_2include_2tflite_2_assert_8h.js rename runtime_2libs_2tflite_2include_2tflite_2assert_8h_source.html => runtime_2libs_2tflite_2include_2tflite_2_assert_8h_source.html (92%) delete mode 100644 runtime_2libs_2tflite_2include_2tflite_2assert_8h.js delete mode 100644 souschef_2include_2souschef_2_dims_8h.js rename souschef_2include_2souschef_2_dims_8h.html => souschef_2include_2souschef_2dims_8h.html (97%) create mode 100644 souschef_2include_2souschef_2dims_8h.js rename souschef_2include_2souschef_2_dims_8h_source.html => souschef_2include_2souschef_2dims_8h_source.html (95%) rename souschef_2src_2_dims_8cpp.html => souschef_2src_2dims_8cpp.html (92%) rename souschef_2src_2_dims_8cpp_source.html => souschef_2src_2dims_8cpp_source.html (91%) diff --git a/_acl_tensor_builder_8h_source.html b/_acl_tensor_builder_8h_source.html index 658aeb66d55..fd83ea4d537 100644 --- a/_acl_tensor_builder_8h_source.html +++ b/_acl_tensor_builder_8h_source.html @@ -324,9 +324,9 @@
218{
219 auto lifetime_map = cl_common::createLifetimeMap(_lifetime_seq, _parent_map);
220
-
221 for (const auto &entry : lifetime_map)
+
221 for (const auto &entry : lifetime_map)
222 {
-
223 const auto &use = entry.second;
+
223 const auto &use = entry.second;
224 const auto &use_type = use.first;
225 const auto &use_index = use.second;
226 assert(use_index.valid());
@@ -364,13 +364,13 @@
255 assert(_tensor_mgr->nonconstTensors().size() == 0);
256
257 // Normal tensors
-
258 for (const auto &entry : _tensor_info_map)
+
258 for (const auto &entry : _tensor_info_map)
259 {
-
260 const auto &ind = entry.first;
+
260 const auto &ind = entry.first;
261 if (_parent_map.count(ind) > 0)
262 continue;
263
-
264 const auto &info = entry.second;
+
264 const auto &info = entry.second;
265 const auto &backend_layout = _tensor_layout_map[ind];
266 auto tensor_info =
267 asTensorInfo(info.shape(), info.typeInfo(), ir::Layout::UNKNOWN, backend_layout, true);
@@ -382,9 +382,9 @@
273 assert(_tensor_mgr->nonconstSubtensors().size() == 0);
274 // TODO Iterate `_parent_map` instead, once the optimizer bug is fixed
275 // `Optimizer` iterates the entire Operations, so there is a bug if iterating _parent_map
-
276 for (const auto &entry : _tensor_info_map)
+
276 for (const auto &entry : _tensor_info_map)
277 {
-
278 const auto &ind = entry.first;
+
278 const auto &ind = entry.first;
279 if (_parent_map.count(ind) == 0)
280 continue;
281
@@ -521,7 +521,7 @@
static OperandInfo createStaticInfo(const Shape &shape, const TypeInfo &typeInfo)
Create a static OperandInfo object.
Definition OperandInfo.h:85
Definition Operands.h:33
-
int entry(const int argc, char **argv)
Definition Driver.cpp:53
+
int entry(const int argc, char **argv)
Definition Driver.cpp:53
__global uchar * offset(const Image *img, int x, int y)
Definition helpers.h:540
volatile const char info[]
::arm_compute::TensorInfo asTensorInfo(const ir::Shape &shape, const ir::TypeInfo &typeInfo, ir::Layout frontend_layout, ir::Layout backend_layout, bool apply_dim_correction)
Definition Convert.cc:134
diff --git a/_add_8float_8cpp.html b/_add_8float_8cpp.html index 02154dc68e1..d1d38f451cd 100644 --- a/_add_8float_8cpp.html +++ b/_add_8float_8cpp.html @@ -139,9 +139,9 @@

Value:
BroadcastAdd<FusedActivationFunctionType::activation>( \
-
in1, convertShapeToDims(shape1), in2, convertShapeToDims(shape2), out, \
-
convertShapeToDims(shapeOut))
-
Dims< 4 > convertShapeToDims(const Shape &shape)
Definition Dims.h:31
+
in1, convertShapeToDims(shape1), in2, convertShapeToDims(shape2), out, \
+
convertShapeToDims(shapeOut))
+
Dims< 4 > convertShapeToDims(const Shape &shape)
Definition Dims.h:31
@@ -160,9 +160,9 @@

-Value:
-
in2, convertShapeToDims(shape2), \
-
out, convertShapeToDims(shapeOut))
+Value:
Add<FusedActivationFunctionType::activation>(in1, convertShapeToDims(shape1), \
+
in2, convertShapeToDims(shape2), \
+
out, convertShapeToDims(shapeOut))
@@ -225,9 +225,9 @@

32 MatchingArraySize(input1_dims, 2, input2_dims, 2, output_dims, 2);
33 MatchingArraySize(input1_dims, 1, input2_dims, 1, output_dims, 1);
34 MatchingArraySize(input1_dims, 0, input2_dims, 0, output_dims, 0);
-
35 DCHECK(IsPackedWithoutStrides(input1_dims));
-
36 DCHECK(IsPackedWithoutStrides(input2_dims));
-
37 DCHECK(IsPackedWithoutStrides(output_dims));
+
35 DCHECK(IsPackedWithoutStrides(input1_dims));
+
36 DCHECK(IsPackedWithoutStrides(input2_dims));
+
37 DCHECK(IsPackedWithoutStrides(output_dims));
38
39 int i = 0;
40 const int size = input1_dims.sizes[3] * input1_dims.strides[3];
@@ -238,17 +238,17 @@

45 output_data[i] = ActivationFunction<Ac>(x);
46 }
47}
-
bool IsPackedWithoutStrides(const Dims< N > &dims)
Definition Dims.h:155
#define DCHECK(condition)
Definition Macro.h:25
+
bool IsPackedWithoutStrides(const Dims< N > &dims)
Definition Dims.h:155
int MatchingArraySize(const ArrayType1 &array1, int index1, const ArrayType2 &array2, int index2)
Definition Array.h:31
int32_t size[5]
Definition Slice.cpp:35
-
int sizes[N]
Definition Dims.h:27
-
int strides[N]
Definition Dims.h:28
+
int sizes[N]
Definition Dims.h:27
+
int strides[N]
Definition Dims.h:28
-

References DCHECK, IsPackedWithoutStrides(), MatchingArraySize(), size, Dims< N >::sizes, and Dims< N >::strides.

+

References DCHECK, IsPackedWithoutStrides(), MatchingArraySize(), size, Dims< N >::sizes, and Dims< N >::strides.

Referenced by flexbuffers::FLATBUFFERS_FINAL_CLASS::Add(), flexbuffers::FLATBUFFERS_FINAL_CLASS::Map(), flexbuffers::FLATBUFFERS_FINAL_CLASS::operator+=(), mir_onnx::registerSupportedOps(), flexbuffers::FLATBUFFERS_FINAL_CLASS::Vector(), dalgona::PostOperatorHook::visit(), and dalgona::PreOperatorHook::visit().

@@ -415,15 +415,15 @@

75 // We name our variables by their Tensorflow convention, but generate C code
76 // nesting loops such that the innermost loop has the smallest stride for the
77 // best cache behavior.
-
78 for (int b = 0; b < ArraySize(output_dims, 3); ++b)
+
78 for (int b = 0; b < ArraySize(output_dims, 3); ++b)
79 {
-
80 for (int y = 0; y < ArraySize(output_dims, 2); ++y)
+
80 for (int y = 0; y < ArraySize(output_dims, 2); ++y)
81 {
-
82 for (int x = 0; x < ArraySize(output_dims, 1); ++x)
+
82 for (int x = 0; x < ArraySize(output_dims, 1); ++x)
83 {
-
84 for (int c = 0; c < ArraySize(output_dims, 0); ++c)
+
84 for (int c = 0; c < ArraySize(output_dims, 0); ++c)
85 {
-
86 output_data[Offset(output_dims, c, x, y, b)] =
+
86 output_data[Offset(output_dims, c, x, y, b)] =
87 ActivationFunction<Ac>(input1_data[SubscriptToIndex(desc1, c, x, y, b)] +
88 input2_data[SubscriptToIndex(desc2, c, x, y, b)]);
89 }
@@ -435,12 +435,12 @@

int SubscriptToIndex(const NdArrayDesc< 4 > &desc, int i0, int i1, int i2, int i3)
Definition NDArray.h:54
NdArrayDesc< 4 > desc1
NdArrayDesc< 4 > desc2
-
int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
Definition Dims.h:64
-
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
+
int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
Definition Dims.h:64
+
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
-

References ArraySize(), desc1, desc2, NdArrayDescsForElementwiseBroadcast(), Offset(), and SubscriptToIndex().

+

References ArraySize(), desc1, desc2, NdArrayDescsForElementwiseBroadcast(), Offset(), and SubscriptToIndex().

diff --git a/_add_8float_8cpp_source.html b/_add_8float_8cpp_source.html index f112e75388c..2084ecfd44b 100644 --- a/_add_8float_8cpp_source.html +++ b/_add_8float_8cpp_source.html @@ -132,9 +132,9 @@
32 MatchingArraySize(input1_dims, 2, input2_dims, 2, output_dims, 2);
33 MatchingArraySize(input1_dims, 1, input2_dims, 1, output_dims, 1);
34 MatchingArraySize(input1_dims, 0, input2_dims, 0, output_dims, 0);
-
35 DCHECK(IsPackedWithoutStrides(input1_dims));
-
36 DCHECK(IsPackedWithoutStrides(input2_dims));
-
37 DCHECK(IsPackedWithoutStrides(output_dims));
+
35 DCHECK(IsPackedWithoutStrides(input1_dims));
+
36 DCHECK(IsPackedWithoutStrides(input2_dims));
+
37 DCHECK(IsPackedWithoutStrides(output_dims));
38
39 int i = 0;
40 const int size = input1_dims.sizes[3] * input1_dims.strides[3];
@@ -177,15 +177,15 @@
75 // We name our variables by their Tensorflow convention, but generate C code
76 // nesting loops such that the innermost loop has the smallest stride for the
77 // best cache behavior.
-
78 for (int b = 0; b < ArraySize(output_dims, 3); ++b)
+
78 for (int b = 0; b < ArraySize(output_dims, 3); ++b)
79 {
-
80 for (int y = 0; y < ArraySize(output_dims, 2); ++y)
+
80 for (int y = 0; y < ArraySize(output_dims, 2); ++y)
81 {
-
82 for (int x = 0; x < ArraySize(output_dims, 1); ++x)
+
82 for (int x = 0; x < ArraySize(output_dims, 1); ++x)
83 {
-
84 for (int c = 0; c < ArraySize(output_dims, 0); ++c)
+
84 for (int c = 0; c < ArraySize(output_dims, 0); ++c)
85 {
-
86 output_data[Offset(output_dims, c, x, y, b)] =
+
86 output_data[Offset(output_dims, c, x, y, b)] =
87 ActivationFunction<Ac>(input1_data[SubscriptToIndex(desc1, c, x, y, b)] +
88 input2_data[SubscriptToIndex(desc2, c, x, y, b)]);
89 }
@@ -240,17 +240,17 @@
int SubscriptToIndex(const NdArrayDesc< 4 > &desc, int i0, int i1, int i2, int i3)
Definition NDArray.h:54
NdArrayDesc< 4 > desc1
NdArrayDesc< 4 > desc2
-
int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
Definition Dims.h:64
-
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
-
bool IsPackedWithoutStrides(const Dims< N > &dims)
Definition Dims.h:155
#define DCHECK(condition)
Definition Macro.h:25
+
int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
Definition Dims.h:64
+
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
+
bool IsPackedWithoutStrides(const Dims< N > &dims)
Definition Dims.h:155
bool SameShape(const Shape &in1, const Shape &in2)
Definition Shape.cpp:22
int MatchingArraySize(const ArrayType1 &array1, int index1, const ArrayType2 &array2, int index2)
Definition Array.h:31
int32_t size[5]
Definition Slice.cpp:35
-
Definition Dims.h:26
-
int sizes[N]
Definition Dims.h:27
-
int strides[N]
Definition Dims.h:28
+
Definition Dims.h:26
+
int sizes[N]
Definition Dims.h:27
+
int strides[N]
Definition Dims.h:28
Definition Shape.h:28
diff --git a/_avg_pool2_d_8float_8cpp.html b/_avg_pool2_d_8float_8cpp.html index 52405ddd2e1..d008179a193 100644 --- a/_avg_pool2_d_8float_8cpp.html +++ b/_avg_pool2_d_8float_8cpp.html @@ -136,9 +136,9 @@

Value:
AveragePool<FusedActivationFunctionType::activation>( \
-
inputData, convertShapeToDims(inputShape), stride_width, stride_height, paddingWidth, \
-
paddingHeight, filter_width, filter_height, outputData, convertShapeToDims(outputShape))
-
Dims< 4 > convertShapeToDims(const Shape &shape)
Definition Dims.h:31
+
inputData, convertShapeToDims(inputShape), stride_width, stride_height, paddingWidth, \
+
paddingHeight, filter_width, filter_height, outputData, convertShapeToDims(outputShape))
+
Dims< 4 > convertShapeToDims(const Shape &shape)
Definition Dims.h:31
@@ -265,10 +265,10 @@

Definition at line 29 of file AvgPool2D.float.cpp.

32{
33 const int batches = MatchingArraySize(input_dims, 3, output_dims, 3);
-
34 const int input_height = ArraySize(input_dims, 2);
-
35 const int input_width = ArraySize(input_dims, 1);
-
36 const int output_height = ArraySize(output_dims, 2);
-
37 const int output_width = ArraySize(output_dims, 1);
+
34 const int input_height = ArraySize(input_dims, 2);
+
35 const int input_width = ArraySize(input_dims, 1);
+
36 const int output_height = ArraySize(output_dims, 2);
+
37 const int output_width = ArraySize(output_dims, 1);
38 const int depth = MatchingArraySize(input_dims, 0, output_dims, 0);
39
40 const auto in_mat = MapAsMatrixWithFirstDimAsRows(input_data, input_dims);
@@ -317,8 +317,8 @@

83 {

84 for (int c = 0; c < depth; ++c)
85 {
-
86 output_data[Offset(output_dims, c, x, y, b)] =
-
87 ActivationFunction<Ac>(output_data[Offset(output_dims, c, x, y, b)]);
+
86 output_data[Offset(output_dims, c, x, y, b)] =
+
87 ActivationFunction<Ac>(output_data[Offset(output_dims, c, x, y, b)]);
88 }
89 }
90 }
@@ -326,16 +326,16 @@

92}
int NodeOffset(int b, int h, int w, int height, int width)
Definition FeatureMap.h:21
MatrixMap< Scalar > MapAsMatrixWithFirstDimAsRows(Scalar *data, const Dims< N > &dims)
Definition Matrix.h:60
-
int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
Definition Dims.h:64
-
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
#define DCHECK_GT(x, y)
Definition Macro.h:37
+
int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
Definition Dims.h:64
+
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
int MatchingArraySize(const ArrayType1 &array1, int index1, const ArrayType2 &array2, int index2)
Definition Array.h:31
-

References ArraySize(), DCHECK_GT, MapAsMatrixWithFirstDimAsRows(), MatchingArraySize(), NodeOffset(), and Offset().

+

References ArraySize(), DCHECK_GT, MapAsMatrixWithFirstDimAsRows(), MatchingArraySize(), NodeOffset(), and Offset().

Referenced by mir_onnx::registerSupportedOps().

diff --git a/_avg_pool2_d_8float_8cpp_source.html b/_avg_pool2_d_8float_8cpp_source.html index 85ed635ff09..04f97faeaf5 100644 --- a/_avg_pool2_d_8float_8cpp_source.html +++ b/_avg_pool2_d_8float_8cpp_source.html @@ -131,10 +131,10 @@
31 float *output_data, const Dims<4> &output_dims)
32{
33 const int batches = MatchingArraySize(input_dims, 3, output_dims, 3);
-
34 const int input_height = ArraySize(input_dims, 2);
-
35 const int input_width = ArraySize(input_dims, 1);
-
36 const int output_height = ArraySize(output_dims, 2);
-
37 const int output_width = ArraySize(output_dims, 1);
+
34 const int input_height = ArraySize(input_dims, 2);
+
35 const int input_width = ArraySize(input_dims, 1);
+
36 const int output_height = ArraySize(output_dims, 2);
+
37 const int output_width = ArraySize(output_dims, 1);
38 const int depth = MatchingArraySize(input_dims, 0, output_dims, 0);
39
40 const auto in_mat = MapAsMatrixWithFirstDimAsRows(input_data, input_dims);
@@ -183,8 +183,8 @@
83 {
84 for (int c = 0; c < depth; ++c)
85 {
-
86 output_data[Offset(output_dims, c, x, y, b)] =
-
87 ActivationFunction<Ac>(output_data[Offset(output_dims, c, x, y, b)]);
+
86 output_data[Offset(output_dims, c, x, y, b)] =
+
87 ActivationFunction<Ac>(output_data[Offset(output_dims, c, x, y, b)]);
88 }
89 }
90 }
@@ -238,12 +238,12 @@
MatrixMap< Scalar > MapAsMatrixWithFirstDimAsRows(Scalar *data, const Dims< N > &dims)
Definition Matrix.h:60
-
int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
Definition Dims.h:64
-
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
#define DCHECK_GT(x, y)
Definition Macro.h:37
+
int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
Definition Dims.h:64
+
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
int MatchingArraySize(const ArrayType1 &array1, int index1, const ArrayType2 &array2, int index2)
Definition Array.h:31
-
Definition Dims.h:26
+
Definition Dims.h:26
Definition Shape.h:28
diff --git a/_backend_plugin_8cpp_source.html b/_backend_plugin_8cpp_source.html index dd4e0a6de0a..540b318bbbf 100644 --- a/_backend_plugin_8cpp_source.html +++ b/_backend_plugin_8cpp_source.html @@ -163,7 +163,7 @@
57 }
58
59 void *handle;
- +
61
62 // NOTE Some backend (such as tflite) needs multithreading support (std::thread).
63 //
@@ -180,7 +180,7 @@
74 }
75
76 char *error;
-
77 entry = reinterpret_cast<BackendPlugin::Entry>(dlsym(handle, "make_backend"));
+
77 entry = reinterpret_cast<BackendPlugin::Entry>(dlsym(handle, "make_backend"));
78 if ((error = dlerror()) != nullptr)
79 {
80 dlclose(handle);
@@ -188,7 +188,7 @@
82 exit(1);
83 }
84
-
85 return std::make_unique<BackendPlugin>(handle, entry);
+
85 return std::make_unique<BackendPlugin>(handle, entry);
86}
87
@@ -199,7 +199,7 @@
std::unique_ptr< Backend > create(const CmdlineArguments &args) const
std::unique_ptr< Backend >(* Entry)(const CmdlineArguments &)
-
int entry(const int argc, char **argv)
Definition Driver.cpp:53
+
int entry(const int argc, char **argv)
Definition Driver.cpp:53
std::unique_ptr< BackendPlugin > make_backend_plugin(const std::string &path)
diff --git a/_backend_plugin_8h_source.html b/_backend_plugin_8h_source.html index dac5bdd654d..7d2a8564352 100644 --- a/_backend_plugin_8h_source.html +++ b/_backend_plugin_8h_source.html @@ -133,7 +133,7 @@
33
34public:
-
35 BackendPlugin(void *handle, Entry entry) : _handle{handle}, _entry{entry}
+
35 BackendPlugin(void *handle, Entry entry) : _handle{handle}, _entry{entry}
36 {
37 // DO NOTHING
38 }
@@ -168,7 +168,7 @@
std::unique_ptr< Backend >(* Entry)(const CmdlineArguments &)
BackendPlugin(const BackendPlugin &)=delete
-
int entry(const int argc, char **argv)
Definition Driver.cpp:53
+
int entry(const int argc, char **argv)
Definition Driver.cpp:53
std::unique_ptr< BackendPlugin > make_backend_plugin(const std::string &path)
diff --git a/_benchmark_8cpp_source.html b/_benchmark_8cpp_source.html index 0b3be53007f..5db98ec518f 100644 --- a/_benchmark_8cpp_source.html +++ b/_benchmark_8cpp_source.html @@ -201,7 +201,7 @@
101
-
102int main(int argc, char **argv)
+
102int main(int argc, char **argv)
103{
104 std::unique_ptr<nnkit::BackendPlugin> backend_plugin;
105 nnkit::VectorArguments backend_arguments;
@@ -318,7 +318,7 @@
void head(int indent)
volatile const char info[]
std::unique_ptr< BackendPlugin > make_backend_plugin(const std::string &path)
-
int main()
Definition main.cpp:58
+
int main()
Definition main.cpp:58
diff --git a/_c_op_shape_inference_rule_8h_source.html b/_c_op_shape_inference_rule_8h_source.html index 68aa786b448..a29557959ec 100644 --- a/_c_op_shape_inference_rule_8h_source.html +++ b/_c_op_shape_inference_rule_8h_source.html @@ -128,7 +128,7 @@
34{
35 bool recognize(const loco::Dialect *) const final;
-
36 bool infer(const loco::Node *, loco::NodeShape &) const final;
+
36 bool infer(const loco::Node *, loco::NodeShape &) const final;
37};
38
@@ -143,7 +143,7 @@ -
std::vector< float > infer()
Definition main.cpp:25
+
std::vector< float > infer()
Definition main.cpp:25
Shape inference rule for COpDialect.
bool recognize(const loco::Dialect *) const final
Return true if this rule recognizes a given dialect.
diff --git a/_c_op_type_inference_8h_source.html b/_c_op_type_inference_8h_source.html index 2d29fcf7b81..9ecf9066a04 100644 --- a/_c_op_type_inference_8h_source.html +++ b/_c_op_type_inference_8h_source.html @@ -125,7 +125,7 @@
29{
30 bool recognize(const loco::Dialect *) const final;
-
31 bool infer(const loco::Node *, loco::DataType &) const final;
+
31 bool infer(const loco::Node *, loco::DataType &) const final;
32};
33
@@ -137,7 +137,7 @@
Logical unit of computation.
Definition Node.h:54
DataType
"scalar" value type
Definition DataType.h:27
-
std::vector< float > infer()
Definition main.cpp:25
+
std::vector< float > infer()
Definition main.cpp:25
Type Inference Rule for COpDialect.
bool recognize(const loco::Dialect *) const final
Return true if this rule recognizes a given dialect.
diff --git a/_canonical_shape_inference_rule_8cpp_source.html b/_canonical_shape_inference_rule_8cpp_source.html index 018099f7015..243b50860bb 100644 --- a/_canonical_shape_inference_rule_8cpp_source.html +++ b/_canonical_shape_inference_rule_8cpp_source.html @@ -835,7 +835,7 @@
747 ::compat::Context ctx;
748 ::compat::Sink sink;
749
-
750 infer(&ctx, node, &sink);
+
750 infer(&ctx, node, &sink);
751
752 assert(sink.status() == ::compat::Sink::Okay or sink.status() == ::compat::Sink::Fail);
753
@@ -958,7 +958,7 @@
loco::Window< 2 > window_of(const TFKSize &ksize, const TFDataLayout &datalayout)
FeatureShapeUpdater update(loco::FeatureShape &feature_shape)
PlaneShape make_plane_shape(const loco::FeatureShape &feature_shape)
-
std::vector< float > infer()
Definition main.cpp:25
+
std::vector< float > infer()
Definition main.cpp:25
virtual T visit(const Node *)
Default fallback.
diff --git a/_canonical_shape_inference_rule_8h_source.html b/_canonical_shape_inference_rule_8h_source.html index 1e5ab21c412..e1322b60b11 100644 --- a/_canonical_shape_inference_rule_8h_source.html +++ b/_canonical_shape_inference_rule_8h_source.html @@ -126,8 +126,8 @@
29{
30 bool support(const API &ver) const final;
31 bool recognize(const Dialect *) const final;
-
32 bool infer(const Node *, NodeShape &) const final;
-
33 void infer(const Context *, const Node *, Sink *) const final;
+
32 bool infer(const Node *, NodeShape &) const final;
+
33 void infer(const Context *, const Node *, Sink *) const final;
34};
35
@@ -139,7 +139,7 @@
Logical unit of computation.
Definition Node.h:54
-
std::vector< float > infer()
Definition main.cpp:25
+
std::vector< float > infer()
Definition main.cpp:25
Shape inference rule for canonical dialect.
bool support(const API &ver) const final
Check whether a given API is available or not.
bool recognize(const Dialect *) const final
Return true if this rule recognizes a given dialect.
diff --git a/_circle_bidirectional_sequence_l_s_t_m_out_8h.html b/_circle_bidirectional_sequence_l_s_t_m_out_8h.html index 7d2bee521c8..605566f3f2f 100644 --- a/_circle_bidirectional_sequence_l_s_t_m_out_8h.html +++ b/_circle_bidirectional_sequence_l_s_t_m_out_8h.html @@ -96,7 +96,7 @@

Go to the source code of this file.

diff --git a/_circle_bidirectional_sequence_l_s_t_m_out_8h_source.html b/_circle_bidirectional_sequence_l_s_t_m_out_8h_source.html index 49a99af5c70..a5be2337438 100644 --- a/_circle_bidirectional_sequence_l_s_t_m_out_8h_source.html +++ b/_circle_bidirectional_sequence_l_s_t_m_out_8h_source.html @@ -117,7 +117,7 @@
18#define __LUCI_IR_CIRCLE_BIDIRECTIONAL_SEQUENCE_LSTM_OUT_H__
19
- +
22
24
@@ -155,7 +155,7 @@
Nodes with the fixed number of inputs.
- +
diff --git a/_circle_custom_out_8h.html b/_circle_custom_out_8h.html index 030bac3bd61..e52a967fd5a 100644 --- a/_circle_custom_out_8h.html +++ b/_circle_custom_out_8h.html @@ -96,7 +96,7 @@

Go to the source code of this file.

diff --git a/_circle_custom_out_8h_source.html b/_circle_custom_out_8h_source.html index 3d21e704d98..e3c86ad6798 100644 --- a/_circle_custom_out_8h_source.html +++ b/_circle_custom_out_8h_source.html @@ -117,7 +117,7 @@
18#define __LUCI_IR_CIRCLE_CUSTOMOUT_H__
19
- +
22
24
@@ -155,7 +155,7 @@
Nodes with the fixed number of inputs.
- +
diff --git a/_circle_if_out_8h.html b/_circle_if_out_8h.html index f1af3b84c13..87897e48396 100644 --- a/_circle_if_out_8h.html +++ b/_circle_if_out_8h.html @@ -96,7 +96,7 @@

Go to the source code of this file.

diff --git a/_circle_if_out_8h_source.html b/_circle_if_out_8h_source.html index 81232ecef04..f0b68046a98 100644 --- a/_circle_if_out_8h_source.html +++ b/_circle_if_out_8h_source.html @@ -117,7 +117,7 @@
18#define __LUCI_IR_CIRCLE_IFOUT_H__
19
- +
22
24
@@ -154,7 +154,7 @@
Nodes with the fixed number of inputs.
- +
diff --git a/_circle_input_8h.html b/_circle_input_8h.html index ce04ca82b31..ecc02109839 100644 --- a/_circle_input_8h.html +++ b/_circle_input_8h.html @@ -96,7 +96,7 @@
#include "luci/IR/CircleNodeDecl.h"
-#include "luci/IR/CircleOpcode.h"
+#include "luci/IR/CircleOpcode.h"
#include "luci/IR/CircleNodeMixins.h"
#include <loco/IR/DataTypeTraits.h>
#include <loco/IR/GraphInputIndex.h>
diff --git a/_circle_input_8h_source.html b/_circle_input_8h_source.html index 3d4977ceb19..8f9e25cd287 100644 --- a/_circle_input_8h_source.html +++ b/_circle_input_8h_source.html @@ -117,7 +117,7 @@
18#define __LUCI_IR_CIRCLEINPUT_H__
19
- +
22
24
@@ -152,7 +152,7 @@
loco::GraphInputIndex index(void) const
Nodes with the fixed number of inputs.
- +
uint32_t GraphInputIndex
diff --git a/_circle_m_p_q_solver_8cpp.html b/_circle_m_p_q_solver_8cpp.html index 0afce65d267..6b84cf2cbc3 100644 --- a/_circle_m_p_q_solver_8cpp.html +++ b/_circle_m_p_q_solver_8cpp.html @@ -505,7 +505,7 @@

References vconone::get_copyright(), and vconone::get_string().

-

Referenced by entry(), and entry().

+

Referenced by entry(), and entry().

diff --git a/_circle_node_summary_builder_8cpp_source.html b/_circle_node_summary_builder_8cpp_source.html index dbc9e5ce5fc..1c7c9dd6994 100644 --- a/_circle_node_summary_builder_8cpp_source.html +++ b/_circle_node_summary_builder_8cpp_source.html @@ -420,7 +420,7 @@ - +
CIRCLE_NODE(OPCODE, CLASS)
diff --git a/_circle_non_max_suppression_v4_out_8h.html b/_circle_non_max_suppression_v4_out_8h.html index 7651a17b1ba..f139ff7807c 100644 --- a/_circle_non_max_suppression_v4_out_8h.html +++ b/_circle_non_max_suppression_v4_out_8h.html @@ -96,7 +96,7 @@

Go to the source code of this file.

diff --git a/_circle_non_max_suppression_v4_out_8h_source.html b/_circle_non_max_suppression_v4_out_8h_source.html index 815eda16237..70cfbeb7019 100644 --- a/_circle_non_max_suppression_v4_out_8h_source.html +++ b/_circle_non_max_suppression_v4_out_8h_source.html @@ -117,7 +117,7 @@
18#define __LUCI_IR_CIRCLE_NONMAXSUPPRESSIONV4OUT_H__
19
- +
22
24
@@ -155,7 +155,7 @@
Nodes with the fixed number of inputs.
- +
diff --git a/_circle_non_max_suppression_v5_out_8h.html b/_circle_non_max_suppression_v5_out_8h.html index 91fb3dc7c3e..0eab8aeb4bd 100644 --- a/_circle_non_max_suppression_v5_out_8h.html +++ b/_circle_non_max_suppression_v5_out_8h.html @@ -96,7 +96,7 @@

Go to the source code of this file.

diff --git a/_circle_non_max_suppression_v5_out_8h_source.html b/_circle_non_max_suppression_v5_out_8h_source.html index 6a304a00efe..2863031b449 100644 --- a/_circle_non_max_suppression_v5_out_8h_source.html +++ b/_circle_non_max_suppression_v5_out_8h_source.html @@ -117,7 +117,7 @@
18#define __LUCI_IR_CIRCLE_NONMAXSUPPRESSIONV5OUT_H__
19
- +
22
24
@@ -155,7 +155,7 @@
Nodes with the fixed number of inputs.
- +
diff --git a/_circle_op_code_8cpp.html b/_circle_op_code_8cpp.html index be53af538fb..92d8f2c5050 100644 --- a/_circle_op_code_8cpp.html +++ b/_circle_op_code_8cpp.html @@ -96,7 +96,7 @@
CircleOpCode.cpp File Reference
-
#include "CircleOpCode.h"
+
#include "CircleOpCode.h"
#include <luci/IR/CircleNodes.h>
#include <luci/IR/CircleNodeVisitor.h>
#include <mio/circle/schema_generated.h>
diff --git a/_circle_op_code_8cpp_source.html b/_circle_op_code_8cpp_source.html index 8641be33026..9c09ae1ea7d 100644 --- a/_circle_op_code_8cpp_source.html +++ b/_circle_op_code_8cpp_source.html @@ -113,7 +113,7 @@
14 * limitations under the License.
15 */
16
-
17#include "CircleOpCode.h"
+
17#include "CircleOpCode.h"
18
19#include <luci/IR/CircleNodes.h>
@@ -182,7 +182,7 @@
79} // namespace luci
- +
std::string opcode_name(const CircleNode *node)
diff --git a/_circle_output_8h.html b/_circle_output_8h.html index caa83e764c9..d235089b9f0 100644 --- a/_circle_output_8h.html +++ b/_circle_output_8h.html @@ -96,7 +96,7 @@
diff --git a/_circle_output_8h_source.html b/_circle_output_8h_source.html index d08548c7c75..e75c638ac2d 100644 --- a/_circle_output_8h_source.html +++ b/_circle_output_8h_source.html @@ -117,7 +117,7 @@
18#define __LUCI_IR_CIRCLEOUTPUT_H__
19
- +
22
24
@@ -182,7 +182,7 @@
Nodes with the fixed number of inputs.
- +
uint32_t GraphOutputIndex
diff --git a/_circle_shape_inference_8h_source.html b/_circle_shape_inference_8h_source.html index 20785e58c87..8367041c771 100644 --- a/_circle_shape_inference_8h_source.html +++ b/_circle_shape_inference_8h_source.html @@ -133,7 +133,7 @@
33struct Rule
34{
-
35 bool infer(const luci::CircleNode *, loco::TensorShape &) const;
+
35 bool infer(const luci::CircleNode *, loco::TensorShape &) const;
36};
37
@@ -306,7 +306,7 @@ -
std::vector< float > infer()
Definition main.cpp:25
+
std::vector< float > infer()
Definition main.cpp:25
diff --git a/_circle_split_out_8h.html b/_circle_split_out_8h.html index c8b2be1d9ab..e0ab2c5571d 100644 --- a/_circle_split_out_8h.html +++ b/_circle_split_out_8h.html @@ -96,7 +96,7 @@

Go to the source code of this file.

diff --git a/_circle_split_out_8h_source.html b/_circle_split_out_8h_source.html index e0d39a8fedc..ba071caf76a 100644 --- a/_circle_split_out_8h_source.html +++ b/_circle_split_out_8h_source.html @@ -117,7 +117,7 @@
18#define __LUCI_IR_CIRCLE_SPLITOUT_H__
19
- +
22
24
@@ -154,7 +154,7 @@
Nodes with the fixed number of inputs.
- +
diff --git a/_circle_split_v_out_8h.html b/_circle_split_v_out_8h.html index cfaeb9d63e6..de04a6e6e67 100644 --- a/_circle_split_v_out_8h.html +++ b/_circle_split_v_out_8h.html @@ -96,7 +96,7 @@

Go to the source code of this file.

diff --git a/_circle_split_v_out_8h_source.html b/_circle_split_v_out_8h_source.html index f28213ae553..df550f9fda2 100644 --- a/_circle_split_v_out_8h_source.html +++ b/_circle_split_v_out_8h_source.html @@ -117,7 +117,7 @@
18#define __LUCI_IR_CIRCLE_SPLITVOUT_H__
19
- +
22
24
@@ -155,7 +155,7 @@
Nodes with the fixed number of inputs.
- +
diff --git a/_circle_top_k_v2_out_8h.html b/_circle_top_k_v2_out_8h.html index ccc9eff0ffe..e2713b7027c 100644 --- a/_circle_top_k_v2_out_8h.html +++ b/_circle_top_k_v2_out_8h.html @@ -96,7 +96,7 @@

Go to the source code of this file.

diff --git a/_circle_top_k_v2_out_8h_source.html b/_circle_top_k_v2_out_8h_source.html index 9924929de25..8ba29f1b399 100644 --- a/_circle_top_k_v2_out_8h_source.html +++ b/_circle_top_k_v2_out_8h_source.html @@ -117,7 +117,7 @@
18#define __LUCI_IR_CIRCLE_TOPK_V2_OUT_H__
19
- +
22
24
@@ -155,7 +155,7 @@
Nodes with the fixed number of inputs.
- +
diff --git a/_circle_unique_out_8h.html b/_circle_unique_out_8h.html index 0c6753524e5..2b108adc945 100644 --- a/_circle_unique_out_8h.html +++ b/_circle_unique_out_8h.html @@ -96,7 +96,7 @@

Go to the source code of this file.

diff --git a/_circle_unique_out_8h_source.html b/_circle_unique_out_8h_source.html index dab1473dffc..7598e13e172 100644 --- a/_circle_unique_out_8h_source.html +++ b/_circle_unique_out_8h_source.html @@ -117,7 +117,7 @@
18#define __LUCI_IR_CIRCLE_UNIQUEOUT_H__
19
- +
22
24
@@ -155,7 +155,7 @@
Nodes with the fixed number of inputs.
- +
diff --git a/_circle_unpack_out_8h.html b/_circle_unpack_out_8h.html index 692c32ea54d..81660290f9c 100644 --- a/_circle_unpack_out_8h.html +++ b/_circle_unpack_out_8h.html @@ -96,7 +96,7 @@

Go to the source code of this file.

diff --git a/_circle_unpack_out_8h_source.html b/_circle_unpack_out_8h_source.html index 32fab179e23..3f5e84bbabb 100644 --- a/_circle_unpack_out_8h_source.html +++ b/_circle_unpack_out_8h_source.html @@ -117,7 +117,7 @@
18#define __LUCI_IR_CIRCLE_UNPACKOUT_H__
19
- +
22
24
@@ -155,7 +155,7 @@
Nodes with the fixed number of inputs.
- +
diff --git a/_circle_while_out_8h.html b/_circle_while_out_8h.html index acac15028ec..6dbf97699e9 100644 --- a/_circle_while_out_8h.html +++ b/_circle_while_out_8h.html @@ -96,7 +96,7 @@

Go to the source code of this file.

diff --git a/_circle_while_out_8h_source.html b/_circle_while_out_8h_source.html index 1bca4c32e4c..f51819fc4db 100644 --- a/_circle_while_out_8h_source.html +++ b/_circle_while_out_8h_source.html @@ -117,7 +117,7 @@
18#define __LUCI_IR_CIRCLE_WHILEOUT_H__
19
- +
22
24
@@ -154,7 +154,7 @@
Nodes with the fixed number of inputs.
- +
diff --git a/_common_sub_expression_elimination_pass_8cpp_source.html b/_common_sub_expression_elimination_pass_8cpp_source.html index fa96f86a492..b0baca61713 100644 --- a/_common_sub_expression_elimination_pass_8cpp_source.html +++ b/_common_sub_expression_elimination_pass_8cpp_source.html @@ -204,7 +204,7 @@
Subst< SubstQualifier::Default > replace(Node *node)
Definition Node.cpp:82
- +
static Expression build(luci::CircleNode *node)
diff --git a/_concatenation_8float_8cpp.html b/_concatenation_8float_8cpp.html index a82523a4344..3211bcf3337 100644 --- a/_concatenation_8float_8cpp.html +++ b/_concatenation_8float_8cpp.html @@ -175,10 +175,10 @@

39 MatchingArraySize(*input_dims[i], j, output_dims, j);
40 }
41 }
-
42 concat_size += ArraySize(*input_dims[i], concat_dim);
+
42 concat_size += ArraySize(*input_dims[i], concat_dim);
43 }
-
44 DCHECK_EQ(concat_size, ArraySize(output_dims, concat_dim));
-
45 DCHECK(IsPackedWithoutStrides(output_dims));
+
44 DCHECK_EQ(concat_size, ArraySize(output_dims, concat_dim));
+
45 DCHECK(IsPackedWithoutStrides(output_dims));
46 // for now we dont have a model with a Concatenation
47 // with fused activation function.
@@ -199,17 +199,17 @@

63 }
64}
-
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
-
bool IsPackedWithoutStrides(const Dims< N > &dims)
Definition Dims.h:155
#define DCHECK_GT(x, y)
Definition Macro.h:37
#define DCHECK_EQ(x, y)
Definition Macro.h:29
#define DCHECK(condition)
Definition Macro.h:25
+
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
+
bool IsPackedWithoutStrides(const Dims< N > &dims)
Definition Dims.h:155
int MatchingArraySize(const ArrayType1 &array1, int index1, const ArrayType2 &array2, int index2)
Definition Array.h:31
-
int sizes[N]
Definition Dims.h:27
-
int strides[N]
Definition Dims.h:28
+
int sizes[N]
Definition Dims.h:27
+
int strides[N]
Definition Dims.h:28
-

References ArraySize(), DCHECK, DCHECK_EQ, DCHECK_GT, IsPackedWithoutStrides(), kNone, MatchingArraySize(), Dims< N >::sizes, and Dims< N >::strides.

+

References ArraySize(), DCHECK, DCHECK_EQ, DCHECK_GT, IsPackedWithoutStrides(), kNone, MatchingArraySize(), Dims< N >::sizes, and Dims< N >::strides.

Referenced by tflite::reference_ops::DepthConcatenation(), tflite::reference_ops::LstmCell(), and tflite::reference_ops::LstmCell().

@@ -266,22 +266,22 @@

72 std::vector<Dims<4>> inputDims(num_inputs);
74 {
-
75 inputDims[i] = convertShapeToDims(inputShapes[i]);
+
75 inputDims[i] = convertShapeToDims(inputShapes[i]);
76 inputDimsPtr[i] = &inputDims[i];
77 }
78
79 Concatenation<FusedActivationFunctionType::kNone, float>(
80 getNumberOfDimensions(outputShape) - axis - 1, inputDataPtrs.data(), inputDimsPtr.data(),
-
81 num_inputs, outputData, convertShapeToDims(outputShape));
+
81 num_inputs, outputData, convertShapeToDims(outputShape));
82
83 return true;
84}
-
Dims< 4 > convertShapeToDims(const Shape &shape)
Definition Dims.h:31
+
Dims< 4 > convertShapeToDims(const Shape &shape)
Definition Dims.h:31
uint32_t getNumberOfDimensions(const Shape &shape)
Definition Shape.cpp:58
Option< std::vector< int > > inputShapes(optname("--input-shape"), overview("Shape of caffe2 input"), std::vector< int >{}, optional(false), optvalues(""), nullptr, separators(""), showopt(false), IOption::Group::caffe2)
Definition Options.h:32
-

References convertShapeToDims(), and getNumberOfDimensions().

+

References convertShapeToDims(), and getNumberOfDimensions().

diff --git a/_concatenation_8float_8cpp_source.html b/_concatenation_8float_8cpp_source.html index 99f53989398..dd7e5a7b17f 100644 --- a/_concatenation_8float_8cpp_source.html +++ b/_concatenation_8float_8cpp_source.html @@ -139,10 +139,10 @@
39 MatchingArraySize(*input_dims[i], j, output_dims, j);
40 }
41 }
-
42 concat_size += ArraySize(*input_dims[i], concat_dim);
+
42 concat_size += ArraySize(*input_dims[i], concat_dim);
43 }
-
44 DCHECK_EQ(concat_size, ArraySize(output_dims, concat_dim));
-
45 DCHECK(IsPackedWithoutStrides(output_dims));
+
44 DCHECK_EQ(concat_size, ArraySize(output_dims, concat_dim));
+
45 DCHECK(IsPackedWithoutStrides(output_dims));
46 // for now we dont have a model with a Concatenation
47 // with fused activation function.
@@ -174,13 +174,13 @@
72 std::vector<Dims<4>> inputDims(num_inputs);
73 for (int i = 0; i < num_inputs; i++)
74 {
-
75 inputDims[i] = convertShapeToDims(inputShapes[i]);
+
75 inputDims[i] = convertShapeToDims(inputShapes[i]);
76 inputDimsPtr[i] = &inputDims[i];
77 }
78
79 Concatenation<FusedActivationFunctionType::kNone, float>(
80 getNumberOfDimensions(outputShape) - axis - 1, inputDataPtrs.data(), inputDimsPtr.data(),
-
81 num_inputs, outputData, convertShapeToDims(outputShape));
+
81 num_inputs, outputData, convertShapeToDims(outputShape));
82
83 return true;
84}
@@ -191,18 +191,18 @@ -
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
-
bool IsPackedWithoutStrides(const Dims< N > &dims)
Definition Dims.h:155
-
Dims< 4 > convertShapeToDims(const Shape &shape)
Definition Dims.h:31
#define DCHECK_GT(x, y)
Definition Macro.h:37
#define DCHECK_EQ(x, y)
Definition Macro.h:29
#define DCHECK(condition)
Definition Macro.h:25
+
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
+
bool IsPackedWithoutStrides(const Dims< N > &dims)
Definition Dims.h:155
+
Dims< 4 > convertShapeToDims(const Shape &shape)
Definition Dims.h:31
uint32_t getNumberOfDimensions(const Shape &shape)
Definition Shape.cpp:58
int MatchingArraySize(const ArrayType1 &array1, int index1, const ArrayType2 &array2, int index2)
Definition Array.h:31
-
Definition Dims.h:26
-
int sizes[N]
Definition Dims.h:27
-
int strides[N]
Definition Dims.h:28
+
Definition Dims.h:26
+
int sizes[N]
Definition Dims.h:27
+
int strides[N]
Definition Dims.h:28
Definition Shape.h:28
diff --git a/_concatenation_8float_8h.html b/_concatenation_8float_8h.html index 7c6b04314d8..ae600fea450 100644 --- a/_concatenation_8float_8h.html +++ b/_concatenation_8float_8h.html @@ -157,22 +157,22 @@

72 std::vector<Dims<4>> inputDims(num_inputs);
74 {
-
75 inputDims[i] = convertShapeToDims(inputShapes[i]);
+
75 inputDims[i] = convertShapeToDims(inputShapes[i]);
76 inputDimsPtr[i] = &inputDims[i];
77 }
78
79 Concatenation<FusedActivationFunctionType::kNone, float>(
80 getNumberOfDimensions(outputShape) - axis - 1, inputDataPtrs.data(), inputDimsPtr.data(),
-
81 num_inputs, outputData, convertShapeToDims(outputShape));
+
81 num_inputs, outputData, convertShapeToDims(outputShape));
82
83 return true;
84}
-
Dims< 4 > convertShapeToDims(const Shape &shape)
Definition Dims.h:31
+
Dims< 4 > convertShapeToDims(const Shape &shape)
Definition Dims.h:31
uint32_t getNumberOfDimensions(const Shape &shape)
Definition Shape.cpp:58
Option< std::vector< int > > inputShapes(optname("--input-shape"), overview("Shape of caffe2 input"), std::vector< int >{}, optional(false), optvalues(""), nullptr, separators(""), showopt(false), IOption::Group::caffe2)
Definition Options.h:32
-

References convertShapeToDims(), and getNumberOfDimensions().

+

References convertShapeToDims(), and getNumberOfDimensions().

diff --git a/_conv2_d_8float_8cpp.html b/_conv2_d_8float_8cpp.html index fc46459a307..6e4e0f3b46e 100644 --- a/_conv2_d_8float_8cpp.html +++ b/_conv2_d_8float_8cpp.html @@ -143,10 +143,10 @@

Value:
Conv<FusedActivationFunctionType::activation>( \
-
inputData, convertShapeToDims(inputShape), filterData, convertShapeToDims(filterShape), \
-
biasData, convertShapeToDims(biasShape), stride_width, stride_height, paddingWidth, \
-
paddingHeight, outputData, convertShapeToDims(outputShape), im2colData, im2colDim)
-
Dims< 4 > convertShapeToDims(const Shape &shape)
Definition Dims.h:31
+
inputData, convertShapeToDims(inputShape), filterData, convertShapeToDims(filterShape), \
+
biasData, convertShapeToDims(biasShape), stride_width, stride_height, paddingWidth, \
+
paddingHeight, outputData, convertShapeToDims(outputShape), im2colData, im2colDim)
+
Dims< 4 > convertShapeToDims(const Shape &shape)
Definition Dims.h:31
@@ -297,8 +297,8 @@

157
158 const float *gemm_input_data = nullptr;
159 const Dims<4> *gemm_input_dims = nullptr;
-
160 const int filter_width = ArraySize(filter_dims, 1);
-
161 const int filter_height = ArraySize(filter_dims, 2);
+
160 const int filter_width = ArraySize(filter_dims, 1);
+
161 const int filter_height = ArraySize(filter_dims, 2);
162 const bool need_im2col =
163 stride_width != 1 || stride_height != 1 || filter_width != 1 || filter_height != 1;
164 if (need_im2col)
@@ -329,13 +329,13 @@

void Im2col(const T *input_data, const Dims< 4 > &input_dims, int stride_width, int stride_height, int pad_width, int pad_height, int kheight, int kwidth, uint8 byte_zero, T *output_data, const Dims< 4 > &output_dims)
MatrixMap< Scalar > MapAsMatrixWithLastDimAsCols(Scalar *data, const Dims< N > &dims)
Definition Matrix.h:73
MatrixMap< Scalar > MapAsMatrixWithFirstDimAsRows(Scalar *data, const Dims< N > &dims)
Definition Matrix.h:60
-
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
#define DCHECK(condition)
Definition Macro.h:25
+
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
void Gemm(const Eigen::MatrixBase< Lhs > &lhs, const Eigen::MatrixBase< Rhs > &rhs, Eigen::MatrixBase< Result > *result)
Definition GEMM.h:24
-
Definition Dims.h:26
+
Definition Dims.h:26
-

References ArraySize(), DCHECK, Gemm(), Im2col(), MapAsMatrixWithFirstDimAsRows(), and MapAsMatrixWithLastDimAsCols().

+

References ArraySize(), DCHECK, Gemm(), Im2col(), MapAsMatrixWithFirstDimAsRows(), and MapAsMatrixWithLastDimAsCols().

Referenced by mir_onnx::registerSupportedOps().

@@ -626,7 +626,7 @@

53 const int single_row_num = std::min(kwidth - w_offset, in_width - iw_start) * in_depth;
54 const int output_row_offset = (buffer_id * single_buffer_length);
55 int out_offset = output_row_offset + (h_offset * kwidth + w_offset) * in_depth;
-
56 int in_offset = Offset(input_dims, 0, iw_start, ih_start, b);
+
56 int in_offset = Offset(input_dims, 0, iw_start, ih_start, b);
57
58 // Express all of the calculations as padding around the input patch.
59 const int top_padding = h_offset;
@@ -684,11 +684,11 @@

111 memset(conv_buffer_data + bottom_start, byte_zero, (bottom_row_elements * sizeof(T)));
112 }
113}
-
int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
Definition Dims.h:64
+
int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
Definition Dims.h:64
-

References Offset().

+

References Offset().

Referenced by Im2col().

@@ -778,15 +778,15 @@

Definition at line 116 of file Conv2D.float.cpp.

119{
-
120 DCHECK(IsPackedWithoutStrides(input_dims));
-
121 DCHECK(IsPackedWithoutStrides(output_dims));
+
120 DCHECK(IsPackedWithoutStrides(input_dims));
+
121 DCHECK(IsPackedWithoutStrides(output_dims));
122 const int batches = MatchingArraySize(input_dims, 3, output_dims, 3);
-
123 const int input_depth = ArraySize(input_dims, 0);
-
124 const int input_width = ArraySize(input_dims, 1);
-
125 const int input_height = ArraySize(input_dims, 2);
-
126 const int output_depth = ArraySize(output_dims, 0);
-
127 const int output_width = ArraySize(output_dims, 1);
-
128 const int output_height = ArraySize(output_dims, 2);
+
123 const int input_depth = ArraySize(input_dims, 0);
+
124 const int input_width = ArraySize(input_dims, 1);
+
125 const int input_height = ArraySize(input_dims, 2);
+
126 const int output_depth = ArraySize(output_dims, 0);
+
127 const int output_width = ArraySize(output_dims, 1);
+
128 const int output_height = ArraySize(output_dims, 2);
129
130 int buffer_id = 0;
131 // Loop over the output nodes.
@@ -806,11 +806,11 @@

145 }

146}
void ExtractPatchIntoBufferColumn(const Dims< 4 > &input_dims, int w, int h, int b, int kheight, int kwidth, int stride_width, int stride_height, int pad_width, int pad_height, int in_width, int in_height, int in_depth, int single_buffer_length, int buffer_id, const T *in_data, T *conv_buffer_data, uint8 byte_zero)
-
bool IsPackedWithoutStrides(const Dims< N > &dims)
Definition Dims.h:155
+
bool IsPackedWithoutStrides(const Dims< N > &dims)
Definition Dims.h:155
int MatchingArraySize(const ArrayType1 &array1, int index1, const ArrayType2 &array2, int index2)
Definition Array.h:31
-

References ArraySize(), DCHECK, ExtractPatchIntoBufferColumn(), IsPackedWithoutStrides(), and MatchingArraySize().

+

References ArraySize(), DCHECK, ExtractPatchIntoBufferColumn(), IsPackedWithoutStrides(), and MatchingArraySize().

Referenced by Conv().

diff --git a/_conv2_d_8float_8cpp_source.html b/_conv2_d_8float_8cpp_source.html index f4939cc7435..868b146e164 100644 --- a/_conv2_d_8float_8cpp_source.html +++ b/_conv2_d_8float_8cpp_source.html @@ -153,7 +153,7 @@
53 const int single_row_num = std::min(kwidth - w_offset, in_width - iw_start) * in_depth;
54 const int output_row_offset = (buffer_id * single_buffer_length);
55 int out_offset = output_row_offset + (h_offset * kwidth + w_offset) * in_depth;
-
56 int in_offset = Offset(input_dims, 0, iw_start, ih_start, b);
+
56 int in_offset = Offset(input_dims, 0, iw_start, ih_start, b);
57
58 // Express all of the calculations as padding around the input patch.
59 const int top_padding = h_offset;
@@ -219,15 +219,15 @@
117 int pad_width, int pad_height, int kheight, int kwidth, uint8 byte_zero, T *output_data,
118 const Dims<4> &output_dims)
119{
-
120 DCHECK(IsPackedWithoutStrides(input_dims));
-
121 DCHECK(IsPackedWithoutStrides(output_dims));
+
120 DCHECK(IsPackedWithoutStrides(input_dims));
+
121 DCHECK(IsPackedWithoutStrides(output_dims));
122 const int batches = MatchingArraySize(input_dims, 3, output_dims, 3);
-
123 const int input_depth = ArraySize(input_dims, 0);
-
124 const int input_width = ArraySize(input_dims, 1);
-
125 const int input_height = ArraySize(input_dims, 2);
-
126 const int output_depth = ArraySize(output_dims, 0);
-
127 const int output_width = ArraySize(output_dims, 1);
-
128 const int output_height = ArraySize(output_dims, 2);
+
123 const int input_depth = ArraySize(input_dims, 0);
+
124 const int input_width = ArraySize(input_dims, 1);
+
125 const int input_height = ArraySize(input_dims, 2);
+
126 const int output_depth = ArraySize(output_dims, 0);
+
127 const int output_width = ArraySize(output_dims, 1);
+
128 const int output_height = ArraySize(output_dims, 2);
129
130 int buffer_id = 0;
131 // Loop over the output nodes.
@@ -261,8 +261,8 @@
157
158 const float *gemm_input_data = nullptr;
159 const Dims<4> *gemm_input_dims = nullptr;
-
160 const int filter_width = ArraySize(filter_dims, 1);
-
161 const int filter_height = ArraySize(filter_dims, 2);
+
160 const int filter_width = ArraySize(filter_dims, 1);
+
161 const int filter_height = ArraySize(filter_dims, 2);
162 const bool need_im2col =
163 stride_width != 1 || stride_height != 1 || filter_width != 1 || filter_height != 1;
164 if (need_im2col)
@@ -377,16 +377,16 @@
MatrixMap< Scalar > MapAsMatrixWithLastDimAsCols(Scalar *data, const Dims< N > &dims)
Definition Matrix.h:73
MatrixMap< Scalar > MapAsMatrixWithFirstDimAsRows(Scalar *data, const Dims< N > &dims)
Definition Matrix.h:60
-
int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
Definition Dims.h:64
-
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
-
bool IsPackedWithoutStrides(const Dims< N > &dims)
Definition Dims.h:155
std::uint8_t uint8
Definition Macro.h:52
#define DCHECK(condition)
Definition Macro.h:25
+
int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
Definition Dims.h:64
+
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
+
bool IsPackedWithoutStrides(const Dims< N > &dims)
Definition Dims.h:155
int MatchingArraySize(const ArrayType1 &array1, int index1, const ArrayType2 &array2, int index2)
Definition Array.h:31
void Gemm(const Eigen::MatrixBase< Lhs > &lhs, const Eigen::MatrixBase< Rhs > &rhs, Eigen::MatrixBase< Result > *result)
Definition GEMM.h:24
-
Definition Dims.h:26
+
Definition Dims.h:26
Definition Shape.h:28
diff --git a/_cpp_code_8cpp.html b/_cpp_code_8cpp.html index 7de71bc5619..bf13d63d7ef 100644 --- a/_cpp_code_8cpp.html +++ b/_cpp_code_8cpp.html @@ -100,7 +100,7 @@ #include "CppGen/MemoryContext.h"
#include "CppGen/Host.h"
#include "CppGen/Subnet.h"
-#include "Dims.h"
+#include "Dims.h"
#include <pp/LinearDocument.h>
#include <pp/MultiLineTextUtils.h>
#include <map>
diff --git a/_cpp_code_8cpp_source.html b/_cpp_code_8cpp_source.html index 961f8f28aea..efc6d18aa8e 100644 --- a/_cpp_code_8cpp_source.html +++ b/_cpp_code_8cpp_source.html @@ -123,7 +123,7 @@
24#include "CppGen/Host.h"
25#include "CppGen/Subnet.h"
26
-
27#include "Dims.h"
+
27#include "Dims.h"
28
29#include <pp/LinearDocument.h>
@@ -657,7 +657,7 @@
Code * code(const SessionID &sess)
Definition Session.cpp:54
uint32_t GlobalOffset
int32_t size[5]
Definition Slice.cpp:35
- +
coco::Module * module(void) const
Definition Code.h:37
diff --git a/_depthwise_conv2_d_8float_8cpp.html b/_depthwise_conv2_d_8float_8cpp.html index 552bc85f2fc..b5f75d12961 100644 --- a/_depthwise_conv2_d_8float_8cpp.html +++ b/_depthwise_conv2_d_8float_8cpp.html @@ -156,10 +156,10 @@

Value:
optimized_ops::DepthwiseConv<FusedActivationFunctionType::activation>( \
-
inputData, convertShapeToDims(inputShape), filterData, convertShapeToDims(filterShape), \
-
biasData, convertShapeToDims(biasShape), stride_width, stride_height, paddingWidth, \
-
paddingHeight, depth_multiplier, outputData, convertShapeToDims(outputShape))
-
Dims< 4 > convertShapeToDims(const Shape &shape)
Definition Dims.h:31
+
inputData, convertShapeToDims(inputShape), filterData, convertShapeToDims(filterShape), \
+
biasData, convertShapeToDims(biasShape), stride_width, stride_height, paddingWidth, \
+
paddingHeight, depth_multiplier, outputData, convertShapeToDims(outputShape))
+
Dims< 4 > convertShapeToDims(const Shape &shape)
Definition Dims.h:31
diff --git a/_depthwise_conv2_d_8float_8cpp_source.html b/_depthwise_conv2_d_8float_8cpp_source.html index 5619475bc50..80402530be9 100644 --- a/_depthwise_conv2_d_8float_8cpp_source.html +++ b/_depthwise_conv2_d_8float_8cpp_source.html @@ -282,13 +282,13 @@
173 "");
174 const int batches = MatchingArraySize(input_dims, 3, output_dims, 3);
175 const int output_depth = MatchingArraySize(filter_dims, 0, output_dims, 0);
-
176 const int input_height = ArraySize(input_dims, 2);
-
177 const int input_width = ArraySize(input_dims, 1);
-
178 const int input_depth = ArraySize(input_dims, 0);
-
179 const int filter_height = ArraySize(filter_dims, 2);
-
180 const int filter_width = ArraySize(filter_dims, 1);
-
181 const int output_height = ArraySize(output_dims, 2);
-
182 const int output_width = ArraySize(output_dims, 1);
+
176 const int input_height = ArraySize(input_dims, 2);
+
177 const int input_width = ArraySize(input_dims, 1);
+
178 const int input_depth = ArraySize(input_dims, 0);
+
179 const int filter_height = ArraySize(filter_dims, 2);
+
180 const int filter_width = ArraySize(filter_dims, 1);
+
181 const int output_height = ArraySize(output_dims, 2);
+
182 const int output_width = ArraySize(output_dims, 1);
183#if 0 // TODO-NNRT : Check if assertion is needed, output depth some times not equal to input *
184 // depthmultiplier
185 DCHECK(output_depth == input_depth * depth_multiplier);
@@ -437,11 +437,11 @@ -
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
#define DCHECK_GE(x, y)
Definition Macro.h:33
#define DCHECK_LE(x, y)
Definition Macro.h:41
#define DCHECK_EQ(x, y)
Definition Macro.h:29
#define DCHECK(condition)
Definition Macro.h:25
+
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
int MatchingArraySize(const ArrayType1 &array1, int index1, const ArrayType2 &array2, int index2)
Definition Array.h:31
@@ -449,8 +449,8 @@
void FloatDepthwiseConvAccumRow(int stride, int input_depth, int input_width, const float *input_data, int pad_width, int depth_multiplier, int filter_width, const float *filter_data, int out_x_buffer_start, int out_x_buffer_end, int output_depth, float *acc_buffer)
void DepthwiseConv(const float *input_data, const Dims< 4 > &input_dims, const float *filter_data, const Dims< 4 > &filter_dims, const float *bias_data, const Dims< 4 > &bias_dims, int stride_width, int stride_height, int pad_width, int pad_height, int depth_multiplier, float *output_data, const Dims< 4 > &output_dims)
void FloatDepthwiseConvAccumRowGeneric(int stride, int input_depth, int input_width, const float *input_data, int pad_width, int depth_multiplier, int filter_width, const float *filter_data, int out_x_buffer_start, int out_x_buffer_end, int output_depth, float *acc_buffer)
-
Definition Dims.h:26
-
int strides[N]
Definition Dims.h:28
+
Definition Dims.h:26
+
int strides[N]
Definition Dims.h:28
Definition Shape.h:28
diff --git a/_dev_manager_8cc_source.html b/_dev_manager_8cc_source.html index 550e64e4756..3a6bacc8dab 100644 --- a/_dev_manager_8cc_source.html +++ b/_dev_manager_8cc_source.html @@ -139,7 +139,7 @@
38
39 DIR *dir;
-
40 struct dirent *entry;
+
40 struct dirent *entry;
41
42 // NOTE
43 // Return NULL(0) value when opendir or readdir error occurs.
@@ -151,9 +151,9 @@
49 return;
50 }
51
-
52 while ((entry = readdir(dir)) != NULL)
+
52 while ((entry = readdir(dir)) != NULL)
53 {
-
54 std::string modulePath(entry->d_name);
+
54 std::string modulePath(entry->d_name);
55 if (modulePath.find("npud_backend") == std::string::npos)
56 {
57 continue;
@@ -309,7 +309,7 @@
int createRequest(NpuContext *npuContext, ModelID modelId, RequestID *requestId)
int registerModel(NpuContext *npuContext, const std::string &modelPath, ModelID *modelId)
-
int entry(const int argc, char **argv)
Definition Driver.cpp:53
+
int entry(const int argc, char **argv)
Definition Driver.cpp:53
#define VERBOSE(name, lv)
Definition Log.h:71
uint32_t RequestID
Npu request ID.
Definition Backend.h:44
@ NPU_STATUS_ERROR_OPERATION_FAILED
Definition Backend.h:120
diff --git a/_div_8float_8cpp.html b/_div_8float_8cpp.html index f5414d5861e..a0eddc4ea49 100644 --- a/_div_8float_8cpp.html +++ b/_div_8float_8cpp.html @@ -139,10 +139,10 @@

Value:
BroadcastDiv<FusedActivationFunctionType::activation>( \
-
-
in2, convertShapeToDims(shape2), \
-
out, convertShapeToDims(shapeOut))
-
Dims< 4 > convertShapeToDims(const Shape &shape)
Definition Dims.h:31
+
in1, convertShapeToDims(shape1), \
+
in2, convertShapeToDims(shape2), \
+
out, convertShapeToDims(shapeOut))
+
Dims< 4 > convertShapeToDims(const Shape &shape)
Definition Dims.h:31
@@ -161,9 +161,9 @@

-Value:
-
in2, convertShapeToDims(shape2), \
-
out, convertShapeToDims(shapeOut))
+Value:
Div<FusedActivationFunctionType::activation>(in1, convertShapeToDims(shape1), \
+
in2, convertShapeToDims(shape2), \
+
out, convertShapeToDims(shapeOut))
@@ -237,15 +237,15 @@

74 // We name our variables by their Tensorflow convention, but generate C code
75 // nesting loops such that the innermost loop has the smallest stride for the
76 // best cache behavior.
-
77 for (int b = 0; b < ArraySize(output_dims, 3); ++b)
+
77 for (int b = 0; b < ArraySize(output_dims, 3); ++b)
78 {
-
79 for (int y = 0; y < ArraySize(output_dims, 2); ++y)
+
79 for (int y = 0; y < ArraySize(output_dims, 2); ++y)
80 {
-
81 for (int x = 0; x < ArraySize(output_dims, 1); ++x)
+
81 for (int x = 0; x < ArraySize(output_dims, 1); ++x)
82 {
-
83 for (int c = 0; c < ArraySize(output_dims, 0); ++c)
+
83 for (int c = 0; c < ArraySize(output_dims, 0); ++c)
84 {
-
85 output_data[Offset(output_dims, c, x, y, b)] =
+
85 output_data[Offset(output_dims, c, x, y, b)] =
86 ActivationFunction<Ac>(input1_data[SubscriptToIndex(desc1, c, x, y, b)] /
87 input2_data[SubscriptToIndex(desc2, c, x, y, b)]);
88 }
@@ -257,13 +257,13 @@

int SubscriptToIndex(const NdArrayDesc< 4 > &desc, int i0, int i1, int i2, int i3)
Definition NDArray.h:54
NdArrayDesc< 4 > desc1
NdArrayDesc< 4 > desc2
-
int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
Definition Dims.h:64
-
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
+
int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
Definition Dims.h:64
+
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
-

References ArraySize(), desc1, desc2, NdArrayDescsForElementwiseBroadcast(), Offset(), and SubscriptToIndex().

+

References ArraySize(), desc1, desc2, NdArrayDescsForElementwiseBroadcast(), Offset(), and SubscriptToIndex().

@@ -325,9 +325,9 @@

32 MatchingArraySize(input1_dims, 2, input2_dims, 2, output_dims, 2);
33 MatchingArraySize(input1_dims, 1, input2_dims, 1, output_dims, 1);
34 MatchingArraySize(input1_dims, 0, input2_dims, 0, output_dims, 0);
-
35 DCHECK(IsPackedWithoutStrides(input1_dims));
-
36 DCHECK(IsPackedWithoutStrides(input2_dims));
-
37 DCHECK(IsPackedWithoutStrides(output_dims));
+
35 DCHECK(IsPackedWithoutStrides(input1_dims));
+
36 DCHECK(IsPackedWithoutStrides(input2_dims));
+
37 DCHECK(IsPackedWithoutStrides(output_dims));
38
39 const int size = input1_dims.sizes[3] * input1_dims.strides[3];
40
@@ -337,16 +337,16 @@

44 output_data[i] = ActivationFunction<Ac>(x);
45 }
46}
-
bool IsPackedWithoutStrides(const Dims< N > &dims)
Definition Dims.h:155
#define DCHECK(condition)
Definition Macro.h:25
+
bool IsPackedWithoutStrides(const Dims< N > &dims)
Definition Dims.h:155
int MatchingArraySize(const ArrayType1 &array1, int index1, const ArrayType2 &array2, int index2)
Definition Array.h:31
int32_t size[5]
Definition Slice.cpp:35
-
int sizes[N]
Definition Dims.h:27
-
int strides[N]
Definition Dims.h:28
+
int sizes[N]
Definition Dims.h:27
+
int strides[N]
Definition Dims.h:28
-

References DCHECK, IsPackedWithoutStrides(), MatchingArraySize(), size, Dims< N >::sizes, and Dims< N >::strides.

+

References DCHECK, IsPackedWithoutStrides(), MatchingArraySize(), size, Dims< N >::sizes, and Dims< N >::strides.

Referenced by mir_onnx::registerSupportedOps().

diff --git a/_div_8float_8cpp_source.html b/_div_8float_8cpp_source.html index bdeffa19af0..becdf9da692 100644 --- a/_div_8float_8cpp_source.html +++ b/_div_8float_8cpp_source.html @@ -132,9 +132,9 @@
32 MatchingArraySize(input1_dims, 2, input2_dims, 2, output_dims, 2);
33 MatchingArraySize(input1_dims, 1, input2_dims, 1, output_dims, 1);
34 MatchingArraySize(input1_dims, 0, input2_dims, 0, output_dims, 0);
-
35 DCHECK(IsPackedWithoutStrides(input1_dims));
-
36 DCHECK(IsPackedWithoutStrides(input2_dims));
-
37 DCHECK(IsPackedWithoutStrides(output_dims));
+
35 DCHECK(IsPackedWithoutStrides(input1_dims));
+
36 DCHECK(IsPackedWithoutStrides(input2_dims));
+
37 DCHECK(IsPackedWithoutStrides(output_dims));
38
39 const int size = input1_dims.sizes[3] * input1_dims.strides[3];
40
@@ -176,15 +176,15 @@
74 // We name our variables by their Tensorflow convention, but generate C code
75 // nesting loops such that the innermost loop has the smallest stride for the
76 // best cache behavior.
-
77 for (int b = 0; b < ArraySize(output_dims, 3); ++b)
+
77 for (int b = 0; b < ArraySize(output_dims, 3); ++b)
78 {
-
79 for (int y = 0; y < ArraySize(output_dims, 2); ++y)
+
79 for (int y = 0; y < ArraySize(output_dims, 2); ++y)
80 {
-
81 for (int x = 0; x < ArraySize(output_dims, 1); ++x)
+
81 for (int x = 0; x < ArraySize(output_dims, 1); ++x)
82 {
-
83 for (int c = 0; c < ArraySize(output_dims, 0); ++c)
+
83 for (int c = 0; c < ArraySize(output_dims, 0); ++c)
84 {
-
85 output_data[Offset(output_dims, c, x, y, b)] =
+
85 output_data[Offset(output_dims, c, x, y, b)] =
86 ActivationFunction<Ac>(input1_data[SubscriptToIndex(desc1, c, x, y, b)] /
87 input2_data[SubscriptToIndex(desc2, c, x, y, b)]);
88 }
@@ -240,17 +240,17 @@
int SubscriptToIndex(const NdArrayDesc< 4 > &desc, int i0, int i1, int i2, int i3)
Definition NDArray.h:54
NdArrayDesc< 4 > desc1
NdArrayDesc< 4 > desc2
-
int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
Definition Dims.h:64
-
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
-
bool IsPackedWithoutStrides(const Dims< N > &dims)
Definition Dims.h:155
#define DCHECK(condition)
Definition Macro.h:25
+
int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
Definition Dims.h:64
+
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
+
bool IsPackedWithoutStrides(const Dims< N > &dims)
Definition Dims.h:155
bool SameShape(const Shape &in1, const Shape &in2)
Definition Shape.cpp:22
int MatchingArraySize(const ArrayType1 &array1, int index1, const ArrayType2 &array2, int index2)
Definition Array.h:31
int32_t size[5]
Definition Slice.cpp:35
-
Definition Dims.h:26
-
int sizes[N]
Definition Dims.h:27
-
int strides[N]
Definition Dims.h:28
+
Definition Dims.h:26
+
int sizes[N]
Definition Dims.h:27
+
int strides[N]
Definition Dims.h:28
Definition Shape.h:28
diff --git a/_driver_8h_source.html b/_driver_8h_source.html index ab2609ce5df..a565039dd7d 100644 --- a/_driver_8h_source.html +++ b/_driver_8h_source.html @@ -164,7 +164,7 @@
DriverException()=default
DriverException(std::string reason)
Definition Driver.h:35
Compiler Driver manages the whole pipeline compilation process.
Definition Driver.h:48
-
void runDriver()
main method to run compiler driver
Definition Driver.cpp:208
+
void runDriver()
main method to run compiler driver
Definition Driver.cpp:208
pass manager class. This class manages running of passes
Definition PassManager.h:33
diff --git a/_elementwise_8cpp.html b/_elementwise_8cpp.html index 309e6ad5dce..b7e4ed2bdcf 100644 --- a/_elementwise_8cpp.html +++ b/_elementwise_8cpp.html @@ -133,14 +133,14 @@

Definition at line 21 of file Elementwise.cpp.

22{
-
23 ASSERT(getNumberOfDimensions(input) <= 4);
+
23 ASSERT(getNumberOfDimensions(input) <= 4);
24 return SetShape(input, output);
25}
+
#define ASSERT(v)
Definition Assert.h:24
bool SetShape(const Shape &in, Shape *out)
Definition Shape.cpp:38
uint32_t getNumberOfDimensions(const Shape &shape)
Definition Shape.cpp:58
-
#define ASSERT(v)
Definition Assert.h:24
-

References ASSERT, getNumberOfDimensions(), and SetShape().

+

References ASSERT, getNumberOfDimensions(), and SetShape().

Referenced by relu6Prepare(), reluPrepare(), and softmaxPrepare().

diff --git a/_elementwise_8cpp_source.html b/_elementwise_8cpp_source.html index 46e87a066a6..8b5987e23e5 100644 --- a/_elementwise_8cpp_source.html +++ b/_elementwise_8cpp_source.html @@ -120,14 +120,14 @@
21bool genericActivationPrepare(const Shape &input, Shape *output)
22{
-
23 ASSERT(getNumberOfDimensions(input) <= 4);
+
23 ASSERT(getNumberOfDimensions(input) <= 4);
24 return SetShape(input, output);
25}
bool genericActivationPrepare(const Shape &input, Shape *output)
+
#define ASSERT(v)
Definition Assert.h:24
bool SetShape(const Shape &in, Shape *out)
Definition Shape.cpp:38
uint32_t getNumberOfDimensions(const Shape &shape)
Definition Shape.cpp:58
-
#define ASSERT(v)
Definition Assert.h:24
Definition Shape.h:28
diff --git a/_elementwise_unary_layer_8cc_source.html b/_elementwise_unary_layer_8cc_source.html index 739f330e3f6..9cd7833f1ac 100644 --- a/_elementwise_unary_layer_8cc_source.html +++ b/_elementwise_unary_layer_8cc_source.html @@ -184,7 +184,7 @@
85
86 auto input_shape = getShape(input);
87 auto output_shape = getShape(output);
-
88 const auto num_elements = MatchingFlatSize(input_shape, output_shape);
+
88 const auto num_elements = MatchingFlatSize(input_shape, output_shape);
89
90 switch (input->data_type())
91 {
@@ -503,7 +503,7 @@
402} // namespace onert
const luci_interpreter::RuntimeShape output_shape
-
int MatchingFlatSize(const Dims< N > &dims, const Dims< N > &check_dims_0)
Definition Dims.h:108
+
int MatchingFlatSize(const Dims< N > &dims, const Dims< N > &check_dims_0)
Definition Dims.h:108
int FlatSize() const
Definition Shape.h:183
A tensor class that is portable for other backends.
diff --git a/_executor_8cpp.html b/_executor_8cpp.html index d125bd50853..0399e16298f 100644 --- a/_executor_8cpp.html +++ b/_executor_8cpp.html @@ -127,7 +127,7 @@ #include "ops/Div.h"
#include "ops/Div.float.h"
#include "Logging.h"
-#include "Assert.h"
+#include "Assert.h"

Go to the source code of this file.

diff --git a/_executor_8cpp_source.html b/_executor_8cpp_source.html index 5df8f5fa691..3835b508a75 100644 --- a/_executor_8cpp_source.html +++ b/_executor_8cpp_source.html @@ -149,7 +149,7 @@
50#include "ops/Div.float.h"
51
52#include "Logging.h"
-
53#include "Assert.h"
+
53#include "Assert.h"
54
@@ -283,7 +283,7 @@
179 {
180 auto poolIndex = from.location.poolIndex;
-
181 ASSERT(poolIndex < modelPoolInfos.size());
+
181 ASSERT(poolIndex < modelPoolInfos.size());
182 auto &r = modelPoolInfos[poolIndex];
183 to.buffer = r.buffer + from.location.offset;
184 to.numberOfUsesLeft = 0;
@@ -296,7 +296,7 @@
191 to.numberOfUsesLeft = 0;
192 break;
193 default:
-
194 ASSERT(false);
+
194 ASSERT(false);
195 break;
196 }
197 }
@@ -305,7 +305,7 @@
200 // modifying the buffer location, and possibly the dimensions.
201 auto updateForArguments = [this, &requestPoolInfos](const std::vector<uint32_t> &indexes,
202 const std::vector<RequestArgument> &arguments) {
-
203 ASSERT(indexes.size() == arguments.size());
+
203 ASSERT(indexes.size() == arguments.size());
204 for (size_t i = 0; i < indexes.size(); i++)
205 {
206 const uint32_t operandIndex = indexes[i];
@@ -323,12 +323,12 @@
218 if (from.hasNoValue)
219 {
-
221 ASSERT(to.buffer == nullptr);
+
221 ASSERT(to.buffer == nullptr);
222 }
223 else
224 {
225 auto poolIndex = from.location.poolIndex;
-
226 ASSERT(poolIndex < requestPoolInfos.size());
+
226 ASSERT(poolIndex < requestPoolInfos.size());
227 auto &r = requestPoolInfos[poolIndex];
228 to.buffer = r.buffer + from.location.offset;
229 }
@@ -353,7 +353,7 @@
248 info.numberOfUsesLeft--;
249 if (info.numberOfUsesLeft == 0)
250 {
-
251 ASSERT(info.buffer != nullptr);
+
251 ASSERT(info.buffer != nullptr);
252 delete[] info.buffer;
253 info.buffer = nullptr;
254 }
@@ -411,7 +411,7 @@
306 RunTimeOperandInfo &out = mOperands[outs[0]];
307 Shape outShape = out.shape();
308
-
309 ASSERT(in1.type == OperandType::TENSOR_FLOAT32);
+
309 ASSERT(in1.type == OperandType::TENSOR_FLOAT32);
310 {
311 success = addPrepare(in1.shape(), in2.shape(), &outShape) &&
312 setInfoAndAllocateIfNeeded(&out, outShape) &&
@@ -472,7 +472,7 @@
367 RunTimeOperandInfo &output = mOperands[outs[0]];
368 Shape outShape = output.shape();
369
-
370 ASSERT(input.type == OperandType::TENSOR_FLOAT32);
+
370 ASSERT(input.type == OperandType::TENSOR_FLOAT32);
371 {
372 success =
373 depthwiseConvPrepare(input.shape(), filter.shape(), bias.shape(), padding_left,
@@ -535,7 +535,7 @@
430 RunTimeOperandInfo &output = mOperands[outs[0]];
431 Shape outShape = output.shape();
432
-
433 ASSERT(input.type == OperandType::TENSOR_FLOAT32);
+
433 ASSERT(input.type == OperandType::TENSOR_FLOAT32);
434 {
435 success =
436 convPrepare(input.shape(), filter.shape(), bias.shape(), padding_left, padding_right,
@@ -597,7 +597,7 @@
492 RunTimeOperandInfo &output = mOperands[outs[0]];
493 Shape outShape = output.shape();
494
-
495 ASSERT(input.type == OperandType::TENSOR_FLOAT32);
+
495 ASSERT(input.type == OperandType::TENSOR_FLOAT32);
496 {
497 success = averagePoolPrepare(input.shape(), padding_left, padding_right, padding_top,
498 padding_bottom, stride_width, stride_height, filter_width,
@@ -658,7 +658,7 @@
553 RunTimeOperandInfo &output = mOperands[outs[0]];
554 Shape outShape = output.shape();
555
-
556 ASSERT(input.type == OperandType::TENSOR_FLOAT32);
+
556 ASSERT(input.type == OperandType::TENSOR_FLOAT32);
557 {
558 success = maxPoolPrepare(input.shape(), padding_left, padding_right, padding_top,
559 padding_bottom, stride_width, stride_height, filter_width,
@@ -684,7 +684,7 @@
579 RunTimeOperandInfo &out = mOperands[outs[0]];
580 Shape outShape = out.shape();
581
-
582 ASSERT(in1.type == OperandType::TENSOR_FLOAT32);
+
582 ASSERT(in1.type == OperandType::TENSOR_FLOAT32);
583 {
584 success = mulPrepare(in1.shape(), in2.shape(), &outShape) &&
585 setInfoAndAllocateIfNeeded(&out, outShape) &&
@@ -704,7 +704,7 @@
599 RunTimeOperandInfo &output = mOperands[outs[0]];
600 Shape outShape = output.shape();
601
-
602 ASSERT(input.type == OperandType::TENSOR_FLOAT32);
+
602 ASSERT(input.type == OperandType::TENSOR_FLOAT32);
603 {
604 success = reluPrepare(input.shape(), &outShape) &&
605 setInfoAndAllocateIfNeeded(&output, outShape) &&
@@ -723,7 +723,7 @@
618 RunTimeOperandInfo &output = mOperands[outs[0]];
619 Shape outShape = output.shape();
620
-
621 ASSERT(input.type == OperandType::TENSOR_FLOAT32);
+
621 ASSERT(input.type == OperandType::TENSOR_FLOAT32);
622 {
623 success = relu6Prepare(input.shape(), &outShape) &&
624 setInfoAndAllocateIfNeeded(&output, outShape) &&
@@ -749,7 +749,7 @@
644 RunTimeOperandInfo &output = mOperands[outs[0]];
645 Shape outShape = output.shape();
646
-
647 ASSERT(input.type == OperandType::TENSOR_FLOAT32);
+
647 ASSERT(input.type == OperandType::TENSOR_FLOAT32);
648 {
649 success = softmaxPrepare(input.shape(), &outShape) &&
650 setInfoAndAllocateIfNeeded(&output, outShape) &&
@@ -773,7 +773,7 @@
668 RunTimeOperandInfo &output = mOperands[outs[0]];
669 Shape outShape = output.shape();
670
-
671 ASSERT(input.type == OperandType::TENSOR_FLOAT32);
+
671 ASSERT(input.type == OperandType::TENSOR_FLOAT32);
672 {
673 success = fullyConnectedPrepare(input.shape(), weights.shape(), bias.shape(), &outShape) &&
674 setInfoAndAllocateIfNeeded(&output, outShape) &&
@@ -797,7 +797,7 @@
692 Shape outShape = output.shape();
693
694 const RunTimeOperandInfo &firstInput = mOperands[ins[0]];
-
695 ASSERT(firstInput.type == OperandType::TENSOR_FLOAT32);
+
695 ASSERT(firstInput.type == OperandType::TENSOR_FLOAT32);
696 {
697 std::vector<Shape> inputShapes(numInputTensors);
698 std::vector<const float *> inputDataPtrs(numInputTensors);
@@ -871,7 +871,7 @@
766 RunTimeOperandInfo &out = mOperands[outs[0]];
767 Shape outShape = out.shape();
768
-
769 ASSERT(in1.type == OperandType::TENSOR_FLOAT32);
+
769 ASSERT(in1.type == OperandType::TENSOR_FLOAT32);
770 {
771 success = subPrepare(in1.shape(), in2.shape(), &outShape) &&
772 setInfoAndAllocateIfNeeded(&out, outShape) &&
@@ -894,7 +894,7 @@
789 RunTimeOperandInfo &out = mOperands[outs[0]];
790 Shape outShape = out.shape();
791
-
792 ASSERT(in1.type == OperandType::TENSOR_FLOAT32);
+
792 ASSERT(in1.type == OperandType::TENSOR_FLOAT32);
793 {
794 success = divPrepare(in1.shape(), in2.shape(), &outShape) &&
795 setInfoAndAllocateIfNeeded(&out, outShape) &&
@@ -967,6 +967,7 @@
bool averagePoolPrepare(const Shape &input, int32_t padding_left, int32_t padding_right, int32_t padding_top, int32_t padding_bottom, int32_t stride_width, int32_t stride_height, int32_t filter_width, int32_t filter_height, Shape *output)
Definition AvgPool2D.cpp:22
int run(const Model &model, const Request &request, const std::vector< RunTimePoolInfo > &modelPoolInfos, const std::vector< RunTimePoolInfo > &requestPoolInfos)
Definition Executor.cpp:126
+
#define ASSERT(v)
Definition Assert.h:24
#define LOG(...)
Definition Logging.h:36
#define VLOG(...)
Definition Logging.h:37
#define NYI(module)
Definition Logging.h:40
@@ -979,7 +980,6 @@
uint32_t sizeOfData(const Operand &operand)
Definition Operand.h:56
uint32_t getNumberOfElements(const Shape &shape)
Definition Shape.cpp:48
uint32_t getSizeOfDimension(const Shape &shape, uint32_t dimensionIdx)
Definition Shape.cpp:60
-
#define ASSERT(v)
Definition Assert.h:24
bool addPrepare(const Shape &in1, const Shape &in2, Shape *out)
Definition Add.cpp:21
bool concatenationPrepare(const std::vector< Shape > &inputShapes, int32_t axis, Shape *output)
@@ -1011,7 +1011,7 @@
Option< std::vector< int > > inputShapes(optname("--input-shape"), overview("Shape of caffe2 input"), std::vector< int >{}, optional(false), optvalues(""), nullptr, separators(""), showopt(false), IOption::Group::caffe2)
Definition Options.h:32
-
This file contains helper function of assertion.
+
This file contains helper function of assertion.
uint32_t poolIndex
Definition Operand.h:36
diff --git a/_executor_8h_source.html b/_executor_8h_source.html index 169d751dffd..3b82a2e9ae0 100644 --- a/_executor_8h_source.html +++ b/_executor_8h_source.html @@ -200,7 +200,7 @@
92 bool initializeRunTimeInfo(const std::vector<RunTimePoolInfo> &modelPoolInfos,
93 const std::vector<RunTimePoolInfo> &requestPoolInfos);
94 // Runs one operation of the graph.
-
95 int executeOperation(const Operation &entry);
+
95 int executeOperation(const Operation &entry);
96 // Decrement the usage count for the operands listed. Frees the memory
97 // allocated for any temporary variable with a count of zero.
98 void freeNoLongerUsedOperands(const std::vector<uint32_t> &inputs);
@@ -227,7 +227,7 @@
int run(const Model &model, const Request &request, const std::vector< RunTimePoolInfo > &modelPoolInfos, const std::vector< RunTimePoolInfo > &requestPoolInfos)
Definition Executor.cpp:126
OperandLifeTime
Definition Operand.h:26
-
int entry(const int argc, char **argv)
Definition Driver.cpp:53
+
int entry(const int argc, char **argv)
Definition Driver.cpp:53
Definition Model.h:27
diff --git a/_exo_formatted_graph_8cpp_source.html b/_exo_formatted_graph_8cpp_source.html index 998e7e09317..ff18371c16c 100644 --- a/_exo_formatted_graph_8cpp_source.html +++ b/_exo_formatted_graph_8cpp_source.html @@ -735,7 +735,7 @@ - + diff --git a/_fully_connected_8float_8cpp.html b/_fully_connected_8float_8cpp.html index 56ba236acc9..a167639b8ab 100644 --- a/_fully_connected_8float_8cpp.html +++ b/_fully_connected_8float_8cpp.html @@ -134,9 +134,9 @@

Value:
FullyConnected<FusedActivationFunctionType::activation>( \
-
inputData, convertShapeToDims(inputShape), weightsData, convertShapeToDims(weightsShape), \
-
biasData, convertShapeToDims(biasShape), outputData, convertShapeToDims(outputShape))
-
Dims< 4 > convertShapeToDims(const Shape &shape)
Definition Dims.h:31
+
inputData, convertShapeToDims(inputShape), weightsData, convertShapeToDims(weightsShape), \
+
biasData, convertShapeToDims(biasShape), outputData, convertShapeToDims(outputShape))
+
Dims< 4 > convertShapeToDims(const Shape &shape)
Definition Dims.h:31

@@ -215,7 +215,7 @@

38 // When that is fixed, this should become:
39 // const auto input_matrix_map =
40 // MapAsMatrixWithFirstDimAsRows(input_data, input_dims);
-
+
41 const int input_rows = ArraySize(weights_dims, 0);
42 const auto input_matrix_map =
43 MapAsMatrixWithGivenNumberOfRows(input_data, input_dims, input_rows);
44 const auto filter_matrix_map = MapAsMatrixWithFirstDimAsRows(weights_data, weights_dims);
@@ -226,10 +226,10 @@

49}
MatrixMap< Scalar > MapAsMatrixWithFirstDimAsRows(Scalar *data, const Dims< N > &dims)
Definition Matrix.h:60
MatrixMap< Scalar > MapAsMatrixWithGivenNumberOfRows(Scalar *data, const Dims< N > &dims, int rows)
Definition Matrix.h:110
-
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
+
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
void Gemm(const Eigen::MatrixBase< Lhs > &lhs, const Eigen::MatrixBase< Rhs > &rhs, Eigen::MatrixBase< Result > *result)
Definition GEMM.h:24
-

References ArraySize(), Gemm(), MapAsMatrixWithFirstDimAsRows(), and MapAsMatrixWithGivenNumberOfRows().

+

References ArraySize(), Gemm(), MapAsMatrixWithFirstDimAsRows(), and MapAsMatrixWithGivenNumberOfRows().

Referenced by tflite::reference_ops::LstmCell(), dalgona::PostOperatorHook::visit(), and dalgona::PreOperatorHook::visit().

diff --git a/_fully_connected_8float_8cpp_source.html b/_fully_connected_8float_8cpp_source.html index 1ca71dec839..aa0ff2ed713 100644 --- a/_fully_connected_8float_8cpp_source.html +++ b/_fully_connected_8float_8cpp_source.html @@ -138,7 +138,7 @@
38 // When that is fixed, this should become:
39 // const auto input_matrix_map =
40 // MapAsMatrixWithFirstDimAsRows(input_data, input_dims);
-
41 const int input_rows = ArraySize(weights_dims, 0);
+
41 const int input_rows = ArraySize(weights_dims, 0);
42 const auto input_matrix_map =
43 MapAsMatrixWithGivenNumberOfRows(input_data, input_dims, input_rows);
44 const auto filter_matrix_map = MapAsMatrixWithFirstDimAsRows(weights_data, weights_dims);
@@ -176,10 +176,10 @@
MatrixMap< Scalar > MapAsMatrixWithFirstDimAsRows(Scalar *data, const Dims< N > &dims)
Definition Matrix.h:60
MatrixMap< Scalar > MapAsMatrixWithGivenNumberOfRows(Scalar *data, const Dims< N > &dims, int rows)
Definition Matrix.h:110
-
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
+
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
void Gemm(const Eigen::MatrixBase< Lhs > &lhs, const Eigen::MatrixBase< Rhs > &rhs, Eigen::MatrixBase< Result > *result)
Definition GEMM.h:24
-
Definition Dims.h:26
+
Definition Dims.h:26
Definition Shape.h:28
diff --git a/_function_command_8h_source.html b/_function_command_8h_source.html index c81a2021171..a578da790d1 100644 --- a/_function_command_8h_source.html +++ b/_function_command_8h_source.html @@ -130,7 +130,7 @@
30
31public:
-
32 FunctionCommand(const Entry &entry) : _entry{entry}
+
32 FunctionCommand(const Entry &entry) : _entry{entry}
33 {
34 // DO NOTHING
35 }
@@ -152,7 +152,7 @@
int run(int argc, const char *const *argv) const override
FunctionCommand(const Entry &entry)
int(*)(int argc, const char *const *argv) Entry
-
int entry(const int argc, char **argv)
Definition Driver.cpp:53
+
int entry(const int argc, char **argv)
Definition Driver.cpp:53
Definition App.h:27
diff --git a/_fuse_activation_function_pass_8cpp.html b/_fuse_activation_function_pass_8cpp.html index 2956f09c48f..d6ca8d5fc27 100644 --- a/_fuse_activation_function_pass_8cpp.html +++ b/_fuse_activation_function_pass_8cpp.html @@ -98,7 +98,7 @@

Go to the source code of this file.

diff --git a/_fuse_activation_function_pass_8cpp_source.html b/_fuse_activation_function_pass_8cpp_source.html index b3e120bdb4c..f45d38ba641 100644 --- a/_fuse_activation_function_pass_8cpp_source.html +++ b/_fuse_activation_function_pass_8cpp_source.html @@ -117,7 +117,7 @@
18
19#include <luci/IR/CircleNodes.h>
- +
23
24namespace luci
@@ -222,7 +222,7 @@
TRANSPOSE_CONV in Circle.
- +
std::set< Node * > succs(const Node *node)
Enumerate all the successors of a given node.
Definition Node.cpp:46
std::set< loco::Node * > active_nodes(const std::vector< loco::Node * > &roots)
Enumerate all the nodes required to compute "roots".
std::set< Node * > preds(const Node *node)
Enumerate all the predecessors of a given node.
Definition Node.cpp:31
diff --git a/_fused_8h.html b/_fused_8h.html index 82bd76328f9..5af6ad8cba4 100644 --- a/_fused_8h.html +++ b/_fused_8h.html @@ -96,7 +96,7 @@
Fused.h File Reference
-
#include "Dims.h"
+
#include "Dims.h"
#include <cstdint>

Go to the source code of this file.

@@ -299,10 +299,10 @@

81 }

82}
#define DCHECK_EQ(x, y)
Definition Macro.h:29
-
int sizes[N]
Definition Dims.h:27
-
int strides[N]
Definition Dims.h:28
+
int sizes[N]
Definition Dims.h:27
+
int strides[N]
Definition Dims.h:28
-

References DCHECK_EQ, Dims< N >::sizes, and Dims< N >::strides.

+

References DCHECK_EQ, Dims< N >::sizes, and Dims< N >::strides.

diff --git a/_fused_8h_source.html b/_fused_8h_source.html index 41b2c74fed7..bf58b83451b 100644 --- a/_fused_8h_source.html +++ b/_fused_8h_source.html @@ -117,7 +117,7 @@
18#ifndef __FUSED_H__
19#define __FUSED_H__
20
-
21#include "Dims.h"
+
21#include "Dims.h"
22
23#include <cstdint>
24
@@ -210,15 +210,15 @@
float ActivationFunction(float x)
Definition Fused.h:62
#define DCHECK_EQ(x, y)
Definition Macro.h:29
- + -
Definition Dims.h:26
-
int sizes[N]
Definition Dims.h:27
-
int strides[N]
Definition Dims.h:28
+
Definition Dims.h:26
+
int sizes[N]
Definition Dims.h:27
+
int strides[N]
Definition Dims.h:28
diff --git a/_generate_kernels_list_helper_8cpp_source.html b/_generate_kernels_list_helper_8cpp_source.html index 87b746e4273..9cb13fca355 100644 --- a/_generate_kernels_list_helper_8cpp_source.html +++ b/_generate_kernels_list_helper_8cpp_source.html @@ -328,7 +328,7 @@
224
-
225int main(int argc, char **argv)
+
225int main(int argc, char **argv)
226{
227 if (argc != 3)
228 {
@@ -369,7 +369,7 @@
bool parse(const circle::Model *model)
uint32_t num_subgraph() const
-
int main()
Definition main.cpp:58
+
int main()
Definition main.cpp:58
diff --git a/_h_e_scheduler_8h_source.html b/_h_e_scheduler_8h_source.html index f909d121f78..543b059578d 100644 --- a/_h_e_scheduler_8h_source.html +++ b/_h_e_scheduler_8h_source.html @@ -145,11 +145,11 @@
58 _is_profiling_mode{options.he_profiling_mode}, _is_linear_exec{options.executor == "Linear"},
59 _is_parallel_exec{options.executor == "Parallel"}
60 {
-
61 for (auto &&entry : backends)
+
61 for (auto &&entry : backends)
62 {
-
63 if (entry->config()->id() == backend::builtin::Config::ID)
+
63 if (entry->config()->id() == backend::builtin::Config::ID)
64 continue;
-
65 _all_backends.push_back(entry);
+
65 _all_backends.push_back(entry);
66 }
67 _backend_resolver = std::make_unique<compiler::BackendResolver>();
68 _exec_time = std::make_unique<exec::ExecTime>(_all_backends);
@@ -239,7 +239,7 @@
std::unique_ptr< compiler::BackendResolver > schedule(const ir::Graph &graph) final
Task scheduling.
-
int entry(const int argc, char **argv)
Definition Driver.cpp:53
+
int entry(const int argc, char **argv)
Definition Driver.cpp:53
std::unordered_map< OperationIndex, T > OperationIndexMap
diff --git a/_input_data_loader_8cpp_source.html b/_input_data_loader_8cpp_source.html index 8d043d3d107..b6bd3697434 100644 --- a/_input_data_loader_8cpp_source.html +++ b/_input_data_loader_8cpp_source.html @@ -274,15 +274,15 @@
164 throw std::runtime_error("Cannot open directory \"" + dir_path + "\".");
165 }
166
-
167 struct dirent *entry = nullptr;
+
167 struct dirent *entry = nullptr;
168 const auto input_total_bytes = getTotalByteSizeOf(input_nodes);
-
169 while ((entry = readdir(dir)))
+
169 while ((entry = readdir(dir)))
170 {
171 // Skip if the entry is not a regular file
-
172 if (entry->d_type != DT_REG)
+
172 if (entry->d_type != DT_REG)
173 continue;
174
-
175 _data_paths.push_back(dir_path + "/" + entry->d_name);
+
175 _data_paths.push_back(dir_path + "/" + entry->d_name);
176 }
177
178 closedir(dir);
@@ -363,7 +363,7 @@
CircleNode used for Input of the Graph.
Definition CircleInput.h:36
void index(const loco::GraphInputIndex &index)
-
int entry(const int argc, char **argv)
Definition Driver.cpp:53
+
int entry(const int argc, char **argv)
Definition Driver.cpp:53
diff --git a/_lifetime_map_8cc_source.html b/_lifetime_map_8cc_source.html index b77027c835a..b9af4eec6a2 100644 --- a/_lifetime_map_8cc_source.html +++ b/_lifetime_map_8cc_source.html @@ -155,10 +155,10 @@
55 LifetimeMap lifetime_map;
56 for (size_t i = 0; i < lifetime_seq.size(); i++)
57 {
-
58 auto &entry = lifetime_seq[i];
-
59 if (entry.first != UsesType::FIRST)
+
58 auto &entry = lifetime_seq[i];
+
59 if (entry.first != UsesType::FIRST)
60 continue;
-
61 auto root_ind = find_root(entry.second);
+
61 auto root_ind = find_root(entry.second);
62 if (first_use_check[root_ind])
63 continue;
64 first_use_check[root_ind] = true;
@@ -167,10 +167,10 @@
67
68 for (int i = lifetime_seq.size() - 1; i >= 0; i--)
69 {
-
70 auto &entry = lifetime_seq[i];
-
71 if (entry.first != UsesType::LAST)
+
70 auto &entry = lifetime_seq[i];
+
71 if (entry.first != UsesType::LAST)
72 continue;
-
73 auto root_ind = find_root(entry.second);
+
73 auto root_ind = find_root(entry.second);
74 if (last_use_check[root_ind])
75 continue;
76 last_use_check[root_ind] = true;
@@ -187,7 +187,7 @@
bool valid() const
Check whether the value is valid or not.
Definition Index.h:127
-
int entry(const int argc, char **argv)
Definition Driver.cpp:53
+
int entry(const int argc, char **argv)
Definition Driver.cpp:53
LifetimeMap createLifetimeMap(LifetimeSeq &seq, ir::OperandIndexMap< ParentInfo > &parent_map)
diff --git a/_loss_insertion_pass_8cc_source.html b/_loss_insertion_pass_8cc_source.html index 91f794e8cb1..f8ad8a4c171 100644 --- a/_loss_insertion_pass_8cc_source.html +++ b/_loss_insertion_pass_8cc_source.html @@ -195,11 +195,11 @@
const OperandIndexSequence & getOutputs() const override
-
OperationIndex addOperation(std::unique_ptr< ITrainableOperation > &&operation)
Add a new trainable operation to the graph.
-
OperandIndex addOperand(const Shape &shape, const TypeInfo &type)
+
OperationIndex addOperation(std::unique_ptr< ITrainableOperation > &&operation)
Add a new trainable operation to the graph.
+
OperandIndex addOperand(const Shape &shape, const TypeInfo &type)
const Operands & operands() const override
-
void addLoss(const OperandIndex &loss_ind, const IOIndex &pred_io_ind)
-
void addInput(const OperandIndex &ind, const std::string &name="")
+
void addLoss(const OperandIndex &loss_ind, const IOIndex &pred_io_ind)
+
void addInput(const OperandIndex &ind, const std::string &name="")
const LossInfo & lossInfo() const
A wrapper class for unsigned integral Index NOTE : Max value of the underlying type is used as the in...
Definition Index.h:39
const Object & at(const Index &index) const
Get the object that is associated with the given index.
diff --git a/_matrix_8h.html b/_matrix_8h.html index 34a9f2c74b8..4b673358936 100644 --- a/_matrix_8h.html +++ b/_matrix_8h.html @@ -95,7 +95,7 @@
Matrix.h File Reference
-
#include "Dims.h"
+
#include "Dims.h"
#include "Eigen/Core"

Go to the source code of this file.

@@ -225,9 +225,9 @@

102 return ArrayMap<Scalar>(data, rows, cols);

103}
typename std::conditional< std::is_const< Scalar >::value, Eigen::Map< const Eigen::Array< typename std::remove_const< Scalar >::type, Eigen::Dynamic, Eigen::Dynamic > >, Eigen::Map< Eigen::Array< Scalar, Eigen::Dynamic, Eigen::Dynamic > > >::type ArrayMap
Definition Matrix.h:90
-
int sizes[N]
Definition Dims.h:27
+
int sizes[N]
Definition Dims.h:27
-

References Dims< N >::sizes.

+

References Dims< N >::sizes.

@@ -271,7 +271,7 @@

69}
typename std::conditional< std::is_const< Scalar >::value, Eigen::Map< const Eigen::Matrix< typename std::remove_const< Scalar >::type, Eigen::Dynamic, Eigen::Dynamic > >, Eigen::Map< Eigen::Matrix< Scalar, Eigen::Dynamic, Eigen::Dynamic > > >::type MatrixMap
Definition Matrix.h:56
-

References Dims< N >::sizes.

+

References Dims< N >::sizes.

Referenced by AveragePool(), Conv(), FullyConnected(), MaxPool(), and Softmax().

@@ -329,7 +329,7 @@

125}
#define DCHECK(condition)
Definition Macro.h:25
-

References DCHECK, and Dims< N >::sizes.

+

References DCHECK, and Dims< N >::sizes.

Referenced by FullyConnected().

@@ -374,7 +374,7 @@

81 return MatrixMap<Scalar>(data, rows, cols);
82}
-

References Dims< N >::sizes.

+

References Dims< N >::sizes.

Referenced by Conv().

@@ -410,14 +410,14 @@

Definition at line 40 of file Matrix.h.

41{
-
42 const int size = RequiredBufferSizeForDims(dims);
+
42 const int size = RequiredBufferSizeForDims(dims);
43 return VectorMap<Scalar>(data, size, 1);
44}
typename std::conditional< std::is_const< Scalar >::value, Eigen::Map< const Eigen::Matrix< typename std::remove_const< Scalar >::type, Eigen::Dynamic, 1 > >, Eigen::Map< Eigen::Matrix< Scalar, Eigen::Dynamic, 1 > > >::type VectorMap
Definition Matrix.h:38
-
int RequiredBufferSizeForDims(const Dims< 4 > &dims)
Definition Dims.h:94
+
int RequiredBufferSizeForDims(const Dims< 4 > &dims)
Definition Dims.h:94
int32_t size[5]
Definition Slice.cpp:35
-

References RequiredBufferSizeForDims(), and size.

+

References RequiredBufferSizeForDims(), and size.

diff --git a/_matrix_8h_source.html b/_matrix_8h_source.html index fe44da93f9c..a4a2dcc9f9e 100644 --- a/_matrix_8h_source.html +++ b/_matrix_8h_source.html @@ -118,7 +118,7 @@
19#ifndef __MATRIX_H__
20#define __MATRIX_H__
21
-
22#include "Dims.h"
+
22#include "Dims.h"
23#include "Eigen/Core"
24
25// From optimized_ops.h in TensorFlow Lite
@@ -139,7 +139,7 @@
40template <typename Scalar, int N> VectorMap<Scalar> MapAsVector(Scalar *data, const Dims<N> &dims)
41{
-
42 const int size = RequiredBufferSizeForDims(dims);
+
42 const int size = RequiredBufferSizeForDims(dims);
43 return VectorMap<Scalar>(data, size, 1);
44}
@@ -242,12 +242,12 @@
MatrixMap< Scalar > MapAsMatrixWithGivenNumberOfRows(Scalar *data, const Dims< N > &dims, int rows)
Definition Matrix.h:110
ArrayMap< Scalar > MapAsArrayWithFirstDimAsRows(Scalar *data, const Dims< N > &dims)
Definition Matrix.h:94
typename std::conditional< std::is_const< Scalar >::value, Eigen::Map< const Eigen::Matrix< typename std::remove_const< Scalar >::type, Eigen::Dynamic, Eigen::Dynamic > >, Eigen::Map< Eigen::Matrix< Scalar, Eigen::Dynamic, Eigen::Dynamic > > >::type MatrixMap
Definition Matrix.h:56
-
int RequiredBufferSizeForDims(const Dims< 4 > &dims)
Definition Dims.h:94
#define DCHECK(condition)
Definition Macro.h:25
+
int RequiredBufferSizeForDims(const Dims< 4 > &dims)
Definition Dims.h:94
int32_t size[5]
Definition Slice.cpp:35
- -
Definition Dims.h:26
-
int sizes[N]
Definition Dims.h:27
+ +
Definition Dims.h:26
+
int sizes[N]
Definition Dims.h:27
diff --git a/_max_pool2_d_8float_8cpp.html b/_max_pool2_d_8float_8cpp.html index e4d9fdc7e73..b68bd090151 100644 --- a/_max_pool2_d_8float_8cpp.html +++ b/_max_pool2_d_8float_8cpp.html @@ -136,9 +136,9 @@

Value:
MaxPool<FusedActivationFunctionType::activation>( \
-
inputData, convertShapeToDims(inputShape), stride_width, stride_height, paddingWidth, \
-
paddingHeight, filter_width, filter_height, outputData, convertShapeToDims(outputShape))
-
Dims< 4 > convertShapeToDims(const Shape &shape)
Definition Dims.h:31
+
inputData, convertShapeToDims(inputShape), stride_width, stride_height, paddingWidth, \
+
paddingHeight, filter_width, filter_height, outputData, convertShapeToDims(outputShape))
+
Dims< 4 > convertShapeToDims(const Shape &shape)
Definition Dims.h:31
@@ -265,10 +265,10 @@

Definition at line 29 of file MaxPool2D.float.cpp.

32{
33 const int batches = MatchingArraySize(input_dims, 3, output_dims, 3);
-
34 const int input_height = ArraySize(input_dims, 2);
-
35 const int input_width = ArraySize(input_dims, 1);
-
36 const int output_height = ArraySize(output_dims, 2);
-
37 const int output_width = ArraySize(output_dims, 1);
+
34 const int input_height = ArraySize(input_dims, 2);
+
35 const int input_width = ArraySize(input_dims, 1);
+
36 const int output_height = ArraySize(output_dims, 2);
+
37 const int output_width = ArraySize(output_dims, 1);
38 const int depth = MatchingArraySize(input_dims, 0, output_dims, 0);
39
40 const auto in_mat = MapAsMatrixWithFirstDimAsRows(input_data, input_dims);
@@ -312,8 +312,8 @@

78 {

79 for (int c = 0; c < depth; ++c)
80 {
-
81 output_data[Offset(output_dims, c, x, y, b)] =
-
82 ActivationFunction<Ac>(output_data[Offset(output_dims, c, x, y, b)]);
+
81 output_data[Offset(output_dims, c, x, y, b)] =
+
82 ActivationFunction<Ac>(output_data[Offset(output_dims, c, x, y, b)]);
83 }
84 }
85 }
@@ -321,15 +321,15 @@

87}
int NodeOffset(int b, int h, int w, int height, int width)
Definition FeatureMap.h:21
MatrixMap< Scalar > MapAsMatrixWithFirstDimAsRows(Scalar *data, const Dims< N > &dims)
Definition Matrix.h:60
-
int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
Definition Dims.h:64
-
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
+
int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
Definition Dims.h:64
+
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
int MatchingArraySize(const ArrayType1 &array1, int index1, const ArrayType2 &array2, int index2)
Definition Array.h:31
-

References ArraySize(), MapAsMatrixWithFirstDimAsRows(), MatchingArraySize(), NodeOffset(), and Offset().

+

References ArraySize(), MapAsMatrixWithFirstDimAsRows(), MatchingArraySize(), NodeOffset(), and Offset().

Referenced by mir_onnx::registerSupportedOps().

diff --git a/_max_pool2_d_8float_8cpp_source.html b/_max_pool2_d_8float_8cpp_source.html index f6171a5e0d4..a38e72d2d82 100644 --- a/_max_pool2_d_8float_8cpp_source.html +++ b/_max_pool2_d_8float_8cpp_source.html @@ -131,10 +131,10 @@
31 float *output_data, const Dims<4> &output_dims)
32{
33 const int batches = MatchingArraySize(input_dims, 3, output_dims, 3);
-
34 const int input_height = ArraySize(input_dims, 2);
-
35 const int input_width = ArraySize(input_dims, 1);
-
36 const int output_height = ArraySize(output_dims, 2);
-
37 const int output_width = ArraySize(output_dims, 1);
+
34 const int input_height = ArraySize(input_dims, 2);
+
35 const int input_width = ArraySize(input_dims, 1);
+
36 const int output_height = ArraySize(output_dims, 2);
+
37 const int output_width = ArraySize(output_dims, 1);
38 const int depth = MatchingArraySize(input_dims, 0, output_dims, 0);
39
40 const auto in_mat = MapAsMatrixWithFirstDimAsRows(input_data, input_dims);
@@ -178,8 +178,8 @@
78 {
79 for (int c = 0; c < depth; ++c)
80 {
-
81 output_data[Offset(output_dims, c, x, y, b)] =
-
82 ActivationFunction<Ac>(output_data[Offset(output_dims, c, x, y, b)]);
+
81 output_data[Offset(output_dims, c, x, y, b)] =
+
82 ActivationFunction<Ac>(output_data[Offset(output_dims, c, x, y, b)]);
83 }
84 }
85 }
@@ -233,11 +233,11 @@
#define ANDROID_NN_MAX_POOL(activation)
void MaxPool(const float *input_data, const Dims< 4 > &input_dims, int stride_width, int stride_height, int pad_width, int pad_height, int kwidth, int kheight, float *output_data, const Dims< 4 > &output_dims)
-
int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
Definition Dims.h:64
-
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
+
int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
Definition Dims.h:64
+
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
int MatchingArraySize(const ArrayType1 &array1, int index1, const ArrayType2 &array2, int index2)
Definition Array.h:31
-
Definition Dims.h:26
+
Definition Dims.h:26
Definition Shape.h:28
diff --git a/_metadata_printer_8cpp_source.html b/_metadata_printer_8cpp_source.html index 62c9d689b64..6f03f570ba8 100644 --- a/_metadata_printer_8cpp_source.html +++ b/_metadata_printer_8cpp_source.html @@ -136,7 +136,7 @@
40 // entry number
41 const uint32_t num = *reinterpret_cast<const uint32_t *>(cur);
42 cur += sizeof(uint32_t);
-
43 for (uint32_t entry = 0; entry < num; entry++)
+
43 for (uint32_t entry = 0; entry < num; entry++)
44 {
45 // id
46 const uint32_t node_id = *reinterpret_cast<const uint32_t *>(cur);
@@ -173,7 +173,7 @@
78 // entry number
79 const uint32_t num = *reinterpret_cast<const uint32_t *>(cur);
80 cur += sizeof(uint32_t);
-
81 for (uint32_t entry = 0; entry < num; entry++)
+
81 for (uint32_t entry = 0; entry < num; entry++)
82 {
83 // id
84 const uint32_t node_id = *reinterpret_cast<const uint32_t *>(cur);
@@ -223,7 +223,7 @@
virtual void print(const uint8_t *buffer, std::ostream &os) const override
virtual void print(const uint8_t *buffer, std::ostream &os) const override
-
int entry(const int argc, char **argv)
Definition Driver.cpp:53
+
int entry(const int argc, char **argv)
Definition Driver.cpp:53
diff --git a/_min_max_observer_8cpp.html b/_min_max_observer_8cpp.html index 767fc28708c..530a0be9f14 100644 --- a/_min_max_observer_8cpp.html +++ b/_min_max_observer_8cpp.html @@ -96,7 +96,7 @@
#include "MinMaxObserver.h"
-#include <luci/IR/CircleOpcode.h>
+#include <luci/IR/CircleOpcode.h>
#include <limits>
#include <math.h>
diff --git a/_min_max_observer_8cpp_source.html b/_min_max_observer_8cpp_source.html index cd93e463810..dd14134bb14 100644 --- a/_min_max_observer_8cpp_source.html +++ b/_min_max_observer_8cpp_source.html @@ -115,7 +115,7 @@
16
17#include "MinMaxObserver.h"
18
- +
20
21#include <limits>
22#include <math.h>
@@ -219,7 +219,7 @@
void recordMinMax(const luci::CircleNode *node, float min, float max)
void postTensorWrite(const luci::CircleNode *node, const luci_interpreter::Tensor *tensor) override
- +
DataType
"scalar" value type
Definition DataType.h:27
DataType
"scalar" value type
Definition DataType.h:32
diff --git a/_mir_interpreter_8cpp_source.html b/_mir_interpreter_8cpp_source.html index 16e3274f988..fdc7ce72a24 100644 --- a/_mir_interpreter_8cpp_source.html +++ b/_mir_interpreter_8cpp_source.html @@ -694,7 +694,7 @@
void Sigmoid(const mir::TensorVariant &arg, mir::TensorVariant &result)
Definition Sigmoid.cpp:53
void ReduceMean(const mir::TensorVariant &input, const mir::ops::ReduceMeanOp &op, mir::TensorVariant &output)
void Transpose(const mir::TensorVariant &input, const mir::ops::TransposeOp &op, mir::TensorVariant &output)
Definition Transpose.cpp:58
-
void LeakyReLU(const mir::TensorVariant &arg, float alpha, mir::TensorVariant &result)
Definition LeakyReLU.cpp:44
+
void LeakyReLU(const mir::TensorVariant &arg, float alpha, mir::TensorVariant &result)
Definition LeakyReLU.cpp:44
void HardSwish(const mir::TensorVariant &input, mir::TensorVariant &result)
Definition HardSwish.cpp:49
void DeConv2D(const TensorVariant &input, const TensorVariant &kernel, const Deconv2DOpAttributes &attributes, TensorVariant &output)
Transposed convolution (or Deconvolution)
Definition DeConv2D.cpp:116
void ReLU(const mir::TensorVariant &arg, mir::TensorVariant &result)
Definition ReLU.cpp:53
diff --git a/_model_argument_info_8cpp.html b/_model_argument_info_8cpp.html index d5b81f15bce..cb4ed850afd 100644 --- a/_model_argument_info_8cpp.html +++ b/_model_argument_info_8cpp.html @@ -95,7 +95,7 @@
#include "ModelArgumentInfo.h"
#include "NeuralNetworks.h"
#include "Logging.h"
-#include "Assert.h"
+#include "Assert.h"

Go to the source code of this file.

diff --git a/_model_argument_info_8cpp_source.html b/_model_argument_info_8cpp_source.html index f54c8d5415e..ace60787431 100644 --- a/_model_argument_info_8cpp_source.html +++ b/_model_argument_info_8cpp_source.html @@ -117,7 +117,7 @@
18#include "ModelArgumentInfo.h"
19#include "NeuralNetworks.h" // For ANEURALNETWORKS_XXX
20#include "Logging.h"
-
21#include "Assert.h"
+
21#include "Assert.h"
22
23// TODO-NNRT: Consider removing ModelArgumentInfo completely if it's not necessary
@@ -185,7 +185,7 @@
82 const ANeuralNetworksOperandType *newType)
83{
-
84 ASSERT(dimensions.empty());
+
84 ASSERT(dimensions.empty());
85 if (newType == nullptr)
86 {
87 for (auto i : operand.dimensions)
@@ -226,16 +226,16 @@
OperandType
Definition OperandType.h:24
+
#define ASSERT(v)
Definition Assert.h:24
#define LOG(...)
Definition Logging.h:36
uint32_t sizeOfData(const Operand &operand)
Definition Operand.h:56
-
#define ASSERT(v)
Definition Assert.h:24
@ ANEURALNETWORKS_BAD_DATA
@ ANEURALNETWORKS_NO_ERROR
__global uchar * offset(const Image *img, int x, int y)
Definition helpers.h:540
-
This file contains helper function of assertion.
+
This file contains helper function of assertion.
uint32_t poolIndex
Definition Operand.h:36
diff --git a/_model_builder_8cpp.html b/_model_builder_8cpp.html index 6c9f29ff569..8443b3c4da1 100644 --- a/_model_builder_8cpp.html +++ b/_model_builder_8cpp.html @@ -99,7 +99,7 @@ #include "CompilationBuilder.h"
#include "Validation.h"
#include "Logging.h"
-#include "Assert.h"
+#include "Assert.h"
#include <string.h>
#include <map>
diff --git a/_model_builder_8cpp_source.html b/_model_builder_8cpp_source.html index d53bba4dfe8..e553933bf89 100644 --- a/_model_builder_8cpp_source.html +++ b/_model_builder_8cpp_source.html @@ -119,7 +119,7 @@
20#include "CompilationBuilder.h"
21#include "Validation.h"
22#include "Logging.h"
-
23#include "Assert.h"
+
23#include "Assert.h"
24
25#include <string.h>
26#include <map>
@@ -354,12 +354,12 @@
247 }
248 mOperations.resize(operationIndex + 1);
-
249 auto &entry = mOperations[operationIndex];
-
250 entry.type = type;
+
249 auto &entry = mOperations[operationIndex];
+
250 entry.type = type;
251
-
252 setFromIntList(&entry.inputs, inputCount, inputs);
-
253 setFromIntList(&entry.outputs, outputCount, outputs);
-
254 for (uint32_t i : entry.inputs)
+
252 setFromIntList(&entry.inputs, inputCount, inputs);
+
253 setFromIntList(&entry.outputs, outputCount, outputs);
+
254 for (uint32_t i : entry.inputs)
255 {
256 mOperands[i].numberOfConsumers++;
257 // TODO mOperands[i].consumers.push_back(operationIndex);
@@ -567,7 +567,7 @@
450 for (LargeValue &l : mLargeOperandValues)
451 {
452 Operand &operand = mOperands[l.operandIndex];
- +
454 poolSize += alignBytesNeeded(poolSize, operand.location.length);
455 operand.location.offset = poolSize;
456 poolSize += operand.location.length;
@@ -627,6 +627,7 @@
uint32_t outputCount() const
virtual int create(uint32_t size)
Definition Memory.cpp:85
virtual int getPointer(uint8_t **buffer) const
Definition Memory.cpp:96
+
#define ASSERT(v)
Definition Assert.h:24
#define LOG(...)
Definition Logging.h:36
#define VLOG(...)
Definition Logging.h:37
OperandLifeTime
Definition Operand.h:26
@@ -637,8 +638,7 @@
uint32_t sizeOfData(const Operand &operand)
Definition Operand.h:56
-
#define ASSERT(v)
Definition Assert.h:24
-
int entry(const int argc, char **argv)
Definition Driver.cpp:53
+
int entry(const int argc, char **argv)
Definition Driver.cpp:53
@ ANEURALNETWORKS_BAD_DATA
@ ANEURALNETWORKS_NO_ERROR
@ ANEURALNETWORKS_OUT_OF_MEMORY
@@ -648,7 +648,7 @@ -
This file contains helper function of assertion.
+
This file contains helper function of assertion.
uint32_t poolIndex
Definition Operand.h:36
diff --git a/_model_loader_8cc.html b/_model_loader_8cc.html new file mode 100644 index 00000000000..f8219ef03d1 --- /dev/null +++ b/_model_loader_8cc.html @@ -0,0 +1,127 @@ + + + + + + + +ONE - On-device Neural Engine: runtime/onert/core/src/loader/ModelLoader.cc File Reference + + + + + + + + + + + + + +
+
+

+ + + + + +
+
ONE - On-device Neural Engine +
+
+ + + + + + + + + +
+ +
+
+
+ +
+ +
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+ + +
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ModelLoader.cc File Reference
+
+
+
#include "loader/ModelLoader.h"
+#include "loader/ILoader.h"
+#include <dlfcn.h>
+
+

Go to the source code of this file.

+ + + + + + +

+Namespaces

namespace  onert
 
namespace  onert::loader
 
+ + + + +

+Functions

std::unique_ptr< ir::Modelonert::loader::loadModel (const std::string &filename, const std::string &type)
 Create custom loader and load model from file.
 
+
+
+ + + + diff --git a/_model_loader_8cc.js b/_model_loader_8cc.js new file mode 100644 index 00000000000..6db1579c08e --- /dev/null +++ b/_model_loader_8cc.js @@ -0,0 +1,4 @@ +var _model_loader_8cc = +[ + [ "loadModel", "_model_loader_8cc.html#aa3e212d74367c0eed3cbe983e1fe7421", null ] +]; \ No newline at end of file diff --git a/_model_loader_8cc_source.html b/_model_loader_8cc_source.html new file mode 100644 index 00000000000..64818848210 --- /dev/null +++ b/_model_loader_8cc_source.html @@ -0,0 +1,202 @@ + + + + + + + +ONE - On-device Neural Engine: runtime/onert/core/src/loader/ModelLoader.cc Source File + + + + + + + + + + + + + +
+
+ + + + + + +
+
ONE - On-device Neural Engine +
+
+
+ + + + + + + + +
+
+ +
+
+
+ +
+ +
+
+ + +
+
+
+
+
+
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+
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+
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+
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+
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+ +
+
ModelLoader.cc
+
+
+Go to the documentation of this file.
1/*
+
2 * Copyright (c) 2024 Samsung Electronics Co., Ltd. All Rights Reserved
+
3 *
+
4 * Licensed under the Apache License, Version 2.0 (the "License");
+
5 * you may not use this file except in compliance with the License.
+
6 * You may obtain a copy of the License at
+
7 *
+
8 * http://www.apache.org/licenses/LICENSE-2.0
+
9 *
+
10 * Unless required by applicable law or agreed to in writing, software
+
11 * distributed under the License is distributed on an "AS IS" BASIS,
+
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+
13 * See the License for the specific language governing permissions and
+
14 * limitations under the License.
+
15 */
+
16
+
17#include "loader/ModelLoader.h"
+
18
+
19#include "loader/ILoader.h"
+
20
+
21#include <dlfcn.h>
+
22
+
23namespace onert
+
24{
+
25namespace loader
+
26{
+
27
+
+
28std::unique_ptr<ir::Model> loadModel(const std::string &filename, const std::string &type)
+
29{
+
30 // Custom loader library name should be lib<type>_loader.so
+
31 std::string libname = "lib" + type + "_loader.so";
+
32
+
33 // Open custom loader library
+
34 void *handle = dlopen(libname.c_str(), RTLD_LAZY);
+
35 if (!handle)
+
36 throw std::runtime_error("Failed to open " + type + " loader");
+
37
+
38 // Get custom loader create function
+
39 using create_func_t = ILoader *(*)();
+
40 auto create_fn = reinterpret_cast<create_func_t>(dlsym(handle, "onert_loader_create"));
+
41 if (!create_fn)
+
42 {
+
43 dlclose(handle);
+
44 throw std::runtime_error("Failed to find loader create function");
+
45 }
+
46
+
47 // Get custom loader destroy function
+
48 using destroy_func_t = void (*)(ILoader *);
+
49 auto destroy_fn = reinterpret_cast<destroy_func_t>(dlsym(handle, "onert_loader_destroy"));
+
50 if (!destroy_fn)
+
51 {
+
52 dlclose(handle);
+
53 throw std::runtime_error("Failed to find loader destroy function");
+
54 }
+
55
+
56 // Create custom loader
+
57 auto loader = create_fn();
+
58 if (!loader)
+
59 {
+
60 dlclose(handle);
+
61 throw std::runtime_error("Failed to find loader create function");
+
62 }
+
63
+
64 // Load model
+
65 auto model = loader->loadFromFile(filename);
+
66
+
67 // Destroy custom loader
+
68 destroy_fn(loader);
+
69
+
70 // Close custom loader library
+
71 //
+
72 // NOTE:
+
73 // It assumes that custom loader will not be used frequently on runtime session.
+
74 // If custom loader is used frequently, it should not close custom loader library and
+
75 // save handler to reuse it.
+
76 dlclose(handle);
+
77
+
78 if (model)
+
79 return model;
+
80
+
81 throw std::runtime_error("Failed to load model " + filename);
+
82}
+
+
83
+
84} // namespace loader
+
85} // namespace onert
+ + + +
std::unique_ptr< ir::Model > loadModel(const std::string &filename, const std::string &type)
Create custom loader and load model from file.
+ +
+
+ + + + diff --git a/_model_loader_8h.html b/_model_loader_8h.html new file mode 100644 index 00000000000..dd3a4a0726b --- /dev/null +++ b/_model_loader_8h.html @@ -0,0 +1,126 @@ + + + + + + + +ONE - On-device Neural Engine: runtime/onert/core/include/loader/ModelLoader.h File Reference + + + + + + + + + + + + + +
+
+ + + + + + +
+
ONE - On-device Neural Engine +
+
+
+ + + + + + + +
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+ +
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+
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+
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+ +
+ +
ModelLoader.h File Reference
+
+
+
#include "ir/Model.h"
+#include <memory>
+
+

Go to the source code of this file.

+ + + + + + +

+Namespaces

namespace  onert
 
namespace  onert::loader
 
+ + + + +

+Functions

std::unique_ptr< ir::Modelonert::loader::loadModel (const std::string &filename, const std::string &type)
 Create custom loader and load model from file.
 
+
+
+ + + + diff --git a/_model_loader_8h.js b/_model_loader_8h.js new file mode 100644 index 00000000000..08687215ece --- /dev/null +++ b/_model_loader_8h.js @@ -0,0 +1,4 @@ +var _model_loader_8h = +[ + [ "loadModel", "_model_loader_8h.html#aa3e212d74367c0eed3cbe983e1fe7421", null ] +]; \ No newline at end of file diff --git a/_model_loader_8h_source.html b/_model_loader_8h_source.html new file mode 100644 index 00000000000..c2f90d0109a --- /dev/null +++ b/_model_loader_8h_source.html @@ -0,0 +1,147 @@ + + + + + + + +ONE - On-device Neural Engine: runtime/onert/core/include/loader/ModelLoader.h Source File + + + + + + + + + + + + + +
+
+ + + + + + +
+
ONE - On-device Neural Engine +
+
+
+ + + + + + + + +
+
+ +
+
+
+ +
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+
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+
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+
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ModelLoader.h
+
+
+Go to the documentation of this file.
1/*
+
2 * Copyright (c) 2024 Samsung Electronics Co., Ltd. All Rights Reserved
+
3 *
+
4 * Licensed under the Apache License, Version 2.0 (the "License");
+
5 * you may not use this file except in compliance with the License.
+
6 * You may obtain a copy of the License at
+
7 *
+
8 * http://www.apache.org/licenses/LICENSE-2.0
+
9 *
+
10 * Unless required by applicable law or agreed to in writing, software
+
11 * distributed under the License is distributed on an "AS IS" BASIS,
+
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+
13 * See the License for the specific language governing permissions and
+
14 * limitations under the License.
+
15 */
+
16
+
17#ifndef __ONERT_LOADER_MODEL_LOADER_H__
+
18#define __ONERT_LOADER_MODEL_LOADER_H__
+
19
+
20#include "ir/Model.h"
+
21
+
22#include <memory>
+
23
+
24namespace onert
+
25{
+
26namespace loader
+
27{
+
28
+
37std::unique_ptr<ir::Model> loadModel(const std::string &filename, const std::string &type);
+
38
+
39} // namespace loader
+
40} // namespace onert
+
41
+
42#endif // __ONERT_LOADER_MODEL_LOADER_H__
+
std::unique_ptr< ir::Model > loadModel(const std::string &filename, const std::string &type)
Create custom loader and load model from file.
+ + +
+
+ + + + diff --git a/_mul_8float_8cpp.html b/_mul_8float_8cpp.html index fefcb0e063a..56cc7da9d05 100644 --- a/_mul_8float_8cpp.html +++ b/_mul_8float_8cpp.html @@ -139,9 +139,9 @@

Value:
BroadcastMul<FusedActivationFunctionType::activation>( \
-
in1, convertShapeToDims(shape1), in2, convertShapeToDims(shape2), out, \
-
convertShapeToDims(shapeOut))
-
Dims< 4 > convertShapeToDims(const Shape &shape)
Definition Dims.h:31
+
in1, convertShapeToDims(shape1), in2, convertShapeToDims(shape2), out, \
+
convertShapeToDims(shapeOut))
+
Dims< 4 > convertShapeToDims(const Shape &shape)
Definition Dims.h:31
@@ -160,9 +160,9 @@

-Value:
-
in2, convertShapeToDims(shape2), \
-
out, convertShapeToDims(shapeOut))
+Value:
Mul<FusedActivationFunctionType::activation>(in1, convertShapeToDims(shape1), \
+
in2, convertShapeToDims(shape2), \
+
out, convertShapeToDims(shapeOut))
@@ -236,15 +236,15 @@

75 // We name our variables by their Tensorflow convention, but generate C code
76 // nesting loops such that the innermost loop has the smallest stride for the
77 // best cache behavior.
-
78 for (int b = 0; b < ArraySize(output_dims, 3); ++b)
+
78 for (int b = 0; b < ArraySize(output_dims, 3); ++b)
79 {
-
80 for (int y = 0; y < ArraySize(output_dims, 2); ++y)
+
80 for (int y = 0; y < ArraySize(output_dims, 2); ++y)
81 {
-
82 for (int x = 0; x < ArraySize(output_dims, 1); ++x)
+
82 for (int x = 0; x < ArraySize(output_dims, 1); ++x)
83 {
-
84 for (int c = 0; c < ArraySize(output_dims, 0); ++c)
+
84 for (int c = 0; c < ArraySize(output_dims, 0); ++c)
85 {
-
86 output_data[Offset(output_dims, c, x, y, b)] =
+
86 output_data[Offset(output_dims, c, x, y, b)] =
87 ActivationFunction<Ac>(input1_data[SubscriptToIndex(desc1, c, x, y, b)] *
88 input2_data[SubscriptToIndex(desc2, c, x, y, b)]);
89 }
@@ -256,13 +256,13 @@

int SubscriptToIndex(const NdArrayDesc< 4 > &desc, int i0, int i1, int i2, int i3)
Definition NDArray.h:54
NdArrayDesc< 4 > desc1
NdArrayDesc< 4 > desc2
-
int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
Definition Dims.h:64
-
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
+
int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
Definition Dims.h:64
+
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
-

References ArraySize(), desc1, desc2, NdArrayDescsForElementwiseBroadcast(), Offset(), and SubscriptToIndex().

+

References ArraySize(), desc1, desc2, NdArrayDescsForElementwiseBroadcast(), Offset(), and SubscriptToIndex().

@@ -324,9 +324,9 @@

32 MatchingArraySize(input1_dims, 2, input2_dims, 2, output_dims, 2);
33 MatchingArraySize(input1_dims, 1, input2_dims, 1, output_dims, 1);
34 MatchingArraySize(input1_dims, 0, input2_dims, 0, output_dims, 0);
-
35 DCHECK(IsPackedWithoutStrides(input1_dims));
-
36 DCHECK(IsPackedWithoutStrides(input2_dims));
-
37 DCHECK(IsPackedWithoutStrides(output_dims));
+
35 DCHECK(IsPackedWithoutStrides(input1_dims));
+
36 DCHECK(IsPackedWithoutStrides(input2_dims));
+
37 DCHECK(IsPackedWithoutStrides(output_dims));
38
39 int i = 0;
40 const int size = input1_dims.sizes[3] * input1_dims.strides[3];
@@ -337,16 +337,16 @@

45 output_data[i] = ActivationFunction<Ac>(x);
46 }
47}
-
bool IsPackedWithoutStrides(const Dims< N > &dims)
Definition Dims.h:155
#define DCHECK(condition)
Definition Macro.h:25
+
bool IsPackedWithoutStrides(const Dims< N > &dims)
Definition Dims.h:155
int MatchingArraySize(const ArrayType1 &array1, int index1, const ArrayType2 &array2, int index2)
Definition Array.h:31
int32_t size[5]
Definition Slice.cpp:35
-
int sizes[N]
Definition Dims.h:27
-
int strides[N]
Definition Dims.h:28
+
int sizes[N]
Definition Dims.h:27
+
int strides[N]
Definition Dims.h:28
-

References DCHECK, IsPackedWithoutStrides(), MatchingArraySize(), size, Dims< N >::sizes, and Dims< N >::strides.

+

References DCHECK, IsPackedWithoutStrides(), MatchingArraySize(), size, Dims< N >::sizes, and Dims< N >::strides.

Referenced by mir_onnx::registerSupportedOps().

diff --git a/_mul_8float_8cpp_source.html b/_mul_8float_8cpp_source.html index b253ac99a47..2a19f504f45 100644 --- a/_mul_8float_8cpp_source.html +++ b/_mul_8float_8cpp_source.html @@ -132,9 +132,9 @@
32 MatchingArraySize(input1_dims, 2, input2_dims, 2, output_dims, 2);
33 MatchingArraySize(input1_dims, 1, input2_dims, 1, output_dims, 1);
34 MatchingArraySize(input1_dims, 0, input2_dims, 0, output_dims, 0);
-
35 DCHECK(IsPackedWithoutStrides(input1_dims));
-
36 DCHECK(IsPackedWithoutStrides(input2_dims));
-
37 DCHECK(IsPackedWithoutStrides(output_dims));
+
35 DCHECK(IsPackedWithoutStrides(input1_dims));
+
36 DCHECK(IsPackedWithoutStrides(input2_dims));
+
37 DCHECK(IsPackedWithoutStrides(output_dims));
38
39 int i = 0;
40 const int size = input1_dims.sizes[3] * input1_dims.strides[3];
@@ -177,15 +177,15 @@
75 // We name our variables by their Tensorflow convention, but generate C code
76 // nesting loops such that the innermost loop has the smallest stride for the
77 // best cache behavior.
-
78 for (int b = 0; b < ArraySize(output_dims, 3); ++b)
+
78 for (int b = 0; b < ArraySize(output_dims, 3); ++b)
79 {
-
80 for (int y = 0; y < ArraySize(output_dims, 2); ++y)
+
80 for (int y = 0; y < ArraySize(output_dims, 2); ++y)
81 {
-
82 for (int x = 0; x < ArraySize(output_dims, 1); ++x)
+
82 for (int x = 0; x < ArraySize(output_dims, 1); ++x)
83 {
-
84 for (int c = 0; c < ArraySize(output_dims, 0); ++c)
+
84 for (int c = 0; c < ArraySize(output_dims, 0); ++c)
85 {
-
86 output_data[Offset(output_dims, c, x, y, b)] =
+
86 output_data[Offset(output_dims, c, x, y, b)] =
87 ActivationFunction<Ac>(input1_data[SubscriptToIndex(desc1, c, x, y, b)] *
88 input2_data[SubscriptToIndex(desc2, c, x, y, b)]);
89 }
@@ -240,17 +240,17 @@
int SubscriptToIndex(const NdArrayDesc< 4 > &desc, int i0, int i1, int i2, int i3)
Definition NDArray.h:54
NdArrayDesc< 4 > desc1
NdArrayDesc< 4 > desc2
-
int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
Definition Dims.h:64
-
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
-
bool IsPackedWithoutStrides(const Dims< N > &dims)
Definition Dims.h:155
#define DCHECK(condition)
Definition Macro.h:25
+
int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
Definition Dims.h:64
+
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
+
bool IsPackedWithoutStrides(const Dims< N > &dims)
Definition Dims.h:155
bool SameShape(const Shape &in1, const Shape &in2)
Definition Shape.cpp:22
int MatchingArraySize(const ArrayType1 &array1, int index1, const ArrayType2 &array2, int index2)
Definition Array.h:31
int32_t size[5]
Definition Slice.cpp:35
-
Definition Dims.h:26
-
int sizes[N]
Definition Dims.h:27
-
int strides[N]
Definition Dims.h:28
+
Definition Dims.h:26
+
int sizes[N]
Definition Dims.h:27
+
int strides[N]
Definition Dims.h:28
Definition Shape.h:28
diff --git a/_multi_dialect_shape_inference_rule_8h_source.html b/_multi_dialect_shape_inference_rule_8h_source.html index d8fafe90602..aada379bd08 100644 --- a/_multi_dialect_shape_inference_rule_8h_source.html +++ b/_multi_dialect_shape_inference_rule_8h_source.html @@ -128,7 +128,7 @@
31{
32public:
33 bool recognize(const Dialect *) const final;
-
34 bool infer(const Node *, NodeShape &) const final;
+
34 bool infer(const Node *, NodeShape &) const final;
35
38
@@ -148,7 +148,7 @@
Logical unit of computation.
Definition Node.h:54
-
std::vector< float > infer()
Definition main.cpp:25
+
std::vector< float > infer()
Definition main.cpp:25
diff --git a/_n_d_array_8h.html b/_n_d_array_8h.html index 1b79b1e765d..3130df1da8b 100644 --- a/_n_d_array_8h.html +++ b/_n_d_array_8h.html @@ -95,7 +95,7 @@
NDArray.h File Reference
-
#include "Dims.h"
+
#include "Dims.h"
#include "Macro.h"

Go to the source code of this file.

@@ -183,8 +183,8 @@

106 // stride 0.

107 for (int i = 0; i < N; ++i)
108 {
-
-
110 const int extent1 = ArraySize(input1_dims, i);
+
109 const int extent0 = ArraySize(input0_dims, i);
+
110 const int extent1 = ArraySize(input1_dims, i);
111 if (extent0 != extent1)
112 {
113 if (extent0 == 1)
@@ -201,15 +201,15 @@

124 }

125 }
126}
-
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
#define DCHECK_EQ(x, y)
Definition Macro.h:29
#define DCHECK(condition)
Definition Macro.h:25
-
int sizes[N]
Definition Dims.h:27
-
int strides[N]
Definition Dims.h:28
+
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
+
int sizes[N]
Definition Dims.h:27
+
int strides[N]
Definition Dims.h:28
int strides[N]
Definition NDArray.h:45
int extents[N]
Definition NDArray.h:41
-

References ArraySize(), DCHECK, DCHECK_EQ, NdArrayDesc< N >::extents, Dims< N >::sizes, Dims< N >::strides, and NdArrayDesc< N >::strides.

+

References ArraySize(), DCHECK, DCHECK_EQ, NdArrayDesc< N >::extents, Dims< N >::sizes, Dims< N >::strides, and NdArrayDesc< N >::strides.

Referenced by BroadcastAdd(), BroadcastDiv(), BroadcastMul(), tflite::reference_ops::BroadcastPow4DSlow(), tflite::reference_ops::BroadcastSelect4DSlow(), and BroadcastSub().

diff --git a/_n_d_array_8h_source.html b/_n_d_array_8h_source.html index 6614dd65874..77fbdf45344 100644 --- a/_n_d_array_8h_source.html +++ b/_n_d_array_8h_source.html @@ -118,7 +118,7 @@
19#ifndef __ND_ARRAY_H__
20#define __ND_ARRAY_H__
21
-
22#include "Dims.h"
+
22#include "Dims.h"
23#include "Macro.h"
24
25// From optimized_ops.h in TensorFlow Lite
@@ -210,8 +210,8 @@
106 // stride 0.
107 for (int i = 0; i < N; ++i)
108 {
-
109 const int extent0 = ArraySize(input0_dims, i);
-
110 const int extent1 = ArraySize(input1_dims, i);
+
109 const int extent0 = ArraySize(input0_dims, i);
+
110 const int extent1 = ArraySize(input1_dims, i);
111 if (extent0 != extent1)
112 {
113 if (extent0 == 1)
@@ -241,14 +241,14 @@
void NdArrayDescsForElementwiseBroadcast(const Dims< N > &input0_dims, const Dims< N > &input1_dims, NdArrayDesc< N > *desc0_out, NdArrayDesc< N > *desc1_out)
Definition NDArray.h:89
int NodeOffset(int b, int h, int w, int height, int width)
Definition NDArray.h:128
int SubscriptToIndex(const NdArrayDesc< 4 > &desc, int i0, int i1, int i2, int i3)
Definition NDArray.h:54
-
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
#define DCHECK_EQ(x, y)
Definition Macro.h:29
#define DCHECK(condition)
Definition Macro.h:25
+
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
- -
Definition Dims.h:26
-
int sizes[N]
Definition Dims.h:27
-
int strides[N]
Definition Dims.h:28
+ +
Definition Dims.h:26
+
int sizes[N]
Definition Dims.h:27
+
int strides[N]
Definition Dims.h:28
int strides[N]
Definition NDArray.h:45
int extents[N]
Definition NDArray.h:41
diff --git a/_n_e_g_e_m_m_matrix_accumulate_biases_kernel_8cpp.html b/_n_e_g_e_m_m_matrix_accumulate_biases_kernel_8cpp.html index 749986b8220..5a080e084a9 100644 --- a/_n_e_g_e_m_m_matrix_accumulate_biases_kernel_8cpp.html +++ b/_n_e_g_e_m_m_matrix_accumulate_biases_kernel_8cpp.html @@ -133,7 +133,7 @@

Definition at line 135 of file NEGEMMMatrixAccumulateBiasesKernel.cpp.

-

Referenced by coco::Op::accept(), coco::Op::accept(), ANeuralNetworksCompilation_create(), ANeuralNetworksExecution_setInputFromMemory(), ANeuralNetworksExecution_setOutputFromMemory(), ANeuralNetworksMemory_createFromFd(), ANeuralNetworksMemory_free(), ANeuralNetworksModel_addOperand(), ANeuralNetworksModel_addOperation(), ANeuralNetworksModel_create(), ANeuralNetworksModel_finish(), ANeuralNetworksModel_free(), ANeuralNetworksModel_identifyInputsAndOutputs(), ANeuralNetworksModel_setOperandValue(), ANeuralNetworksModel_setOperandValueFromMemory(), coco::BagManager::BagManager(), coco::BlockManager::BlockManager(), caffeimport::EltwiseBuilder::build(), caffeimport::PoolingBuilder::build(), tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DivGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::ReshapeGraphBuilder::build(), tflimport::SubGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), tflimport::build_activation(), enco::SubnetManager::context(), coco::Module::create(), DEBUGGING_API_P(), DEBUGGING_API_P(), DEBUGGING_API_P(), DEBUGGING_API_P(), DEBUGGING_API_P(), nnfw::cker::reference_integer_ops::DepthwiseConvHybridPerChannel(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), enco::CppCode::dump(), luci::dynamic_batch_to_single_batch(), enco::eliminate_dead_bag(), enco::eliminate_dead_object(), enco::eliminate_free_instr(), enco::eliminate_free_op(), enco::eliminate_indirect_copy(), onert::ir::Model::extract_metadata(), nnfw::cker::optimized::FloatDepthwiseConvAccumRowGeneric(), optimized_ops::FloatDepthwiseConvAccumRowGeneric(), enco::generate_bypass_shuffle(), enco::generate_global_data(), coco::DLinkedList< Child, Parent >::head(), enco::hoist_object(), coco::InputManager::InputManager(), kuma::details::IntervalSet::insert(), instr_builder(), instr_builder(), instr_builder(), enco::instr_sequence(), coco::InstrManager::InstrManager(), enco::lower_concat(), enco::lower_copy(), main(), enco::make_session(), coco::EntityBuilder::module(), enco::Bundle::module(), hermes::ConsoleReporter::notify(), coco::ObjectManager::ObjectManager(), op_builder(), op_builder(), nnfw::cker::training_ops::functor::ApplyAdamNonCuda< Device, T >::operator()(), operator<<(), coco::OpManager::OpManager(), luci::CircleOptimizer::optimize(), coco::OutputManager::OutputManager(), tflimport::TensorBags::prepare(), PYBIND11_MODULE(), nnfw::cker::optimized_integer_ops::depthwise_conv::QuantizedDepthwiseConvAccumRowGeneric(), nnfw::cker::optimized::depthwise_conv::QuantizedDepthwiseConvAccumRowGeneric(), enco::reduce_duplicated_object(), enco::reduce_identical_object(), arm_compute::NEGEMMMatrixAccumulateBiasesKernel::run(), luci::CircleShapeInferencePass::run(), luci::CircleTypeInferencePass::run(), luci::FuseBCQPass::run(), enco::select_intrinsic(), enco::session(), RunTimePoolInfo::set(), tflimport::set_module_inputs(), tflimport::set_module_outputs(), TEST(), TEST(), TEST(), TEST(), TEST(), TEST(), TEST(), TEST(), TEST(), TEST(), flexbuffers::Reference::ToString(), and luci::validate_unique_name().

+

Referenced by coco::Op::accept(), coco::Op::accept(), ANeuralNetworksCompilation_create(), ANeuralNetworksExecution_setInputFromMemory(), ANeuralNetworksExecution_setOutputFromMemory(), ANeuralNetworksMemory_createFromFd(), ANeuralNetworksMemory_free(), ANeuralNetworksModel_addOperand(), ANeuralNetworksModel_addOperation(), ANeuralNetworksModel_create(), ANeuralNetworksModel_finish(), ANeuralNetworksModel_free(), ANeuralNetworksModel_identifyInputsAndOutputs(), ANeuralNetworksModel_setOperandValue(), ANeuralNetworksModel_setOperandValueFromMemory(), coco::BagManager::BagManager(), coco::BlockManager::BlockManager(), caffeimport::EltwiseBuilder::build(), caffeimport::PoolingBuilder::build(), tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DivGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::ReshapeGraphBuilder::build(), tflimport::SubGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), tflimport::build_activation(), enco::SubnetManager::context(), coco::Module::create(), DEBUGGING_API_P(), DEBUGGING_API_P(), DEBUGGING_API_P(), DEBUGGING_API_P(), DEBUGGING_API_P(), nnfw::cker::reference_integer_ops::DepthwiseConvHybridPerChannel(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), enco::CppCode::dump(), luci::dynamic_batch_to_single_batch(), enco::eliminate_dead_bag(), enco::eliminate_dead_object(), enco::eliminate_free_instr(), enco::eliminate_free_op(), enco::eliminate_indirect_copy(), onert::ir::Model::extract_metadata(), nnfw::cker::optimized::FloatDepthwiseConvAccumRowGeneric(), optimized_ops::FloatDepthwiseConvAccumRowGeneric(), enco::generate_bypass_shuffle(), enco::generate_global_data(), coco::DLinkedList< Child, Parent >::head(), enco::hoist_object(), coco::InputManager::InputManager(), kuma::details::IntervalSet::insert(), instr_builder(), instr_builder(), instr_builder(), enco::instr_sequence(), coco::InstrManager::InstrManager(), enco::lower_concat(), enco::lower_copy(), main(), enco::make_session(), coco::EntityBuilder::module(), enco::Bundle::module(), hermes::ConsoleReporter::notify(), coco::ObjectManager::ObjectManager(), op_builder(), op_builder(), nnfw::cker::training_ops::functor::ApplyAdamNonCuda< Device, T >::operator()(), operator<<(), coco::OpManager::OpManager(), luci::CircleOptimizer::optimize(), coco::OutputManager::OutputManager(), tflimport::TensorBags::prepare(), PYBIND11_MODULE(), nnfw::cker::optimized_integer_ops::depthwise_conv::QuantizedDepthwiseConvAccumRowGeneric(), nnfw::cker::optimized::depthwise_conv::QuantizedDepthwiseConvAccumRowGeneric(), enco::reduce_duplicated_object(), enco::reduce_identical_object(), arm_compute::NEGEMMMatrixAccumulateBiasesKernel::run(), luci::CircleShapeInferencePass::run(), luci::CircleTypeInferencePass::run(), luci::FuseBCQPass::run(), enco::select_intrinsic(), enco::session(), RunTimePoolInfo::set(), tflimport::set_module_inputs(), tflimport::set_module_outputs(), TEST(), TEST(), TEST(), TEST(), TEST(), TEST(), TEST(), TEST(), TEST(), TEST(), flexbuffers::Reference::ToString(), and luci::validate_unique_name().

diff --git a/_op_8cpp.html b/_op_8cpp.html index 6cc74dec943..b5dfa04e12e 100644 --- a/_op_8cpp.html +++ b/_op_8cpp.html @@ -98,7 +98,7 @@
#include "coco/IR/Op.h"
#include "coco/IR/Step.h"
#include "coco/IR/Part.h"
-#include <pepper/assert.h>
+#include <pepper/assert.h>

Go to the source code of this file.

diff --git a/_op_8cpp_source.html b/_op_8cpp_source.html index 033e05f70e2..7b9cc9887bd 100644 --- a/_op_8cpp_source.html +++ b/_op_8cpp_source.html @@ -117,7 +117,7 @@
18#include "coco/IR/Step.h"
19#include "coco/IR/Part.h"
20
-
21#include <pepper/assert.h>
+
21#include <pepper/assert.h>
22
23namespace coco
24{
@@ -182,7 +182,7 @@
74}
75
-
76Op *UnaryOp::arg(DBGARG(uint32_t, n)) const
+
76Op *UnaryOp::arg(DBGARG(uint32_t, n)) const
77{
78 assert(n < 1);
79 return arg();
@@ -288,8 +288,8 @@
Op * arg(void) const
Definition Op.h:202
uint32_t arity(void) const final
Return the number of arguments (# of child Ops)
Definition Op.cpp:70
- -
#define DBGARG(TYP, VAR)
Definition assert.h:35
+ +
#define DBGARG(TYP, VAR)
Definition assert.h:35
Op * root(Op *)
Return the root Op from a given Op node.
Definition Op.cpp:144
Base interface on all supported NN operations.
Definition Op.h:45
diff --git a/_p_a_l_comparisons_8h.html b/_p_a_l_comparisons_8h.html index dafcbaea77d..b6f95e8cac9 100644 --- a/_p_a_l_comparisons_8h.html +++ b/_p_a_l_comparisons_8h.html @@ -190,7 +190,7 @@

Definition at line 32 of file PALComparisons.h.

-

Referenced by nnfw::cker::Abs(), nnfw::cker::optimized::Add(), nnfw::cker::optimized::Add(), tflite::reference_ops::ArgMax(), tflite::reference_ops::ArgMax(), nnfw::cker::ArgMinMax(), luci_interpreter_pal::AveragePool(), luci_interpreter_pal::AveragePool(), nnfw::cker::AveragePool16(), nnfw::cker::AveragePool32(), nnfw::cker::AveragePool< float >(), nnfw::cker::AveragePool< int8_t >(), luci_interpreter_pal::AveragePool< int8_t >(), nnfw::cker::AveragePool< uint8_t >(), luci_interpreter_pal::BatchMatMul(), onert::backend::cpu::ops::BatchMatMulLayer::batchMatMulFloat32(), luci_interpreter_pal::BatchToSpaceND(), nnfw::cker::BatchToSpaceND(), nnfw::cker::reference::BinaryArithmeticOp(), nnfw::cker::BinaryArithmeticOp(), nnfw::cker::reference::BinaryArithmeticOp(), nnfw::cker::BinaryArithmeticOp(), nnfw::cker::reference::BinaryArithmeticOp(), moco::broadcast_shape(), luci_interpreter_pal::BroadcastAdd4DSlow(), nnfw::cker::optimized::BroadcastAddDispatch(), nnfw::cker::optimized::BroadcastAddDispatch(), luci_interpreter_pal::BroadcastArithmeticOp4DSlow(), nnfw::cker::BroadcastBinaryArithmeticOp(), nnfw::cker::BroadcastBinaryArithmeticOp(), nnfw::cker::reference::BroadcastBinaryArithmeticOpSlow(), nnfw::cker::reference::BroadcastBinaryArithmeticOpSlow(), nnfw::cker::reference::BroadcastBinaryArithmeticOpSlow(), nnfw::cker::reference::BroadcastBinaryArithmeticOpSlow(), luci_interpreter_pal::BroadcastBinaryOp4DSlow(), nnfw::cker::BroadcastComparison4DSlow(), nnfw::cker::BroadcastComparison4DSlowImpl(), nnfw::cker::BroadcastComparison4DSlowWithScaling(), luci_interpreter_pal::BroadcastDiv4DSlow(), nnfw::cker::optimized::BroadcastDivDispatch(), luci_interpreter_pal::BroadcastFloorDiv4DSlow(), luci_interpreter_pal::BroadcastFloorMod4DSlow(), luci_interpreter_pal::BroadcastMaximum4DSlow(), luci_interpreter_pal::BroadcastMinimum4DSlow(), luci_interpreter_pal::BroadcastMul4DSlow(), nnfw::cker::optimized::BroadcastMulDispatch(), nnfw::cker::optimized::BroadcastMulDispatch(), tflite::reference_ops::BroadcastPow4DSlow(), luci_interpreter_pal::BroadcastPrelu4DSlowFloat(), tflite::reference_ops::BroadcastSelect4DSlow(), nnfw::cker::BroadcastSelect4DSlow(), luci_interpreter_pal::BroadcastSub4DSlow(), nnfw::cker::optimized::BroadcastSubDispatch(), luci_interpreter_pal::BroadcastTISO4DSlow(), nnfw::cker::BroadcastTo(), tflimport::SubGraphBuilder::build(), luci_interpreter::kernels::calculateOutputShape(), luci_interpreter::kernels::calculateShapeForBroadcast(), luci_interpreter::kernels::calculateShapeForBroadcast(), nnfw::cker::train::CategoricalCrossEntropy(), luci::change_outputs(), nnfw::cker::checkOutputSize(), nnfw::cker::Comparison(), nnfw::cker::ComparisonImpl(), nnfw::cker::ComparisonWithScaling(), arm_compute::misc::shape_calculator::compute_depth_to_space_shape_ex(), arm_compute::misc::shape_calculator::compute_gather_shape_ex(), arm_compute::misc::shape_calculator::compute_onehot_shape_ex(), arm_compute::misc::shape_calculator::compute_space_to_depth_shape_ex(), luci_interpreter_pal::Concatenation(), nnfw::cker::Concatenation(), nnfw::cker::ConcatenationWithScaling(), luci_interpreter::kernels::ArgMax::configure(), luci_interpreter::kernels::BatchMatMul::configure(), luci_interpreter::kernels::BatchToSpaceND::configure(), luci_interpreter::kernels::BroadcastTo::configure(), luci_interpreter::kernels::Concatenation::configure(), luci_interpreter::kernels::DepthToSpace::configure(), luci_interpreter::kernels::ExpandDims::configure(), luci_interpreter::kernels::FullyConnected::configure(), luci_interpreter::kernels::Gather::configure(), luci_interpreter::kernels::Mean::configure(), luci_interpreter::kernels::MirrorPad::configure(), luci_interpreter::kernels::OneHot::configure(), luci_interpreter::kernels::Pack::configure(), luci_interpreter::kernels::Pad::configure(), luci_interpreter::kernels::PadV2::configure(), luci_interpreter::kernels::ReduceMax::configure(), luci_interpreter::kernels::ReduceProd::configure(), luci_interpreter::kernels::Reshape::configure(), luci_interpreter::kernels::ResizeBilinear::configure(), luci_interpreter::kernels::ResizeNearestNeighbor::configure(), luci_interpreter::kernels::ShapeKernel::configure(), luci_interpreter::kernels::SpaceToBatchND::configure(), luci_interpreter::kernels::SpaceToDepth::configure(), luci_interpreter::kernels::Split::configure(), luci_interpreter::kernels::SplitV::configure(), luci_interpreter::kernels::Squeeze::configure(), luci_interpreter::kernels::StridedSlice::configure(), luci_interpreter::kernels::Sum::configure(), luci_interpreter::kernels::Tile::configure(), luci_interpreter::kernels::Transpose::configure(), luci_interpreter::kernels::UnidirectionalSequenceLSTM::configure(), luci_interpreter::kernels::Unpack::configure(), arm_compute::CLDirectTransposeConvLayer::configure(), arm_compute::CLArgMinMaxLayerEx::configure(), arm_compute::NEGatherKernelEx::configure(), arm_compute::NETransposeConvLayer::configure(), nnfw::cker::reference::Conv(), nnfw::cker::multithreaded::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::optimized::Conv(), mir_onnx::convertConvTransposeV1(), mir_onnx::convertConvV1(), mir_onnx::convertShapeV1(), mir_tflite::TFLiteOpCreator::convertTransposeConv(), nnfw::cker::Cos(), onert::backend::xnnpack::ops::FullyConnectedLayer::create(), nnfw::cker::train::Depad(), tflite::reference_ops::DepthConcatenation(), luci_interpreter_pal::DepthToSpace(), nnfw::cker::DepthToSpace(), nnfw::cker::DepthwiseConv(), nnfw::cker::optimized_integer_ops::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::reference_integer_ops::DepthwiseConvHybridPerChannel(), nnfw::cker::optimized_integer_ops::DepthwiseConvImpl(), nnfw::cker::optimized::DepthwiseConvImpl(), nnfw::cker::optimized::DepthwiseConvImpl(), nnfw::cker::optimized_integer_ops::DepthwiseConvPerChannel(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), luci_interpreter_pal::DepthwiseConvPerChannel< int8_t >(), nnfw::cker::optimized_integer_ops::DepthwiseConvWithRounding(), nnfw::cker::optimized::DepthwiseConvWithRounding(), tflite::reference_ops::Dequantize(), nnfw::cker::Dequantize(), nnfw::cker::Dequantize(), nnfw::cker::Dequantize(), nnfw::cker::optimized::DilatedIm2col(), nnfw::ruy::DilatedIm2col(), nnfw::cker::optimized::DilatedIm2col(), nnfw::ruy::DilatedIm2col(), nnfw::cker::optimized::Div(), nnfw::cker::ELU(), nnfw::cker::Erf(), luci_interpreter::kernels::lstm::EvalFloat(), luci_interpreter::kernels::evalTISOInplaceKernel(), luci_interpreter::kernels::evalTISOKernel(), luci_interpreter::execute_kernel_CircleAdd(), luci_interpreter::execute_kernel_CircleDiv(), luci_interpreter::execute_kernel_CircleFloorDiv(), luci_interpreter::execute_kernel_CircleFloorMod(), luci_interpreter::execute_kernel_CircleMaximum(), luci_interpreter::execute_kernel_CircleMinimum(), luci_interpreter::execute_kernel_CircleMul(), luci_interpreter::execute_kernel_CircleSub(), nnfw::cker::Exp(), tflite::reference_ops::FakeQuant(), nnfw::cker::Fill(), luci_interpreter_pal::Floor(), nnfw::cker::Floor(), nnfw::cker::FloorDivBroadcast(), nnfw::cker::FloorModBroadcast(), ConcatSpec::forward(), luci_interpreter_pal::FullyConnected(), luci_interpreter_pal::FullyConnected(), nnfw::ruy::FullyConnected(), nnfw::cker::FullyConnected(), luci_interpreter_pal::FullyConnected(), luci_interpreter_pal::FullyConnected(), luci_interpreter_pal::FullyConnected< int8_t >(), luci_interpreter_pal::FullyConnected< int8_t >(), nnfw::cker::FullyConnectedHybrid(), nnfw::cker::FullyConnectedSparseWeight16x1(), nnfw::cker::FullyConnectedSparseWeightRandom(), nnfw::cker::train::GradientDescent(), nnfw::cker::HowManyConvThreads(), nnfw::cker::optimized_integer_ops::HowManyConvThreads(), nnfw::cker::reference::HybridConvPerChannel(), nnfw::cker::optimized::Im2col(), nnfw::ruy::Im2col(), luci::infer_output_shape(), onert::shape_inference::inferBatchMatMulShape(), mir::ops::SqueezeOp::inferOutputTypes(), nnfw::cker::InstanceNorm(), luci_interpreter_pal::L2Normalization(), nnfw::cker::L2NormalizeFloat32(), nnfw::cker::L2NormalizeQuant8(), luci_interpreter_pal::L2Pool(), nnfw::cker::LeakyReLU(), tflite::reference_ops::LocalResponseNormalization(), nnfw::cker::Log(), nnfw::cker::LogicalAndBroadcast(), nnfw::cker::LogicalNot(), nnfw::cker::LogicalOrBroadcast(), nnfw::cker::Logistic(), luci_interpreter_pal::LogSoftmax(), nnfw::cker::LogSoftmax(), nnfw::cker::LogSoftmax(), main(), nnfw::cker::MatMulBCast::MatMulBCast(), nnfw::cker::MatrixBandPart(), tflite::reference_ops::Maximum(), tflite::reference_ops::Maximum(), nnfw::cker::MaximumMinimumBroadcast4DSlow(), luci_interpreter_pal::MaxPool(), luci_interpreter_pal::MaxPool(), nnfw::cker::train::MaxPool2D(), nnfw::cker::MaxPool< float >(), nnfw::cker::MaxPool< uint8_t >(), luci_interpreter_pal::Mean(), nnfw::cker::Mean(), nnfw::cker::MeanAxis1And2(), nnfw::cker::MeanQ8Asymm(), tflite::reference_ops::Minimum(), tflite::reference_ops::Minimum(), nnfw::cker::train::MSE(), tflite::reference_ops::Mul(), tflite::reference_ops::Mul(), nnfw::cker::optimized::Mul(), nnfw::cker::optimized::Mul(), luci_interpreter_pal::Mul(), nnfw::cker::Neg(), luci_interpreter_pal::Negate(), nnfw::cker::Conv::operator()(), nnfw::ruy::Conv::operator()(), nnfw::cker::Conv::operator()(), nnfw::cker::Conv::operator()(), nnfw::cker::Conv::operator()(), nnfw::cker::functor::BroadcastTo< Device, T >::operator()(), nnfw::cker::BatchMatMul::operator()(), nnfw::cker::FusedBatchNorm::operator()(), nnfw::cker::Einsum::operator()(), tflite::reference_ops::Pack(), nnfw::cker::Pack(), tflite::reference_ops::PackWithScaling(), nnfw::cker::Pad(), luci_interpreter_pal::Pad(), tflite::reference_ops::Pow(), nnfw::cker::powImpl(), nnfw::ruy::Conv::prepare(), nnfw::cker::ReduceMean::PrepareforReduce(), nnfw::cker::Conv::prepareQ8uPerTensor(), nnfw::cker::Quantize(), nnfw::cker::Quantize(), nnfw::cker::Quantize(), nnfw::cker::Quantize(), nnfw::cker::Reduce::QuantizedMeanOrSum(), tflite::reference_ops::RankOneSelect(), nnfw::cker::RankOneSelect(), nnfw::cker::Reduce::ReduceGeneric(), nnfw::cker::ReduceMean::ReduceOp(), nnfw::cker::ReduceMean::ReduceOp(), tflite::reference_ops::Relu(), nnfw::cker::ReLU(), tflite::reference_ops::Relu1(), tflite::reference_ops::Relu6(), nnfw::cker::train::ReLU6Grad(), nnfw::cker::train::ReLUGrad(), tflite::reference_ops::ReluX(), tflite::reference_ops::ReluX(), nnfw::cker::ResizeBilinear(), nnfw::cker::ResizeBilinear(), nnfw::cker::ResizeBilinear(), nnfw::cker::ResizeBilinear2x2(), nnfw::cker::ResizeBilinearKernel2x2(), luci_interpreter_pal::ResizeNearestNeighbor(), nnfw::cker::Round(), nnfw::cker::Rsqrt(), onert::compiler::train::pass::LossInsertionPass::run(), mir_interpreter::AvgPool2DImpl< uint8_t >::run(), mir_interpreter::AvgPool2DImpl< T >::run(), mir_interpreter::MaxPool2DImpl< uint8_t >::run(), mir_interpreter::TransposeImpl< T >::run(), mir_interpreter::MaxPool2DImpl< T >::run(), mir_interpreter::ReduceMeanImpl< T >::run(), mir_interpreter::ConcatImpl< T >::run(), mir_interpreter::ConcatImpl< uint8_t >::run(), mir_interpreter::Conv2DImpl< T >::run(), mir_interpreter::DeConv2DImpl< T >::run(), tflite::reference_ops::ScatterNd(), tflite::reference_ops::SegmentSum(), luci_interpreter_pal::Select(), tflite::reference_ops::Select(), nnfw::cker::Select(), nnkit::support::moco::tf::Backend::setInputOutputFromGraph(), nnfw::cker::Sin(), tflite::reference_ops::Slice(), tflite::reference_ops::Slice(), nnfw::cker::reference::Softmax(), nnfw::cker::Softmax(), nnfw::cker::Softmax(), luci_interpreter_pal::Softmax< int8_t >(), nnfw::cker::train::SoftMaxGrad(), luci_interpreter_pal::SpaceToBatchND(), nnfw::cker::SpaceToBatchND(), luci_interpreter_pal::SpaceToDepth(), nnfw::cker::SpaceToDepth(), tflite::reference_ops::SparseToDense(), nnfw::cker::Split(), nnfw::cker::SqDiff(), nnfw::cker::SqDiffImpl(), nnfw::cker::Sqrt(), nnfw::cker::Square(), nnfw::cker::StatelessRandomUniform(), nnfw::cker::StridedSlice(), nnfw::cker::optimized::Sub(), tflite::reference_ops::Sub16(), nnfw::cker::Tanh(), TEST(), nnfw::cker::Transpose2D(), luci_interpreter_pal::TransposeConv(), nnfw::cker::TransposeConv(), nnfw::cker::TransposeImpl(), nnfw::cker::reference::TransposeImpl(), tflite::reference_ops::Unpack(), nnfw::cker::Unpack(), arm_compute::NEGatherKernelEx::validate(), arm_compute::NETransposeConvLayer::validate(), arm_compute::CLDirectTransposeConvLayer::validate(), enco::validate_output_shape(), onert::compiler::ShapeValidator::visit(), onert::exec::DynamicShapeInferer::visit(), onert::exec::DynamicShapeInferer::visit(), onert::exec::DynamicShapeInferer::visit(), onert::compiler::ShapeValidator::visit(), onert::compiler::ShapeValidator::visit(), onert::exec::DynamicShapeInferer::visit(), onert::exec::DynamicShapeInferer::visit(), onert::compiler::pass::PermutationOperationPass::visit(), onert::compiler::ShapeValidator::visit(), onert::compiler::pass::PermutationOperationPass::visit(), onert::compiler::pass::PermutationOperationPass::visit(), onert::compiler::ShapeValidator::visit(), onert::exec::DynamicShapeInferer::visit(), onert::compiler::ShapeValidator::visit(), onert::compiler::pass::PermutationOperationPass::visit(), onert::exec::DynamicShapeInferer::visit(), onert::exec::DynamicShapeInferer::visit(), onert::exec::DynamicShapeInferer::visit(), onert::compiler::ShapeValidator::visit(), onert::compiler::ShapeValidator::visit(), onert::compiler::ShapeValidator::visit(), onert::exec::DynamicShapeInferer::visit(), onert::exec::DynamicShapeInferer::visit(), onert::compiler::ShapeValidator::visit(), and onert::compiler::pass::PermutationOperationPass::visit().

+

Referenced by nnfw::cker::Abs(), nnfw::cker::optimized::Add(), nnfw::cker::optimized::Add(), tflite::reference_ops::ArgMax(), tflite::reference_ops::ArgMax(), nnfw::cker::ArgMinMax(), luci_interpreter_pal::AveragePool(), luci_interpreter_pal::AveragePool(), nnfw::cker::AveragePool16(), nnfw::cker::AveragePool32(), nnfw::cker::AveragePool< float >(), nnfw::cker::AveragePool< int8_t >(), luci_interpreter_pal::AveragePool< int8_t >(), nnfw::cker::AveragePool< uint8_t >(), luci_interpreter_pal::BatchMatMul(), onert::backend::cpu::ops::BatchMatMulLayer::batchMatMulFloat32(), luci_interpreter_pal::BatchToSpaceND(), nnfw::cker::BatchToSpaceND(), nnfw::cker::reference::BinaryArithmeticOp(), nnfw::cker::BinaryArithmeticOp(), nnfw::cker::reference::BinaryArithmeticOp(), nnfw::cker::BinaryArithmeticOp(), nnfw::cker::reference::BinaryArithmeticOp(), moco::broadcast_shape(), luci_interpreter_pal::BroadcastAdd4DSlow(), nnfw::cker::optimized::BroadcastAddDispatch(), nnfw::cker::optimized::BroadcastAddDispatch(), luci_interpreter_pal::BroadcastArithmeticOp4DSlow(), nnfw::cker::BroadcastBinaryArithmeticOp(), nnfw::cker::BroadcastBinaryArithmeticOp(), nnfw::cker::reference::BroadcastBinaryArithmeticOpSlow(), nnfw::cker::reference::BroadcastBinaryArithmeticOpSlow(), nnfw::cker::reference::BroadcastBinaryArithmeticOpSlow(), nnfw::cker::reference::BroadcastBinaryArithmeticOpSlow(), luci_interpreter_pal::BroadcastBinaryOp4DSlow(), nnfw::cker::BroadcastComparison4DSlow(), nnfw::cker::BroadcastComparison4DSlowImpl(), nnfw::cker::BroadcastComparison4DSlowWithScaling(), luci_interpreter_pal::BroadcastDiv4DSlow(), nnfw::cker::optimized::BroadcastDivDispatch(), luci_interpreter_pal::BroadcastFloorDiv4DSlow(), luci_interpreter_pal::BroadcastFloorMod4DSlow(), luci_interpreter_pal::BroadcastMaximum4DSlow(), luci_interpreter_pal::BroadcastMinimum4DSlow(), luci_interpreter_pal::BroadcastMul4DSlow(), nnfw::cker::optimized::BroadcastMulDispatch(), nnfw::cker::optimized::BroadcastMulDispatch(), tflite::reference_ops::BroadcastPow4DSlow(), luci_interpreter_pal::BroadcastPrelu4DSlowFloat(), tflite::reference_ops::BroadcastSelect4DSlow(), nnfw::cker::BroadcastSelect4DSlow(), luci_interpreter_pal::BroadcastSub4DSlow(), nnfw::cker::optimized::BroadcastSubDispatch(), luci_interpreter_pal::BroadcastTISO4DSlow(), nnfw::cker::BroadcastTo(), tflimport::SubGraphBuilder::build(), luci_interpreter::kernels::calculateOutputShape(), luci_interpreter::kernels::calculateShapeForBroadcast(), luci_interpreter::kernels::calculateShapeForBroadcast(), nnfw::cker::train::CategoricalCrossEntropy(), luci::change_outputs(), nnfw::cker::checkOutputSize(), nnfw::cker::Comparison(), nnfw::cker::ComparisonImpl(), nnfw::cker::ComparisonWithScaling(), arm_compute::misc::shape_calculator::compute_depth_to_space_shape_ex(), arm_compute::misc::shape_calculator::compute_gather_shape_ex(), arm_compute::misc::shape_calculator::compute_onehot_shape_ex(), arm_compute::misc::shape_calculator::compute_space_to_depth_shape_ex(), luci_interpreter_pal::Concatenation(), nnfw::cker::Concatenation(), nnfw::cker::ConcatenationWithScaling(), luci_interpreter::kernels::ArgMax::configure(), luci_interpreter::kernels::BatchMatMul::configure(), luci_interpreter::kernels::BatchToSpaceND::configure(), luci_interpreter::kernels::BroadcastTo::configure(), luci_interpreter::kernels::Concatenation::configure(), luci_interpreter::kernels::DepthToSpace::configure(), luci_interpreter::kernels::ExpandDims::configure(), luci_interpreter::kernels::FullyConnected::configure(), luci_interpreter::kernels::Gather::configure(), luci_interpreter::kernels::Mean::configure(), luci_interpreter::kernels::MirrorPad::configure(), luci_interpreter::kernels::OneHot::configure(), luci_interpreter::kernels::Pack::configure(), luci_interpreter::kernels::Pad::configure(), luci_interpreter::kernels::PadV2::configure(), luci_interpreter::kernels::ReduceMax::configure(), luci_interpreter::kernels::ReduceProd::configure(), luci_interpreter::kernels::Reshape::configure(), luci_interpreter::kernels::ResizeBilinear::configure(), luci_interpreter::kernels::ResizeNearestNeighbor::configure(), luci_interpreter::kernels::ShapeKernel::configure(), luci_interpreter::kernels::SpaceToBatchND::configure(), luci_interpreter::kernels::SpaceToDepth::configure(), luci_interpreter::kernels::Split::configure(), luci_interpreter::kernels::SplitV::configure(), luci_interpreter::kernels::Squeeze::configure(), luci_interpreter::kernels::StridedSlice::configure(), luci_interpreter::kernels::Sum::configure(), luci_interpreter::kernels::Tile::configure(), luci_interpreter::kernels::Transpose::configure(), luci_interpreter::kernels::UnidirectionalSequenceLSTM::configure(), luci_interpreter::kernels::Unpack::configure(), arm_compute::CLDirectTransposeConvLayer::configure(), arm_compute::CLArgMinMaxLayerEx::configure(), arm_compute::NEGatherKernelEx::configure(), arm_compute::NETransposeConvLayer::configure(), nnfw::cker::reference::Conv(), nnfw::cker::multithreaded::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::optimized::Conv(), mir_onnx::convertConvTransposeV1(), mir_onnx::convertConvV1(), mir_onnx::convertShapeV1(), mir_tflite::TFLiteOpCreator::convertTransposeConv(), nnfw::cker::Cos(), onert::backend::xnnpack::ops::FullyConnectedLayer::create(), nnfw::cker::train::Depad(), tflite::reference_ops::DepthConcatenation(), luci_interpreter_pal::DepthToSpace(), nnfw::cker::DepthToSpace(), nnfw::cker::DepthwiseConv(), nnfw::cker::optimized_integer_ops::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::reference_integer_ops::DepthwiseConvHybridPerChannel(), nnfw::cker::optimized_integer_ops::DepthwiseConvImpl(), nnfw::cker::optimized::DepthwiseConvImpl(), nnfw::cker::optimized::DepthwiseConvImpl(), nnfw::cker::optimized_integer_ops::DepthwiseConvPerChannel(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), luci_interpreter_pal::DepthwiseConvPerChannel< int8_t >(), nnfw::cker::optimized_integer_ops::DepthwiseConvWithRounding(), nnfw::cker::optimized::DepthwiseConvWithRounding(), tflite::reference_ops::Dequantize(), nnfw::cker::Dequantize(), nnfw::cker::Dequantize(), nnfw::cker::Dequantize(), nnfw::cker::optimized::DilatedIm2col(), nnfw::ruy::DilatedIm2col(), nnfw::cker::optimized::DilatedIm2col(), nnfw::ruy::DilatedIm2col(), nnfw::cker::optimized::Div(), nnfw::cker::ELU(), nnfw::cker::Erf(), luci_interpreter::kernels::lstm::EvalFloat(), luci_interpreter::kernels::evalTISOInplaceKernel(), luci_interpreter::kernels::evalTISOKernel(), luci_interpreter::execute_kernel_CircleAdd(), luci_interpreter::execute_kernel_CircleDiv(), luci_interpreter::execute_kernel_CircleFloorDiv(), luci_interpreter::execute_kernel_CircleFloorMod(), luci_interpreter::execute_kernel_CircleMaximum(), luci_interpreter::execute_kernel_CircleMinimum(), luci_interpreter::execute_kernel_CircleMul(), luci_interpreter::execute_kernel_CircleSub(), nnfw::cker::Exp(), tflite::reference_ops::FakeQuant(), nnfw::cker::Fill(), luci_interpreter_pal::Floor(), nnfw::cker::Floor(), nnfw::cker::FloorDivBroadcast(), nnfw::cker::FloorModBroadcast(), ConcatSpec::forward(), luci_interpreter_pal::FullyConnected(), luci_interpreter_pal::FullyConnected(), nnfw::ruy::FullyConnected(), nnfw::cker::FullyConnected(), luci_interpreter_pal::FullyConnected(), luci_interpreter_pal::FullyConnected(), luci_interpreter_pal::FullyConnected< int8_t >(), luci_interpreter_pal::FullyConnected< int8_t >(), nnfw::cker::FullyConnectedHybrid(), nnfw::cker::FullyConnectedSparseWeight16x1(), nnfw::cker::FullyConnectedSparseWeightRandom(), nnfw::cker::train::GradientDescent(), nnfw::cker::HowManyConvThreads(), nnfw::cker::optimized_integer_ops::HowManyConvThreads(), nnfw::cker::reference::HybridConvPerChannel(), nnfw::cker::optimized::Im2col(), nnfw::ruy::Im2col(), luci::infer_output_shape(), onert::shape_inference::inferBatchMatMulShape(), mir::ops::SqueezeOp::inferOutputTypes(), nnfw::cker::InstanceNorm(), luci_interpreter_pal::L2Normalization(), nnfw::cker::L2NormalizeFloat32(), nnfw::cker::L2NormalizeQuant8(), luci_interpreter_pal::L2Pool(), nnfw::cker::LeakyReLU(), tflite::reference_ops::LocalResponseNormalization(), nnfw::cker::Log(), nnfw::cker::LogicalAndBroadcast(), nnfw::cker::LogicalNot(), nnfw::cker::LogicalOrBroadcast(), nnfw::cker::Logistic(), luci_interpreter_pal::LogSoftmax(), nnfw::cker::LogSoftmax(), nnfw::cker::LogSoftmax(), main(), nnfw::cker::MatMulBCast::MatMulBCast(), nnfw::cker::MatrixBandPart(), tflite::reference_ops::Maximum(), tflite::reference_ops::Maximum(), nnfw::cker::MaximumMinimumBroadcast4DSlow(), luci_interpreter_pal::MaxPool(), luci_interpreter_pal::MaxPool(), nnfw::cker::train::MaxPool2D(), nnfw::cker::MaxPool< float >(), nnfw::cker::MaxPool< uint8_t >(), luci_interpreter_pal::Mean(), nnfw::cker::Mean(), nnfw::cker::MeanAxis1And2(), nnfw::cker::MeanQ8Asymm(), tflite::reference_ops::Minimum(), tflite::reference_ops::Minimum(), nnfw::cker::train::MSE(), tflite::reference_ops::Mul(), tflite::reference_ops::Mul(), nnfw::cker::optimized::Mul(), nnfw::cker::optimized::Mul(), luci_interpreter_pal::Mul(), nnfw::cker::Neg(), luci_interpreter_pal::Negate(), nnfw::cker::Conv::operator()(), nnfw::ruy::Conv::operator()(), nnfw::cker::Conv::operator()(), nnfw::cker::Conv::operator()(), nnfw::cker::Conv::operator()(), nnfw::cker::functor::BroadcastTo< Device, T >::operator()(), nnfw::cker::BatchMatMul::operator()(), nnfw::cker::FusedBatchNorm::operator()(), nnfw::cker::Einsum::operator()(), tflite::reference_ops::Pack(), nnfw::cker::Pack(), tflite::reference_ops::PackWithScaling(), nnfw::cker::Pad(), luci_interpreter_pal::Pad(), tflite::reference_ops::Pow(), nnfw::cker::powImpl(), nnfw::ruy::Conv::prepare(), nnfw::cker::ReduceMean::PrepareforReduce(), nnfw::cker::Conv::prepareQ8uPerTensor(), nnfw::cker::Quantize(), nnfw::cker::Quantize(), nnfw::cker::Quantize(), nnfw::cker::Quantize(), nnfw::cker::Reduce::QuantizedMeanOrSum(), tflite::reference_ops::RankOneSelect(), nnfw::cker::RankOneSelect(), nnfw::cker::Reduce::ReduceGeneric(), nnfw::cker::ReduceMean::ReduceOp(), nnfw::cker::ReduceMean::ReduceOp(), tflite::reference_ops::Relu(), nnfw::cker::ReLU(), tflite::reference_ops::Relu1(), tflite::reference_ops::Relu6(), nnfw::cker::train::ReLU6Grad(), nnfw::cker::train::ReLUGrad(), tflite::reference_ops::ReluX(), tflite::reference_ops::ReluX(), nnfw::cker::ResizeBilinear(), nnfw::cker::ResizeBilinear(), nnfw::cker::ResizeBilinear(), nnfw::cker::ResizeBilinear2x2(), nnfw::cker::ResizeBilinearKernel2x2(), luci_interpreter_pal::ResizeNearestNeighbor(), nnfw::cker::Round(), nnfw::cker::Rsqrt(), onert::compiler::train::pass::LossInsertionPass::run(), mir_interpreter::AvgPool2DImpl< uint8_t >::run(), mir_interpreter::AvgPool2DImpl< T >::run(), mir_interpreter::MaxPool2DImpl< uint8_t >::run(), mir_interpreter::TransposeImpl< T >::run(), mir_interpreter::MaxPool2DImpl< T >::run(), mir_interpreter::ReduceMeanImpl< T >::run(), mir_interpreter::ConcatImpl< T >::run(), mir_interpreter::ConcatImpl< uint8_t >::run(), mir_interpreter::Conv2DImpl< T >::run(), mir_interpreter::DeConv2DImpl< T >::run(), tflite::reference_ops::ScatterNd(), tflite::reference_ops::SegmentSum(), luci_interpreter_pal::Select(), tflite::reference_ops::Select(), nnfw::cker::Select(), nnkit::support::moco::tf::Backend::setInputOutputFromGraph(), nnfw::cker::Sin(), tflite::reference_ops::Slice(), tflite::reference_ops::Slice(), nnfw::cker::reference::Softmax(), nnfw::cker::Softmax(), nnfw::cker::Softmax(), luci_interpreter_pal::Softmax< int8_t >(), nnfw::cker::train::SoftMaxGrad(), luci_interpreter_pal::SpaceToBatchND(), nnfw::cker::SpaceToBatchND(), luci_interpreter_pal::SpaceToDepth(), nnfw::cker::SpaceToDepth(), tflite::reference_ops::SparseToDense(), nnfw::cker::Split(), nnfw::cker::SqDiff(), nnfw::cker::SqDiffImpl(), nnfw::cker::Sqrt(), nnfw::cker::Square(), nnfw::cker::StatelessRandomUniform(), nnfw::cker::StridedSlice(), nnfw::cker::optimized::Sub(), tflite::reference_ops::Sub16(), nnfw::cker::Tanh(), TEST(), nnfw::cker::Transpose2D(), luci_interpreter_pal::TransposeConv(), nnfw::cker::TransposeConv(), nnfw::cker::TransposeImpl(), nnfw::cker::reference::TransposeImpl(), tflite::reference_ops::Unpack(), nnfw::cker::Unpack(), arm_compute::NEGatherKernelEx::validate(), arm_compute::NETransposeConvLayer::validate(), arm_compute::CLDirectTransposeConvLayer::validate(), enco::validate_output_shape(), onert::compiler::ShapeValidator::visit(), onert::exec::DynamicShapeInferer::visit(), onert::exec::DynamicShapeInferer::visit(), onert::exec::DynamicShapeInferer::visit(), onert::compiler::ShapeValidator::visit(), onert::compiler::ShapeValidator::visit(), onert::exec::DynamicShapeInferer::visit(), onert::exec::DynamicShapeInferer::visit(), onert::compiler::pass::PermutationOperationPass::visit(), onert::compiler::ShapeValidator::visit(), onert::compiler::pass::PermutationOperationPass::visit(), onert::compiler::pass::PermutationOperationPass::visit(), onert::compiler::ShapeValidator::visit(), onert::exec::DynamicShapeInferer::visit(), onert::compiler::ShapeValidator::visit(), onert::compiler::pass::PermutationOperationPass::visit(), onert::exec::DynamicShapeInferer::visit(), onert::exec::DynamicShapeInferer::visit(), onert::exec::DynamicShapeInferer::visit(), onert::compiler::ShapeValidator::visit(), onert::compiler::ShapeValidator::visit(), onert::compiler::ShapeValidator::visit(), onert::exec::DynamicShapeInferer::visit(), onert::exec::DynamicShapeInferer::visit(), onert::compiler::ShapeValidator::visit(), and onert::compiler::pass::PermutationOperationPass::visit().

diff --git a/_partition_i_r_8cpp.html b/_partition_i_r_8cpp.html index 99d6689048c..670b7e882e6 100644 --- a/_partition_i_r_8cpp.html +++ b/_partition_i_r_8cpp.html @@ -95,7 +95,7 @@
#include "PartitionIR.h"
-#include "CircleOpCode.h"
+#include "CircleOpCode.h"
#include "luci/Log.h"
#include <cassert>
#include <ostream>
diff --git a/_partition_i_r_8cpp_source.html b/_partition_i_r_8cpp_source.html index 2d8267fbef6..4b548deda00 100644 --- a/_partition_i_r_8cpp_source.html +++ b/_partition_i_r_8cpp_source.html @@ -114,7 +114,7 @@
15 */
16
17#include "PartitionIR.h"
-
18#include "CircleOpCode.h"
+
18#include "CircleOpCode.h"
19
20#include "luci/Log.h"
21
@@ -208,7 +208,7 @@
#define LOGGER(name)
Definition Log.h:65
#define INFO(name)
Definition Log.h:68
- +
std::string GroupKey
Definition PartitionIR.h:32
diff --git a/_partition_i_r_dump_8cpp.html b/_partition_i_r_dump_8cpp.html index 125df81a4b2..7b8b95b2271 100644 --- a/_partition_i_r_dump_8cpp.html +++ b/_partition_i_r_dump_8cpp.html @@ -96,7 +96,7 @@
#include "PartitionIRDump.h"
-#include "CircleOpCode.h"
+#include "CircleOpCode.h"
#include <iostream>

Go to the source code of this file.

diff --git a/_partition_i_r_dump_8cpp_source.html b/_partition_i_r_dump_8cpp_source.html index a7c28240214..2161299c6f6 100644 --- a/_partition_i_r_dump_8cpp_source.html +++ b/_partition_i_r_dump_8cpp_source.html @@ -115,7 +115,7 @@
16
17#include "PartitionIRDump.h"
18
-
19#include "CircleOpCode.h"
+
19#include "CircleOpCode.h"
20
21#include <iostream>
22
@@ -178,7 +178,7 @@
std::ostream & operator<<(std::ostream &os, const luci::PGroups *pgroups)
- +
std::string opcode_name(const CircleNode *node)
void dump(std::ostream &os, const PNode *pnode)
diff --git a/_partition_p_groups_8cpp.html b/_partition_p_groups_8cpp.html index 3dbac60a759..06f4012cda0 100644 --- a/_partition_p_groups_8cpp.html +++ b/_partition_p_groups_8cpp.html @@ -97,7 +97,7 @@
#include "PartitionPGroups.h"
#include "PartitionIR.h"
-#include "CircleOpCode.h"
+#include "CircleOpCode.h"
#include "luci/Partition.h"
#include "luci/Log.h"
#include "luci/LogHelper.h"
diff --git a/_partition_p_groups_8cpp_source.html b/_partition_p_groups_8cpp_source.html index c3baa1311e5..55b0e0a8d90 100644 --- a/_partition_p_groups_8cpp_source.html +++ b/_partition_p_groups_8cpp_source.html @@ -115,7 +115,7 @@
16
17#include "PartitionPGroups.h"
18#include "PartitionIR.h"
-
19#include "CircleOpCode.h"
+
19#include "CircleOpCode.h"
20
21#include "luci/Partition.h"
22#include "luci/Log.h"
@@ -394,7 +394,7 @@ - +
std::set< Node * > succs(const Node *node)
Enumerate all the successors of a given node.
Definition Node.cpp:46
diff --git a/_propagate_q_param_backward_pass_8cpp_source.html b/_propagate_q_param_backward_pass_8cpp_source.html index 53ecf6a4660..9a0d02b22e9 100644 --- a/_propagate_q_param_backward_pass_8cpp_source.html +++ b/_propagate_q_param_backward_pass_8cpp_source.html @@ -582,7 +582,7 @@
void propagate_pad_v2_quantparam(luci::CirclePadV2 *pad_v2)
void propagate_concat_quantparam(luci::CircleConcatenation *concat)
- +
void quant_const(luci::CircleConst *node, loco::DataType quant_type)
luci::CircleConst * clone(luci::CircleConst *node)
Return cloned object of CircleConst node.
bool is_quantized(const CircleNode *node)
diff --git a/_q_implant_8cpp_source.html b/_q_implant_8cpp_source.html index 02954f9e443..ac0c3171485 100644 --- a/_q_implant_8cpp_source.html +++ b/_q_implant_8cpp_source.html @@ -445,7 +445,7 @@
std::set< loco::Node * > active_nodes(const std::vector< loco::Node * > &roots)
Enumerate all the nodes required to compute "roots".
std::vector< Node * > output_nodes(Graph *)
Definition Graph.cpp:101
DataType
"scalar" value type
Definition DataType.h:27
- +
CircleQuantParam * quantparam(void) const
diff --git a/_quantization_utils_8cpp_source.html b/_quantization_utils_8cpp_source.html index ecf6b5f5cca..63df3a3837b 100644 --- a/_quantization_utils_8cpp_source.html +++ b/_quantization_utils_8cpp_source.html @@ -685,7 +685,7 @@
@ PreDefinedSoftmax
void asymmetric_wquant_with_minmax_per_layer(CircleConst *node, float min, float max, float &scaling_factor, int64_t &zp, float &nudged_min, float &nudged_max)
- +
ActivationQType activation_qtype(const CircleNode *node)
void quant_const(luci::CircleConst *node, loco::DataType quant_type)
bool get_channel_dim_index(CircleConst *node, loco::TensorShape &dimension, int32_t &channel_dim_index)
diff --git a/_quantize_layer_8cc_source.html b/_quantize_layer_8cc_source.html index c0ded9d0ffb..ff5b34d8f1a 100644 --- a/_quantize_layer_8cc_source.html +++ b/_quantize_layer_8cc_source.html @@ -180,7 +180,7 @@
76 (_output->data_type() == OperandType::QUANT_INT8_ASYMM))
77 {
-
79 getBuffer<uint8_t>(_input), MatchingFlatSize(getShape(_input), getShape(_output)),
+
79 getBuffer<uint8_t>(_input), MatchingFlatSize(getShape(_input), getShape(_output)),
80 _output_multiplier, _output_shift, _input->data_zero_point(), _output->data_zero_point(),
81 getBuffer<int8_t>(_output));
82 }
@@ -188,7 +188,7 @@
84 (_output->data_type() == OperandType::QUANT_UINT8_ASYMM))
85 {
-
87 getBuffer<int8_t>(_input), MatchingFlatSize(getShape(_input), getShape(_output)),
+
87 getBuffer<int8_t>(_input), MatchingFlatSize(getShape(_input), getShape(_output)),
88 _output_multiplier, _output_shift, _input->data_zero_point(), _output->data_zero_point(),
89 getBuffer<uint8_t>(_output));
90 }
@@ -204,7 +204,7 @@
99} // namespace backend
100} // namespace onert
-
int MatchingFlatSize(const Dims< N > &dims, const Dims< N > &check_dims_0)
Definition Dims.h:108
+
int MatchingFlatSize(const Dims< N > &dims, const Dims< N > &check_dims_0)
Definition Dims.h:108
A tensor class that is portable for other backends.
int32_t data_zero_point() const override
virtual ir::DataType data_type() const =0
diff --git a/_record_min_max_8cpp_source.html b/_record_min_max_8cpp_source.html index 9227450a876..3eb7e5d9e1c 100644 --- a/_record_min_max_8cpp_source.html +++ b/_record_min_max_8cpp_source.html @@ -329,7 +329,7 @@
235void RecordMinMax::profileRawDataDirectory(const std::string &input_data_path)
236{
-
237 struct dirent *entry = nullptr;
+
237 struct dirent *entry = nullptr;
238 DIR *dp = nullptr;
239
240 dp = opendir(input_data_path.c_str());
@@ -349,13 +349,13 @@
254 total_input_size += getTensorSize(input_node);
255 }
256
-
257 while ((entry = readdir(dp)))
+
257 while ((entry = readdir(dp)))
258 {
259 // Skip if the entry is not a regular file
-
260 if (entry->d_type != DT_REG)
+
260 if (entry->d_type != DT_REG)
261 continue;
262
-
263 const std::string filename = entry->d_name;
+
263 const std::string filename = entry->d_name;
264 std::cout << "Recording " << num_records << "'th data" << std::endl;
265
266 // Read data from file to buffer
@@ -822,7 +822,7 @@
void profileData(const std::string &input_data_path)
void profileRawDataDirectory(const std::string &input_data_path)
-
int entry(const int argc, char **argv)
Definition Driver.cpp:53
+
int entry(const int argc, char **argv)
Definition Driver.cpp:53
__global uchar * offset(const Image *img, int x, int y)
Definition helpers.h:540
diff --git a/_replace_non_const_f_c_with_batch_mat_mul_pass_8cpp_source.html b/_replace_non_const_f_c_with_batch_mat_mul_pass_8cpp_source.html index 139c64e30bb..62dafc806fa 100644 --- a/_replace_non_const_f_c_with_batch_mat_mul_pass_8cpp_source.html +++ b/_replace_non_const_f_c_with_batch_mat_mul_pass_8cpp_source.html @@ -206,114 +206,113 @@
138 if (dynamic_cast<luci::CircleConst *>(fc->weights()))
139 return false; // NonConst
140
-
141 // For const inputs, we don't do this conversion, because we can improve
-
142 // accuracy of quantized models by making transposed FC.
-
143 // See https://github.com/Samsung/ONE/discussions/11941 for more details.
-
144 if (dynamic_cast<luci::CircleConst *>(fc->input()) != nullptr)
-
145 return false;
-
146
-
147 if ((ty = dynamic_cast<luci::CircleTranspose *>(fc->weights()))) // is y a transpose?
-
148 {
-
149 adj_y = false;
-
150 if (dynamic_cast<luci::CircleConst *>(ty->a()))
-
151 return false;
-
152 else
-
153 y = loco::must_cast<luci::CircleNode *>(ty->a());
-
154 }
-
155 else
-
156 { // y is not transpose and not const
-
157 y = loco::must_cast<luci::CircleNode *>(fc->weights());
-
158 }
-
159 if ((tx = dynamic_cast<luci::CircleTranspose *>(fc->input())))
-
160 {
-
161 adj_x = true;
-
162 x = loco::must_cast<luci::CircleNode *>(tx->a());
-
163 }
-
164 else
-
165 {
-
166 x = loco::must_cast<luci::CircleNode *>(fc->input());
-
167 }
-
168
-
169 if (x->dtype() != loco::DataType::FLOAT32 || y->dtype() != loco::DataType::FLOAT32)
-
170 return false;
-
171
-
172 auto bc = dynamic_cast<luci::CircleConst *>(fc->bias());
-
173 // NOTE bias can be empty as CircleOutputExclude type
-
174 // NOTE we can only handle bias as FLOAT32 type as of now
-
175 if (nullptr != bc && bc->dtype() != loco::DataType::FLOAT32)
-
176 return false;
-
177
-
178 auto name = fc->name();
-
179 assert(name.length() > 0);
-
180
-
181 auto matmul = fc->graph()->nodes()->create<luci::CircleBatchMatMul>();
-
182 matmul->x(x);
-
183 matmul->y(y);
-
184 matmul->adj_x(adj_x);
-
185 matmul->adj_y(adj_y);
-
186 matmul->name(name);
-
187 matmul->dtype(fc->dtype());
-
188
-
189 luci::add_origin(matmul, luci::get_origin(fc));
-
190
-
191 auto reshape = create_reshape(fc);
-
192 reshape->tensor(matmul);
-
193
-
194 auto all_zero = [](const luci::CircleConst *c) {
-
195 bool ac = true;
-
196 for (uint32_t i = 0; i < c->size<loco::DataType::FLOAT32>() && ac; i++)
-
197 {
-
198 ac &= c->at<loco::DataType::FLOAT32>(i) == 0.0f;
-
199 }
-
200 return ac;
-
201 };
-
202
-
203 if (nullptr != bc && !all_zero(bc))
-
204 {
-
205 auto bias_add = fc->graph()->nodes()->create<luci::CircleAdd>();
-
206 bias_add->x(reshape);
-
207 bias_add->y(bc);
-
208 bias_add->name(fc->name() + "/bias_add");
-
209 bias_add->dtype(fc->dtype());
-
210 add_origin(bias_add, get_origin(fc));
-
211 bias_add->fusedActivationFunction(fc->fusedActivationFunction());
-
212 loco::replace(fc).with(bias_add);
-
213 }
-
214 else
-
215 {
-
216 // NOTE bias doesn't exist or bias is all zero
-
217 auto n = fromActivation(reshape, fc->fusedActivationFunction());
-
218 add_origin(n, luci::get_origin(fc));
-
219 n->name(fc->name() + "fusedActivation");
-
220 n->dtype(fc->dtype());
-
221 loco::replace(fc).with(n);
-
222 }
-
223
-
224 return true;
-
225}
-
226} // namespace
-
227
-
228namespace luci
-
229{
-
230
-
- -
232{
-
233 bool changed = false;
-
234 for (auto node : loco::active_nodes(loco::output_nodes(g)))
-
235 {
-
236 if (auto fc = dynamic_cast<luci::CircleFullyConnected *>(node))
-
237 {
-
238 if (replace_fc_with_matmul(fc))
-
239 changed = true;
-
240 }
-
241 }
-
242
-
243 return changed;
-
244}
+
141 // NOTE For const inputs, it is possible to block this conversion,
+
142 // because we can make transposed FC rather than matmul to improve
+
143 // accuracy of quantized models by sacrificing latency.
+
144 // See https://github.com/Samsung/ONE/discussions/11941 for more details.
+
145
+
146 if ((ty = dynamic_cast<luci::CircleTranspose *>(fc->weights()))) // is y a transpose?
+
147 {
+
148 adj_y = false;
+
149 if (dynamic_cast<luci::CircleConst *>(ty->a()))
+
150 return false;
+
151 else
+
152 y = loco::must_cast<luci::CircleNode *>(ty->a());
+
153 }
+
154 else
+
155 { // y is not transpose and not const
+
156 y = loco::must_cast<luci::CircleNode *>(fc->weights());
+
157 }
+
158 if ((tx = dynamic_cast<luci::CircleTranspose *>(fc->input())))
+
159 {
+
160 adj_x = true;
+
161 x = loco::must_cast<luci::CircleNode *>(tx->a());
+
162 }
+
163 else
+
164 {
+
165 x = loco::must_cast<luci::CircleNode *>(fc->input());
+
166 }
+
167
+
168 if (x->dtype() != loco::DataType::FLOAT32 || y->dtype() != loco::DataType::FLOAT32)
+
169 return false;
+
170
+
171 auto bc = dynamic_cast<luci::CircleConst *>(fc->bias());
+
172 // NOTE bias can be empty as CircleOutputExclude type
+
173 // NOTE we can only handle bias as FLOAT32 type as of now
+
174 if (nullptr != bc && bc->dtype() != loco::DataType::FLOAT32)
+
175 return false;
+
176
+
177 auto name = fc->name();
+
178 assert(name.length() > 0);
+
179
+
180 auto matmul = fc->graph()->nodes()->create<luci::CircleBatchMatMul>();
+
181 matmul->x(x);
+
182 matmul->y(y);
+
183 matmul->adj_x(adj_x);
+
184 matmul->adj_y(adj_y);
+
185 matmul->name(name);
+
186 matmul->dtype(fc->dtype());
+
187
+
188 luci::add_origin(matmul, luci::get_origin(fc));
+
189
+
190 auto reshape = create_reshape(fc);
+
191 reshape->tensor(matmul);
+
192
+
193 auto all_zero = [](const luci::CircleConst *c) {
+
194 bool ac = true;
+
195 for (uint32_t i = 0; i < c->size<loco::DataType::FLOAT32>() && ac; i++)
+
196 {
+
197 ac &= c->at<loco::DataType::FLOAT32>(i) == 0.0f;
+
198 }
+
199 return ac;
+
200 };
+
201
+
202 if (nullptr != bc && !all_zero(bc))
+
203 {
+
204 auto bias_add = fc->graph()->nodes()->create<luci::CircleAdd>();
+
205 bias_add->x(reshape);
+
206 bias_add->y(bc);
+
207 bias_add->name(fc->name() + "/bias_add");
+
208 bias_add->dtype(fc->dtype());
+
209 add_origin(bias_add, get_origin(fc));
+
210 bias_add->fusedActivationFunction(fc->fusedActivationFunction());
+
211 loco::replace(fc).with(bias_add);
+
212 }
+
213 else
+
214 {
+
215 // NOTE bias doesn't exist or bias is all zero
+
216 auto n = fromActivation(reshape, fc->fusedActivationFunction());
+
217 add_origin(n, luci::get_origin(fc));
+
218 n->name(fc->name() + "fusedActivation");
+
219 n->dtype(fc->dtype());
+
220 loco::replace(fc).with(n);
+
221 }
+
222
+
223 return true;
+
224}
+
225} // namespace
+
226
+
227namespace luci
+
228{
+
229
+
+ +
231{
+
232 bool changed = false;
+
233 for (auto node : loco::active_nodes(loco::output_nodes(g)))
+
234 {
+
235 if (auto fc = dynamic_cast<luci::CircleFullyConnected *>(node))
+
236 {
+
237 if (replace_fc_with_matmul(fc))
+
238 changed = true;
+
239 }
+
240 }
+
241
+
242 return changed;
+
243}
-
245
-
246} // namespace luci
+
244
+
245} // namespace luci
A neural network graph.
Definition Graph.h:161
@@ -361,7 +360,7 @@
NodeName name(void) const
ShapeStatus shape_status(void) const
- +
diff --git a/_replace_non_const_f_c_with_batch_mat_mul_pass_8h_source.html b/_replace_non_const_f_c_with_batch_mat_mul_pass_8h_source.html index 8d36ba176c6..c3d4d52b905 100644 --- a/_replace_non_const_f_c_with_batch_mat_mul_pass_8h_source.html +++ b/_replace_non_const_f_c_with_batch_mat_mul_pass_8h_source.html @@ -139,7 +139,7 @@
Class to replace "FC with non-const weight" with Batched MatMul.
- +
diff --git a/_resolve_custom_op_add_pass_8cpp_source.html b/_resolve_custom_op_add_pass_8cpp_source.html index c339f7aa603..03df40d5183 100644 --- a/_resolve_custom_op_add_pass_8cpp_source.html +++ b/_resolve_custom_op_add_pass_8cpp_source.html @@ -167,107 +167,109 @@
70 return -1;
71}
72
-
88bool resolve_with_BroadcastTo(luci::CircleCustom *addv2)
-
89{
-
90 int32_t broadcastTo_idx = get_broadcastTo_index_among_inputs_of(addv2);
-
91
-
92 if (broadcastTo_idx == -1)
-
93 return false;
-
94
-
95 auto input = loco::must_cast<const luci::CircleCustomOut *>(addv2->inputs(broadcastTo_idx));
-
96 auto broadcastTo = loco::must_cast<luci::CircleCustom *>(input->input());
-
97
-
98 auto name = addv2->name();
-
99 assert(name.length() > 0);
-
100
-
101 auto add = addv2->graph()->nodes()->create<luci::CircleAdd>();
-
102 add->fusedActivationFunction(luci::FusedActFunc::NONE);
-
103 add->x(addv2->inputs(1 - broadcastTo_idx));
-
104 add->y(broadcastTo->inputs(0));
-
105 add->name(name + "/Add");
-
106 luci::add_origin(
-
107 add, luci::composite_origin({luci::get_origin(broadcastTo), luci::get_origin(addv2)}));
-
108
-
109 auto customOut = loco::succs(addv2);
-
110 assert(customOut.size() == 1);
-
111 replace(*customOut.begin()).with(add);
-
112
-
113 return true;
-
114}
-
115
-
116bool resolve_custom_op(luci::CircleCustom *addv2)
-
117{
-
118 const std::string custom_code = addv2->custom_code();
-
119 const std::vector<uint8_t> custom_options = addv2->custom_options();
-
120
-
121 if (custom_code != "AddV2")
-
122 return false;
-
123
-
124 if (addv2->numInputs() != 2)
-
125 return false;
-
126
-
127 // check if inputs are suppport data types
-
128 for (uint32_t i = 0; i < addv2->numInputs(); i++)
-
129 {
-
130 auto input = loco::must_cast<luci::CircleNode *>(addv2->inputs(i));
-
131 switch (input->dtype())
-
132 {
-
133 case loco::DataType::U8:
-
134 case loco::DataType::S8:
-
135 case loco::DataType::S16:
-
136 case loco::DataType::S32:
-
137 case loco::DataType::FLOAT32:
-
138 break;
-
139 default:
-
140 return false;
-
141 }
-
142 }
-
143
-
144 if (resolve_with_BroadcastTo(addv2))
-
145 return true;
-
146
-
147 auto name = addv2->name();
-
148 assert(name.length() > 0);
-
149
-
150 auto add = addv2->graph()->nodes()->create<luci::CircleAdd>();
-
151 add->fusedActivationFunction(luci::FusedActFunc::NONE);
-
152 add->x(addv2->inputs(0));
-
153 add->y(addv2->inputs(1));
-
154 add->name(name + "/Add");
-
155 luci::add_origin(add, luci::get_origin(addv2));
-
156
-
157 auto customOut = loco::succs(addv2);
-
158 assert(customOut.size() == 1);
-
159 replace(*customOut.begin()).with(add);
-
160
-
161 return true;
-
162}
-
163
-
164} // namespace
+
73// NOTE Broadcasting of input `Const` is skipped cause `Add` will do the broadcasting.
+
74// TODO Implement broadcasting to the `Const` input.
+
90bool resolve_with_BroadcastTo(luci::CircleCustom *addv2)
+
91{
+
92 int32_t broadcastTo_idx = get_broadcastTo_index_among_inputs_of(addv2);
+
93
+
94 if (broadcastTo_idx == -1)
+
95 return false;
+
96
+
97 auto input = loco::must_cast<const luci::CircleCustomOut *>(addv2->inputs(broadcastTo_idx));
+
98 auto broadcastTo = loco::must_cast<luci::CircleCustom *>(input->input());
+
99
+
100 auto name = addv2->name();
+
101 assert(name.length() > 0);
+
102
+
103 auto add = addv2->graph()->nodes()->create<luci::CircleAdd>();
+
104 add->fusedActivationFunction(luci::FusedActFunc::NONE);
+
105 add->x(addv2->inputs(1 - broadcastTo_idx));
+
106 add->y(broadcastTo->inputs(0));
+
107 add->name(name + "/Add");
+
108 luci::add_origin(
+
109 add, luci::composite_origin({luci::get_origin(broadcastTo), luci::get_origin(addv2)}));
+
110
+
111 auto customOut = loco::succs(addv2);
+
112 assert(customOut.size() == 1);
+
113 replace(*customOut.begin()).with(add);
+
114
+
115 return true;
+
116}
+
117
+
118bool resolve_custom_op(luci::CircleCustom *addv2)
+
119{
+
120 const std::string custom_code = addv2->custom_code();
+
121 const std::vector<uint8_t> custom_options = addv2->custom_options();
+
122
+
123 if (custom_code != "AddV2")
+
124 return false;
+
125
+
126 if (addv2->numInputs() != 2)
+
127 return false;
+
128
+
129 // check if inputs are suppport data types
+
130 for (uint32_t i = 0; i < addv2->numInputs(); i++)
+
131 {
+
132 auto input = loco::must_cast<luci::CircleNode *>(addv2->inputs(i));
+
133 switch (input->dtype())
+
134 {
+
135 case loco::DataType::U8:
+
136 case loco::DataType::S8:
+
137 case loco::DataType::S16:
+
138 case loco::DataType::S32:
+
139 case loco::DataType::FLOAT32:
+
140 break;
+
141 default:
+
142 return false;
+
143 }
+
144 }
+
145
+
146 if (resolve_with_BroadcastTo(addv2))
+
147 return true;
+
148
+
149 auto name = addv2->name();
+
150 assert(name.length() > 0);
+
151
+
152 auto add = addv2->graph()->nodes()->create<luci::CircleAdd>();
+
153 add->fusedActivationFunction(luci::FusedActFunc::NONE);
+
154 add->x(addv2->inputs(0));
+
155 add->y(addv2->inputs(1));
+
156 add->name(name + "/Add");
+
157 luci::add_origin(add, luci::get_origin(addv2));
+
158
+
159 auto customOut = loco::succs(addv2);
+
160 assert(customOut.size() == 1);
+
161 replace(*customOut.begin()).with(add);
+
162
+
163 return true;
+
164}
165
-
166namespace luci
-
167{
-
168
-
- -
170{
-
171 bool changed = false;
-
172
-
173 for (auto node : loco::active_nodes(loco::output_nodes(g)))
-
174 {
-
175 auto cop = dynamic_cast<luci::CircleCustom *>(node);
-
176 if (not cop)
-
177 continue;
-
178
-
179 if (resolve_custom_op(cop))
-
180 changed = true;
-
181 }
-
182
-
183 return changed;
-
184}
+
166} // namespace
+
167
+
168namespace luci
+
169{
+
170
+
+ +
172{
+
173 bool changed = false;
+
174
+
175 for (auto node : loco::active_nodes(loco::output_nodes(g)))
+
176 {
+
177 auto cop = dynamic_cast<luci::CircleCustom *>(node);
+
178 if (not cop)
+
179 continue;
+
180
+
181 if (resolve_custom_op(cop))
+
182 changed = true;
+
183 }
+
184
+
185 return changed;
+
186}
-
185
-
186} // namespace luci
+
187
+
188} // namespace luci
@@ -298,7 +300,7 @@
NodeName name(void) const
-
bool run(loco::Graph *g) final
Run the pass.
+
bool run(loco::Graph *g) final
Run the pass.
diff --git a/_resolve_custom_op_add_pass_8h_source.html b/_resolve_custom_op_add_pass_8h_source.html index ae11e1884c4..85adc55deae 100644 --- a/_resolve_custom_op_add_pass_8h_source.html +++ b/_resolve_custom_op_add_pass_8h_source.html @@ -139,7 +139,7 @@
Class to resolve certain custom op of subgraph into add op in circle schema.
const char * name(void) const final
-
bool run(loco::Graph *g) final
Run the pass.
+
bool run(loco::Graph *g) final
Run the pass.
diff --git a/_safe_main_8cpp.html b/_safe_main_8cpp.html index 863f130a515..49b6c5f6468 100644 --- a/_safe_main_8cpp.html +++ b/_safe_main_8cpp.html @@ -179,7 +179,7 @@

-

Definition at line 53 of file Driver.cpp.

+

Definition at line 53 of file Driver.cpp.

54{
55 arser::Arser arser("Compare inference results of two circle models");
56
@@ -318,9 +318,9 @@

Definition arser.h:38
-

References add_switch(), arser::Helper::add_verbose(), arser::Helper::add_version(), luci::apply(), luci::change_outputs(), circle_planner::ExecutionPlanner::change_planning_mode(), circle_planner::CMSISNN, cirops::DumpOption::codes, circle_planner::COMMON, circlechef::cook(), tflchef::cook(), circle_planner::ExecutionPlanner::create_json_allocation_file(), csv_tokenize(), luci::UserSettings::DisableValidation, minmax_embedder_test::H5Writer::dump(), dump(), luci::dynamic_batch_to_single_batch(), minmax_embedder::Embedder::embed(), entry_stream(), circle_eval_diff::CircleEvalDiff::evalDiff(), partee::export_part_conn_ini(), partee::export_part_conn_json(), opselector::exportModule(), circlechef::generate_recipe(), tflchef::generate_recipe(), luci::GraphBuilderRegistry::get(), SolverOutput::get(), partee::get_filename_ext(), mpqsolver::core::Quantizer::Context::granularity, handle_segfault(), handleAutoAlgorithm(), opselector::ID, luci::Importer::importModule(), INFO, circle_eval_diff::CircleEvalDiff::init(), record_minmax::RecordMinMax::initialize(), loco::input_nodes(), mpqsolver::core::Quantizer::Context::input_type, luci::CircleExporter::invoke(), circle_planner::LINUX, foder::FileLoader::load(), prunner::PModelsRunner::load_config(), prunner::PModelsRunner::load_inputs(), LOGGER, circle_planner::LUCI_INTERPRETER, circle_planner::ExecutionPlanner::make_execution_plan(), partee::make_path(), circle_planner::MCU, luci::UserSettings::MuteWarnings, minmax_embedder_test::ModelSpec::n_inputs, opselector::NAME, luci::CircleNode::name(), cirops::DumpOption::names, circle_planner::ONERT_MICRO, luci::CircleOptimizer::optimize(), luci::CircleOptimizer::options(), luci::CircleQuantizer::options(), mpqsolver::core::Quantizer::Context::output_model_dtype, loco::output_nodes(), mpqsolver::core::Quantizer::Context::output_type, print_exclusive_options(), print_version(), record_minmax::RecordMinMax::profileData(), record_minmax::RecordMinMax::profileDataInParallel(), record_minmax::RecordMinMax::profileDataWithRandomInputs(), record_minmax::RecordMinMax::profileRawData(), record_minmax::RecordMinMax::profileRawDataDirectory(), luci::UserSettings::ProfilingDataGen, mpqsolver::pattern::Q8LayerNormWithQ16Variance, mpqsolver::pattern::Q8SoftmaxWithQ16SubExp, luci::CircleQuantizer::quantize(), partee::read(), read_layer_params(), read_layer_params_set(), cirops::DumpOperators::run(), prunner::PModelsRunner::run(), mpqsolver::core::Quantizer::Context::save_min_max, prunner::PModelsRunner::save_outputs(), record_minmax::RecordMinMax::saveModel(), luci::UserSettings::settings(), loco::size(), size, luci_interpreter::source_without_constant_copying(), luci::CircleOptimizer::sparsify(), circle_planner::SPLIT, test_data, mpqsolver::core::Quantizer::Context::TF_style_maxpool, luci::validate(), luci::validate_shape(), value_grpname(), q_implant::QImplant::write(), circlechef::write_recipe(), and tflchef::write_recipe().

+

References add_switch(), arser::Helper::add_verbose(), arser::Helper::add_version(), luci::apply(), luci::change_outputs(), circle_planner::ExecutionPlanner::change_planning_mode(), circle_planner::CMSISNN, cirops::DumpOption::codes, circle_planner::COMMON, circlechef::cook(), tflchef::cook(), circle_planner::ExecutionPlanner::create_json_allocation_file(), csv_tokenize(), luci::UserSettings::DisableValidation, minmax_embedder_test::H5Writer::dump(), dump(), luci::dynamic_batch_to_single_batch(), minmax_embedder::Embedder::embed(), entry_stream(), circle_eval_diff::CircleEvalDiff::evalDiff(), partee::export_part_conn_ini(), partee::export_part_conn_json(), opselector::exportModule(), circlechef::generate_recipe(), tflchef::generate_recipe(), luci::GraphBuilderRegistry::get(), SolverOutput::get(), partee::get_filename_ext(), mpqsolver::core::Quantizer::Context::granularity, handle_segfault(), handleAutoAlgorithm(), opselector::ID, luci::Importer::importModule(), INFO, circle_eval_diff::CircleEvalDiff::init(), record_minmax::RecordMinMax::initialize(), loco::input_nodes(), mpqsolver::core::Quantizer::Context::input_type, luci::CircleExporter::invoke(), circle_planner::LINUX, foder::FileLoader::load(), prunner::PModelsRunner::load_config(), prunner::PModelsRunner::load_inputs(), LOGGER, circle_planner::LUCI_INTERPRETER, circle_planner::ExecutionPlanner::make_execution_plan(), partee::make_path(), circle_planner::MCU, luci::UserSettings::MuteWarnings, minmax_embedder_test::ModelSpec::n_inputs, opselector::NAME, luci::CircleNode::name(), cirops::DumpOption::names, circle_planner::ONERT_MICRO, luci::CircleOptimizer::optimize(), luci::CircleOptimizer::options(), luci::CircleQuantizer::options(), mpqsolver::core::Quantizer::Context::output_model_dtype, loco::output_nodes(), mpqsolver::core::Quantizer::Context::output_type, print_exclusive_options(), print_version(), record_minmax::RecordMinMax::profileData(), record_minmax::RecordMinMax::profileDataInParallel(), record_minmax::RecordMinMax::profileDataWithRandomInputs(), record_minmax::RecordMinMax::profileRawData(), record_minmax::RecordMinMax::profileRawDataDirectory(), luci::UserSettings::ProfilingDataGen, mpqsolver::pattern::Q8LayerNormWithQ16Variance, mpqsolver::pattern::Q8SoftmaxWithQ16SubExp, luci::CircleQuantizer::quantize(), partee::read(), read_layer_params(), read_layer_params_set(), cirops::DumpOperators::run(), prunner::PModelsRunner::run(), mpqsolver::core::Quantizer::Context::save_min_max, prunner::PModelsRunner::save_outputs(), record_minmax::RecordMinMax::saveModel(), luci::UserSettings::settings(), loco::size(), size, luci_interpreter::source_without_constant_copying(), luci::CircleOptimizer::sparsify(), circle_planner::SPLIT, test_data, mpqsolver::core::Quantizer::Context::TF_style_maxpool, luci::validate(), luci::validate_shape(), value_grpname(), q_implant::QImplant::write(), circlechef::write_recipe(), and tflchef::write_recipe().

-

Referenced by souschef::Registry< T >::add(), ModelBuilder::addOperation(), onert::backend::acl_common::AclTensorBuilder< T_ITensor, T_Tensor, T_SubTensor >::allocate(), onert::backend::gpu_cl::TensorBuilder::allocate(), onert::backend::cl_common::createLifetimeMap(), circle_eval_diff::DirectoryLoader::DirectoryLoader(), onert::compiler::HEScheduler::HEScheduler(), npud::core::DevManager::loadModules(), main(), nnkit::make_backend_plugin(), circledump::SourceTablePrinter::print(), circledump::OpTablePrinter::print(), and record_minmax::RecordMinMax::profileRawDataDirectory().

+

Referenced by souschef::Registry< T >::add(), ModelBuilder::addOperation(), onert::backend::acl_common::AclTensorBuilder< T_ITensor, T_Tensor, T_SubTensor >::allocate(), onert::backend::gpu_cl::TensorBuilder::allocate(), onert::backend::cl_common::createLifetimeMap(), circle_eval_diff::DirectoryLoader::DirectoryLoader(), onert::compiler::HEScheduler::HEScheduler(), npud::core::DevManager::loadModules(), main(), nnkit::make_backend_plugin(), circledump::SourceTablePrinter::print(), circledump::OpTablePrinter::print(), and record_minmax::RecordMinMax::profileRawDataDirectory().

@@ -356,9 +356,9 @@

40 // check the stacktrace with a debugger
41 return entry(argc, argv);
42}
-
int entry(int argc, char **argv)
Dump IR for given arguments.
Definition Driver.cpp:53
+
int entry(int argc, char **argv)
Dump IR for given arguments.
Definition Driver.cpp:53
-

References entry().

+

References entry().

diff --git a/_safe_main_8cpp_source.html b/_safe_main_8cpp_source.html index 65460f3140c..a355d67652c 100644 --- a/_safe_main_8cpp_source.html +++ b/_safe_main_8cpp_source.html @@ -119,7 +119,7 @@
20int entry(int argc, char **argv);
21
22#ifdef NDEBUG
-
23int main(int argc, char **argv)
+
23int main(int argc, char **argv)
24{
25 try
26 {
@@ -134,7 +134,7 @@
35}
36#else // NDEBUG
-
37int main(int argc, char **argv)
+
37int main(int argc, char **argv)
38{
39 // NOTE main does not catch internal exceptions for debug build to make it easy to
40 // check the stacktrace with a debugger
@@ -142,8 +142,8 @@
42}
43#endif // !NDEBUG
-
int entry(int argc, char **argv)
Dump IR for given arguments.
Definition Driver.cpp:53
-
int main()
Definition main.cpp:58
+
int entry(int argc, char **argv)
Dump IR for given arguments.
Definition Driver.cpp:53
+
int main()
Definition main.cpp:58
diff --git a/_shape_inference_rule_8h_source.html b/_shape_inference_rule_8h_source.html index 45f39532e77..ac81c720aa0 100644 --- a/_shape_inference_rule_8h_source.html +++ b/_shape_inference_rule_8h_source.html @@ -177,7 +177,7 @@
90
91 // WARNING! Invoke this method only when API v2 is supported
-
92 virtual void infer(const Context *, const Node *, Sink *) const;
+
92 virtual void infer(const Context *, const Node *, Sink *) const;
93};
94
@@ -192,7 +192,7 @@ -
std::vector< float > infer()
Definition main.cpp:25
+
std::vector< float > infer()
Definition main.cpp:25
virtual bool known(const Node *node) const =0
diff --git a/_softmax_8float_8cpp.html b/_softmax_8float_8cpp.html index 0e3b094f2dc..52aabb242c0 100644 --- a/_softmax_8float_8cpp.html +++ b/_softmax_8float_8cpp.html @@ -243,11 +243,11 @@

54
55 Shape shapeIn4D;
56 shapeIn4D.dimensions = {batch_size, 1, 1, input_size};
-
57 dim = convertShapeToDims(shapeIn4D);
+
57 dim = convertShapeToDims(shapeIn4D);
58 }
59 else if (getNumberOfDimensions(inputShape) == 4)
60 {
-
61 dim = convertShapeToDims(inputShape);
+
61 dim = convertShapeToDims(inputShape);
62 }
63 else
64 {
@@ -259,16 +259,16 @@

70 return true;
71}
void Softmax(const float *input_data, const Dims< 4 > &input_dims, float beta, float *output_data, const Dims< 4 > &output_dims)
-
Dims< 4 > convertShapeToDims(const Shape &shape)
Definition Dims.h:31
+
Dims< 4 > convertShapeToDims(const Shape &shape)
Definition Dims.h:31
#define LOG(...)
Definition Logging.h:36
uint32_t getNumberOfElements(const Shape &shape)
Definition Shape.cpp:48
uint32_t getSizeOfDimension(const Shape &shape, uint32_t dimensionIdx)
Definition Shape.cpp:60
uint32_t getNumberOfDimensions(const Shape &shape)
Definition Shape.cpp:58
-
Definition Dims.h:26
+
Definition Dims.h:26
Definition Shape.h:28
std::vector< uint32_t > dimensions
Definition Shape.h:30
-

References convertShapeToDims(), Shape::dimensions, getNumberOfDimensions(), getNumberOfElements(), getSizeOfDimension(), LOG, and Softmax().

+

References convertShapeToDims(), Shape::dimensions, getNumberOfDimensions(), getNumberOfElements(), getSizeOfDimension(), LOG, and Softmax().

diff --git a/_softmax_8float_8cpp_source.html b/_softmax_8float_8cpp_source.html index 37028c34ec6..d424e78613a 100644 --- a/_softmax_8float_8cpp_source.html +++ b/_softmax_8float_8cpp_source.html @@ -156,11 +156,11 @@
54
55 Shape shapeIn4D;
56 shapeIn4D.dimensions = {batch_size, 1, 1, input_size};
-
57 dim = convertShapeToDims(shapeIn4D);
+
57 dim = convertShapeToDims(shapeIn4D);
58 }
59 else if (getNumberOfDimensions(inputShape) == 4)
60 {
-
61 dim = convertShapeToDims(inputShape);
+
61 dim = convertShapeToDims(inputShape);
62 }
63 else
64 {
@@ -177,14 +177,14 @@
void Softmax(const float *input_data, const Dims< 4 > &input_dims, float beta, float *output_data, const Dims< 4 > &output_dims)
bool softmaxFloat32(const float *inputData, const Shape &inputShape, const float beta, float *outputData, const Shape &outputShape)
-
Dims< 4 > convertShapeToDims(const Shape &shape)
Definition Dims.h:31
+
Dims< 4 > convertShapeToDims(const Shape &shape)
Definition Dims.h:31
#define LOG(...)
Definition Logging.h:36
uint32_t getNumberOfElements(const Shape &shape)
Definition Shape.cpp:48
uint32_t getSizeOfDimension(const Shape &shape, uint32_t dimensionIdx)
Definition Shape.cpp:60
uint32_t getNumberOfDimensions(const Shape &shape)
Definition Shape.cpp:58
int MatchingArraySize(const ArrayType1 &array1, int index1, const ArrayType2 &array2, int index2)
Definition Array.h:31
-
Definition Dims.h:26
+
Definition Dims.h:26
Definition Shape.h:28
std::vector< uint32_t > dimensions
Definition Shape.h:30
diff --git a/_softmax_8float_8h.html b/_softmax_8float_8h.html index 65a5fa75013..cd1b504004e 100644 --- a/_softmax_8float_8h.html +++ b/_softmax_8float_8h.html @@ -159,11 +159,11 @@

54
55 Shape shapeIn4D;
56 shapeIn4D.dimensions = {batch_size, 1, 1, input_size};
-
57 dim = convertShapeToDims(shapeIn4D);
+
57 dim = convertShapeToDims(shapeIn4D);
58 }
59 else if (getNumberOfDimensions(inputShape) == 4)
60 {
-
61 dim = convertShapeToDims(inputShape);
+
61 dim = convertShapeToDims(inputShape);
62 }
63 else
64 {
@@ -175,16 +175,16 @@

70 return true;
71}
void Softmax(const float *input_data, const Dims< 4 > &input_dims, float beta, float *output_data, const Dims< 4 > &output_dims)
-
Dims< 4 > convertShapeToDims(const Shape &shape)
Definition Dims.h:31
+
Dims< 4 > convertShapeToDims(const Shape &shape)
Definition Dims.h:31
#define LOG(...)
Definition Logging.h:36
uint32_t getNumberOfElements(const Shape &shape)
Definition Shape.cpp:48
uint32_t getSizeOfDimension(const Shape &shape, uint32_t dimensionIdx)
Definition Shape.cpp:60
uint32_t getNumberOfDimensions(const Shape &shape)
Definition Shape.cpp:58
-
Definition Dims.h:26
+
Definition Dims.h:26
Definition Shape.h:28
std::vector< uint32_t > dimensions
Definition Shape.h:30
-

References convertShapeToDims(), Shape::dimensions, getNumberOfDimensions(), getNumberOfElements(), getSizeOfDimension(), LOG, and Softmax().

+

References convertShapeToDims(), Shape::dimensions, getNumberOfDimensions(), getNumberOfElements(), getSizeOfDimension(), LOG, and Softmax().

diff --git a/_static_backward_shape_inferer_8cc_source.html b/_static_backward_shape_inferer_8cc_source.html index 338b413e746..cfc18de4ab0 100644 --- a/_static_backward_shape_inferer_8cc_source.html +++ b/_static_backward_shape_inferer_8cc_source.html @@ -259,9 +259,9 @@
void infer(void)
Infer shape of operands belonging to ops and set the output shape. If output shape cannot be known wi...
std::vector< ir::OperationIndex > topolSortOperations() const
Definition Graph.cc:184
const Operands & operands() const override
Definition Graph.h:113
-
const ITrainableOperation & operation(OperationIndex index) const
+
const ITrainableOperation & operation(OperationIndex index) const
const Operands & backward_operands() const
-
void changeBackwardShape(const OperandIndex &ind, const ir::Shape &new_shape)
+
void changeBackwardShape(const OperandIndex &ind, const ir::Shape &new_shape)
const Object & at(const Index &index) const
Get the object that is associated with the given index.
#define UNUSED_RELEASE(a)
Definition Shape.h:26
diff --git a/_string_utils_8cpp_source.html b/_string_utils_8cpp_source.html index f0c5898d7f5..b64d1a85fc5 100644 --- a/_string_utils_8cpp_source.html +++ b/_string_utils_8cpp_source.html @@ -173,7 +173,7 @@
const std::string toString(luci::CircleOpcode opcode)
- + diff --git a/_string_utils_8h.html b/_string_utils_8h.html index 25347f3bf56..8a1a1c12f76 100644 --- a/_string_utils_8h.html +++ b/_string_utils_8h.html @@ -95,7 +95,7 @@
StringUtils.h File Reference
-
#include <luci/IR/CircleOpcode.h>
+
#include <luci/IR/CircleOpcode.h>
#include <luci/IR/AttrFusedActFunc.h>
#include <string>
diff --git a/_string_utils_8h_source.html b/_string_utils_8h_source.html index dee3308f57b..91a4f348b30 100644 --- a/_string_utils_8h_source.html +++ b/_string_utils_8h_source.html @@ -116,7 +116,7 @@
17#ifndef __DALGONA_STRING_UTILS_H__
18#define __DALGONA_STRING_UTILS_H__
19
- +
22
23#include <string>
@@ -132,10 +132,10 @@
33
34#endif // __DALGONA_STRING_UTILS_H__
- +
const std::string toString(luci::CircleOpcode opcode)
- +
diff --git a/_sub_8float_8cpp.html b/_sub_8float_8cpp.html index e3f1ac38fe6..97b1131c8e3 100644 --- a/_sub_8float_8cpp.html +++ b/_sub_8float_8cpp.html @@ -139,9 +139,9 @@

Value:
BroadcastSub<FusedActivationFunctionType::activation>( \
-
in1, convertShapeToDims(shape1), in2, convertShapeToDims(shape2), out, \
-
convertShapeToDims(shapeOut))
-
Dims< 4 > convertShapeToDims(const Shape &shape)
Definition Dims.h:31
+
in1, convertShapeToDims(shape1), in2, convertShapeToDims(shape2), out, \
+
convertShapeToDims(shapeOut))
+
Dims< 4 > convertShapeToDims(const Shape &shape)
Definition Dims.h:31
@@ -160,9 +160,9 @@

-Value:
-
in2, convertShapeToDims(shape2), \
-
out, convertShapeToDims(shapeOut))
+Value:
Sub<FusedActivationFunctionType::activation>(in1, convertShapeToDims(shape1), \
+
in2, convertShapeToDims(shape2), \
+
out, convertShapeToDims(shapeOut))
@@ -236,15 +236,15 @@

75 // We name our variables by their Tensorflow convention, but generate C code
76 // nesting loops such that the innermost loop has the smallest stride for the
77 // best cache behavior.
-
78 for (int b = 0; b < ArraySize(output_dims, 3); ++b)
+
78 for (int b = 0; b < ArraySize(output_dims, 3); ++b)
79 {
-
80 for (int y = 0; y < ArraySize(output_dims, 2); ++y)
+
80 for (int y = 0; y < ArraySize(output_dims, 2); ++y)
81 {
-
82 for (int x = 0; x < ArraySize(output_dims, 1); ++x)
+
82 for (int x = 0; x < ArraySize(output_dims, 1); ++x)
83 {
-
84 for (int c = 0; c < ArraySize(output_dims, 0); ++c)
+
84 for (int c = 0; c < ArraySize(output_dims, 0); ++c)
85 {
-
86 output_data[Offset(output_dims, c, x, y, b)] =
+
86 output_data[Offset(output_dims, c, x, y, b)] =
87 ActivationFunction<Ac>(input1_data[SubscriptToIndex(desc1, c, x, y, b)] -
88 input2_data[SubscriptToIndex(desc2, c, x, y, b)]);
89 }
@@ -256,13 +256,13 @@

int SubscriptToIndex(const NdArrayDesc< 4 > &desc, int i0, int i1, int i2, int i3)
Definition NDArray.h:54
NdArrayDesc< 4 > desc1
NdArrayDesc< 4 > desc2
-
int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
Definition Dims.h:64
-
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
+
int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
Definition Dims.h:64
+
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
-

References ArraySize(), desc1, desc2, NdArrayDescsForElementwiseBroadcast(), Offset(), and SubscriptToIndex().

+

References ArraySize(), desc1, desc2, NdArrayDescsForElementwiseBroadcast(), Offset(), and SubscriptToIndex().

@@ -324,9 +324,9 @@

32 MatchingArraySize(input1_dims, 2, input2_dims, 2, output_dims, 2);
33 MatchingArraySize(input1_dims, 1, input2_dims, 1, output_dims, 1);
34 MatchingArraySize(input1_dims, 0, input2_dims, 0, output_dims, 0);
-
35 DCHECK(IsPackedWithoutStrides(input1_dims));
-
36 DCHECK(IsPackedWithoutStrides(input2_dims));
-
37 DCHECK(IsPackedWithoutStrides(output_dims));
+
35 DCHECK(IsPackedWithoutStrides(input1_dims));
+
36 DCHECK(IsPackedWithoutStrides(input2_dims));
+
37 DCHECK(IsPackedWithoutStrides(output_dims));
38
39 int i = 0;
40 const int size = input1_dims.sizes[3] * input1_dims.strides[3];
@@ -337,16 +337,16 @@

45 output_data[i] = ActivationFunction<Ac>(x);
46 }
47}
-
bool IsPackedWithoutStrides(const Dims< N > &dims)
Definition Dims.h:155
#define DCHECK(condition)
Definition Macro.h:25
+
bool IsPackedWithoutStrides(const Dims< N > &dims)
Definition Dims.h:155
int MatchingArraySize(const ArrayType1 &array1, int index1, const ArrayType2 &array2, int index2)
Definition Array.h:31
int32_t size[5]
Definition Slice.cpp:35
-
int sizes[N]
Definition Dims.h:27
-
int strides[N]
Definition Dims.h:28
+
int sizes[N]
Definition Dims.h:27
+
int strides[N]
Definition Dims.h:28
-

References DCHECK, IsPackedWithoutStrides(), MatchingArraySize(), size, Dims< N >::sizes, and Dims< N >::strides.

+

References DCHECK, IsPackedWithoutStrides(), MatchingArraySize(), size, Dims< N >::sizes, and Dims< N >::strides.

Referenced by mir_onnx::registerSupportedOps().

diff --git a/_sub_8float_8cpp_source.html b/_sub_8float_8cpp_source.html index cdedbf9ba75..580dabf8aa2 100644 --- a/_sub_8float_8cpp_source.html +++ b/_sub_8float_8cpp_source.html @@ -132,9 +132,9 @@
32 MatchingArraySize(input1_dims, 2, input2_dims, 2, output_dims, 2);
33 MatchingArraySize(input1_dims, 1, input2_dims, 1, output_dims, 1);
34 MatchingArraySize(input1_dims, 0, input2_dims, 0, output_dims, 0);
-
35 DCHECK(IsPackedWithoutStrides(input1_dims));
-
36 DCHECK(IsPackedWithoutStrides(input2_dims));
-
37 DCHECK(IsPackedWithoutStrides(output_dims));
+
35 DCHECK(IsPackedWithoutStrides(input1_dims));
+
36 DCHECK(IsPackedWithoutStrides(input2_dims));
+
37 DCHECK(IsPackedWithoutStrides(output_dims));
38
39 int i = 0;
40 const int size = input1_dims.sizes[3] * input1_dims.strides[3];
@@ -177,15 +177,15 @@
75 // We name our variables by their Tensorflow convention, but generate C code
76 // nesting loops such that the innermost loop has the smallest stride for the
77 // best cache behavior.
-
78 for (int b = 0; b < ArraySize(output_dims, 3); ++b)
+
78 for (int b = 0; b < ArraySize(output_dims, 3); ++b)
79 {
-
80 for (int y = 0; y < ArraySize(output_dims, 2); ++y)
+
80 for (int y = 0; y < ArraySize(output_dims, 2); ++y)
81 {
-
82 for (int x = 0; x < ArraySize(output_dims, 1); ++x)
+
82 for (int x = 0; x < ArraySize(output_dims, 1); ++x)
83 {
-
84 for (int c = 0; c < ArraySize(output_dims, 0); ++c)
+
84 for (int c = 0; c < ArraySize(output_dims, 0); ++c)
85 {
-
86 output_data[Offset(output_dims, c, x, y, b)] =
+
86 output_data[Offset(output_dims, c, x, y, b)] =
87 ActivationFunction<Ac>(input1_data[SubscriptToIndex(desc1, c, x, y, b)] -
88 input2_data[SubscriptToIndex(desc2, c, x, y, b)]);
89 }
@@ -240,17 +240,17 @@
void Sub(const float *input1_data, const Dims< 4 > &input1_dims, const float *input2_data, const Dims< 4 > &input2_dims, float *output_data, const Dims< 4 > &output_dims)
Definition Sub.float.cpp:28
bool subFloat32(const float *in1, const Shape &shape1, const float *in2, const Shape &shape2, int32_t activation, float *out, const Shape &shapeOut)
Definition Sub.float.cpp:95
-
int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
Definition Dims.h:64
-
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
-
bool IsPackedWithoutStrides(const Dims< N > &dims)
Definition Dims.h:155
#define DCHECK(condition)
Definition Macro.h:25
+
int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
Definition Dims.h:64
+
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
+
bool IsPackedWithoutStrides(const Dims< N > &dims)
Definition Dims.h:155
bool SameShape(const Shape &in1, const Shape &in2)
Definition Shape.cpp:22
int MatchingArraySize(const ArrayType1 &array1, int index1, const ArrayType2 &array2, int index2)
Definition Array.h:31
int32_t size[5]
Definition Slice.cpp:35
-
Definition Dims.h:26
-
int sizes[N]
Definition Dims.h:27
-
int strides[N]
Definition Dims.h:28
+
Definition Dims.h:26
+
int sizes[N]
Definition Dims.h:27
+
int strides[N]
Definition Dims.h:28
Definition Shape.h:28
diff --git a/_subnet_8cpp_source.html b/_subnet_8cpp_source.html index 059aa17baeb..354ecab1b39 100644 --- a/_subnet_8cpp_source.html +++ b/_subnet_8cpp_source.html @@ -545,7 +545,7 @@
Definition Bundle.h:26
void concat(std::ostream &os, const std::string &sep, It beg, It end)
Definition String.h:31
-
Dims< uint32_t > as_dims(const nncc::core::ADT::tensor::Shape &)
Definition dims.cpp:24
+
Dims< uint32_t > as_dims(const nncc::core::ADT::tensor::Shape &)
Definition dims.cpp:24
void Reverse(int axis, const Shape &input_shape, const Scalar *input_data, const Shape &, Scalar *output_data)
Definition Reverse.h:31
diff --git a/_t_f_l_shape_inference_rule_8h_source.html b/_t_f_l_shape_inference_rule_8h_source.html index 4cdf2e88fb3..2220a2786ed 100644 --- a/_t_f_l_shape_inference_rule_8h_source.html +++ b/_t_f_l_shape_inference_rule_8h_source.html @@ -125,7 +125,7 @@
26{
27 bool recognize(const loco::Dialect *) const final;
-
28 bool infer(const loco::Node *, loco::NodeShape &) const final;
+
28 bool infer(const loco::Node *, loco::NodeShape &) const final;
29};
30
@@ -137,7 +137,7 @@ -
std::vector< float > infer()
Definition main.cpp:25
+
std::vector< float > infer()
Definition main.cpp:25
bool recognize(const loco::Dialect *) const final
Return true if this rule recognizes a given dialect.
diff --git a/_t_f_l_type_inference_rule_8h_source.html b/_t_f_l_type_inference_rule_8h_source.html index f5fef7f49e6..b3e1145c8f6 100644 --- a/_t_f_l_type_inference_rule_8h_source.html +++ b/_t_f_l_type_inference_rule_8h_source.html @@ -126,7 +126,7 @@
29{
30 bool recognize(const loco::Dialect *) const final;
31
-
32 bool infer(const loco::Node *, loco::DataType &) const final;
+
32 bool infer(const loco::Node *, loco::DataType &) const final;
33};
34
@@ -138,7 +138,7 @@
Logical unit of computation.
Definition Node.h:54
DataType
"scalar" value type
Definition DataType.h:27
-
std::vector< float > infer()
Definition main.cpp:25
+
std::vector< float > infer()
Definition main.cpp:25
Type Inference Rule for TFLDialect.
bool recognize(const loco::Dialect *) const final
Return true if this rule recognizes a given dialect.
diff --git a/_t_f_shape_inference_helper_8h_source.html b/_t_f_shape_inference_helper_8h_source.html index 13e0d1a8df0..9d1cd1a0fbb 100644 --- a/_t_f_shape_inference_helper_8h_source.html +++ b/_t_f_shape_inference_helper_8h_source.html @@ -261,7 +261,7 @@
160
161 fill(p, in);
162
-
163 return infer(p, in);
+
163 return infer(p, in);
164 }
165
@@ -288,7 +288,7 @@
183
184 fill(p, in);
185
-
186 auto output = infer(p, in);
+
186 auto output = infer(p, in);
187
188 int64_t i_height = (int64_t)(output.height.value() - 1) * (int64_t)p.stride.height.value() +
189 (int64_t)p.effective_window.height.value() - (int64_t)p.input.height.value();
@@ -378,7 +378,7 @@
loco::FeatureShape as_feature_shape(const loco::NodeShape &nodeshape, const TFDataLayout &data_layout)
FeatureShapeUpdater update(loco::FeatureShape &feature_shape)
PlaneShape make_plane_shape(const loco::FeatureShape &feature_shape)
-
std::vector< float > infer()
Definition main.cpp:25
+
std::vector< float > infer()
Definition main.cpp:25
diff --git a/_t_f_shape_inference_rule_8cpp_source.html b/_t_f_shape_inference_rule_8cpp_source.html index 21407d240e5..53b594af718 100644 --- a/_t_f_shape_inference_rule_8cpp_source.html +++ b/_t_f_shape_inference_rule_8cpp_source.html @@ -963,7 +963,7 @@
859 ::compat::Context ctx;
860 ::compat::Sink sink;
861
-
862 infer(&ctx, node, &sink);
+
862 infer(&ctx, node, &sink);
863
864 assert(sink.status() == ::compat::Sink::Okay or sink.status() == ::compat::Sink::Fail);
865
@@ -1077,7 +1077,7 @@
loco::FeatureShape as_feature_shape(const loco::NodeShape &nodeshape, const TFDataLayout &data_layout)
FeatureShapeUpdater update(loco::FeatureShape &feature_shape)
PlaneShape make_plane_shape(const loco::FeatureShape &feature_shape)
-
std::vector< float > infer()
Definition main.cpp:25
+
std::vector< float > infer()
Definition main.cpp:25
int32_t size[5]
Definition Slice.cpp:35
int32_t begin[5]
Definition Slice.cpp:33
diff --git a/_t_f_shape_inference_rule_8h_source.html b/_t_f_shape_inference_rule_8h_source.html index 2a653a9de59..5adbea564e5 100644 --- a/_t_f_shape_inference_rule_8h_source.html +++ b/_t_f_shape_inference_rule_8h_source.html @@ -126,8 +126,8 @@
29{
30 bool support(const API &ver) const final;
31 bool recognize(const loco::Dialect *) const final;
-
32 bool infer(const loco::Node *, loco::NodeShape &) const final;
-
33 void infer(const Context *, const loco::Node *, Sink *) const final;
+
32 bool infer(const loco::Node *, loco::NodeShape &) const final;
+
33 void infer(const Context *, const loco::Node *, Sink *) const final;
34};
35
@@ -139,7 +139,7 @@
Logical unit of computation.
Definition Node.h:54
Definition Log.h:23
-
std::vector< float > infer()
Definition main.cpp:25
+
std::vector< float > infer()
Definition main.cpp:25
diff --git a/_t_f_type_inference_rule_8h_source.html b/_t_f_type_inference_rule_8h_source.html index 135efcb3425..86b7b294c02 100644 --- a/_t_f_type_inference_rule_8h_source.html +++ b/_t_f_type_inference_rule_8h_source.html @@ -125,7 +125,7 @@
29{
30 bool recognize(const loco::Dialect *) const final;
-
31 bool infer(const loco::Node *, loco::DataType &) const final;
+
31 bool infer(const loco::Node *, loco::DataType &) const final;
32};
33
@@ -137,7 +137,7 @@
Logical unit of computation.
Definition Node.h:54
DataType
"scalar" value type
Definition DataType.h:27
Definition Log.h:23
-
std::vector< float > infer()
Definition main.cpp:25
+
std::vector< float > infer()
Definition main.cpp:25
Type Inference Rule for TFDialect.
bool recognize(const loco::Dialect *) const final
Return true if this rule recognizes a given dialect.
diff --git a/_trainable_executor_8cc_source.html b/_trainable_executor_8cc_source.html index 61a5ec17e74..648e907b902 100644 --- a/_trainable_executor_8cc_source.html +++ b/_trainable_executor_8cc_source.html @@ -344,7 +344,7 @@
TrainableExecutor(std::unique_ptr< compiler::train::LoweredTrainableGraph > lowered_graph, backend::train::TrainableBackendContexts &&backend_contexts, const compiler::train::TensorRegistries &tensor_regs, compiler::train::TrainableCodeMap &&code_map, const std::vector< ir::OperationIndex > &forward_order, const std::vector< ir::OperationIndex > &backward_order, const util::TracingCtx *tracing_ctx, const ir::train::LossInfo &training_info)
Construct a new TrainableExecutor object.
void execute(const IODescription &desc) override
Execute with user-given input/output description (for primary subgraph)
void forward(const IODescription &desc, bool training)
-
OperandIndex getLossIndex(const IOIndex &pred_io_ind) const
+
OperandIndex getLossIndex(const IOIndex &pred_io_ind) const
const OperandIndexSequence & getOutputs() const override
const OperandIndexSequence & getInputs() const override
diff --git a/_trainable_graph_8cc.html b/_trainable_graph_8cc.html index d1fe104a907..13bae2562d2 100644 --- a/_trainable_graph_8cc.html +++ b/_trainable_graph_8cc.html @@ -98,6 +98,7 @@ #include "util/Utils.h"
#include "util/Set.h"
#include <algorithm>
+#include <map>
#include <misc/polymorphic_downcast.h>

Go to the source code of this file.

diff --git a/_trainable_graph_8cc_source.html b/_trainable_graph_8cc_source.html index 448b55d9962..f86870e8fbd 100644 --- a/_trainable_graph_8cc_source.html +++ b/_trainable_graph_8cc_source.html @@ -118,203 +118,270 @@
19#include "util/Set.h"
20
21#include <algorithm>
- -
23
-
24namespace onert
-
25{
-
26namespace ir
-
27{
-
28namespace train
-
29{
-
30
- -
32
-
- -
34 : _graph{tgraph._graph}, _backward_operands{tgraph._backward_operands}, _losses{tgraph._losses}
-
35{
-
36 tgraph.operations().iterate(
-
37 [&](const onert::ir::OperationIndex &index, const onert::ir::IOperation &op) {
-
38 replaceOperation(index, dynamic_cast<const ITrainableOperation &>(op).clone());
-
39 });
-
40}
+
22#include <map>
+ +
24
+
25namespace onert
+
26{
+
27namespace ir
+
28{
+
29namespace train
+
30{
+
31
+ +
33
+
+ +
35 : _graph{tgraph._graph}, _backward_operands{tgraph._backward_operands}, _losses{tgraph._losses}
+
36{
+
37 tgraph.operations().iterate(
+
38 [&](const onert::ir::OperationIndex &index, const onert::ir::IOperation &op) {
+
39 replaceOperation(index, dynamic_cast<const ITrainableOperation &>(op).clone());
+
40 });
+
41}
-
41
-
42TrainableGraph::TrainableGraph(const Graph &graph) : _graph{graph} {}
-
43
-
- -
45{
-
46 return _graph.addOperand(shape, type);
-
47}
+
42
+
43TrainableGraph::TrainableGraph(const Graph &graph) : _graph{graph} {}
+
44
+
+ +
46{
+
47 return _graph.addOperand(shape, type);
+
48}
-
48
-
-
49OperandIndex TrainableGraph::addOperand(OperandIndex index, std::unique_ptr<Operand> &&operand)
-
50{
-
51 return _graph.addOperand(index, std::move(operand));
-
52}
+
49
+
+
50OperandIndex TrainableGraph::addOperand(OperandIndex index, std::unique_ptr<Operand> &&operand)
+
51{
+
52 return _graph.addOperand(index, std::move(operand));
+
53}
-
53
-
-
54OperationIndex TrainableGraph::addOperation(std::unique_ptr<ITrainableOperation> &&operation)
-
55{
-
56 return _graph.addOperation(std::move(operation));
-
57}
+
54
+
+
55OperationIndex TrainableGraph::addOperation(std::unique_ptr<ITrainableOperation> &&operation)
+
56{
+
57 return _graph.addOperation(std::move(operation));
+
58}
-
58
-
- -
60 std::unique_ptr<ITrainableOperation> &&operation)
-
61{
-
62 return _graph.replaceOperation(index, std::move(operation));
-
63}
+
59
+
+ +
61 std::unique_ptr<ITrainableOperation> &&operation)
+
62{
+
63 return _graph.replaceOperation(index, std::move(operation));
+
64}
-
64
-
- -
66 std::unique_ptr<Operand> &&bwd_operand)
-
67{
-
68 return _backward_operands.push(std::move(bwd_operand), index);
-
69}
+
65
+
+ +
67 std::unique_ptr<Operand> &&bwd_operand)
+
68{
+
69 return _backward_operands.push(std::move(bwd_operand), index);
+
70}
-
70
-
-
71IOIndex TrainableGraph::getInputIndex(const std::string &name) const
-
72{
-
73 return _graph.getInputIndex(name);
-
74}
+
71
+
+
72IOIndex TrainableGraph::getInputIndex(const std::string &name) const
+
73{
+
74 return _graph.getInputIndex(name);
+
75}
-
75
-
-
76IOIndex TrainableGraph::getOutputIndex(const std::string &name) const
-
77{
-
78 return _graph.getOutputIndex(name);
-
79}
+
76
+
+
77IOIndex TrainableGraph::getOutputIndex(const std::string &name) const
+
78{
+
79 return _graph.getOutputIndex(name);
+
80}
-
80
-
-
81void TrainableGraph::changeShape(const OperandIndex &index, const ir::Shape &new_shape)
-
82{
-
83 _graph.changeShape(index, new_shape);
-
84}
+
81
+
+
82void TrainableGraph::changeShape(const OperandIndex &index, const ir::Shape &new_shape)
+
83{
+
84 _graph.changeShape(index, new_shape);
+
85}
-
85
-
- -
87{
-
88 assert(_backward_operands.exist(index));
-
89 _backward_operands.at(index).info().shape(new_shape);
-
90}
+
86
+
+ +
88{
+
89 assert(_backward_operands.exist(index));
+
90 _backward_operands.at(index).info().shape(new_shape);
+
91}
-
91
-
-
92void TrainableGraph::addInput(const OperandIndex &ind, const std::string &name)
-
93{
-
94 _graph.addInput(ind, name);
-
95}
+
92
+
+
93void TrainableGraph::addInput(const OperandIndex &ind, const std::string &name)
+
94{
+
95 _graph.addInput(ind, name);
+
96}
-
96
-
-
97void TrainableGraph::addOutput(const OperandIndex &ind, const std::string &name)
-
98{
-
99 _graph.addOutput(ind, name);
-
100}
+
97
+
+
98void TrainableGraph::addOutput(const OperandIndex &ind, const std::string &name)
+
99{
+
100 _graph.addOutput(ind, name);
+
101}
-
101
-
- -
103{
-
104 _graph.verify();
-
105
- -
107 try
-
108 {
-
109 UNUSED_RELEASE(dynamic_cast<const onert::ir::train::ITrainableOperation &>(op));
-
110 }
-
111 catch (const std::bad_cast &)
-
112 {
-
113 std::runtime_error("TrainableGraph: " + op.name() + " is not a trainable operation");
-
114 }
-
115 });
-
116}
+
102
+
+ +
104{
+
105 _graph.verify();
+
106
+ +
108 try
+
109 {
+
110 UNUSED_RELEASE(dynamic_cast<const onert::ir::train::ITrainableOperation &>(op));
+
111 }
+
112 catch (const std::bad_cast &)
+
113 {
+
114 throw std::runtime_error("TrainableGraph: " + op.name() + " is not a trainable operation");
+
115 }
+
116 });
+
117}
-
117
- -
119
- -
121
-
- -
123{
-
124 // NOTE Virtual inherited objects cannot be static_casted.
-
125 return dynamic_cast<const ITrainableOperation &>(_graph.operations().at(index));
-
126}
+
118
+ +
120
+ +
122
+
+ +
124{
+
125 // NOTE Virtual inherited objects cannot be static_casted.
+
126 return dynamic_cast<const ITrainableOperation &>(_graph.operations().at(index));
+
127}
-
127
-
-
128std::vector<ir::OperationIndex> TrainableGraph::topolSortOperations() const
-
129{
-
130 return _graph.topolSortOperations();
-
131}
+
128
+
129void TrainableGraph::validateTopologicalOrder(std::vector<ir::OperationIndex> order,
+
130 bool is_forward) const
+
131{
+
132 if (!is_forward)
+
133 std::reverse(order.begin(), order.end());
+
134
+
135 const std::string order_type = is_forward ? "forward" : "backward";
+
136
+
137 auto compare = [](const ir::OperationIndex &i, const ir::OperationIndex &j) -> bool {
+
138 return i.value() < j.value();
+
139 };
+
140
+
141 std::map<ir::OperationIndex, uint32_t, decltype(compare)> position(compare);
+
142 for (uint32_t p = 0; p < order.size(); ++p)
+
143 {
+
144 auto index = order[p];
+
145 // TODO: replace this with `std::map::contains` after C++20
+
146 if (position.find(index) != position.end())
+
147 throw std::runtime_error{"Invalid " + order_type + " topological order: duplicate node @" +
+
148 std::to_string(index.value())};
+
149
+
150 position[index] = p;
+
151 }
+
152
+
153 operations().iterate([&](const ir::OperationIndex &index, const ir::IOperation &op) {
+
154 if (position.count(index) == 0)
+
155 return;
+
156
+
157 uint32_t p = position[index];
+
158
+
159 for (const auto &output : op.getOutputs() | ir::Remove::DUPLICATED | ir::Remove::UNDEFINED)
+
160 {
+
161 const auto &operand = operands().at(output);
+
162 for (const auto &use : operand.getUses())
+
163 {
+
164 if (position.count(use) == 0)
+
165 continue;
+
166
+
167 uint32_t q = position[use];
+
168 if (p > q)
+
169 throw std::runtime_error{
+
170 "Invalid " + order_type + " topological order: inversion between @" +
+
171 std::to_string(index.value()) + " and @" + std::to_string(use.value())};
+
172 }
+
173 }
+
174 });
+
175}
+
176
+
177void TrainableGraph::validateForwardTopologicalOrder(
+
178 const std::vector<ir::OperationIndex> &order) const
+
179{
+
180 validateTopologicalOrder(order, true);
+
181}
+
182
+
183void TrainableGraph::validateBackwardTopologicalOrder(
+
184 const std::vector<ir::OperationIndex> &order) const
+
185{
+
186 validateTopologicalOrder(order, false);
+
187}
+
188
+
+
189std::vector<ir::OperationIndex> TrainableGraph::topolSortOperations() const
+
190{
+
191 auto ret = _graph.topolSortOperations();
+
192 validateForwardTopologicalOrder(ret);
+
193
+
194 return ret;
+
195}
-
132
-
-
133std::vector<ir::OperationIndex> TrainableGraph::btopolSortOperations() const
-
134{
-
135 std::vector<ir::OperationIndex> ret;
- -
137 ir::OperationIndex loss_idx;
-
138 operations().iterate([&](const ir::OperationIndex &index, const ir::IOperation &op) {
-
139 unvisited.add(index);
-
140 if (op.opcode() == ir::OpCode::Loss)
-
141 {
-
142 assert(!loss_idx.valid()); // Should be only one loss
-
143 loss_idx = index;
-
144 }
-
145 });
-
146
-
147 std::function<void(const ir::OperationIndex &, const ir::IOperation &)> dfs =
-
148 [&](const ir::OperationIndex &index, const ir::IOperation &op) -> void {
-
149 if (!unvisited.contains(index))
-
150 return;
-
151 unvisited.remove(index);
-
152 ret.push_back(index);
-
153
-
154 for (const auto &input : op.getInputs() | ir::Remove::DUPLICATED | ir::Remove::UNDEFINED)
-
155 {
-
156 const auto &operand = operands().at(input);
-
157 const auto &def = operand.getDef();
-
158 if (!def.valid())
-
159 return;
-
160 dfs(def, operations().at(def));
-
161 }
-
162 };
-
163
-
164 dfs(loss_idx, operations().at(loss_idx));
-
165
-
166 return ret;
-
167}
+
196
+
+
197std::vector<ir::OperationIndex> TrainableGraph::btopolSortOperations() const
+
198{
+
199 std::vector<ir::OperationIndex> ret;
+ +
201 ir::OperationIndex loss_idx;
+
202 operations().iterate([&](const ir::OperationIndex &index, const ir::IOperation &op) {
+
203 unvisited.add(index);
+
204 if (op.opcode() == ir::OpCode::Loss)
+
205 {
+
206 assert(!loss_idx.valid()); // Should be only one loss
+
207 loss_idx = index;
+
208 }
+
209 });
+
210
+
211 std::function<void(const ir::OperationIndex &, const ir::IOperation &)> dfs =
+
212 [&](const ir::OperationIndex &index, const ir::IOperation &op) -> void {
+
213 if (!unvisited.contains(index))
+
214 return;
+
215 unvisited.remove(index);
+
216
+
217 for (const auto &input : op.getInputs() | ir::Remove::DUPLICATED | ir::Remove::UNDEFINED)
+
218 {
+
219 const auto &operand = operands().at(input);
+
220 const auto &def = operand.getDef();
+
221 if (!def.valid())
+
222 continue;
+
223 dfs(def, operations().at(def));
+
224 }
+
225
+
226 ret.push_back(index);
+
227 };
+
228
+
229 dfs(loss_idx, operations().at(loss_idx));
+
230 std::reverse(ret.begin(), ret.end());
+
231 validateBackwardTopologicalOrder(ret);
+
232
+
233 return ret;
+
234}
-
168
-
-
169void TrainableGraph::addLoss(const OperandIndex &loss_ind, const IOIndex &pred_ioind)
-
170{
-
171 _losses.emplace(pred_ioind, loss_ind);
-
172}
+
235
+
+
236void TrainableGraph::addLoss(const OperandIndex &loss_ind, const IOIndex &pred_ioind)
+
237{
+
238 _losses.emplace(pred_ioind, loss_ind);
+
239}
-
173
-
- -
175{
-
176 auto itr = _losses.find(pred_ioind);
-
177 return (itr == _losses.end()) ? OperandIndex{} : itr->second;
-
178}
+
240
+
+ +
242{
+
243 auto itr = _losses.find(pred_ioind);
+
244 return (itr == _losses.end()) ? OperandIndex{} : itr->second;
+
245}
-
179
-
180} // namespace train
-
181} // namespace ir
-
182} // namespace onert
+
246
+
247} // namespace train
+
248} // namespace ir
+
249} // namespace onert
This file contains onert::util::Set class.
@@ -335,29 +402,31 @@ -
const ITrainableOperation & operation(OperationIndex index) const
-
OperationIndex replaceOperation(OperationIndex index, std::unique_ptr< ITrainableOperation > &&operation)
Replace a trainable operation which the graph already has.
-
IOIndex getInputIndex(const std::string &name) const override
-
OperandIndex addBackwardOperand(OperandIndex index, std::unique_ptr< Operand > &&bwd_operand)
Add an operand for backwarding to the graph with the given index and object.
-
OperandIndex getLossIndex(const IOIndex &pred_io_ind) const
-
void changeShape(const OperandIndex &ind, const ir::Shape &new_shape) override
- -
IOIndex getOutputIndex(const std::string &name) const override
-
TrainableGraph()
Construct a new Trainable Graph object.
-
OperationIndex addOperation(std::unique_ptr< ITrainableOperation > &&operation)
Add a new trainable operation to the graph.
-
std::vector< ir::OperationIndex > btopolSortOperations() const
-
void addOutput(const OperandIndex &ind, const std::string &name="")
-
OperandIndex addOperand(const Shape &shape, const TypeInfo &type)
-
void removeOperand(const OperandIndex &ind)
-
void changeBackwardShape(const OperandIndex &ind, const ir::Shape &new_shape)
+
const ITrainableOperation & operation(OperationIndex index) const
+
OperationIndex replaceOperation(OperationIndex index, std::unique_ptr< ITrainableOperation > &&operation)
Replace a trainable operation which the graph already has.
+
IOIndex getInputIndex(const std::string &name) const override
+
OperandIndex addBackwardOperand(OperandIndex index, std::unique_ptr< Operand > &&bwd_operand)
Add an operand for backwarding to the graph with the given index and object.
+
OperandIndex getLossIndex(const IOIndex &pred_io_ind) const
+
const OperandIndexSequence & getOutputs() const override
+
void changeShape(const OperandIndex &ind, const ir::Shape &new_shape) override
+ +
IOIndex getOutputIndex(const std::string &name) const override
+
TrainableGraph()
Construct a new Trainable Graph object.
+
OperationIndex addOperation(std::unique_ptr< ITrainableOperation > &&operation)
Add a new trainable operation to the graph.
+
std::vector< ir::OperationIndex > btopolSortOperations() const
+
void addOutput(const OperandIndex &ind, const std::string &name="")
+
OperandIndex addOperand(const Shape &shape, const TypeInfo &type)
+
void removeOperand(const OperandIndex &ind)
+
void changeBackwardShape(const OperandIndex &ind, const ir::Shape &new_shape)
const Operations & operations() const override
-
std::vector< ir::OperationIndex > topolSortOperations() const
+
std::vector< ir::OperationIndex > topolSortOperations() const
const Operands & operands() const override
-
void addLoss(const OperandIndex &loss_ind, const IOIndex &pred_io_ind)
-
void addInput(const OperandIndex &ind, const std::string &name="")
- +
void addLoss(const OperandIndex &loss_ind, const IOIndex &pred_io_ind)
+
void addInput(const OperandIndex &ind, const std::string &name="")
+ +
T value() const
Return underlying value.
Definition Index.h:139
Index push(std::unique_ptr< Object > &&object, Index index)
Put the object in the container with given index.
void iterate(const std::function< void(const Index &, const Object &)> &fn) const
Iterate over the container with given function.
const Object & at(const Index &index) const
Get the object that is associated with the given index.
@@ -368,8 +437,10 @@
void add(const Element &e)
Add a given element to the set.
Definition Set.h:70
#define UNUSED_RELEASE(a)
Definition Shape.h:26
std::unique_ptr< Operation > clone(const IOperation &operation)
+ +
::onert::util::Index< uint32_t, OperationIndexTag > OperationIndex
Definition Index.h:32
diff --git a/_trainable_graph_8h_source.html b/_trainable_graph_8h_source.html index c0d99702f62..36c3f61f50a 100644 --- a/_trainable_graph_8h_source.html +++ b/_trainable_graph_8h_source.html @@ -179,23 +179,28 @@
127public:
128 const ITrainableOperation &operation(OperationIndex index) const;
129
-
130public:
-
131 std::vector<ir::OperationIndex> topolSortOperations() const;
-
132 std::vector<ir::OperationIndex> btopolSortOperations() const;
-
133
-
134private:
-
135 Graph _graph;
-
136 Operands _backward_operands;
-
137
-
138 std::unordered_map<IOIndex, OperandIndex> _losses;
-
139};
+
130private:
+
131 void validateTopologicalOrder(std::vector<ir::OperationIndex> order, bool is_forward) const;
+
132 void validateForwardTopologicalOrder(const std::vector<ir::OperationIndex> &order) const;
+
133 void validateBackwardTopologicalOrder(const std::vector<ir::OperationIndex> &order) const;
+
134
+
135public:
+
136 std::vector<ir::OperationIndex> topolSortOperations() const;
+
137 std::vector<ir::OperationIndex> btopolSortOperations() const;
+
138
+
139private:
+
140 Graph _graph;
+
141 Operands _backward_operands;
+
142
+
143 std::unordered_map<IOIndex, OperandIndex> _losses;
+
144};
-
140
-
141} // namespace train
-
142} // namespace ir
-
143} // namespace onert
-
144
-
145#endif // __ONERT_IR_TRAIN_TRAINABLE_GRAPH_H__
+
145
+
146} // namespace train
+
147} // namespace ir
+
148} // namespace onert
+
149
+
150#endif // __ONERT_IR_TRAIN_TRAINABLE_GRAPH_H__
Layout layout() const
Definition Graph.h:117
@@ -210,34 +215,34 @@ -
OperationIndex replaceOperation(OperationIndex index, std::unique_ptr< ITrainableOperation > &&operation)
Replace a trainable operation which the graph already has.
-
IOIndex getInputIndex(const std::string &name) const override
+
OperationIndex replaceOperation(OperationIndex index, std::unique_ptr< ITrainableOperation > &&operation)
Replace a trainable operation which the graph already has.
+
IOIndex getInputIndex(const std::string &name) const override
-
OperandIndex addBackwardOperand(OperandIndex index, std::unique_ptr< Operand > &&bwd_operand)
Add an operand for backwarding to the graph with the given index and object.
-
OperandIndex getLossIndex(const IOIndex &pred_io_ind) const
+
OperandIndex addBackwardOperand(OperandIndex index, std::unique_ptr< Operand > &&bwd_operand)
Add an operand for backwarding to the graph with the given index and object.
+
OperandIndex getLossIndex(const IOIndex &pred_io_ind) const
const OperandIndexSequence & getOutputs() const override
-
void changeShape(const OperandIndex &ind, const ir::Shape &new_shape) override
- -
IOIndex getOutputIndex(const std::string &name) const override
+
void changeShape(const OperandIndex &ind, const ir::Shape &new_shape) override
+ +
IOIndex getOutputIndex(const std::string &name) const override
const OperandIndexSequence & getInputs() const override
const Operands & backward_operands() const
-
TrainableGraph()
Construct a new Trainable Graph object.
-
OperationIndex addOperation(std::unique_ptr< ITrainableOperation > &&operation)
Add a new trainable operation to the graph.
-
std::vector< ir::OperationIndex > btopolSortOperations() const
+
TrainableGraph()
Construct a new Trainable Graph object.
+
OperationIndex addOperation(std::unique_ptr< ITrainableOperation > &&operation)
Add a new trainable operation to the graph.
+
std::vector< ir::OperationIndex > btopolSortOperations() const
void setOutputs(OperandIndexSequence outputs, std::unordered_map< std::string, IOIndex > name_to_output)
-
void addOutput(const OperandIndex &ind, const std::string &name="")
-
OperandIndex addOperand(const Shape &shape, const TypeInfo &type)
-
void removeOperand(const OperandIndex &ind)
-
void changeBackwardShape(const OperandIndex &ind, const ir::Shape &new_shape)
+
void addOutput(const OperandIndex &ind, const std::string &name="")
+
OperandIndex addOperand(const Shape &shape, const TypeInfo &type)
+
void removeOperand(const OperandIndex &ind)
+
void changeBackwardShape(const OperandIndex &ind, const ir::Shape &new_shape)
const Operations & operations() const override
-
std::vector< ir::OperationIndex > topolSortOperations() const
+
std::vector< ir::OperationIndex > topolSortOperations() const
const Operands & operands() const override
-
void addLoss(const OperandIndex &loss_ind, const IOIndex &pred_io_ind)
-
void addInput(const OperandIndex &ind, const std::string &name="")
+
void addLoss(const OperandIndex &loss_ind, const IOIndex &pred_io_ind)
+
void addInput(const OperandIndex &ind, const std::string &name="")
- +
void setInputs(OperandIndexSequence inputs, std::unordered_map< std::string, IOIndex > name_to_input)
diff --git a/_training_driver_8cpp_source.html b/_training_driver_8cpp_source.html index 0a621c5a8ac..4daf1ed2392 100644 --- a/_training_driver_8cpp_source.html +++ b/_training_driver_8cpp_source.html @@ -319,7 +319,7 @@
218int entry(int argc, char **argv);
219
220#ifdef NDEBUG
-
221int main(int argc, char **argv)
+
221int main(int argc, char **argv)
222{
223 try
224 {
@@ -334,7 +334,7 @@
233}
234#else // NDEBUG
-
235int main(int argc, char **argv)
+
235int main(int argc, char **argv)
236{
237 // NOTE main does not catch internal exceptions for debug build to make it easy to
238 // check the stacktrace with a debugger
@@ -347,7 +347,7 @@
void writeDataToFile(const std::string &file_path, const std::string &data)
write data to file_path
-
int main()
Definition main.cpp:58
+
int main()
Definition main.cpp:58
int32_t size[5]
Definition Slice.cpp:35
float test_data[1960]
Definition test_data.h:19
diff --git a/_training_onert_micro_8cpp_source.html b/_training_onert_micro_8cpp_source.html index b70f9c871d2..9cc92b1d666 100644 --- a/_training_onert_micro_8cpp_source.html +++ b/_training_onert_micro_8cpp_source.html @@ -250,7 +250,7 @@
151
152 for (uint32_t epoch = 0; epoch < epochs; ++epoch)
153 {
-
154 for (uint32_t infer = 0; infer < num_inferences; ++infer)
+
154 for (uint32_t infer = 0; infer < num_inferences; ++infer)
155 {
156 for (uint32_t batch = 0; batch < batch_size; ++batch)
157 {
@@ -348,7 +348,7 @@ -
std::vector< float > infer()
Definition main.cpp:25
+
std::vector< float > infer()
Definition main.cpp:25
float test_data[1960]
Definition test_data.h:19
diff --git a/_type_inference_8h_source.html b/_type_inference_8h_source.html index 52bdf7b6736..885c7c48a64 100644 --- a/_type_inference_8h_source.html +++ b/_type_inference_8h_source.html @@ -142,7 +142,7 @@
63{
64 bool recognize(const Dialect *) const final;
-
65 bool infer(const Node *, DataType &) const final;
+
65 bool infer(const Node *, DataType &) const final;
66};
67
@@ -151,7 +151,7 @@
72{
73public:
74 bool recognize(const Dialect *) const final;
-
75 bool infer(const Node *, DataType &) const final;
+
75 bool infer(const Node *, DataType &) const final;
76
79
@@ -216,7 +216,7 @@
bool dtype_known(const Node *node)
DataType
"scalar" value type
Definition DataType.h:27
DataType dtype_get(const Node *node)
-
std::vector< float > infer()
Definition main.cpp:25
+
std::vector< float > infer()
Definition main.cpp:25
Type Inference Rule for Canonical Dialect.
bool recognize(const Dialect *) const final
Return true if this rule recognizes a given dialect.
diff --git a/_validation_8cpp.html b/_validation_8cpp.html index 7d8b11f2368..20e64a03588 100644 --- a/_validation_8cpp.html +++ b/_validation_8cpp.html @@ -96,7 +96,7 @@
#include "Validation.h"
#include "Macro.h"
-#include "Assert.h"
+#include "Assert.h"

Go to the source code of this file.

diff --git a/_validation_8cpp_source.html b/_validation_8cpp_source.html index 3aaf1f02e55..940fcbd6dd4 100644 --- a/_validation_8cpp_source.html +++ b/_validation_8cpp_source.html @@ -116,7 +116,7 @@
17
18#include "Validation.h"
19#include "Macro.h"
-
20#include "Assert.h"
+
20#include "Assert.h"
21
22static inline bool validCode(uint32_t codeCount, uint32_t code)
23{
@@ -396,7 +396,7 @@
@ ANEURALNETWORKS_UINT32
-
This file contains helper function of assertion.
+
This file contains helper function of assertion.
uint32_t poolIndex
Definition Operand.h:36
uint32_t length
Definition Operand.h:38
diff --git a/ann-ref_2src_2ops_2_add_8h.html b/ann-ref_2src_2ops_2_add_8h.html index 2e4fe4b5dfe..b7a05589626 100644 --- a/ann-ref_2src_2ops_2_add_8h.html +++ b/ann-ref_2src_2ops_2_add_8h.html @@ -138,8 +138,8 @@

Definition at line 21 of file Add.cpp.

22{
- -
24 ASSERT(in1.type == in2.type);
+ +
24 ASSERT(in1.type == in2.type);
25 if (SameShape(in1, in2))
26 {
27 return SetShape(in1, out);
@@ -173,15 +173,15 @@

55 }

56 return true;
57}
+
#define ASSERT(v)
Definition Assert.h:24
#define LOG(...)
Definition Logging.h:36
bool SetShape(const Shape &in, Shape *out)
Definition Shape.cpp:38
uint32_t getSizeOfDimension(const Shape &shape, uint32_t dimensionIdx)
Definition Shape.cpp:60
bool SameShape(const Shape &in1, const Shape &in2)
Definition Shape.cpp:22
uint32_t getNumberOfDimensions(const Shape &shape)
Definition Shape.cpp:58
-
#define ASSERT(v)
Definition Assert.h:24
OperandType type
Definition Shape.h:29
-

References ASSERT, Shape::dimensions, getNumberOfDimensions(), getSizeOfDimension(), LOG, SameShape(), SetShape(), and Shape::type.

+

References ASSERT, Shape::dimensions, getNumberOfDimensions(), getSizeOfDimension(), LOG, SameShape(), SetShape(), and Shape::type.

diff --git a/ann-ref_2src_2ops_2_div_8h.html b/ann-ref_2src_2ops_2_div_8h.html index 806fb158a9a..ecb4ce61dee 100644 --- a/ann-ref_2src_2ops_2_div_8h.html +++ b/ann-ref_2src_2ops_2_div_8h.html @@ -138,8 +138,8 @@

Definition at line 21 of file Div.cpp.

22{
- -
24 ASSERT(in1.type == in2.type);
+ +
24 ASSERT(in1.type == in2.type);
25 if (SameShape(in1, in2))
26 {
27 return SetShape(in1, out);
@@ -173,16 +173,16 @@

55 }

56 return true;
57}
+
#define ASSERT(v)
Definition Assert.h:24
#define LOG(...)
Definition Logging.h:36
bool SetShape(const Shape &in, Shape *out)
Definition Shape.cpp:38
uint32_t getSizeOfDimension(const Shape &shape, uint32_t dimensionIdx)
Definition Shape.cpp:60
bool SameShape(const Shape &in1, const Shape &in2)
Definition Shape.cpp:22
uint32_t getNumberOfDimensions(const Shape &shape)
Definition Shape.cpp:58
-
#define ASSERT(v)
Definition Assert.h:24
OperandType type
Definition Shape.h:29
std::vector< uint32_t > dimensions
Definition Shape.h:30
-

References ASSERT, Shape::dimensions, getNumberOfDimensions(), getSizeOfDimension(), LOG, SameShape(), SetShape(), and Shape::type.

+

References ASSERT, Shape::dimensions, getNumberOfDimensions(), getSizeOfDimension(), LOG, SameShape(), SetShape(), and Shape::type.

diff --git a/ann-ref_2src_2ops_2_mul_8h.html b/ann-ref_2src_2ops_2_mul_8h.html index 570ab8a2f31..4418b315d0d 100644 --- a/ann-ref_2src_2ops_2_mul_8h.html +++ b/ann-ref_2src_2ops_2_mul_8h.html @@ -138,8 +138,8 @@

Definition at line 21 of file Mul.cpp.

22{
- -
24 ASSERT(in1.type == in2.type);
+ +
24 ASSERT(in1.type == in2.type);
25 if (SameShape(in1, in2))
26 {
27 return SetShape(in1, out);
@@ -173,15 +173,15 @@

55 }

56 return true;
57}
+
#define ASSERT(v)
Definition Assert.h:24
#define LOG(...)
Definition Logging.h:36
bool SetShape(const Shape &in, Shape *out)
Definition Shape.cpp:38
uint32_t getSizeOfDimension(const Shape &shape, uint32_t dimensionIdx)
Definition Shape.cpp:60
bool SameShape(const Shape &in1, const Shape &in2)
Definition Shape.cpp:22
uint32_t getNumberOfDimensions(const Shape &shape)
Definition Shape.cpp:58
-
#define ASSERT(v)
Definition Assert.h:24
OperandType type
Definition Shape.h:29
-

References ASSERT, Shape::dimensions, getNumberOfDimensions(), getSizeOfDimension(), LOG, SameShape(), SetShape(), and Shape::type.

+

References ASSERT, Shape::dimensions, getNumberOfDimensions(), getSizeOfDimension(), LOG, SameShape(), SetShape(), and Shape::type.

diff --git a/ann-ref_2src_2ops_2_sub_8h.html b/ann-ref_2src_2ops_2_sub_8h.html index 9984e147c73..2e2763cf569 100644 --- a/ann-ref_2src_2ops_2_sub_8h.html +++ b/ann-ref_2src_2ops_2_sub_8h.html @@ -138,8 +138,8 @@

Definition at line 21 of file Sub.cpp.

22{
- -
24 ASSERT(in1.type == in2.type);
+ +
24 ASSERT(in1.type == in2.type);
25 if (SameShape(in1, in2))
26 {
27 return SetShape(in1, out);
@@ -173,15 +173,15 @@

55 }

56 return true;
57}
+
#define ASSERT(v)
Definition Assert.h:24
#define LOG(...)
Definition Logging.h:36
bool SetShape(const Shape &in, Shape *out)
Definition Shape.cpp:38
uint32_t getSizeOfDimension(const Shape &shape, uint32_t dimensionIdx)
Definition Shape.cpp:60
bool SameShape(const Shape &in1, const Shape &in2)
Definition Shape.cpp:22
uint32_t getNumberOfDimensions(const Shape &shape)
Definition Shape.cpp:58
-
#define ASSERT(v)
Definition Assert.h:24
OperandType type
Definition Shape.h:29
-

References ASSERT, Shape::dimensions, getNumberOfDimensions(), getSizeOfDimension(), LOG, SameShape(), SetShape(), and Shape::type.

+

References ASSERT, Shape::dimensions, getNumberOfDimensions(), getSizeOfDimension(), LOG, SameShape(), SetShape(), and Shape::type.

diff --git a/ann-ref_2src_2ops_2internal_2_dims_8h.js b/ann-ref_2src_2ops_2internal_2_dims_8h.js deleted file mode 100644 index 6f60a1f0e2a..00000000000 --- a/ann-ref_2src_2ops_2internal_2_dims_8h.js +++ /dev/null @@ -1,14 +0,0 @@ -var ann_ref_2src_2ops_2internal_2_dims_8h = -[ - [ "Dims< N >", "struct_dims.html", "struct_dims" ], - [ "ArraySize", "ann-ref_2src_2ops_2internal_2_dims_8h.html#a2cbc59d33e8ad335cd79a228368199be", null ], - [ "convertShapeToDims", "ann-ref_2src_2ops_2internal_2_dims_8h.html#abdda18d951947fa9a112349b694c2859", null ], - [ "FlatSize", "ann-ref_2src_2ops_2internal_2_dims_8h.html#a6c69bfc674e843b5901df4889635b629", null ], - [ "IsPackedWithoutStrides", "ann-ref_2src_2ops_2internal_2_dims_8h.html#a2ccd14d28816909b57318239dcf93f7c", null ], - [ "MatchingFlatSize", "ann-ref_2src_2ops_2internal_2_dims_8h.html#a93604338a7a3801ed30692282ff124ce", null ], - [ "MatchingFlatSize", "ann-ref_2src_2ops_2internal_2_dims_8h.html#a08b468416d229c1116341a513d230d7f", null ], - [ "MatchingFlatSize", "ann-ref_2src_2ops_2internal_2_dims_8h.html#a6f3e4d749e7ceabb310742d5ebdd8390", null ], - [ "MatchingFlatSize", "ann-ref_2src_2ops_2internal_2_dims_8h.html#a7d31d5861ee29211ad7b0ba31527c58a", null ], - [ "Offset", "ann-ref_2src_2ops_2internal_2_dims_8h.html#a1c037ff89c0da8b5cd52088b914b9c1d", null ], - [ "RequiredBufferSizeForDims", "ann-ref_2src_2ops_2internal_2_dims_8h.html#a0025f418005653851d3446be631a8fb2", null ] -]; \ No newline at end of file diff --git a/ann-ref_2src_2ops_2internal_2_pooling_8cpp.html b/ann-ref_2src_2ops_2internal_2_pooling_8cpp.html index fcd285392bf..f5818b57570 100644 --- a/ann-ref_2src_2ops_2internal_2_pooling_8cpp.html +++ b/ann-ref_2src_2ops_2internal_2_pooling_8cpp.html @@ -182,7 +182,7 @@

Definition at line 23 of file Pooling.cpp.

27{
-
28 ASSERT(getNumberOfDimensions(input) == 4);
+
28 ASSERT(getNumberOfDimensions(input) == 4);
29
30 uint32_t batches = getSizeOfDimension(input, 0);
31 uint32_t width = getSizeOfDimension(input, 2);
@@ -199,13 +199,13 @@

42 return true;

43}
uint32_t computeOutSize(uint32_t imageSize, uint32_t filterSize, uint32_t stride, uint32_t paddingHead, uint32_t paddingTail)
Definition Spatial.h:23
+
#define ASSERT(v)
Definition Assert.h:24
uint32_t getSizeOfDimension(const Shape &shape, uint32_t dimensionIdx)
Definition Shape.cpp:60
uint32_t getNumberOfDimensions(const Shape &shape)
Definition Shape.cpp:58
-
#define ASSERT(v)
Definition Assert.h:24
-

References ASSERT, computeOutSize(), getNumberOfDimensions(), and getSizeOfDimension().

+

References ASSERT, computeOutSize(), getNumberOfDimensions(), and getSizeOfDimension().

Referenced by averagePoolPrepare(), and maxPoolPrepare().

diff --git a/ann-ref_2src_2ops_2internal_2_pooling_8cpp_source.html b/ann-ref_2src_2ops_2internal_2_pooling_8cpp_source.html index f5b784b83f7..fcfcc7a8777 100644 --- a/ann-ref_2src_2ops_2internal_2_pooling_8cpp_source.html +++ b/ann-ref_2src_2ops_2internal_2_pooling_8cpp_source.html @@ -125,7 +125,7 @@
25 int32_t stride_height, int32_t filter_width, int32_t filter_height,
26 Shape *output)
27{
-
28 ASSERT(getNumberOfDimensions(input) == 4);
+
28 ASSERT(getNumberOfDimensions(input) == 4);
29
30 uint32_t batches = getSizeOfDimension(input, 0);
31 uint32_t width = getSizeOfDimension(input, 2);
@@ -145,9 +145,9 @@
uint32_t computeOutSize(uint32_t imageSize, uint32_t filterSize, uint32_t stride, uint32_t paddingHead, uint32_t paddingTail)
Definition Spatial.h:23
bool genericPoolingPrepare(const Shape &input, int32_t padding_left, int32_t padding_right, int32_t padding_top, int32_t padding_bottom, int32_t stride_width, int32_t stride_height, int32_t filter_width, int32_t filter_height, Shape *output)
Definition Pooling.cpp:23
+
#define ASSERT(v)
Definition Assert.h:24
uint32_t getSizeOfDimension(const Shape &shape, uint32_t dimensionIdx)
Definition Shape.cpp:60
uint32_t getNumberOfDimensions(const Shape &shape)
Definition Shape.cpp:58
-
#define ASSERT(v)
Definition Assert.h:24
Definition Shape.h:28
diff --git a/ann-ref_2src_2ops_2internal_2_pooling_8h.html b/ann-ref_2src_2ops_2internal_2_pooling_8h.html index da4f75c9120..be0c1cc571f 100644 --- a/ann-ref_2src_2ops_2internal_2_pooling_8h.html +++ b/ann-ref_2src_2ops_2internal_2_pooling_8h.html @@ -181,7 +181,7 @@

Definition at line 23 of file Pooling.cpp.

27{
-
28 ASSERT(getNumberOfDimensions(input) == 4);
+
28 ASSERT(getNumberOfDimensions(input) == 4);
29
30 uint32_t batches = getSizeOfDimension(input, 0);
31 uint32_t width = getSizeOfDimension(input, 2);
@@ -198,13 +198,13 @@

42 return true;

43}
uint32_t computeOutSize(uint32_t imageSize, uint32_t filterSize, uint32_t stride, uint32_t paddingHead, uint32_t paddingTail)
Definition Spatial.h:23
+
#define ASSERT(v)
Definition Assert.h:24
uint32_t getSizeOfDimension(const Shape &shape, uint32_t dimensionIdx)
Definition Shape.cpp:60
uint32_t getNumberOfDimensions(const Shape &shape)
Definition Shape.cpp:58
-
#define ASSERT(v)
Definition Assert.h:24
-

References ASSERT, computeOutSize(), getNumberOfDimensions(), and getSizeOfDimension().

+

References ASSERT, computeOutSize(), getNumberOfDimensions(), and getSizeOfDimension().

Referenced by averagePoolPrepare(), and maxPoolPrepare().

diff --git a/ann-ref_2src_2ops_2internal_2_dims_8h.html b/ann-ref_2src_2ops_2internal_2dims_8h.html similarity index 78% rename from ann-ref_2src_2ops_2internal_2_dims_8h.html rename to ann-ref_2src_2ops_2internal_2dims_8h.html index 7f435f6cef8..16a1bb11a2d 100644 --- a/ann-ref_2src_2ops_2internal_2_dims_8h.html +++ b/ann-ref_2src_2ops_2internal_2dims_8h.html @@ -63,7 +63,7 @@
@@ -98,7 +98,7 @@
#include "Shape.h"
#include "Macro.h"
-

Go to the source code of this file.

+

Go to the source code of this file.

@@ -107,32 +107,32 @@

Data Structures

- + - + - + - + - + - + - + - + - + - +

Functions

Dims< 4 > convertShapeToDims (const Shape &shape)
Dims< 4 > convertShapeToDims (const Shape &shape)
 
int Offset (const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
int Offset (const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
 
template<int N>
int ArraySize (const Dims< N > &array, int index)
int ArraySize (const Dims< N > &array, int index)
 
template<int N>
int FlatSize (const Dims< N > &dims)
int FlatSize (const Dims< N > &dims)
 
int RequiredBufferSizeForDims (const Dims< 4 > &dims)
int RequiredBufferSizeForDims (const Dims< 4 > &dims)
 
template<int N>
int MatchingFlatSize (const Dims< N > &dims, const Dims< N > &check_dims_0)
int MatchingFlatSize (const Dims< N > &dims, const Dims< N > &check_dims_0)
 
template<int N>
int MatchingFlatSize (const Dims< N > &dims, const Dims< N > &check_dims_0, const Dims< N > &check_dims_1)
int MatchingFlatSize (const Dims< N > &dims, const Dims< N > &check_dims_0, const Dims< N > &check_dims_1)
 
template<int N>
int MatchingFlatSize (const Dims< N > &dims, const Dims< N > &check_dims_0, const Dims< N > &check_dims_1, const Dims< N > &check_dims_2)
int MatchingFlatSize (const Dims< N > &dims, const Dims< N > &check_dims_0, const Dims< N > &check_dims_1, const Dims< N > &check_dims_2)
 
template<int N>
int MatchingFlatSize (const Dims< N > &dims, const Dims< N > &check_dims_0, const Dims< N > &check_dims_1, const Dims< N > &check_dims_2, const Dims< N > &check_dims_3)
int MatchingFlatSize (const Dims< N > &dims, const Dims< N > &check_dims_0, const Dims< N > &check_dims_1, const Dims< N > &check_dims_2, const Dims< N > &check_dims_3)
 
template<int N>
bool IsPackedWithoutStrides (const Dims< N > &dims)
bool IsPackedWithoutStrides (const Dims< N > &dims)
 

Function Documentation

@@ -164,18 +164,18 @@

-

Definition at line 76 of file Dims.h.

+

Definition at line 76 of file Dims.h.

77{
78 DCHECK(index >= 0 && index < N);
79 return array.sizes[index];
80}
#define DCHECK(condition)
Definition Macro.h:25
loco::GraphInputIndex index(const TFPlaceholder *node)
Definition TFNode.cpp:54
-
int sizes[N]
Definition Dims.h:27
+
int sizes[N]
Definition Dims.h:27
-

References DCHECK, and Dims< N >::sizes.

+

References DCHECK, and Dims< N >::sizes.

-

Referenced by AveragePool(), BroadcastAdd(), BroadcastDiv(), BroadcastMul(), BroadcastSub(), Concatenation(), Conv(), optimized_ops::DepthwiseConv(), FullyConnected(), Im2col(), MatchingArraySize(), MatchingArraySize(), MatchingFlatSize(), MatchingFlatSize(), MatchingFlatSize(), MatchingFlatSize(), MaxPool(), and NdArrayDescsForElementwiseBroadcast().

+

Referenced by AveragePool(), BroadcastAdd(), BroadcastDiv(), BroadcastMul(), BroadcastSub(), Concatenation(), Conv(), optimized_ops::DepthwiseConv(), FullyConnected(), Im2col(), MatchingArraySize(), MatchingArraySize(), MatchingFlatSize(), MatchingFlatSize(), MatchingFlatSize(), MatchingFlatSize(), MaxPool(), and NdArrayDescsForElementwiseBroadcast().

@@ -203,7 +203,7 @@

-

Definition at line 31 of file Dims.h.

+

Definition at line 31 of file Dims.h.

32{
33 Dims<4> dims;
34 for (int i = 0; i < 4; i++)
@@ -236,11 +236,11 @@

61}

uint32_t getSizeOfDimension(const Shape &shape, uint32_t dimensionIdx)
Definition Shape.cpp:60
-
Definition Dims.h:26
-
int strides[N]
Definition Dims.h:28
+
Definition Dims.h:26
+
int strides[N]
Definition Dims.h:28
std::vector< uint32_t > dimensions
Definition Shape.h:30
-

References Shape::dimensions, getSizeOfDimension(), Dims< N >::sizes, and Dims< N >::strides.

+

References Shape::dimensions, getSizeOfDimension(), Dims< N >::sizes, and Dims< N >::strides.

Referenced by concatenationFloat32(), padGeneric(), and softmaxFloat32().

@@ -272,7 +272,7 @@

-

Definition at line 83 of file Dims.h.

+

Definition at line 83 of file Dims.h.

84{
85 int flat_size = 1;
86 for (int i = 0; i < N; ++i)
@@ -282,9 +282,9 @@

90 return flat_size;

91}
-

References Dims< N >::sizes.

+

References Dims< N >::sizes.

-

Referenced by MatchingFlatSize(), MatchingFlatSize(), and MatchingFlatSize().

+

Referenced by MatchingFlatSize(), MatchingFlatSize(), and MatchingFlatSize().

@@ -306,7 +306,7 @@

-

Definition at line 155 of file Dims.h.

+

Definition at line 155 of file Dims.h.

156{
157 int expected_stride = 1;
158 for (int d = 0; d < N; d++)
@@ -318,7 +318,7 @@

164 return true;

165}
-

References Dims< N >::sizes, and Dims< N >::strides.

+

References Dims< N >::sizes, and Dims< N >::strides.

Referenced by Add(), Concatenation(), Div(), Im2col(), Mul(), and Sub().

@@ -360,21 +360,21 @@

-

Definition at line 108 of file Dims.h.

+

Definition at line 108 of file Dims.h.

109{
110 for (int i = 0; i < N; ++i)
111 {
-
112 DCHECK_EQ(ArraySize(dims, i), ArraySize(check_dims_0, i));
+
112 DCHECK_EQ(ArraySize(dims, i), ArraySize(check_dims_0, i));
113 }
-
114 return FlatSize(dims);
+
114 return FlatSize(dims);
115}
-
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
-
int FlatSize(const Dims< N > &dims)
Definition Dims.h:83
#define DCHECK_EQ(x, y)
Definition Macro.h:29
+
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
+
int FlatSize(const Dims< N > &dims)
Definition Dims.h:83
-

References ArraySize(), DCHECK_EQ, and FlatSize().

+

References ArraySize(), DCHECK_EQ, and FlatSize().

-

Referenced by tflite::reference_ops::Dequantize(), onert::backend::cpu::ops::ElementwiseActivationLayer::EvalUsingLookupTable(), tflite::reference_ops::FakeQuant(), MatchingFlatSize(), tflite::reference_ops::Maximum(), tflite::reference_ops::Minimum(), tflite::reference_ops::Pow(), tflite::reference_ops::RankOneSelect(), tflite::reference_ops::Relu(), tflite::reference_ops::Relu1(), tflite::reference_ops::Relu6(), tflite::reference_ops::ReluX(), tflite::reference_ops::ReluX(), onert::backend::cpu::ops::QuantizeLayer::run(), and tflite::reference_ops::Select().

+

Referenced by tflite::reference_ops::Dequantize(), onert::backend::cpu::ops::ElementwiseActivationLayer::EvalUsingLookupTable(), tflite::reference_ops::FakeQuant(), MatchingFlatSize(), tflite::reference_ops::Maximum(), tflite::reference_ops::Minimum(), tflite::reference_ops::Pow(), tflite::reference_ops::RankOneSelect(), tflite::reference_ops::Relu(), tflite::reference_ops::Relu1(), tflite::reference_ops::Relu6(), tflite::reference_ops::ReluX(), tflite::reference_ops::ReluX(), onert::backend::cpu::ops::QuantizeLayer::run(), and tflite::reference_ops::Select().

@@ -420,17 +420,17 @@

-

Definition at line 119 of file Dims.h.

+

Definition at line 119 of file Dims.h.

121{
122 for (int i = 0; i < N; ++i)
123 {
-
124 DCHECK_EQ(ArraySize(dims, i), ArraySize(check_dims_0, i));
+
124 DCHECK_EQ(ArraySize(dims, i), ArraySize(check_dims_0, i));
125 }
-
126 return MatchingFlatSize(dims, check_dims_1);
+
126 return MatchingFlatSize(dims, check_dims_1);
127}
-
int MatchingFlatSize(const Dims< N > &dims, const Dims< N > &check_dims_0)
Definition Dims.h:108
+
int MatchingFlatSize(const Dims< N > &dims, const Dims< N > &check_dims_0)
Definition Dims.h:108
-

References ArraySize(), DCHECK_EQ, and MatchingFlatSize().

+

References ArraySize(), DCHECK_EQ, and MatchingFlatSize().

@@ -482,16 +482,16 @@

-

Definition at line 131 of file Dims.h.

+

Definition at line 131 of file Dims.h.

133{
134 for (int i = 0; i < N; ++i)
135 {
-
136 DCHECK_EQ(ArraySize(dims, i), ArraySize(check_dims_0, i));
+
136 DCHECK_EQ(ArraySize(dims, i), ArraySize(check_dims_0, i));
137 }
-
138 return FlatSize(dims, check_dims_1, check_dims_2);
+
138 return FlatSize(dims, check_dims_1, check_dims_2);
139}
-

References ArraySize(), DCHECK_EQ, and FlatSize().

+

References ArraySize(), DCHECK_EQ, and FlatSize().

@@ -549,16 +549,16 @@

-

Definition at line 143 of file Dims.h.

+

Definition at line 143 of file Dims.h.

146{
147 for (int i = 0; i < N; ++i)
148 {
-
149 DCHECK_EQ(ArraySize(dims, i), ArraySize(check_dims_0, i));
+
149 DCHECK_EQ(ArraySize(dims, i), ArraySize(check_dims_0, i));
150 }
-
151 return FlatSize(dims, check_dims_1, check_dims_2, check_dims_3);
+
151 return FlatSize(dims, check_dims_1, check_dims_2, check_dims_3);
152}
-

References ArraySize(), DCHECK_EQ, and FlatSize().

+

References ArraySize(), DCHECK_EQ, and FlatSize().

@@ -614,7 +614,7 @@

-

Definition at line 64 of file Dims.h.

+

Definition at line 64 of file Dims.h.

65{
66 DCHECK(i0 >= 0 && i0 < dims.sizes[0]);
67 DCHECK(i1 >= 0 && i1 < dims.sizes[1]);
@@ -623,7 +623,7 @@

70 return i0 * dims.strides[0] + i1 * dims.strides[1] + i2 * dims.strides[2] + i3 * dims.strides[3];

71}
-

References DCHECK, Dims< N >::sizes, and Dims< N >::strides.

+

References DCHECK, Dims< N >::sizes, and Dims< N >::strides.

Referenced by AveragePool(), BroadcastAdd(), BroadcastDiv(), BroadcastMul(), tflite::reference_ops::BroadcastPow4DSlow(), tflite::reference_ops::BroadcastSelect4DSlow(), BroadcastSub(), ExtractPatchIntoBufferColumn(), tflite::reference_ops::LstmCell(), MaxPool(), tflite::reference_ops::Slice(), and tflite::reference_ops::SparseToDense().

@@ -653,7 +653,7 @@

-

Definition at line 94 of file Dims.h.

+

Definition at line 94 of file Dims.h.

95{
96 int max_offset = 0;
97 for (int i = 0; i < 4; i++)
@@ -663,7 +663,7 @@

101 return max_offset + 1;

102}
-

References Dims< N >::sizes, and Dims< N >::strides.

+

References Dims< N >::sizes, and Dims< N >::strides.

Referenced by MapAsVector().

@@ -674,7 +674,7 @@

diff --git a/ann-ref_2src_2ops_2internal_2dims_8h.js b/ann-ref_2src_2ops_2internal_2dims_8h.js new file mode 100644 index 00000000000..aafcd12d4f7 --- /dev/null +++ b/ann-ref_2src_2ops_2internal_2dims_8h.js @@ -0,0 +1,14 @@ +var ann_ref_2src_2ops_2internal_2dims_8h = +[ + [ "Dims< N >", "struct_dims.html", "struct_dims" ], + [ "ArraySize", "ann-ref_2src_2ops_2internal_2dims_8h.html#a2cbc59d33e8ad335cd79a228368199be", null ], + [ "convertShapeToDims", "ann-ref_2src_2ops_2internal_2dims_8h.html#abdda18d951947fa9a112349b694c2859", null ], + [ "FlatSize", "ann-ref_2src_2ops_2internal_2dims_8h.html#a6c69bfc674e843b5901df4889635b629", null ], + [ "IsPackedWithoutStrides", "ann-ref_2src_2ops_2internal_2dims_8h.html#a2ccd14d28816909b57318239dcf93f7c", null ], + [ "MatchingFlatSize", "ann-ref_2src_2ops_2internal_2dims_8h.html#a93604338a7a3801ed30692282ff124ce", null ], + [ "MatchingFlatSize", "ann-ref_2src_2ops_2internal_2dims_8h.html#a08b468416d229c1116341a513d230d7f", null ], + [ "MatchingFlatSize", "ann-ref_2src_2ops_2internal_2dims_8h.html#a6f3e4d749e7ceabb310742d5ebdd8390", null ], + [ "MatchingFlatSize", "ann-ref_2src_2ops_2internal_2dims_8h.html#a7d31d5861ee29211ad7b0ba31527c58a", null ], + [ "Offset", "ann-ref_2src_2ops_2internal_2dims_8h.html#a1c037ff89c0da8b5cd52088b914b9c1d", null ], + [ "RequiredBufferSizeForDims", "ann-ref_2src_2ops_2internal_2dims_8h.html#a0025f418005653851d3446be631a8fb2", null ] +]; \ No newline at end of file diff --git a/ann-ref_2src_2ops_2internal_2_dims_8h_source.html b/ann-ref_2src_2ops_2internal_2dims_8h_source.html similarity index 75% rename from ann-ref_2src_2ops_2internal_2_dims_8h_source.html rename to ann-ref_2src_2ops_2internal_2dims_8h_source.html index b4e144c92be..bb3f6b9147b 100644 --- a/ann-ref_2src_2ops_2internal_2_dims_8h_source.html +++ b/ann-ref_2src_2ops_2internal_2dims_8h_source.html @@ -68,7 +68,7 @@
@@ -97,7 +97,7 @@
Dims.h
-Go to the documentation of this file.
1/*
+Go to the documentation of this file.
1/*
2 * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
3 * Copyright (C) 2017 The Android Open Source Project
4 * Copyright 2018 The TensorFlow Authors. All Rights Reserved.
@@ -130,7 +130,7 @@
30
-
31inline Dims<4> convertShapeToDims(const Shape &shape)
+
31inline Dims<4> convertShapeToDims(const Shape &shape)
32{
33 Dims<4> dims;
34 for (int i = 0; i < 4; i++)
@@ -165,7 +165,7 @@
62
63// From types.h in TensorFlow Lite
-
64inline int Offset(const Dims<4> &dims, int i0, int i1, int i2, int i3)
+
64inline int Offset(const Dims<4> &dims, int i0, int i1, int i2, int i3)
65{
66 DCHECK(i0 >= 0 && i0 < dims.sizes[0]);
67 DCHECK(i1 >= 0 && i1 < dims.sizes[1]);
@@ -179,7 +179,7 @@
74//
75// Get array size, DCHECKing that the dim index is in range.
-
76template <int N> int ArraySize(const Dims<N> &array, int index)
+
76template <int N> int ArraySize(const Dims<N> &array, int index)
77{
78 DCHECK(index >= 0 && index < N);
79 return array.sizes[index];
@@ -188,7 +188,7 @@
81
82// From types.h in TensorFlow Lite
-
83template <int N> inline int FlatSize(const Dims<N> &dims)
+
83template <int N> inline int FlatSize(const Dims<N> &dims)
84{
85 int flat_size = 1;
86 for (int i = 0; i < N; ++i)
@@ -201,7 +201,7 @@
92
93// From types.h in TensorFlow Lite
-
94inline int RequiredBufferSizeForDims(const Dims<4> &dims)
+
94inline int RequiredBufferSizeForDims(const Dims<4> &dims)
95{
96 int max_offset = 0;
97 for (int i = 0; i < 4; i++)
@@ -217,62 +217,62 @@
106// Flat size calculation, checking that dimensions match with one or more other
107// arrays.
-
108template <int N> inline int MatchingFlatSize(const Dims<N> &dims, const Dims<N> &check_dims_0)
+
108template <int N> inline int MatchingFlatSize(const Dims<N> &dims, const Dims<N> &check_dims_0)
109{
110 for (int i = 0; i < N; ++i)
111 {
-
112 DCHECK_EQ(ArraySize(dims, i), ArraySize(check_dims_0, i));
+
112 DCHECK_EQ(ArraySize(dims, i), ArraySize(check_dims_0, i));
113 }
-
114 return FlatSize(dims);
+
114 return FlatSize(dims);
115}
116
117// From types.h in TensorFlow Lite
118template <int N>
-
119inline int MatchingFlatSize(const Dims<N> &dims, const Dims<N> &check_dims_0,
+
119inline int MatchingFlatSize(const Dims<N> &dims, const Dims<N> &check_dims_0,
120 const Dims<N> &check_dims_1)
121{
122 for (int i = 0; i < N; ++i)
123 {
-
124 DCHECK_EQ(ArraySize(dims, i), ArraySize(check_dims_0, i));
+
124 DCHECK_EQ(ArraySize(dims, i), ArraySize(check_dims_0, i));
125 }
-
126 return MatchingFlatSize(dims, check_dims_1);
+
126 return MatchingFlatSize(dims, check_dims_1);
127}
128
129// From types.h in TensorFlow Lite
130template <int N>
-
131inline int MatchingFlatSize(const Dims<N> &dims, const Dims<N> &check_dims_0,
+
131inline int MatchingFlatSize(const Dims<N> &dims, const Dims<N> &check_dims_0,
132 const Dims<N> &check_dims_1, const Dims<N> &check_dims_2)
133{
134 for (int i = 0; i < N; ++i)
135 {
-
136 DCHECK_EQ(ArraySize(dims, i), ArraySize(check_dims_0, i));
+
136 DCHECK_EQ(ArraySize(dims, i), ArraySize(check_dims_0, i));
137 }
-
138 return FlatSize(dims, check_dims_1, check_dims_2);
+
138 return FlatSize(dims, check_dims_1, check_dims_2);
139}
140
141// From types.h in TensorFlow Lite
142template <int N>
-
143inline int MatchingFlatSize(const Dims<N> &dims, const Dims<N> &check_dims_0,
+
143inline int MatchingFlatSize(const Dims<N> &dims, const Dims<N> &check_dims_0,
144 const Dims<N> &check_dims_1, const Dims<N> &check_dims_2,
145 const Dims<N> &check_dims_3)
146{
147 for (int i = 0; i < N; ++i)
148 {
-
149 DCHECK_EQ(ArraySize(dims, i), ArraySize(check_dims_0, i));
+
149 DCHECK_EQ(ArraySize(dims, i), ArraySize(check_dims_0, i));
150 }
-
151 return FlatSize(dims, check_dims_1, check_dims_2, check_dims_3);
+
151 return FlatSize(dims, check_dims_1, check_dims_2, check_dims_3);
152}
153
154// From types.h in TensorFlow Lite
-
155template <int N> bool IsPackedWithoutStrides(const Dims<N> &dims)
+
155template <int N> bool IsPackedWithoutStrides(const Dims<N> &dims)
156{
157 int expected_stride = 1;
158 for (int d = 0; d < N; d++)
@@ -286,20 +286,20 @@
166
167#endif // __DIMS_H__
-
int RequiredBufferSizeForDims(const Dims< 4 > &dims)
Definition Dims.h:94
-
int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
Definition Dims.h:64
-
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
-
bool IsPackedWithoutStrides(const Dims< N > &dims)
Definition Dims.h:155
-
int FlatSize(const Dims< N > &dims)
Definition Dims.h:83
-
int MatchingFlatSize(const Dims< N > &dims, const Dims< N > &check_dims_0)
Definition Dims.h:108
-
Dims< 4 > convertShapeToDims(const Shape &shape)
Definition Dims.h:31
#define DCHECK_EQ(x, y)
Definition Macro.h:29
#define DCHECK(condition)
Definition Macro.h:25
+
int RequiredBufferSizeForDims(const Dims< 4 > &dims)
Definition Dims.h:94
+
int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
Definition Dims.h:64
+
int ArraySize(const Dims< N > &array, int index)
Definition Dims.h:76
+
bool IsPackedWithoutStrides(const Dims< N > &dims)
Definition Dims.h:155
+
int FlatSize(const Dims< N > &dims)
Definition Dims.h:83
+
int MatchingFlatSize(const Dims< N > &dims, const Dims< N > &check_dims_0)
Definition Dims.h:108
+
Dims< 4 > convertShapeToDims(const Shape &shape)
Definition Dims.h:31
uint32_t getSizeOfDimension(const Shape &shape, uint32_t dimensionIdx)
Definition Shape.cpp:60
-
Definition Dims.h:26
-
int sizes[N]
Definition Dims.h:27
-
int strides[N]
Definition Dims.h:28
+
Definition Dims.h:26
+
int sizes[N]
Definition Dims.h:27
+
int strides[N]
Definition Dims.h:28
Definition Shape.h:28
std::vector< uint32_t > dimensions
Definition Shape.h:30
@@ -307,7 +307,7 @@ diff --git a/backend_2gpu__cl_2_tensor_builder_8cc_source.html b/backend_2gpu__cl_2_tensor_builder_8cc_source.html index cb9afa357f5..a2f907f8b1c 100644 --- a/backend_2gpu__cl_2_tensor_builder_8cc_source.html +++ b/backend_2gpu__cl_2_tensor_builder_8cc_source.html @@ -195,9 +195,9 @@
85{
86 auto lifetime_map = cl_common::createLifetimeMap(_lifetime_seq, _parent_map);
87
-
88 for (const auto &entry : lifetime_map)
+
88 for (const auto &entry : lifetime_map)
89 {
-
90 const auto &use = entry.second;
+
90 const auto &use = entry.second;
91 auto use_type = use.first;
92 auto use_index = use.second;
93 assert(use_index.valid());
@@ -225,13 +225,13 @@
114 assert(_tensor_mgr->constTensors().size() == 0);
115 assert(_tensor_mgr->nonconstTensors().size() == 0);
116 // Normal tensors
-
117 for (const auto &entry : _tensor_info_map)
+
117 for (const auto &entry : _tensor_info_map)
118 {
-
119 const auto &ind = entry.first;
+
119 const auto &ind = entry.first;
120 if (_parent_map.count(ind) > 0)
121 continue;
122 auto type = _tensor_type_map.at(ind);
-
123 const auto &info = entry.second;
+
123 const auto &info = entry.second;
124 _tensor_mgr->buildTensor(ind, info, type);
125 }
126}
@@ -261,7 +261,7 @@
const Object & at(const Index &index) const
Get the object that is associated with the given index.
-
int entry(const int argc, char **argv)
Definition Driver.cpp:53
+
int entry(const int argc, char **argv)
Definition Driver.cpp:53
volatile const char info[]
LifetimeMap createLifetimeMap(LifetimeSeq &seq, ir::OperandIndexMap< ParentInfo > &parent_map)
diff --git a/backend_2train_2_kernel_generator_8cc_source.html b/backend_2train_2_kernel_generator_8cc_source.html index ba6b9907270..5666f15d924 100644 --- a/backend_2train_2_kernel_generator_8cc_source.html +++ b/backend_2train_2_kernel_generator_8cc_source.html @@ -663,7 +663,7 @@
const Param & param() const
Definition Softmax.h:53
virtual void accept(OperationVisitor &v) const override=0
-
const ITrainableOperation & operation(OperationIndex index) const
+
const ITrainableOperation & operation(OperationIndex index) const
const Operands & operands() const override
diff --git a/base_8h_source.html b/base_8h_source.html index 331271435ec..2bf2e2598ea 100644 --- a/base_8h_source.html +++ b/base_8h_source.html @@ -527,8 +527,8 @@
432 *reinterpret_cast<T *>(p) = EndianScalar(t);
433}
434
-
435template<typename T> struct Offset;
-
436template<typename T> __supress_ubsan__("alignment") void WriteScalar(void *p, Offset<T> t) {
+
435template<typename T> struct Offset;
+
436template<typename T> __supress_ubsan__("alignment") void WriteScalar(void *p, Offset<T> t) {
437 *reinterpret_cast<uoffset_t *>(p) = EndianScalar(t.o);
438}
439
@@ -546,7 +546,7 @@
451
452} // namespace flatbuffers
453#endif // FLATBUFFERS_BASE_H_
-
int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
Definition Dims.h:64
+
int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
Definition Dims.h:64
#define FLATBUFFERS_ASSERT
Definition base.h:37
__supress_ubsan__("float-cast-overflow") inline void strtoval_impl(float *val
diff --git a/caffe2__dot__dumper_2model__dump_8cpp_source.html b/caffe2__dot__dumper_2model__dump_8cpp_source.html index 1922bc78b7a..774bf370aea 100644 --- a/caffe2__dot__dumper_2model__dump_8cpp_source.html +++ b/caffe2__dot__dumper_2model__dump_8cpp_source.html @@ -125,7 +125,7 @@
26using namespace mir;
27
-
28int main(int argc, const char **argv)
+
28int main(int argc, const char **argv)
29{
30 cli::Option<std::string> predict_net(cli::optname("--predict-net"),
31 cli::overview("Path to the model"));
@@ -160,7 +160,7 @@
void dumpGraph(const Graph *graph, std::ostream &stream)
-
int main()
Definition main.cpp:58
+
int main()
Definition main.cpp:58
diff --git a/caffe2circle_8cpp_source.html b/caffe2circle_8cpp_source.html index d37259c8d3a..2e2eb40b6e7 100644 --- a/caffe2circle_8cpp_source.html +++ b/caffe2circle_8cpp_source.html @@ -121,7 +121,7 @@
22#include <iostream>
23
-
24int main(int argc, char *argv[])
+
24int main(int argc, char *argv[])
25{
26 if (argc != 3)
27 {
@@ -146,7 +146,7 @@
std::unique_ptr< mir::Graph > importModelFromBinaryFile(const std::string &filename)
-
int main()
Definition main.cpp:58
+
int main()
Definition main.cpp:58
diff --git a/caffe__dot__dumper_2model__dump_8cpp_source.html b/caffe__dot__dumper_2model__dump_8cpp_source.html index 23c3a6fe416..d1d3b0f76f9 100644 --- a/caffe__dot__dumper_2model__dump_8cpp_source.html +++ b/caffe__dot__dumper_2model__dump_8cpp_source.html @@ -125,7 +125,7 @@
26using namespace mir;
27
-
28int main(int argc, const char **argv)
+
28int main(int argc, const char **argv)
29{
30 cli::Option<std::string> model_path(cli::optname("--model"), cli::overview("Path to the model"));
@@ -154,7 +154,7 @@
void dumpGraph(const Graph *graph, std::ostream &stream)
-
int main()
Definition main.cpp:58
+
int main()
Definition main.cpp:58
diff --git a/circle2circle_2src_2_test_helper_8h.html b/circle2circle_2src_2_test_helper_8h.html index 7846c2fc8be..561cf2f9baf 100644 --- a/circle2circle_2src_2_test_helper_8h.html +++ b/circle2circle_2src_2_test_helper_8h.html @@ -144,7 +144,7 @@

-

Definition at line 53 of file Driver.cpp.

+

Definition at line 53 of file Driver.cpp.

54{
55 arser::Arser arser("Compare inference results of two circle models");
56
diff --git a/circle2circle_2src_2_test_helper_8h_source.html b/circle2circle_2src_2_test_helper_8h_source.html index 42dd202edb9..d5acecbffc5 100644 --- a/circle2circle_2src_2_test_helper_8h_source.html +++ b/circle2circle_2src_2_test_helper_8h_source.html @@ -157,7 +157,7 @@
54
55#endif // __CIRCLE2CIRCLE_TEST_HELPER_H__
-
int entry(int argc, char **argv)
Dump IR for given arguments.
Definition Driver.cpp:53
+
int entry(int argc, char **argv)
Dump IR for given arguments.
Definition Driver.cpp:53
char * pchar_t
Definition TestHelper.h:29
pchar_t * argv(void)
Definition TestHelper.h:46
diff --git a/circlechef_2core_2src_2_model_chef_8cpp.html b/circlechef_2core_2src_2_model_chef_8cpp.html index 253b01faba5..e858a99cdf9 100644 --- a/circlechef_2core_2src_2_model_chef_8cpp.html +++ b/circlechef_2core_2src_2_model_chef_8cpp.html @@ -104,7 +104,7 @@ #include "OpChef.h"
#include "OpChefs.h"
#include <souschef/Dataset.h>
-#include <souschef/Dims.h>
+#include <souschef/Dims.h>
#include "Log.h"
#include <iterator>
#include <map>
diff --git a/circlechef_2core_2src_2_model_chef_8cpp_source.html b/circlechef_2core_2src_2_model_chef_8cpp_source.html index 0c5f9648846..b01c4dc099b 100644 --- a/circlechef_2core_2src_2_model_chef_8cpp_source.html +++ b/circlechef_2core_2src_2_model_chef_8cpp_source.html @@ -125,7 +125,7 @@
26#include "OpChefs.h"
27
28#include <souschef/Dataset.h>
-
29#include <souschef/Dims.h>
+
29#include <souschef/Dims.h>
30
31#include "Log.h"
32
@@ -733,13 +733,13 @@
This file provides string <-> number cast helpers.
Definition Arguments.h:24
-
Dims< int32_t > as_dims(const SHAPETYPE &shape)
Definition Dims.h:30
+
Dims< int32_t > as_dims(const SHAPETYPE &shape)
Definition Dims.h:30
Dataset< T > as_dataset(const ::google::protobuf::RepeatedPtrField< T > &field)
Definition Dataset.h:72
RangedArguments< InputIt > ranged_arguments(InputIt beg, InputIt end)
-
int32_t element_count(const Dims< int32_t > &dims)
Definition Dims.h:42
+
int32_t element_count(const Dims< int32_t > &dims)
Definition Dims.h:42
- +
virtual const char * base(void) const =0
virtual size_t size(void) const =0
diff --git a/class_leaky_relu_chef.html b/class_leaky_relu_chef.html index 80e98e18d56..ac4f33d48c2 100644 --- a/class_leaky_relu_chef.html +++ b/class_leaky_relu_chef.html @@ -254,7 +254,7 @@

OpChef.

-

Definition at line 19 of file LeakyRelu.cpp.

+

Definition at line 19 of file LeakyRelu.cpp.

20{
21 assert(_operation->has_leaky_relu_options());
22
@@ -274,7 +274,7 @@

LeakyRelu.h -
  • compiler/tflchef/core/src/Op/LeakyRelu.cpp
  • +
  • compiler/tflchef/core/src/Op/LeakyRelu.cpp
  • diff --git a/class_model_builder.html b/class_model_builder.html index c3de0304277..9c6533aefd9 100644 --- a/class_model_builder.html +++ b/class_model_builder.html @@ -314,12 +314,12 @@

    246 return ANEURALNETWORKS_BAD_DATA;
    247 }
    248 mOperations.resize(operationIndex + 1);
    -
    249 auto &entry = mOperations[operationIndex];
    -
    250 entry.type = type;
    +
    249 auto &entry = mOperations[operationIndex];
    +
    250 entry.type = type;
    251
    -
    252 setFromIntList(&entry.inputs, inputCount, inputs);
    -
    253 setFromIntList(&entry.outputs, outputCount, outputs);
    -
    254 for (uint32_t i : entry.inputs)
    +
    252 setFromIntList(&entry.inputs, inputCount, inputs);
    +
    253 setFromIntList(&entry.outputs, outputCount, outputs);
    +
    254 for (uint32_t i : entry.inputs)
    255 {
    256 mOperands[i].numberOfConsumers++;
    257 // TODO mOperands[i].consumers.push_back(operationIndex);
    @@ -333,10 +333,10 @@

    uint32_t inputCount() const
    uint32_t operationCount() const
    uint32_t outputCount() const
    -
    int entry(const int argc, char **argv)
    Definition Driver.cpp:53
    +
    int entry(const int argc, char **argv)
    Definition Driver.cpp:53
    -

    References ANEURALNETWORKS_BAD_DATA, ANEURALNETWORKS_BAD_STATE, ANEURALNETWORKS_NO_ERROR, entry(), inputCount(), LOG, MAX_NUMBER_OF_OPERATIONS, operandCount(), operationCount(), outputCount(), validateOperandList(), and validateOperationType().

    +

    References ANEURALNETWORKS_BAD_DATA, ANEURALNETWORKS_BAD_STATE, ANEURALNETWORKS_NO_ERROR, entry(), inputCount(), LOG, MAX_NUMBER_OF_OPERATIONS, operandCount(), operationCount(), outputCount(), validateOperandList(), and validateOperationType().

    Referenced by ANeuralNetworksModel_addOperation().

    diff --git a/classarser_1_1_helper.html b/classarser_1_1_helper.html index d8d1af2b8b4..6afc84d13b8 100644 --- a/classarser_1_1_helper.html +++ b/classarser_1_1_helper.html @@ -142,7 +142,7 @@

    750 }
    Definition arser.h:38
    -

    Referenced by entry(), and entry().

    +

    Referenced by entry(), and entry().

    @@ -190,7 +190,7 @@

    740 .exit_with(func);
    741 }
    -

    Referenced by entry(), and entry().

    +

    Referenced by entry(), and entry().

    diff --git a/classcircle__eval__diff_1_1_circle_eval_diff.html b/classcircle__eval__diff_1_1_circle_eval_diff.html index db5237afa25..1054d45cc8b 100644 --- a/classcircle__eval__diff_1_1_circle_eval_diff.html +++ b/classcircle__eval__diff_1_1_circle_eval_diff.html @@ -236,7 +236,7 @@

    References circle_eval_diff::interpret(), and circle_eval_diff::makeDataLoader().

    -

    Referenced by entry().

    +

    Referenced by entry().

    @@ -315,7 +315,7 @@

    References circle_eval_diff::MAE, circle_eval_diff::MAPE, circle_eval_diff::MPEIR, circle_eval_diff::MSE, circle_eval_diff::MTOP1, and circle_eval_diff::MTOP5.

    -

    Referenced by entry().

    +

    Referenced by entry().

    diff --git a/classcircle__eval__diff_1_1_directory_loader.html b/classcircle__eval__diff_1_1_directory_loader.html index e2e6454895c..656b6f2706d 100644 --- a/classcircle__eval__diff_1_1_directory_loader.html +++ b/classcircle__eval__diff_1_1_directory_loader.html @@ -164,25 +164,25 @@

    164 throw std::runtime_error("Cannot open directory \"" + dir_path + "\".");
    165 }
    166
    -
    +
    167 struct dirent *entry = nullptr;
    168 const auto input_total_bytes = getTotalByteSizeOf(input_nodes);
    -
    169 while ((entry = readdir(dir)))
    +
    169 while ((entry = readdir(dir)))
    170 {
    171 // Skip if the entry is not a regular file
    -
    172 if (entry->d_type != DT_REG)
    +
    172 if (entry->d_type != DT_REG)
    173 continue;
    174
    -
    175 _data_paths.push_back(dir_path + "/" + entry->d_name);
    +
    175 _data_paths.push_back(dir_path + "/" + entry->d_name);
    176 }
    177
    178 closedir(dir);
    179}
    -
    int entry(const int argc, char **argv)
    Definition Driver.cpp:53
    +
    int entry(const int argc, char **argv)
    Definition Driver.cpp:53
    size_t getTotalByteSizeOf(const std::vector< loco::Node * > &nodes)
    std::vector< Node * > input_nodes(const Graph *)
    Definition Graph.cpp:71
    -

    References circle_eval_diff::DIR, entry(), and circle_eval_diff::getTotalByteSizeOf().

    +

    References circle_eval_diff::DIR, entry(), and circle_eval_diff::getTotalByteSizeOf().

    diff --git a/classcircledump_1_1_op_table_printer.html b/classcircledump_1_1_op_table_printer.html index d5bc710abab..0af1f5ac371 100644 --- a/classcircledump_1_1_op_table_printer.html +++ b/classcircledump_1_1_op_table_printer.html @@ -166,7 +166,7 @@

    78 // entry number
    79 const uint32_t num = *reinterpret_cast<const uint32_t *>(cur);
    80 cur += sizeof(uint32_t);
    -
    +
    81 for (uint32_t entry = 0; entry < num; entry++)
    82 {
    83 // id
    84 const uint32_t node_id = *reinterpret_cast<const uint32_t *>(cur);
    @@ -196,9 +196,9 @@

    108 }
    109 }
    110 }
    -
    int entry(const int argc, char **argv)
    Definition Driver.cpp:53
    +
    int entry(const int argc, char **argv)
    Definition Driver.cpp:53
    -

    References entry().

    +

    References entry().

    diff --git a/classcircledump_1_1_source_table_printer.html b/classcircledump_1_1_source_table_printer.html index 4586dc3ca49..bc1db68f847 100644 --- a/classcircledump_1_1_source_table_printer.html +++ b/classcircledump_1_1_source_table_printer.html @@ -166,7 +166,7 @@

    40 // entry number
    41 const uint32_t num = *reinterpret_cast<const uint32_t *>(cur);
    42 cur += sizeof(uint32_t);
    -
    +
    43 for (uint32_t entry = 0; entry < num; entry++)
    44 {
    45 // id
    46 const uint32_t node_id = *reinterpret_cast<const uint32_t *>(cur);
    @@ -185,9 +185,9 @@

    59 }
    60 }
    61 }
    -
    int entry(const int argc, char **argv)
    Definition Driver.cpp:53
    +
    int entry(const int argc, char **argv)
    Definition Driver.cpp:53
    -

    References entry().

    +

    References entry().

    diff --git a/classcirops_1_1_dump_operators.html b/classcirops_1_1_dump_operators.html index 1cc63ad3433..4b53966a003 100644 --- a/classcirops_1_1_dump_operators.html +++ b/classcirops_1_1_dump_operators.html @@ -185,7 +185,7 @@

    References cirops::DumpOption::all_graphs, mio::circle::Reader::num_subgraph(), and mio::circle::Reader::select_subgraph().

    -

    Referenced by entry(), and package.libnnfw_api_pybind.nnfw_session_wrapper::inference().

    +

    Referenced by entry(), and package.libnnfw_api_pybind.nnfw_session_wrapper::inference().

    diff --git a/classcli_1_1_function_command.html b/classcli_1_1_function_command.html index 4bb7abdbce0..6d20ee12adb 100644 --- a/classcli_1_1_function_command.html +++ b/classcli_1_1_function_command.html @@ -115,7 +115,7 @@ - + @@ -169,11 +169,11 @@

    Definition at line 32 of file FunctionCommand.h.

    -
    32 : _entry{entry}
    +
    32 : _entry{entry}
    33 {
    34 // DO NOTHING
    35 }
    -
    int entry(const int argc, char **argv)
    Definition Driver.cpp:53
    +
    int entry(const int argc, char **argv)
    Definition Driver.cpp:53
    diff --git a/classcmdline_1_1_vector.html b/classcmdline_1_1_vector.html index 10a2a99cfe1..02b29659bed 100644 --- a/classcmdline_1_1_vector.html +++ b/classcmdline_1_1_vector.html @@ -126,7 +126,7 @@

    Public Member Functions

     FunctionCommand (const Entry &entry)
     FunctionCommand (const Entry &entry)
     
    int run (int argc, const char *const *argv) const override
     

    Detailed Description

    -

    Definition at line 31 of file Driver.cpp.

    +

    Definition at line 31 of file Driver.cpp.

    Member Function Documentation

    ◆ append() [1/2]

    @@ -152,7 +152,7 @@

    -

    Definition at line 40 of file Driver.cpp.

    +

    Definition at line 40 of file Driver.cpp.

    41 {
    42 _args.emplace_back(arg);
    43 return (*this);
    @@ -184,7 +184,7 @@

    -

    Definition at line 42 of file Driver.cpp.

    +

    Definition at line 42 of file Driver.cpp.

    43 {
    44 _args.emplace_back(arg);
    45 return (*this);
    @@ -218,7 +218,7 @@

    cmdline::View.

    -

    Definition at line 37 of file Driver.cpp.

    +

    Definition at line 37 of file Driver.cpp.

    37{ return _args.at(nth).c_str(); }

    @@ -249,7 +249,7 @@

    cmdline::View.

    -

    Definition at line 39 of file Driver.cpp.

    +

    Definition at line 39 of file Driver.cpp.

    39{ return _args.at(nth).c_str(); }

    @@ -280,7 +280,7 @@

    cmdline::View.

    -

    Definition at line 34 of file Driver.cpp.

    +

    Definition at line 34 of file Driver.cpp.

    34{ return _args.size(); }
    @@ -311,14 +311,14 @@

    cmdline::View.

    -

    Definition at line 36 of file Driver.cpp.

    +

    Definition at line 36 of file Driver.cpp.

    36{ return _args.size(); }

    The documentation for this class was generated from the following files: diff --git a/classenco_1_1_cpp_code.html b/classenco_1_1_cpp_code.html index d6ca5c8ebc7..b9a1356c476 100644 --- a/classenco_1_1_cpp_code.html +++ b/classenco_1_1_cpp_code.html @@ -573,7 +573,7 @@

    lines
    -
    Dims< uint32_t > as_dims(const nncc::core::ADT::tensor::Shape &)
    Definition dims.cpp:24
    +
    Dims< uint32_t > as_dims(const nncc::core::ADT::tensor::Shape &)
    Definition dims.cpp:24
    int32_t size[5]
    Definition Slice.cpp:35
    coco::Module * module(void) const
    Definition Code.h:37
    coco::Data * data(void) const
    Definition Code.h:38
    diff --git a/classexo_1_1_t_f_l_exporter.html b/classexo_1_1_t_f_l_exporter.html index 30ea38ff9a7..10144a60da7 100644 --- a/classexo_1_1_t_f_l_exporter.html +++ b/classexo_1_1_t_f_l_exporter.html @@ -227,7 +227,7 @@

    References INTERNAL_EXN, and size.

    -

    Referenced by main().

    +

    Referenced by main().

    diff --git a/classflatbuffers_1_1_flat_buffer_builder.html b/classflatbuffers_1_1_flat_buffer_builder.html index b8a76ea3245..55a133c34ce 100644 --- a/classflatbuffers_1_1_flat_buffer_builder.html +++ b/classflatbuffers_1_1_flat_buffer_builder.html @@ -2693,7 +2693,7 @@

    References Finish().

    -

    Referenced by tflite2circle::build_circle_AbsOptions(), tflite2circle::build_circle_AddNOptions(), tflite2circle::build_circle_AddOptions(), tflite2circle::build_circle_ArgMaxOptions(), tflite2circle::build_circle_ArgMinOptions(), tflite2circle::build_circle_BatchMatMulOptions(), tflite2circle::build_circle_BatchToSpaceNDOptions(), tflite2circle::build_circle_BidirectionalSequenceLSTMOptions(), tflite2circle::build_circle_BroadcastToOptions(), tflite2circle::build_circle_CastOptions(), tflite2circle::build_circle_ConcatenationOptions(), tflite2circle::build_circle_Conv2DOptions(), tflite2circle::build_circle_CosOptions(), tflite2circle::build_circle_CumsumOptions(), tflite2circle::build_circle_DensifyOptions(), tflite2circle::build_circle_DepthToSpaceOptions(), tflite2circle::build_circle_DepthwiseConv2DOptions(), tflite2circle::build_circle_DequantizeOptions(), tflite2circle::build_circle_DivOptions(), tflite2circle::build_circle_EqualOptions(), tflite2circle::build_circle_ExpandDimsOptions(), tflite2circle::build_circle_ExpOptions(), tflite2circle::build_circle_FakeQuantOptions(), tflite2circle::build_circle_FillOptions(), tflite2circle::build_circle_FloorDivOptions(), tflite2circle::build_circle_FloorModOptions(), tflite2circle::build_circle_FullyConnectedOptions(), tflite2circle::build_circle_GatherNdOptions(), tflite2circle::build_circle_GatherOptions(), tflite2circle::build_circle_GeluOptions(), tflite2circle::build_circle_GreaterEqualOptions(), tflite2circle::build_circle_GreaterOptions(), tflite2circle::build_circle_IfOptions(), tflite2circle::build_circle_L2NormOptions(), tflite2circle::build_circle_LeakyReluOptions(), tflite2circle::build_circle_LessEqualOptions(), tflite2circle::build_circle_LessOptions(), tflite2circle::build_circle_LocalResponseNormalizationOptions(), tflite2circle::build_circle_LogicalAndOptions(), tflite2circle::build_circle_LogicalNotOptions(), tflite2circle::build_circle_LogicalOrOptions(), tflite2circle::build_circle_LogSoftmaxOptions(), tflite2circle::build_circle_MatrixDiagOptions(), tflite2circle::build_circle_MatrixSetDiagOptions(), tflite2circle::build_circle_MaximumMinimumOptions(), tflite2circle::build_circle_MirrorPadOptions(), tflite2circle::build_circle_MulOptions(), tflite2circle::build_circle_NegOptions(), tflite2circle::build_circle_NonMaxSuppressionV4Options(), tflite2circle::build_circle_NonMaxSuppressionV5Options(), tflite2circle::build_circle_NotEqualOptions(), tflite2circle::build_circle_OneHotOptions(), tflite2circle::build_circle_PackOptions(), tflite2circle::build_circle_PadOptions(), tflite2circle::build_circle_PadV2Options(), tflite2circle::build_circle_Pool2DOptions(), tflite2circle::build_circle_PowOptions(), tflite2circle::build_circle_RangeOptions(), tflite2circle::build_circle_RankOptions(), tflite2circle::build_circle_ReducerOptions(), tflite2circle::build_circle_ReshapeOptions(), tflite2circle::build_circle_ResizeBilinearOptions(), tflite2circle::build_circle_ResizeNearestNeighborOptions(), tflite2circle::build_circle_ReverseSequenceOptions(), tflite2circle::build_circle_ReverseV2Options(), tflite2circle::build_circle_ScatterNdOptions(), tflite2circle::build_circle_SegmentSumOptions(), tflite2circle::build_circle_SelectOptions(), tflite2circle::build_circle_SelectV2Options(), tflite2circle::build_circle_ShapeOptions(), tflite2circle::build_circle_SliceOptions(), tflite2circle::build_circle_SoftmaxOptions(), tflite2circle::build_circle_SpaceToBatchNDOptions(), tflite2circle::build_circle_SpaceToDepthOptions(), tflite2circle::build_circle_SparseToDenseOptions(), tflite2circle::build_circle_SplitOptions(), tflite2circle::build_circle_SplitVOptions(), tflite2circle::build_circle_SquaredDifferenceOptions(), tflite2circle::build_circle_SquareOptions(), tflite2circle::build_circle_SqueezeOptions(), tflite2circle::build_circle_StridedSliceOptions(), tflite2circle::build_circle_SubOptions(), tflite2circle::build_circle_SVDFOptions(), tflite2circle::build_circle_TileOptions(), tflite2circle::build_circle_TopKV2Options(), tflite2circle::build_circle_TransposeConvOptions(), tflite2circle::build_circle_TransposeOptions(), tflite2circle::build_circle_UnidirectionalSequenceLSTMOptions(), tflite2circle::build_circle_UniqueOptions(), tflite2circle::build_circle_UnpackOptions(), tflite2circle::build_circle_WhereOptions(), tflite2circle::build_circle_WhileOptions(), tflite2circle::build_circle_ZerosLikeOptions(), Finish(), FinishSizePrefixed(), tflite2circle::get_circle_sparse_index_vector(), BatchMatMulChef::value(), BCQFullyConnectedChef::value(), BCQGatherChef::value(), InstanceNormChef::value(), AbsChef::value(), AddChef::value(), AddNChef::value(), ArgMaxChef::value(), ArgMinChef::value(), AveragePool2DChef::value(), BatchToSpaceNDChef::value(), CastChef::value(), ConcatenationChef::value(), Conv2DChef::value(), CosChef::value(), CumSumChef::value(), DensifyChef::value(), DepthToSpaceChef::value(), DepthwiseConv2DChef::value(), DivChef::value(), EqualChef::value(), ExpChef::value(), ExpandDimsChef::value(), FakeQuantChef::value(), FillChef::value(), FloorDivChef::value(), FloorModChef::value(), FullyConnectedChef::value(), GatherChef::value(), GatherNdChef::value(), GeluChef::value(), GreaterChef::value(), GreaterEqualChef::value(), IfChef::value(), L2Pool2DChef::value(), LeakyReluChef::value(), LessChef::value(), LessEqualChef::value(), LocalResponseNormalizationChef::value(), LogicalAndChef::value(), LogicalNotChef::value(), LogicalOrChef::value(), LogSoftmaxChef::value(), MatrixDiagChef::value(), MatrixSetDiagChef::value(), MaximumChef::value(), MaxPool2DChef::value(), MeanChef::value(), MinimumChef::value(), MirrorPadChef::value(), MulChef::value(), NegChef::value(), NonMaxSuppressionV4Chef::value(), NonMaxSuppressionV5Chef::value(), NotEqualChef::value(), OneHotChef::value(), PackChef::value(), PadChef::value(), PadV2Chef::value(), PowChef::value(), RangeChef::value(), RankChef::value(), ReduceAnyChef::value(), ReduceMaxChef::value(), ReduceMinChef::value(), ReduceProdChef::value(), ReshapeChef::value(), ResizeBilinearChef::value(), ResizeNearestNeighborChef::value(), ReverseSequenceChef::value(), ReverseV2Chef::value(), ScatterNdChef::value(), SegmentSumChef::value(), SelectChef::value(), SelectV2Chef::value(), ShapeChef::value(), SliceChef::value(), SoftmaxChef::value(), SpaceToBatchNDChef::value(), SpaceToDepthChef::value(), SplitChef::value(), SplitVChef::value(), SquareChef::value(), SquaredDifferenceChef::value(), StridedSliceChef::value(), SubChef::value(), SumChef::value(), SVDFChef::value(), TileChef::value(), TopKV2Chef::value(), TransposeChef::value(), UniqueChef::value(), UnpackChef::value(), WhereChef::value(), WhileChef::value(), and ZerosLikeChef::value().

    +

    Referenced by tflite2circle::build_circle_AbsOptions(), tflite2circle::build_circle_AddNOptions(), tflite2circle::build_circle_AddOptions(), tflite2circle::build_circle_ArgMaxOptions(), tflite2circle::build_circle_ArgMinOptions(), tflite2circle::build_circle_BatchMatMulOptions(), tflite2circle::build_circle_BatchToSpaceNDOptions(), tflite2circle::build_circle_BidirectionalSequenceLSTMOptions(), tflite2circle::build_circle_BroadcastToOptions(), tflite2circle::build_circle_CastOptions(), tflite2circle::build_circle_ConcatenationOptions(), tflite2circle::build_circle_Conv2DOptions(), tflite2circle::build_circle_CosOptions(), tflite2circle::build_circle_CumsumOptions(), tflite2circle::build_circle_DensifyOptions(), tflite2circle::build_circle_DepthToSpaceOptions(), tflite2circle::build_circle_DepthwiseConv2DOptions(), tflite2circle::build_circle_DequantizeOptions(), tflite2circle::build_circle_DivOptions(), tflite2circle::build_circle_EqualOptions(), tflite2circle::build_circle_ExpandDimsOptions(), tflite2circle::build_circle_ExpOptions(), tflite2circle::build_circle_FakeQuantOptions(), tflite2circle::build_circle_FillOptions(), tflite2circle::build_circle_FloorDivOptions(), tflite2circle::build_circle_FloorModOptions(), tflite2circle::build_circle_FullyConnectedOptions(), tflite2circle::build_circle_GatherNdOptions(), tflite2circle::build_circle_GatherOptions(), tflite2circle::build_circle_GeluOptions(), tflite2circle::build_circle_GreaterEqualOptions(), tflite2circle::build_circle_GreaterOptions(), tflite2circle::build_circle_IfOptions(), tflite2circle::build_circle_L2NormOptions(), tflite2circle::build_circle_LeakyReluOptions(), tflite2circle::build_circle_LessEqualOptions(), tflite2circle::build_circle_LessOptions(), tflite2circle::build_circle_LocalResponseNormalizationOptions(), tflite2circle::build_circle_LogicalAndOptions(), tflite2circle::build_circle_LogicalNotOptions(), tflite2circle::build_circle_LogicalOrOptions(), tflite2circle::build_circle_LogSoftmaxOptions(), tflite2circle::build_circle_MatrixDiagOptions(), tflite2circle::build_circle_MatrixSetDiagOptions(), tflite2circle::build_circle_MaximumMinimumOptions(), tflite2circle::build_circle_MirrorPadOptions(), tflite2circle::build_circle_MulOptions(), tflite2circle::build_circle_NegOptions(), tflite2circle::build_circle_NonMaxSuppressionV4Options(), tflite2circle::build_circle_NonMaxSuppressionV5Options(), tflite2circle::build_circle_NotEqualOptions(), tflite2circle::build_circle_OneHotOptions(), tflite2circle::build_circle_PackOptions(), tflite2circle::build_circle_PadOptions(), tflite2circle::build_circle_PadV2Options(), tflite2circle::build_circle_Pool2DOptions(), tflite2circle::build_circle_PowOptions(), tflite2circle::build_circle_RangeOptions(), tflite2circle::build_circle_RankOptions(), tflite2circle::build_circle_ReducerOptions(), tflite2circle::build_circle_ReshapeOptions(), tflite2circle::build_circle_ResizeBilinearOptions(), tflite2circle::build_circle_ResizeNearestNeighborOptions(), tflite2circle::build_circle_ReverseSequenceOptions(), tflite2circle::build_circle_ReverseV2Options(), tflite2circle::build_circle_ScatterNdOptions(), tflite2circle::build_circle_SegmentSumOptions(), tflite2circle::build_circle_SelectOptions(), tflite2circle::build_circle_SelectV2Options(), tflite2circle::build_circle_ShapeOptions(), tflite2circle::build_circle_SliceOptions(), tflite2circle::build_circle_SoftmaxOptions(), tflite2circle::build_circle_SpaceToBatchNDOptions(), tflite2circle::build_circle_SpaceToDepthOptions(), tflite2circle::build_circle_SparseToDenseOptions(), tflite2circle::build_circle_SplitOptions(), tflite2circle::build_circle_SplitVOptions(), tflite2circle::build_circle_SquaredDifferenceOptions(), tflite2circle::build_circle_SquareOptions(), tflite2circle::build_circle_SqueezeOptions(), tflite2circle::build_circle_StridedSliceOptions(), tflite2circle::build_circle_SubOptions(), tflite2circle::build_circle_SVDFOptions(), tflite2circle::build_circle_TileOptions(), tflite2circle::build_circle_TopKV2Options(), tflite2circle::build_circle_TransposeConvOptions(), tflite2circle::build_circle_TransposeOptions(), tflite2circle::build_circle_UnidirectionalSequenceLSTMOptions(), tflite2circle::build_circle_UniqueOptions(), tflite2circle::build_circle_UnpackOptions(), tflite2circle::build_circle_WhereOptions(), tflite2circle::build_circle_WhileOptions(), tflite2circle::build_circle_ZerosLikeOptions(), Finish(), FinishSizePrefixed(), tflite2circle::get_circle_sparse_index_vector(), BatchMatMulChef::value(), BCQFullyConnectedChef::value(), BCQGatherChef::value(), InstanceNormChef::value(), AbsChef::value(), AddChef::value(), AddNChef::value(), ArgMaxChef::value(), ArgMinChef::value(), AveragePool2DChef::value(), BatchToSpaceNDChef::value(), CastChef::value(), ConcatenationChef::value(), Conv2DChef::value(), CosChef::value(), CumSumChef::value(), DensifyChef::value(), DepthToSpaceChef::value(), DepthwiseConv2DChef::value(), DivChef::value(), EqualChef::value(), ExpChef::value(), ExpandDimsChef::value(), FakeQuantChef::value(), FillChef::value(), FloorDivChef::value(), FloorModChef::value(), FullyConnectedChef::value(), GatherChef::value(), GatherNdChef::value(), GeluChef::value(), GreaterChef::value(), GreaterEqualChef::value(), IfChef::value(), L2Pool2DChef::value(), LeakyReluChef::value(), LessChef::value(), LessEqualChef::value(), LocalResponseNormalizationChef::value(), LogicalAndChef::value(), LogicalNotChef::value(), LogicalOrChef::value(), LogSoftmaxChef::value(), MatrixDiagChef::value(), MatrixSetDiagChef::value(), MaximumChef::value(), MaxPool2DChef::value(), MeanChef::value(), MinimumChef::value(), MirrorPadChef::value(), MulChef::value(), NegChef::value(), NonMaxSuppressionV4Chef::value(), NonMaxSuppressionV5Chef::value(), NotEqualChef::value(), OneHotChef::value(), PackChef::value(), PadChef::value(), PadV2Chef::value(), PowChef::value(), RangeChef::value(), RankChef::value(), ReduceAnyChef::value(), ReduceMaxChef::value(), ReduceMinChef::value(), ReduceProdChef::value(), ReshapeChef::value(), ResizeBilinearChef::value(), ResizeNearestNeighborChef::value(), ReverseSequenceChef::value(), ReverseV2Chef::value(), ScatterNdChef::value(), SegmentSumChef::value(), SelectChef::value(), SelectV2Chef::value(), ShapeChef::value(), SliceChef::value(), SoftmaxChef::value(), SpaceToBatchNDChef::value(), SpaceToDepthChef::value(), SplitChef::value(), SplitVChef::value(), SquareChef::value(), SquaredDifferenceChef::value(), StridedSliceChef::value(), SubChef::value(), SumChef::value(), SVDFChef::value(), TileChef::value(), TopKV2Chef::value(), TransposeChef::value(), UniqueChef::value(), UnpackChef::value(), WhereChef::value(), WhileChef::value(), and ZerosLikeChef::value().

    diff --git a/classflatbuffers_1_1_vector.html b/classflatbuffers_1_1_vector.html index ef3dc0668d5..33119cbd3c3 100644 --- a/classflatbuffers_1_1_vector.html +++ b/classflatbuffers_1_1_vector.html @@ -645,7 +645,7 @@

    References flatbuffers::Vector< T >::length_.

    -

    Referenced by flatbuffers::Vector< T >::begin(), flatbuffers::Vector< T >::begin(), flatbuffers::Vector< T >::data(), flatbuffers::Vector< T >::data(), flatbuffers::Vector< T >::end(), flatbuffers::Vector< T >::end(), flatbuffers::Vector< T >::Get(), flatbuffers::Vector< T >::GetMutableObject(), flatbuffers::Vector< T >::GetStructFromOffset(), flatbuffers::IterateObject(), flatbuffers::Vector< T >::LookupByKey(), flatbuffers::Vector< T >::MutateOffset(), and nnfw_session::train_export_circle().

    +

    Referenced by flatbuffers::Vector< T >::begin(), flatbuffers::Vector< T >::begin(), flatbuffers::Vector< T >::data(), flatbuffers::Vector< T >::data(), flatbuffers::Vector< T >::end(), flatbuffers::Vector< T >::end(), flatbuffers::Vector< T >::Get(), flatbuffers::Vector< T >::GetMutableObject(), flatbuffers::Vector< T >::GetStructFromOffset(), flatbuffers::IterateObject(), flatbuffers::Vector< T >::LookupByKey(), flatbuffers::Vector< T >::MutateOffset(), and nnfw_session::train_export_circle().

    @@ -679,7 +679,7 @@

    References flatbuffers::Vector< T >::Data().

    -

    Referenced by flatbuffers::Vector< T >::Mutate(), flatbuffers::Vector< T >::MutateOffset(), flatbuffers::String::operator<(), circledump::CustomOpPrinter::options(), tfldump::CustomOpPrinter::options(), and nnfw_session::train_export_circle().

    +

    Referenced by flatbuffers::Vector< T >::Mutate(), flatbuffers::Vector< T >::MutateOffset(), flatbuffers::String::operator<(), circledump::CustomOpPrinter::options(), tfldump::CustomOpPrinter::options(), and nnfw_session::train_export_circle().

    @@ -1340,7 +1340,7 @@

    References flatbuffers::Vector< T >::length_.

    -

    Referenced by tflimport::as_index_vector(), circlechef::as_index_vector(), tflinspect::as_index_vector(), tflchef::as_index_vector(), tflread::as_index_vector(), tflimport::as_tensor_shape(), flatbuffers::Vector< T >::end(), flatbuffers::Vector< T >::end(), flatbuffers::Vector< T >::FLATBUFFERS_ATTRIBUTE(), flatbuffers::Vector< T >::Get(), flatbuffers::Vector< T >::GetMutableObject(), onert_micro::core::OMRuntimeGraph::getNumberOfOutputs(), flatbuffers::Vector< T >::LookupByKey(), flatbuffers::Vector< T >::Mutate(), flatbuffers::Vector< T >::MutateOffset(), circlechef::CircleImport::num_subgraph(), mio::circle::Reader::num_subgraph(), tflinspect::Reader::num_subgraph(), tflchef::TFliteImport::num_subgraph(), tflread::Reader::num_subgraph(), flatbuffers::String::operator<(), circledump::operator<<(), tfldump::operator<<(), circledump::CustomOpPrinter::options(), tfldump::CustomOpPrinter::options(), flatbuffers::ResizeVector(), circlechef::CircleImport::select_sub_graph(), tflchef::TFliteImport::select_sub_graph(), tflinspect::Reader::select_subgraph(), tflread::Reader::select_subgraph(), tflimport::TflBufferContext::TflBufferContext(), and nnfw_session::train_export_circle().

    +

    Referenced by tflimport::as_index_vector(), circlechef::as_index_vector(), tflinspect::as_index_vector(), tflchef::as_index_vector(), tflread::as_index_vector(), tflimport::as_tensor_shape(), flatbuffers::Vector< T >::end(), flatbuffers::Vector< T >::end(), flatbuffers::Vector< T >::FLATBUFFERS_ATTRIBUTE(), flatbuffers::Vector< T >::Get(), flatbuffers::Vector< T >::GetMutableObject(), onert_micro::core::OMRuntimeGraph::getNumberOfOutputs(), flatbuffers::Vector< T >::LookupByKey(), flatbuffers::Vector< T >::Mutate(), flatbuffers::Vector< T >::MutateOffset(), circlechef::CircleImport::num_subgraph(), mio::circle::Reader::num_subgraph(), tflinspect::Reader::num_subgraph(), tflchef::TFliteImport::num_subgraph(), tflread::Reader::num_subgraph(), flatbuffers::String::operator<(), circledump::operator<<(), tfldump::operator<<(), circledump::CustomOpPrinter::options(), tfldump::CustomOpPrinter::options(), flatbuffers::ResizeVector(), circlechef::CircleImport::select_sub_graph(), tflchef::TFliteImport::select_sub_graph(), tflinspect::Reader::select_subgraph(), tflread::Reader::select_subgraph(), tflimport::TflBufferContext::TflBufferContext(), and nnfw_session::train_export_circle().

    diff --git a/classluci__interpreter_1_1_kernel_builder_helper.html b/classluci__interpreter_1_1_kernel_builder_helper.html index cb77e3e97b5..de0c0edb9a2 100644 --- a/classluci__interpreter_1_1_kernel_builder_helper.html +++ b/classluci__interpreter_1_1_kernel_builder_helper.html @@ -189,7 +189,7 @@

    -

    Referenced by luci_interpreter::build_kernel_CircleAbs(), luci_interpreter::build_kernel_CircleAdd(), luci_interpreter::build_kernel_CircleArgMax(), luci_interpreter::build_kernel_CircleAveragePool2D(), luci_interpreter::build_kernel_CircleBatchMatMul(), luci_interpreter::build_kernel_CircleBatchToSpaceND(), luci_interpreter::build_kernel_CircleBroadcastTo(), luci_interpreter::build_kernel_CircleCast(), luci_interpreter::build_kernel_CircleConcatenation(), luci_interpreter::build_kernel_CircleConv2D(), luci_interpreter::build_kernel_CircleCos(), luci_interpreter::build_kernel_CircleCumSum(), luci_interpreter::build_kernel_CircleDepthToSpace(), luci_interpreter::build_kernel_CircleDepthwiseConv2D(), luci_interpreter::build_kernel_CircleDequantize(), luci_interpreter::build_kernel_CircleDiv(), luci_interpreter::build_kernel_CircleElu(), luci_interpreter::build_kernel_CircleEqual(), luci_interpreter::build_kernel_CircleExp(), luci_interpreter::build_kernel_CircleExpandDims(), luci_interpreter::build_kernel_CircleFill(), luci_interpreter::build_kernel_CircleFloor(), luci_interpreter::build_kernel_CircleFloorDiv(), luci_interpreter::build_kernel_CircleFloorMod(), luci_interpreter::build_kernel_CircleFullyConnected(), luci_interpreter::build_kernel_CircleGather(), luci_interpreter::build_kernel_CircleGelu(), luci_interpreter::build_kernel_CircleGreater(), luci_interpreter::build_kernel_CircleGreaterEqual(), luci_interpreter::build_kernel_CircleHardSwish(), luci_interpreter::build_kernel_CircleIf(), luci_interpreter::build_kernel_CircleInstanceNorm(), luci_interpreter::build_kernel_CircleL2Normalize(), luci_interpreter::build_kernel_CircleL2Pool2D(), luci_interpreter::build_kernel_CircleLeakyRelu(), luci_interpreter::build_kernel_CircleLess(), luci_interpreter::build_kernel_CircleLessEqual(), luci_interpreter::build_kernel_CircleLocalResponseNormalization(), luci_interpreter::build_kernel_CircleLog(), luci_interpreter::build_kernel_CircleLogicalAnd(), luci_interpreter::build_kernel_CircleLogicalNot(), luci_interpreter::build_kernel_CircleLogicalOr(), luci_interpreter::build_kernel_CircleLogistic(), luci_interpreter::build_kernel_CircleLogSoftmax(), luci_interpreter::build_kernel_CircleMaximum(), luci_interpreter::build_kernel_CircleMaxPool2D(), luci_interpreter::build_kernel_CircleMean(), luci_interpreter::build_kernel_CircleMinimum(), luci_interpreter::build_kernel_CircleMirrorPad(), luci_interpreter::build_kernel_CircleMul(), luci_interpreter::build_kernel_CircleNeg(), luci_interpreter::build_kernel_CircleNotEqual(), luci_interpreter::build_kernel_CircleOneHot(), luci_interpreter::build_kernel_CirclePack(), luci_interpreter::build_kernel_CirclePad(), luci_interpreter::build_kernel_CirclePadV2(), luci_interpreter::build_kernel_CirclePow(), luci_interpreter::build_kernel_CirclePRelu(), luci_interpreter::build_kernel_CircleQuantize(), luci_interpreter::build_kernel_CircleReduceMax(), luci_interpreter::build_kernel_CircleReduceProd(), luci_interpreter::build_kernel_CircleRelu(), luci_interpreter::build_kernel_CircleRelu6(), luci_interpreter::build_kernel_CircleReshape(), luci_interpreter::build_kernel_CircleResizeBilinear(), luci_interpreter::build_kernel_CircleResizeNearestNeighbor(), luci_interpreter::build_kernel_CircleReverseV2(), luci_interpreter::build_kernel_CircleRsqrt(), luci_interpreter::build_kernel_CircleSelect(), luci_interpreter::build_kernel_CircleSelectV2(), luci_interpreter::build_kernel_CircleShape(), luci_interpreter::build_kernel_CircleSin(), luci_interpreter::build_kernel_CircleSlice(), luci_interpreter::build_kernel_CircleSoftmax(), luci_interpreter::build_kernel_CircleSpaceToBatchND(), luci_interpreter::build_kernel_CircleSpaceToDepth(), luci_interpreter::build_kernel_CircleSplit(), luci_interpreter::build_kernel_CircleSplitV(), luci_interpreter::build_kernel_CircleSqrt(), luci_interpreter::build_kernel_CircleSquare(), luci_interpreter::build_kernel_CircleSquaredDifference(), luci_interpreter::build_kernel_CircleSqueeze(), luci_interpreter::build_kernel_CircleStridedSlice(), luci_interpreter::build_kernel_CircleSub(), luci_interpreter::build_kernel_CircleSum(), luci_interpreter::build_kernel_CircleSVDF(), luci_interpreter::build_kernel_CircleTanh(), luci_interpreter::build_kernel_CircleTile(), luci_interpreter::build_kernel_CircleTranspose(), luci_interpreter::build_kernel_CircleTransposeConv(), luci_interpreter::build_kernel_CircleUnidirectionalSequenceLSTM(), luci_interpreter::build_kernel_CircleUnpack(), luci_interpreter::build_kernel_CircleWhile(), and getOptionalInputTensor().

    +

    Referenced by luci_interpreter::build_kernel_CircleAbs(), luci_interpreter::build_kernel_CircleAdd(), luci_interpreter::build_kernel_CircleArgMax(), luci_interpreter::build_kernel_CircleAveragePool2D(), luci_interpreter::build_kernel_CircleBatchMatMul(), luci_interpreter::build_kernel_CircleBatchToSpaceND(), luci_interpreter::build_kernel_CircleBroadcastTo(), luci_interpreter::build_kernel_CircleCast(), luci_interpreter::build_kernel_CircleConcatenation(), luci_interpreter::build_kernel_CircleConv2D(), luci_interpreter::build_kernel_CircleCos(), luci_interpreter::build_kernel_CircleCumSum(), luci_interpreter::build_kernel_CircleDepthToSpace(), luci_interpreter::build_kernel_CircleDepthwiseConv2D(), luci_interpreter::build_kernel_CircleDequantize(), luci_interpreter::build_kernel_CircleDiv(), luci_interpreter::build_kernel_CircleElu(), luci_interpreter::build_kernel_CircleEqual(), luci_interpreter::build_kernel_CircleExp(), luci_interpreter::build_kernel_CircleExpandDims(), luci_interpreter::build_kernel_CircleFill(), luci_interpreter::build_kernel_CircleFloor(), luci_interpreter::build_kernel_CircleFloorDiv(), luci_interpreter::build_kernel_CircleFloorMod(), luci_interpreter::build_kernel_CircleFullyConnected(), luci_interpreter::build_kernel_CircleGather(), luci_interpreter::build_kernel_CircleGelu(), luci_interpreter::build_kernel_CircleGreater(), luci_interpreter::build_kernel_CircleGreaterEqual(), luci_interpreter::build_kernel_CircleHardSwish(), luci_interpreter::build_kernel_CircleIf(), luci_interpreter::build_kernel_CircleInstanceNorm(), luci_interpreter::build_kernel_CircleL2Normalize(), luci_interpreter::build_kernel_CircleL2Pool2D(), luci_interpreter::build_kernel_CircleLeakyRelu(), luci_interpreter::build_kernel_CircleLess(), luci_interpreter::build_kernel_CircleLessEqual(), luci_interpreter::build_kernel_CircleLocalResponseNormalization(), luci_interpreter::build_kernel_CircleLog(), luci_interpreter::build_kernel_CircleLogicalAnd(), luci_interpreter::build_kernel_CircleLogicalNot(), luci_interpreter::build_kernel_CircleLogicalOr(), luci_interpreter::build_kernel_CircleLogistic(), luci_interpreter::build_kernel_CircleLogSoftmax(), luci_interpreter::build_kernel_CircleMaximum(), luci_interpreter::build_kernel_CircleMaxPool2D(), luci_interpreter::build_kernel_CircleMean(), luci_interpreter::build_kernel_CircleMinimum(), luci_interpreter::build_kernel_CircleMirrorPad(), luci_interpreter::build_kernel_CircleMul(), luci_interpreter::build_kernel_CircleNeg(), luci_interpreter::build_kernel_CircleNotEqual(), luci_interpreter::build_kernel_CircleOneHot(), luci_interpreter::build_kernel_CirclePack(), luci_interpreter::build_kernel_CirclePad(), luci_interpreter::build_kernel_CirclePadV2(), luci_interpreter::build_kernel_CirclePow(), luci_interpreter::build_kernel_CirclePRelu(), luci_interpreter::build_kernel_CircleQuantize(), luci_interpreter::build_kernel_CircleReduceMax(), luci_interpreter::build_kernel_CircleReduceProd(), luci_interpreter::build_kernel_CircleRelu(), luci_interpreter::build_kernel_CircleRelu6(), luci_interpreter::build_kernel_CircleReshape(), luci_interpreter::build_kernel_CircleResizeBilinear(), luci_interpreter::build_kernel_CircleResizeNearestNeighbor(), luci_interpreter::build_kernel_CircleReverseV2(), luci_interpreter::build_kernel_CircleRsqrt(), luci_interpreter::build_kernel_CircleSelect(), luci_interpreter::build_kernel_CircleSelectV2(), luci_interpreter::build_kernel_CircleShape(), luci_interpreter::build_kernel_CircleSin(), luci_interpreter::build_kernel_CircleSlice(), luci_interpreter::build_kernel_CircleSoftmax(), luci_interpreter::build_kernel_CircleSpaceToBatchND(), luci_interpreter::build_kernel_CircleSpaceToDepth(), luci_interpreter::build_kernel_CircleSplit(), luci_interpreter::build_kernel_CircleSplitV(), luci_interpreter::build_kernel_CircleSqrt(), luci_interpreter::build_kernel_CircleSquare(), luci_interpreter::build_kernel_CircleSquaredDifference(), luci_interpreter::build_kernel_CircleSqueeze(), luci_interpreter::build_kernel_CircleStridedSlice(), luci_interpreter::build_kernel_CircleSub(), luci_interpreter::build_kernel_CircleSum(), luci_interpreter::build_kernel_CircleSVDF(), luci_interpreter::build_kernel_CircleTanh(), luci_interpreter::build_kernel_CircleTile(), luci_interpreter::build_kernel_CircleTranspose(), luci_interpreter::build_kernel_CircleTransposeConv(), luci_interpreter::build_kernel_CircleUnidirectionalSequenceLSTM(), luci_interpreter::build_kernel_CircleUnpack(), luci_interpreter::build_kernel_CircleWhile(), and getOptionalInputTensor().

    @@ -249,7 +249,7 @@

    44 return tensor;
    45}
    -

    Referenced by luci_interpreter::build_kernel_CircleAbs(), luci_interpreter::build_kernel_CircleAdd(), luci_interpreter::build_kernel_CircleArgMax(), luci_interpreter::build_kernel_CircleAveragePool2D(), luci_interpreter::build_kernel_CircleBatchMatMul(), luci_interpreter::build_kernel_CircleBatchToSpaceND(), luci_interpreter::build_kernel_CircleBroadcastTo(), luci_interpreter::build_kernel_CircleCast(), luci_interpreter::build_kernel_CircleConcatenation(), luci_interpreter::build_kernel_CircleConv2D(), luci_interpreter::build_kernel_CircleCos(), luci_interpreter::build_kernel_CircleCumSum(), luci_interpreter::build_kernel_CircleDepthToSpace(), luci_interpreter::build_kernel_CircleDepthwiseConv2D(), luci_interpreter::build_kernel_CircleDequantize(), luci_interpreter::build_kernel_CircleDiv(), luci_interpreter::build_kernel_CircleElu(), luci_interpreter::build_kernel_CircleEqual(), luci_interpreter::build_kernel_CircleExp(), luci_interpreter::build_kernel_CircleExpandDims(), luci_interpreter::build_kernel_CircleFill(), luci_interpreter::build_kernel_CircleFloor(), luci_interpreter::build_kernel_CircleFloorDiv(), luci_interpreter::build_kernel_CircleFloorMod(), luci_interpreter::build_kernel_CircleFullyConnected(), luci_interpreter::build_kernel_CircleGather(), luci_interpreter::build_kernel_CircleGelu(), luci_interpreter::build_kernel_CircleGreater(), luci_interpreter::build_kernel_CircleGreaterEqual(), luci_interpreter::build_kernel_CircleHardSwish(), luci_interpreter::build_kernel_CircleInstanceNorm(), luci_interpreter::build_kernel_CircleL2Normalize(), luci_interpreter::build_kernel_CircleL2Pool2D(), luci_interpreter::build_kernel_CircleLeakyRelu(), luci_interpreter::build_kernel_CircleLess(), luci_interpreter::build_kernel_CircleLessEqual(), luci_interpreter::build_kernel_CircleLocalResponseNormalization(), luci_interpreter::build_kernel_CircleLog(), luci_interpreter::build_kernel_CircleLogicalAnd(), luci_interpreter::build_kernel_CircleLogicalNot(), luci_interpreter::build_kernel_CircleLogicalOr(), luci_interpreter::build_kernel_CircleLogistic(), luci_interpreter::build_kernel_CircleLogSoftmax(), luci_interpreter::build_kernel_CircleMaximum(), luci_interpreter::build_kernel_CircleMaxPool2D(), luci_interpreter::build_kernel_CircleMean(), luci_interpreter::build_kernel_CircleMinimum(), luci_interpreter::build_kernel_CircleMirrorPad(), luci_interpreter::build_kernel_CircleMul(), luci_interpreter::build_kernel_CircleNeg(), luci_interpreter::build_kernel_CircleNotEqual(), luci_interpreter::build_kernel_CircleOneHot(), luci_interpreter::build_kernel_CirclePack(), luci_interpreter::build_kernel_CirclePad(), luci_interpreter::build_kernel_CirclePadV2(), luci_interpreter::build_kernel_CirclePow(), luci_interpreter::build_kernel_CirclePRelu(), luci_interpreter::build_kernel_CircleQuantize(), luci_interpreter::build_kernel_CircleReduceMax(), luci_interpreter::build_kernel_CircleReduceProd(), luci_interpreter::build_kernel_CircleRelu(), luci_interpreter::build_kernel_CircleRelu6(), luci_interpreter::build_kernel_CircleReshape(), luci_interpreter::build_kernel_CircleResizeBilinear(), luci_interpreter::build_kernel_CircleResizeNearestNeighbor(), luci_interpreter::build_kernel_CircleReverseV2(), luci_interpreter::build_kernel_CircleRsqrt(), luci_interpreter::build_kernel_CircleSelect(), luci_interpreter::build_kernel_CircleSelectV2(), luci_interpreter::build_kernel_CircleShape(), luci_interpreter::build_kernel_CircleSin(), luci_interpreter::build_kernel_CircleSlice(), luci_interpreter::build_kernel_CircleSoftmax(), luci_interpreter::build_kernel_CircleSpaceToBatchND(), luci_interpreter::build_kernel_CircleSpaceToDepth(), luci_interpreter::build_kernel_CircleSqrt(), luci_interpreter::build_kernel_CircleSquare(), luci_interpreter::build_kernel_CircleSquaredDifference(), luci_interpreter::build_kernel_CircleSqueeze(), luci_interpreter::build_kernel_CircleStridedSlice(), luci_interpreter::build_kernel_CircleSub(), luci_interpreter::build_kernel_CircleSum(), luci_interpreter::build_kernel_CircleSVDF(), luci_interpreter::build_kernel_CircleTanh(), luci_interpreter::build_kernel_CircleTile(), luci_interpreter::build_kernel_CircleTranspose(), luci_interpreter::build_kernel_CircleTransposeConv(), luci_interpreter::build_kernel_CircleUnidirectionalSequenceLSTM(), and getOutputTensors().

    +

    Referenced by luci_interpreter::build_kernel_CircleAbs(), luci_interpreter::build_kernel_CircleAdd(), luci_interpreter::build_kernel_CircleArgMax(), luci_interpreter::build_kernel_CircleAveragePool2D(), luci_interpreter::build_kernel_CircleBatchMatMul(), luci_interpreter::build_kernel_CircleBatchToSpaceND(), luci_interpreter::build_kernel_CircleBroadcastTo(), luci_interpreter::build_kernel_CircleCast(), luci_interpreter::build_kernel_CircleConcatenation(), luci_interpreter::build_kernel_CircleConv2D(), luci_interpreter::build_kernel_CircleCos(), luci_interpreter::build_kernel_CircleCumSum(), luci_interpreter::build_kernel_CircleDepthToSpace(), luci_interpreter::build_kernel_CircleDepthwiseConv2D(), luci_interpreter::build_kernel_CircleDequantize(), luci_interpreter::build_kernel_CircleDiv(), luci_interpreter::build_kernel_CircleElu(), luci_interpreter::build_kernel_CircleEqual(), luci_interpreter::build_kernel_CircleExp(), luci_interpreter::build_kernel_CircleExpandDims(), luci_interpreter::build_kernel_CircleFill(), luci_interpreter::build_kernel_CircleFloor(), luci_interpreter::build_kernel_CircleFloorDiv(), luci_interpreter::build_kernel_CircleFloorMod(), luci_interpreter::build_kernel_CircleFullyConnected(), luci_interpreter::build_kernel_CircleGather(), luci_interpreter::build_kernel_CircleGelu(), luci_interpreter::build_kernel_CircleGreater(), luci_interpreter::build_kernel_CircleGreaterEqual(), luci_interpreter::build_kernel_CircleHardSwish(), luci_interpreter::build_kernel_CircleInstanceNorm(), luci_interpreter::build_kernel_CircleL2Normalize(), luci_interpreter::build_kernel_CircleL2Pool2D(), luci_interpreter::build_kernel_CircleLeakyRelu(), luci_interpreter::build_kernel_CircleLess(), luci_interpreter::build_kernel_CircleLessEqual(), luci_interpreter::build_kernel_CircleLocalResponseNormalization(), luci_interpreter::build_kernel_CircleLog(), luci_interpreter::build_kernel_CircleLogicalAnd(), luci_interpreter::build_kernel_CircleLogicalNot(), luci_interpreter::build_kernel_CircleLogicalOr(), luci_interpreter::build_kernel_CircleLogistic(), luci_interpreter::build_kernel_CircleLogSoftmax(), luci_interpreter::build_kernel_CircleMaximum(), luci_interpreter::build_kernel_CircleMaxPool2D(), luci_interpreter::build_kernel_CircleMean(), luci_interpreter::build_kernel_CircleMinimum(), luci_interpreter::build_kernel_CircleMirrorPad(), luci_interpreter::build_kernel_CircleMul(), luci_interpreter::build_kernel_CircleNeg(), luci_interpreter::build_kernel_CircleNotEqual(), luci_interpreter::build_kernel_CircleOneHot(), luci_interpreter::build_kernel_CirclePack(), luci_interpreter::build_kernel_CirclePad(), luci_interpreter::build_kernel_CirclePadV2(), luci_interpreter::build_kernel_CirclePow(), luci_interpreter::build_kernel_CirclePRelu(), luci_interpreter::build_kernel_CircleQuantize(), luci_interpreter::build_kernel_CircleReduceMax(), luci_interpreter::build_kernel_CircleReduceProd(), luci_interpreter::build_kernel_CircleRelu(), luci_interpreter::build_kernel_CircleRelu6(), luci_interpreter::build_kernel_CircleReshape(), luci_interpreter::build_kernel_CircleResizeBilinear(), luci_interpreter::build_kernel_CircleResizeNearestNeighbor(), luci_interpreter::build_kernel_CircleReverseV2(), luci_interpreter::build_kernel_CircleRsqrt(), luci_interpreter::build_kernel_CircleSelect(), luci_interpreter::build_kernel_CircleSelectV2(), luci_interpreter::build_kernel_CircleShape(), luci_interpreter::build_kernel_CircleSin(), luci_interpreter::build_kernel_CircleSlice(), luci_interpreter::build_kernel_CircleSoftmax(), luci_interpreter::build_kernel_CircleSpaceToBatchND(), luci_interpreter::build_kernel_CircleSpaceToDepth(), luci_interpreter::build_kernel_CircleSqrt(), luci_interpreter::build_kernel_CircleSquare(), luci_interpreter::build_kernel_CircleSquaredDifference(), luci_interpreter::build_kernel_CircleSqueeze(), luci_interpreter::build_kernel_CircleStridedSlice(), luci_interpreter::build_kernel_CircleSub(), luci_interpreter::build_kernel_CircleSum(), luci_interpreter::build_kernel_CircleSVDF(), luci_interpreter::build_kernel_CircleTanh(), luci_interpreter::build_kernel_CircleTile(), luci_interpreter::build_kernel_CircleTranspose(), luci_interpreter::build_kernel_CircleTransposeConv(), luci_interpreter::build_kernel_CircleUnidirectionalSequenceLSTM(), and getOutputTensors().

    diff --git a/classluci__interpreter_1_1_runtime_graph.html b/classluci__interpreter_1_1_runtime_graph.html index 003ae2b304d..e0803fe26b5 100644 --- a/classluci__interpreter_1_1_runtime_graph.html +++ b/classluci__interpreter_1_1_runtime_graph.html @@ -967,7 +967,7 @@

    367 return _tensor_to_data.at(raw_tensor);
    368}
    -

    Referenced by luci_interpreter::configure_kernel_CircleSqueeze(), luci_interpreter::kernels::evalComparisonGeneric(), luci_interpreter::evalInteger(), luci_interpreter::execute_kernel_CircleAbs(), luci_interpreter::execute_kernel_CircleAveragePool2D(), luci_interpreter::execute_kernel_CircleBatchToSpaceND(), luci_interpreter::execute_kernel_CircleBroadcastTo(), luci_interpreter::execute_kernel_CircleCast(), luci_interpreter::execute_kernel_CircleCeil(), luci_interpreter::execute_kernel_CircleCos(), luci_interpreter::execute_kernel_CircleDepthToSpace(), luci_interpreter::execute_kernel_CircleDequantize(), luci_interpreter::execute_kernel_CircleElu(), luci_interpreter::execute_kernel_CircleExp(), luci_interpreter::execute_kernel_CircleExpandDims(), luci_interpreter::execute_kernel_CircleFloor(), luci_interpreter::execute_kernel_CircleFloorDiv(), luci_interpreter::execute_kernel_CircleFloorMod(), luci_interpreter::execute_kernel_CircleGatherND(), luci_interpreter::execute_kernel_CircleIf(), luci_interpreter::execute_kernel_CircleL2Normalize(), luci_interpreter::execute_kernel_CircleL2Pool2D(), luci_interpreter::execute_kernel_CircleLeakyRelu(), luci_interpreter::execute_kernel_CircleLog(), luci_interpreter::execute_kernel_CircleLogicalAnd(), luci_interpreter::execute_kernel_CircleLogicalNot(), luci_interpreter::execute_kernel_CircleLogicalOr(), luci_interpreter::execute_kernel_CircleLogistic(), luci_interpreter::execute_kernel_CircleLogSoftmax(), luci_interpreter::execute_kernel_CircleMaximum(), luci_interpreter::execute_kernel_CircleMaxPool2D(), luci_interpreter::execute_kernel_CircleMinimum(), luci_interpreter::execute_kernel_CircleNeg(), luci_interpreter::execute_kernel_CirclePack(), luci_interpreter::execute_kernel_CirclePadCommon(), luci_interpreter::execute_kernel_CircleQuantize(), luci_interpreter::execute_kernel_CircleRelu(), luci_interpreter::execute_kernel_CircleRelu6(), luci_interpreter::execute_kernel_CircleReshape(), luci_interpreter::execute_kernel_CircleResizeBilinear(), luci_interpreter::execute_kernel_CircleResizeNearestNeighbor(), luci_interpreter::execute_kernel_CircleRound(), luci_interpreter::execute_kernel_CircleRsqrt(), luci_interpreter::execute_kernel_CircleShape(), luci_interpreter::execute_kernel_CircleSin(), luci_interpreter::execute_kernel_CircleSlice(), luci_interpreter::execute_kernel_CircleSpaceToBatchND(), luci_interpreter::execute_kernel_CircleSpaceToDepth(), luci_interpreter::execute_kernel_CircleSplit(), luci_interpreter::execute_kernel_CircleSplitV(), luci_interpreter::execute_kernel_CircleSqrt(), luci_interpreter::execute_kernel_CircleSquare(), luci_interpreter::execute_kernel_CircleSquaredDifference(), luci_interpreter::execute_kernel_CircleSqueeze(), luci_interpreter::execute_kernel_CircleStridedSlice(), luci_interpreter::execute_kernel_CircleSVDF(), luci_interpreter::execute_kernel_CircleTanh(), luci_interpreter::execute_kernel_CircleZerosLike(), luci_interpreter_pal::lstm_internal::lstmStep(), luci_interpreter::kernels::TISOKernel::readData(), luci_interpreter::kernels::TISOKernel::readInplaceData(), and luci_interpreter::splitImpl().

    +

    Referenced by luci_interpreter::configure_kernel_CircleSqueeze(), luci_interpreter::kernels::evalComparisonGeneric(), luci_interpreter::evalInteger(), luci_interpreter::execute_kernel_CircleAbs(), luci_interpreter::execute_kernel_CircleAveragePool2D(), luci_interpreter::execute_kernel_CircleBatchToSpaceND(), luci_interpreter::execute_kernel_CircleBroadcastTo(), luci_interpreter::execute_kernel_CircleCast(), luci_interpreter::execute_kernel_CircleCeil(), luci_interpreter::execute_kernel_CircleCos(), luci_interpreter::execute_kernel_CircleDepthToSpace(), luci_interpreter::execute_kernel_CircleDequantize(), luci_interpreter::execute_kernel_CircleElu(), luci_interpreter::execute_kernel_CircleExp(), luci_interpreter::execute_kernel_CircleExpandDims(), luci_interpreter::execute_kernel_CircleFloor(), luci_interpreter::execute_kernel_CircleFloorDiv(), luci_interpreter::execute_kernel_CircleFloorMod(), luci_interpreter::execute_kernel_CircleGatherND(), luci_interpreter::execute_kernel_CircleIf(), luci_interpreter::execute_kernel_CircleL2Normalize(), luci_interpreter::execute_kernel_CircleL2Pool2D(), luci_interpreter::execute_kernel_CircleLeakyRelu(), luci_interpreter::execute_kernel_CircleLog(), luci_interpreter::execute_kernel_CircleLogicalAnd(), luci_interpreter::execute_kernel_CircleLogicalNot(), luci_interpreter::execute_kernel_CircleLogicalOr(), luci_interpreter::execute_kernel_CircleLogistic(), luci_interpreter::execute_kernel_CircleLogSoftmax(), luci_interpreter::execute_kernel_CircleMaximum(), luci_interpreter::execute_kernel_CircleMaxPool2D(), luci_interpreter::execute_kernel_CircleMinimum(), luci_interpreter::execute_kernel_CircleNeg(), luci_interpreter::execute_kernel_CirclePack(), luci_interpreter::execute_kernel_CirclePadCommon(), luci_interpreter::execute_kernel_CircleQuantize(), luci_interpreter::execute_kernel_CircleRelu(), luci_interpreter::execute_kernel_CircleRelu6(), luci_interpreter::execute_kernel_CircleReshape(), luci_interpreter::execute_kernel_CircleResizeBilinear(), luci_interpreter::execute_kernel_CircleResizeNearestNeighbor(), luci_interpreter::execute_kernel_CircleRound(), luci_interpreter::execute_kernel_CircleRsqrt(), luci_interpreter::execute_kernel_CircleShape(), luci_interpreter::execute_kernel_CircleSin(), luci_interpreter::execute_kernel_CircleSlice(), luci_interpreter::execute_kernel_CircleSpaceToBatchND(), luci_interpreter::execute_kernel_CircleSpaceToDepth(), luci_interpreter::execute_kernel_CircleSplit(), luci_interpreter::execute_kernel_CircleSplitV(), luci_interpreter::execute_kernel_CircleSqrt(), luci_interpreter::execute_kernel_CircleSquare(), luci_interpreter::execute_kernel_CircleSquaredDifference(), luci_interpreter::execute_kernel_CircleSqueeze(), luci_interpreter::execute_kernel_CircleStridedSlice(), luci_interpreter::execute_kernel_CircleSVDF(), luci_interpreter::execute_kernel_CircleTanh(), luci_interpreter::execute_kernel_CircleZerosLike(), luci_interpreter_pal::lstm_internal::lstmStep(), luci_interpreter::kernels::TISOKernel::readData(), luci_interpreter::kernels::TISOKernel::readInplaceData(), and luci_interpreter::splitImpl().

    @@ -1365,7 +1365,7 @@

    115 return _inplace_op_indexes.find(op) != _inplace_op_indexes.end();
    116 }
    -

    Referenced by luci_interpreter::execute_kernel_CircleAbs(), luci_interpreter::execute_kernel_CircleAdd(), luci_interpreter::execute_kernel_CircleCeil(), luci_interpreter::execute_kernel_CircleCos(), luci_interpreter::execute_kernel_CircleDiv(), luci_interpreter::execute_kernel_CircleElu(), luci_interpreter::execute_kernel_CircleExp(), luci_interpreter::execute_kernel_CircleExpandDims(), luci_interpreter::execute_kernel_CircleLeakyRelu(), luci_interpreter::execute_kernel_CircleLog(), luci_interpreter::execute_kernel_CircleLogistic(), luci_interpreter::execute_kernel_CircleMul(), luci_interpreter::execute_kernel_CircleRelu(), luci_interpreter::execute_kernel_CircleRelu6(), luci_interpreter::execute_kernel_CircleReshape(), luci_interpreter::execute_kernel_CircleRound(), luci_interpreter::execute_kernel_CircleRsqrt(), luci_interpreter::execute_kernel_CircleSin(), luci_interpreter::execute_kernel_CircleSqrt(), luci_interpreter::execute_kernel_CircleSquare(), luci_interpreter::execute_kernel_CircleSub(), luci_interpreter::execute_kernel_CircleTanh(), luci_interpreter::execute_kernel_CircleUnidirectionalSequenceLSTM(), luci_interpreter::execute_kernel_CircleWhile(), and luci_interpreter::execute_kernel_CircleZerosLike().

    +

    Referenced by luci_interpreter::execute_kernel_CircleAbs(), luci_interpreter::execute_kernel_CircleAdd(), luci_interpreter::execute_kernel_CircleCeil(), luci_interpreter::execute_kernel_CircleCos(), luci_interpreter::execute_kernel_CircleDiv(), luci_interpreter::execute_kernel_CircleElu(), luci_interpreter::execute_kernel_CircleExp(), luci_interpreter::execute_kernel_CircleExpandDims(), luci_interpreter::execute_kernel_CircleLeakyRelu(), luci_interpreter::execute_kernel_CircleLog(), luci_interpreter::execute_kernel_CircleLogistic(), luci_interpreter::execute_kernel_CircleMul(), luci_interpreter::execute_kernel_CircleRelu(), luci_interpreter::execute_kernel_CircleRelu6(), luci_interpreter::execute_kernel_CircleReshape(), luci_interpreter::execute_kernel_CircleRound(), luci_interpreter::execute_kernel_CircleRsqrt(), luci_interpreter::execute_kernel_CircleSin(), luci_interpreter::execute_kernel_CircleSqrt(), luci_interpreter::execute_kernel_CircleSquare(), luci_interpreter::execute_kernel_CircleSub(), luci_interpreter::execute_kernel_CircleTanh(), luci_interpreter::execute_kernel_CircleUnidirectionalSequenceLSTM(), luci_interpreter::execute_kernel_CircleWhile(), and luci_interpreter::execute_kernel_CircleZerosLike().

    @@ -1450,7 +1450,7 @@

    References flatbuffers::data().

    -

    Referenced by luci_interpreter::kernels::evalTISOInplaceKernel(), luci_interpreter::kernels::evalTISOInplaceQuantizedKernel(), luci_interpreter::execute_kernel_CircleAbs(), luci_interpreter::execute_kernel_CircleCeil(), luci_interpreter::execute_kernel_CircleCos(), luci_interpreter::execute_kernel_CircleElu(), luci_interpreter::execute_kernel_CircleExp(), luci_interpreter::execute_kernel_CircleExpandDims(), luci_interpreter::execute_kernel_CircleLeakyRelu(), luci_interpreter::execute_kernel_CircleLog(), luci_interpreter::execute_kernel_CircleLogistic(), luci_interpreter::execute_kernel_CircleRelu(), luci_interpreter::execute_kernel_CircleRelu6(), luci_interpreter::execute_kernel_CircleReshape(), luci_interpreter::execute_kernel_CircleRound(), luci_interpreter::execute_kernel_CircleRsqrt(), luci_interpreter::execute_kernel_CircleSin(), luci_interpreter::execute_kernel_CircleSqrt(), luci_interpreter::execute_kernel_CircleSquare(), luci_interpreter::execute_kernel_CircleTanh(), and luci_interpreter::execute_kernel_CircleZerosLike().

    +

    Referenced by luci_interpreter::kernels::evalTISOInplaceKernel(), luci_interpreter::kernels::evalTISOInplaceQuantizedKernel(), luci_interpreter::execute_kernel_CircleAbs(), luci_interpreter::execute_kernel_CircleCeil(), luci_interpreter::execute_kernel_CircleCos(), luci_interpreter::execute_kernel_CircleElu(), luci_interpreter::execute_kernel_CircleExp(), luci_interpreter::execute_kernel_CircleExpandDims(), luci_interpreter::execute_kernel_CircleLeakyRelu(), luci_interpreter::execute_kernel_CircleLog(), luci_interpreter::execute_kernel_CircleLogistic(), luci_interpreter::execute_kernel_CircleRelu(), luci_interpreter::execute_kernel_CircleRelu6(), luci_interpreter::execute_kernel_CircleReshape(), luci_interpreter::execute_kernel_CircleRound(), luci_interpreter::execute_kernel_CircleRsqrt(), luci_interpreter::execute_kernel_CircleSin(), luci_interpreter::execute_kernel_CircleSqrt(), luci_interpreter::execute_kernel_CircleSquare(), luci_interpreter::execute_kernel_CircleTanh(), and luci_interpreter::execute_kernel_CircleZerosLike().

    diff --git a/classluci__interpreter_1_1_runtime_shape.html b/classluci__interpreter_1_1_runtime_shape.html index 03b9d064f5a..f269a2fe044 100644 --- a/classluci__interpreter_1_1_runtime_shape.html +++ b/classluci__interpreter_1_1_runtime_shape.html @@ -595,7 +595,7 @@

    References dimsData().

    -

    Referenced by luci_interpreter_pal::BroadcastTo(), luci_interpreter::evalInteger(), luci_interpreter::execute_kernel_CircleAbs(), luci_interpreter::execute_kernel_CircleAdd(), luci_interpreter::execute_kernel_CircleCast(), luci_interpreter::execute_kernel_CircleCeil(), luci_interpreter::execute_kernel_CircleCos(), luci_interpreter::execute_kernel_CircleDequantize(), luci_interpreter::execute_kernel_CircleElu(), luci_interpreter::execute_kernel_CircleExp(), luci_interpreter::execute_kernel_CircleFloorDiv(), luci_interpreter::execute_kernel_CircleFloorMod(), luci_interpreter::execute_kernel_CircleLeakyRelu(), luci_interpreter::execute_kernel_CircleLog(), luci_interpreter::execute_kernel_CircleLogistic(), luci_interpreter::execute_kernel_CircleMaximum(), luci_interpreter::execute_kernel_CircleMinimum(), luci_interpreter::execute_kernel_CircleQuantize(), luci_interpreter::execute_kernel_CircleRelu(), luci_interpreter::execute_kernel_CircleRelu6(), luci_interpreter::execute_kernel_CircleRound(), luci_interpreter::execute_kernel_CircleRsqrt(), luci_interpreter::execute_kernel_CircleSin(), luci_interpreter::execute_kernel_CircleSqrt(), luci_interpreter::execute_kernel_CircleSquare(), luci_interpreter::execute_kernel_CircleSquaredDifference(), luci_interpreter::execute_kernel_CircleTanh(), luci_interpreter::execute_kernel_CircleZerosLike(), luci_interpreter_pal::Floor(), luci_interpreter_pal::GatherND(), luci_interpreter_pal::lstm_internal::lstmStep(), luci_interpreter_pal::lstm_internal::mul(), luci_interpreter_pal::lstm_internal::mul(), luci_interpreter_pal::lstm_internal::mul(), luci_interpreter_pal::Negate(), luci_interpreter_pal::ProcessBroadcastShapes(), luci_interpreter_pal::Select(), luci_interpreter_pal::lstm_internal::sigmoid(), luci_interpreter_pal::lstm_internal::sigmoid(), luci_interpreter_pal::lstm_internal::tanh(), luci_interpreter_pal::lstm_internal::tanh(), and luci_interpreter_pal::TransposeConv().

    +

    Referenced by luci_interpreter_pal::BroadcastTo(), luci_interpreter::evalInteger(), luci_interpreter::execute_kernel_CircleAbs(), luci_interpreter::execute_kernel_CircleAdd(), luci_interpreter::execute_kernel_CircleCast(), luci_interpreter::execute_kernel_CircleCeil(), luci_interpreter::execute_kernel_CircleCos(), luci_interpreter::execute_kernel_CircleDequantize(), luci_interpreter::execute_kernel_CircleElu(), luci_interpreter::execute_kernel_CircleExp(), luci_interpreter::execute_kernel_CircleFloorDiv(), luci_interpreter::execute_kernel_CircleFloorMod(), luci_interpreter::execute_kernel_CircleLeakyRelu(), luci_interpreter::execute_kernel_CircleLog(), luci_interpreter::execute_kernel_CircleLogistic(), luci_interpreter::execute_kernel_CircleMaximum(), luci_interpreter::execute_kernel_CircleMinimum(), luci_interpreter::execute_kernel_CircleQuantize(), luci_interpreter::execute_kernel_CircleRelu(), luci_interpreter::execute_kernel_CircleRelu6(), luci_interpreter::execute_kernel_CircleRound(), luci_interpreter::execute_kernel_CircleRsqrt(), luci_interpreter::execute_kernel_CircleSin(), luci_interpreter::execute_kernel_CircleSqrt(), luci_interpreter::execute_kernel_CircleSquare(), luci_interpreter::execute_kernel_CircleSquaredDifference(), luci_interpreter::execute_kernel_CircleTanh(), luci_interpreter::execute_kernel_CircleZerosLike(), luci_interpreter_pal::Floor(), luci_interpreter_pal::GatherND(), luci_interpreter_pal::lstm_internal::lstmStep(), luci_interpreter_pal::lstm_internal::mul(), luci_interpreter_pal::lstm_internal::mul(), luci_interpreter_pal::lstm_internal::mul(), luci_interpreter_pal::Negate(), luci_interpreter_pal::ProcessBroadcastShapes(), luci_interpreter_pal::Select(), luci_interpreter_pal::lstm_internal::sigmoid(), luci_interpreter_pal::lstm_internal::sigmoid(), luci_interpreter_pal::lstm_internal::tanh(), luci_interpreter_pal::lstm_internal::tanh(), and luci_interpreter_pal::TransposeConv().

    diff --git a/classluci__interpreter_1_1_tensor.html b/classluci__interpreter_1_1_tensor.html index 3af33b22dab..8085bd50a88 100644 --- a/classluci__interpreter_1_1_tensor.html +++ b/classluci__interpreter_1_1_tensor.html @@ -805,7 +805,7 @@

    Definition at line 56 of file Tensor.cpp.

    56{ _shape = new_shape; }
    -

    Referenced by luci_interpreter::kernels::Abs::configure(), luci_interpreter::kernels::Add::configure(), luci_interpreter::kernels::ArgMax::configure(), luci_interpreter::kernels::AveragePool2D::configure(), luci_interpreter::kernels::BatchMatMul::configure(), luci_interpreter::kernels::BatchToSpaceND::configure(), luci_interpreter::kernels::BroadcastTo::configure(), luci_interpreter::kernels::Cast::configure(), luci_interpreter::kernels::Concatenation::configure(), luci_interpreter::kernels::Conv2D::configure(), luci_interpreter::kernels::Cos::configure(), luci_interpreter::kernels::CumSum::configure(), luci_interpreter::kernels::DepthToSpace::configure(), luci_interpreter::kernels::DepthwiseConv2D::configure(), luci_interpreter::kernels::Dequantize::configure(), luci_interpreter::kernels::Div::configure(), luci_interpreter::kernels::Elu::configure(), luci_interpreter::kernels::Equal::configure(), luci_interpreter::kernels::Exp::configure(), luci_interpreter::kernels::ExpandDims::configure(), luci_interpreter::kernels::Floor::configure(), luci_interpreter::kernels::FloorDiv::configure(), luci_interpreter::kernels::FloorMod::configure(), luci_interpreter::kernels::FullyConnected::configure(), luci_interpreter::kernels::Gather::configure(), luci_interpreter::kernels::Gelu::configure(), luci_interpreter::kernels::Greater::configure(), luci_interpreter::kernels::GreaterEqual::configure(), luci_interpreter::kernels::HardSwish::configure(), luci_interpreter::kernels::InstanceNorm::configure(), luci_interpreter::kernels::L2Normalize::configure(), luci_interpreter::kernels::L2Pool2D::configure(), luci_interpreter::kernels::LeakyRelu::configure(), luci_interpreter::kernels::Less::configure(), luci_interpreter::kernels::LessEqual::configure(), luci_interpreter::kernels::LocalResponseNormalization::configure(), luci_interpreter::kernels::Log::configure(), luci_interpreter::kernels::LogicalAnd::configure(), luci_interpreter::kernels::LogicalNot::configure(), luci_interpreter::kernels::LogicalOr::configure(), luci_interpreter::kernels::Logistic::configure(), luci_interpreter::kernels::LogSoftmax::configure(), luci_interpreter::kernels::Maximum::configure(), luci_interpreter::kernels::MaxPool2D::configure(), luci_interpreter::kernels::Mean::configure(), luci_interpreter::kernels::Minimum::configure(), luci_interpreter::kernels::MirrorPad::configure(), luci_interpreter::kernels::Mul::configure(), luci_interpreter::kernels::Neg::configure(), luci_interpreter::kernels::NotEqual::configure(), luci_interpreter::kernels::OneHot::configure(), luci_interpreter::kernels::Pack::configure(), luci_interpreter::kernels::Pad::configure(), luci_interpreter::kernels::PadV2::configure(), luci_interpreter::kernels::Pow::configure(), luci_interpreter::kernels::PRelu::configure(), luci_interpreter::kernels::Quantize::configure(), luci_interpreter::kernels::ReduceMax::configure(), luci_interpreter::kernels::ReduceProd::configure(), luci_interpreter::kernels::Relu::configure(), luci_interpreter::kernels::Relu6::configure(), luci_interpreter::kernels::Reshape::configure(), luci_interpreter::kernels::ResizeBilinear::configure(), luci_interpreter::kernels::ResizeNearestNeighbor::configure(), luci_interpreter::kernels::ReverseV2::configure(), luci_interpreter::kernels::Rsqrt::configure(), luci_interpreter::kernels::Select::configure(), luci_interpreter::kernels::SelectV2::configure(), luci_interpreter::kernels::ShapeKernel::configure(), luci_interpreter::kernels::Sin::configure(), luci_interpreter::kernels::Slice::configure(), luci_interpreter::kernels::Softmax::configure(), luci_interpreter::kernels::SpaceToBatchND::configure(), luci_interpreter::kernels::SpaceToDepth::configure(), luci_interpreter::kernels::Split::configure(), luci_interpreter::kernels::Sqrt::configure(), luci_interpreter::kernels::Square::configure(), luci_interpreter::kernels::SquaredDifference::configure(), luci_interpreter::kernels::Squeeze::configure(), luci_interpreter::kernels::StridedSlice::configure(), luci_interpreter::kernels::Sub::configure(), luci_interpreter::kernels::Sum::configure(), luci_interpreter::kernels::SVDF::configure(), luci_interpreter::kernels::Tanh::configure(), luci_interpreter::kernels::Tile::configure(), luci_interpreter::kernels::Transpose::configure(), luci_interpreter::kernels::TransposeConv::configure(), luci_interpreter::kernels::UnidirectionalSequenceLSTM::configure(), luci_interpreter::kernels::Unpack::configure(), and luci_interpreter::kernels::If::execute().

    +

    Referenced by luci_interpreter::kernels::Abs::configure(), luci_interpreter::kernels::Add::configure(), luci_interpreter::kernels::ArgMax::configure(), luci_interpreter::kernels::AveragePool2D::configure(), luci_interpreter::kernels::BatchMatMul::configure(), luci_interpreter::kernels::BatchToSpaceND::configure(), luci_interpreter::kernels::BroadcastTo::configure(), luci_interpreter::kernels::Cast::configure(), luci_interpreter::kernels::Concatenation::configure(), luci_interpreter::kernels::Conv2D::configure(), luci_interpreter::kernels::Cos::configure(), luci_interpreter::kernels::CumSum::configure(), luci_interpreter::kernels::DepthToSpace::configure(), luci_interpreter::kernels::DepthwiseConv2D::configure(), luci_interpreter::kernels::Dequantize::configure(), luci_interpreter::kernels::Div::configure(), luci_interpreter::kernels::Elu::configure(), luci_interpreter::kernels::Equal::configure(), luci_interpreter::kernels::Exp::configure(), luci_interpreter::kernels::ExpandDims::configure(), luci_interpreter::kernels::Floor::configure(), luci_interpreter::kernels::FloorDiv::configure(), luci_interpreter::kernels::FloorMod::configure(), luci_interpreter::kernels::FullyConnected::configure(), luci_interpreter::kernels::Gather::configure(), luci_interpreter::kernels::Gelu::configure(), luci_interpreter::kernels::Greater::configure(), luci_interpreter::kernels::GreaterEqual::configure(), luci_interpreter::kernels::HardSwish::configure(), luci_interpreter::kernels::InstanceNorm::configure(), luci_interpreter::kernels::L2Normalize::configure(), luci_interpreter::kernels::L2Pool2D::configure(), luci_interpreter::kernels::LeakyRelu::configure(), luci_interpreter::kernels::Less::configure(), luci_interpreter::kernels::LessEqual::configure(), luci_interpreter::kernels::LocalResponseNormalization::configure(), luci_interpreter::kernels::Log::configure(), luci_interpreter::kernels::LogicalAnd::configure(), luci_interpreter::kernels::LogicalNot::configure(), luci_interpreter::kernels::LogicalOr::configure(), luci_interpreter::kernels::Logistic::configure(), luci_interpreter::kernels::LogSoftmax::configure(), luci_interpreter::kernels::Maximum::configure(), luci_interpreter::kernels::MaxPool2D::configure(), luci_interpreter::kernels::Mean::configure(), luci_interpreter::kernels::Minimum::configure(), luci_interpreter::kernels::MirrorPad::configure(), luci_interpreter::kernels::Mul::configure(), luci_interpreter::kernels::Neg::configure(), luci_interpreter::kernels::NotEqual::configure(), luci_interpreter::kernels::OneHot::configure(), luci_interpreter::kernels::Pack::configure(), luci_interpreter::kernels::Pad::configure(), luci_interpreter::kernels::PadV2::configure(), luci_interpreter::kernels::Pow::configure(), luci_interpreter::kernels::PRelu::configure(), luci_interpreter::kernels::Quantize::configure(), luci_interpreter::kernels::ReduceMax::configure(), luci_interpreter::kernels::ReduceProd::configure(), luci_interpreter::kernels::Relu::configure(), luci_interpreter::kernels::Relu6::configure(), luci_interpreter::kernels::Reshape::configure(), luci_interpreter::kernels::ResizeBilinear::configure(), luci_interpreter::kernels::ResizeNearestNeighbor::configure(), luci_interpreter::kernels::ReverseV2::configure(), luci_interpreter::kernels::Rsqrt::configure(), luci_interpreter::kernels::Select::configure(), luci_interpreter::kernels::SelectV2::configure(), luci_interpreter::kernels::ShapeKernel::configure(), luci_interpreter::kernels::Sin::configure(), luci_interpreter::kernels::Slice::configure(), luci_interpreter::kernels::Softmax::configure(), luci_interpreter::kernels::SpaceToBatchND::configure(), luci_interpreter::kernels::SpaceToDepth::configure(), luci_interpreter::kernels::Split::configure(), luci_interpreter::kernels::Sqrt::configure(), luci_interpreter::kernels::Square::configure(), luci_interpreter::kernels::SquaredDifference::configure(), luci_interpreter::kernels::Squeeze::configure(), luci_interpreter::kernels::StridedSlice::configure(), luci_interpreter::kernels::Sub::configure(), luci_interpreter::kernels::Sum::configure(), luci_interpreter::kernels::SVDF::configure(), luci_interpreter::kernels::Tanh::configure(), luci_interpreter::kernels::Tile::configure(), luci_interpreter::kernels::Transpose::configure(), luci_interpreter::kernels::TransposeConv::configure(), luci_interpreter::kernels::UnidirectionalSequenceLSTM::configure(), luci_interpreter::kernels::Unpack::configure(), and luci_interpreter::kernels::If::execute().

    @@ -841,7 +841,7 @@

    References luci_interpreter::AffineQuantization::scale.

    -

    Referenced by luci_interpreter::kernels::LeakyRelu::configure(), luci_interpreter::kernels::Pack::configure(), luci_interpreter::kernels::PRelu::configure(), luci_interpreter::kernels::Relu::configure(), luci_interpreter::kernels::Relu6::configure(), luci_interpreter::kernels::Dequantize::execute(), and luci_interpreter::kernels::Quantize::execute().

    +

    Referenced by luci_interpreter::kernels::LeakyRelu::configure(), luci_interpreter::kernels::Pack::configure(), luci_interpreter::kernels::PRelu::configure(), luci_interpreter::kernels::Relu::configure(), luci_interpreter::kernels::Relu6::configure(), luci_interpreter::kernels::Dequantize::execute(), and luci_interpreter::kernels::Quantize::execute().

    diff --git a/classluci__interpreter_1_1kernels_1_1_leaky_relu.html b/classluci__interpreter_1_1kernels_1_1_leaky_relu.html index aab93a57b7a..5efce186291 100644 --- a/classluci__interpreter_1_1kernels_1_1_leaky_relu.html +++ b/classluci__interpreter_1_1kernels_1_1_leaky_relu.html @@ -190,7 +190,7 @@

    -

    Definition at line 33 of file LeakyRelu.cpp.

    +

    Definition at line 33 of file LeakyRelu.cpp.

    34 : KernelWithParams<LeakyReluParams>({input}, {output}, params)
    35{
    36}
    @@ -228,7 +228,7 @@

    luci_interpreter::Kernel.

    -

    Definition at line 38 of file LeakyRelu.cpp.

    +

    Definition at line 38 of file LeakyRelu.cpp.

    39{
    40 LUCI_INTERPRETER_CHECK(input()->element_type() == output()->element_type());
    41 if (input()->element_type() == DataType::U8)
    @@ -275,7 +275,7 @@

    luci_interpreter::Kernel.

    -

    Definition at line 51 of file LeakyRelu.cpp.

    +

    Definition at line 51 of file LeakyRelu.cpp.

    52{
    53 switch (input()->element_type())
    54 {
    @@ -323,7 +323,7 @@

    References luci_interpreter::Kernel::_inputs.

    -

    Referenced by configure(), execute(), and LeakyRelu().

    +

    Referenced by configure(), execute(), and LeakyRelu().

    @@ -356,13 +356,13 @@

    References luci_interpreter::Kernel::_outputs.

    -

    Referenced by configure().

    +

    Referenced by configure().


    The documentation for this class was generated from the following files: diff --git a/classluci__interpreter_1_1kernels_1_1_s_i_s_o_kernel.html b/classluci__interpreter_1_1kernels_1_1_s_i_s_o_kernel.html index 87c74a71e4e..af4179b1469 100644 --- a/classluci__interpreter_1_1kernels_1_1_s_i_s_o_kernel.html +++ b/classluci__interpreter_1_1kernels_1_1_s_i_s_o_kernel.html @@ -191,7 +191,7 @@

    Definition at line 46 of file SISOKernel.h.

    46{ return _input_tensor; }
    -

    Referenced by luci_interpreter::configure_kernel_CircleAbs(), luci_interpreter::configure_kernel_CircleCast(), luci_interpreter::configure_kernel_CircleCeil(), luci_interpreter::configure_kernel_CircleCos(), luci_interpreter::configure_kernel_CircleDepthToSpace(), luci_interpreter::configure_kernel_CircleDequantize(), luci_interpreter::configure_kernel_CircleElu(), luci_interpreter::configure_kernel_CircleExp(), luci_interpreter::configure_kernel_CircleL2Normalize(), luci_interpreter::configure_kernel_CircleLeakyRelu(), luci_interpreter::configure_kernel_CircleLog(), luci_interpreter::configure_kernel_CircleLogicalNot(), luci_interpreter::configure_kernel_CircleLogistic(), luci_interpreter::configure_kernel_CircleLogSoftmax(), luci_interpreter::configure_kernel_CirclePool2DCommon(), luci_interpreter::configure_kernel_CircleQuantize(), luci_interpreter::configure_kernel_CircleRelu(), luci_interpreter::configure_kernel_CircleRelu6(), luci_interpreter::configure_kernel_CircleRound(), luci_interpreter::configure_kernel_CircleRsqrt(), luci_interpreter::configure_kernel_CircleSin(), luci_interpreter::configure_kernel_CircleSoftmax(), luci_interpreter::configure_kernel_CircleSpaceToDepth(), luci_interpreter::configure_kernel_CircleSqrt(), luci_interpreter::configure_kernel_CircleSquare(), luci_interpreter::configure_kernel_CircleSqueeze(), luci_interpreter::configure_kernel_CircleTanh(), luci_interpreter::configure_kernel_CircleZerosLike(), luci_interpreter::createPoolParams(), luci_interpreter::execute_kernel_CircleAbs(), luci_interpreter::execute_kernel_CircleAveragePool2D(), luci_interpreter::execute_kernel_CircleCast(), luci_interpreter::execute_kernel_CircleCeil(), luci_interpreter::execute_kernel_CircleCos(), luci_interpreter::execute_kernel_CircleDepthToSpace(), luci_interpreter::execute_kernel_CircleDequantize(), luci_interpreter::execute_kernel_CircleElu(), luci_interpreter::execute_kernel_CircleExp(), luci_interpreter::execute_kernel_CircleL2Normalize(), luci_interpreter::execute_kernel_CircleL2Pool2D(), luci_interpreter::execute_kernel_CircleLeakyRelu(), luci_interpreter::execute_kernel_CircleLog(), luci_interpreter::execute_kernel_CircleLogicalNot(), luci_interpreter::execute_kernel_CircleLogistic(), luci_interpreter::execute_kernel_CircleLogSoftmax(), luci_interpreter::execute_kernel_CircleMaxPool2D(), luci_interpreter::execute_kernel_CircleQuantize(), luci_interpreter::execute_kernel_CircleRelu(), luci_interpreter::execute_kernel_CircleRelu6(), luci_interpreter::execute_kernel_CircleRound(), luci_interpreter::execute_kernel_CircleRsqrt(), luci_interpreter::execute_kernel_CircleShape(), luci_interpreter::execute_kernel_CircleSin(), luci_interpreter::execute_kernel_CircleSoftmax(), luci_interpreter::execute_kernel_CircleSpaceToDepth(), luci_interpreter::execute_kernel_CircleSqrt(), luci_interpreter::execute_kernel_CircleSquare(), luci_interpreter::execute_kernel_CircleSqueeze(), luci_interpreter::execute_kernel_CircleTanh(), and luci_interpreter::execute_kernel_CircleZerosLike().

    +

    Referenced by luci_interpreter::configure_kernel_CircleAbs(), luci_interpreter::configure_kernel_CircleCast(), luci_interpreter::configure_kernel_CircleCeil(), luci_interpreter::configure_kernel_CircleCos(), luci_interpreter::configure_kernel_CircleDepthToSpace(), luci_interpreter::configure_kernel_CircleDequantize(), luci_interpreter::configure_kernel_CircleElu(), luci_interpreter::configure_kernel_CircleExp(), luci_interpreter::configure_kernel_CircleL2Normalize(), luci_interpreter::configure_kernel_CircleLeakyRelu(), luci_interpreter::configure_kernel_CircleLog(), luci_interpreter::configure_kernel_CircleLogicalNot(), luci_interpreter::configure_kernel_CircleLogistic(), luci_interpreter::configure_kernel_CircleLogSoftmax(), luci_interpreter::configure_kernel_CirclePool2DCommon(), luci_interpreter::configure_kernel_CircleQuantize(), luci_interpreter::configure_kernel_CircleRelu(), luci_interpreter::configure_kernel_CircleRelu6(), luci_interpreter::configure_kernel_CircleRound(), luci_interpreter::configure_kernel_CircleRsqrt(), luci_interpreter::configure_kernel_CircleSin(), luci_interpreter::configure_kernel_CircleSoftmax(), luci_interpreter::configure_kernel_CircleSpaceToDepth(), luci_interpreter::configure_kernel_CircleSqrt(), luci_interpreter::configure_kernel_CircleSquare(), luci_interpreter::configure_kernel_CircleSqueeze(), luci_interpreter::configure_kernel_CircleTanh(), luci_interpreter::configure_kernel_CircleZerosLike(), luci_interpreter::createPoolParams(), luci_interpreter::execute_kernel_CircleAbs(), luci_interpreter::execute_kernel_CircleAveragePool2D(), luci_interpreter::execute_kernel_CircleCast(), luci_interpreter::execute_kernel_CircleCeil(), luci_interpreter::execute_kernel_CircleCos(), luci_interpreter::execute_kernel_CircleDepthToSpace(), luci_interpreter::execute_kernel_CircleDequantize(), luci_interpreter::execute_kernel_CircleElu(), luci_interpreter::execute_kernel_CircleExp(), luci_interpreter::execute_kernel_CircleL2Normalize(), luci_interpreter::execute_kernel_CircleL2Pool2D(), luci_interpreter::execute_kernel_CircleLeakyRelu(), luci_interpreter::execute_kernel_CircleLog(), luci_interpreter::execute_kernel_CircleLogicalNot(), luci_interpreter::execute_kernel_CircleLogistic(), luci_interpreter::execute_kernel_CircleLogSoftmax(), luci_interpreter::execute_kernel_CircleMaxPool2D(), luci_interpreter::execute_kernel_CircleQuantize(), luci_interpreter::execute_kernel_CircleRelu(), luci_interpreter::execute_kernel_CircleRelu6(), luci_interpreter::execute_kernel_CircleRound(), luci_interpreter::execute_kernel_CircleRsqrt(), luci_interpreter::execute_kernel_CircleShape(), luci_interpreter::execute_kernel_CircleSin(), luci_interpreter::execute_kernel_CircleSoftmax(), luci_interpreter::execute_kernel_CircleSpaceToDepth(), luci_interpreter::execute_kernel_CircleSqrt(), luci_interpreter::execute_kernel_CircleSquare(), luci_interpreter::execute_kernel_CircleSqueeze(), luci_interpreter::execute_kernel_CircleTanh(), and luci_interpreter::execute_kernel_CircleZerosLike().

    @@ -221,7 +221,7 @@

    Definition at line 47 of file SISOKernel.h.

    47{ return _output_tensor; }
    -

    Referenced by luci_interpreter::configure_kernel_CircleAbs(), luci_interpreter::configure_kernel_CircleCast(), luci_interpreter::configure_kernel_CircleCeil(), luci_interpreter::configure_kernel_CircleCos(), luci_interpreter::configure_kernel_CircleDepthToSpace(), luci_interpreter::configure_kernel_CircleDequantize(), luci_interpreter::configure_kernel_CircleElu(), luci_interpreter::configure_kernel_CircleExp(), luci_interpreter::configure_kernel_CircleL2Normalize(), luci_interpreter::configure_kernel_CircleLeakyRelu(), luci_interpreter::configure_kernel_CircleLog(), luci_interpreter::configure_kernel_CircleLogicalNot(), luci_interpreter::configure_kernel_CircleLogistic(), luci_interpreter::configure_kernel_CircleLogSoftmax(), luci_interpreter::configure_kernel_CirclePool2DCommon(), luci_interpreter::configure_kernel_CircleQuantize(), luci_interpreter::configure_kernel_CircleRelu(), luci_interpreter::configure_kernel_CircleRelu6(), luci_interpreter::configure_kernel_CircleRound(), luci_interpreter::configure_kernel_CircleRsqrt(), luci_interpreter::configure_kernel_CircleShape(), luci_interpreter::configure_kernel_CircleSin(), luci_interpreter::configure_kernel_CircleSoftmax(), luci_interpreter::configure_kernel_CircleSpaceToDepth(), luci_interpreter::configure_kernel_CircleSqrt(), luci_interpreter::configure_kernel_CircleSquare(), luci_interpreter::configure_kernel_CircleSqueeze(), luci_interpreter::configure_kernel_CircleTanh(), luci_interpreter::configure_kernel_CircleZerosLike(), luci_interpreter::createPoolParams(), luci_interpreter::execute_kernel_CircleAbs(), luci_interpreter::execute_kernel_CircleAveragePool2D(), luci_interpreter::execute_kernel_CircleCast(), luci_interpreter::execute_kernel_CircleCeil(), luci_interpreter::execute_kernel_CircleCos(), luci_interpreter::execute_kernel_CircleDepthToSpace(), luci_interpreter::execute_kernel_CircleDequantize(), luci_interpreter::execute_kernel_CircleElu(), luci_interpreter::execute_kernel_CircleExp(), luci_interpreter::execute_kernel_CircleL2Normalize(), luci_interpreter::execute_kernel_CircleL2Pool2D(), luci_interpreter::execute_kernel_CircleLeakyRelu(), luci_interpreter::execute_kernel_CircleLog(), luci_interpreter::execute_kernel_CircleLogicalNot(), luci_interpreter::execute_kernel_CircleLogistic(), luci_interpreter::execute_kernel_CircleLogSoftmax(), luci_interpreter::execute_kernel_CircleMaxPool2D(), luci_interpreter::execute_kernel_CircleQuantize(), luci_interpreter::execute_kernel_CircleRelu(), luci_interpreter::execute_kernel_CircleRelu6(), luci_interpreter::execute_kernel_CircleRound(), luci_interpreter::execute_kernel_CircleRsqrt(), luci_interpreter::execute_kernel_CircleShape(), luci_interpreter::execute_kernel_CircleSin(), luci_interpreter::execute_kernel_CircleSoftmax(), luci_interpreter::execute_kernel_CircleSpaceToDepth(), luci_interpreter::execute_kernel_CircleSqrt(), luci_interpreter::execute_kernel_CircleSquare(), luci_interpreter::execute_kernel_CircleSqueeze(), luci_interpreter::execute_kernel_CircleTanh(), and luci_interpreter::execute_kernel_CircleZerosLike().

    +

    Referenced by luci_interpreter::configure_kernel_CircleAbs(), luci_interpreter::configure_kernel_CircleCast(), luci_interpreter::configure_kernel_CircleCeil(), luci_interpreter::configure_kernel_CircleCos(), luci_interpreter::configure_kernel_CircleDepthToSpace(), luci_interpreter::configure_kernel_CircleDequantize(), luci_interpreter::configure_kernel_CircleElu(), luci_interpreter::configure_kernel_CircleExp(), luci_interpreter::configure_kernel_CircleL2Normalize(), luci_interpreter::configure_kernel_CircleLeakyRelu(), luci_interpreter::configure_kernel_CircleLog(), luci_interpreter::configure_kernel_CircleLogicalNot(), luci_interpreter::configure_kernel_CircleLogistic(), luci_interpreter::configure_kernel_CircleLogSoftmax(), luci_interpreter::configure_kernel_CirclePool2DCommon(), luci_interpreter::configure_kernel_CircleQuantize(), luci_interpreter::configure_kernel_CircleRelu(), luci_interpreter::configure_kernel_CircleRelu6(), luci_interpreter::configure_kernel_CircleRound(), luci_interpreter::configure_kernel_CircleRsqrt(), luci_interpreter::configure_kernel_CircleShape(), luci_interpreter::configure_kernel_CircleSin(), luci_interpreter::configure_kernel_CircleSoftmax(), luci_interpreter::configure_kernel_CircleSpaceToDepth(), luci_interpreter::configure_kernel_CircleSqrt(), luci_interpreter::configure_kernel_CircleSquare(), luci_interpreter::configure_kernel_CircleSqueeze(), luci_interpreter::configure_kernel_CircleTanh(), luci_interpreter::configure_kernel_CircleZerosLike(), luci_interpreter::createPoolParams(), luci_interpreter::execute_kernel_CircleAbs(), luci_interpreter::execute_kernel_CircleAveragePool2D(), luci_interpreter::execute_kernel_CircleCast(), luci_interpreter::execute_kernel_CircleCeil(), luci_interpreter::execute_kernel_CircleCos(), luci_interpreter::execute_kernel_CircleDepthToSpace(), luci_interpreter::execute_kernel_CircleDequantize(), luci_interpreter::execute_kernel_CircleElu(), luci_interpreter::execute_kernel_CircleExp(), luci_interpreter::execute_kernel_CircleL2Normalize(), luci_interpreter::execute_kernel_CircleL2Pool2D(), luci_interpreter::execute_kernel_CircleLeakyRelu(), luci_interpreter::execute_kernel_CircleLog(), luci_interpreter::execute_kernel_CircleLogicalNot(), luci_interpreter::execute_kernel_CircleLogistic(), luci_interpreter::execute_kernel_CircleLogSoftmax(), luci_interpreter::execute_kernel_CircleMaxPool2D(), luci_interpreter::execute_kernel_CircleQuantize(), luci_interpreter::execute_kernel_CircleRelu(), luci_interpreter::execute_kernel_CircleRelu6(), luci_interpreter::execute_kernel_CircleRound(), luci_interpreter::execute_kernel_CircleRsqrt(), luci_interpreter::execute_kernel_CircleShape(), luci_interpreter::execute_kernel_CircleSin(), luci_interpreter::execute_kernel_CircleSoftmax(), luci_interpreter::execute_kernel_CircleSpaceToDepth(), luci_interpreter::execute_kernel_CircleSqrt(), luci_interpreter::execute_kernel_CircleSquare(), luci_interpreter::execute_kernel_CircleSqueeze(), luci_interpreter::execute_kernel_CircleTanh(), and luci_interpreter::execute_kernel_CircleZerosLike().

    diff --git a/classminmax__embedder_1_1_embedder.html b/classminmax__embedder_1_1_embedder.html index 5bb4520d0a4..1b4b800fa74 100644 --- a/classminmax__embedder_1_1_embedder.html +++ b/classminmax__embedder_1_1_embedder.html @@ -224,7 +224,7 @@

    References luci::get_node_id(), luci::has_node_id(), loco::input_nodes(), luci::CircleExporter::invoke(), minmax_embedder::EmbedderOptions::max_percentile, minmax_embedder::EmbedderOptions::min_percentile, luci::CircleNode::quantparam(), and luci::validate().

    -

    Referenced by entry().

    +

    Referenced by entry().

    diff --git a/classminmax__embedder__test_1_1_h5_writer.html b/classminmax__embedder__test_1_1_h5_writer.html index 510114ae423..2d306cfee95 100644 --- a/classminmax__embedder__test_1_1_h5_writer.html +++ b/classminmax__embedder__test_1_1_h5_writer.html @@ -200,7 +200,7 @@

    References minmax_embedder_test::ensureGroup(), minmax_embedder_test::ModelSpec::n_inputs, minmax_embedder_test::ModelSpec::n_ops, and minmax_embedder_test::to_u32().

    -

    Referenced by entry().

    +

    Referenced by entry().

    diff --git a/classmir_1_1_tensor.html b/classmir_1_1_tensor.html index c6499abb71d..7b80b1a139b 100644 --- a/classmir_1_1_tensor.html +++ b/classmir_1_1_tensor.html @@ -216,7 +216,7 @@

    References mir::TensorVariant::at().

    -

    Referenced by mir_caffe::CaffeOpCreator::convertBatchNorm(), mir_onnx::convertBatchNormalizationV9(), mir_tflite::TFLiteOpCreator::convertPad(), mir_caffe2::Caffe2OpCreator::convertReshape(), mir_onnx::convertReshapeV5(), mir_tflite::TFLiteOpCreator::convertResizeNearestNeighbor(), mir_caffe2::Caffe2OpCreator::convertSpatialBN(), mir_interpreter::Dequantize(), mir_interpreter::Quantize(), mir_interpreter::AvgPool2DImpl< uint8_t >::run(), mir_interpreter::AvgPool2DImpl< T >::run(), mir_interpreter::DepthwiseConv2DImpl< T >::run(), mir_interpreter::DepthwiseConv2DImpl< uint8_t >::run(), mir_interpreter::ELUImpl< T >::run(), mir_interpreter::LeakyReLUImpl< T >::run(), mir_interpreter::CappedReLUImpl< T >::run(), mir_interpreter::CappedReLUImpl< uint8_t >::run(), mir_interpreter::SoftmaxImpl< T >::run(), mir_interpreter::AbsImpl< T >::run(), mir_interpreter::ReLUImpl< T >::run(), mir_interpreter::SigmoidImpl< T >::run(), mir_interpreter::SqrtImpl< T >::run(), mir_interpreter::TanhImpl< T >::run(), mir_interpreter::MaxPool2DImpl< uint8_t >::run(), mir_interpreter::MaxPool2DImpl< T >::run(), mir_interpreter::PadImpl< T >::run(), mir_interpreter::ReduceMeanImpl< T >::run(), mir_interpreter::FullyConnectedImpl< T >::run(), mir_interpreter::Conv2DImpl< uint8_t >::run(), mir_interpreter::AddImpl< T >::run(), mir_interpreter::AddImpl< uint8_t >::run(), mir_interpreter::DivImpl< T >::run(), mir_interpreter::EqualImpl< T >::run(), mir_interpreter::GreaterImpl< T >::run(), mir_interpreter::LessImpl< T >::run(), mir_interpreter::MaxImpl< T >::run(), mir_interpreter::MulImpl< T >::run(), mir_interpreter::SubImpl< T >::run(), and mir_interpreter::FillImpl< T >::run().

    +

    Referenced by mir_caffe::CaffeOpCreator::convertBatchNorm(), mir_onnx::convertBatchNormalizationV9(), mir_tflite::TFLiteOpCreator::convertPad(), mir_caffe2::Caffe2OpCreator::convertReshape(), mir_onnx::convertReshapeV5(), mir_tflite::TFLiteOpCreator::convertResizeNearestNeighbor(), mir_caffe2::Caffe2OpCreator::convertSpatialBN(), mir_interpreter::Dequantize(), mir_interpreter::Quantize(), mir_interpreter::AvgPool2DImpl< uint8_t >::run(), mir_interpreter::AvgPool2DImpl< T >::run(), mir_interpreter::DepthwiseConv2DImpl< T >::run(), mir_interpreter::DepthwiseConv2DImpl< uint8_t >::run(), mir_interpreter::ELUImpl< T >::run(), mir_interpreter::LeakyReLUImpl< T >::run(), mir_interpreter::CappedReLUImpl< T >::run(), mir_interpreter::CappedReLUImpl< uint8_t >::run(), mir_interpreter::SoftmaxImpl< T >::run(), mir_interpreter::AbsImpl< T >::run(), mir_interpreter::ReLUImpl< T >::run(), mir_interpreter::SigmoidImpl< T >::run(), mir_interpreter::SqrtImpl< T >::run(), mir_interpreter::TanhImpl< T >::run(), mir_interpreter::MaxPool2DImpl< uint8_t >::run(), mir_interpreter::MaxPool2DImpl< T >::run(), mir_interpreter::PadImpl< T >::run(), mir_interpreter::ReduceMeanImpl< T >::run(), mir_interpreter::FullyConnectedImpl< T >::run(), mir_interpreter::Conv2DImpl< uint8_t >::run(), mir_interpreter::AddImpl< T >::run(), mir_interpreter::AddImpl< uint8_t >::run(), mir_interpreter::DivImpl< T >::run(), mir_interpreter::EqualImpl< T >::run(), mir_interpreter::GreaterImpl< T >::run(), mir_interpreter::LessImpl< T >::run(), mir_interpreter::MaxImpl< T >::run(), mir_interpreter::MulImpl< T >::run(), mir_interpreter::SubImpl< T >::run(), and mir_interpreter::FillImpl< T >::run().

    diff --git a/classmir_1_1_tensor_variant.html b/classmir_1_1_tensor_variant.html index 8fc72af8f93..d2114ddf03d 100644 --- a/classmir_1_1_tensor_variant.html +++ b/classmir_1_1_tensor_variant.html @@ -533,7 +533,7 @@

    References mir::TensorType::getElementType().

    -

    Referenced by mir_interpreter::Add(), mir_onnx::constantToShape(), mir_interpreter::Conv2D(), mir_interpreter::Div(), mir_interpreter::ELU(), mir_interpreter::Equal(), mir_interpreter::Fill(), mir_interpreter::FullyConnected(), mir_interpreter::Greater(), mir_interpreter::LeakyReLU(), mir_interpreter::Less(), mir_interpreter::Max(), mir_interpreter::Mul(), mir_interpreter::GatherByT< T >::run(), mir_interpreter::Sub(), and TensorVariant().

    +

    Referenced by mir_interpreter::Add(), mir_onnx::constantToShape(), mir_interpreter::Conv2D(), mir_interpreter::Div(), mir_interpreter::ELU(), mir_interpreter::Equal(), mir_interpreter::Fill(), mir_interpreter::FullyConnected(), mir_interpreter::Greater(), mir_interpreter::LeakyReLU(), mir_interpreter::Less(), mir_interpreter::Max(), mir_interpreter::Mul(), mir_interpreter::GatherByT< T >::run(), mir_interpreter::Sub(), and TensorVariant().

    @@ -606,7 +606,7 @@

    References mir::TensorType::getShape().

    -

    Referenced by atOffset(), mir_interpreter::erase(), getOffset(), mir::Tensor< T >::getShape(), mir_interpreter::AvgPool2DImpl< T >::run(), mir_interpreter::DepthwiseConv2DImpl< uint8_t >::run(), mir_interpreter::SliceImpl< T >::run(), mir_interpreter::ELUImpl< T >::run(), mir_interpreter::LeakyReLUImpl< T >::run(), mir_interpreter::CappedReLUImpl< T >::run(), mir_interpreter::CappedReLUImpl< uint8_t >::run(), mir_interpreter::SoftmaxImpl< T >::run(), mir_interpreter::AbsImpl< T >::run(), mir_interpreter::ReLUImpl< T >::run(), mir_interpreter::SigmoidImpl< T >::run(), mir_interpreter::SqrtImpl< T >::run(), mir_interpreter::TanhImpl< T >::run(), mir_interpreter::TransposeImpl< T >::run(), mir_interpreter::FullyConnectedImpl< T >::run(), mir_interpreter::FullyConnectedImpl< uint8_t >::run(), mir_interpreter::GatherImpl< T, IndicesT >::run(), mir_interpreter::Conv2DImpl< T >::run(), mir_interpreter::Conv2DImpl< uint8_t >::run(), mir_interpreter::DeConv2DImpl< T >::run(), mir_interpreter::AddImpl< T >::run(), mir_interpreter::AddImpl< uint8_t >::run(), mir_interpreter::DivImpl< T >::run(), mir_interpreter::EqualImpl< T >::run(), mir_interpreter::GreaterImpl< T >::run(), mir_interpreter::LessImpl< T >::run(), mir_interpreter::MaxImpl< T >::run(), mir_interpreter::MulImpl< T >::run(), mir_interpreter::SubImpl< T >::run(), mir_interpreter::FillImpl< T >::run(), TensorVariant(), TensorVariant(), TensorVariant(), TEST(), and nnc::AclCppOpGenerator::visit().

    +

    Referenced by atOffset(), mir_interpreter::erase(), getOffset(), mir::Tensor< T >::getShape(), mir_interpreter::AvgPool2DImpl< T >::run(), mir_interpreter::DepthwiseConv2DImpl< uint8_t >::run(), mir_interpreter::SliceImpl< T >::run(), mir_interpreter::ELUImpl< T >::run(), mir_interpreter::LeakyReLUImpl< T >::run(), mir_interpreter::CappedReLUImpl< T >::run(), mir_interpreter::CappedReLUImpl< uint8_t >::run(), mir_interpreter::SoftmaxImpl< T >::run(), mir_interpreter::AbsImpl< T >::run(), mir_interpreter::ReLUImpl< T >::run(), mir_interpreter::SigmoidImpl< T >::run(), mir_interpreter::SqrtImpl< T >::run(), mir_interpreter::TanhImpl< T >::run(), mir_interpreter::TransposeImpl< T >::run(), mir_interpreter::FullyConnectedImpl< T >::run(), mir_interpreter::FullyConnectedImpl< uint8_t >::run(), mir_interpreter::GatherImpl< T, IndicesT >::run(), mir_interpreter::Conv2DImpl< T >::run(), mir_interpreter::Conv2DImpl< uint8_t >::run(), mir_interpreter::DeConv2DImpl< T >::run(), mir_interpreter::AddImpl< T >::run(), mir_interpreter::AddImpl< uint8_t >::run(), mir_interpreter::DivImpl< T >::run(), mir_interpreter::EqualImpl< T >::run(), mir_interpreter::GreaterImpl< T >::run(), mir_interpreter::LessImpl< T >::run(), mir_interpreter::MaxImpl< T >::run(), mir_interpreter::MulImpl< T >::run(), mir_interpreter::SubImpl< T >::run(), mir_interpreter::FillImpl< T >::run(), TensorVariant(), TensorVariant(), TensorVariant(), TEST(), and nnc::AclCppOpGenerator::visit().

    diff --git a/classmir__interpreter_1_1_m_i_r_interpreter.html b/classmir__interpreter_1_1_m_i_r_interpreter.html index c013eb6a69e..177aca8b53f 100644 --- a/classmir__interpreter_1_1_m_i_r_interpreter.html +++ b/classmir__interpreter_1_1_m_i_r_interpreter.html @@ -1072,9 +1072,9 @@

    319 LeakyReLU(args[0], op.getAlpha(), results[0]);
    320}
    float getAlpha() const
    Definition LeakyReluOp.h:41
    -
    void LeakyReLU(const mir::TensorVariant &arg, float alpha, mir::TensorVariant &result)
    Definition LeakyReLU.cpp:44
    +
    void LeakyReLU(const mir::TensorVariant &arg, float alpha, mir::TensorVariant &result)
    Definition LeakyReLU.cpp:44
    -

    References mir::ops::LeakyReluOp::getAlpha(), and mir_interpreter::LeakyReLU().

    +

    References mir::ops::LeakyReluOp::getAlpha(), and mir_interpreter::LeakyReLU().

    diff --git a/classmoco_1_1_padding2_d_inference.html b/classmoco_1_1_padding2_d_inference.html index b582ce339f4..bc914ab275a 100644 --- a/classmoco_1_1_padding2_d_inference.html +++ b/classmoco_1_1_padding2_d_inference.html @@ -163,7 +163,7 @@

    183
    184 fill(p, in);
    185
    -
    186 auto output = infer(p, in);
    +
    186 auto output = infer(p, in);
    187
    188 int64_t i_height = (int64_t)(output.height.value() - 1) * (int64_t)p.stride.height.value() +
    189 (int64_t)p.effective_window.height.value() - (int64_t)p.input.height.value();
    @@ -189,9 +189,9 @@

    uint32_t right(void) const
    Definition Padding2D.h:53
    void fill(Parameters &p, const PlaneShape &in)
    -
    std::vector< float > infer()
    Definition main.cpp:25
    +
    std::vector< float > infer()
    Definition main.cpp:25
    -

    References loco::Padding2D::bottom(), moco::PlaneInference::Parameters::effective_window, moco::PlaneInference::fill(), moco::PlaneShape::height, infer(), moco::PlaneInference::Parameters::input, loco::Padding2D::left(), loco::Padding2D::right(), moco::PlaneInference::Parameters::stride, loco::Padding2D::top(), loco::Dimension::value(), and moco::PlaneShape::width.

    +

    References loco::Padding2D::bottom(), moco::PlaneInference::Parameters::effective_window, moco::PlaneInference::fill(), moco::PlaneShape::height, infer(), moco::PlaneInference::Parameters::input, loco::Padding2D::left(), loco::Padding2D::right(), moco::PlaneInference::Parameters::stride, loco::Padding2D::top(), loco::Dimension::value(), and moco::PlaneShape::width.

    diff --git a/classmoco_1_1_plane_inference.html b/classmoco_1_1_plane_inference.html index 0d46ed097bb..5af9bae9266 100644 --- a/classmoco_1_1_plane_inference.html +++ b/classmoco_1_1_plane_inference.html @@ -281,12 +281,12 @@

    160
    161 fill(p, in);
    162
    -
    163 return infer(p, in);
    +
    163 return infer(p, in);
    164 }
    void fill(Parameters &p, const PlaneShape &in)
    -
    std::vector< float > infer()
    Definition main.cpp:25
    +
    std::vector< float > infer()
    Definition main.cpp:25
    -

    References fill(), and infer().

    +

    References fill(), and infer().

    diff --git a/classnnc_1_1_driver.html b/classnnc_1_1_driver.html index 440a0453a6b..a100e1ce5c7 100644 --- a/classnnc_1_1_driver.html +++ b/classnnc_1_1_driver.html @@ -134,7 +134,7 @@

    Definition at line 208 of file Driver.cpp.

    +

    Definition at line 208 of file Driver.cpp.

    209{
    210 registerOptimizationPass();
    211 registerBackendSpecificPasses();
    @@ -146,7 +146,7 @@

    Driver.h -
  • compiler/nnc/driver/Driver.cpp
  • +
  • compiler/nnc/driver/Driver.cpp
  • diff --git a/classnnc_1_1cli_1_1_command_line.html b/classnnc_1_1cli_1_1_command_line.html index da03451f898..713afa88994 100644 --- a/classnnc_1_1cli_1_1_command_line.html +++ b/classnnc_1_1cli_1_1_command_line.html @@ -186,7 +186,7 @@

    112} // getParser
    CommandLine(const CommandLine &)=delete
    -

    Referenced by main(), main(), nnc::cli::Option< T >::Option(), and TEST().

    +

    Referenced by main(), main(), nnc::cli::Option< T >::Option(), and TEST().

    @@ -354,7 +354,7 @@

    References nnc::cli::IOption::canHaveSeveralVals(), nnc::cli::BadOption::getName(), nnc::cli::IOption::getNames(), nnc::cli::BadOption::getValue(), nnc::cli::optname(), and nnc::cli::IOption::setValue().

    -

    Referenced by main(), main(), and TEST().

    +

    Referenced by main(), main(), and TEST().

    diff --git a/classnncc_1_1core_1_1_a_d_t_1_1tensor_1_1_shape.html b/classnncc_1_1core_1_1_a_d_t_1_1tensor_1_1_shape.html index 2597e98dbdd..90150574df5 100644 --- a/classnncc_1_1core_1_1_a_d_t_1_1tensor_1_1_shape.html +++ b/classnncc_1_1core_1_1_a_d_t_1_1tensor_1_1_shape.html @@ -188,7 +188,7 @@

    Definition at line 42 of file Shape.cpp.

    42{ return _dims.at(axis); }
    -

    Referenced by nncc::core::ADT::tensor::IndexEnumerator::advance(), morph::as_dims(), morph::caffe::as_feature_shape(), morph::nnapi::as_feature_shape(), morph::tflite::as_feature_shape(), morph::caffe::as_kernel_shape(), morph::nnapi::as_kernel_shape(), morph::tflite::as_kernel_shape(), caffeimport::as_tensor_shape(), tflimport::as_tensor_shape(), morph::caffe::as_tensor_shape(), morph::nnapi::as_tensor_shape(), morph::tflite::as_tensor_shape(), morph::caffe::as_tensor_shape(), morph::nnapi::as_tensor_shape(), morph::tflite::as_tensor_shape(), nnkit::support::tf::Backend::Backend(), tflimport::DepthwiseConv2DGraphBuilder::build(), tflimport::conv2D_padding(), plier::tf::copy_shape(), tflimport::depthwiseConv2D_padding(), tflimport::get_padding(), nnkit::support::tf::Runner::getTensorShapeFromGraphDef(), ConvolutionSpec::ifm_dim(), nncc::core::ADT::tensor::IndexEnumerator::IndexEnumerator(), ConvolutionSpec::ker_shape(), nncc::core::ADT::tensor::num_elements(), ConvolutionSpec::ofm_shape(), PoolingSpec::ofm_shape(), nncc::core::ADT::tensor::operator==(), nnkit::support::tftestinfo::ParsedTensor::ParsedTensor(), nnkit::support::onnx::TensorContext::shape(), and nnkit::support::tflite::tensor_shape().

    +

    Referenced by nncc::core::ADT::tensor::IndexEnumerator::advance(), morph::as_dims(), morph::caffe::as_feature_shape(), morph::nnapi::as_feature_shape(), morph::tflite::as_feature_shape(), morph::caffe::as_kernel_shape(), morph::nnapi::as_kernel_shape(), morph::tflite::as_kernel_shape(), caffeimport::as_tensor_shape(), tflimport::as_tensor_shape(), morph::caffe::as_tensor_shape(), morph::nnapi::as_tensor_shape(), morph::tflite::as_tensor_shape(), morph::caffe::as_tensor_shape(), morph::nnapi::as_tensor_shape(), morph::tflite::as_tensor_shape(), nnkit::support::tf::Backend::Backend(), tflimport::DepthwiseConv2DGraphBuilder::build(), tflimport::conv2D_padding(), plier::tf::copy_shape(), tflimport::depthwiseConv2D_padding(), tflimport::get_padding(), nnkit::support::tf::Runner::getTensorShapeFromGraphDef(), ConvolutionSpec::ifm_dim(), nncc::core::ADT::tensor::IndexEnumerator::IndexEnumerator(), ConvolutionSpec::ker_shape(), nncc::core::ADT::tensor::num_elements(), ConvolutionSpec::ofm_shape(), PoolingSpec::ofm_shape(), nncc::core::ADT::tensor::operator==(), nnkit::support::tftestinfo::ParsedTensor::ParsedTensor(), nnkit::support::onnx::TensorContext::shape(), and nnkit::support::tflite::tensor_shape().

    @@ -232,7 +232,7 @@

    Definition at line 35 of file Shape.cpp.

    35{ return _dims.size(); }
    -

    Referenced by nncc::core::ADT::tensor::IndexEnumerator::advance(), morph::as_dims(), morph::caffe::as_feature_shape(), morph::nnapi::as_feature_shape(), morph::tflite::as_feature_shape(), morph::caffe::as_kernel_shape(), morph::nnapi::as_kernel_shape(), morph::tflite::as_kernel_shape(), ShapeQuery::axis(), axis_of(), nnkit::support::tf::Backend::Backend(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), tflimport::get_padding(), ConvolutionSpec::ifm_rank(), nncc::core::ADT::tensor::IndexEnumerator::IndexEnumerator(), nncc::core::ADT::tensor::num_elements(), PoolingSpec::ofm_shape(), nncc::core::ADT::tensor::operator==(), HD5ExportAction::run(), and nncc::core::ADT::tensor::IndexEnumerator::valid().

    +

    Referenced by nncc::core::ADT::tensor::IndexEnumerator::advance(), morph::as_dims(), morph::caffe::as_feature_shape(), morph::nnapi::as_feature_shape(), morph::tflite::as_feature_shape(), morph::caffe::as_kernel_shape(), morph::nnapi::as_kernel_shape(), morph::tflite::as_kernel_shape(), ShapeQuery::axis(), axis_of(), nnkit::support::tf::Backend::Backend(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), tflimport::get_padding(), ConvolutionSpec::ifm_rank(), nncc::core::ADT::tensor::IndexEnumerator::IndexEnumerator(), nncc::core::ADT::tensor::num_elements(), PoolingSpec::ofm_shape(), nncc::core::ADT::tensor::operator==(), HD5ExportAction::run(), and nncc::core::ADT::tensor::IndexEnumerator::valid().

    diff --git a/classnnfw_1_1cker_1_1_batch_mat_mul.html b/classnnfw_1_1cker_1_1_batch_mat_mul.html index 603f6a293f9..4935e013f24 100644 --- a/classnnfw_1_1cker_1_1_batch_mat_mul.html +++ b/classnnfw_1_1cker_1_1_batch_mat_mul.html @@ -241,7 +241,7 @@

    107 }
    const luci_interpreter::RuntimeShape output_shape
    void BatchMatMul(const Shape &lhs_shape, const float *lhs_data, const Shape &rhs_shape, const float *rhs_data, const Shape &, float *output_data)
    Definition BatchMatMul.h:31
    -
    Definition Dims.h:26
    +
    Definition Dims.h:26
    Definition Shape.h:28

    References nnfw::cker::reference::BatchMatMul(), and output_shape.

    diff --git a/classnnfw_1_1cker_1_1_fused_batch_norm.html b/classnnfw_1_1cker_1_1_fused_batch_norm.html index 750c6b631ae..2e2d272a67f 100644 --- a/classnnfw_1_1cker_1_1_fused_batch_norm.html +++ b/classnnfw_1_1cker_1_1_fused_batch_norm.html @@ -402,7 +402,7 @@

    num_inputs
    int32_t size[5]
    Definition Slice.cpp:35
    -
    Definition Dims.h:26
    +
    Definition Dims.h:26
    Eigen::TensorMap< Eigen::Tensor< T, NDIMS, Eigen::RowMajor, IndexType >, Eigen::Aligned > Tensor
    Definition Tensor.h:32

    References nnfw::cker::FusedBatchNormParams::epsilon, nnfw::cker::eigen_support::GetThreadPoolDevice(), nnfw::cker::FusedBatchNormParams::is_training, offset(), output_shape, prepare(), nnfw::cker::Tensor::shaped(), size, and UNUSED_RELEASE.

    diff --git a/classnnfw_1_1cker_1_1_shape.html b/classnnfw_1_1cker_1_1_shape.html index 0f46f1e814f..ee2a3cfbe87 100644 --- a/classnnfw_1_1cker_1_1_shape.html +++ b/classnnfw_1_1cker_1_1_shape.html @@ -546,7 +546,7 @@

    Definition at line 93 of file Shape.h.

    93{ return _size; }
    -

    Referenced by nnfw::cker::train::Adam(), nnfw::cker::ArgMinMax(), nnfw::cker::AveragePool16(), nnfw::cker::AveragePool32(), nnfw::cker::AveragePool< float >(), nnfw::cker::AveragePool< int8_t >(), nnfw::cker::reference::BatchMatMul(), nnfw::cker::BatchToSpaceND(), nnfw::cker::BroadcastComparison4DSlowImpl(), nnfw::cker::BroadcastComparison4DSlowWithScaling(), nnfw::cker::BroadcastSelect4DSlow(), nnfw::cker::BroadcastTo(), nnfw::cker::checkMatching(), nnfw::cker::reference::Conv(), nnfw::cker::multithreaded::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::optimized::Conv(), nnfw::cker::Tensor::copyFrom(), nnfw::cker::train::Depad(), nnfw::cker::DepthToSpace(), nnfw::cker::DepthwiseConv(), nnfw::cker::reference_integer_ops::DepthwiseConvHybridPerChannel(), nnfw::cker::optimized::DepthwiseConvImpl(), nnfw::cker::optimized_integer_ops::DepthwiseConvPerChannel(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), nnfw::cker::optimized_integer_ops::DepthwiseConvWithRounding(), nnfw::cker::optimized::DepthwiseConvWithRounding(), nnfw::cker::optimized::DilatedIm2col(), nnfw::cker::optimized::ExtractPatchIntoBufferColumn(), nnfw::cker::FlatSizeSkipDim(), nnfw::cker::FloorDivBroadcast(), nnfw::cker::FloorModBroadcast(), nnfw::cker::BCast::FromShape(), nnfw::cker::FullyConnected(), nnfw::cker::train::FullyConnectedBiasGrad(), nnfw::cker::FullyConnectedSparseWeight16x1(), nnfw::cker::FullyConnectedSparseWeightRandom(), nnfw::cker::Gather(), nnfw::cker::train::GradientDescent(), nnfw::cker::reference::HybridConvPerChannel(), nnfw::cker::optimized::Im2col(), nnfw::cker::InitTensorDataForReduce(), nnfw::cker::L2NormalizeFloat32(), nnfw::cker::L2NormalizeQuant8(), nnfw::cker::LogicalAndBroadcast(), nnfw::cker::LogicalOrBroadcast(), nnfw::cker::LogSoftmax(), nnfw::cker::LogSoftmax(), nnfw::cker::MapAsMatrixWithLastDimAsRows(), nnfw::cker::MatchingFlatSizeSkipDim(), nnfw::cker::MatchingFlatSizeSkipDim(), nnfw::cker::MatMulBCast::MatMulBCast(), nnfw::cker::MatrixBandPart(), nnfw::cker::MaximumMinimumBroadcast4DSlow(), nnfw::cker::train::MaxPool2D(), nnfw::cker::train::MaxPool2DGrad(), nnfw::cker::MaxPool< float >(), nnfw::cker::MaxPool< uint8_t >(), nnfw::cker::Mean(), nnfw::cker::MeanAxis1And2(), nnfw::cker::MeanQ8Asymm(), nnfw::cker::Offset(), nnfw::cker::OneHot(), nnfw::cker::Einsum::operator()(), nnfw::cker::Pad(), nnfw::cker::FCTempArena::prepare(), nnfw::cker::BatchMatMul::prepare(), nnfw::cker::ReduceMean::PrepareforReduce(), nnfw::cker::ProcessBroadcastShapes(), nnfw::cker::Reduce::QuantizedMeanOrSum(), nnfw::cker::Reduce::ReduceGeneric(), nnfw::cker::ReduceImpl(), nnfw::cker::ReduceMeanImpl(), nnfw::cker::ReduceSumQuantImpl(), ReplaceWith(), nnfw::cker::ResizeBilinear(), nnfw::cker::Reverse(), nnfw::cker::reference::Softmax(), nnfw::cker::Softmax(), nnfw::cker::train::SoftMaxGrad(), nnfw::cker::SpaceToBatchND(), nnfw::cker::SpaceToDepth(), nnfw::cker::Split(), nnfw::cker::SplitV(), nnfw::cker::SqDiff(), nnfw::cker::StatelessRandomUniform(), nnfw::cker::StridedSlice(), nnfw::cker::TileOneDimension(), nnfw::cker::Transpose(), nnfw::cker::Transpose2D(), nnfw::cker::TransposeConv(), nnfw::cker::TransposeImpl(), nnfw::cker::reference::TransposeImpl(), and nnfw::cker::Unpack().

    +

    Referenced by nnfw::cker::train::Adam(), nnfw::cker::ArgMinMax(), nnfw::cker::AveragePool16(), nnfw::cker::AveragePool32(), nnfw::cker::AveragePool< float >(), nnfw::cker::AveragePool< int8_t >(), nnfw::cker::reference::BatchMatMul(), nnfw::cker::BatchToSpaceND(), nnfw::cker::BroadcastComparison4DSlowImpl(), nnfw::cker::BroadcastComparison4DSlowWithScaling(), nnfw::cker::BroadcastSelect4DSlow(), nnfw::cker::BroadcastTo(), nnfw::cker::checkMatching(), nnfw::cker::reference::Conv(), nnfw::cker::multithreaded::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::optimized::Conv(), nnfw::cker::Tensor::copyFrom(), nnfw::cker::train::Depad(), nnfw::cker::DepthToSpace(), nnfw::cker::DepthwiseConv(), nnfw::cker::reference_integer_ops::DepthwiseConvHybridPerChannel(), nnfw::cker::optimized::DepthwiseConvImpl(), nnfw::cker::optimized_integer_ops::DepthwiseConvPerChannel(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), nnfw::cker::optimized_integer_ops::DepthwiseConvWithRounding(), nnfw::cker::optimized::DepthwiseConvWithRounding(), nnfw::cker::optimized::DilatedIm2col(), nnfw::cker::optimized::ExtractPatchIntoBufferColumn(), nnfw::cker::FlatSizeSkipDim(), nnfw::cker::FloorDivBroadcast(), nnfw::cker::FloorModBroadcast(), nnfw::cker::BCast::FromShape(), nnfw::cker::FullyConnected(), nnfw::cker::train::FullyConnectedBiasGrad(), nnfw::cker::FullyConnectedSparseWeight16x1(), nnfw::cker::FullyConnectedSparseWeightRandom(), nnfw::cker::Gather(), nnfw::cker::train::GradientDescent(), nnfw::cker::reference::HybridConvPerChannel(), nnfw::cker::optimized::Im2col(), nnfw::cker::InitTensorDataForReduce(), nnfw::cker::L2NormalizeFloat32(), nnfw::cker::L2NormalizeQuant8(), nnfw::cker::LogicalAndBroadcast(), nnfw::cker::LogicalOrBroadcast(), nnfw::cker::LogSoftmax(), nnfw::cker::LogSoftmax(), nnfw::cker::MapAsMatrixWithLastDimAsRows(), nnfw::cker::MatchingFlatSizeSkipDim(), nnfw::cker::MatchingFlatSizeSkipDim(), nnfw::cker::MatMulBCast::MatMulBCast(), nnfw::cker::MatrixBandPart(), nnfw::cker::MaximumMinimumBroadcast4DSlow(), nnfw::cker::train::MaxPool2D(), nnfw::cker::train::MaxPool2DGrad(), nnfw::cker::MaxPool< float >(), nnfw::cker::MaxPool< uint8_t >(), nnfw::cker::Mean(), nnfw::cker::MeanAxis1And2(), nnfw::cker::MeanQ8Asymm(), nnfw::cker::Offset(), nnfw::cker::OneHot(), nnfw::cker::Einsum::operator()(), nnfw::cker::Pad(), nnfw::cker::FCTempArena::prepare(), nnfw::cker::BatchMatMul::prepare(), nnfw::cker::ReduceMean::PrepareforReduce(), nnfw::cker::ProcessBroadcastShapes(), nnfw::cker::Reduce::QuantizedMeanOrSum(), nnfw::cker::Reduce::ReduceGeneric(), nnfw::cker::ReduceImpl(), nnfw::cker::ReduceMeanImpl(), nnfw::cker::ReduceSumQuantImpl(), ReplaceWith(), nnfw::cker::ResizeBilinear(), nnfw::cker::Reverse(), nnfw::cker::reference::Softmax(), nnfw::cker::Softmax(), nnfw::cker::train::SoftMaxGrad(), nnfw::cker::SpaceToBatchND(), nnfw::cker::SpaceToDepth(), nnfw::cker::Split(), nnfw::cker::SplitV(), nnfw::cker::SqDiff(), nnfw::cker::StatelessRandomUniform(), nnfw::cker::StridedSlice(), nnfw::cker::TileOneDimension(), nnfw::cker::Transpose(), nnfw::cker::Transpose2D(), nnfw::cker::TransposeConv(), nnfw::cker::TransposeImpl(), nnfw::cker::reference::TransposeImpl(), and nnfw::cker::Unpack().

    @@ -584,7 +584,7 @@

    References _dims, _dims_pointer, and kMaxSmallSize.

    -

    Referenced by nnfw::cker::ArgMinMax(), nnfw::cker::AveragePool16(), nnfw::cker::AveragePool32(), nnfw::cker::AveragePool< float >(), nnfw::cker::AveragePool< int8_t >(), nnfw::cker::train::DepthwiseConv::backpropFilter(), nnfw::cker::train::DepthwiseConv::backpropInput(), nnfw::cker::reference::BatchMatMul(), nnfw::cker::BatchToSpaceND(), nnfw::cker::reference::BroadcastBinaryArithmeticOpSlow(), nnfw::cker::reference::BroadcastBinaryArithmeticOpSlow(), nnfw::cker::reference::BroadcastBinaryArithmeticOpSlow(), nnfw::cker::reference::BroadcastBinaryArithmeticOpSlow(), nnfw::cker::BroadcastSelect4DSlow(), nnfw::cker::train::CategoricalCrossEntropy(), nnfw::cker::checkMatching(), nnfw::cker::Concatenation(), nnfw::cker::ConcatenationWithScaling(), nnfw::cker::reference::Conv(), nnfw::cker::multithreaded::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::optimized::Conv(), nnfw::cker::train::ConvFilterGrad(), nnfw::cker::train::ConvInputGrad(), nnfw::cker::CopyDimsToDesc(), nnfw::cker::train::Depad(), nnfw::cker::DepthToSpace(), nnfw::cker::optimized_integer_ops::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::reference_integer_ops::DepthwiseConvHybridPerChannel(), nnfw::cker::optimized::DepthwiseConvImpl(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), nnfw::cker::optimized_integer_ops::DepthwiseConvWithRounding(), nnfw::cker::optimized::DepthwiseConvWithRounding(), nnfw::cker::optimized::DilatedIm2col(), nnfw::cker::BCast::FromShape(), nnfw::cker::FullyConnected(), nnfw::cker::FullyConnected(), nnfw::cker::train::FullyConnectedBiasGrad(), nnfw::cker::FullyConnectedHybrid(), nnfw::cker::FullyConnectedSparseWeight16x1(), nnfw::cker::FullyConnectedSparseWeightRandom(), nnfw::cker::Gather(), nnfw::cker::HowManyConvThreads(), nnfw::cker::optimized_integer_ops::HowManyConvThreads(), nnfw::cker::reference::HybridConvPerChannel(), nnfw::cker::optimized::Im2col(), nnfw::cker::LogSoftmax(), nnfw::cker::LogSoftmax(), nnfw::cker::MapAsMatrixWithLastDimAsRows(), nnfw::cker::MatchingDim(), nnfw::cker::MatchingDim(), nnfw::cker::MatchingFlatSizeSkipDim(), nnfw::cker::MatchingFlatSizeSkipDim(), nnfw::cker::MatMulBCast::MatMulBCast(), nnfw::cker::MatrixBandPart(), nnfw::cker::train::MaxPool2D(), nnfw::cker::MaxPool< float >(), nnfw::cker::MaxPool< uint8_t >(), nnfw::cker::MeanAxis1And2(), nnfw::cker::train::MSE(), nnfw::cker::OneHot(), nnfw::cker::Einsum::operator()(), nnfw::cker::Pad(), onert::backend::cpu::ops::ConvolutionLayer::prepare(), onert::backend::cpu::ops::FullyConnectedLayer::prepare(), nnfw::cker::FCTempArena::prepare(), nnfw::cker::BatchMatMul::prepare(), nnfw::cker::ProcessBroadcastShapes(), nnfw::cker::Reduce::QuantizedMeanOrSum(), nnfw::cker::ResizeBilinear(), nnfw::cker::ResizeBilinear(), nnfw::cker::ResizeBilinear(), nnfw::cker::ResizeBilinearKernel2x2(), nnfw::cker::Reverse(), nnfw::cker::Tensor::shaped(), nnfw::cker::Slice(), nnfw::cker::train::SoftMaxGrad(), nnfw::cker::SpaceToBatchND(), nnfw::cker::SpaceToDepth(), nnfw::cker::Split(), nnfw::cker::SplitV(), nnfw::cker::StartForAxis(), nnfw::cker::StopForAxis(), nnfw::cker::StridedSlice(), nnfw::cker::TileOneDimension(), nnfw::cker::Transpose3D(), nnfw::cker::TransposeConv(), and nnfw::cker::Unpack().

    +

    Referenced by nnfw::cker::ArgMinMax(), nnfw::cker::AveragePool16(), nnfw::cker::AveragePool32(), nnfw::cker::AveragePool< float >(), nnfw::cker::AveragePool< int8_t >(), nnfw::cker::train::DepthwiseConv::backpropFilter(), nnfw::cker::train::DepthwiseConv::backpropInput(), nnfw::cker::reference::BatchMatMul(), nnfw::cker::BatchToSpaceND(), nnfw::cker::reference::BroadcastBinaryArithmeticOpSlow(), nnfw::cker::reference::BroadcastBinaryArithmeticOpSlow(), nnfw::cker::reference::BroadcastBinaryArithmeticOpSlow(), nnfw::cker::reference::BroadcastBinaryArithmeticOpSlow(), nnfw::cker::BroadcastSelect4DSlow(), nnfw::cker::train::CategoricalCrossEntropy(), nnfw::cker::checkMatching(), nnfw::cker::Concatenation(), nnfw::cker::ConcatenationWithScaling(), nnfw::cker::reference::Conv(), nnfw::cker::multithreaded::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::optimized::Conv(), nnfw::cker::train::ConvFilterGrad(), nnfw::cker::train::ConvInputGrad(), nnfw::cker::CopyDimsToDesc(), nnfw::cker::train::Depad(), nnfw::cker::DepthToSpace(), nnfw::cker::optimized_integer_ops::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::reference_integer_ops::DepthwiseConvHybridPerChannel(), nnfw::cker::optimized::DepthwiseConvImpl(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), nnfw::cker::optimized_integer_ops::DepthwiseConvWithRounding(), nnfw::cker::optimized::DepthwiseConvWithRounding(), nnfw::cker::optimized::DilatedIm2col(), nnfw::cker::BCast::FromShape(), nnfw::cker::FullyConnected(), nnfw::cker::FullyConnected(), nnfw::cker::train::FullyConnectedBiasGrad(), nnfw::cker::FullyConnectedHybrid(), nnfw::cker::FullyConnectedSparseWeight16x1(), nnfw::cker::FullyConnectedSparseWeightRandom(), nnfw::cker::Gather(), nnfw::cker::HowManyConvThreads(), nnfw::cker::optimized_integer_ops::HowManyConvThreads(), nnfw::cker::reference::HybridConvPerChannel(), nnfw::cker::optimized::Im2col(), nnfw::cker::LogSoftmax(), nnfw::cker::LogSoftmax(), nnfw::cker::MapAsMatrixWithLastDimAsRows(), nnfw::cker::MatchingDim(), nnfw::cker::MatchingDim(), nnfw::cker::MatchingFlatSizeSkipDim(), nnfw::cker::MatchingFlatSizeSkipDim(), nnfw::cker::MatMulBCast::MatMulBCast(), nnfw::cker::MatrixBandPart(), nnfw::cker::train::MaxPool2D(), nnfw::cker::MaxPool< float >(), nnfw::cker::MaxPool< uint8_t >(), nnfw::cker::MeanAxis1And2(), nnfw::cker::train::MSE(), nnfw::cker::OneHot(), nnfw::cker::Einsum::operator()(), nnfw::cker::Pad(), onert::backend::cpu::ops::ConvolutionLayer::prepare(), onert::backend::cpu::ops::FullyConnectedLayer::prepare(), nnfw::cker::FCTempArena::prepare(), nnfw::cker::BatchMatMul::prepare(), nnfw::cker::ProcessBroadcastShapes(), nnfw::cker::Reduce::QuantizedMeanOrSum(), nnfw::cker::ResizeBilinear(), nnfw::cker::ResizeBilinear(), nnfw::cker::ResizeBilinear(), nnfw::cker::ResizeBilinearKernel2x2(), nnfw::cker::Reverse(), nnfw::cker::Tensor::shaped(), nnfw::cker::Slice(), nnfw::cker::train::SoftMaxGrad(), nnfw::cker::SpaceToBatchND(), nnfw::cker::SpaceToDepth(), nnfw::cker::Split(), nnfw::cker::SplitV(), nnfw::cker::StartForAxis(), nnfw::cker::StopForAxis(), nnfw::cker::StridedSlice(), nnfw::cker::TileOneDimension(), nnfw::cker::Transpose3D(), nnfw::cker::TransposeConv(), and nnfw::cker::Unpack().

    @@ -763,7 +763,7 @@

    References DimsData().

    -

    Referenced by nnfw::cker::optimized::AddBiasAndEvalActivationFunction(), nnfw::cker::AddN(), nnfw::cker::BroadcastTo(), nnfw::cker::checkMatching(), nnfw::cker::reference::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::optimized::Conv(), nnfw::cker::Tensor::copyFrom(), nnfw::cker::reference_integer_ops::DepthwiseConvHybridPerChannel(), nnfw::cker::optimized::DepthwiseConvImpl(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), nnfw::cker::optimized_integer_ops::DepthwiseConvWithRounding(), nnfw::cker::optimized::DepthwiseConvWithRounding(), nnfw::cker::Tensor::flat(), nnfw::cker::Tensor::flat(), nnfw::cker::FloorDivElementwise(), nnfw::cker::FloorModElementwise(), nnfw::cker::FullyConnected(), nnfw::cker::train::FullyConnectedBiasGrad(), onert::backend::cpu::ops::FullyConnectedLayer::fullyConnectedHybrid(), nnfw::cker::FullyConnectedHybrid(), nnfw::cker::Gather(), nnfw::cker::reference::HybridConvPerChannel(), nnfw::cker::LogicalAndElementwise(), nnfw::cker::LogicalOrElementwise(), nnfw::cker::MapAsVector(), nnfw::cker::MatchingElementsSize(), nnfw::cker::MatchingFlatSize(), nnfw::cker::MatMulBCast::MatMulBCast(), nnfw::cker::train::MaxPool2DGrad(), nnfw::cker::train::MSEGrad(), nnfw::cker::OneHot(), nnfw::cker::Conv::operator()(), onert::backend::cpu::ops::FullyConnectedLayer::prepare(), nnfw::cker::FCTempArena::prepare(), nnfw::cker::BatchMatMul::prepare(), nnfw::cker::RankOneSelect(), nnfw::cker::ReLU6(), nnfw::cker::functor::BroadcastTo< Device, T >::ReshapeAndBCast(), and nnfw::cker::Transpose().

    +

    Referenced by nnfw::cker::optimized::AddBiasAndEvalActivationFunction(), nnfw::cker::AddN(), nnfw::cker::BroadcastTo(), nnfw::cker::checkMatching(), nnfw::cker::reference::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::optimized::Conv(), nnfw::cker::Tensor::copyFrom(), nnfw::cker::reference_integer_ops::DepthwiseConvHybridPerChannel(), nnfw::cker::optimized::DepthwiseConvImpl(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), nnfw::cker::optimized_integer_ops::DepthwiseConvWithRounding(), nnfw::cker::optimized::DepthwiseConvWithRounding(), nnfw::cker::Tensor::flat(), nnfw::cker::Tensor::flat(), nnfw::cker::FloorDivElementwise(), nnfw::cker::FloorModElementwise(), nnfw::cker::FullyConnected(), nnfw::cker::train::FullyConnectedBiasGrad(), onert::backend::cpu::ops::FullyConnectedLayer::fullyConnectedHybrid(), nnfw::cker::FullyConnectedHybrid(), nnfw::cker::Gather(), nnfw::cker::reference::HybridConvPerChannel(), nnfw::cker::LogicalAndElementwise(), nnfw::cker::LogicalOrElementwise(), nnfw::cker::MapAsVector(), nnfw::cker::MatchingElementsSize(), nnfw::cker::MatchingFlatSize(), nnfw::cker::MatMulBCast::MatMulBCast(), nnfw::cker::train::MaxPool2DGrad(), nnfw::cker::train::MSEGrad(), nnfw::cker::OneHot(), nnfw::cker::Conv::operator()(), onert::backend::cpu::ops::FullyConnectedLayer::prepare(), nnfw::cker::FCTempArena::prepare(), nnfw::cker::BatchMatMul::prepare(), nnfw::cker::RankOneSelect(), nnfw::cker::ReLU6(), nnfw::cker::functor::BroadcastTo< Device, T >::ReshapeAndBCast(), and nnfw::cker::Transpose().

    diff --git a/classnnkit_1_1_backend_plugin.html b/classnnkit_1_1_backend_plugin.html index d9fd433d905..06480e58995 100644 --- a/classnnkit_1_1_backend_plugin.html +++ b/classnnkit_1_1_backend_plugin.html @@ -105,7 +105,7 @@ - + @@ -172,11 +172,11 @@

    Definition at line 35 of file BackendPlugin.h.

    -
    35 : _handle{handle}, _entry{entry}
    +
    35 : _handle{handle}, _entry{entry}
    36 {
    37 // DO NOTHING
    38 }
    -
    int entry(const int argc, char **argv)
    Definition Driver.cpp:53
    +
    int entry(const int argc, char **argv)
    Definition Driver.cpp:53
    diff --git a/classnpud_1_1core_1_1_dev_manager.html b/classnpud_1_1core_1_1_dev_manager.html index 40dfa79bc7b..567b3128e6e 100644 --- a/classnpud_1_1core_1_1_dev_manager.html +++ b/classnpud_1_1core_1_1_dev_manager.html @@ -436,7 +436,7 @@

    37 releaseModules();
    38
    39 DIR *dir;
    -
    40 struct dirent *entry;
    +
    40 struct dirent *entry;
    41
    42 // NOTE
    43 // Return NULL(0) value when opendir or readdir error occurs.
    @@ -448,9 +448,9 @@

    49 return;
    50 }
    51
    -
    52 while ((entry = readdir(dir)) != NULL)
    +
    52 while ((entry = readdir(dir)) != NULL)
    53 {
    -
    54 std::string modulePath(entry->d_name);
    +
    54 std::string modulePath(entry->d_name);
    55 if (modulePath.find("npud_backend") == std::string::npos)
    56 {
    57 continue;
    @@ -478,10 +478,10 @@

    79 closedir(dir);
    80}
    -
    int entry(const int argc, char **argv)
    Definition Driver.cpp:53
    +
    int entry(const int argc, char **argv)
    Definition Driver.cpp:53
    -

    References entry(), releaseModules(), and VERBOSE.

    +

    References entry(), releaseModules(), and VERBOSE.

    diff --git a/classonert_1_1_onert_exception.html b/classonert_1_1_onert_exception.html index a5ff8f4e567..18cd163bd97 100644 --- a/classonert_1_1_onert_exception.html +++ b/classonert_1_1_onert_exception.html @@ -215,7 +215,7 @@

    Definition at line 31 of file Exceptions.h.

    31{ return _msg.c_str(); }
    -

    Referenced by nnfw_session::run(), and nnfw_session::train_run().

    +

    Referenced by nnfw_session::run(), and nnfw_session::train_run().

    diff --git a/classonert_1_1backend_1_1acl__common_1_1_acl_tensor_builder.html b/classonert_1_1backend_1_1acl__common_1_1_acl_tensor_builder.html index 38d535280e0..690c6d19fa7 100644 --- a/classonert_1_1backend_1_1acl__common_1_1_acl_tensor_builder.html +++ b/classonert_1_1backend_1_1acl__common_1_1_acl_tensor_builder.html @@ -268,9 +268,9 @@

    218{
    220
    -
    221 for (const auto &entry : lifetime_map)
    +
    221 for (const auto &entry : lifetime_map)
    222 {
    -
    223 const auto &use = entry.second;
    +
    223 const auto &use = entry.second;
    224 const auto &use_type = use.first;
    225 const auto &use_index = use.second;
    226 assert(use_index.valid());
    @@ -291,10 +291,10 @@

    241
    242 _tensor_mgr->allocateInternalBufferManager();
    243}
    -
    int entry(const int argc, char **argv)
    Definition Driver.cpp:53
    +
    int entry(const int argc, char **argv)
    Definition Driver.cpp:53
    LifetimeMap createLifetimeMap(LifetimeSeq &seq, ir::OperandIndexMap< ParentInfo > &parent_map)
    -

    References onert::backend::cl_common::createLifetimeMap(), and entry().

    +

    References onert::backend::cl_common::createLifetimeMap(), and entry().

    diff --git a/classonert_1_1backend_1_1builtin_1_1train_1_1_kernel_generator.html b/classonert_1_1backend_1_1builtin_1_1train_1_1_kernel_generator.html index b2d85fd1e65..3af721361c0 100644 --- a/classonert_1_1backend_1_1builtin_1_1train_1_1_kernel_generator.html +++ b/classonert_1_1backend_1_1builtin_1_1train_1_1_kernel_generator.html @@ -229,9 +229,9 @@

    std::unique_ptr< exec::train::ITrainableFunction > _return_fn
    const ir::train::TrainableGraph & _tgraph
    virtual void accept(OperationVisitor &v) const override=0
    -
    const ITrainableOperation & operation(OperationIndex index) const
    +
    const ITrainableOperation & operation(OperationIndex index) const
    -

    References onert::backend::train::KernelGeneratorBase::_return_fn, onert::backend::train::KernelGeneratorBase::_tgraph, onert::ir::train::ITrainableOperation::accept(), and onert::ir::train::TrainableGraph::operation().

    +

    References onert::backend::train::KernelGeneratorBase::_return_fn, onert::backend::train::KernelGeneratorBase::_tgraph, onert::ir::train::ITrainableOperation::accept(), and onert::ir::train::TrainableGraph::operation().

    diff --git a/classonert_1_1backend_1_1cpu_1_1ops_1_1_convolution_layer.html b/classonert_1_1backend_1_1cpu_1_1ops_1_1_convolution_layer.html index 83bf0205f0f..5513e2403c0 100644 --- a/classonert_1_1backend_1_1cpu_1_1ops_1_1_convolution_layer.html +++ b/classonert_1_1backend_1_1cpu_1_1ops_1_1_convolution_layer.html @@ -499,7 +499,7 @@

    nnfw::cker::Shape getShape(const IPortableTensor *tensor)
    void GetQuantizedConvolutionMultipliersAndShifts(float input_scale, float output_scale, const float *filter_scales, size_t filter_scales_size, int num_channels, std::vector< int32_t > &per_channel_output_multiplier, std::vector< int > &per_channel_output_shift)
    nnfw::cker::PaddingType getPaddingType(ir::PaddingType ir_padding_type)
    -
    Definition Dims.h:26
    +
    Definition Dims.h:26

    References _conv_kernel, _dilationHeightFactor, _dilationWidthFactor, _hybrid_arena, _input, _is_cachable_weights, _is_hybrid, _kernel, _output, _paddingType, _prepare, _strideHeight, _strideWidth, onert::backend::IPortableTensor::data_scale(), onert::backend::IPortableTensor::data_scales(), onert::backend::ITensor::data_type(), nnfw::cker::Shape::Dims(), onert::backend::cpu::ops::getPaddingType(), onert::backend::cpu::ops::GetQuantizedConvolutionMultipliersAndShifts(), onert::backend::cpu::ops::getShape(), onert::backend::ITensor::is_dynamic(), nnfw::cker::Conv::per_channel_output_multiplier(), nnfw::cker::Conv::per_channel_output_shift(), nnfw::cker::Conv::prepareF32(), and nnfw::cker::Conv::prepareQ8uPerTensor().

    diff --git a/classonert_1_1backend_1_1cpu_1_1ops_1_1_depthwise_convolution_layer.html b/classonert_1_1backend_1_1cpu_1_1ops_1_1_depthwise_convolution_layer.html index bc496657bcb..50bea515d4d 100644 --- a/classonert_1_1backend_1_1cpu_1_1ops_1_1_depthwise_convolution_layer.html +++ b/classonert_1_1backend_1_1cpu_1_1ops_1_1_depthwise_convolution_layer.html @@ -610,9 +610,9 @@

    113 getShape(_output), getBuffer<uint8_t>(_output));
    114}
    const std::vector< int32_t > & data_zero_points() const override
    -
    void DepthwiseConvPerChannel(const DepthwiseConvParams &params, const int32_t *output_multiplier, const int32_t *output_shift, const Shape &input_shape, const uint8_t *input_data, const Shape &filter_shape, const uint8_t *filter_data, const int32_t *filter_zeropoint, const Shape &bias_shape, const int32_t *bias_data, const Shape &output_shape, uint8_t *output_data)
    +
    void DepthwiseConvPerChannel(const DepthwiseConvParams &params, const int32_t *output_multiplier, const int32_t *output_shift, const Shape &input_shape, const uint8_t *input_data, const Shape &filter_shape, const uint8_t *filter_data, const int32_t *filter_zeropoint, const Shape &bias_shape, const int32_t *bias_data, const Shape &output_shape, uint8_t *output_data)
    -

    References _activation, _bias, _dilationHeight, _dilationWidth, _input, _kernel, _multiplier, _output, _paddingLeft, _paddingTop, _strideHeight, _strideWidth, onert::backend::cpu::ops::CalculateActivationRangeQuantized(), onert::backend::IPortableTensor::data_zero_point(), onert::backend::IPortableTensor::data_zero_points(), nnfw::cker::DepthwiseConvParams::depth_multiplier, nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), nnfw::cker::DepthwiseConvParams::dilation_height_factor, nnfw::cker::DepthwiseConvParams::dilation_width_factor, onert::backend::cpu::ops::getShape(), nnfw::cker::PaddingValues::height, nnfw::cker::DepthwiseConvParams::input_offset, nnfw::cker::DepthwiseConvParams::output_offset, nnfw::cker::DepthwiseConvParams::padding_values, nnfw::cker::DepthwiseConvParams::quantized_activation_max, nnfw::cker::DepthwiseConvParams::quantized_activation_min, nnfw::cker::DepthwiseConvParams::stride_height, nnfw::cker::DepthwiseConvParams::stride_width, and nnfw::cker::PaddingValues::width.

    +

    References _activation, _bias, _dilationHeight, _dilationWidth, _input, _kernel, _multiplier, _output, _paddingLeft, _paddingTop, _strideHeight, _strideWidth, onert::backend::cpu::ops::CalculateActivationRangeQuantized(), onert::backend::IPortableTensor::data_zero_point(), onert::backend::IPortableTensor::data_zero_points(), nnfw::cker::DepthwiseConvParams::depth_multiplier, nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), nnfw::cker::DepthwiseConvParams::dilation_height_factor, nnfw::cker::DepthwiseConvParams::dilation_width_factor, onert::backend::cpu::ops::getShape(), nnfw::cker::PaddingValues::height, nnfw::cker::DepthwiseConvParams::input_offset, nnfw::cker::DepthwiseConvParams::output_offset, nnfw::cker::DepthwiseConvParams::padding_values, nnfw::cker::DepthwiseConvParams::quantized_activation_max, nnfw::cker::DepthwiseConvParams::quantized_activation_min, nnfw::cker::DepthwiseConvParams::stride_height, nnfw::cker::DepthwiseConvParams::stride_width, and nnfw::cker::PaddingValues::width.

    Referenced by run().

    diff --git a/classonert_1_1backend_1_1cpu_1_1ops_1_1_elementwise_activation_layer.html b/classonert_1_1backend_1_1cpu_1_1ops_1_1_elementwise_activation_layer.html index aa3517bebcc..6c901af1d19 100644 --- a/classonert_1_1backend_1_1cpu_1_1ops_1_1_elementwise_activation_layer.html +++ b/classonert_1_1backend_1_1cpu_1_1ops_1_1_elementwise_activation_layer.html @@ -374,7 +374,7 @@

    Definition at line 74 of file ElementwiseActivationLayer.cc.

    76{
    -
    77 const int size = MatchingFlatSize(getShape(input), getShape(output));
    +
    77 const int size = MatchingFlatSize(getShape(input), getShape(output));
    78 const uint8_t *input_data = getBuffer<uint8_t>(input);
    79 uint8_t *output_data = getBuffer<uint8_t>(output);
    80
    @@ -383,13 +383,13 @@

    83 output_data[i] = _table[input_data[i]];

    84 }
    85}
    -
    int MatchingFlatSize(const Dims< N > &dims, const Dims< N > &check_dims_0)
    Definition Dims.h:108
    +
    int MatchingFlatSize(const Dims< N > &dims, const Dims< N > &check_dims_0)
    Definition Dims.h:108
    int32_t size[5]
    Definition Slice.cpp:35
    -

    References _table, onert::backend::cpu::ops::getShape(), MatchingFlatSize(), and size.

    +

    References _table, onert::backend::cpu::ops::getShape(), MatchingFlatSize(), and size.

    Referenced by configure().

    diff --git a/classonert_1_1backend_1_1cpu_1_1ops_1_1_quantize_layer.html b/classonert_1_1backend_1_1cpu_1_1ops_1_1_quantize_layer.html index 6e703563227..ad5107005db 100644 --- a/classonert_1_1backend_1_1cpu_1_1ops_1_1_quantize_layer.html +++ b/classonert_1_1backend_1_1cpu_1_1ops_1_1_quantize_layer.html @@ -253,7 +253,7 @@

    76 (_output->data_type() == OperandType::QUANT_INT8_ASYMM))
    77 {
    -
    79 getBuffer<uint8_t>(_input), MatchingFlatSize(getShape(_input), getShape(_output)),
    +
    79 getBuffer<uint8_t>(_input), MatchingFlatSize(getShape(_input), getShape(_output)),
    80 _output_multiplier, _output_shift, _input->data_zero_point(), _output->data_zero_point(),
    81 getBuffer<int8_t>(_output));
    82 }
    @@ -261,7 +261,7 @@

    84 (_output->data_type() == OperandType::QUANT_UINT8_ASYMM))
    85 {
    -
    87 getBuffer<int8_t>(_input), MatchingFlatSize(getShape(_input), getShape(_output)),
    +
    87 getBuffer<int8_t>(_input), MatchingFlatSize(getShape(_input), getShape(_output)),
    88 _output_multiplier, _output_shift, _input->data_zero_point(), _output->data_zero_point(),
    89 getBuffer<uint8_t>(_output));
    90 }
    @@ -270,13 +270,13 @@

    93 throw std::runtime_error{"Quantize: Unsupported data type"};
    94 }
    95}
    -
    int MatchingFlatSize(const Dims< N > &dims, const Dims< N > &check_dims_0)
    Definition Dims.h:108
    +
    int MatchingFlatSize(const Dims< N > &dims, const Dims< N > &check_dims_0)
    Definition Dims.h:108
    int32_t data_zero_point() const override
    void Requantize< int8_t, uint8_t >(const int8_t *input_data, int32_t size, int32_t effective_scale_multiplier, int32_t effective_scale_shift, int32_t input_zeropoint, int32_t output_zeropoint, uint8_t *output_data)
    Definition Quantize.h:379
    void Requantize< uint8_t, int8_t >(const uint8_t *input_data, int32_t size, int32_t effective_scale_multiplier, int32_t effective_scale_shift, int32_t input_zeropoint, int32_t output_zeropoint, int8_t *output_data)
    Definition Quantize.h:311
    nnfw::cker::Shape getShape(const IPortableTensor *tensor)
    -

    References onert::backend::ITensor::data_type(), onert::backend::IPortableTensor::data_zero_point(), onert::backend::cpu::ops::getShape(), MatchingFlatSize(), nnfw::cker::Requantize< int8_t, uint8_t >(), and nnfw::cker::Requantize< uint8_t, int8_t >().

    +

    References onert::backend::ITensor::data_type(), onert::backend::IPortableTensor::data_zero_point(), onert::backend::cpu::ops::getShape(), MatchingFlatSize(), nnfw::cker::Requantize< int8_t, uint8_t >(), and nnfw::cker::Requantize< uint8_t, int8_t >().

    Referenced by package.libnnfw_api_pybind.nnfw_session_wrapper::inference().

    diff --git a/classonert_1_1backend_1_1gpu__cl_1_1_tensor_builder.html b/classonert_1_1backend_1_1gpu__cl_1_1_tensor_builder.html index 8f5a529814c..66f710f55d7 100644 --- a/classonert_1_1backend_1_1gpu__cl_1_1_tensor_builder.html +++ b/classonert_1_1backend_1_1gpu__cl_1_1_tensor_builder.html @@ -187,9 +187,9 @@

    85{
    87
    -
    88 for (const auto &entry : lifetime_map)
    +
    88 for (const auto &entry : lifetime_map)
    89 {
    -
    90 const auto &use = entry.second;
    +
    90 const auto &use = entry.second;
    91 auto use_type = use.first;
    92 auto use_index = use.second;
    93 assert(use_index.valid());
    @@ -208,10 +208,10 @@

    106 // _parent_map.size());
    107 _tensor_mgr->allocateNonconsts();
    108}
    -
    int entry(const int argc, char **argv)
    Definition Driver.cpp:53
    +
    int entry(const int argc, char **argv)
    Definition Driver.cpp:53
    LifetimeMap createLifetimeMap(LifetimeSeq &seq, ir::OperandIndexMap< ParentInfo > &parent_map)
    -

    References onert::backend::cl_common::createLifetimeMap(), and entry().

    +

    References onert::backend::cl_common::createLifetimeMap(), and entry().

    diff --git a/classonert_1_1backend_1_1train_1_1_kernel_generator.html b/classonert_1_1backend_1_1train_1_1_kernel_generator.html index 2a72c44312a..64b20fd57f9 100644 --- a/classonert_1_1backend_1_1train_1_1_kernel_generator.html +++ b/classonert_1_1backend_1_1train_1_1_kernel_generator.html @@ -268,14 +268,14 @@

    std::unique_ptr< exec::train::ITrainableFunction > _return_fn
    const ir::train::TrainableGraph & _tgraph
    virtual void accept(OperationVisitor &v) const override=0
    -
    const ITrainableOperation & operation(OperationIndex index) const
    +
    const ITrainableOperation & operation(OperationIndex index) const
    -

    References onert::backend::train::KernelGeneratorBase::_return_fn, onert::backend::train::KernelGeneratorBase::_tgraph, onert::ir::train::ITrainableOperation::accept(), onert::ir::NHWC, onert::ir::train::TrainableGraph::operation(), and onert::ir::UNDEFINED.

    +

    References onert::backend::train::KernelGeneratorBase::_return_fn, onert::backend::train::KernelGeneratorBase::_tgraph, onert::ir::train::ITrainableOperation::accept(), onert::ir::NHWC, onert::ir::train::TrainableGraph::operation(), and onert::ir::UNDEFINED.

    diff --git a/classonert_1_1compiler_1_1_compiler_factory.html b/classonert_1_1compiler_1_1_compiler_factory.html index d144a26d64c..923cc038a57 100644 --- a/classonert_1_1compiler_1_1_compiler_factory.html +++ b/classonert_1_1compiler_1_1_compiler_factory.html @@ -157,7 +157,7 @@

    47 return std::make_unique<MultiModelCompiler>(nnpkg, copts);
    48}
    -

    Referenced by nnfw_session::prepare(), and nnfw_session::train_prepare().

    +

    Referenced by nnfw_session::prepare(), and nnfw_session::train_prepare().

    @@ -190,7 +190,7 @@

    31 return singleton;
    32}
    -

    Referenced by nnfw_session::prepare(), and nnfw_session::train_prepare().

    +

    Referenced by nnfw_session::prepare(), and nnfw_session::train_prepare().

    diff --git a/classonert_1_1compiler_1_1_compiler_options.html b/classonert_1_1compiler_1_1_compiler_options.html index 2e42971ffec..88250765b16 100644 --- a/classonert_1_1compiler_1_1_compiler_options.html +++ b/classonert_1_1compiler_1_1_compiler_options.html @@ -298,7 +298,7 @@

    References onert::util::getConfigBool(), onert::util::getConfigInt(), onert::util::getConfigString(), and nnfw::misc::split().

    -

    Referenced by nnfw_session::load_circle_from_buffer(), nnfw_session::load_model_from_modelfile(), and nnfw_session::load_model_from_nnpackage().

    +

    Referenced by nnfw_session::load_circle_from_buffer(), nnfw_session::load_model_from_modelfile(), and nnfw_session::load_model_from_nnpackage().

    diff --git a/classonert_1_1compiler_1_1_h_e_scheduler.html b/classonert_1_1compiler_1_1_h_e_scheduler.html index 8a2bcac12e4..a394eb29071 100644 --- a/classonert_1_1compiler_1_1_h_e_scheduler.html +++ b/classonert_1_1compiler_1_1_h_e_scheduler.html @@ -175,11 +175,11 @@

    58 _is_profiling_mode{options.he_profiling_mode}, _is_linear_exec{options.executor == "Linear"},
    59 _is_parallel_exec{options.executor == "Parallel"}
    60 {
    -
    61 for (auto &&entry : backends)
    +
    61 for (auto &&entry : backends)
    62 {
    -
    63 if (entry->config()->id() == backend::builtin::Config::ID)
    +
    63 if (entry->config()->id() == backend::builtin::Config::ID)
    64 continue;
    -
    65 _all_backends.push_back(entry);
    +
    65 _all_backends.push_back(entry);
    66 }
    67 _backend_resolver = std::make_unique<compiler::BackendResolver>();
    68 _exec_time = std::make_unique<exec::ExecTime>(_all_backends);
    @@ -194,11 +194,11 @@

    77 _cpu_backend = *cpu_backend_it;
    78 }
    static std::string ID
    Definition Config.h:34
    -
    int entry(const int argc, char **argv)
    Definition Driver.cpp:53
    +
    int entry(const int argc, char **argv)
    Definition Driver.cpp:53
    -

    References entry(), and onert::backend::builtin::Config::ID.

    +

    References entry(), and onert::backend::builtin::Config::ID.

    diff --git a/classonert_1_1compiler_1_1train_1_1_static_backward_shape_inferer.html b/classonert_1_1compiler_1_1train_1_1_static_backward_shape_inferer.html index 135f71c33c8..def0b5037fb 100644 --- a/classonert_1_1compiler_1_1train_1_1_static_backward_shape_inferer.html +++ b/classonert_1_1compiler_1_1train_1_1_static_backward_shape_inferer.html @@ -228,10 +228,10 @@

    ir::Graph & graph() override
    std::vector< ir::OperationIndex > topolSortOperations() const
    Definition Graph.cc:184
    -
    const ITrainableOperation & operation(OperationIndex index) const
    +
    const ITrainableOperation & operation(OperationIndex index) const
    virtual std::string name() const
    Definition IOperation.h:38
    -

    References onert::compiler::train::LoweredTrainableGraph::graph(), onert::ir::IOperation::name(), onert::ir::train::TrainableGraph::operation(), onert::ir::Graph::topolSortOperations(), and onert::compiler::train::LoweredTrainableGraph::trainable_graph().

    +

    References onert::compiler::train::LoweredTrainableGraph::graph(), onert::ir::IOperation::name(), onert::ir::train::TrainableGraph::operation(), onert::ir::Graph::topolSortOperations(), and onert::compiler::train::LoweredTrainableGraph::trainable_graph().

    diff --git a/classonert_1_1compiler_1_1train_1_1pass_1_1_loss_insertion_pass.html b/classonert_1_1compiler_1_1train_1_1pass_1_1_loss_insertion_pass.html index 02cdcd94cc5..f5cbd170ada 100644 --- a/classonert_1_1compiler_1_1train_1_1pass_1_1_loss_insertion_pass.html +++ b/classonert_1_1compiler_1_1train_1_1pass_1_1_loss_insertion_pass.html @@ -299,11 +299,11 @@

    uint32_t size() const
    const OperandIndex & at(IOIndex set_index) const
    const OperandIndexSequence & getOutputs() const override
    -
    OperationIndex addOperation(std::unique_ptr< ITrainableOperation > &&operation)
    Add a new trainable operation to the graph.
    -
    OperandIndex addOperand(const Shape &shape, const TypeInfo &type)
    +
    OperationIndex addOperation(std::unique_ptr< ITrainableOperation > &&operation)
    Add a new trainable operation to the graph.
    +
    OperandIndex addOperand(const Shape &shape, const TypeInfo &type)
    const Operands & operands() const override
    -
    void addLoss(const OperandIndex &loss_ind, const IOIndex &pred_io_ind)
    -
    void addInput(const OperandIndex &ind, const std::string &name="")
    +
    void addLoss(const OperandIndex &loss_ind, const IOIndex &pred_io_ind)
    +
    void addInput(const OperandIndex &ind, const std::string &name="")
    const LossInfo & lossInfo() const
    const Object & at(const Index &index) const
    Get the object that is associated with the given index.
    @@ -312,7 +312,7 @@

    @ Sum
    ::onert::util::Index< uint32_t, IOIndexTag > IOIndex
    Definition Index.h:38
    -

    References onert::compiler::train::pass::Pass::_trainable_graph, onert::compiler::train::pass::Pass::_training_info, onert::ir::train::TrainableGraph::addInput(), onert::ir::train::TrainableGraph::addLoss(), onert::ir::train::TrainableGraph::addOperand(), onert::ir::train::TrainableGraph::addOperation(), onert::util::ObjectManager< Index, Object >::at(), onert::ir::OperandIndexSequence::at(), onert::ir::train::TrainableGraph::getOutputs(), onert::ir::train::TrainingInfo::lossInfo(), onert::ir::train::TrainableGraph::operands(), output_shape, onert::ir::OperandIndexSequence::size(), onert::ir::train::Sum, and onert::ir::train::SumOverBatchSize.

    +

    References onert::compiler::train::pass::Pass::_trainable_graph, onert::compiler::train::pass::Pass::_training_info, onert::ir::train::TrainableGraph::addInput(), onert::ir::train::TrainableGraph::addLoss(), onert::ir::train::TrainableGraph::addOperand(), onert::ir::train::TrainableGraph::addOperation(), onert::util::ObjectManager< Index, Object >::at(), onert::ir::OperandIndexSequence::at(), onert::ir::train::TrainableGraph::getOutputs(), onert::ir::train::TrainingInfo::lossInfo(), onert::ir::train::TrainableGraph::operands(), output_shape, onert::ir::OperandIndexSequence::size(), onert::ir::train::Sum, and onert::ir::train::SumOverBatchSize.

    Referenced by package.libnnfw_api_pybind.nnfw_session_wrapper::inference().

    diff --git a/classonert_1_1exec_1_1train_1_1_trainable_executor.html b/classonert_1_1exec_1_1train_1_1_trainable_executor.html index d9f390e103f..2957028a0c5 100644 --- a/classonert_1_1exec_1_1train_1_1_trainable_executor.html +++ b/classonert_1_1exec_1_1train_1_1_trainable_executor.html @@ -593,13 +593,13 @@

    206 }
    208}
    -
    OperandIndex getLossIndex(const IOIndex &pred_io_ind) const
    +
    OperandIndex getLossIndex(const IOIndex &pred_io_ind) const
    uint32_t num_elements(const Shape &shape)
    The number of elements of a feature map of a given shape.
    Definition Shape.h:59
    LossReductionType reduction_type
    Definition LossInfo.h:45
    -

    References onert::compiler::train::TensorRegistries::getITensor(), onert::ir::train::TrainableGraph::getLossIndex(), onert::ir::train::LossInfo::reduction_type, and onert::ir::train::SumOverBatchSize.

    +

    References onert::compiler::train::TensorRegistries::getITensor(), onert::ir::train::TrainableGraph::getLossIndex(), onert::ir::train::LossInfo::reduction_type, and onert::ir::train::SumOverBatchSize.

    Referenced by onert::exec::train::TrainableExecutors::getLoss().

    diff --git a/classonert_1_1ir_1_1_graph.html b/classonert_1_1ir_1_1_graph.html index bcc0e0ed503..07d40b28bbc 100644 --- a/classonert_1_1ir_1_1_graph.html +++ b/classonert_1_1ir_1_1_graph.html @@ -291,7 +291,7 @@

    References onert::ir::OperandIndexSequence::append(), and onert::ir::OperandIndexSequence::size().

    -

    Referenced by onert::ir::train::TrainableGraph::addInput().

    +

    Referenced by onert::ir::train::TrainableGraph::addInput().

    @@ -329,7 +329,7 @@

    References onert::util::ObjectManager< Index, Object >::emplace().

    -

    Referenced by onert::ir::train::TrainableGraph::addOperand(), onert::ir::train::TrainableGraph::addOperand(), onert::compiler::pass::ConstantOutputPass::callback(), and onert::base_loader::BaseLoader< LoaderDomain >::loadOperand().

    +

    Referenced by onert::ir::train::TrainableGraph::addOperand(), onert::ir::train::TrainableGraph::addOperand(), onert::compiler::pass::ConstantOutputPass::callback(), and onert::base_loader::BaseLoader< LoaderDomain >::loadOperand().

    @@ -466,7 +466,7 @@

    References onert::util::ObjectManager< Index, Object >::push().

    -

    Referenced by onert::ir::train::TrainableGraph::addOperation().

    +

    Referenced by onert::ir::train::TrainableGraph::addOperation().

    @@ -505,7 +505,7 @@

    References onert::ir::OperandIndexSequence::append(), and onert::ir::OperandIndexSequence::size().

    -

    Referenced by onert::ir::train::TrainableGraph::addOutput().

    +

    Referenced by onert::ir::train::TrainableGraph::addOutput().

    @@ -555,7 +555,7 @@

    References onert::util::ObjectManager< Index, Object >::at(), and onert::util::ObjectManager< Index, Object >::exist().

    -

    Referenced by onert::ir::train::TrainableGraph::changeShape().

    +

    Referenced by onert::ir::train::TrainableGraph::changeShape().

    @@ -591,7 +591,7 @@

    140 return (itr == _name_to_input.end()) ? IOIndex{} : itr->second;
    141}
    -

    Referenced by onert::ir::train::TrainableGraph::getInputIndex().

    +

    Referenced by onert::ir::train::TrainableGraph::getInputIndex().

    @@ -687,7 +687,7 @@

    146 return (itr == _name_to_output.end()) ? IOIndex{} : itr->second;
    147}
    -

    Referenced by onert::ir::train::TrainableGraph::getOutputIndex().

    +

    Referenced by onert::ir::train::TrainableGraph::getOutputIndex().

    @@ -897,7 +897,7 @@

    Definition at line 115 of file Graph.h.

    115{ return _operations; }
    -

    Referenced by onert::exec::DataflowExecutor::calculateRank(), onert::compiler::pass::ConstantOutputPass::callback(), onert::compiler::pass::PermutationInsertionPass::callback(), onert::backend::acl_cl::KernelGenerator::generate(), onert::backend::acl_neon::KernelGenerator::generate(), onert::backend::gpu_cl::KernelGenerator::generate(), onert::backend::ruy::KernelGenerator::generate(), onert::backend::builtin::KernelGenerator::generate(), onert::backend::trix::KernelGenerator::generate(), onert::exec::TracingObserver::handleJobBegin(), onert::exec::ProfileObserver::handleJobEnd(), onert::exec::TracingObserver::handleJobEnd(), onert::exec::MinMaxRecorder::handleJobEnd(), onert::compiler::StaticShapeInferer::infer(), onert::ir::train::TrainableGraph::operation(), onert::ir::train::TrainableGraph::operations(), onert::compiler::ShapeValidator::operator()(), onert::backend::acl_cl::Optimizer::optimize(), onert::backend::acl_neon::Optimizer::optimize(), onert::backend::cl_common::BackendContext< T_TensorBuilder, T_ConstantInitializer, T_KernelGenerator >::planTensors(), onert::compiler::pass::OperationPass::run(), onert::compiler::pass::UnusedOperandEliminationPass::run(), onert::compiler::HEScheduler::schedule(), and topolSortOperations().

    +

    Referenced by onert::exec::DataflowExecutor::calculateRank(), onert::compiler::pass::ConstantOutputPass::callback(), onert::compiler::pass::PermutationInsertionPass::callback(), onert::backend::acl_cl::KernelGenerator::generate(), onert::backend::acl_neon::KernelGenerator::generate(), onert::backend::gpu_cl::KernelGenerator::generate(), onert::backend::ruy::KernelGenerator::generate(), onert::backend::builtin::KernelGenerator::generate(), onert::backend::trix::KernelGenerator::generate(), onert::exec::TracingObserver::handleJobBegin(), onert::exec::ProfileObserver::handleJobEnd(), onert::exec::TracingObserver::handleJobEnd(), onert::exec::MinMaxRecorder::handleJobEnd(), onert::compiler::StaticShapeInferer::infer(), onert::ir::train::TrainableGraph::operation(), onert::ir::train::TrainableGraph::operations(), onert::compiler::ShapeValidator::operator()(), onert::backend::acl_cl::Optimizer::optimize(), onert::backend::acl_neon::Optimizer::optimize(), onert::backend::cl_common::BackendContext< T_TensorBuilder, T_ConstantInitializer, T_KernelGenerator >::planTensors(), onert::compiler::pass::OperationPass::run(), onert::compiler::pass::UnusedOperandEliminationPass::run(), onert::compiler::HEScheduler::schedule(), and topolSortOperations().

    @@ -931,7 +931,7 @@

    References onert::util::ObjectManager< Index, Object >::remove().

    -

    Referenced by onert::compiler::pass::ConstantInsertionPass::callback(), and onert::ir::train::TrainableGraph::removeOperand().

    +

    Referenced by onert::compiler::pass::ConstantInsertionPass::callback(), and onert::ir::train::TrainableGraph::removeOperand().

    @@ -991,7 +991,7 @@

    References onert::util::ObjectManager< Index, Object >::at(), onert::util::ObjectManager< Index, Object >::exist(), onert::ir::IOperation::getInputs(), onert::ir::IOperation::getOutputs(), and onert::util::ObjectManager< Index, Object >::set().

    -

    Referenced by onert::ir::train::TrainableGraph::replaceOperation().

    +

    Referenced by onert::ir::train::TrainableGraph::replaceOperation().

    @@ -1025,7 +1025,7 @@

    References layout().

    -

    Referenced by onert::ir::train::TrainableGraph::setLayout().

    +

    Referenced by onert::ir::train::TrainableGraph::setLayout().

    @@ -1122,7 +1122,7 @@

    References onert::util::Set< Element >::add(), onert::util::ObjectManager< Index, Object >::at(), onert::util::Set< Element >::contains(), onert::ir::DUPLICATED, onert::util::Set< Element >::empty(), onert::util::ObjectManager< Index, Object >::iterate(), operands(), operations(), onert::util::Set< Element >::remove(), and onert::ir::UNDEFINED.

    -

    Referenced by onert::compiler::StaticShapeInferer::infer(), onert::compiler::train::StaticBackwardShapeInferer::infer(), onert::compiler::Linear::linearize(), and onert::ir::train::TrainableGraph::topolSortOperations().

    +

    Referenced by onert::compiler::StaticShapeInferer::infer(), onert::compiler::train::StaticBackwardShapeInferer::infer(), onert::compiler::Linear::linearize(), and onert::ir::train::TrainableGraph::topolSortOperations().

    @@ -1164,7 +1164,7 @@

    References verify().

    -

    Referenced by onert::ir::train::TrainableGraph::verify(), and verify().

    +

    Referenced by onert::ir::train::TrainableGraph::verify(), and verify().

    diff --git a/classonert_1_1ir_1_1train_1_1_trainable_graph.html b/classonert_1_1ir_1_1train_1_1_trainable_graph.html index 701a6b592c5..b2d10f0bb75 100644 --- a/classonert_1_1ir_1_1train_1_1_trainable_graph.html +++ b/classonert_1_1ir_1_1train_1_1_trainable_graph.html @@ -219,8 +219,8 @@

    Definition at line 31 of file TrainableGraph.cc.

    -
    31: _graph{} {}
    +

    Definition at line 32 of file TrainableGraph.cc.

    +
    32: _graph{} {}
    @@ -248,20 +248,20 @@

    -

    Definition at line 33 of file TrainableGraph.cc.

    -
    34 : _graph{tgraph._graph}, _backward_operands{tgraph._backward_operands}, _losses{tgraph._losses}
    -
    35{
    -
    36 tgraph.operations().iterate(
    -
    37 [&](const onert::ir::OperationIndex &index, const onert::ir::IOperation &op) {
    -
    38 replaceOperation(index, dynamic_cast<const ITrainableOperation &>(op).clone());
    -
    39 });
    -
    40}
    -
    OperationIndex replaceOperation(OperationIndex index, std::unique_ptr< ITrainableOperation > &&operation)
    Replace a trainable operation which the graph already has.
    +

    Definition at line 34 of file TrainableGraph.cc.

    +
    35 : _graph{tgraph._graph}, _backward_operands{tgraph._backward_operands}, _losses{tgraph._losses}
    +
    36{
    +
    37 tgraph.operations().iterate(
    +
    38 [&](const onert::ir::OperationIndex &index, const onert::ir::IOperation &op) {
    +
    39 replaceOperation(index, dynamic_cast<const ITrainableOperation &>(op).clone());
    +
    40 });
    +
    41}
    +
    OperationIndex replaceOperation(OperationIndex index, std::unique_ptr< ITrainableOperation > &&operation)
    Replace a trainable operation which the graph already has.
    std::unique_ptr< Operation > clone(const IOperation &operation)
    -

    References onert::ir::clone(), onert::util::ObjectManager< Index, Object >::iterate(), operations(), and replaceOperation().

    +

    References onert::ir::clone(), onert::util::ObjectManager< Index, Object >::iterate(), operations(), and replaceOperation().

    @@ -289,8 +289,8 @@

    -

    Definition at line 42 of file TrainableGraph.cc.

    -
    42: _graph{graph} {}
    +

    Definition at line 43 of file TrainableGraph.cc.

    +
    43: _graph{graph} {}
    @@ -358,10 +358,10 @@

    Returns
    OperandIndex index if successful, UNDEFINED otherwise
    -

    Definition at line 65 of file TrainableGraph.cc.

    -
    67{
    -
    68 return _backward_operands.push(std::move(bwd_operand), index);
    -
    69}
    +

    Definition at line 66 of file TrainableGraph.cc.

    +
    68{
    +
    69 return _backward_operands.push(std::move(bwd_operand), index);
    +
    70}
    Index push(std::unique_ptr< Object > &&object, Index index)
    Put the object in the container with given index.

    References onert::util::ObjectManager< Index, Object >::push().

    @@ -394,10 +394,10 @@

    -

    Definition at line 92 of file TrainableGraph.cc.

    -
    93{
    -
    94 _graph.addInput(ind, name);
    -
    95}
    +

    Definition at line 93 of file TrainableGraph.cc.

    +
    94{
    +
    95 _graph.addInput(ind, name);
    +
    96}
    void addInput(const OperandIndex &ind, const std::string &name="")
    Definition Graph.cc:123

    References onert::ir::Graph::addInput().

    @@ -432,10 +432,10 @@

    -

    Definition at line 169 of file TrainableGraph.cc.

    -
    170{
    -
    171 _losses.emplace(pred_ioind, loss_ind);
    -
    172}
    +

    Definition at line 236 of file TrainableGraph.cc.

    +
    237{
    +
    238 _losses.emplace(pred_ioind, loss_ind);
    +
    239}

    Referenced by onert::compiler::train::pass::LossInsertionPass::run().

    @@ -467,10 +467,10 @@

    -

    Definition at line 44 of file TrainableGraph.cc.

    -
    45{
    -
    46 return _graph.addOperand(shape, type);
    -
    47}
    +

    Definition at line 45 of file TrainableGraph.cc.

    +
    46{
    +
    47 return _graph.addOperand(shape, type);
    +
    48}
    OperandIndex addOperand(const Shape &shape, const TypeInfo &type)
    Definition Graph.cc:35

    References onert::ir::Graph::addOperand().

    @@ -516,10 +516,10 @@

    Returns
    OperandIndex index if successful, UNDEFINED otherwise
    -

    Definition at line 49 of file TrainableGraph.cc.

    -
    50{
    -
    51 return _graph.addOperand(index, std::move(operand));
    -
    52}
    +

    Definition at line 50 of file TrainableGraph.cc.

    +
    51{
    +
    52 return _graph.addOperand(index, std::move(operand));
    +
    53}

    References onert::ir::Graph::addOperand().

    @@ -551,13 +551,13 @@

    Returns
    OperationIndex index if successful, UNDEFINED otherwise
    -

    Definition at line 54 of file TrainableGraph.cc.

    -
    55{
    -
    56 return _graph.addOperation(std::move(operation));
    -
    57}
    +

    Definition at line 55 of file TrainableGraph.cc.

    +
    56{
    +
    57 return _graph.addOperation(std::move(operation));
    +
    58}
    OperationIndex addOperation(std::unique_ptr< IOperation > &&node)
    Definition Graph.cc:69
    -

    References onert::ir::Graph::addOperation(), and operation().

    +

    References onert::ir::Graph::addOperation(), and operation().

    Referenced by onert::compiler::train::pass::LossInsertionPass::run().

    @@ -589,10 +589,10 @@

    -

    Definition at line 97 of file TrainableGraph.cc.

    -
    98{
    -
    99 _graph.addOutput(ind, name);
    -
    100}
    +

    Definition at line 98 of file TrainableGraph.cc.

    +
    99{
    +
    100 _graph.addOutput(ind, name);
    +
    101}
    void addOutput(const OperandIndex &ind, const std::string &name="")
    Definition Graph.cc:130

    References onert::ir::Graph::addOutput().

    @@ -642,41 +642,44 @@

    -

    Definition at line 133 of file TrainableGraph.cc.

    -
    134{
    -
    135 std::vector<ir::OperationIndex> ret;
    -
    136 util::Set<ir::OperationIndex> unvisited;
    -
    137 ir::OperationIndex loss_idx;
    -
    138 operations().iterate([&](const ir::OperationIndex &index, const ir::IOperation &op) {
    -
    139 unvisited.add(index);
    -
    140 if (op.opcode() == ir::OpCode::Loss)
    -
    141 {
    -
    142 assert(!loss_idx.valid()); // Should be only one loss
    -
    143 loss_idx = index;
    -
    144 }
    -
    145 });
    -
    146
    -
    147 std::function<void(const ir::OperationIndex &, const ir::IOperation &)> dfs =
    -
    148 [&](const ir::OperationIndex &index, const ir::IOperation &op) -> void {
    -
    149 if (!unvisited.contains(index))
    -
    150 return;
    -
    151 unvisited.remove(index);
    -
    152 ret.push_back(index);
    -
    153
    -
    154 for (const auto &input : op.getInputs() | ir::Remove::DUPLICATED | ir::Remove::UNDEFINED)
    -
    155 {
    -
    156 const auto &operand = operands().at(input);
    -
    157 const auto &def = operand.getDef();
    -
    158 if (!def.valid())
    -
    159 return;
    -
    160 dfs(def, operations().at(def));
    -
    161 }
    -
    162 };
    -
    163
    -
    164 dfs(loss_idx, operations().at(loss_idx));
    -
    165
    -
    166 return ret;
    -
    167}
    +

    Definition at line 197 of file TrainableGraph.cc.

    +
    198{
    +
    199 std::vector<ir::OperationIndex> ret;
    +
    200 util::Set<ir::OperationIndex> unvisited;
    +
    201 ir::OperationIndex loss_idx;
    +
    202 operations().iterate([&](const ir::OperationIndex &index, const ir::IOperation &op) {
    +
    203 unvisited.add(index);
    +
    204 if (op.opcode() == ir::OpCode::Loss)
    +
    205 {
    +
    206 assert(!loss_idx.valid()); // Should be only one loss
    +
    207 loss_idx = index;
    +
    208 }
    +
    209 });
    +
    210
    +
    211 std::function<void(const ir::OperationIndex &, const ir::IOperation &)> dfs =
    +
    212 [&](const ir::OperationIndex &index, const ir::IOperation &op) -> void {
    +
    213 if (!unvisited.contains(index))
    +
    214 return;
    +
    215 unvisited.remove(index);
    +
    216
    +
    217 for (const auto &input : op.getInputs() | ir::Remove::DUPLICATED | ir::Remove::UNDEFINED)
    +
    218 {
    +
    219 const auto &operand = operands().at(input);
    +
    220 const auto &def = operand.getDef();
    +
    221 if (!def.valid())
    +
    222 continue;
    +
    223 dfs(def, operations().at(def));
    +
    224 }
    +
    225
    +
    226 ret.push_back(index);
    +
    227 };
    +
    228
    +
    229 dfs(loss_idx, operations().at(loss_idx));
    +
    230 std::reverse(ret.begin(), ret.end());
    +
    231 validateBackwardTopologicalOrder(ret);
    +
    232
    +
    233 return ret;
    +
    234}
    const OperandIndexSequence & getInputs() const override
    const Operations & operations() const override
    const Operands & operands() const override
    @@ -718,11 +721,11 @@

    -

    Definition at line 86 of file TrainableGraph.cc.

    -
    87{
    -
    88 assert(_backward_operands.exist(index));
    -
    89 _backward_operands.at(index).info().shape(new_shape);
    -
    90}
    +

    Definition at line 87 of file TrainableGraph.cc.

    +
    88{
    +
    89 assert(_backward_operands.exist(index));
    +
    90 _backward_operands.at(index).info().shape(new_shape);
    +
    91}
    bool exist(const Index &index) const
    Get the object that is associated with the given index.

    References onert::util::ObjectManager< Index, Object >::at(), and onert::util::ObjectManager< Index, Object >::exist().

    @@ -765,10 +768,10 @@

    onert::ir::IGraph.

    -

    Definition at line 81 of file TrainableGraph.cc.

    -
    82{
    -
    83 _graph.changeShape(index, new_shape);
    -
    84}
    +

    Definition at line 82 of file TrainableGraph.cc.

    +
    83{
    +
    84 _graph.changeShape(index, new_shape);
    +
    85}
    void changeShape(const OperandIndex &ind, const ir::Shape &new_shape) override
    Definition Graph.cc:117

    References onert::ir::Graph::changeShape().

    @@ -801,10 +804,10 @@

    onert::ir::IGraph.

    -

    Definition at line 71 of file TrainableGraph.cc.

    -
    72{
    -
    73 return _graph.getInputIndex(name);
    -
    74}
    +

    Definition at line 72 of file TrainableGraph.cc.

    +
    73{
    +
    74 return _graph.getInputIndex(name);
    +
    75}
    IOIndex getInputIndex(const std::string &name) const override
    Definition Graph.cc:137

    References onert::ir::Graph::getInputIndex().

    @@ -862,11 +865,11 @@

    -

    Definition at line 174 of file TrainableGraph.cc.

    -
    175{
    -
    176 auto itr = _losses.find(pred_ioind);
    -
    177 return (itr == _losses.end()) ? OperandIndex{} : itr->second;
    -
    178}
    +

    Definition at line 241 of file TrainableGraph.cc.

    +
    242{
    +
    243 auto itr = _losses.find(pred_ioind);
    +
    244 return (itr == _losses.end()) ? OperandIndex{} : itr->second;
    +
    245}
    ::onert::util::Index< uint32_t, OperandIndexTag > OperandIndex
    Definition Index.h:35

    Referenced by onert::exec::train::TrainableExecutor::getLoss().

    @@ -899,10 +902,10 @@

    onert::ir::IGraph.

    -

    Definition at line 76 of file TrainableGraph.cc.

    -
    77{
    -
    78 return _graph.getOutputIndex(name);
    -
    79}
    +

    Definition at line 77 of file TrainableGraph.cc.

    +
    78{
    +
    79 return _graph.getOutputIndex(name);
    +
    80}
    IOIndex getOutputIndex(const std::string &name) const override
    Definition Graph.cc:143

    References onert::ir::Graph::getOutputIndex().

    @@ -1003,7 +1006,7 @@

    References onert::ir::Graph::layout().

    -

    Referenced by onert::backend::train::BackendContext::genTrainingTensors(), and setLayout().

    +

    Referenced by onert::backend::train::BackendContext::genTrainingTensors(), and setLayout().

    @@ -1068,7 +1071,7 @@

    References onert::ir::Graph::operands().

    -

    Referenced by btopolSortOperations(), onert::backend::train::BackendContext::genKernels(), onert::backend::builtin::train::BackendContext::genKernels(), onert::backend::basic::train::genTensors(), onert::backend::train::BackendContext::genTrainingTensors(), onert::compiler::train::pass::LossInsertionPass::run(), onert::backend::train::KernelGenerator::visit(), onert::backend::train::KernelGenerator::visit(), and onert::backend::train::KernelGenerator::visit().

    +

    Referenced by btopolSortOperations(), onert::backend::train::BackendContext::genKernels(), onert::backend::builtin::train::BackendContext::genKernels(), onert::backend::basic::train::genTensors(), onert::backend::train::BackendContext::genTrainingTensors(), onert::compiler::train::pass::LossInsertionPass::run(), onert::backend::train::KernelGenerator::visit(), onert::backend::train::KernelGenerator::visit(), and onert::backend::train::KernelGenerator::visit().

    @@ -1088,16 +1091,16 @@

    -

    Definition at line 122 of file TrainableGraph.cc.

    -
    123{
    -
    124 // NOTE Virtual inherited objects cannot be static_casted.
    -
    125 return dynamic_cast<const ITrainableOperation &>(_graph.operations().at(index));
    -
    126}
    +

    Definition at line 123 of file TrainableGraph.cc.

    +
    124{
    +
    125 // NOTE Virtual inherited objects cannot be static_casted.
    +
    126 return dynamic_cast<const ITrainableOperation &>(_graph.operations().at(index));
    +
    127}
    const Operations & operations() const override
    Definition Graph.h:115

    References onert::util::ObjectManager< Index, Object >::at(), and onert::ir::Graph::operations().

    -

    Referenced by addOperation(), onert::backend::builtin::train::KernelGenerator::generate(), onert::backend::train::KernelGenerator::generate(), onert::compiler::train::StaticBackwardShapeInferer::infer(), and replaceOperation().

    +

    Referenced by addOperation(), onert::backend::builtin::train::KernelGenerator::generate(), onert::backend::train::KernelGenerator::generate(), onert::compiler::train::StaticBackwardShapeInferer::infer(), and replaceOperation().

    @@ -1131,7 +1134,7 @@

    References onert::ir::Graph::operations().

    -

    Referenced by btopolSortOperations(), TrainableGraph(), and verify().

    +

    Referenced by btopolSortOperations(), TrainableGraph(), and verify().

    @@ -1151,8 +1154,8 @@

    -

    Definition at line 118 of file TrainableGraph.cc.

    -
    118{ _graph.removeOperand(ind); }
    +

    Definition at line 119 of file TrainableGraph.cc.

    +
    119{ _graph.removeOperand(ind); }
    void removeOperand(const OperandIndex &ind)
    Definition Graph.h:94

    References onert::ir::Graph::removeOperand().

    @@ -1196,15 +1199,15 @@

    Returns
    OperationIndex index if successful, UNDEFINED otherwise
    -

    Definition at line 59 of file TrainableGraph.cc.

    -
    61{
    -
    62 return _graph.replaceOperation(index, std::move(operation));
    -
    63}
    +

    Definition at line 60 of file TrainableGraph.cc.

    +
    62{
    +
    63 return _graph.replaceOperation(index, std::move(operation));
    +
    64}
    OperationIndex replaceOperation(OperationIndex index, std::unique_ptr< IOperation > &&operation)
    Replace an operation which the graph already has.
    Definition Graph.cc:94
    -

    References operation(), and onert::ir::Graph::replaceOperation().

    +

    References operation(), and onert::ir::Graph::replaceOperation().

    -

    Referenced by TrainableGraph().

    +

    Referenced by TrainableGraph().

    @@ -1252,8 +1255,8 @@

    -

    Definition at line 120 of file TrainableGraph.cc.

    -
    120{ _graph.setLayout(layout); }
    +

    Definition at line 121 of file TrainableGraph.cc.

    +
    121{ _graph.setLayout(layout); }
    void setLayout(Layout layout)
    Definition Graph.h:95
    @@ -1304,10 +1307,13 @@

    -

    Definition at line 128 of file TrainableGraph.cc.

    -
    129{
    -
    130 return _graph.topolSortOperations();
    -
    131}
    +

    Definition at line 189 of file TrainableGraph.cc.

    +
    190{
    +
    191 auto ret = _graph.topolSortOperations();
    +
    192 validateForwardTopologicalOrder(ret);
    +
    193
    +
    194 return ret;
    +
    195}
    std::vector< ir::OperationIndex > topolSortOperations() const
    Definition Graph.cc:184

    References onert::ir::Graph::topolSortOperations().

    @@ -1330,21 +1336,21 @@

    -

    Definition at line 102 of file TrainableGraph.cc.

    -
    103{
    -
    104 _graph.verify();
    -
    105
    - -
    107 try
    -
    108 {
    -
    109 UNUSED_RELEASE(dynamic_cast<const onert::ir::train::ITrainableOperation &>(op));
    -
    110 }
    -
    111 catch (const std::bad_cast &)
    -
    112 {
    -
    113 std::runtime_error("TrainableGraph: " + op.name() + " is not a trainable operation");
    -
    114 }
    -
    115 });
    -
    116}
    +

    Definition at line 103 of file TrainableGraph.cc.

    +
    104{
    +
    105 _graph.verify();
    +
    106
    + +
    108 try
    +
    109 {
    +
    110 UNUSED_RELEASE(dynamic_cast<const onert::ir::train::ITrainableOperation &>(op));
    +
    111 }
    +
    112 catch (const std::bad_cast &)
    +
    113 {
    +
    114 throw std::runtime_error("TrainableGraph: " + op.name() + " is not a trainable operation");
    +
    115 }
    +
    116 });
    +
    117}
    void verify(void) const
    Definition Graph.cc:149
    #define UNUSED_RELEASE(a)
    Definition Shape.h:26
    diff --git a/classonert_1_1util_1_1_index.html b/classonert_1_1util_1_1_index.html index a8cb0baa629..819b87db133 100644 --- a/classonert_1_1util_1_1_index.html +++ b/classonert_1_1util_1_1_index.html @@ -647,7 +647,7 @@

    Definition at line 127 of file Index.h.

    127{ return _index != UNDEFINED; }
    -

    Referenced by onert::backend::cl_common::createLifetimeMap(), and nnfw_session::train_export_circle().

    +

    Referenced by onert::backend::cl_common::createLifetimeMap(), and nnfw_session::train_export_circle().

    @@ -682,7 +682,7 @@

    Definition at line 139 of file Index.h.

    139{ return _index; }
    -

    Referenced by onert::ir::OperandIndexSequence::at(), onert::compiler::Compiler::compile(), onert::compiler::MultiModelCompiler::compile(), onert::exec::MultiModelExecutors::execute(), onert::exec::Execution::getOutputShape(), onert::exec::TracingObserver::handleJobBegin(), onert::exec::TracingObserver::handleJobEnd(), onert::exec::TracingObserver::handleSubgraphBegin(), onert::exec::TracingObserver::handleSubgraphEnd(), onert::exec::MultiModelExecutors::inputInfo(), onert::exec::MultiModelExecutors::outputInfo(), onert::backend::basic::FirstFitPlanner::release(), nnfw_session::train_export_circle(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), and onert::ir::OperationDumper::visit().

    +

    Referenced by onert::ir::OperandIndexSequence::at(), onert::compiler::Compiler::compile(), onert::compiler::MultiModelCompiler::compile(), onert::exec::MultiModelExecutors::execute(), onert::exec::Execution::getOutputShape(), onert::exec::TracingObserver::handleJobBegin(), onert::exec::TracingObserver::handleJobEnd(), onert::exec::TracingObserver::handleSubgraphBegin(), onert::exec::TracingObserver::handleSubgraphEnd(), onert::exec::MultiModelExecutors::inputInfo(), onert::exec::MultiModelExecutors::outputInfo(), onert::backend::basic::FirstFitPlanner::release(), nnfw_session::train_export_circle(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), and onert::ir::OperationDumper::visit().

    diff --git a/classonert_1_1util_1_1_object_manager.html b/classonert_1_1util_1_1_object_manager.html index 9d7ed258b78..3b32a6d1631 100644 --- a/classonert_1_1util_1_1_object_manager.html +++ b/classonert_1_1util_1_1_object_manager.html @@ -276,7 +276,7 @@

    References onert::util::ObjectManager< Index, Object >::_objects.

    -

    Referenced by onert::ir::train::TrainableGraph::btopolSortOperations(), onert::exec::DataflowExecutor::calculateRank(), onert::compiler::pass::ConstantOutputPass::callback(), onert::compiler::pass::PermutationInsertionPass::callback(), onert::compiler::pass::ConstantInsertionPass::callback(), onert::compiler::pass::ConstantLoweringPass::callback(), onert::ir::train::TrainableGraph::changeBackwardShape(), onert::ir::Graph::changeShape(), onert::backend::acl_common::AclConstantInitializer::copyInputInitialize(), onert::backend::gpu_cl::ClConstantInitializer::copyInputInitialize(), onert::backend::acl_cl::KernelGenerator::generate(), onert::backend::acl_neon::KernelGenerator::generate(), onert::backend::gpu_cl::KernelGenerator::generate(), onert::backend::ruy::KernelGenerator::generate(), onert::backend::builtin::KernelGenerator::generate(), onert::backend::trix::KernelGenerator::generate(), onert::exec::TracingObserver::handleJobBegin(), onert::exec::ProfileObserver::handleJobEnd(), onert::exec::TracingObserver::handleJobEnd(), onert::exec::MinMaxRecorder::handleJobEnd(), onert::compiler::StaticShapeInferer::infer(), onert::backend::cl_common::BackendContext< T_TensorBuilder, T_ConstantInitializer, T_KernelGenerator >::initConsts(), onert::backend::acl_common::kernelGenFullyConnected(), onert::backend::acl_common::kernelGenLSTM(), onert::backend::acl_common::kernelGenPool2D(), onert::base_loader::BaseLoader< LoaderDomain >::loadOperand(), onert::ir::train::TrainableGraph::operation(), onert::backend::acl_common::AclConstantInitializer::permuteInputInitialize(), onert::backend::gpu_cl::ClConstantInitializer::permuteInputInitialize(), onert::backend::cl_common::BackendContext< T_TensorBuilder, T_ConstantInitializer, T_KernelGenerator >::planTensors(), onert::backend::gpu_cl::TensorBuilder::registerTensorInfo(), onert::ir::Graph::replaceOperation(), onert::backend::acl_common::AclConstantInitializer::run(), onert::compiler::train::pass::LossInsertionPass::run(), onert::compiler::pass::OddOutputPass::run(), onert::ir::Graph::setOperandValue(), onert::ir::Graph::topolSortOperations(), onert::backend::acl_common::AclConstantInitializer::visit(), onert::backend::acl_common::AclSubTensorAnalyzer::visit(), onert::compiler::pass::PermutationOperationPass::visit(), onert::compiler::pass::PermutationOperationPass::visit(), onert::compiler::pass::PermutationOperationPass::visit(), onert::compiler::pass::PermutationOperationPass::visit(), onert::compiler::pass::PermutationOperationPass::visit(), onert::backend::acl_cl::ConstantInitializer::visit(), onert::backend::acl_cl::ConstantInitializer::visit(), onert::backend::acl_neon::ConstantInitializer::visit(), onert::compiler::pass::PermutationOperationPass::visit(), onert::backend::train::KernelGenerator::visit(), onert::backend::train::KernelGenerator::visit(), onert::backend::train::KernelGenerator::visit(), onert::ir::OperationValidator::visit(), and onert::ir::OperationValidator::visit().

    +

    Referenced by onert::ir::train::TrainableGraph::btopolSortOperations(), onert::exec::DataflowExecutor::calculateRank(), onert::compiler::pass::ConstantOutputPass::callback(), onert::compiler::pass::PermutationInsertionPass::callback(), onert::compiler::pass::ConstantInsertionPass::callback(), onert::compiler::pass::ConstantLoweringPass::callback(), onert::ir::train::TrainableGraph::changeBackwardShape(), onert::ir::Graph::changeShape(), onert::backend::acl_common::AclConstantInitializer::copyInputInitialize(), onert::backend::gpu_cl::ClConstantInitializer::copyInputInitialize(), onert::backend::acl_cl::KernelGenerator::generate(), onert::backend::acl_neon::KernelGenerator::generate(), onert::backend::gpu_cl::KernelGenerator::generate(), onert::backend::ruy::KernelGenerator::generate(), onert::backend::builtin::KernelGenerator::generate(), onert::backend::trix::KernelGenerator::generate(), onert::exec::TracingObserver::handleJobBegin(), onert::exec::ProfileObserver::handleJobEnd(), onert::exec::TracingObserver::handleJobEnd(), onert::exec::MinMaxRecorder::handleJobEnd(), onert::compiler::StaticShapeInferer::infer(), onert::backend::cl_common::BackendContext< T_TensorBuilder, T_ConstantInitializer, T_KernelGenerator >::initConsts(), onert::backend::acl_common::kernelGenFullyConnected(), onert::backend::acl_common::kernelGenLSTM(), onert::backend::acl_common::kernelGenPool2D(), onert::base_loader::BaseLoader< LoaderDomain >::loadOperand(), onert::ir::train::TrainableGraph::operation(), onert::backend::acl_common::AclConstantInitializer::permuteInputInitialize(), onert::backend::gpu_cl::ClConstantInitializer::permuteInputInitialize(), onert::backend::cl_common::BackendContext< T_TensorBuilder, T_ConstantInitializer, T_KernelGenerator >::planTensors(), onert::backend::gpu_cl::TensorBuilder::registerTensorInfo(), onert::ir::Graph::replaceOperation(), onert::backend::acl_common::AclConstantInitializer::run(), onert::compiler::train::pass::LossInsertionPass::run(), onert::compiler::pass::OddOutputPass::run(), onert::ir::Graph::setOperandValue(), onert::ir::Graph::topolSortOperations(), onert::backend::acl_common::AclConstantInitializer::visit(), onert::backend::acl_common::AclSubTensorAnalyzer::visit(), onert::compiler::pass::PermutationOperationPass::visit(), onert::compiler::pass::PermutationOperationPass::visit(), onert::compiler::pass::PermutationOperationPass::visit(), onert::compiler::pass::PermutationOperationPass::visit(), onert::compiler::pass::PermutationOperationPass::visit(), onert::backend::acl_cl::ConstantInitializer::visit(), onert::backend::acl_cl::ConstantInitializer::visit(), onert::backend::acl_neon::ConstantInitializer::visit(), onert::compiler::pass::PermutationOperationPass::visit(), onert::backend::train::KernelGenerator::visit(), onert::backend::train::KernelGenerator::visit(), onert::backend::train::KernelGenerator::visit(), onert::ir::OperationValidator::visit(), and onert::ir::OperationValidator::visit().

    @@ -376,7 +376,7 @@

    References onert::util::ObjectManager< Index, Object >::_objects.

    -

    Referenced by onert::ir::train::TrainableGraph::changeBackwardShape(), onert::ir::Graph::changeShape(), onert::ir::Graph::replaceOperation(), and onert::ir::Graph::setOperandValue().

    +

    Referenced by onert::ir::train::TrainableGraph::changeBackwardShape(), onert::ir::Graph::changeShape(), onert::ir::Graph::replaceOperation(), and onert::ir::Graph::setOperandValue().

    @@ -527,7 +527,7 @@

    References onert::util::ObjectManager< Index, Object >::_objects.

    -

    Referenced by onert::ir::train::TrainableGraph::btopolSortOperations(), onert::compiler::StaticShapeInferer::dump(), onert::backend::train::BackendContext::genKernels(), onert::backend::builtin::train::BackendContext::genKernels(), onert::backend::acl_common::AclBackendContext< T_TensorBuilder, T_ConstantInitializer, T_KernelGenerator, T_Optimizer >::genTensors(), onert::backend::gpu_cl::BackendContext::genTensors(), onert::backend::basic::train::genTensors(), onert::backend::train::BackendContext::genTrainingTensors(), onert::backend::basic::initConsts(), onert::compiler::ShapeValidator::operator()(), onert::ir::OperationValidator::operator()(), onert::backend::acl_cl::Optimizer::optimize(), onert::backend::acl_neon::Optimizer::optimize(), onert::compiler::pass::OperationPass::run(), onert::compiler::pass::UnusedOperandEliminationPass::run(), onert::compiler::pass::OperandPass::run(), onert::compiler::HEScheduler::schedule(), onert::ir::Graph::topolSortOperations(), onert::ir::train::TrainableGraph::TrainableGraph(), and onert::ir::train::TrainableGraph::verify().

    +

    Referenced by onert::ir::train::TrainableGraph::btopolSortOperations(), onert::compiler::StaticShapeInferer::dump(), onert::backend::train::BackendContext::genKernels(), onert::backend::builtin::train::BackendContext::genKernels(), onert::backend::acl_common::AclBackendContext< T_TensorBuilder, T_ConstantInitializer, T_KernelGenerator, T_Optimizer >::genTensors(), onert::backend::gpu_cl::BackendContext::genTensors(), onert::backend::basic::train::genTensors(), onert::backend::train::BackendContext::genTrainingTensors(), onert::backend::basic::initConsts(), onert::compiler::ShapeValidator::operator()(), onert::ir::OperationValidator::operator()(), onert::backend::acl_cl::Optimizer::optimize(), onert::backend::acl_neon::Optimizer::optimize(), onert::compiler::pass::OperationPass::run(), onert::compiler::pass::UnusedOperandEliminationPass::run(), onert::compiler::pass::OperandPass::run(), onert::compiler::HEScheduler::schedule(), onert::ir::Graph::topolSortOperations(), onert::ir::train::TrainableGraph::TrainableGraph(), and onert::ir::train::TrainableGraph::verify().

    @@ -693,7 +693,7 @@

    References onert::util::ObjectManager< Index, Object >::_objects.

    -

    Referenced by onert::ir::train::TrainableGraph::addBackwardOperand(), onert::ir::Graph::addOperand(), onert::ir::Graph::addOperation(), onert::ir::Graph::addOperation(), and onert::compiler::pass::ConstantOutputPass::callback().

    +

    Referenced by onert::ir::train::TrainableGraph::addBackwardOperand(), onert::ir::Graph::addOperand(), onert::ir::Graph::addOperation(), onert::ir::Graph::addOperation(), and onert::compiler::pass::ConstantOutputPass::callback().

    diff --git a/classonert_1_1util_1_1_set.html b/classonert_1_1util_1_1_set.html index 7686841cf83..c2f9512c065 100644 --- a/classonert_1_1util_1_1_set.html +++ b/classonert_1_1util_1_1_set.html @@ -290,7 +290,7 @@

    Definition at line 70 of file Set.h.

    70{ _set.insert(e); }
    -

    Referenced by onert::compiler::OperandLowerInfo::addDefPermuteFactor(), onert::compiler::OperandLowerInfo::addUsePermuteFactor(), onert::ir::train::TrainableGraph::btopolSortOperations(), onert::util::Set< Element >::operator&(), onert::compiler::pass::UnusedOperandEliminationPass::run(), and onert::ir::Graph::topolSortOperations().

    +

    Referenced by onert::compiler::OperandLowerInfo::addDefPermuteFactor(), onert::compiler::OperandLowerInfo::addUsePermuteFactor(), onert::ir::train::TrainableGraph::btopolSortOperations(), onert::util::Set< Element >::operator&(), onert::compiler::pass::UnusedOperandEliminationPass::run(), and onert::ir::Graph::topolSortOperations().

    @@ -365,7 +365,7 @@

    Definition at line 96 of file Set.h.

    96{ return _set.find(e) != _set.end(); }
    -

    Referenced by onert::ir::train::TrainableGraph::btopolSortOperations(), onert::backend::basic::initConsts(), onert::util::Set< Element >::operator&(), onert::compiler::pass::UnusedOperandEliminationPass::run(), and onert::ir::Graph::topolSortOperations().

    +

    Referenced by onert::ir::train::TrainableGraph::btopolSortOperations(), onert::backend::basic::initConsts(), onert::util::Set< Element >::operator&(), onert::compiler::pass::UnusedOperandEliminationPass::run(), and onert::ir::Graph::topolSortOperations().

    @@ -699,7 +699,7 @@

    Definition at line 76 of file Set.h.

    76{ _set.erase(e); }
    -

    Referenced by onert::ir::train::TrainableGraph::btopolSortOperations(), onert::compiler::OperandLowerInfo::removeDefPermuteFactor(), onert::compiler::OperandLowerInfo::removeUsePermuteFactor(), and onert::ir::Graph::topolSortOperations().

    +

    Referenced by onert::ir::train::TrainableGraph::btopolSortOperations(), onert::compiler::OperandLowerInfo::removeDefPermuteFactor(), onert::compiler::OperandLowerInfo::removeUsePermuteFactor(), and onert::ir::Graph::topolSortOperations().

    diff --git a/classpackage_1_1libnnfw__api__pybind_1_1nnfw__session__wrapper.html b/classpackage_1_1libnnfw__api__pybind_1_1nnfw__session__wrapper.html index 97b8bd01c1c..e7161fc87ed 100644 --- a/classpackage_1_1libnnfw__api__pybind_1_1nnfw__session__wrapper.html +++ b/classpackage_1_1libnnfw__api__pybind_1_1nnfw__session__wrapper.html @@ -210,7 +210,7 @@

    77
    78
    -

    References Operation.outputs, Request.outputs, circlechef::CircleImport.outputs(), crew::Part.outputs, luci::CircleReader.outputs(), luci::PGroup.outputs, mio::circle::Reader.outputs(), moco::ModelSignature.outputs(), tflinspect::Reader.outputs(), mio::circle::Reader.outputs(), loco::Graph.outputs(), nnkit::support::onnx::Runner.outputs(), ann::Operation.outputs(), nnc::sir::CallFunction.outputs, tflread::Reader.outputs(), luci_interpreter::CircleReader.outputs(), loco::Graph.outputs(), validate_onnx2circle.OnnxRunner.outputs, tflchef::TFliteImport.outputs(), onert_micro::core::reader::OMCircleReader.outputs(), OperationFactory::Param.outputs, nnfw_custom_kernel_params.outputs, package.libnnfw_api_pybind.nnfw_session_wrapper.outputs, onert::exec::IODescription.outputs, nnkit::support::tf::Runner.run(), onert_micro::core::OMRuntimeModule.run(), onert_micro::OMInterpreter.run(), nnfw_session.run(), NNFW_SESSION.run(), onert::backend::acl_common::AclConstantInitializer.run(), onert::backend::cpu::ops::LogSoftMaxLayer.run(), onert::backend::gpu_cl::ClConstantInitializer.run(), onert::compiler::pass::PassRunner.run(), onert::exec::Job.run(), onert::compiler::pass::OperationPass.run(), onert::compiler::pass::UnusedOperandEliminationPass.run(), onert::compiler::train::pass::LossInsertionPass.run(), arm_compute::CLArgMinMaxLayerEx.run(), arm_compute::CLDirectTransposeConvLayer.run(), arm_compute::CLFullyConnectedHybridLayer.run(), arm_compute::weights_transformations::CLFullyConnectedLayerReshapeWeightsExManaged.run(), arm_compute::CLFullyConnectedLayerEx.run(), arm_compute::CLOneHot.run(), arm_compute::CLPadLayerEx.run(), arm_compute::CLReduceOperation.run(), arm_compute::CLSplitVEx.run(), arm_compute::CLTopKV2.run(), arm_compute::CLTransposeConvLayer.run(), arm_compute::NEFullyConnectedHybridLayer.run(), arm_compute::NEFullyConnectedLayerEx.run(), arm_compute::NEInstanceNormalizationLayerEx.run(), arm_compute::NEReduceOperation.run(), arm_compute::NEReduceSum.run(), arm_compute::NETransposeConvLayer.run(), onert::api::CustomKernel.run(), onert::backend::acl_common::AclFunction.run(), onert::backend::cpu::ops::AddNLayer.run(), onert::backend::cpu::ops::ArgMinMaxLayer.run(), onert::backend::cpu::ops::BatchMatMulLayer.run(), onert::backend::cpu::ops::BatchToSpaceNDLayer.run(), onert::backend::cpu::ops::BinaryArithmeticLayer.run(), onert::backend::cpu::ops::BroadcastToLayer.run(), onert::backend::cpu::ops::CompareLayer.run(), onert::backend::cpu::ops::ConcatLayer.run(), onert::backend::cpu::ops::ConvolutionLayer.run(), onert::backend::cpu::ops::DepthToSpaceLayer.run(), onert::backend::cpu::ops::DepthwiseConvolutionLayer.run(), onert::backend::cpu::ops::DetectionPostProcessLayer.run(), onert::backend::cpu::ops::EinsumLayer.run(), onert::backend::cpu::ops::ElementwiseActivationLayer.run(), onert::backend::cpu::ops::ElementwiseBinaryLayer.run(), onert::backend::cpu::ops::ElementwiseUnaryLayer.run(), onert::backend::cpu::ops::ExpandDimsLayer.run(), onert::backend::cpu::ops::FillLayer.run(), onert::backend::cpu::ops::FullyConnectedLayer.run(), onert::backend::cpu::ops::FusedBatchNormLayer.run(), onert::backend::cpu::ops::GatherLayer.run(), onert::backend::cpu::ops::L2NormLayer.run(), onert::backend::cpu::ops::LSTMLayer.run(), onert::backend::cpu::ops::MatrixBandPartLayer.run(), onert::backend::cpu::ops::MeanLayer.run(), onert::backend::cpu::ops::OneHotLayer.run(), onert::backend::cpu::ops::PackLayer.run(), onert::backend::cpu::ops::PadLayer.run(), onert::backend::cpu::ops::PoolLayer.run(), onert::backend::cpu::ops::PowLayer.run(), onert::backend::cpu::ops::QuantizeLayer.run(), onert::backend::cpu::ops::RangeLayer.run(), onert::backend::cpu::ops::RankLayer.run(), onert::backend::cpu::ops::ReduceLayer.run(), onert::backend::cpu::ops::ReshapeLayer.run(), onert::backend::cpu::ops::ResizeBilinearLayer.run(), onert::backend::cpu::ops::ReverseLayer.run(), onert::backend::cpu::ops::SelectLayer.run(), onert::backend::cpu::ops::ShapeLayer.run(), onert::backend::cpu::ops::SliceLayer.run(), onert::backend::cpu::ops::SoftMaxLayer.run(), onert::backend::cpu::ops::SpaceToBatchNDLayer.run(), onert::backend::cpu::ops::SpaceToDepthLayer.run(), onert::backend::cpu::ops::SplitLayer.run(), onert::backend::cpu::ops::SplitVLayer.run(), onert::backend::cpu::ops::SqDiffLayer.run(), onert::backend::cpu::ops::StatelessRandomUniformLayer.run(), onert::backend::cpu::ops::StridedSliceLayer.run(), onert::backend::cpu::ops::TileLayer.run(), onert::backend::cpu::ops::TransposeLayer.run(), onert::backend::cpu::ops::UnpackLayer.run(), onert::backend::gpu_cl::ClFunction.run(), onert::backend::ruy::ops::ConvolutionLayer.run(), onert::backend::ruy::ops::FullyConnectedLayer.run(), onert::backend::trix::ops::BulkLayer.run(), onert::backend::xnnpack::ops::ConvolutionLayer.run(), onert::backend::xnnpack::ops::DepthwiseConvolutionLayer.run(), onert::backend::xnnpack::ops::FullyConnectedLayer.run(), onert::exec::FunctionSequence.run(), onert::exec::NopFunction.run(), onert::backend::builtin::kernel::IfLayer.run(), onert::backend::builtin::kernel::PermuteLayer.run(), onert::backend::builtin::kernel::WhileLayer.run(), onert::compiler::pass::OddOutputPass.run(), onert::exec::IPermuteFunction.run(), onert::exec::HookFunction.run(), onert::compiler::pass::OperandPass.run(), onert::exec::IFunction.run(), onert::compiler::pass::IPass.run(), onert::compiler::pass::Pass.run(), mir_interpreter::AvgPool2DImpl< uint8_t >.run(), mir_interpreter::AvgPool2DImpl< T >.run(), mir_interpreter::DepthwiseConv2DImpl< T >.run(), mir_interpreter::DepthwiseConv2DImpl< uint8_t >.run(), mir_interpreter::SliceImpl< T >.run(), mir_interpreter::ELUImpl< T >.run(), mir_interpreter::LeakyReLUImpl< T >.run(), mir_interpreter::CappedReLUImpl< T >.run(), mir_interpreter::CappedReLUImpl< uint8_t >.run(), mir_interpreter::SoftmaxImpl< T >.run(), mir_interpreter::AbsImpl< T >.run(), mir_interpreter::AbsImpl< uint8_t >.run(), mir_interpreter::ReLUImpl< T >.run(), mir_interpreter::ReLUImpl< uint8_t >.run(), mir_interpreter::SigmoidImpl< T >.run(), mir_interpreter::SigmoidImpl< uint8_t >.run(), mir_interpreter::SqrtImpl< T >.run(), mir_interpreter::SqrtImpl< uint8_t >.run(), mir_interpreter::TanhImpl< T >.run(), mir_interpreter::TanhImpl< uint8_t >.run(), mir_interpreter::MaxPool2DImpl< uint8_t >.run(), mir_interpreter::TransposeImpl< T >.run(), mir_interpreter::SoftmaxImpl< uint8_t >.run(), mir_interpreter::HardSwishImpl< T >.run(), mir_interpreter::HardSwishImpl< uint8_t >.run(), mir_interpreter::MaxPool2DImpl< T >.run(), mir_interpreter::PadImpl< T >.run(), mir_interpreter::ReduceMeanImpl< T >.run(), mir_interpreter::FullyConnectedImpl< T >.run(), mir_interpreter::FullyConnectedImpl< uint8_t >.run(), Executor.run(), logo::PhaseRunner< PhaseStrategy::Saturate >.run(), logo::PhaseRunner< PhaseStrategy::Restart >.run(), luci::PhaseRunner< logo::PhaseStrategy::Saturate >.run(), luci::PhaseRunner< logo::PhaseStrategy::Restart >.run(), enco::Pass.run(), enco::AvgPoolLoweringPass.run(), enco::ConcatLoweringPass.run(), enco::ConstantFoldingPass.run(), enco::CopyLoweringPass.run(), enco::DataLayoutConversionPass.run(), enco::DeadBagEliminationPass.run(), enco::DeadObjectEliminationPass.run(), enco::BagDuplicationPass.run(), enco::DuplicatedObjectReductionPass.run(), enco::FeatureUnificationPass.run(), enco::FreeInstrEliminationPass.run(), enco::FreeOpEliminationPass.run(), enco::IdenticalObjectReductionPass.run(), enco::IndirectCopyEliminationPass.run(), enco::IntrinsicSelectionPass.run(), enco::BypassGenerationPass.run(), enco::PhaseConstructionPass.run(), VerifyFlatbuffers.run(), mpqsolver::bisection::BisectionSolver.run(), mpqsolver::pattern::PatternSolver.run(), mpqsolver::MPQSolver.run(), mir_interpreter::ConcatImpl< T >.run(), mir_interpreter::ConcatImpl< uint8_t >.run(), mir_interpreter::GatherByT< T >.run(), mir_interpreter::GatherImpl< T, IndicesT >.run(), mir_interpreter::Conv2DImpl< T >.run(), mir_interpreter::Conv2DImpl< uint8_t >.run(), mir_interpreter::DeConv2DImpl< T >.run(), mir_interpreter::AddImpl< T >.run(), mir_interpreter::AddImpl< uint8_t >.run(), mir_interpreter::DivImpl< T >.run(), mir_interpreter::DivImpl< uint8_t >.run(), mir_interpreter::EqualImpl< T >.run(), mir_interpreter::GreaterImpl< T >.run(), mir_interpreter::LessImpl< T >.run(), mir_interpreter::MaxImpl< T >.run(), mir_interpreter::MaxImpl< uint8_t >.run(), mir_interpreter::MulImpl< T >.run(), mir_interpreter::MulImpl< uint8_t >.run(), mir_interpreter::SubImpl< T >.run(), mir_interpreter::SubImpl< uint8_t >.run(), arm_compute::CLArgMinMaxLayerKernelEx.run(), arm_compute::CLBinaryLogicalOpKernel.run(), arm_compute::CLEmbeddingLookupKernel.run(), arm_compute::CLGatherExKernel.run(), arm_compute::CLGEMMMatrixAccumulateBiasesKernel.run(), arm_compute::CLHashtableLookupKernel.run(), arm_compute::CLInstanceNormalizationLayerKernelEx.run(), arm_compute::CLMemsetKernel.run(), arm_compute::CLMultiplyScaleFactorKernel.run(), arm_compute::CLNegKernel.run(), arm_compute::CLOneHotKernel.run(), arm_compute::CLPadLayerKernelEx.run(), arm_compute::CLQuantizationSymmetricKernel.run(), arm_compute::CLReduceOperationKernel.run(), arm_compute::CLScaleFactorSymm8Kernel.run(), arm_compute::NECastBoolKernel.run(), arm_compute::NEEmbeddingLookupKernel.run(), arm_compute::NEGatherKernelEx.run(), arm_compute::NEGEMMMatrixAccumulateBiasesKernel.run(), arm_compute::NEHashtableLookupKernel.run(), arm_compute::NEInstanceNormalizationLayerKernelEx.run(), arm_compute::NEMultiplyScaleFactorKernel.run(), arm_compute::NEOneHotKernel.run(), arm_compute::NEQuantizationSymmetricKernel.run(), cli::App.run(), cli::Command.run(), DecodeCommand.run(), EncodeCommand.run(), InitCommand.run(), MergeCommand.run(), cli::FunctionCommand.run(), tfkit::ConvertCommand.run(), tfkit::DecodeCommand.run(), tfkit::EncodeCommand.run(), tfkit::PackCommand.run(), tfkit::UnpackCommand.run(), exo::test::TypeShapeReadyPhase.run(), logo::RemoveDeadNodePass.run(), logo::RemoveDeadNodeWithQueryPass.run(), logo::ReorderDecodePass< loco::TensorBiasAdd >.run(), logo::ReorderDecodePass< loco::ReLU >.run(), luci::CircleTypeInferencePass.run(), exo::FoldReshapeOfConstPass.run(), exo::FoldTransposeOfConstPass.run(), exo::FuseBiasAddPass.run(), exo::FuseInstanceNormPass.run(), exo::FuseReluPass.run(), exo::FuseRsqrtPass.run(), exo::FuseSquaredDifferencePass.run(), logo::RemoveForwardNodePass.run(), logo::SimplifyDomainConversionPass.run(), luci::ConvertNCHWToNHWCPass.run(), luci::ConvertToFakeQuantizedModelPass.run(), luci::DecomposeHardSwishPass.run(), luci::DecomposeSoftmaxPass.run(), luci::ExpandBroadcastConstPass.run(), luci::FoldAddV2Pass.run(), luci::FoldCastPass.run(), luci::FoldDensifyPass.run(), luci::FoldDepthwiseConv2DPass.run(), luci::FoldDequantizePass.run(), luci::FoldFullyConnectedPass.run(), luci::FoldGatherPass.run(), luci::FoldShapePass.run(), luci::FoldSparseToDensePass.run(), luci::ForwardReshapeToUnaryOpPass.run(), luci::ForwardTransposeOpPass.run(), luci::FuseActivationFunctionPass.run(), luci::FuseAddWithFullyConnectedPass.run(), luci::FuseAddWithTConvPass.run(), luci::FuseBatchNormWithConvPass.run(), luci::FuseBatchNormWithDwConvPass.run(), luci::FuseBatchNormWithTConvPass.run(), luci::FuseBCQPass.run(), luci::FuseGeluPass.run(), luci::FuseHorizontalFullyConnectedPass.run(), luci::FuseInstanceNormPass.run(), luci::FuseMeanWithMeanPass.run(), luci::FuseMulWithConvPass.run(), luci::FuseMulWithDivPass.run(), luci::FusePreActivationBatchNormPass.run(), luci::FusePReluPass.run(), luci::FuseSliceWithTConvPass.run(), luci::FuseTransposeWithMeanPass.run(), luci::MakeBatchNormGammaPositivePass.run(), luci::PropagateQParamBackwardPass.run(), luci::PropagateQParamForwardPass.run(), luci::RemoveDuplicateConstPass.run(), luci::RemoveFakeQuantPass.run(), luci::RemoveQuantDequantSeqPass.run(), luci::RemoveRedundantDequantizePass.run(), luci::RemoveRedundantQuantizePass.run(), luci::RemoveRedundantReshapePass.run(), luci::RemoveRedundantTransposePass.run(), luci::RemoveUnnecessaryAddPass.run(), luci::RemoveUnnecessaryReshapeNetPass.run(), luci::RemoveUnnecessaryReshapePass.run(), luci::RemoveUnnecessarySlicePass.run(), luci::RemoveUnnecessarySplitPass.run(), luci::RemoveUnnecessaryStridedSlicePass.run(), luci::RemoveUnnecessaryTransposeNetPass.run(), luci::ReplaceMulAddWithDepthwiseConvPass.run(), luci::ReplaceNonConstFCWithBatchMatMulPass.run(), luci::ReplaceSubWithAddPass.run(), luci::ReplaceWithFCGeluFCPass.run(), luci::ResolveCustomOpAddPass.run(), luci::ResolveCustomOpBatchMatMulPass.run(), luci::ResolveCustomOpMatMulPass.run(), luci::ResolveCustomOpMaxPoolWithArgmaxPass.run(), luci::ResolveCustomOpSplitVPass.run(), luci::ResolveFormerCustomOpPass.run(), luci::ShuffleWeightTo16x1Float32Pass.run(), luci::SparsifyTensorPass.run(), luci::SubstitutePackToReshapePass.run(), luci::SubstitutePadV2ToPadPass.run(), luci::SubstituteSplitVToSplitPass.run(), luci::SubstituteSqueezeToReshapePass.run(), luci::SubstituteStridedSliceToReshapePass.run(), luci::SubstituteTransposeToReshapePass.run(), luci::TransformMinMaxToRelu6Pass.run(), luci::TransformMinReluToRelu6Pass.run(), luci::UnrollUnidirectionalSequenceLSTMPass.run(), luci::XpSepActFromTransposeConvPass.run(), moco::RemoveTFIdentityNode.run(), exo::CanonicalNodeConverter< loco::EltwiseSub >.run(), exo::CanonicalNodeConverter< loco::Conv2D >.run(), exo::CanonicalNodeConverter< loco::ConstGen >.run(), exo::CanonicalNodeConverter< loco::MatMul >.run(), exo::CanonicalNodeConverter< loco::EltwiseMul >.run(), exo::CanonicalNodeConverter< loco::TensorReduce >.run(), exo::CanonicalNodeConverter< loco::EltwiseMax >.run(), exo::CanonicalNodeConverter< loco::ReLU6 >.run(), exo::CanonicalNodeConverter< loco::DepthwiseConv2D >.run(), exo::CanonicalNodeConverter< CanonicalType >.run(), exo::CanonicalNodeConverter< loco::TransposedConv2D >.run(), exo::CanonicalNodeConverter< loco::MaxPool2D >.run(), exo::CanonicalNodeConverter< loco::TensorTranspose >.run(), exo::CanonicalNodeConverter< loco::FeatureBiasAdd >.run(), exo::CanonicalNodeConverter< loco::ReLU >.run(), exo::CanonicalNodeConverter< loco::EltwiseDiv >.run(), exo::CanonicalNodeConverter< loco::TensorConcat >.run(), exo::CanonicalNodeConverter< loco::EltwiseAdd >.run(), exo::CanonicalNodeConverter< loco::AvgPool2D >.run(), exo::CanonicalNodeConverter< loco::EltwiseSqrt >.run(), exo::TensorBroadcastConverter.run(), exo::MergeConcatNodesPass.run(), exo::ShapeInferencePass.run(), exo::TypeInferencePass.run(), luci::CircleShapeInferencePass.run(), luci::CommonSubExpressionEliminationPass.run(), luci::CopyQuantParamPass.run(), luci::DynamicBatchToSingleBatchPass.run(), luci::ForceQuantParamPass.run(), luci::QuantizeDequantizeWeightsPass.run(), luci::QuantizeWeightsPass.run(), luci::QuantizeWithMinMaxPass.run(), luci::RequantizePass.run(), luci::QuantizePreCheckerPass.run(), moco::tf::SimpleNodeTransform< ConcreteNode >.run(), moco::tf::SimpleNodeTransform< moco::TFRealDiv >.run(), moco::tf::SimpleNodeTransform< moco::TFSub >.run(), moco::tf::SimpleNodeTransform< moco::TFRelu >.run(), moco::tf::SimpleNodeTransform<::moco::TFPlaceholder >.run(), moco::tf::SimpleNodeTransform< moco::TFMul >.run(), moco::tf::SimpleNodeTransform< moco::TFRsqrt >.run(), moco::tf::SimpleNodeTransform< moco::TFDepthwiseConv2dNative >.run(), moco::tf::SimpleNodeTransform< moco::TFConst >.run(), moco::tf::SimpleNodeTransform< moco::TFStopGradient >.run(), moco::tf::SimpleNodeTransform< moco::TFSqueeze >.run(), moco::tf::SimpleNodeTransform< moco::TFAvgPool >.run(), moco::tf::SimpleNodeTransform< moco::TFMaxPool >.run(), moco::tf::SimpleNodeTransform< moco::TFConv2DBackpropInput >.run(), moco::tf::SimpleNodeTransform< moco::TFSoftmax >.run(), moco::tf::SimpleNodeTransform< moco::TFPad >.run(), moco::tf::SimpleNodeTransform< TFAdd >.run(), moco::tf::SimpleNodeTransform< moco::TFTanh >.run(), moco::tf::SimpleNodeTransform< moco::TFReshape >.run(), moco::tf::SimpleNodeTransform< moco::TFIdentity >.run(), moco::tf::SimpleNodeTransform< TFConv2D >.run(), moco::tf::SimpleNodeTransform< moco::TFSqrt >.run(), moco::tf::SimpleNodeTransform< moco::TFConcatV2 >.run(), moco::tf::SimpleNodeTransform< moco::TFMaximum >.run(), moco::tf::SimpleNodeTransform< moco::TFPush >.run(), moco::tf::SimpleNodeTransform< moco::TFMean >.run(), moco::tf::SimpleNodeTransform< moco::TFRelu6 >.run(), moco::tf::SimpleNodeTransform< moco::TFBiasAdd >.run(), logo::ConstantFoldingPass.run(), logo::ResolveDuplicateReshapePass.run(), logo::ResolveRedundantReshapePass.run(), moco::tf::ShapeInferencePass.run(), moco::tf::TypeInferencePass.run(), moco::ConstantFoldAdd.run(), moco::ConstantFoldMul.run(), moco::ConstantFoldPack.run(), moco::ConstantFoldStridedSlice.run(), moco::FuseBinaryIntoPreceding.run(), moco::ResolveConstantShape.run(), moco::ResolveFusedBatchNorm.run(), moco::ResolveReshapeWildcardDim.run(), moco::ResolveSquaredDifference.run(), moco::SqueezeReduceNode.run(), logo::Pass.run(), locomotiv::NodeExecution.run(), luci::Pass.run(), luci::CircleShapeInferencePass.run(), luci::CircleTypeInferencePass.run(), luci::FuseBCQPass.run(), nnc::InterpreterBackend.run(), nnc::AclCppCodeGenerator.run(), nnc::CPPCodeGenerator.run(), mir_interpreter::FillImpl< T >.run(), ShowAction.run(), nnc::DumperPass.run(), nnc::CombineTransposes.run(), nnc::ConstantFoldTranspose.run(), nnc::DeadCodeElimination.run(), nnc::FuseArithmeticOps.run(), nnc::SinkRelu.run(), nnc::SinkTranspose.run(), nnc::DataFormatSwitcher.run(), nnc::LowerConv2D.run(), DummyPass1.run(), DummyPass2.run(), nnc::Pass.run(), Command.Command.run(), validate_onnx2circle.OnnxRunner.run(), test_utils.TestRunner.run(), QErrorComputer.QErrorComputer.run(), QErrorComputer.MPEIRComputer.run(), QErrorComputer.MSEComputer.run(), QErrorComputer.TAEComputer.run(), QErrorComputer.SRMSEComputer.run(), CfgRunner.CfgRunner.run(), WorkflowRunner.WorkflowRunner.run(), circleinspect::DumpOperators.run(), circleinspect::DumpConv2DWeight.run(), circleinspect::DumpOperatorVersion.run(), circleinspect::DumpTensorDType.run(), circleinspect::DumpConstants.run(), circleinspect::DumpInterface.run(), cirops::DumpOperators.run(), circletensordump::DumpTensors.run(), circletensordump::DumpTensorsToHdf5.run(), circletensordump::DumpInterface.run(), tflinspect::DumpOperators.run(), tflinspect::DumpConv2DWeight.run(), tflinspect::DumpOperatorVersion.run(), tflinspect::DumpInterface.run(), RandomizeAction.run(), HD5ExportAction.run(), HD5ImportAction.run(), nnkit::Action.run(), moco::tf::test::TFNodeBuildTester.run(), moco::test::TFNodeBuildTester.run(), TfLiteInterpMatchApp.run(), nnfw::tflite::RandomInputInitializer.run(), prunner::PModelsRunner.run(), nnkit::support::onnx::Runner.run(), npud::core::Server.run(), nnkit::support::caffe::Backend< DType >.run(), nnkit::support::moco::tf::Backend.run(), nnkit::support::onnx::Backend.run(), nnkit::support::tf::Backend.run(), nnkit::support::tflite::AbstractBackend.run(), arm_compute::CLFullyConnectedReshapingLayer.run(), arm_compute::NEFullyConnectedReshapingLayer.run(), nnfw::tflite::InterpreterSession.run(), nnkit::Backend.run(), and nnfw::tflite::Session.run().

    +

    References Operation.outputs, Request.outputs, circlechef::CircleImport.outputs(), crew::Part.outputs, luci::CircleReader.outputs(), luci::PGroup.outputs, mio::circle::Reader.outputs(), moco::ModelSignature.outputs(), tflinspect::Reader.outputs(), mio::circle::Reader.outputs(), loco::Graph.outputs(), nnkit::support::onnx::Runner.outputs(), ann::Operation.outputs(), nnc::sir::CallFunction.outputs, tflread::Reader.outputs(), luci_interpreter::CircleReader.outputs(), loco::Graph.outputs(), validate_onnx2circle.OnnxRunner.outputs, tflchef::TFliteImport.outputs(), onert_micro::core::reader::OMCircleReader.outputs(), OperationFactory::Param.outputs, nnfw_custom_kernel_params.outputs, package.libnnfw_api_pybind.nnfw_session_wrapper.outputs, onert::exec::IODescription.outputs, nnkit::support::tf::Runner.run(), onert_micro::core::OMRuntimeModule.run(), onert_micro::OMInterpreter.run(), nnfw_session.run(), NNFW_SESSION.run(), onert::backend::acl_common::AclConstantInitializer.run(), onert::backend::cpu::ops::LogSoftMaxLayer.run(), onert::backend::gpu_cl::ClConstantInitializer.run(), onert::compiler::pass::PassRunner.run(), onert::exec::Job.run(), onert::compiler::pass::OperationPass.run(), onert::compiler::pass::UnusedOperandEliminationPass.run(), onert::compiler::train::pass::LossInsertionPass.run(), arm_compute::CLArgMinMaxLayerEx.run(), arm_compute::CLDirectTransposeConvLayer.run(), arm_compute::CLFullyConnectedHybridLayer.run(), arm_compute::weights_transformations::CLFullyConnectedLayerReshapeWeightsExManaged.run(), arm_compute::CLFullyConnectedLayerEx.run(), arm_compute::CLOneHot.run(), arm_compute::CLPadLayerEx.run(), arm_compute::CLReduceOperation.run(), arm_compute::CLSplitVEx.run(), arm_compute::CLTopKV2.run(), arm_compute::CLTransposeConvLayer.run(), arm_compute::NEFullyConnectedHybridLayer.run(), arm_compute::NEFullyConnectedLayerEx.run(), arm_compute::NEInstanceNormalizationLayerEx.run(), arm_compute::NEReduceOperation.run(), arm_compute::NEReduceSum.run(), arm_compute::NETransposeConvLayer.run(), onert::api::CustomKernel.run(), onert::backend::acl_common::AclFunction.run(), onert::backend::cpu::ops::AddNLayer.run(), onert::backend::cpu::ops::ArgMinMaxLayer.run(), onert::backend::cpu::ops::BatchMatMulLayer.run(), onert::backend::cpu::ops::BatchToSpaceNDLayer.run(), onert::backend::cpu::ops::BinaryArithmeticLayer.run(), onert::backend::cpu::ops::BroadcastToLayer.run(), onert::backend::cpu::ops::CompareLayer.run(), onert::backend::cpu::ops::ConcatLayer.run(), onert::backend::cpu::ops::ConvolutionLayer.run(), onert::backend::cpu::ops::DepthToSpaceLayer.run(), onert::backend::cpu::ops::DepthwiseConvolutionLayer.run(), onert::backend::cpu::ops::DetectionPostProcessLayer.run(), onert::backend::cpu::ops::EinsumLayer.run(), onert::backend::cpu::ops::ElementwiseActivationLayer.run(), onert::backend::cpu::ops::ElementwiseBinaryLayer.run(), onert::backend::cpu::ops::ElementwiseUnaryLayer.run(), onert::backend::cpu::ops::ExpandDimsLayer.run(), onert::backend::cpu::ops::FillLayer.run(), onert::backend::cpu::ops::FullyConnectedLayer.run(), onert::backend::cpu::ops::FusedBatchNormLayer.run(), onert::backend::cpu::ops::GatherLayer.run(), onert::backend::cpu::ops::L2NormLayer.run(), onert::backend::cpu::ops::LSTMLayer.run(), onert::backend::cpu::ops::MatrixBandPartLayer.run(), onert::backend::cpu::ops::MeanLayer.run(), onert::backend::cpu::ops::OneHotLayer.run(), onert::backend::cpu::ops::PackLayer.run(), onert::backend::cpu::ops::PadLayer.run(), onert::backend::cpu::ops::PoolLayer.run(), onert::backend::cpu::ops::PowLayer.run(), onert::backend::cpu::ops::QuantizeLayer.run(), onert::backend::cpu::ops::RangeLayer.run(), onert::backend::cpu::ops::RankLayer.run(), onert::backend::cpu::ops::ReduceLayer.run(), onert::backend::cpu::ops::ReshapeLayer.run(), onert::backend::cpu::ops::ResizeBilinearLayer.run(), onert::backend::cpu::ops::ReverseLayer.run(), onert::backend::cpu::ops::SelectLayer.run(), onert::backend::cpu::ops::ShapeLayer.run(), onert::backend::cpu::ops::SliceLayer.run(), onert::backend::cpu::ops::SoftMaxLayer.run(), onert::backend::cpu::ops::SpaceToBatchNDLayer.run(), onert::backend::cpu::ops::SpaceToDepthLayer.run(), onert::backend::cpu::ops::SplitLayer.run(), onert::backend::cpu::ops::SplitVLayer.run(), onert::backend::cpu::ops::SqDiffLayer.run(), onert::backend::cpu::ops::StatelessRandomUniformLayer.run(), onert::backend::cpu::ops::StridedSliceLayer.run(), onert::backend::cpu::ops::TileLayer.run(), onert::backend::cpu::ops::TransposeLayer.run(), onert::backend::cpu::ops::UnpackLayer.run(), onert::backend::gpu_cl::ClFunction.run(), onert::backend::ruy::ops::ConvolutionLayer.run(), onert::backend::ruy::ops::FullyConnectedLayer.run(), onert::backend::trix::ops::BulkLayer.run(), onert::backend::xnnpack::ops::ConvolutionLayer.run(), onert::backend::xnnpack::ops::DepthwiseConvolutionLayer.run(), onert::backend::xnnpack::ops::FullyConnectedLayer.run(), onert::exec::FunctionSequence.run(), onert::exec::NopFunction.run(), onert::backend::builtin::kernel::IfLayer.run(), onert::backend::builtin::kernel::PermuteLayer.run(), onert::backend::builtin::kernel::WhileLayer.run(), onert::compiler::pass::OddOutputPass.run(), onert::exec::IPermuteFunction.run(), onert::exec::HookFunction.run(), onert::compiler::pass::OperandPass.run(), onert::exec::IFunction.run(), onert::compiler::pass::IPass.run(), onert::compiler::pass::Pass.run(), mir_interpreter::AvgPool2DImpl< uint8_t >.run(), mir_interpreter::AvgPool2DImpl< T >.run(), mir_interpreter::DepthwiseConv2DImpl< T >.run(), mir_interpreter::DepthwiseConv2DImpl< uint8_t >.run(), mir_interpreter::SliceImpl< T >.run(), mir_interpreter::ELUImpl< T >.run(), mir_interpreter::LeakyReLUImpl< T >.run(), mir_interpreter::CappedReLUImpl< T >.run(), mir_interpreter::CappedReLUImpl< uint8_t >.run(), mir_interpreter::SoftmaxImpl< T >.run(), mir_interpreter::AbsImpl< T >.run(), mir_interpreter::AbsImpl< uint8_t >.run(), mir_interpreter::ReLUImpl< T >.run(), mir_interpreter::ReLUImpl< uint8_t >.run(), mir_interpreter::SigmoidImpl< T >.run(), mir_interpreter::SigmoidImpl< uint8_t >.run(), mir_interpreter::SqrtImpl< T >.run(), mir_interpreter::SqrtImpl< uint8_t >.run(), mir_interpreter::TanhImpl< T >.run(), mir_interpreter::TanhImpl< uint8_t >.run(), mir_interpreter::MaxPool2DImpl< uint8_t >.run(), mir_interpreter::TransposeImpl< T >.run(), mir_interpreter::SoftmaxImpl< uint8_t >.run(), mir_interpreter::HardSwishImpl< T >.run(), mir_interpreter::HardSwishImpl< uint8_t >.run(), mir_interpreter::MaxPool2DImpl< T >.run(), mir_interpreter::PadImpl< T >.run(), mir_interpreter::ReduceMeanImpl< T >.run(), mir_interpreter::FullyConnectedImpl< T >.run(), mir_interpreter::FullyConnectedImpl< uint8_t >.run(), Executor.run(), logo::PhaseRunner< PhaseStrategy::Saturate >.run(), logo::PhaseRunner< PhaseStrategy::Restart >.run(), luci::PhaseRunner< logo::PhaseStrategy::Saturate >.run(), luci::PhaseRunner< logo::PhaseStrategy::Restart >.run(), enco::Pass.run(), enco::AvgPoolLoweringPass.run(), enco::ConcatLoweringPass.run(), enco::ConstantFoldingPass.run(), enco::CopyLoweringPass.run(), enco::DataLayoutConversionPass.run(), enco::DeadBagEliminationPass.run(), enco::DeadObjectEliminationPass.run(), enco::BagDuplicationPass.run(), enco::DuplicatedObjectReductionPass.run(), enco::FeatureUnificationPass.run(), enco::FreeInstrEliminationPass.run(), enco::FreeOpEliminationPass.run(), enco::IdenticalObjectReductionPass.run(), enco::IndirectCopyEliminationPass.run(), enco::IntrinsicSelectionPass.run(), enco::BypassGenerationPass.run(), enco::PhaseConstructionPass.run(), VerifyFlatbuffers.run(), mpqsolver::bisection::BisectionSolver.run(), mpqsolver::pattern::PatternSolver.run(), mpqsolver::MPQSolver.run(), mir_interpreter::ConcatImpl< T >.run(), mir_interpreter::ConcatImpl< uint8_t >.run(), mir_interpreter::GatherByT< T >.run(), mir_interpreter::GatherImpl< T, IndicesT >.run(), mir_interpreter::Conv2DImpl< T >.run(), mir_interpreter::Conv2DImpl< uint8_t >.run(), mir_interpreter::DeConv2DImpl< T >.run(), mir_interpreter::AddImpl< T >.run(), mir_interpreter::AddImpl< uint8_t >.run(), mir_interpreter::DivImpl< T >.run(), mir_interpreter::DivImpl< uint8_t >.run(), mir_interpreter::EqualImpl< T >.run(), mir_interpreter::GreaterImpl< T >.run(), mir_interpreter::LessImpl< T >.run(), mir_interpreter::MaxImpl< T >.run(), mir_interpreter::MaxImpl< uint8_t >.run(), mir_interpreter::MulImpl< T >.run(), mir_interpreter::MulImpl< uint8_t >.run(), mir_interpreter::SubImpl< T >.run(), mir_interpreter::SubImpl< uint8_t >.run(), arm_compute::CLArgMinMaxLayerKernelEx.run(), arm_compute::CLBinaryLogicalOpKernel.run(), arm_compute::CLEmbeddingLookupKernel.run(), arm_compute::CLGatherExKernel.run(), arm_compute::CLGEMMMatrixAccumulateBiasesKernel.run(), arm_compute::CLHashtableLookupKernel.run(), arm_compute::CLInstanceNormalizationLayerKernelEx.run(), arm_compute::CLMemsetKernel.run(), arm_compute::CLMultiplyScaleFactorKernel.run(), arm_compute::CLNegKernel.run(), arm_compute::CLOneHotKernel.run(), arm_compute::CLPadLayerKernelEx.run(), arm_compute::CLQuantizationSymmetricKernel.run(), arm_compute::CLReduceOperationKernel.run(), arm_compute::CLScaleFactorSymm8Kernel.run(), arm_compute::NECastBoolKernel.run(), arm_compute::NEEmbeddingLookupKernel.run(), arm_compute::NEGatherKernelEx.run(), arm_compute::NEGEMMMatrixAccumulateBiasesKernel.run(), arm_compute::NEHashtableLookupKernel.run(), arm_compute::NEInstanceNormalizationLayerKernelEx.run(), arm_compute::NEMultiplyScaleFactorKernel.run(), arm_compute::NEOneHotKernel.run(), arm_compute::NEQuantizationSymmetricKernel.run(), cli::App.run(), cli::Command.run(), DecodeCommand.run(), EncodeCommand.run(), InitCommand.run(), MergeCommand.run(), cli::FunctionCommand.run(), tfkit::ConvertCommand.run(), tfkit::DecodeCommand.run(), tfkit::EncodeCommand.run(), tfkit::PackCommand.run(), tfkit::UnpackCommand.run(), exo::test::TypeShapeReadyPhase.run(), logo::RemoveDeadNodePass.run(), logo::RemoveDeadNodeWithQueryPass.run(), logo::ReorderDecodePass< loco::TensorBiasAdd >.run(), logo::ReorderDecodePass< loco::ReLU >.run(), luci::CircleTypeInferencePass.run(), exo::FoldReshapeOfConstPass.run(), exo::FoldTransposeOfConstPass.run(), exo::FuseBiasAddPass.run(), exo::FuseInstanceNormPass.run(), exo::FuseReluPass.run(), exo::FuseRsqrtPass.run(), exo::FuseSquaredDifferencePass.run(), logo::RemoveForwardNodePass.run(), logo::SimplifyDomainConversionPass.run(), luci::ConvertNCHWToNHWCPass.run(), luci::ConvertToFakeQuantizedModelPass.run(), luci::DecomposeHardSwishPass.run(), luci::DecomposeSoftmaxPass.run(), luci::ExpandBroadcastConstPass.run(), luci::FoldAddV2Pass.run(), luci::FoldCastPass.run(), luci::FoldDensifyPass.run(), luci::FoldDepthwiseConv2DPass.run(), luci::FoldDequantizePass.run(), luci::FoldFullyConnectedPass.run(), luci::FoldGatherPass.run(), luci::FoldShapePass.run(), luci::FoldSparseToDensePass.run(), luci::ForwardReshapeToUnaryOpPass.run(), luci::ForwardTransposeOpPass.run(), luci::FuseActivationFunctionPass.run(), luci::FuseAddWithFullyConnectedPass.run(), luci::FuseAddWithTConvPass.run(), luci::FuseBatchNormWithConvPass.run(), luci::FuseBatchNormWithDwConvPass.run(), luci::FuseBatchNormWithTConvPass.run(), luci::FuseBCQPass.run(), luci::FuseGeluPass.run(), luci::FuseHorizontalFullyConnectedPass.run(), luci::FuseInstanceNormPass.run(), luci::FuseMeanWithMeanPass.run(), luci::FuseMulWithConvPass.run(), luci::FuseMulWithDivPass.run(), luci::FusePreActivationBatchNormPass.run(), luci::FusePReluPass.run(), luci::FuseSliceWithTConvPass.run(), luci::FuseTransposeWithMeanPass.run(), luci::MakeBatchNormGammaPositivePass.run(), luci::PropagateQParamBackwardPass.run(), luci::PropagateQParamForwardPass.run(), luci::RemoveDuplicateConstPass.run(), luci::RemoveFakeQuantPass.run(), luci::RemoveQuantDequantSeqPass.run(), luci::RemoveRedundantDequantizePass.run(), luci::RemoveRedundantQuantizePass.run(), luci::RemoveRedundantReshapePass.run(), luci::RemoveRedundantTransposePass.run(), luci::RemoveUnnecessaryAddPass.run(), luci::RemoveUnnecessaryReshapeNetPass.run(), luci::RemoveUnnecessaryReshapePass.run(), luci::RemoveUnnecessarySlicePass.run(), luci::RemoveUnnecessarySplitPass.run(), luci::RemoveUnnecessaryStridedSlicePass.run(), luci::RemoveUnnecessaryTransposeNetPass.run(), luci::ReplaceMulAddWithDepthwiseConvPass.run(), luci::ReplaceNonConstFCWithBatchMatMulPass.run(), luci::ReplaceSubWithAddPass.run(), luci::ReplaceWithFCGeluFCPass.run(), luci::ResolveCustomOpAddPass.run(), luci::ResolveCustomOpBatchMatMulPass.run(), luci::ResolveCustomOpMatMulPass.run(), luci::ResolveCustomOpMaxPoolWithArgmaxPass.run(), luci::ResolveCustomOpSplitVPass.run(), luci::ResolveFormerCustomOpPass.run(), luci::ShuffleWeightTo16x1Float32Pass.run(), luci::SparsifyTensorPass.run(), luci::SubstitutePackToReshapePass.run(), luci::SubstitutePadV2ToPadPass.run(), luci::SubstituteSplitVToSplitPass.run(), luci::SubstituteSqueezeToReshapePass.run(), luci::SubstituteStridedSliceToReshapePass.run(), luci::SubstituteTransposeToReshapePass.run(), luci::TransformMinMaxToRelu6Pass.run(), luci::TransformMinReluToRelu6Pass.run(), luci::UnrollUnidirectionalSequenceLSTMPass.run(), luci::XpSepActFromTransposeConvPass.run(), moco::RemoveTFIdentityNode.run(), exo::CanonicalNodeConverter< loco::EltwiseSub >.run(), exo::CanonicalNodeConverter< loco::Conv2D >.run(), exo::CanonicalNodeConverter< loco::ConstGen >.run(), exo::CanonicalNodeConverter< loco::MatMul >.run(), exo::CanonicalNodeConverter< loco::EltwiseMul >.run(), exo::CanonicalNodeConverter< loco::TensorReduce >.run(), exo::CanonicalNodeConverter< loco::EltwiseMax >.run(), exo::CanonicalNodeConverter< loco::ReLU6 >.run(), exo::CanonicalNodeConverter< loco::DepthwiseConv2D >.run(), exo::CanonicalNodeConverter< CanonicalType >.run(), exo::CanonicalNodeConverter< loco::TransposedConv2D >.run(), exo::CanonicalNodeConverter< loco::MaxPool2D >.run(), exo::CanonicalNodeConverter< loco::TensorTranspose >.run(), exo::CanonicalNodeConverter< loco::FeatureBiasAdd >.run(), exo::CanonicalNodeConverter< loco::ReLU >.run(), exo::CanonicalNodeConverter< loco::EltwiseDiv >.run(), exo::CanonicalNodeConverter< loco::TensorConcat >.run(), exo::CanonicalNodeConverter< loco::EltwiseAdd >.run(), exo::CanonicalNodeConverter< loco::AvgPool2D >.run(), exo::CanonicalNodeConverter< loco::EltwiseSqrt >.run(), exo::TensorBroadcastConverter.run(), exo::MergeConcatNodesPass.run(), exo::ShapeInferencePass.run(), exo::TypeInferencePass.run(), luci::CircleShapeInferencePass.run(), luci::CommonSubExpressionEliminationPass.run(), luci::CopyQuantParamPass.run(), luci::DynamicBatchToSingleBatchPass.run(), luci::ForceQuantParamPass.run(), luci::QuantizeDequantizeWeightsPass.run(), luci::QuantizeWeightsPass.run(), luci::QuantizeWithMinMaxPass.run(), luci::RequantizePass.run(), luci::QuantizePreCheckerPass.run(), moco::tf::SimpleNodeTransform< ConcreteNode >.run(), moco::tf::SimpleNodeTransform< moco::TFRealDiv >.run(), moco::tf::SimpleNodeTransform< moco::TFSub >.run(), moco::tf::SimpleNodeTransform< moco::TFRelu >.run(), moco::tf::SimpleNodeTransform<::moco::TFPlaceholder >.run(), moco::tf::SimpleNodeTransform< moco::TFMul >.run(), moco::tf::SimpleNodeTransform< moco::TFRsqrt >.run(), moco::tf::SimpleNodeTransform< moco::TFDepthwiseConv2dNative >.run(), moco::tf::SimpleNodeTransform< moco::TFConst >.run(), moco::tf::SimpleNodeTransform< moco::TFStopGradient >.run(), moco::tf::SimpleNodeTransform< moco::TFSqueeze >.run(), moco::tf::SimpleNodeTransform< moco::TFAvgPool >.run(), moco::tf::SimpleNodeTransform< moco::TFMaxPool >.run(), moco::tf::SimpleNodeTransform< moco::TFConv2DBackpropInput >.run(), moco::tf::SimpleNodeTransform< moco::TFSoftmax >.run(), moco::tf::SimpleNodeTransform< moco::TFPad >.run(), moco::tf::SimpleNodeTransform< TFAdd >.run(), moco::tf::SimpleNodeTransform< moco::TFTanh >.run(), moco::tf::SimpleNodeTransform< moco::TFReshape >.run(), moco::tf::SimpleNodeTransform< moco::TFIdentity >.run(), moco::tf::SimpleNodeTransform< TFConv2D >.run(), moco::tf::SimpleNodeTransform< moco::TFSqrt >.run(), moco::tf::SimpleNodeTransform< moco::TFConcatV2 >.run(), moco::tf::SimpleNodeTransform< moco::TFMaximum >.run(), moco::tf::SimpleNodeTransform< moco::TFPush >.run(), moco::tf::SimpleNodeTransform< moco::TFMean >.run(), moco::tf::SimpleNodeTransform< moco::TFRelu6 >.run(), moco::tf::SimpleNodeTransform< moco::TFBiasAdd >.run(), logo::ConstantFoldingPass.run(), logo::ResolveDuplicateReshapePass.run(), logo::ResolveRedundantReshapePass.run(), moco::tf::ShapeInferencePass.run(), moco::tf::TypeInferencePass.run(), moco::ConstantFoldAdd.run(), moco::ConstantFoldMul.run(), moco::ConstantFoldPack.run(), moco::ConstantFoldStridedSlice.run(), moco::FuseBinaryIntoPreceding.run(), moco::ResolveConstantShape.run(), moco::ResolveFusedBatchNorm.run(), moco::ResolveReshapeWildcardDim.run(), moco::ResolveSquaredDifference.run(), moco::SqueezeReduceNode.run(), logo::Pass.run(), locomotiv::NodeExecution.run(), luci::Pass.run(), luci::CircleShapeInferencePass.run(), luci::CircleTypeInferencePass.run(), luci::FuseBCQPass.run(), nnc::InterpreterBackend.run(), nnc::AclCppCodeGenerator.run(), nnc::CPPCodeGenerator.run(), mir_interpreter::FillImpl< T >.run(), ShowAction.run(), nnc::DumperPass.run(), nnc::CombineTransposes.run(), nnc::ConstantFoldTranspose.run(), nnc::DeadCodeElimination.run(), nnc::FuseArithmeticOps.run(), nnc::SinkRelu.run(), nnc::SinkTranspose.run(), nnc::DataFormatSwitcher.run(), nnc::LowerConv2D.run(), DummyPass1.run(), DummyPass2.run(), nnc::Pass.run(), Command.Command.run(), validate_onnx2circle.OnnxRunner.run(), test_utils.TestRunner.run(), QErrorComputer.QErrorComputer.run(), QErrorComputer.MPEIRComputer.run(), QErrorComputer.MSEComputer.run(), QErrorComputer.TAEComputer.run(), QErrorComputer.SRMSEComputer.run(), CfgRunner.CfgRunner.run(), WorkflowRunner.WorkflowRunner.run(), circleinspect::DumpOperators.run(), circleinspect::DumpConv2DWeight.run(), circleinspect::DumpOperatorVersion.run(), circleinspect::DumpTensorDType.run(), circleinspect::DumpConstants.run(), circleinspect::DumpInterface.run(), cirops::DumpOperators.run(), circletensordump::DumpTensors.run(), circletensordump::DumpTensorsToHdf5.run(), circletensordump::DumpInterface.run(), tflinspect::DumpOperators.run(), tflinspect::DumpConv2DWeight.run(), tflinspect::DumpOperatorVersion.run(), tflinspect::DumpInterface.run(), RandomizeAction.run(), HD5ExportAction.run(), HD5ImportAction.run(), nnkit::Action.run(), moco::tf::test::TFNodeBuildTester.run(), moco::test::TFNodeBuildTester.run(), TfLiteInterpMatchApp.run(), nnfw::tflite::RandomInputInitializer.run(), prunner::PModelsRunner.run(), nnkit::support::onnx::Runner.run(), npud::core::Server.run(), nnkit::support::caffe::Backend< DType >.run(), nnkit::support::moco::tf::Backend.run(), nnkit::support::onnx::Backend.run(), nnkit::support::tf::Backend.run(), nnkit::support::tflite::AbstractBackend.run(), arm_compute::CLFullyConnectedReshapingLayer.run(), arm_compute::NEFullyConnectedReshapingLayer.run(), nnfw::tflite::InterpreterSession.run(), nnkit::Backend.run(), and nnfw::tflite::Session.run().

    @@ -268,7 +268,7 @@

    59
    uint64_t num_elems(const nnfw_tensorinfo *tensor_info)
    Get the total number of elements in nnfw_tensorinfo->dims.
    -

    References NNFW_SESSION.input_tensorinfo(), nnfw_session.input_tensorinfo(), Operation.inputs, Request.inputs, circlechef::CircleImport.inputs(), crew::Part.inputs, luci::CircleReader.inputs(), luci::PGroup.inputs, luci::pass::Expression.inputs, mio::circle::Reader.inputs(), moco::ModelSignature.inputs(), nnc::sir::CallFunction.inputs, validate_onnx2circle.OnnxRunner.inputs, tflinspect::Reader.inputs(), tflchef::TFliteImport.inputs(), tflread::Reader.inputs(), luci_interpreter::CircleReader.inputs(), onert_micro::core::reader::OMCircleReader.inputs(), moco::tf::test::TFNodeBuildTester.inputs(), moco::test::TFNodeBuildTester.inputs(), moco::test::TFNodeBuildTester.inputs(), luci::CircleFakeQuant.inputs(), moco::TFFakeQuantWithMinMaxVars.inputs(), luci::CircleAddN.inputs(), luci::CircleCustom.inputs(), luci::CircleAddN.inputs(), luci::CircleCustom.inputs(), loco::Graph.inputs(), nnkit::support::onnx::Runner.inputs(), ann::Operation.inputs(), loco::Graph.inputs(), luci::CircleFakeQuant.inputs(), moco::TFFakeQuantWithMinMaxVars.inputs(), OperationFactory::Param.inputs, nnfw_custom_kernel_params.inputs, package.libnnfw_api_pybind.nnfw_session_wrapper.inputs, onert::exec::IODescription.inputs, package.libnnfw_api_pybind.num_elems(), nnfw_session.set_input(), NNFW_SESSION.set_input(), and locomotiv::Session.set_input().

    +

    References NNFW_SESSION.input_tensorinfo(), nnfw_session.input_tensorinfo(), Operation.inputs, Request.inputs, circlechef::CircleImport.inputs(), crew::Part.inputs, luci::CircleReader.inputs(), luci::PGroup.inputs, luci::pass::Expression.inputs, mio::circle::Reader.inputs(), moco::ModelSignature.inputs(), nnc::sir::CallFunction.inputs, validate_onnx2circle.OnnxRunner.inputs, tflinspect::Reader.inputs(), tflchef::TFliteImport.inputs(), tflread::Reader.inputs(), luci_interpreter::CircleReader.inputs(), onert_micro::core::reader::OMCircleReader.inputs(), moco::tf::test::TFNodeBuildTester.inputs(), moco::test::TFNodeBuildTester.inputs(), moco::test::TFNodeBuildTester.inputs(), luci::CircleFakeQuant.inputs(), moco::TFFakeQuantWithMinMaxVars.inputs(), luci::CircleAddN.inputs(), luci::CircleCustom.inputs(), luci::CircleAddN.inputs(), luci::CircleCustom.inputs(), loco::Graph.inputs(), nnkit::support::onnx::Runner.inputs(), ann::Operation.inputs(), loco::Graph.inputs(), luci::CircleFakeQuant.inputs(), moco::TFFakeQuantWithMinMaxVars.inputs(), OperationFactory::Param.inputs, nnfw_custom_kernel_params.inputs, package.libnnfw_api_pybind.nnfw_session_wrapper.inputs, onert::exec::IODescription.inputs, package.libnnfw_api_pybind.num_elems(), nnfw_session.set_input(), NNFW_SESSION.set_input(), and locomotiv::Session.set_input().

    @@ -312,7 +312,7 @@

    70 self.outputs.append(output_array)
    71
    -

    References package.libnnfw_api_pybind.num_elems(), NNFW_SESSION.output_tensorinfo(), nnfw_session.output_tensorinfo(), Operation.outputs, Request.outputs, circlechef::CircleImport.outputs(), crew::Part.outputs, luci::CircleReader.outputs(), mio::circle::Reader.outputs(), moco::ModelSignature.outputs(), tflinspect::Reader.outputs(), tflchef::TFliteImport.outputs(), tflread::Reader.outputs(), luci_interpreter::CircleReader.outputs(), onert_micro::core::reader::OMCircleReader.outputs(), mio::circle::Reader.outputs(), loco::Graph.outputs(), nnkit::support::onnx::Runner.outputs(), ann::Operation.outputs(), loco::Graph.outputs(), luci::PGroup.outputs, nnc::sir::CallFunction.outputs, validate_onnx2circle.OnnxRunner.outputs, OperationFactory::Param.outputs, nnfw_custom_kernel_params.outputs, package.libnnfw_api_pybind.nnfw_session_wrapper.outputs, onert::exec::IODescription.outputs, nnfw_session.set_output(), and NNFW_SESSION.set_output().

    +

    References package.libnnfw_api_pybind.num_elems(), NNFW_SESSION.output_tensorinfo(), nnfw_session.output_tensorinfo(), Operation.outputs, Request.outputs, circlechef::CircleImport.outputs(), crew::Part.outputs, luci::CircleReader.outputs(), mio::circle::Reader.outputs(), moco::ModelSignature.outputs(), tflinspect::Reader.outputs(), tflchef::TFliteImport.outputs(), tflread::Reader.outputs(), luci_interpreter::CircleReader.outputs(), onert_micro::core::reader::OMCircleReader.outputs(), mio::circle::Reader.outputs(), loco::Graph.outputs(), nnkit::support::onnx::Runner.outputs(), ann::Operation.outputs(), loco::Graph.outputs(), luci::PGroup.outputs, nnc::sir::CallFunction.outputs, validate_onnx2circle.OnnxRunner.outputs, OperationFactory::Param.outputs, nnfw_custom_kernel_params.outputs, package.libnnfw_api_pybind.nnfw_session_wrapper.outputs, onert::exec::IODescription.outputs, nnfw_session.set_output(), and NNFW_SESSION.set_output().

    diff --git a/classprunner_1_1_p_models_runner.html b/classprunner_1_1_p_models_runner.html index d07d64f222b..efd2026e6af 100644 --- a/classprunner_1_1_p_models_runner.html +++ b/classprunner_1_1_p_models_runner.html @@ -178,7 +178,7 @@

    References crew::PConfig::parts, and crew::read_ini().

    -

    Referenced by entry().

    +

    Referenced by entry().

    @@ -236,7 +236,7 @@

    References INFO, crew::Part::inputs, LOGGER, and crew::PConfig::source.

    -

    Referenced by entry().

    +

    Referenced by entry().

    @@ -344,7 +344,7 @@

    References INFO, loco::input_nodes(), LOGGER, luci::CircleNode::name(), and loco::output_nodes().

    -

    Referenced by entry(), and package.libnnfw_api_pybind.nnfw_session_wrapper::inference().

    +

    Referenced by entry(), and package.libnnfw_api_pybind.nnfw_session_wrapper::inference().

    @@ -395,7 +395,7 @@

    References INFO, LOGGER, crew::Part::model_file, luci::CircleNode::name(), loco::output_nodes(), and crew::PConfig::source.

    -

    Referenced by entry().

    +

    Referenced by entry().

    diff --git a/classq__implant_1_1_q_implant.html b/classq__implant_1_1_q_implant.html index 1083ae715e4..c38dfa57ac8 100644 --- a/classq__implant_1_1_q_implant.html +++ b/classq__implant_1_1_q_implant.html @@ -251,7 +251,7 @@

    References loco::active_nodes(), loco::all_nodes(), loco::output_nodes(), and THROW_UNLESS.

    -

    Referenced by entry().

    +

    Referenced by entry().

    diff --git a/classrecord__minmax_1_1_record_min_max.html b/classrecord__minmax_1_1_record_min_max.html index 5c294cd954c..d509dc1e98a 100644 --- a/classrecord__minmax_1_1_record_min_max.html +++ b/classrecord__minmax_1_1_record_min_max.html @@ -263,7 +263,7 @@

    References luci::Importer::importModule().

    -

    Referenced by entry().

    +

    Referenced by entry().

    @@ -362,7 +362,7 @@

    References dio::hdf5::HDF5Importer::importGroup(), luci::CircleInput::index(), loco::input_nodes(), luci_interpreter::Interpreter::interpret(), dio::hdf5::HDF5Importer::isRawData(), dio::hdf5::HDF5Importer::numData(), dio::hdf5::HDF5Importer::numInputs(), dio::hdf5::HDF5Importer::readTensor(), and luci_interpreter::Interpreter::writeInputTensor().

    -

    Referenced by entry().

    +

    Referenced by entry().

    @@ -475,7 +475,7 @@

    References record_minmax::MinMaxMap::appendMinMaxVector(), record_minmax::MinMaxMap::getMap(), INFO, loco::input_nodes(), and LOGGER.

    -

    Referenced by entry().

    +

    Referenced by entry().

    @@ -569,7 +569,7 @@

    References luci::CircleInput::index(), loco::input_nodes(), luci_interpreter::Interpreter::interpret(), and luci_interpreter::Interpreter::writeInputTensor().

    -

    Referenced by entry().

    +

    Referenced by entry().

    @@ -683,7 +683,7 @@

    References loco::input_nodes(), luci_interpreter::Interpreter::interpret(), offset(), and luci_interpreter::Interpreter::writeInputTensor().

    -

    Referenced by entry().

    +

    Referenced by entry().

    @@ -705,7 +705,7 @@

    Definition at line 235 of file RecordMinMax.cpp.

    236{
    -
    237 struct dirent *entry = nullptr;
    +
    237 struct dirent *entry = nullptr;
    238 DIR *dp = nullptr;
    239
    240 dp = opendir(input_data_path.c_str());
    @@ -725,13 +725,13 @@

    254 total_input_size += getTensorSize(input_node);

    255 }
    256
    -
    257 while ((entry = readdir(dp)))
    +
    257 while ((entry = readdir(dp)))
    258 {
    259 // Skip if the entry is not a regular file
    -
    260 if (entry->d_type != DT_REG)
    +
    260 if (entry->d_type != DT_REG)
    261 continue;
    262
    -
    263 const std::string filename = entry->d_name;
    +
    263 const std::string filename = entry->d_name;
    264 std::cout << "Recording " << num_records << "'th data" << std::endl;
    265
    266 // Read data from file to buffer
    @@ -765,12 +765,12 @@

    294
    295 _minmax_computer->update_qparam(getObserver()->minMaxData()->getMap());
    296}
    -
    int entry(const int argc, char **argv)
    Definition Driver.cpp:53
    +
    int entry(const int argc, char **argv)
    Definition Driver.cpp:53
    -

    References entry(), loco::input_nodes(), luci_interpreter::Interpreter::interpret(), offset(), and luci_interpreter::Interpreter::writeInputTensor().

    +

    References entry(), loco::input_nodes(), luci_interpreter::Interpreter::interpret(), offset(), and luci_interpreter::Interpreter::writeInputTensor().

    -

    Referenced by entry().

    +

    Referenced by entry().

    @@ -808,7 +808,7 @@

    References luci::CircleExporter::invoke().

    -

    Referenced by entry().

    +

    Referenced by entry().

    diff --git a/classsouschef_1_1_registry.html b/classsouschef_1_1_registry.html index f74878e3275..f63e4b1a038 100644 --- a/classsouschef_1_1_registry.html +++ b/classsouschef_1_1_registry.html @@ -99,7 +99,7 @@

    Public Member Functions

     BackendPlugin (void *handle, Entry entry)
     BackendPlugin (void *handle, Entry entry)
     
     BackendPlugin (const BackendPlugin &)=delete
     
    - + @@ -147,11 +147,11 @@

    Definition at line 30 of file Registry.h.

    31 {
    -
    32 _content[name] = std::move(entry);
    +
    32 _content[name] = std::move(entry);
    33 }
    -
    int entry(const int argc, char **argv)
    Definition Driver.cpp:53
    +
    int entry(const int argc, char **argv)
    Definition Driver.cpp:53
    -

    References entry().

    +

    References entry().

    diff --git a/classtflchef_1_1_t_flite_op_leaky_relu.html b/classtflchef_1_1_t_flite_op_leaky_relu.html index 0bd2b45a3af..2af5cd9dc63 100644 --- a/classtflchef_1_1_t_flite_op_leaky_relu.html +++ b/classtflchef_1_1_t_flite_op_leaky_relu.html @@ -151,7 +151,7 @@

    tflchef::TFliteOpChef.

    -

    Definition at line 30 of file LeakyRelu.cpp.

    +

    Definition at line 30 of file LeakyRelu.cpp.

    31{
    32 tflchef::Operation *operation = ctx->chefop;
    33 const tflite::Operator *op = ctx->tflop;
    @@ -213,7 +213,7 @@

    tflchef::TFliteOpChef.

    -

    Definition at line 24 of file LeakyRelu.cpp.

    +

    Definition at line 24 of file LeakyRelu.cpp.

    26{
    27 // Nothing to do with filler
    28}
    @@ -222,7 +222,7 @@

    LeakyRelu.h -
  • compiler/tflchef/tflite/src/Op/LeakyRelu.cpp
  • +
  • compiler/tflchef/tflite/src/Op/LeakyRelu.cpp
  • diff --git a/classtflimport_1_1_concatenation_graph_builder.html b/classtflimport_1_1_concatenation_graph_builder.html index 8da886d12a6..0e7f401de2c 100644 --- a/classtflimport_1_1_concatenation_graph_builder.html +++ b/classtflimport_1_1_concatenation_graph_builder.html @@ -332,7 +332,7 @@

    coco::Bag * bag(void) const
    Definition Object.h:74
    loco::FeatureShape as_feature_shape(const loco::NodeShape &nodeshape, const TFDataLayout &data_layout)
    -
    Dims< uint32_t > as_dims(const nncc::core::ADT::tensor::Shape &)
    Definition dims.cpp:24
    +
    Dims< uint32_t > as_dims(const nncc::core::ADT::tensor::Shape &)
    Definition dims.cpp:24
    uint32_t num_elements(const Shape &shape)
    The number of elements of a feature map of a given shape.
    Definition Shape.h:59
    std::vector< int32_t > IndexVector
    Definition Convert.h:29
    IndexVector as_index_vector(const flatbuffers::Vector< int32_t > *array)
    Converts flatbuffers::Vector to IndexVector.
    Definition Convert.cpp:28
    diff --git a/cmsisnn_2_p_a_lreference__ops_8h_source.html b/cmsisnn_2_p_a_lreference__ops_8h_source.html index 29b7111597d..7c429df4ebe 100644 --- a/cmsisnn_2_p_a_lreference__ops_8h_source.html +++ b/cmsisnn_2_p_a_lreference__ops_8h_source.html @@ -211,7 +211,7 @@
    109inline void Relu(const RuntimeShape &input_shape, const T *input_data,
    110 const RuntimeShape &output_shape, T *output_data)
    111{
    -
    112 const int flat_size = MatchingFlatSize(input_shape, output_shape);
    +
    112 const int flat_size = MatchingFlatSize(input_shape, output_shape);
    113 for (int i = 0; i < flat_size; ++i)
    114 {
    115 const T val = input_data[i];
    @@ -228,7 +228,7 @@
    124 const RuntimeShape &output_shape, T *output_data)
    125{
    126 ruy::profiler::ScopeLabel label("Relu1 (not fused)");
    -
    127 const int flat_size = MatchingFlatSize(input_shape, output_shape);
    +
    127 const int flat_size = MatchingFlatSize(input_shape, output_shape);
    128 for (int i = 0; i < flat_size; ++i)
    129 {
    130 const T val = input_data[i];
    @@ -245,7 +245,7 @@
    139 const RuntimeShape &output_shape, float *output_data)
    140{
    141 ruy::profiler::ScopeLabel label("Relu6 (not fused)");
    -
    142 const int flat_size = MatchingFlatSize(input_shape, output_shape);
    +
    142 const int flat_size = MatchingFlatSize(input_shape, output_shape);
    143 for (int i = 0; i < flat_size; ++i)
    144 {
    145 const float val = input_data[i];
    @@ -263,7 +263,7 @@
    155 const T *input_data, const RuntimeShape &output_shape, T *output_data)
    156{
    157 ruy::profiler::ScopeLabel label("Quantized ReluX (not fused)");
    -
    158 const int flat_size = MatchingFlatSize(input_shape, output_shape);
    +
    158 const int flat_size = MatchingFlatSize(input_shape, output_shape);
    159 for (int i = 0; i < flat_size; ++i)
    160 {
    161 const int32 val = static_cast<int32_t>(input_data[i]);
    @@ -283,7 +283,7 @@
    173 const T *input_data, const RuntimeShape &output_shape, T *output_data)
    174{
    175 ruy::profiler::ScopeLabel label("Quantized ReluX (not fused)");
    -
    176 const int flat_size = MatchingFlatSize(input_shape, output_shape);
    +
    176 const int flat_size = MatchingFlatSize(input_shape, output_shape);
    177 const T max_value = params.quantized_activation_max;
    178 const T min_value = params.quantized_activation_min;
    179 for (int i = 0; i < flat_size; ++i)
    @@ -680,22 +680,22 @@
    552 const float input_gate =
    553 1.f /
    554 (1.f +
    -
    555 std::exp(-activ_temp_data[Offset(activ_temp_shape, b, h, w, 0 * output_depth + c)]));
    +
    555 std::exp(-activ_temp_data[Offset(activ_temp_shape, b, h, w, 0 * output_depth + c)]));
    556 const float new_input =
    -
    557 std::tanh(activ_temp_data[Offset(activ_temp_shape, b, h, w, 1 * output_depth + c)]);
    +
    557 std::tanh(activ_temp_data[Offset(activ_temp_shape, b, h, w, 1 * output_depth + c)]);
    558 const float forget_gate =
    559 1.f /
    560 (1.f +
    -
    561 std::exp(-activ_temp_data[Offset(activ_temp_shape, b, h, w, 2 * output_depth + c)]));
    +
    561 std::exp(-activ_temp_data[Offset(activ_temp_shape, b, h, w, 2 * output_depth + c)]));
    562 const float output_gate =
    563 1.f /
    564 (1.f +
    -
    565 std::exp(-activ_temp_data[Offset(activ_temp_shape, b, h, w, 3 * output_depth + c)]));
    +
    565 std::exp(-activ_temp_data[Offset(activ_temp_shape, b, h, w, 3 * output_depth + c)]));
    566 const float new_state =
    567 input_gate * new_input +
    -
    568 forget_gate * prev_state_data[Offset(prev_state_shape, b, h, w, c)];
    -
    569 output_state_data[Offset(output_state_shape, b, h, w, c)] = new_state;
    -
    570 output_activ_data[Offset(output_activ_shape, b, h, w, c)] =
    +
    568 forget_gate * prev_state_data[Offset(prev_state_shape, b, h, w, c)];
    +
    569 output_state_data[Offset(output_state_shape, b, h, w, c)] = new_state;
    +
    570 output_activ_data[Offset(output_activ_shape, b, h, w, c)] =
    571 output_gate * std::tanh(new_state);
    572 }
    573 }
    @@ -1051,7 +1051,7 @@
    913inline void Dequantize(const RuntimeShape &input_shape, const Eigen::half *input_data,
    914 const RuntimeShape &output_shape, float *output_data)
    915{
    -
    916 const int flat_size = MatchingFlatSize(input_shape, output_shape);
    +
    916 const int flat_size = MatchingFlatSize(input_shape, output_shape);
    917 for (int i = 0; i < flat_size; i++)
    918 {
    919 output_data[i] = static_cast<float>(input_data[i]);
    @@ -1078,7 +1078,7 @@
    938 int quant_max = (1 << num_bits) - 1;
    939 float nudged_min, nudged_max, nudged_scale;
    940 NudgeQuantizationRange(rmin, rmax, quant_min, quant_max, &nudged_min, &nudged_max, &nudged_scale);
    -
    941 const int flat_size = MatchingFlatSize(input_shape, output_shape);
    +
    941 const int flat_size = MatchingFlatSize(input_shape, output_shape);
    942 FakeQuantizeArray(nudged_scale, nudged_min, nudged_max, input_data, output_data, flat_size);
    943}
    @@ -1257,7 +1257,7 @@
    1105 {
    1106 for (int i4 = start[4]; i4 < stop[4]; ++i4)
    1107 {
    -
    1108 writer->Write(Offset(ext_shape, i0, i1, i2, i3, i4));
    +
    1108 writer->Write(Offset(ext_shape, i0, i1, i2, i3, i4));
    1109 }
    1110 }
    1111 }
    @@ -1291,7 +1291,7 @@
    1133void Minimum(const RuntimeShape &input1_shape, const T *input1_data, const T *input2_data,
    1134 const RuntimeShape &output_shape, T *output_data)
    1135{
    -
    1136 const int flat_size = MatchingFlatSize(input1_shape, output_shape);
    +
    1136 const int flat_size = MatchingFlatSize(input1_shape, output_shape);
    1137
    1138 auto min_value = input2_data[0];
    1139 for (int i = 0; i < flat_size; i++)
    @@ -1318,7 +1318,7 @@
    1156void Maximum(const RuntimeShape &input1_shape, const T *input1_data, const T *input2_data,
    1157 const RuntimeShape &output_shape, T *output_data)
    1158{
    -
    1159 const int flat_size = MatchingFlatSize(input1_shape, output_shape);
    +
    1159 const int flat_size = MatchingFlatSize(input1_shape, output_shape);
    1160
    1161 auto max_value = input2_data[0];
    1162 for (int i = 0; i < flat_size; i++)
    @@ -1379,7 +1379,7 @@
    1209 }
    1210 else
    1211 {
    -
    1212 flatsize = MatchingFlatSize(input_condition_shape, input_x_shape, input_y_shape, output_shape);
    +
    1212 flatsize = MatchingFlatSize(input_condition_shape, input_x_shape, input_y_shape, output_shape);
    1213 }
    1214 for (int64_t i = 0; i < flatsize; ++i)
    1215 {
    @@ -1399,7 +1399,7 @@
    1227 int64_t inner_size;
    1228 if (input_condition_shape.DimensionsCount() == 0)
    1229 {
    -
    1230 inner_size = MatchingFlatSize(input_x_shape, input_y_shape, output_shape);
    +
    1230 inner_size = MatchingFlatSize(input_x_shape, input_y_shape, output_shape);
    1231 }
    1232 else
    1233 {
    @@ -1459,7 +1459,7 @@
    1285 const int condition_index = SubscriptToIndex(desc_condition, b, y, x, c);
    1286 const int x_index = SubscriptToIndex(desc_x, b, y, x, c);
    1287 const int y_index = SubscriptToIndex(desc_y, b, y, x, c);
    -
    1288 output_data[Offset(extended_output_shape, b, y, x, c)] =
    +
    1288 output_data[Offset(extended_output_shape, b, y, x, c)] =
    1289 input_condition_data[condition_index] ? input_x_data[x_index] : input_y_data[y_index];
    1290 }
    1291 }
    @@ -1535,7 +1535,7 @@
    1357 const std::vector<TI> &index = indices[i];
    1358 TFLITE_DCHECK_EQ(index.size(), 4);
    1359 const T value = *values; // just use the first value.
    -
    1360 output_data[Offset(output_shape, index[0], index[1], index[2], index[3])] = value;
    +
    1360 output_data[Offset(output_shape, index[0], index[1], index[2], index[3])] = value;
    1361 }
    1362 return;
    1363 }
    @@ -1546,7 +1546,7 @@
    1368 const std::vector<TI> &index = indices[i];
    1369 TFLITE_DCHECK_EQ(index.size(), 4);
    1370 const T value = values[i];
    -
    1371 output_data[Offset(output_shape, index[0], index[1], index[2], index[3])] = value;
    +
    1371 output_data[Offset(output_shape, index[0], index[1], index[2], index[3])] = value;
    1372 }
    1373}
    @@ -1557,7 +1557,7 @@
    1377 const RuntimeShape &input2_shape, const T *input2_data,
    1378 const RuntimeShape &output_shape, T *output_data)
    1379{
    -
    1380 const int flat_size = MatchingFlatSize(input1_shape, input2_shape, output_shape);
    +
    1380 const int flat_size = MatchingFlatSize(input1_shape, input2_shape, output_shape);
    1381 for (int i = 0; i < flat_size; ++i)
    1382 {
    1383 output_data[i] = std::pow(input1_data[i], input2_data[i]);
    @@ -1589,7 +1589,7 @@
    1407 {
    1408 for (int c = 0; c < output_shape.Dims(3); ++c)
    1409 {
    -
    1410 auto out_idx = Offset(output_shape, b, y, x, c);
    +
    1410 auto out_idx = Offset(output_shape, b, y, x, c);
    1411 auto in1_idx = SubscriptToIndex(desc1, b, y, x, c);
    1412 auto in2_idx = SubscriptToIndex(desc2, b, y, x, c);
    1413 auto in1_val = input1_data[in1_idx];
    @@ -1765,10 +1765,10 @@
    NdArrayDesc< 4 > desc1
    const luci_interpreter::RuntimeShape output_shape
    NdArrayDesc< 4 > desc2
    -
    int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
    Definition Dims.h:64
    -
    int MatchingFlatSize(const Dims< N > &dims, const Dims< N > &check_dims_0)
    Definition Dims.h:108
    std::uint8_t uint8
    Definition Macro.h:52
    std::int16_t int16
    Definition Macro.h:53
    +
    int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
    Definition Dims.h:64
    +
    int MatchingFlatSize(const Dims< N > &dims, const Dims< N > &check_dims_0)
    Definition Dims.h:108
    __global uchar * offset(const Image *img, int x, int y)
    Definition helpers.h:540
    void GatherNd(const RuntimeShape &params_shape, const ParamsT *params_data, const RuntimeShape &indices_shape, const IndicesT *indices_data, const RuntimeShape &output_shape, ParamsT *output_data)
    void LocalResponseNormalization(const tflite::LocalResponseNormalizationParams &op_params, const RuntimeShape &input_shape, const float *input_data, const RuntimeShape &output_shape, float *output_data)
    diff --git a/compiler_2ann-ref_2src_2assert_8h.html b/compiler_2ann-ref_2src_2_assert_8h.html similarity index 94% rename from compiler_2ann-ref_2src_2assert_8h.html rename to compiler_2ann-ref_2src_2_assert_8h.html index cb474f8c1a2..022267a2b53 100644 --- a/compiler_2ann-ref_2src_2assert_8h.html +++ b/compiler_2ann-ref_2src_2_assert_8h.html @@ -63,7 +63,7 @@

    Public Member Functions

    void add (const std::string &name, std::unique_ptr< T > &&entry)
    void add (const std::string &name, std::unique_ptr< T > &&entry)
     
    const T & lookup (const std::string &name) const
     
    - +

    Macros

    #define ASSERT(v)
    #define ASSERT(v)
     

    Macro Definition Documentation

    @@ -128,7 +128,7 @@

    } \
    } while (0)
    -

    Definition at line 24 of file Assert.h.

    +

    Definition at line 24 of file Assert.h.

    26 { \
    27 if (!(v)) \
    28 { \
    @@ -144,7 +144,7 @@

    diff --git a/compiler_2ann-ref_2src_2_assert_8h.js b/compiler_2ann-ref_2src_2_assert_8h.js new file mode 100644 index 00000000000..6b696e2c0c3 --- /dev/null +++ b/compiler_2ann-ref_2src_2_assert_8h.js @@ -0,0 +1,4 @@ +var compiler_2ann_ref_2src_2_assert_8h = +[ + [ "ASSERT", "compiler_2ann-ref_2src_2_assert_8h.html#a21487c386581c0c8aa19f587b8c97c0f", null ] +]; \ No newline at end of file diff --git a/compiler_2ann-ref_2src_2assert_8h_source.html b/compiler_2ann-ref_2src_2_assert_8h_source.html similarity index 94% rename from compiler_2ann-ref_2src_2assert_8h_source.html rename to compiler_2ann-ref_2src_2_assert_8h_source.html index 3e189328824..803b2463a22 100644 --- a/compiler_2ann-ref_2src_2assert_8h_source.html +++ b/compiler_2ann-ref_2src_2_assert_8h_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Assert.h
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
    3 * Copyright (C) 2017 The Android Open Source Project
    4 *
    @@ -121,7 +121,7 @@
    22
    23// Assert macro, as Android does not generally support assert.
    diff --git a/compiler_2ann-ref_2src_2_shape_8h.html b/compiler_2ann-ref_2src_2_shape_8h.html index 901445e1743..ab119d4daad 100644 --- a/compiler_2ann-ref_2src_2_shape_8h.html +++ b/compiler_2ann-ref_2src_2_shape_8h.html @@ -216,7 +216,7 @@

    References Shape::dimensions, and getSizeOfDimension().

    -

    Referenced by addPrepare(), concatenationPrepare(), convertShapeToDims(), convPrepare(), depthwiseConvPrepare(), divPrepare(), fullyConnectedPrepare(), genericPoolingPrepare(), onert::backend::cpu::ops::getSizeOfDimension(), getSizeOfDimension(), mulPrepare(), padPrepare(), onert::backend::cpu::ops::SoftMaxLayer::softmaxFloat32(), softmaxFloat32(), and subPrepare().

    +

    Referenced by addPrepare(), concatenationPrepare(), convertShapeToDims(), convPrepare(), depthwiseConvPrepare(), divPrepare(), fullyConnectedPrepare(), genericPoolingPrepare(), onert::backend::cpu::ops::getSizeOfDimension(), getSizeOfDimension(), mulPrepare(), padPrepare(), onert::backend::cpu::ops::SoftMaxLayer::softmaxFloat32(), softmaxFloat32(), and subPrepare().

    diff --git a/compiler_2ann-ref_2src_2assert_8h.js b/compiler_2ann-ref_2src_2assert_8h.js deleted file mode 100644 index 5af4cac4b52..00000000000 --- a/compiler_2ann-ref_2src_2assert_8h.js +++ /dev/null @@ -1,4 +0,0 @@ -var compiler_2ann_ref_2src_2assert_8h = -[ - [ "ASSERT", "compiler_2ann-ref_2src_2assert_8h.html#a21487c386581c0c8aa19f587b8c97c0f", null ] -]; \ No newline at end of file diff --git a/compiler_2ann-ref_2src_2ops_2_add_8cpp.html b/compiler_2ann-ref_2src_2ops_2_add_8cpp.html index 8c2ed48a7f4..9c15ea33b93 100644 --- a/compiler_2ann-ref_2src_2ops_2_add_8cpp.html +++ b/compiler_2ann-ref_2src_2ops_2_add_8cpp.html @@ -139,8 +139,8 @@

    Definition at line 21 of file Add.cpp.

    22{
    - -
    24 ASSERT(in1.type == in2.type);
    + +
    24 ASSERT(in1.type == in2.type);
    25 if (SameShape(in1, in2))
    26 {
    27 return SetShape(in1, out);
    @@ -174,16 +174,16 @@

    55 }

    56 return true;
    57}
    +
    #define ASSERT(v)
    Definition Assert.h:24
    #define LOG(...)
    Definition Logging.h:36
    bool SetShape(const Shape &in, Shape *out)
    Definition Shape.cpp:38
    uint32_t getSizeOfDimension(const Shape &shape, uint32_t dimensionIdx)
    Definition Shape.cpp:60
    bool SameShape(const Shape &in1, const Shape &in2)
    Definition Shape.cpp:22
    uint32_t getNumberOfDimensions(const Shape &shape)
    Definition Shape.cpp:58
    -
    #define ASSERT(v)
    Definition Assert.h:24
    OperandType type
    Definition Shape.h:29
    std::vector< uint32_t > dimensions
    Definition Shape.h:30
    -

    References ASSERT, Shape::dimensions, getNumberOfDimensions(), getSizeOfDimension(), LOG, SameShape(), SetShape(), and Shape::type.

    +

    References ASSERT, Shape::dimensions, getNumberOfDimensions(), getSizeOfDimension(), LOG, SameShape(), SetShape(), and Shape::type.

    diff --git a/compiler_2ann-ref_2src_2ops_2_add_8cpp_source.html b/compiler_2ann-ref_2src_2ops_2_add_8cpp_source.html index e33efd9304c..77e30d3e32f 100644 --- a/compiler_2ann-ref_2src_2ops_2_add_8cpp_source.html +++ b/compiler_2ann-ref_2src_2ops_2_add_8cpp_source.html @@ -120,8 +120,8 @@
    21bool addPrepare(const Shape &in1, const Shape &in2, Shape *out)
    22{
    - -
    24 ASSERT(in1.type == in2.type);
    + +
    24 ASSERT(in1.type == in2.type);
    25 if (SameShape(in1, in2))
    26 {
    27 return SetShape(in1, out);
    @@ -156,12 +156,12 @@
    56 return true;
    57}
    +
    #define ASSERT(v)
    Definition Assert.h:24
    #define LOG(...)
    Definition Logging.h:36
    bool SetShape(const Shape &in, Shape *out)
    Definition Shape.cpp:38
    uint32_t getSizeOfDimension(const Shape &shape, uint32_t dimensionIdx)
    Definition Shape.cpp:60
    bool SameShape(const Shape &in1, const Shape &in2)
    Definition Shape.cpp:22
    uint32_t getNumberOfDimensions(const Shape &shape)
    Definition Shape.cpp:58
    -
    #define ASSERT(v)
    Definition Assert.h:24
    bool addPrepare(const Shape &in1, const Shape &in2, Shape *out)
    Definition Add.cpp:21
    Definition Shape.h:28
    OperandType type
    Definition Shape.h:29
    diff --git a/compiler_2ann-ref_2src_2ops_2_concatenation_8cpp.html b/compiler_2ann-ref_2src_2ops_2_concatenation_8cpp.html index 491e2349609..359ad05e40e 100644 --- a/compiler_2ann-ref_2src_2ops_2_concatenation_8cpp.html +++ b/compiler_2ann-ref_2src_2ops_2_concatenation_8cpp.html @@ -144,18 +144,18 @@

    25 OperandType input_type = inputShapes[0].type;
    26 uint32_t num_dimensions = getNumberOfDimensions(inputShapes[0]);
    27
    -
    28 ASSERT(axis >= 0);
    -
    29 ASSERT(axis < (int32_t)num_dimensions);
    +
    28 ASSERT(axis >= 0);
    +
    29 ASSERT(axis < (int32_t)num_dimensions);
    30
    31 int sum_axis = getSizeOfDimension(inputShapes[0], axis);
    32 for (int i = 1; i < num_inputs; ++i)
    33 {
    -
    34 ASSERT(getNumberOfDimensions(inputShapes[i]) == num_dimensions);
    -
    35 ASSERT(inputShapes[i].type == inputShapes[0].type);
    +
    34 ASSERT(getNumberOfDimensions(inputShapes[i]) == num_dimensions);
    +
    35 ASSERT(inputShapes[i].type == inputShapes[0].type);
    36 if (input_type == OperandType::TENSOR_QUANT8_ASYMM)
    37 {
    -
    38 ASSERT(inputShapes[0].offset == inputShapes[i].offset);
    -
    39 ASSERT(inputShapes[0].scale == inputShapes[i].scale);
    +
    38 ASSERT(inputShapes[0].offset == inputShapes[i].offset);
    +
    39 ASSERT(inputShapes[0].scale == inputShapes[i].scale);
    40 }
    41 for (int d = 0; d < (int32_t)num_dimensions; ++d)
    42 {
    @@ -165,7 +165,7 @@

    46 }
    47 else
    48 {
    -
    49 ASSERT(getSizeOfDimension(inputShapes[0], d) ==
    +
    49 ASSERT(getSizeOfDimension(inputShapes[0], d) ==
    50 getSizeOfDimension(inputShapes[i], d));
    51 }
    52 }
    @@ -177,22 +177,22 @@

    58
    59 if (input_type == OperandType::TENSOR_QUANT8_ASYMM)
    60 {
    -
    61 ASSERT(inputShapes[0].offset == output->offset);
    -
    62 ASSERT(inputShapes[0].scale == output->scale);
    +
    61 ASSERT(inputShapes[0].offset == output->offset);
    +
    62 ASSERT(inputShapes[0].scale == output->scale);
    63 }
    64
    65 return true;
    66}
    OperandType
    Definition OperandType.h:24
    +
    #define ASSERT(v)
    Definition Assert.h:24
    uint32_t getSizeOfDimension(const Shape &shape, uint32_t dimensionIdx)
    Definition Shape.cpp:60
    uint32_t getNumberOfDimensions(const Shape &shape)
    Definition Shape.cpp:58
    -
    #define ASSERT(v)
    Definition Assert.h:24
    __global uchar * offset(const Image *img, int x, int y)
    Definition helpers.h:540
    Option< std::vector< int > > inputShapes(optname("--input-shape"), overview("Shape of caffe2 input"), std::vector< int >{}, optional(false), optvalues(""), nullptr, separators(""), showopt(false), IOption::Group::caffe2)
    Definition Options.h:32
    -

    References ASSERT, getNumberOfDimensions(), getSizeOfDimension(), and offset().

    +

    References ASSERT, getNumberOfDimensions(), getSizeOfDimension(), and offset().

    diff --git a/compiler_2ann-ref_2src_2ops_2_concatenation_8cpp_source.html b/compiler_2ann-ref_2src_2ops_2_concatenation_8cpp_source.html index 95cada5dc18..426381de94f 100644 --- a/compiler_2ann-ref_2src_2ops_2_concatenation_8cpp_source.html +++ b/compiler_2ann-ref_2src_2ops_2_concatenation_8cpp_source.html @@ -125,18 +125,18 @@
    25 OperandType input_type = inputShapes[0].type;
    26 uint32_t num_dimensions = getNumberOfDimensions(inputShapes[0]);
    27
    -
    28 ASSERT(axis >= 0);
    -
    29 ASSERT(axis < (int32_t)num_dimensions);
    +
    28 ASSERT(axis >= 0);
    +
    29 ASSERT(axis < (int32_t)num_dimensions);
    30
    31 int sum_axis = getSizeOfDimension(inputShapes[0], axis);
    32 for (int i = 1; i < num_inputs; ++i)
    33 {
    -
    34 ASSERT(getNumberOfDimensions(inputShapes[i]) == num_dimensions);
    -
    35 ASSERT(inputShapes[i].type == inputShapes[0].type);
    +
    34 ASSERT(getNumberOfDimensions(inputShapes[i]) == num_dimensions);
    +
    35 ASSERT(inputShapes[i].type == inputShapes[0].type);
    36 if (input_type == OperandType::TENSOR_QUANT8_ASYMM)
    37 {
    -
    38 ASSERT(inputShapes[0].offset == inputShapes[i].offset);
    -
    39 ASSERT(inputShapes[0].scale == inputShapes[i].scale);
    +
    38 ASSERT(inputShapes[0].offset == inputShapes[i].offset);
    +
    39 ASSERT(inputShapes[0].scale == inputShapes[i].scale);
    40 }
    41 for (int d = 0; d < (int32_t)num_dimensions; ++d)
    42 {
    @@ -146,7 +146,7 @@
    46 }
    47 else
    48 {
    -
    49 ASSERT(getSizeOfDimension(inputShapes[0], d) ==
    +
    49 ASSERT(getSizeOfDimension(inputShapes[0], d) ==
    50 getSizeOfDimension(inputShapes[i], d));
    51 }
    52 }
    @@ -158,17 +158,17 @@
    58
    59 if (input_type == OperandType::TENSOR_QUANT8_ASYMM)
    60 {
    -
    61 ASSERT(inputShapes[0].offset == output->offset);
    -
    62 ASSERT(inputShapes[0].scale == output->scale);
    +
    61 ASSERT(inputShapes[0].offset == output->offset);
    +
    62 ASSERT(inputShapes[0].scale == output->scale);
    63 }
    64
    65 return true;
    66}
    OperandType
    Definition OperandType.h:24
    +
    #define ASSERT(v)
    Definition Assert.h:24
    uint32_t getSizeOfDimension(const Shape &shape, uint32_t dimensionIdx)
    Definition Shape.cpp:60
    uint32_t getNumberOfDimensions(const Shape &shape)
    Definition Shape.cpp:58
    -
    #define ASSERT(v)
    Definition Assert.h:24
    bool concatenationPrepare(const std::vector< Shape > &inputShapes, int32_t axis, Shape *output)
    __global uchar * offset(const Image *img, int x, int y)
    Definition helpers.h:540
    diff --git a/compiler_2ann-ref_2src_2ops_2_concatenation_8h.html b/compiler_2ann-ref_2src_2ops_2_concatenation_8h.html index c4d23b6f713..732ba78a39d 100644 --- a/compiler_2ann-ref_2src_2ops_2_concatenation_8h.html +++ b/compiler_2ann-ref_2src_2ops_2_concatenation_8h.html @@ -145,18 +145,18 @@

    25 OperandType input_type = inputShapes[0].type;
    26 uint32_t num_dimensions = getNumberOfDimensions(inputShapes[0]);
    27
    -
    28 ASSERT(axis >= 0);
    -
    29 ASSERT(axis < (int32_t)num_dimensions);
    +
    28 ASSERT(axis >= 0);
    +
    29 ASSERT(axis < (int32_t)num_dimensions);
    30
    31 int sum_axis = getSizeOfDimension(inputShapes[0], axis);
    32 for (int i = 1; i < num_inputs; ++i)
    33 {
    -
    34 ASSERT(getNumberOfDimensions(inputShapes[i]) == num_dimensions);
    -
    35 ASSERT(inputShapes[i].type == inputShapes[0].type);
    +
    34 ASSERT(getNumberOfDimensions(inputShapes[i]) == num_dimensions);
    +
    35 ASSERT(inputShapes[i].type == inputShapes[0].type);
    36 if (input_type == OperandType::TENSOR_QUANT8_ASYMM)
    37 {
    -
    38 ASSERT(inputShapes[0].offset == inputShapes[i].offset);
    -
    39 ASSERT(inputShapes[0].scale == inputShapes[i].scale);
    +
    38 ASSERT(inputShapes[0].offset == inputShapes[i].offset);
    +
    39 ASSERT(inputShapes[0].scale == inputShapes[i].scale);
    40 }
    41 for (int d = 0; d < (int32_t)num_dimensions; ++d)
    42 {
    @@ -166,7 +166,7 @@

    46 }
    47 else
    48 {
    -
    49 ASSERT(getSizeOfDimension(inputShapes[0], d) ==
    +
    49 ASSERT(getSizeOfDimension(inputShapes[0], d) ==
    50 getSizeOfDimension(inputShapes[i], d));
    51 }
    52 }
    @@ -178,22 +178,22 @@

    58
    59 if (input_type == OperandType::TENSOR_QUANT8_ASYMM)
    60 {
    -
    61 ASSERT(inputShapes[0].offset == output->offset);
    -
    62 ASSERT(inputShapes[0].scale == output->scale);
    +
    61 ASSERT(inputShapes[0].offset == output->offset);
    +
    62 ASSERT(inputShapes[0].scale == output->scale);
    63 }
    64
    65 return true;
    66}
    OperandType
    Definition OperandType.h:24
    +
    #define ASSERT(v)
    Definition Assert.h:24
    uint32_t getSizeOfDimension(const Shape &shape, uint32_t dimensionIdx)
    Definition Shape.cpp:60
    uint32_t getNumberOfDimensions(const Shape &shape)
    Definition Shape.cpp:58
    -
    #define ASSERT(v)
    Definition Assert.h:24
    __global uchar * offset(const Image *img, int x, int y)
    Definition helpers.h:540
    Option< std::vector< int > > inputShapes(optname("--input-shape"), overview("Shape of caffe2 input"), std::vector< int >{}, optional(false), optvalues(""), nullptr, separators(""), showopt(false), IOption::Group::caffe2)
    Definition Options.h:32
    -

    References ASSERT, getNumberOfDimensions(), getSizeOfDimension(), and offset().

    +

    References ASSERT, getNumberOfDimensions(), getSizeOfDimension(), and offset().

    diff --git a/compiler_2ann-ref_2src_2ops_2_conv2_d_8cpp.html b/compiler_2ann-ref_2src_2ops_2_conv2_d_8cpp.html index 9bd077da99a..ed4c984a0c0 100644 --- a/compiler_2ann-ref_2src_2ops_2_conv2_d_8cpp.html +++ b/compiler_2ann-ref_2src_2ops_2_conv2_d_8cpp.html @@ -182,21 +182,21 @@

    Definition at line 23 of file Conv2D.cpp.

    26{
    -
    27 ASSERT(input.type == filter.type);
    +
    27 ASSERT(input.type == filter.type);
    28 if (input.type == OperandType::TENSOR_QUANT8_ASYMM)
    29 {
    -
    30 ASSERT(bias.type == OperandType::TENSOR_INT32);
    +
    30 ASSERT(bias.type == OperandType::TENSOR_INT32);
    31 }
    32 else
    33 {
    -
    34 ASSERT(input.type == bias.type);
    +
    34 ASSERT(input.type == bias.type);
    35 }
    -
    36 ASSERT(getNumberOfDimensions(input) == 4);
    -
    37 ASSERT(getNumberOfDimensions(filter) == 4);
    -
    38 ASSERT(getNumberOfDimensions(bias) == 1);
    +
    36 ASSERT(getNumberOfDimensions(input) == 4);
    +
    37 ASSERT(getNumberOfDimensions(filter) == 4);
    +
    38 ASSERT(getNumberOfDimensions(bias) == 1);
    39
    -
    40 ASSERT(getSizeOfDimension(filter, 0) == getSizeOfDimension(bias, 0));
    -
    41 ASSERT(getSizeOfDimension(filter, 3) == getSizeOfDimension(input, 3));
    +
    40 ASSERT(getSizeOfDimension(filter, 0) == getSizeOfDimension(bias, 0));
    +
    41 ASSERT(getSizeOfDimension(filter, 3) == getSizeOfDimension(input, 3));
    42
    43 uint32_t channels_out = getSizeOfDimension(filter, 0);
    44 uint32_t width = getSizeOfDimension(input, 2);
    @@ -214,15 +214,15 @@

    56 return true;

    57}
    uint32_t computeOutSize(uint32_t imageSize, uint32_t filterSize, uint32_t stride, uint32_t paddingHead, uint32_t paddingTail)
    Definition Spatial.h:23
    +
    #define ASSERT(v)
    Definition Assert.h:24
    uint32_t getSizeOfDimension(const Shape &shape, uint32_t dimensionIdx)
    Definition Shape.cpp:60
    uint32_t getNumberOfDimensions(const Shape &shape)
    Definition Shape.cpp:58
    -
    #define ASSERT(v)
    Definition Assert.h:24
    -

    References ASSERT, computeOutSize(), getNumberOfDimensions(), and getSizeOfDimension().

    +

    References ASSERT, computeOutSize(), getNumberOfDimensions(), and getSizeOfDimension().

    diff --git a/compiler_2ann-ref_2src_2ops_2_conv2_d_8cpp_source.html b/compiler_2ann-ref_2src_2ops_2_conv2_d_8cpp_source.html index f0111dbf479..d50a619c504 100644 --- a/compiler_2ann-ref_2src_2ops_2_conv2_d_8cpp_source.html +++ b/compiler_2ann-ref_2src_2ops_2_conv2_d_8cpp_source.html @@ -124,21 +124,21 @@
    24 int32_t padding_right, int32_t padding_top, int32_t padding_bottom,
    25 int32_t stride_width, int32_t stride_height, Shape *output)
    26{
    -
    27 ASSERT(input.type == filter.type);
    +
    27 ASSERT(input.type == filter.type);
    28 if (input.type == OperandType::TENSOR_QUANT8_ASYMM)
    29 {
    -
    30 ASSERT(bias.type == OperandType::TENSOR_INT32);
    +
    30 ASSERT(bias.type == OperandType::TENSOR_INT32);
    31 }
    32 else
    33 {
    -
    34 ASSERT(input.type == bias.type);
    +
    34 ASSERT(input.type == bias.type);
    35 }
    -
    36 ASSERT(getNumberOfDimensions(input) == 4);
    -
    37 ASSERT(getNumberOfDimensions(filter) == 4);
    -
    38 ASSERT(getNumberOfDimensions(bias) == 1);
    +
    36 ASSERT(getNumberOfDimensions(input) == 4);
    +
    37 ASSERT(getNumberOfDimensions(filter) == 4);
    +
    38 ASSERT(getNumberOfDimensions(bias) == 1);
    39
    -
    40 ASSERT(getSizeOfDimension(filter, 0) == getSizeOfDimension(bias, 0));
    -
    41 ASSERT(getSizeOfDimension(filter, 3) == getSizeOfDimension(input, 3));
    +
    40 ASSERT(getSizeOfDimension(filter, 0) == getSizeOfDimension(bias, 0));
    +
    41 ASSERT(getSizeOfDimension(filter, 3) == getSizeOfDimension(input, 3));
    42
    43 uint32_t channels_out = getSizeOfDimension(filter, 0);
    44 uint32_t width = getSizeOfDimension(input, 2);
    @@ -158,9 +158,9 @@
    uint32_t computeOutSize(uint32_t imageSize, uint32_t filterSize, uint32_t stride, uint32_t paddingHead, uint32_t paddingTail)
    Definition Spatial.h:23
    +
    #define ASSERT(v)
    Definition Assert.h:24
    uint32_t getSizeOfDimension(const Shape &shape, uint32_t dimensionIdx)
    Definition Shape.cpp:60
    uint32_t getNumberOfDimensions(const Shape &shape)
    Definition Shape.cpp:58
    -
    #define ASSERT(v)
    Definition Assert.h:24
    bool convPrepare(const Shape &input, const Shape &filter, const Shape &bias, int32_t padding_left, int32_t padding_right, int32_t padding_top, int32_t padding_bottom, int32_t stride_width, int32_t stride_height, Shape *output)
    Definition Conv2D.cpp:23
    Definition Shape.h:28
    diff --git a/compiler_2ann-ref_2src_2ops_2_conv2_d_8h.html b/compiler_2ann-ref_2src_2ops_2_conv2_d_8h.html index 9de6f5891d1..8709d7e3579 100644 --- a/compiler_2ann-ref_2src_2ops_2_conv2_d_8h.html +++ b/compiler_2ann-ref_2src_2ops_2_conv2_d_8h.html @@ -181,21 +181,21 @@

    Definition at line 23 of file Conv2D.cpp.

    26{
    -
    27 ASSERT(input.type == filter.type);
    +
    27 ASSERT(input.type == filter.type);
    28 if (input.type == OperandType::TENSOR_QUANT8_ASYMM)
    29 {
    -
    30 ASSERT(bias.type == OperandType::TENSOR_INT32);
    +
    30 ASSERT(bias.type == OperandType::TENSOR_INT32);
    31 }
    32 else
    33 {
    -
    34 ASSERT(input.type == bias.type);
    +
    34 ASSERT(input.type == bias.type);
    35 }
    -
    36 ASSERT(getNumberOfDimensions(input) == 4);
    -
    37 ASSERT(getNumberOfDimensions(filter) == 4);
    -
    38 ASSERT(getNumberOfDimensions(bias) == 1);
    +
    36 ASSERT(getNumberOfDimensions(input) == 4);
    +
    37 ASSERT(getNumberOfDimensions(filter) == 4);
    +
    38 ASSERT(getNumberOfDimensions(bias) == 1);
    39
    -
    40 ASSERT(getSizeOfDimension(filter, 0) == getSizeOfDimension(bias, 0));
    -
    41 ASSERT(getSizeOfDimension(filter, 3) == getSizeOfDimension(input, 3));
    +
    40 ASSERT(getSizeOfDimension(filter, 0) == getSizeOfDimension(bias, 0));
    +
    41 ASSERT(getSizeOfDimension(filter, 3) == getSizeOfDimension(input, 3));
    42
    43 uint32_t channels_out = getSizeOfDimension(filter, 0);
    44 uint32_t width = getSizeOfDimension(input, 2);
    @@ -213,15 +213,15 @@

    56 return true;

    57}
    uint32_t computeOutSize(uint32_t imageSize, uint32_t filterSize, uint32_t stride, uint32_t paddingHead, uint32_t paddingTail)
    Definition Spatial.h:23
    +
    #define ASSERT(v)
    Definition Assert.h:24
    uint32_t getSizeOfDimension(const Shape &shape, uint32_t dimensionIdx)
    Definition Shape.cpp:60
    uint32_t getNumberOfDimensions(const Shape &shape)
    Definition Shape.cpp:58
    -
    #define ASSERT(v)
    Definition Assert.h:24
    -

    References ASSERT, computeOutSize(), getNumberOfDimensions(), and getSizeOfDimension().

    +

    References ASSERT, computeOutSize(), getNumberOfDimensions(), and getSizeOfDimension().

    diff --git a/compiler_2ann-ref_2src_2ops_2_depthwise_conv2_d_8cpp.html b/compiler_2ann-ref_2src_2ops_2_depthwise_conv2_d_8cpp.html index e0dead89c9a..3d347811a75 100644 --- a/compiler_2ann-ref_2src_2ops_2_depthwise_conv2_d_8cpp.html +++ b/compiler_2ann-ref_2src_2ops_2_depthwise_conv2_d_8cpp.html @@ -182,20 +182,20 @@

    Definition at line 23 of file DepthwiseConv2D.cpp.

    27{
    -
    28 ASSERT(input.type == filter.type);
    +
    28 ASSERT(input.type == filter.type);
    29 if (input.type == OperandType::TENSOR_QUANT8_ASYMM)
    30 {
    -
    31 ASSERT(bias.type == OperandType::TENSOR_INT32);
    +
    31 ASSERT(bias.type == OperandType::TENSOR_INT32);
    32 }
    33 else
    34 {
    -
    35 ASSERT(input.type == bias.type);
    +
    35 ASSERT(input.type == bias.type);
    36 }
    -
    37 ASSERT(getNumberOfDimensions(input) == 4);
    -
    38 ASSERT(getNumberOfDimensions(filter) == 4);
    -
    39 ASSERT(getNumberOfDimensions(bias) == 1);
    +
    37 ASSERT(getNumberOfDimensions(input) == 4);
    +
    38 ASSERT(getNumberOfDimensions(filter) == 4);
    +
    39 ASSERT(getNumberOfDimensions(bias) == 1);
    40
    -
    41 ASSERT(getSizeOfDimension(filter, 3) == getSizeOfDimension(bias, 0));
    +
    41 ASSERT(getSizeOfDimension(filter, 3) == getSizeOfDimension(bias, 0));
    42
    43 uint32_t channels_out = getSizeOfDimension(filter, 3);
    44 uint32_t width = getSizeOfDimension(input, 2);
    @@ -213,15 +213,15 @@

    56 return true;

    57}
    uint32_t computeOutSize(uint32_t imageSize, uint32_t filterSize, uint32_t stride, uint32_t paddingHead, uint32_t paddingTail)
    Definition Spatial.h:23
    +
    #define ASSERT(v)
    Definition Assert.h:24
    uint32_t getSizeOfDimension(const Shape &shape, uint32_t dimensionIdx)
    Definition Shape.cpp:60
    uint32_t getNumberOfDimensions(const Shape &shape)
    Definition Shape.cpp:58
    -
    #define ASSERT(v)
    Definition Assert.h:24
    -

    References ASSERT, computeOutSize(), getNumberOfDimensions(), and getSizeOfDimension().

    +

    References ASSERT, computeOutSize(), getNumberOfDimensions(), and getSizeOfDimension().

    diff --git a/compiler_2ann-ref_2src_2ops_2_depthwise_conv2_d_8cpp_source.html b/compiler_2ann-ref_2src_2ops_2_depthwise_conv2_d_8cpp_source.html index e6ecc2d6983..a340f033e65 100644 --- a/compiler_2ann-ref_2src_2ops_2_depthwise_conv2_d_8cpp_source.html +++ b/compiler_2ann-ref_2src_2ops_2_depthwise_conv2_d_8cpp_source.html @@ -125,20 +125,20 @@
    25 int32_t padding_bottom, int32_t stride_width, int32_t stride_height,
    26 Shape *output)
    27{
    -
    28 ASSERT(input.type == filter.type);
    +
    28 ASSERT(input.type == filter.type);
    29 if (input.type == OperandType::TENSOR_QUANT8_ASYMM)
    30 {
    -
    31 ASSERT(bias.type == OperandType::TENSOR_INT32);
    +
    31 ASSERT(bias.type == OperandType::TENSOR_INT32);
    32 }
    33 else
    34 {
    -
    35 ASSERT(input.type == bias.type);
    +
    35 ASSERT(input.type == bias.type);
    36 }
    -
    37 ASSERT(getNumberOfDimensions(input) == 4);
    -
    38 ASSERT(getNumberOfDimensions(filter) == 4);
    -
    39 ASSERT(getNumberOfDimensions(bias) == 1);
    +
    37 ASSERT(getNumberOfDimensions(input) == 4);
    +
    38 ASSERT(getNumberOfDimensions(filter) == 4);
    +
    39 ASSERT(getNumberOfDimensions(bias) == 1);
    40
    -
    41 ASSERT(getSizeOfDimension(filter, 3) == getSizeOfDimension(bias, 0));
    +
    41 ASSERT(getSizeOfDimension(filter, 3) == getSizeOfDimension(bias, 0));
    42
    43 uint32_t channels_out = getSizeOfDimension(filter, 3);
    44 uint32_t width = getSizeOfDimension(input, 2);
    @@ -158,9 +158,9 @@
    uint32_t computeOutSize(uint32_t imageSize, uint32_t filterSize, uint32_t stride, uint32_t paddingHead, uint32_t paddingTail)
    Definition Spatial.h:23
    +
    #define ASSERT(v)
    Definition Assert.h:24
    uint32_t getSizeOfDimension(const Shape &shape, uint32_t dimensionIdx)
    Definition Shape.cpp:60
    uint32_t getNumberOfDimensions(const Shape &shape)
    Definition Shape.cpp:58
    -
    #define ASSERT(v)
    Definition Assert.h:24
    bool depthwiseConvPrepare(const Shape &input, const Shape &filter, const Shape &bias, int32_t padding_left, int32_t padding_right, int32_t padding_top, int32_t padding_bottom, int32_t stride_width, int32_t stride_height, Shape *output)
    Definition Shape.h:28
    diff --git a/compiler_2ann-ref_2src_2ops_2_depthwise_conv2_d_8h.html b/compiler_2ann-ref_2src_2ops_2_depthwise_conv2_d_8h.html index 5f7d0a35c7c..20c56ca7444 100644 --- a/compiler_2ann-ref_2src_2ops_2_depthwise_conv2_d_8h.html +++ b/compiler_2ann-ref_2src_2ops_2_depthwise_conv2_d_8h.html @@ -181,20 +181,20 @@

    Definition at line 23 of file DepthwiseConv2D.cpp.

    27{
    -
    28 ASSERT(input.type == filter.type);
    +
    28 ASSERT(input.type == filter.type);
    29 if (input.type == OperandType::TENSOR_QUANT8_ASYMM)
    30 {
    -
    31 ASSERT(bias.type == OperandType::TENSOR_INT32);
    +
    31 ASSERT(bias.type == OperandType::TENSOR_INT32);
    32 }
    33 else
    34 {
    -
    35 ASSERT(input.type == bias.type);
    +
    35 ASSERT(input.type == bias.type);
    36 }
    -
    37 ASSERT(getNumberOfDimensions(input) == 4);
    -
    38 ASSERT(getNumberOfDimensions(filter) == 4);
    -
    39 ASSERT(getNumberOfDimensions(bias) == 1);
    +
    37 ASSERT(getNumberOfDimensions(input) == 4);
    +
    38 ASSERT(getNumberOfDimensions(filter) == 4);
    +
    39 ASSERT(getNumberOfDimensions(bias) == 1);
    40
    -
    41 ASSERT(getSizeOfDimension(filter, 3) == getSizeOfDimension(bias, 0));
    +
    41 ASSERT(getSizeOfDimension(filter, 3) == getSizeOfDimension(bias, 0));
    42
    43 uint32_t channels_out = getSizeOfDimension(filter, 3);
    44 uint32_t width = getSizeOfDimension(input, 2);
    @@ -212,15 +212,15 @@

    56 return true;

    57}
    uint32_t computeOutSize(uint32_t imageSize, uint32_t filterSize, uint32_t stride, uint32_t paddingHead, uint32_t paddingTail)
    Definition Spatial.h:23
    +
    #define ASSERT(v)
    Definition Assert.h:24
    uint32_t getSizeOfDimension(const Shape &shape, uint32_t dimensionIdx)
    Definition Shape.cpp:60
    uint32_t getNumberOfDimensions(const Shape &shape)
    Definition Shape.cpp:58
    -
    #define ASSERT(v)
    Definition Assert.h:24
    -

    References ASSERT, computeOutSize(), getNumberOfDimensions(), and getSizeOfDimension().

    +

    References ASSERT, computeOutSize(), getNumberOfDimensions(), and getSizeOfDimension().

    diff --git a/compiler_2ann-ref_2src_2ops_2_div_8cpp.html b/compiler_2ann-ref_2src_2ops_2_div_8cpp.html index 50dee994387..dffb8a7c985 100644 --- a/compiler_2ann-ref_2src_2ops_2_div_8cpp.html +++ b/compiler_2ann-ref_2src_2ops_2_div_8cpp.html @@ -139,8 +139,8 @@

    Definition at line 21 of file Div.cpp.

    22{
    - -
    24 ASSERT(in1.type == in2.type);
    + +
    24 ASSERT(in1.type == in2.type);
    25 if (SameShape(in1, in2))
    26 {
    27 return SetShape(in1, out);
    @@ -174,16 +174,16 @@

    55 }

    56 return true;
    57}
    +
    #define ASSERT(v)
    Definition Assert.h:24
    #define LOG(...)
    Definition Logging.h:36
    bool SetShape(const Shape &in, Shape *out)
    Definition Shape.cpp:38
    uint32_t getSizeOfDimension(const Shape &shape, uint32_t dimensionIdx)
    Definition Shape.cpp:60
    bool SameShape(const Shape &in1, const Shape &in2)
    Definition Shape.cpp:22
    uint32_t getNumberOfDimensions(const Shape &shape)
    Definition Shape.cpp:58
    -
    #define ASSERT(v)
    Definition Assert.h:24
    OperandType type
    Definition Shape.h:29
    std::vector< uint32_t > dimensions
    Definition Shape.h:30
    -

    References ASSERT, Shape::dimensions, getNumberOfDimensions(), getSizeOfDimension(), LOG, SameShape(), SetShape(), and Shape::type.

    +

    References ASSERT, Shape::dimensions, getNumberOfDimensions(), getSizeOfDimension(), LOG, SameShape(), SetShape(), and Shape::type.

    diff --git a/compiler_2ann-ref_2src_2ops_2_div_8cpp_source.html b/compiler_2ann-ref_2src_2ops_2_div_8cpp_source.html index 0984f0be4b1..ab35781224e 100644 --- a/compiler_2ann-ref_2src_2ops_2_div_8cpp_source.html +++ b/compiler_2ann-ref_2src_2ops_2_div_8cpp_source.html @@ -120,8 +120,8 @@
    21bool divPrepare(const Shape &in1, const Shape &in2, Shape *out)
    22{
    - -
    24 ASSERT(in1.type == in2.type);
    + +
    24 ASSERT(in1.type == in2.type);
    25 if (SameShape(in1, in2))
    26 {
    27 return SetShape(in1, out);
    @@ -156,12 +156,12 @@
    56 return true;
    57}
    +
    #define ASSERT(v)
    Definition Assert.h:24
    #define LOG(...)
    Definition Logging.h:36
    bool SetShape(const Shape &in, Shape *out)
    Definition Shape.cpp:38
    uint32_t getSizeOfDimension(const Shape &shape, uint32_t dimensionIdx)
    Definition Shape.cpp:60
    bool SameShape(const Shape &in1, const Shape &in2)
    Definition Shape.cpp:22
    uint32_t getNumberOfDimensions(const Shape &shape)
    Definition Shape.cpp:58
    -
    #define ASSERT(v)
    Definition Assert.h:24
    bool divPrepare(const Shape &in1, const Shape &in2, Shape *out)
    Definition Div.cpp:21
    Definition Shape.h:28
    OperandType type
    Definition Shape.h:29
    diff --git a/compiler_2ann-ref_2src_2ops_2_fully_connected_8cpp.html b/compiler_2ann-ref_2src_2ops_2_fully_connected_8cpp.html index f9f2812b118..17462b171b9 100644 --- a/compiler_2ann-ref_2src_2ops_2_fully_connected_8cpp.html +++ b/compiler_2ann-ref_2src_2ops_2_fully_connected_8cpp.html @@ -147,16 +147,16 @@

    30{
    31 // Check all the parameters of tensor match within themselves and match the
    32 // input configuration.
    -
    33 ASSERT(input.type == weights.type);
    +
    33 ASSERT(input.type == weights.type);
    34 if (input.type == OperandType::TENSOR_QUANT8_ASYMM)
    35 {
    -
    36 ASSERT(bias.type == OperandType::TENSOR_INT32);
    +
    36 ASSERT(bias.type == OperandType::TENSOR_INT32);
    37 }
    38 else
    39 {
    -
    40 ASSERT(input.type == bias.type);
    +
    40 ASSERT(input.type == bias.type);
    41 }
    -
    42 ASSERT(getNumberOfDimensions(input) >= 2);
    +
    42 ASSERT(getNumberOfDimensions(input) >= 2);
    43 uint32_t input_size = getNumberOfElements(input);
    44 uint32_t num_units = getSizeOfDimension(weights, 0);
    45
    @@ -176,25 +176,25 @@

    59
    60 uint32_t batch_size = input_size / shape_size;
    61
    -
    62 ASSERT(getSizeOfDimension(bias, 0) == num_units);
    -
    63 ASSERT(getSizeOfDimension(weights, 1) * batch_size == input_size);
    -
    64 ASSERT(getNumberOfDimensions(weights) == 2);
    +
    62 ASSERT(getSizeOfDimension(bias, 0) == num_units);
    +
    63 ASSERT(getSizeOfDimension(weights, 1) * batch_size == input_size);
    +
    64 ASSERT(getNumberOfDimensions(weights) == 2);
    65
    66 output->type = input.type;
    67 output->dimensions = {batch_size, num_units};
    68
    69 return true;
    70}
    +
    #define ASSERT(v)
    Definition Assert.h:24
    uint32_t getNumberOfElements(const Shape &shape)
    Definition Shape.cpp:48
    uint32_t getSizeOfDimension(const Shape &shape, uint32_t dimensionIdx)
    Definition Shape.cpp:60
    uint32_t getNumberOfDimensions(const Shape &shape)
    Definition Shape.cpp:58
    -
    #define ASSERT(v)
    Definition Assert.h:24
    OperandType type
    Definition Shape.h:29
    -

    References ASSERT, getNumberOfDimensions(), getNumberOfElements(), getSizeOfDimension(), and Shape::type.

    +

    References ASSERT, getNumberOfDimensions(), getNumberOfElements(), getSizeOfDimension(), and Shape::type.

    diff --git a/compiler_2ann-ref_2src_2ops_2_fully_connected_8cpp_source.html b/compiler_2ann-ref_2src_2ops_2_fully_connected_8cpp_source.html index 21995a95a4c..20007ba1478 100644 --- a/compiler_2ann-ref_2src_2ops_2_fully_connected_8cpp_source.html +++ b/compiler_2ann-ref_2src_2ops_2_fully_connected_8cpp_source.html @@ -130,16 +130,16 @@
    30{
    31 // Check all the parameters of tensor match within themselves and match the
    32 // input configuration.
    -
    33 ASSERT(input.type == weights.type);
    +
    33 ASSERT(input.type == weights.type);
    34 if (input.type == OperandType::TENSOR_QUANT8_ASYMM)
    35 {
    -
    36 ASSERT(bias.type == OperandType::TENSOR_INT32);
    +
    36 ASSERT(bias.type == OperandType::TENSOR_INT32);
    37 }
    38 else
    39 {
    -
    40 ASSERT(input.type == bias.type);
    +
    40 ASSERT(input.type == bias.type);
    41 }
    -
    42 ASSERT(getNumberOfDimensions(input) >= 2);
    +
    42 ASSERT(getNumberOfDimensions(input) >= 2);
    43 uint32_t input_size = getNumberOfElements(input);
    44 uint32_t num_units = getSizeOfDimension(weights, 0);
    45
    @@ -159,9 +159,9 @@
    59
    60 uint32_t batch_size = input_size / shape_size;
    61
    -
    62 ASSERT(getSizeOfDimension(bias, 0) == num_units);
    -
    63 ASSERT(getSizeOfDimension(weights, 1) * batch_size == input_size);
    -
    64 ASSERT(getNumberOfDimensions(weights) == 2);
    +
    62 ASSERT(getSizeOfDimension(bias, 0) == num_units);
    +
    63 ASSERT(getSizeOfDimension(weights, 1) * batch_size == input_size);
    +
    64 ASSERT(getNumberOfDimensions(weights) == 2);
    65
    66 output->type = input.type;
    67 output->dimensions = {batch_size, num_units};
    @@ -172,10 +172,10 @@ +
    #define ASSERT(v)
    Definition Assert.h:24
    uint32_t getNumberOfElements(const Shape &shape)
    Definition Shape.cpp:48
    uint32_t getSizeOfDimension(const Shape &shape, uint32_t dimensionIdx)
    Definition Shape.cpp:60
    uint32_t getNumberOfDimensions(const Shape &shape)
    Definition Shape.cpp:58
    -
    #define ASSERT(v)
    Definition Assert.h:24
    bool fullyConnectedPrepare(const Shape &input, const Shape &weights, const Shape &bias, Shape *output)
    diff --git a/compiler_2ann-ref_2src_2ops_2_fully_connected_8h.html b/compiler_2ann-ref_2src_2ops_2_fully_connected_8h.html index 3a6835dea46..fade59276d5 100644 --- a/compiler_2ann-ref_2src_2ops_2_fully_connected_8h.html +++ b/compiler_2ann-ref_2src_2ops_2_fully_connected_8h.html @@ -147,16 +147,16 @@

    30{
    31 // Check all the parameters of tensor match within themselves and match the
    32 // input configuration.
    -
    33 ASSERT(input.type == weights.type);
    +
    33 ASSERT(input.type == weights.type);
    34 if (input.type == OperandType::TENSOR_QUANT8_ASYMM)
    35 {
    -
    36 ASSERT(bias.type == OperandType::TENSOR_INT32);
    +
    36 ASSERT(bias.type == OperandType::TENSOR_INT32);
    37 }
    38 else
    39 {
    -
    40 ASSERT(input.type == bias.type);
    +
    40 ASSERT(input.type == bias.type);
    41 }
    -
    42 ASSERT(getNumberOfDimensions(input) >= 2);
    +
    42 ASSERT(getNumberOfDimensions(input) >= 2);
    43 uint32_t input_size = getNumberOfElements(input);
    44 uint32_t num_units = getSizeOfDimension(weights, 0);
    45
    @@ -176,25 +176,25 @@

    59
    60 uint32_t batch_size = input_size / shape_size;
    61
    -
    62 ASSERT(getSizeOfDimension(bias, 0) == num_units);
    -
    63 ASSERT(getSizeOfDimension(weights, 1) * batch_size == input_size);
    -
    64 ASSERT(getNumberOfDimensions(weights) == 2);
    +
    62 ASSERT(getSizeOfDimension(bias, 0) == num_units);
    +
    63 ASSERT(getSizeOfDimension(weights, 1) * batch_size == input_size);
    +
    64 ASSERT(getNumberOfDimensions(weights) == 2);
    65
    66 output->type = input.type;
    67 output->dimensions = {batch_size, num_units};
    68
    69 return true;
    70}
    +
    #define ASSERT(v)
    Definition Assert.h:24
    uint32_t getNumberOfElements(const Shape &shape)
    Definition Shape.cpp:48
    uint32_t getSizeOfDimension(const Shape &shape, uint32_t dimensionIdx)
    Definition Shape.cpp:60
    uint32_t getNumberOfDimensions(const Shape &shape)
    Definition Shape.cpp:58
    -
    #define ASSERT(v)
    Definition Assert.h:24
    OperandType type
    Definition Shape.h:29
    -

    References ASSERT, getNumberOfDimensions(), getNumberOfElements(), getSizeOfDimension(), and Shape::type.

    +

    References ASSERT, getNumberOfDimensions(), getNumberOfElements(), getSizeOfDimension(), and Shape::type.

    diff --git a/compiler_2ann-ref_2src_2ops_2_mul_8cpp.html b/compiler_2ann-ref_2src_2ops_2_mul_8cpp.html index 4c6c8e4268b..60d9c6a676c 100644 --- a/compiler_2ann-ref_2src_2ops_2_mul_8cpp.html +++ b/compiler_2ann-ref_2src_2ops_2_mul_8cpp.html @@ -139,8 +139,8 @@

    Definition at line 21 of file Mul.cpp.

    22{
    - -
    24 ASSERT(in1.type == in2.type);
    + +
    24 ASSERT(in1.type == in2.type);
    25 if (SameShape(in1, in2))
    26 {
    27 return SetShape(in1, out);
    @@ -174,16 +174,16 @@

    55 }

    56 return true;
    57}
    +
    #define ASSERT(v)
    Definition Assert.h:24
    #define LOG(...)
    Definition Logging.h:36
    bool SetShape(const Shape &in, Shape *out)
    Definition Shape.cpp:38
    uint32_t getSizeOfDimension(const Shape &shape, uint32_t dimensionIdx)
    Definition Shape.cpp:60
    bool SameShape(const Shape &in1, const Shape &in2)
    Definition Shape.cpp:22
    uint32_t getNumberOfDimensions(const Shape &shape)
    Definition Shape.cpp:58
    -
    #define ASSERT(v)
    Definition Assert.h:24
    OperandType type
    Definition Shape.h:29
    std::vector< uint32_t > dimensions
    Definition Shape.h:30
    -

    References ASSERT, Shape::dimensions, getNumberOfDimensions(), getSizeOfDimension(), LOG, SameShape(), SetShape(), and Shape::type.

    +

    References ASSERT, Shape::dimensions, getNumberOfDimensions(), getSizeOfDimension(), LOG, SameShape(), SetShape(), and Shape::type.

    diff --git a/compiler_2ann-ref_2src_2ops_2_mul_8cpp_source.html b/compiler_2ann-ref_2src_2ops_2_mul_8cpp_source.html index c1a0bd9a9bc..65e89b152bb 100644 --- a/compiler_2ann-ref_2src_2ops_2_mul_8cpp_source.html +++ b/compiler_2ann-ref_2src_2ops_2_mul_8cpp_source.html @@ -120,8 +120,8 @@
    21bool mulPrepare(const Shape &in1, const Shape &in2, Shape *out)
    22{
    - -
    24 ASSERT(in1.type == in2.type);
    + +
    24 ASSERT(in1.type == in2.type);
    25 if (SameShape(in1, in2))
    26 {
    27 return SetShape(in1, out);
    @@ -156,12 +156,12 @@
    56 return true;
    57}
    +
    #define ASSERT(v)
    Definition Assert.h:24
    #define LOG(...)
    Definition Logging.h:36
    bool SetShape(const Shape &in, Shape *out)
    Definition Shape.cpp:38
    uint32_t getSizeOfDimension(const Shape &shape, uint32_t dimensionIdx)
    Definition Shape.cpp:60
    bool SameShape(const Shape &in1, const Shape &in2)
    Definition Shape.cpp:22
    uint32_t getNumberOfDimensions(const Shape &shape)
    Definition Shape.cpp:58
    -
    #define ASSERT(v)
    Definition Assert.h:24
    bool mulPrepare(const Shape &in1, const Shape &in2, Shape *out)
    Definition Mul.cpp:21
    Definition Shape.h:28
    OperandType type
    Definition Shape.h:29
    diff --git a/compiler_2ann-ref_2src_2ops_2_pad_8cpp.html b/compiler_2ann-ref_2src_2ops_2_pad_8cpp.html index d016e5fd02c..7492926f47a 100644 --- a/compiler_2ann-ref_2src_2ops_2_pad_8cpp.html +++ b/compiler_2ann-ref_2src_2ops_2_pad_8cpp.html @@ -97,7 +97,7 @@
    #include "Pad.h"
    #include "Assert.h"
    #include "Logging.h"
    -#include "internal/Dims.h"
    +#include "internal/Dims.h"
    #include <vector>
    #include <cstring>
    @@ -171,18 +171,18 @@

    167 if (inputShape.type == OperandType::TENSOR_FLOAT32)
    168 {
    169 ::Pad(reinterpret_cast<const float*>(inputData),
    -
    170 convertShapeToDims(inputShape),
    +
    170 convertShapeToDims(inputShape),
    171 beforePadding, afterPadding,
    172 reinterpret_cast<float*>(outputData),
    -
    173 convertShapeToDims(outputShape));
    +
    173 convertShapeToDims(outputShape));
    174 }
    175 else if (inputShape.type == OperandType::TENSOR_QUANT8_ASYMM)
    176 {
    177 ::Pad(reinterpret_cast<const uint8_t*>(inputData),
    -
    178 convertShapeToDims(inputShape),
    +
    178 convertShapeToDims(inputShape),
    179 beforePadding, afterPadding,
    180 reinterpret_cast<uint8_t*>(outputData),
    -
    181 convertShapeToDims(outputShape));
    +
    181 convertShapeToDims(outputShape));
    182 }
    183 else
    184 {
    @@ -191,12 +191,12 @@

    187 }
    188 return true;
    189}
    -
    Dims< 4 > convertShapeToDims(const Shape &shape)
    Definition Dims.h:31
    +
    Dims< 4 > convertShapeToDims(const Shape &shape)
    Definition Dims.h:31
    #define LOG(...)
    Definition Logging.h:36
    uint32_t getNumberOfDimensions(const Shape &shape)
    Definition Shape.cpp:58
    OperandType type
    Definition Shape.h:29
    -

    References convertShapeToDims(), getNumberOfDimensions(), LOG, and Shape::type.

    +

    References convertShapeToDims(), getNumberOfDimensions(), LOG, and Shape::type.

    @@ -242,13 +242,13 @@

    30{
    31 // Currently only 4D tensors are supported.
    -
    33 ASSERT(numInputDims == 4);
    +
    33 ASSERT(numInputDims == 4);
    34
    35 // paddings need to be provided as a 2-D int32 tensor.
    -
    36 ASSERT(paddingsShape.type == OperandType::TENSOR_INT32);
    -
    37 ASSERT(getNumberOfDimensions(paddingsShape) == 2);
    -
    38 ASSERT(getSizeOfDimension(paddingsShape, 0) == numInputDims);
    -
    39 ASSERT(getSizeOfDimension(paddingsShape, 1) == 2);
    +
    36 ASSERT(paddingsShape.type == OperandType::TENSOR_INT32);
    +
    37 ASSERT(getNumberOfDimensions(paddingsShape) == 2);
    +
    38 ASSERT(getSizeOfDimension(paddingsShape, 0) == numInputDims);
    +
    39 ASSERT(getSizeOfDimension(paddingsShape, 1) == 2);
    40
    41 std::vector<uint32_t> outDims(numInputDims);
    42 for (uint32_t i = 0; i < numInputDims; ++i)
    @@ -256,7 +256,7 @@

    44 int32_t beforePadding = *paddingsData++;
    45 int32_t afterPadding = *paddingsData++;
    46 // Pad value has to be greater than equal to 0.
    -
    47 ASSERT(beforePadding >= 0 && afterPadding >= 0);
    +
    47 ASSERT(beforePadding >= 0 && afterPadding >= 0);
    48 outDims[i] = beforePadding + getSizeOfDimension(input, i) + afterPadding;
    49 }
    50 output->type = input.type;
    @@ -266,12 +266,12 @@

    54
    55 return true;
    56}
    +
    #define ASSERT(v)
    Definition Assert.h:24
    uint32_t getSizeOfDimension(const Shape &shape, uint32_t dimensionIdx)
    Definition Shape.cpp:60
    -
    #define ASSERT(v)
    Definition Assert.h:24
    -

    References ASSERT, getNumberOfDimensions(), getSizeOfDimension(), and Shape::type.

    +

    References ASSERT, getNumberOfDimensions(), getSizeOfDimension(), and Shape::type.

    diff --git a/compiler_2ann-ref_2src_2ops_2_pad_8cpp_source.html b/compiler_2ann-ref_2src_2ops_2_pad_8cpp_source.html index 61ce7539d0f..3b41219cf4d 100644 --- a/compiler_2ann-ref_2src_2ops_2_pad_8cpp_source.html +++ b/compiler_2ann-ref_2src_2ops_2_pad_8cpp_source.html @@ -119,7 +119,7 @@
    20#include "Assert.h"
    21#include "Logging.h"
    22
    -
    23#include "internal/Dims.h"
    +
    23#include "internal/Dims.h"
    24
    25#include <vector>
    26#include <cstring> // For 'memset'
    @@ -130,13 +130,13 @@
    30{
    31 // Currently only 4D tensors are supported.
    32 uint32_t numInputDims = getNumberOfDimensions(input);
    -
    33 ASSERT(numInputDims == 4);
    +
    33 ASSERT(numInputDims == 4);
    34
    35 // paddings need to be provided as a 2-D int32 tensor.
    -
    36 ASSERT(paddingsShape.type == OperandType::TENSOR_INT32);
    -
    37 ASSERT(getNumberOfDimensions(paddingsShape) == 2);
    -
    38 ASSERT(getSizeOfDimension(paddingsShape, 0) == numInputDims);
    -
    39 ASSERT(getSizeOfDimension(paddingsShape, 1) == 2);
    +
    36 ASSERT(paddingsShape.type == OperandType::TENSOR_INT32);
    +
    37 ASSERT(getNumberOfDimensions(paddingsShape) == 2);
    +
    38 ASSERT(getSizeOfDimension(paddingsShape, 0) == numInputDims);
    +
    39 ASSERT(getSizeOfDimension(paddingsShape, 1) == 2);
    40
    41 std::vector<uint32_t> outDims(numInputDims);
    42 for (uint32_t i = 0; i < numInputDims; ++i)
    @@ -144,7 +144,7 @@
    44 int32_t beforePadding = *paddingsData++;
    45 int32_t afterPadding = *paddingsData++;
    46 // Pad value has to be greater than equal to 0.
    -
    47 ASSERT(beforePadding >= 0 && afterPadding >= 0);
    +
    47 ASSERT(beforePadding >= 0 && afterPadding >= 0);
    48 outDims[i] = beforePadding + getSizeOfDimension(input, i) + afterPadding;
    49 }
    50 output->type = input.type;
    @@ -165,10 +165,10 @@
    64 const std::vector<int>& left_paddings,
    65 const std::vector<int>& right_paddings, T* output_data,
    66 const Dims<4>& output_dims) {
    -
    67 const int output_batch = ArraySize(output_dims, 3);
    -
    68 const int output_height = ArraySize(output_dims, 2);
    -
    69 const int output_width = ArraySize(output_dims, 1);
    -
    70 const int output_depth = ArraySize(output_dims, 0);
    +
    67 const int output_batch = ArraySize(output_dims, 3);
    +
    68 const int output_height = ArraySize(output_dims, 2);
    +
    69 const int output_width = ArraySize(output_dims, 1);
    +
    70 const int output_depth = ArraySize(output_dims, 0);
    71
    72 const int left_b_padding = left_paddings[3];
    73 const int left_h_padding = left_paddings[2];
    @@ -180,7 +180,7 @@
    79 const int right_w_padding = right_paddings[1];
    80 const int right_d_padding = right_paddings[0];
    81
    -
    82 const int input_depth = ArraySize(input_dims, 0);
    +
    82 const int input_depth = ArraySize(input_dims, 0);
    83
    84 if (left_b_padding != 0)
    85 {
    @@ -191,35 +191,35 @@
    90 {
    91 if (left_h_padding != 0)
    92 {
    -
    93 memset(output_data + Offset(output_dims, 0, 0, 0, out_b), 0,
    +
    93 memset(output_data + Offset(output_dims, 0, 0, 0, out_b), 0,
    94 left_h_padding * output_width * output_depth * sizeof(T));
    95 }
    96 for (int out_h = left_h_padding; out_h < output_height - right_h_padding; ++out_h)
    97 {
    98 if (left_w_padding != 0)
    99 {
    -
    100 memset(output_data + Offset(output_dims, 0, 0, out_h, out_b), 0,
    +
    100 memset(output_data + Offset(output_dims, 0, 0, out_h, out_b), 0,
    101 left_w_padding * output_depth * sizeof(T));
    102 }
    103 for (int out_w = left_w_padding; out_w < output_width - right_w_padding; ++out_w)
    104 {
    105 if (left_d_padding != 0)
    106 {
    -
    107 memset(output_data + Offset(output_dims, 0, out_w, out_h, out_b), 0,
    +
    107 memset(output_data + Offset(output_dims, 0, out_w, out_h, out_b), 0,
    108 left_d_padding * sizeof(T));
    109 }
    110
    111 T* out = output_data +
    -
    112 Offset(output_dims, left_d_padding, out_w, out_h, out_b);
    +
    112 Offset(output_dims, left_d_padding, out_w, out_h, out_b);
    113 const T* in =
    -
    114 input_data + Offset(input_dims, 0, out_w - left_w_padding,
    +
    114 input_data + Offset(input_dims, 0, out_w - left_w_padding,
    115 out_h - left_h_padding, out_b - left_b_padding);
    116 memcpy(out, in, input_depth * sizeof(T));
    117
    118 if (right_d_padding != 0)
    119 {
    120 memset(
    -
    121 output_data + Offset(output_dims, output_depth - right_d_padding,
    +
    121 output_data + Offset(output_dims, output_depth - right_d_padding,
    122 out_w, out_h, out_b),
    123 0, right_d_padding * sizeof(T));
    124 }
    @@ -227,14 +227,14 @@
    126 if (right_w_padding != 0)
    127 {
    128 memset(
    -
    129 output_data + Offset(output_dims, 0, output_width - right_w_padding,
    +
    129 output_data + Offset(output_dims, 0, output_width - right_w_padding,
    130 out_h, out_b),
    131 0, right_w_padding * output_depth * sizeof(T));
    132 }
    133 }
    134 if (right_h_padding != 0)
    135 {
    -
    136 memset(output_data + Offset(output_dims, 0, 0,
    +
    136 memset(output_data + Offset(output_dims, 0, 0,
    137 output_height - right_h_padding, out_b),
    138 0, right_h_padding * output_width * output_depth * sizeof(T));
    139 }
    @@ -242,7 +242,7 @@
    141 if (right_b_padding != 0)
    142 {
    143 memset(output_data +
    -
    144 Offset(output_dims, 0, 0, 0, output_batch - right_b_padding),
    +
    144 Offset(output_dims, 0, 0, 0, output_batch - right_b_padding),
    145 0,
    146 right_b_padding * output_height * output_width * output_depth *
    147 sizeof(T));
    @@ -269,18 +269,18 @@
    167 if (inputShape.type == OperandType::TENSOR_FLOAT32)
    168 {
    169 ::Pad(reinterpret_cast<const float*>(inputData),
    -
    170 convertShapeToDims(inputShape),
    +
    170 convertShapeToDims(inputShape),
    171 beforePadding, afterPadding,
    172 reinterpret_cast<float*>(outputData),
    -
    173 convertShapeToDims(outputShape));
    +
    173 convertShapeToDims(outputShape));
    174 }
    175 else if (inputShape.type == OperandType::TENSOR_QUANT8_ASYMM)
    176 {
    177 ::Pad(reinterpret_cast<const uint8_t*>(inputData),
    -
    178 convertShapeToDims(inputShape),
    +
    178 convertShapeToDims(inputShape),
    179 beforePadding, afterPadding,
    180 reinterpret_cast<uint8_t*>(outputData),
    -
    181 convertShapeToDims(outputShape));
    +
    181 convertShapeToDims(outputShape));
    182 }
    183 else
    184 {
    @@ -290,21 +290,21 @@
    188 return true;
    189}
    - -
    int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
    Definition Dims.h:64
    -
    int ArraySize(const Dims< N > &array, int index)
    Definition Dims.h:76
    -
    Dims< 4 > convertShapeToDims(const Shape &shape)
    Definition Dims.h:31
    + +
    int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
    Definition Dims.h:64
    +
    int ArraySize(const Dims< N > &array, int index)
    Definition Dims.h:76
    +
    Dims< 4 > convertShapeToDims(const Shape &shape)
    Definition Dims.h:31
    +
    #define ASSERT(v)
    Definition Assert.h:24
    #define LOG(...)
    Definition Logging.h:36
    uint32_t getSizeOfDimension(const Shape &shape, uint32_t dimensionIdx)
    Definition Shape.cpp:60
    uint32_t getNumberOfDimensions(const Shape &shape)
    Definition Shape.cpp:58
    -
    #define ASSERT(v)
    Definition Assert.h:24
    bool padGeneric(const uint8_t *inputData, const Shape &inputShape, const int32_t *paddings, uint8_t *outputData, const Shape &outputShape)
    Definition Pad.cpp:153
    bool padPrepare(const Shape &input, const int32_t *paddingsData, const Shape &paddingsShape, Shape *output)
    Definition Pad.cpp:28
    void Pad(const int32_t *padding_data, int32_t pad_rank, const Shape &input_shape, const T *input_data, const Shape &output_shape, T *output_data, const T *constant_value_data)
    Definition Pad.h:30
    -
    Definition Dims.h:26
    +
    Definition Dims.h:26
    Definition Shape.h:28
    OperandType type
    Definition Shape.h:29
    diff --git a/compiler_2ann-ref_2src_2ops_2_pad_8h.html b/compiler_2ann-ref_2src_2ops_2_pad_8h.html index 8cf81a0b846..0aa835f0e7f 100644 --- a/compiler_2ann-ref_2src_2ops_2_pad_8h.html +++ b/compiler_2ann-ref_2src_2ops_2_pad_8h.html @@ -167,18 +167,18 @@

    167 if (inputShape.type == OperandType::TENSOR_FLOAT32)
    168 {
    169 ::Pad(reinterpret_cast<const float*>(inputData),
    -
    170 convertShapeToDims(inputShape),
    +
    170 convertShapeToDims(inputShape),
    171 beforePadding, afterPadding,
    172 reinterpret_cast<float*>(outputData),
    -
    173 convertShapeToDims(outputShape));
    +
    173 convertShapeToDims(outputShape));
    174 }
    175 else if (inputShape.type == OperandType::TENSOR_QUANT8_ASYMM)
    176 {
    177 ::Pad(reinterpret_cast<const uint8_t*>(inputData),
    -
    178 convertShapeToDims(inputShape),
    +
    178 convertShapeToDims(inputShape),
    179 beforePadding, afterPadding,
    180 reinterpret_cast<uint8_t*>(outputData),
    -
    181 convertShapeToDims(outputShape));
    +
    181 convertShapeToDims(outputShape));
    182 }
    183 else
    184 {
    @@ -187,12 +187,12 @@

    187 }
    188 return true;
    189}
    -
    Dims< 4 > convertShapeToDims(const Shape &shape)
    Definition Dims.h:31
    +
    Dims< 4 > convertShapeToDims(const Shape &shape)
    Definition Dims.h:31
    #define LOG(...)
    Definition Logging.h:36
    uint32_t getNumberOfDimensions(const Shape &shape)
    Definition Shape.cpp:58
    OperandType type
    Definition Shape.h:29
    -

    References convertShapeToDims(), getNumberOfDimensions(), LOG, and Shape::type.

    +

    References convertShapeToDims(), getNumberOfDimensions(), LOG, and Shape::type.

    @@ -238,13 +238,13 @@

    30{
    31 // Currently only 4D tensors are supported.
    -
    33 ASSERT(numInputDims == 4);
    +
    33 ASSERT(numInputDims == 4);
    34
    35 // paddings need to be provided as a 2-D int32 tensor.
    -
    36 ASSERT(paddingsShape.type == OperandType::TENSOR_INT32);
    -
    37 ASSERT(getNumberOfDimensions(paddingsShape) == 2);
    -
    38 ASSERT(getSizeOfDimension(paddingsShape, 0) == numInputDims);
    -
    39 ASSERT(getSizeOfDimension(paddingsShape, 1) == 2);
    +
    36 ASSERT(paddingsShape.type == OperandType::TENSOR_INT32);
    +
    37 ASSERT(getNumberOfDimensions(paddingsShape) == 2);
    +
    38 ASSERT(getSizeOfDimension(paddingsShape, 0) == numInputDims);
    +
    39 ASSERT(getSizeOfDimension(paddingsShape, 1) == 2);
    40
    41 std::vector<uint32_t> outDims(numInputDims);
    42 for (uint32_t i = 0; i < numInputDims; ++i)
    @@ -252,7 +252,7 @@

    44 int32_t beforePadding = *paddingsData++;
    45 int32_t afterPadding = *paddingsData++;
    46 // Pad value has to be greater than equal to 0.
    -
    47 ASSERT(beforePadding >= 0 && afterPadding >= 0);
    +
    47 ASSERT(beforePadding >= 0 && afterPadding >= 0);
    48 outDims[i] = beforePadding + getSizeOfDimension(input, i) + afterPadding;
    49 }
    50 output->type = input.type;
    @@ -262,12 +262,12 @@

    54
    55 return true;
    56}
    +
    #define ASSERT(v)
    Definition Assert.h:24
    uint32_t getSizeOfDimension(const Shape &shape, uint32_t dimensionIdx)
    Definition Shape.cpp:60
    -
    #define ASSERT(v)
    Definition Assert.h:24
    -

    References ASSERT, getNumberOfDimensions(), getSizeOfDimension(), and Shape::type.

    +

    References ASSERT, getNumberOfDimensions(), getSizeOfDimension(), and Shape::type.

    diff --git a/compiler_2ann-ref_2src_2ops_2_reshape_8cpp.html b/compiler_2ann-ref_2src_2ops_2_reshape_8cpp.html index d3e30b6d8d6..3735061043b 100644 --- a/compiler_2ann-ref_2src_2ops_2_reshape_8cpp.html +++ b/compiler_2ann-ref_2src_2ops_2_reshape_8cpp.html @@ -215,7 +215,7 @@

    38 int32_t value = targetDims[i];
    39 if (value == -1)
    40 {
    -
    41 ASSERT(strechDim == -1);
    +
    41 ASSERT(strechDim == -1);
    42 strechDim = i;
    43 }
    44 else
    @@ -231,7 +231,7 @@

    54 numOutputElements *= strechValue;
    55 }
    56
    -
    57 ASSERT(numInputElements == numOutputElements);
    +
    57 ASSERT(numInputElements == numOutputElements);
    58
    59 output->type = input.type;
    60 output->dimensions = outDims;
    @@ -240,12 +240,12 @@

    63
    64 return true;
    65}
    +
    #define ASSERT(v)
    Definition Assert.h:24
    uint32_t getNumberOfElements(const Shape &shape)
    Definition Shape.cpp:48
    -
    #define ASSERT(v)
    Definition Assert.h:24
    -

    References ASSERT, and getNumberOfElements().

    +

    References ASSERT, and getNumberOfElements().

    diff --git a/compiler_2ann-ref_2src_2ops_2_reshape_8cpp_source.html b/compiler_2ann-ref_2src_2ops_2_reshape_8cpp_source.html index a494da52cf5..8eb50d1b487 100644 --- a/compiler_2ann-ref_2src_2ops_2_reshape_8cpp_source.html +++ b/compiler_2ann-ref_2src_2ops_2_reshape_8cpp_source.html @@ -138,7 +138,7 @@
    38 int32_t value = targetDims[i];
    39 if (value == -1)
    40 {
    -
    41 ASSERT(strechDim == -1);
    +
    41 ASSERT(strechDim == -1);
    42 strechDim = i;
    43 }
    44 else
    @@ -154,7 +154,7 @@
    54 numOutputElements *= strechValue;
    55 }
    56
    -
    57 ASSERT(numInputElements == numOutputElements);
    +
    57 ASSERT(numInputElements == numOutputElements);
    58
    59 output->type = input.type;
    60 output->dimensions = outDims;
    @@ -174,9 +174,9 @@
    72 return true;
    73}
    +
    #define ASSERT(v)
    Definition Assert.h:24
    uint32_t sizeOfData(const Operand &operand)
    Definition Operand.h:56
    uint32_t getNumberOfElements(const Shape &shape)
    Definition Shape.cpp:48
    -
    #define ASSERT(v)
    Definition Assert.h:24
    bool reshapeGeneric(const void *inputData, const Shape &inputShape, void *outputData, const Shape &outputShape)
    Definition Reshape.cpp:67
    bool reshapePrepare(const Shape &input, const int32_t *targetDims, const int32_t targetDimsSize, Shape *output)
    Definition Reshape.cpp:24
    diff --git a/compiler_2ann-ref_2src_2ops_2_reshape_8h.html b/compiler_2ann-ref_2src_2ops_2_reshape_8h.html index 521315037e5..4bc1eea1676 100644 --- a/compiler_2ann-ref_2src_2ops_2_reshape_8h.html +++ b/compiler_2ann-ref_2src_2ops_2_reshape_8h.html @@ -213,7 +213,7 @@

    38 int32_t value = targetDims[i];
    39 if (value == -1)
    40 {
    -
    41 ASSERT(strechDim == -1);
    +
    41 ASSERT(strechDim == -1);
    42 strechDim = i;
    43 }
    44 else
    @@ -229,7 +229,7 @@

    54 numOutputElements *= strechValue;
    55 }
    56
    -
    57 ASSERT(numInputElements == numOutputElements);
    +
    57 ASSERT(numInputElements == numOutputElements);
    58
    59 output->type = input.type;
    60 output->dimensions = outDims;
    @@ -238,12 +238,12 @@

    63
    64 return true;
    65}
    +
    #define ASSERT(v)
    Definition Assert.h:24
    uint32_t getNumberOfElements(const Shape &shape)
    Definition Shape.cpp:48
    -
    #define ASSERT(v)
    Definition Assert.h:24
    -

    References ASSERT, and getNumberOfElements().

    +

    References ASSERT, and getNumberOfElements().

    diff --git a/compiler_2ann-ref_2src_2ops_2_sub_8cpp.html b/compiler_2ann-ref_2src_2ops_2_sub_8cpp.html index 43ca9a1acc2..d5806f7ac83 100644 --- a/compiler_2ann-ref_2src_2ops_2_sub_8cpp.html +++ b/compiler_2ann-ref_2src_2ops_2_sub_8cpp.html @@ -139,8 +139,8 @@

    Definition at line 21 of file Sub.cpp.

    22{
    - -
    24 ASSERT(in1.type == in2.type);
    + +
    24 ASSERT(in1.type == in2.type);
    25 if (SameShape(in1, in2))
    26 {
    27 return SetShape(in1, out);
    @@ -174,16 +174,16 @@

    55 }

    56 return true;
    57}
    +
    #define ASSERT(v)
    Definition Assert.h:24
    #define LOG(...)
    Definition Logging.h:36
    bool SetShape(const Shape &in, Shape *out)
    Definition Shape.cpp:38
    uint32_t getSizeOfDimension(const Shape &shape, uint32_t dimensionIdx)
    Definition Shape.cpp:60
    bool SameShape(const Shape &in1, const Shape &in2)
    Definition Shape.cpp:22
    uint32_t getNumberOfDimensions(const Shape &shape)
    Definition Shape.cpp:58
    -
    #define ASSERT(v)
    Definition Assert.h:24
    OperandType type
    Definition Shape.h:29
    std::vector< uint32_t > dimensions
    Definition Shape.h:30
    -

    References ASSERT, Shape::dimensions, getNumberOfDimensions(), getSizeOfDimension(), LOG, SameShape(), SetShape(), and Shape::type.

    +

    References ASSERT, Shape::dimensions, getNumberOfDimensions(), getSizeOfDimension(), LOG, SameShape(), SetShape(), and Shape::type.

    diff --git a/compiler_2ann-ref_2src_2ops_2_sub_8cpp_source.html b/compiler_2ann-ref_2src_2ops_2_sub_8cpp_source.html index e67fd604fc8..50756831faa 100644 --- a/compiler_2ann-ref_2src_2ops_2_sub_8cpp_source.html +++ b/compiler_2ann-ref_2src_2ops_2_sub_8cpp_source.html @@ -120,8 +120,8 @@
    21bool subPrepare(const Shape &in1, const Shape &in2, Shape *out)
    22{
    - -
    24 ASSERT(in1.type == in2.type);
    + +
    24 ASSERT(in1.type == in2.type);
    25 if (SameShape(in1, in2))
    26 {
    27 return SetShape(in1, out);
    @@ -156,12 +156,12 @@
    56 return true;
    57}
    +
    #define ASSERT(v)
    Definition Assert.h:24
    #define LOG(...)
    Definition Logging.h:36
    bool SetShape(const Shape &in, Shape *out)
    Definition Shape.cpp:38
    uint32_t getSizeOfDimension(const Shape &shape, uint32_t dimensionIdx)
    Definition Shape.cpp:60
    bool SameShape(const Shape &in1, const Shape &in2)
    Definition Shape.cpp:22
    uint32_t getNumberOfDimensions(const Shape &shape)
    Definition Shape.cpp:58
    -
    #define ASSERT(v)
    Definition Assert.h:24
    bool subPrepare(const Shape &in1, const Shape &in2, Shape *out)
    Definition Sub.cpp:21
    Definition Shape.h:28
    OperandType type
    Definition Shape.h:29
    diff --git a/compiler_2ann-ref_2src_2ops_2internal_2_array_8h.html b/compiler_2ann-ref_2src_2ops_2internal_2_array_8h.html index 1f05184270a..4f097da8cb0 100644 --- a/compiler_2ann-ref_2src_2ops_2internal_2_array_8h.html +++ b/compiler_2ann-ref_2src_2ops_2internal_2_array_8h.html @@ -95,7 +95,7 @@
    #include "Shape.h"
    -#include "Dims.h"
    +#include "Dims.h"
    #include "Macro.h"

    Go to the source code of this file.

    @@ -152,13 +152,13 @@

    Definition at line 31 of file Array.h.

    32{
    -
    33 DCHECK_EQ(ArraySize(array1, index1), ArraySize(array2, index2));
    -
    34 return ArraySize(array1, index1);
    +
    33 DCHECK_EQ(ArraySize(array1, index1), ArraySize(array2, index2));
    +
    34 return ArraySize(array1, index1);
    35}
    -
    int ArraySize(const Dims< N > &array, int index)
    Definition Dims.h:76
    #define DCHECK_EQ(x, y)
    Definition Macro.h:29
    +
    int ArraySize(const Dims< N > &array, int index)
    Definition Dims.h:76
    -

    References ArraySize(), and DCHECK_EQ.

    +

    References ArraySize(), and DCHECK_EQ.

    Referenced by Add(), AveragePool(), Concatenation(), optimized_ops::DepthwiseConv(), Div(), Im2col(), MatchingArraySize(), MaxPool(), Mul(), Softmax(), and Sub().

    @@ -212,13 +212,13 @@

    Definition at line 39 of file Array.h.

    41{
    -
    42 DCHECK_EQ(ArraySize(array1, index1), ArraySize(array2, index2));
    +
    42 DCHECK_EQ(ArraySize(array1, index1), ArraySize(array2, index2));
    43 return MatchingArraySize(array1, index1, args...);
    44}
    int MatchingArraySize(const ArrayType1 &array1, int index1, const ArrayType2 &array2, int index2)
    Definition Array.h:31
    -

    References ArraySize(), DCHECK_EQ, and MatchingArraySize().

    +

    References ArraySize(), DCHECK_EQ, and MatchingArraySize().

    diff --git a/compiler_2ann-ref_2src_2ops_2internal_2_array_8h_source.html b/compiler_2ann-ref_2src_2ops_2internal_2_array_8h_source.html index f24221cf841..b3588128dbf 100644 --- a/compiler_2ann-ref_2src_2ops_2internal_2_array_8h_source.html +++ b/compiler_2ann-ref_2src_2ops_2internal_2_array_8h_source.html @@ -119,7 +119,7 @@
    20#define __ARRAY_H__
    21
    22#include "Shape.h"
    -
    23#include "Dims.h"
    +
    23#include "Dims.h"
    24
    25#include "Macro.h"
    26
    @@ -130,8 +130,8 @@
    31int MatchingArraySize(const ArrayType1 &array1, int index1, const ArrayType2 &array2, int index2)
    32{
    -
    33 DCHECK_EQ(ArraySize(array1, index1), ArraySize(array2, index2));
    -
    34 return ArraySize(array1, index1);
    +
    33 DCHECK_EQ(ArraySize(array1, index1), ArraySize(array2, index2));
    +
    34 return ArraySize(array1, index1);
    35}
    36
    @@ -141,17 +141,17 @@
    39int MatchingArraySize(const ArrayType1 &array1, int index1, const ArrayType2 &array2, int index2,
    40 Args... args)
    41{
    -
    42 DCHECK_EQ(ArraySize(array1, index1), ArraySize(array2, index2));
    +
    42 DCHECK_EQ(ArraySize(array1, index1), ArraySize(array2, index2));
    43 return MatchingArraySize(array1, index1, args...);
    44}
    45
    46#endif // __ARRAY_H__
    -
    int ArraySize(const Dims< N > &array, int index)
    Definition Dims.h:76
    #define DCHECK_EQ(x, y)
    Definition Macro.h:29
    +
    int ArraySize(const Dims< N > &array, int index)
    Definition Dims.h:76
    int MatchingArraySize(const ArrayType1 &array1, int index1, const ArrayType2 &array2, int index2)
    Definition Array.h:31
    - + diff --git a/compiler_2ann-ref_2src_2ops_2internal_2_elementwise_8h.html b/compiler_2ann-ref_2src_2ops_2internal_2_elementwise_8h.html index bb39c1bbc33..9a6b728c954 100644 --- a/compiler_2ann-ref_2src_2ops_2internal_2_elementwise_8h.html +++ b/compiler_2ann-ref_2src_2ops_2internal_2_elementwise_8h.html @@ -132,14 +132,14 @@

    Definition at line 21 of file Elementwise.cpp.

    22{
    -
    23 ASSERT(getNumberOfDimensions(input) <= 4);
    +
    23 ASSERT(getNumberOfDimensions(input) <= 4);
    24 return SetShape(input, output);
    25}
    +
    #define ASSERT(v)
    Definition Assert.h:24
    bool SetShape(const Shape &in, Shape *out)
    Definition Shape.cpp:38
    uint32_t getNumberOfDimensions(const Shape &shape)
    Definition Shape.cpp:58
    -
    #define ASSERT(v)
    Definition Assert.h:24
    -

    References ASSERT, getNumberOfDimensions(), and SetShape().

    +

    References ASSERT, getNumberOfDimensions(), and SetShape().

    Referenced by relu6Prepare(), reluPrepare(), and softmaxPrepare().

    diff --git a/compiler_2caffegen_2src_2driver_8cpp.html b/compiler_2caffegen_2src_2_driver_8cpp.html similarity index 93% rename from compiler_2caffegen_2src_2driver_8cpp.html rename to compiler_2caffegen_2src_2_driver_8cpp.html index 628f0ea4367..068f11208d9 100644 --- a/compiler_2caffegen_2src_2driver_8cpp.html +++ b/compiler_2caffegen_2src_2_driver_8cpp.html @@ -63,7 +63,7 @@
    @@ -103,11 +103,11 @@ #include <map>
    #include <string>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    - +

    Functions

    int main (int argc, char **argv)
    int main (int argc, char **argv)
     

    Function Documentation

    @@ -137,7 +137,7 @@

    -

    Definition at line 30 of file Driver.cpp.

    +

    Definition at line 30 of file Driver.cpp.

    31{
    32 cli::App app{argv[0]};
    33
    @@ -160,7 +160,7 @@

    diff --git a/compiler_2caffegen_2src_2_driver_8cpp.js b/compiler_2caffegen_2src_2_driver_8cpp.js new file mode 100644 index 00000000000..33ed6320f8b --- /dev/null +++ b/compiler_2caffegen_2src_2_driver_8cpp.js @@ -0,0 +1,4 @@ +var compiler_2caffegen_2src_2_driver_8cpp = +[ + [ "main", "compiler_2caffegen_2src_2_driver_8cpp.html#a3c04138a5bfe5d72780bb7e82a18e627", null ] +]; \ No newline at end of file diff --git a/compiler_2caffegen_2src_2driver_8cpp_source.html b/compiler_2caffegen_2src_2_driver_8cpp_source.html similarity index 91% rename from compiler_2caffegen_2src_2driver_8cpp_source.html rename to compiler_2caffegen_2src_2_driver_8cpp_source.html index 06b23bdbbc0..a2381b24e5a 100644 --- a/compiler_2caffegen_2src_2driver_8cpp_source.html +++ b/compiler_2caffegen_2src_2_driver_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Driver.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -127,7 +127,7 @@
    28using std::make_unique;
    29
    -
    30int main(int argc, char **argv)
    +
    30int main(int argc, char **argv)
    31{
    32 cli::App app{argv[0]};
    33
    @@ -147,13 +147,13 @@
    Definition App.h:30
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/compiler_2caffegen_2src_2driver_8cpp.js b/compiler_2caffegen_2src_2driver_8cpp.js deleted file mode 100644 index e2693821ae9..00000000000 --- a/compiler_2caffegen_2src_2driver_8cpp.js +++ /dev/null @@ -1,4 +0,0 @@ -var compiler_2caffegen_2src_2driver_8cpp = -[ - [ "main", "compiler_2caffegen_2src_2driver_8cpp.html#a3c04138a5bfe5d72780bb7e82a18e627", null ] -]; \ No newline at end of file diff --git a/compiler_2circle-eval-diff_2driver_2driver_8cpp.html b/compiler_2circle-eval-diff_2driver_2_driver_8cpp.html similarity index 98% rename from compiler_2circle-eval-diff_2driver_2driver_8cpp.html rename to compiler_2circle-eval-diff_2driver_2_driver_8cpp.html index 5dbf9f1ae03..fa24cb89a50 100644 --- a/compiler_2circle-eval-diff_2driver_2driver_8cpp.html +++ b/compiler_2circle-eval-diff_2driver_2_driver_8cpp.html @@ -63,7 +63,7 @@
    @@ -98,11 +98,11 @@ #include <arser/arser.h>
    #include <vconone/vconone.h>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    - +

    Functions

    int entry (const int argc, char **argv)
    int entry (const int argc, char **argv)
     

    Function Documentation

    @@ -132,7 +132,7 @@

    -

    Definition at line 53 of file Driver.cpp.

    +

    Definition at line 53 of file Driver.cpp.

    54{
    55 arser::Arser arser("Compare inference results of two circle models");
    56
    @@ -282,7 +282,7 @@

    diff --git a/compiler_2circle-eval-diff_2driver_2_driver_8cpp.js b/compiler_2circle-eval-diff_2driver_2_driver_8cpp.js new file mode 100644 index 00000000000..8c8824a44c5 --- /dev/null +++ b/compiler_2circle-eval-diff_2driver_2_driver_8cpp.js @@ -0,0 +1,4 @@ +var compiler_2circle_eval_diff_2driver_2_driver_8cpp = +[ + [ "entry", "compiler_2circle-eval-diff_2driver_2_driver_8cpp.html#ad0f47bc81bc604e8bc1d169d370f2000", null ] +]; \ No newline at end of file diff --git a/compiler_2circle-eval-diff_2driver_2driver_8cpp_source.html b/compiler_2circle-eval-diff_2driver_2_driver_8cpp_source.html similarity index 97% rename from compiler_2circle-eval-diff_2driver_2driver_8cpp_source.html rename to compiler_2circle-eval-diff_2driver_2_driver_8cpp_source.html index 06c59cbdca3..142552cf10c 100644 --- a/compiler_2circle-eval-diff_2driver_2driver_8cpp_source.html +++ b/compiler_2circle-eval-diff_2driver_2_driver_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Driver.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2022 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -150,7 +150,7 @@
    51} // namespace
    52
    -
    53int entry(const int argc, char **argv)
    +
    53int entry(const int argc, char **argv)
    54{
    55 arser::Arser arser("Compare inference results of two circle models");
    56
    @@ -292,7 +292,7 @@ -
    int entry(const int argc, char **argv)
    Definition Driver.cpp:53
    +
    int entry(const int argc, char **argv)
    Definition Driver.cpp:53
    Definition arser.h:38
    @@ -306,7 +306,7 @@ diff --git a/compiler_2circle-eval-diff_2driver_2driver_8cpp.js b/compiler_2circle-eval-diff_2driver_2driver_8cpp.js deleted file mode 100644 index 7e8832f299f..00000000000 --- a/compiler_2circle-eval-diff_2driver_2driver_8cpp.js +++ /dev/null @@ -1,4 +0,0 @@ -var compiler_2circle_eval_diff_2driver_2driver_8cpp = -[ - [ "entry", "compiler_2circle-eval-diff_2driver_2driver_8cpp.html#ad0f47bc81bc604e8bc1d169d370f2000", null ] -]; \ No newline at end of file diff --git a/compiler_2circle-inspect_2driver_2driver_8cpp.html b/compiler_2circle-inspect_2driver_2_driver_8cpp.html similarity index 96% rename from compiler_2circle-inspect_2driver_2driver_8cpp.html rename to compiler_2circle-inspect_2driver_2_driver_8cpp.html index e2dbc95941d..bfe427fd95e 100644 --- a/compiler_2circle-inspect_2driver_2driver_8cpp.html +++ b/compiler_2circle-inspect_2driver_2_driver_8cpp.html @@ -63,7 +63,7 @@
    @@ -104,11 +104,11 @@ #include <vector>
    #include <string>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    - +

    Functions

    int entry (int argc, char **argv)
    int entry (int argc, char **argv)
     

    Function Documentation

    @@ -138,7 +138,7 @@

    -

    Definition at line 29 of file Driver.cpp.

    +

    Definition at line 29 of file Driver.cpp.

    30{
    32 "circle-inspect allows users to retrieve various information from a Circle model file"};
    @@ -210,7 +210,7 @@

    References dump(), and foder::FileLoader::load().

    -

    Referenced by main().

    +

    Referenced by main().

    @@ -219,7 +219,7 @@

    diff --git a/compiler_2circle-inspect_2driver_2_driver_8cpp.js b/compiler_2circle-inspect_2driver_2_driver_8cpp.js new file mode 100644 index 00000000000..ccd48da0cc6 --- /dev/null +++ b/compiler_2circle-inspect_2driver_2_driver_8cpp.js @@ -0,0 +1,4 @@ +var compiler_2circle_inspect_2driver_2_driver_8cpp = +[ + [ "entry", "compiler_2circle-inspect_2driver_2_driver_8cpp.html#a0bd2da0b208d77121c01ef3a7e7ae198", null ] +]; \ No newline at end of file diff --git a/compiler_2circle-inspect_2driver_2driver_8cpp_source.html b/compiler_2circle-inspect_2driver_2_driver_8cpp_source.html similarity index 94% rename from compiler_2circle-inspect_2driver_2driver_8cpp_source.html rename to compiler_2circle-inspect_2driver_2_driver_8cpp_source.html index 4c695977a41..d5eef834575 100644 --- a/compiler_2circle-inspect_2driver_2driver_8cpp_source.html +++ b/compiler_2circle-inspect_2driver_2_driver_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Driver.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -126,7 +126,7 @@
    27#include <string>
    28
    -
    29int entry(int argc, char **argv)
    +
    29int entry(int argc, char **argv)
    30{
    32 "circle-inspect allows users to retrieve various information from a Circle model file"};
    @@ -196,7 +196,7 @@
    DataBuffer load(void) const
    Definition FileLoader.h:39
    -
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    +
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    void dump(const coco::Op *op, int indent)
    Definition Dump.cpp:177
    Definition arser.h:38
    @@ -204,7 +204,7 @@ diff --git a/compiler_2circle-inspect_2driver_2driver_8cpp.js b/compiler_2circle-inspect_2driver_2driver_8cpp.js deleted file mode 100644 index f3869836183..00000000000 --- a/compiler_2circle-inspect_2driver_2driver_8cpp.js +++ /dev/null @@ -1,4 +0,0 @@ -var compiler_2circle_inspect_2driver_2driver_8cpp = -[ - [ "entry", "compiler_2circle-inspect_2driver_2driver_8cpp.html#a0bd2da0b208d77121c01ef3a7e7ae198", null ] -]; \ No newline at end of file diff --git a/compiler_2circle-operator_2driver_2driver_8cpp.html b/compiler_2circle-operator_2driver_2_driver_8cpp.html similarity index 92% rename from compiler_2circle-operator_2driver_2driver_8cpp.html rename to compiler_2circle-operator_2driver_2_driver_8cpp.html index 87b6fb081ff..7ba4c4ca00b 100644 --- a/compiler_2circle-operator_2driver_2driver_8cpp.html +++ b/compiler_2circle-operator_2driver_2_driver_8cpp.html @@ -63,7 +63,7 @@
    @@ -106,13 +106,13 @@ #include <string>
    #include <signal.h>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    - + - +

    Functions

    void handle_segfault (int signal, siginfo_t *si, void *arg)
    void handle_segfault (int signal, siginfo_t *si, void *arg)
     
    int entry (int argc, char **argv)
    int entry (int argc, char **argv)
     

    Function Documentation

    @@ -142,7 +142,7 @@

    -

    Definition at line 38 of file Driver.cpp.

    +

    Definition at line 38 of file Driver.cpp.

    39{
    40 // TODO add option to dump for all sub-graphs
    @@ -185,7 +185,7 @@

    78 struct sigaction sa;

    79 memset(&sa, 0, sizeof(struct sigaction));
    80 sigemptyset(&sa.sa_mask);
    -
    +
    81 sa.sa_sigaction = handle_segfault;
    82 sa.sa_flags = SA_SIGINFO;
    83 sigaction(SIGSEGV, &sa, NULL);
    84
    @@ -222,7 +222,7 @@

    void run(std::ostream &os, const circle::Model *model, const DumpOption &option)
    Definition Dump.cpp:70

    DataBuffer load(void) const
    Definition FileLoader.h:39
    -
    void handle_segfault(int signal, siginfo_t *si, void *arg)
    Definition Driver.cpp:32
    +
    void handle_segfault(int signal, siginfo_t *si, void *arg)
    Definition Driver.cpp:32
    void dump(const coco::Op *op, int indent)
    Definition Dump.cpp:177
    Definition arser.h:38
    @@ -230,7 +230,7 @@

    bool names
    Definition Dump.h:29
    -

    References cirops::DumpOption::codes, dump(), handle_segfault(), foder::FileLoader::load(), cirops::DumpOption::names, and cirops::DumpOperators::run().

    +

    References cirops::DumpOption::codes, dump(), handle_segfault(), foder::FileLoader::load(), cirops::DumpOption::names, and cirops::DumpOperators::run().

    @@ -266,13 +266,13 @@

    -

    Definition at line 32 of file Driver.cpp.

    +

    Definition at line 32 of file Driver.cpp.

    33{
    34 std::cerr << "ERROR: Failed to load file" << std::endl;
    35 exit(255);
    36}
    -

    Referenced by entry().

    +

    Referenced by entry().

    @@ -281,7 +281,7 @@

    diff --git a/compiler_2circle-operator_2driver_2_driver_8cpp.js b/compiler_2circle-operator_2driver_2_driver_8cpp.js new file mode 100644 index 00000000000..3e70c7adc43 --- /dev/null +++ b/compiler_2circle-operator_2driver_2_driver_8cpp.js @@ -0,0 +1,5 @@ +var compiler_2circle_operator_2driver_2_driver_8cpp = +[ + [ "entry", "compiler_2circle-operator_2driver_2_driver_8cpp.html#a0bd2da0b208d77121c01ef3a7e7ae198", null ], + [ "handle_segfault", "compiler_2circle-operator_2driver_2_driver_8cpp.html#a762d7247c7fdc25d8df830c47b046233", null ] +]; \ No newline at end of file diff --git a/compiler_2circle-operator_2driver_2driver_8cpp_source.html b/compiler_2circle-operator_2driver_2_driver_8cpp_source.html similarity index 92% rename from compiler_2circle-operator_2driver_2driver_8cpp_source.html rename to compiler_2circle-operator_2driver_2_driver_8cpp_source.html index 5e91a36e8b4..e9b218517d1 100644 --- a/compiler_2circle-operator_2driver_2driver_8cpp_source.html +++ b/compiler_2circle-operator_2driver_2_driver_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Driver.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2022 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -129,7 +129,7 @@
    30#include <signal.h>
    31
    -
    32void handle_segfault(int signal, siginfo_t *si, void *arg)
    +
    32void handle_segfault(int signal, siginfo_t *si, void *arg)
    33{
    34 std::cerr << "ERROR: Failed to load file" << std::endl;
    35 exit(255);
    @@ -137,7 +137,7 @@
    37
    -
    38int entry(int argc, char **argv)
    +
    38int entry(int argc, char **argv)
    39{
    40 // TODO add option to dump for all sub-graphs
    @@ -180,7 +180,7 @@
    78 struct sigaction sa;
    79 memset(&sa, 0, sizeof(struct sigaction));
    80 sigemptyset(&sa.sa_mask);
    -
    81 sa.sa_sigaction = handle_segfault;
    +
    81 sa.sa_sigaction = handle_segfault;
    82 sa.sa_flags = SA_SIGINFO;
    83 sigaction(SIGSEGV, &sa, NULL);
    84
    @@ -221,8 +221,8 @@
    void run(std::ostream &os, const circle::Model *model, const DumpOption &option)
    Definition Dump.cpp:70
    DataBuffer load(void) const
    Definition FileLoader.h:39
    -
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    -
    void handle_segfault(int signal, siginfo_t *si, void *arg)
    Definition Driver.cpp:32
    +
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    +
    void handle_segfault(int signal, siginfo_t *si, void *arg)
    Definition Driver.cpp:32
    void dump(const coco::Op *op, int indent)
    Definition Dump.cpp:177
    Definition arser.h:38
    @@ -233,7 +233,7 @@ diff --git a/compiler_2circle-operator_2driver_2driver_8cpp.js b/compiler_2circle-operator_2driver_2driver_8cpp.js deleted file mode 100644 index beb19d92aa8..00000000000 --- a/compiler_2circle-operator_2driver_2driver_8cpp.js +++ /dev/null @@ -1,5 +0,0 @@ -var compiler_2circle_operator_2driver_2driver_8cpp = -[ - [ "entry", "compiler_2circle-operator_2driver_2driver_8cpp.html#a0bd2da0b208d77121c01ef3a7e7ae198", null ], - [ "handle_segfault", "compiler_2circle-operator_2driver_2driver_8cpp.html#a762d7247c7fdc25d8df830c47b046233", null ] -]; \ No newline at end of file diff --git a/compiler_2circle-opselector_2driver_2driver_8cpp.html b/compiler_2circle-opselector_2driver_2_driver_8cpp.html similarity index 93% rename from compiler_2circle-opselector_2driver_2driver_8cpp.html rename to compiler_2circle-opselector_2driver_2_driver_8cpp.html index f2a867d212d..53f4d1ee425 100644 --- a/compiler_2circle-opselector_2driver_2driver_8cpp.html +++ b/compiler_2circle-opselector_2driver_2_driver_8cpp.html @@ -63,7 +63,7 @@
    @@ -109,13 +109,13 @@ #include <numeric>
    #include <sstream>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    - + - +

    Functions

    void print_version (void)
    void print_version (void)
     
    int entry (int argc, char **argv)
    int entry (int argc, char **argv)
     

    Function Documentation

    @@ -145,13 +145,13 @@

    -

    Definition at line 41 of file Driver.cpp.

    +

    Definition at line 41 of file Driver.cpp.

    42{
    43 // TODO Add new option names!
    44
    45 arser::Arser arser("circle-opselector provides selecting operations in circle model");
    46
    - +
    48
    49 // TODO Add new options!
    50
    @@ -220,7 +220,7 @@

    Definition arser.h:320

    static void add_version(Arser &arser, const std::function< void(void)> &func)
    Definition arser.h:733
    -
    void print_version(void)
    Definition Driver.cpp:35
    +
    void print_version(void)
    Definition Driver.cpp:35
    Definition arser.h:38
    @@ -228,7 +228,7 @@

    bool exportModule(luci::Module *module, std::string &output_path)
    Definition ModuleIO.cpp:57

    -

    References arser::Helper::add_version(), opselector::exportModule(), opselector::ID, opselector::NAME, and print_version().

    +

    References arser::Helper::add_version(), opselector::exportModule(), opselector::ID, opselector::NAME, and print_version().

    @@ -248,7 +248,7 @@

    -

    Definition at line 35 of file Driver.cpp.

    +

    Definition at line 35 of file Driver.cpp.

    36{
    37 std::cout << "circle-opselector version " << vconone::get_string() << std::endl;
    38 std::cout << vconone::get_copyright() << std::endl;
    @@ -258,7 +258,7 @@

    References vconone::get_copyright(), and vconone::get_string().

    -

    Referenced by entry(), and entry().

    +

    Referenced by entry(), and entry().

    @@ -267,7 +267,7 @@

    diff --git a/compiler_2circle-opselector_2driver_2_driver_8cpp.js b/compiler_2circle-opselector_2driver_2_driver_8cpp.js new file mode 100644 index 00000000000..4b17bd28919 --- /dev/null +++ b/compiler_2circle-opselector_2driver_2_driver_8cpp.js @@ -0,0 +1,5 @@ +var compiler_2circle_opselector_2driver_2_driver_8cpp = +[ + [ "entry", "compiler_2circle-opselector_2driver_2_driver_8cpp.html#a0bd2da0b208d77121c01ef3a7e7ae198", null ], + [ "print_version", "compiler_2circle-opselector_2driver_2_driver_8cpp.html#ac6230d495fc909bb61195c45f703d492", null ] +]; \ No newline at end of file diff --git a/compiler_2circle-opselector_2driver_2driver_8cpp_source.html b/compiler_2circle-opselector_2driver_2_driver_8cpp_source.html similarity index 93% rename from compiler_2circle-opselector_2driver_2driver_8cpp_source.html rename to compiler_2circle-opselector_2driver_2_driver_8cpp_source.html index 37674dce1ec..b299a9b1287 100644 --- a/compiler_2circle-opselector_2driver_2driver_8cpp_source.html +++ b/compiler_2circle-opselector_2driver_2_driver_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Driver.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2021 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -132,7 +132,7 @@
    33#include <sstream>
    34
    -
    35void print_version(void)
    +
    35void print_version(void)
    36{
    37 std::cout << "circle-opselector version " << vconone::get_string() << std::endl;
    38 std::cout << vconone::get_copyright() << std::endl;
    @@ -140,13 +140,13 @@
    40
    -
    41int entry(int argc, char **argv)
    +
    41int entry(int argc, char **argv)
    42{
    43 // TODO Add new option names!
    44
    45 arser::Arser arser("circle-opselector provides selecting operations in circle model");
    46
    - +
    48
    49 // TODO Add new options!
    50
    @@ -222,8 +222,8 @@
    static void add_version(Arser &arser, const std::function< void(void)> &func)
    Definition arser.h:733
    -
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    -
    void print_version(void)
    Definition Driver.cpp:35
    +
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    +
    void print_version(void)
    Definition Driver.cpp:35
    Definition arser.h:38
    @@ -236,7 +236,7 @@ diff --git a/compiler_2circle-opselector_2driver_2driver_8cpp.js b/compiler_2circle-opselector_2driver_2driver_8cpp.js deleted file mode 100644 index e1528c297dd..00000000000 --- a/compiler_2circle-opselector_2driver_2driver_8cpp.js +++ /dev/null @@ -1,5 +0,0 @@ -var compiler_2circle_opselector_2driver_2driver_8cpp = -[ - [ "entry", "compiler_2circle-opselector_2driver_2driver_8cpp.html#a0bd2da0b208d77121c01ef3a7e7ae198", null ], - [ "print_version", "compiler_2circle-opselector_2driver_2driver_8cpp.html#ac6230d495fc909bb61195c45f703d492", null ] -]; \ No newline at end of file diff --git a/compiler_2circle-part-driver_2src_2driver_8cpp.html b/compiler_2circle-part-driver_2src_2_driver_8cpp.html similarity index 97% rename from compiler_2circle-part-driver_2src_2driver_8cpp.html rename to compiler_2circle-part-driver_2src_2_driver_8cpp.html index 7f087e38957..c326e55c67a 100644 --- a/compiler_2circle-part-driver_2src_2driver_8cpp.html +++ b/compiler_2circle-part-driver_2src_2_driver_8cpp.html @@ -63,7 +63,7 @@
    @@ -98,11 +98,11 @@ #include <luci/Log.h>
    #include <iostream>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    - +

    Functions

    int entry (int argc, char **argv)
    int entry (int argc, char **argv)
     

    Function Documentation

    @@ -132,7 +132,7 @@

    -

    Definition at line 23 of file Driver.cpp.

    +

    Definition at line 23 of file Driver.cpp.

    diff --git a/compiler_2circle-part-driver_2src_2_driver_8cpp.js b/compiler_2circle-part-driver_2src_2_driver_8cpp.js new file mode 100644 index 00000000000..d73f4b0303e --- /dev/null +++ b/compiler_2circle-part-driver_2src_2_driver_8cpp.js @@ -0,0 +1,4 @@ +var compiler_2circle_part_driver_2src_2_driver_8cpp = +[ + [ "entry", "compiler_2circle-part-driver_2src_2_driver_8cpp.html#a0bd2da0b208d77121c01ef3a7e7ae198", null ] +]; \ No newline at end of file diff --git a/compiler_2circle-part-driver_2src_2driver_8cpp_source.html b/compiler_2circle-part-driver_2src_2_driver_8cpp_source.html similarity index 94% rename from compiler_2circle-part-driver_2src_2driver_8cpp_source.html rename to compiler_2circle-part-driver_2src_2_driver_8cpp_source.html index bcbd3fa23ab..4def34b5c59 100644 --- a/compiler_2circle-part-driver_2src_2driver_8cpp_source.html +++ b/compiler_2circle-part-driver_2src_2_driver_8cpp_source.html @@ -68,7 +68,7 @@

    @@ -97,7 +97,7 @@
    Driver.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2021 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -120,7 +120,7 @@
    21#include <iostream>
    22
    -
    23int entry(int argc, char **argv)
    +
    23int entry(int argc, char **argv)
    24{
    25 LOGGER(l);
    26
    @@ -169,14 +169,14 @@
    void load_inputs(const std::string &input_prefix, int32_t num_inputs)
    bool load_config(const std::string &filename)
    -
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    +
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    diff --git a/compiler_2circle-part-driver_2src_2driver_8cpp.js b/compiler_2circle-part-driver_2src_2driver_8cpp.js deleted file mode 100644 index 551906c5a7f..00000000000 --- a/compiler_2circle-part-driver_2src_2driver_8cpp.js +++ /dev/null @@ -1,4 +0,0 @@ -var compiler_2circle_part_driver_2src_2driver_8cpp = -[ - [ "entry", "compiler_2circle-part-driver_2src_2driver_8cpp.html#a0bd2da0b208d77121c01ef3a7e7ae198", null ] -]; \ No newline at end of file diff --git a/compiler_2circle-tensordump_2driver_2driver_8cpp.html b/compiler_2circle-tensordump_2driver_2_driver_8cpp.html similarity index 96% rename from compiler_2circle-tensordump_2driver_2driver_8cpp.html rename to compiler_2circle-tensordump_2driver_2_driver_8cpp.html index ad2f647c1c3..88826107058 100644 --- a/compiler_2circle-tensordump_2driver_2driver_8cpp.html +++ b/compiler_2circle-tensordump_2driver_2_driver_8cpp.html @@ -63,7 +63,7 @@
    @@ -104,11 +104,11 @@ #include <string>
    #include <vector>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    - +

    Functions

    int entry (int argc, char **argv)
    int entry (int argc, char **argv)
     

    Function Documentation

    @@ -138,7 +138,7 @@

    -

    Definition at line 29 of file Driver.cpp.

    +

    Definition at line 29 of file Driver.cpp.

    30{
    32 "circle-tensordump allows users to retrieve tensor information from a Circle model file"};
    @@ -210,7 +210,7 @@

    diff --git a/compiler_2circle-tensordump_2driver_2_driver_8cpp.js b/compiler_2circle-tensordump_2driver_2_driver_8cpp.js new file mode 100644 index 00000000000..a46dc356875 --- /dev/null +++ b/compiler_2circle-tensordump_2driver_2_driver_8cpp.js @@ -0,0 +1,4 @@ +var compiler_2circle_tensordump_2driver_2_driver_8cpp = +[ + [ "entry", "compiler_2circle-tensordump_2driver_2_driver_8cpp.html#a0bd2da0b208d77121c01ef3a7e7ae198", null ] +]; \ No newline at end of file diff --git a/compiler_2circle-tensordump_2driver_2driver_8cpp_source.html b/compiler_2circle-tensordump_2driver_2_driver_8cpp_source.html similarity index 94% rename from compiler_2circle-tensordump_2driver_2driver_8cpp_source.html rename to compiler_2circle-tensordump_2driver_2_driver_8cpp_source.html index fc1e037730d..9bfa6d54ccf 100644 --- a/compiler_2circle-tensordump_2driver_2driver_8cpp_source.html +++ b/compiler_2circle-tensordump_2driver_2_driver_8cpp_source.html @@ -68,7 +68,7 @@

    @@ -97,7 +97,7 @@
    Driver.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -126,7 +126,7 @@
    27#include <vector>
    28
    -
    29int entry(int argc, char **argv)
    +
    29int entry(int argc, char **argv)
    30{
    32 "circle-tensordump allows users to retrieve tensor information from a Circle model file"};
    @@ -188,7 +188,7 @@
    DataBuffer load(void) const
    Definition FileLoader.h:39
    -
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    +
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    void dump(const coco::Op *op, int indent)
    Definition Dump.cpp:177
    Definition arser.h:38
    @@ -196,7 +196,7 @@ diff --git a/compiler_2circle-tensordump_2driver_2driver_8cpp.js b/compiler_2circle-tensordump_2driver_2driver_8cpp.js deleted file mode 100644 index cd1c6deef1a..00000000000 --- a/compiler_2circle-tensordump_2driver_2driver_8cpp.js +++ /dev/null @@ -1,4 +0,0 @@ -var compiler_2circle_tensordump_2driver_2driver_8cpp = -[ - [ "entry", "compiler_2circle-tensordump_2driver_2driver_8cpp.html#a0bd2da0b208d77121c01ef3a7e7ae198", null ] -]; \ No newline at end of file diff --git a/compiler_2circle-verify_2src_2driver_8cpp.html b/compiler_2circle-verify_2src_2_driver_8cpp.html similarity index 94% rename from compiler_2circle-verify_2src_2driver_8cpp.html rename to compiler_2circle-verify_2src_2_driver_8cpp.html index f3abeeb6397..fc2f2257c08 100644 --- a/compiler_2circle-verify_2src_2driver_8cpp.html +++ b/compiler_2circle-verify_2src_2_driver_8cpp.html @@ -63,7 +63,7 @@
    @@ -100,11 +100,11 @@ #include <memory>
    #include <string>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    - +

    Functions

    int entry (int argc, char **argv)
    int entry (int argc, char **argv)
     

    Function Documentation

    @@ -134,7 +134,7 @@

    -

    Definition at line 25 of file Driver.cpp.

    +

    Definition at line 25 of file Driver.cpp.

    26{
    28 arser.add_argument("circle").help("Circle file path to verify");
    @@ -179,7 +179,7 @@

    diff --git a/compiler_2circle-verify_2src_2_driver_8cpp.js b/compiler_2circle-verify_2src_2_driver_8cpp.js new file mode 100644 index 00000000000..23165f08c18 --- /dev/null +++ b/compiler_2circle-verify_2src_2_driver_8cpp.js @@ -0,0 +1,4 @@ +var compiler_2circle_verify_2src_2_driver_8cpp = +[ + [ "entry", "compiler_2circle-verify_2src_2_driver_8cpp.html#a0bd2da0b208d77121c01ef3a7e7ae198", null ] +]; \ No newline at end of file diff --git a/compiler_2circle-verify_2src_2driver_8cpp_source.html b/compiler_2circle-verify_2src_2_driver_8cpp_source.html similarity index 91% rename from compiler_2circle-verify_2src_2driver_8cpp_source.html rename to compiler_2circle-verify_2src_2_driver_8cpp_source.html index 4e8860a3a76..29a85ce7250 100644 --- a/compiler_2circle-verify_2src_2driver_8cpp_source.html +++ b/compiler_2circle-verify_2src_2_driver_8cpp_source.html @@ -68,7 +68,7 @@

    @@ -97,7 +97,7 @@
    Driver.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -122,7 +122,7 @@
    23#include <string>
    24
    -
    25int entry(int argc, char **argv)
    +
    25int entry(int argc, char **argv)
    26{
    28 arser.add_argument("circle").help("Circle file path to verify");
    @@ -160,7 +160,7 @@
    -
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    +
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    Definition arser.h:38
    @@ -168,7 +168,7 @@ diff --git a/compiler_2circle-verify_2src_2driver_8cpp.js b/compiler_2circle-verify_2src_2driver_8cpp.js deleted file mode 100644 index 74eaf678d96..00000000000 --- a/compiler_2circle-verify_2src_2driver_8cpp.js +++ /dev/null @@ -1,4 +0,0 @@ -var compiler_2circle_verify_2src_2driver_8cpp = -[ - [ "entry", "compiler_2circle-verify_2src_2driver_8cpp.html#a0bd2da0b208d77121c01ef3a7e7ae198", null ] -]; \ No newline at end of file diff --git a/compiler_2circlechef_2tools_2console_2driver_8cpp.html b/compiler_2circlechef_2tools_2console_2_driver_8cpp.html similarity index 88% rename from compiler_2circlechef_2tools_2console_2driver_8cpp.html rename to compiler_2circlechef_2tools_2console_2_driver_8cpp.html index 3dc10bd73c7..5661790c63b 100644 --- a/compiler_2circlechef_2tools_2console_2driver_8cpp.html +++ b/compiler_2circlechef_2tools_2console_2_driver_8cpp.html @@ -63,7 +63,7 @@
    @@ -100,13 +100,13 @@ #include <google/protobuf/text_format.h>
    #include <iostream>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    - + - +

    Functions

    int entry_stream (std::istream &is)
    int entry_stream (std::istream &is)
     
    int entry (int, char **)
    int entry (int, char **)
     

    Function Documentation

    @@ -136,14 +136,14 @@

    -

    Definition at line 60 of file Driver.cpp.

    +

    Definition at line 60 of file Driver.cpp.

    61{
    62 // forward to entry_stream
    -
    63 return entry_stream(std::cin);
    +
    63 return entry_stream(std::cin);
    64}
    -
    int entry_stream(std::istream &is)
    Definition Driver.cpp:25
    +
    int entry_stream(std::istream &is)
    Definition Driver.cpp:25
    -

    References entry_stream().

    +

    References entry_stream().

    @@ -163,7 +163,7 @@

    -

    Definition at line 25 of file Driver.cpp.

    +

    Definition at line 25 of file Driver.cpp.

    26{
    27 int32_t model_version = 1;
    28
    @@ -201,7 +201,7 @@

    References circlechef::cook().

    -

    Referenced by entry().

    +

    Referenced by entry().

    @@ -210,7 +210,7 @@

    diff --git a/compiler_2circlechef_2tools_2console_2_driver_8cpp.js b/compiler_2circlechef_2tools_2console_2_driver_8cpp.js new file mode 100644 index 00000000000..3fa8adc5634 --- /dev/null +++ b/compiler_2circlechef_2tools_2console_2_driver_8cpp.js @@ -0,0 +1,5 @@ +var compiler_2circlechef_2tools_2console_2_driver_8cpp = +[ + [ "entry", "compiler_2circlechef_2tools_2console_2_driver_8cpp.html#ab0ce61e9019a579c849fb5b37bd2c23e", null ], + [ "entry_stream", "compiler_2circlechef_2tools_2console_2_driver_8cpp.html#abe895577b82df8231101784f272cc68d", null ] +]; \ No newline at end of file diff --git a/compiler_2circlechef_2tools_2console_2driver_8cpp_source.html b/compiler_2circlechef_2tools_2console_2_driver_8cpp_source.html similarity index 87% rename from compiler_2circlechef_2tools_2console_2driver_8cpp_source.html rename to compiler_2circlechef_2tools_2console_2_driver_8cpp_source.html index 90344e1a4d6..0ef0582679d 100644 --- a/compiler_2circlechef_2tools_2console_2driver_8cpp_source.html +++ b/compiler_2circlechef_2tools_2console_2_driver_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Driver.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -122,7 +122,7 @@
    23#include <iostream>
    24
    -
    25int entry_stream(std::istream &is)
    +
    25int entry_stream(std::istream &is)
    26{
    27 int32_t model_version = 1;
    28
    @@ -159,22 +159,22 @@
    59
    -
    60int entry(int, char **)
    +
    60int entry(int, char **)
    61{
    62 // forward to entry_stream
    -
    63 return entry_stream(std::cin);
    +
    63 return entry_stream(std::cin);
    64}
    -
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    -
    int entry_stream(std::istream &is)
    Definition Driver.cpp:25
    +
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    +
    int entry_stream(std::istream &is)
    Definition Driver.cpp:25
    GeneratedModel cook(const ModelRecipe &model_recipe)
    diff --git a/compiler_2circlechef_2tools_2console_2driver_8cpp.js b/compiler_2circlechef_2tools_2console_2driver_8cpp.js deleted file mode 100644 index 5cb11cf0e97..00000000000 --- a/compiler_2circlechef_2tools_2console_2driver_8cpp.js +++ /dev/null @@ -1,5 +0,0 @@ -var compiler_2circlechef_2tools_2console_2driver_8cpp = -[ - [ "entry", "compiler_2circlechef_2tools_2console_2driver_8cpp.html#ab0ce61e9019a579c849fb5b37bd2c23e", null ], - [ "entry_stream", "compiler_2circlechef_2tools_2console_2driver_8cpp.html#abe895577b82df8231101784f272cc68d", null ] -]; \ No newline at end of file diff --git a/compiler_2circlechef_2tools_2file_2driver_8cpp.html b/compiler_2circlechef_2tools_2file_2_driver_8cpp.html similarity index 96% rename from compiler_2circlechef_2tools_2file_2driver_8cpp.html rename to compiler_2circlechef_2tools_2file_2_driver_8cpp.html index ff7781d49d2..04317c56a79 100644 --- a/compiler_2circlechef_2tools_2file_2driver_8cpp.html +++ b/compiler_2circlechef_2tools_2file_2_driver_8cpp.html @@ -63,7 +63,7 @@
    @@ -102,11 +102,11 @@ #include <fstream>
    #include <iostream>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    - +

    Functions

    int entry (int argc, char **argv)
    int entry (int argc, char **argv)
     

    Function Documentation

    @@ -136,7 +136,7 @@

    -

    Definition at line 28 of file Driver.cpp.

    +

    Definition at line 28 of file Driver.cpp.

    29{
    31 arser.add_argument("recipe").help("Source recipe file path to convert");
    @@ -205,7 +205,7 @@

    diff --git a/compiler_2circlechef_2tools_2file_2_driver_8cpp.js b/compiler_2circlechef_2tools_2file_2_driver_8cpp.js new file mode 100644 index 00000000000..c67c53e1e27 --- /dev/null +++ b/compiler_2circlechef_2tools_2file_2_driver_8cpp.js @@ -0,0 +1,4 @@ +var compiler_2circlechef_2tools_2file_2_driver_8cpp = +[ + [ "entry", "compiler_2circlechef_2tools_2file_2_driver_8cpp.html#a0bd2da0b208d77121c01ef3a7e7ae198", null ] +]; \ No newline at end of file diff --git a/compiler_2circlechef_2tools_2file_2driver_8cpp_source.html b/compiler_2circlechef_2tools_2file_2_driver_8cpp_source.html similarity index 93% rename from compiler_2circlechef_2tools_2file_2driver_8cpp_source.html rename to compiler_2circlechef_2tools_2file_2_driver_8cpp_source.html index dba37bf265d..753c8633812 100644 --- a/compiler_2circlechef_2tools_2file_2driver_8cpp_source.html +++ b/compiler_2circlechef_2tools_2file_2_driver_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Driver.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -125,7 +125,7 @@
    26#include <iostream>
    27
    -
    28int entry(int argc, char **argv)
    +
    28int entry(int argc, char **argv)
    29{
    31 arser.add_argument("recipe").help("Source recipe file path to convert");
    @@ -185,7 +185,7 @@ -
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    +
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    Definition arser.h:38
    GeneratedModel cook(const ModelRecipe &model_recipe)
    @@ -193,7 +193,7 @@ diff --git a/compiler_2circlechef_2tools_2file_2driver_8cpp.js b/compiler_2circlechef_2tools_2file_2driver_8cpp.js deleted file mode 100644 index 57c59ef984a..00000000000 --- a/compiler_2circlechef_2tools_2file_2driver_8cpp.js +++ /dev/null @@ -1,4 +0,0 @@ -var compiler_2circlechef_2tools_2file_2driver_8cpp = -[ - [ "entry", "compiler_2circlechef_2tools_2file_2driver_8cpp.html#a0bd2da0b208d77121c01ef3a7e7ae198", null ] -]; \ No newline at end of file diff --git a/compiler_2circlechef_2tools_2reverse_2driver_8cpp.html b/compiler_2circlechef_2tools_2reverse_2_driver_8cpp.html similarity index 96% rename from compiler_2circlechef_2tools_2reverse_2driver_8cpp.html rename to compiler_2circlechef_2tools_2reverse_2_driver_8cpp.html index 6a6edcc7c57..c00dd104a81 100644 --- a/compiler_2circlechef_2tools_2reverse_2driver_8cpp.html +++ b/compiler_2circlechef_2tools_2reverse_2_driver_8cpp.html @@ -63,7 +63,7 @@
    @@ -100,11 +100,11 @@ #include <memory>
    #include <iostream>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    - +

    Functions

    int entry (int argc, char **argv)
    int entry (int argc, char **argv)
     

    Function Documentation

    @@ -134,7 +134,7 @@

    -

    Definition at line 25 of file Driver.cpp.

    +

    Definition at line 25 of file Driver.cpp.

    26{
    28 arser.add_argument("circle").help("Source circle file path to convert");
    @@ -196,7 +196,7 @@

    diff --git a/compiler_2circlechef_2tools_2reverse_2_driver_8cpp.js b/compiler_2circlechef_2tools_2reverse_2_driver_8cpp.js new file mode 100644 index 00000000000..691b36eb6bc --- /dev/null +++ b/compiler_2circlechef_2tools_2reverse_2_driver_8cpp.js @@ -0,0 +1,4 @@ +var compiler_2circlechef_2tools_2reverse_2_driver_8cpp = +[ + [ "entry", "compiler_2circlechef_2tools_2reverse_2_driver_8cpp.html#a0bd2da0b208d77121c01ef3a7e7ae198", null ] +]; \ No newline at end of file diff --git a/compiler_2circlechef_2tools_2reverse_2driver_8cpp_source.html b/compiler_2circlechef_2tools_2reverse_2_driver_8cpp_source.html similarity index 94% rename from compiler_2circlechef_2tools_2reverse_2driver_8cpp_source.html rename to compiler_2circlechef_2tools_2reverse_2_driver_8cpp_source.html index e12e0cc32f0..916cc029ddf 100644 --- a/compiler_2circlechef_2tools_2reverse_2driver_8cpp_source.html +++ b/compiler_2circlechef_2tools_2reverse_2_driver_8cpp_source.html @@ -68,7 +68,7 @@

    @@ -97,7 +97,7 @@
    Driver.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -122,7 +122,7 @@
    23#include <iostream>
    24
    -
    25int entry(int argc, char **argv)
    +
    25int entry(int argc, char **argv)
    26{
    28 arser.add_argument("circle").help("Source circle file path to convert");
    @@ -175,7 +175,7 @@
    DataBuffer load(void) const
    Definition FileLoader.h:39
    -
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    +
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    Definition arser.h:38
    std::unique_ptr< ModelRecipe > generate_recipe(const circle::Model *model)
    Create ModelRecipe from circle::Model.
    bool write_recipe(const std::string &filename, std::unique_ptr< ModelRecipe > &recipe)
    Write ModelRecipe to file with given name.
    @@ -184,7 +184,7 @@ diff --git a/compiler_2circlechef_2tools_2reverse_2driver_8cpp.js b/compiler_2circlechef_2tools_2reverse_2driver_8cpp.js deleted file mode 100644 index 94e81b4e0ac..00000000000 --- a/compiler_2circlechef_2tools_2reverse_2driver_8cpp.js +++ /dev/null @@ -1,4 +0,0 @@ -var compiler_2circlechef_2tools_2reverse_2driver_8cpp = -[ - [ "entry", "compiler_2circlechef_2tools_2reverse_2driver_8cpp.html#a0bd2da0b208d77121c01ef3a7e7ae198", null ] -]; \ No newline at end of file diff --git a/compiler_2circledump_2driver_2driver_8cpp.html b/compiler_2circledump_2driver_2_driver_8cpp.html similarity index 95% rename from compiler_2circledump_2driver_2driver_8cpp.html rename to compiler_2circledump_2driver_2_driver_8cpp.html index 5ab4fef6522..b9db044a483 100644 --- a/compiler_2circledump_2driver_2driver_8cpp.html +++ b/compiler_2circledump_2driver_2_driver_8cpp.html @@ -63,7 +63,7 @@
    @@ -99,11 +99,11 @@ #include <circledump/Dump.h>
    #include <iostream>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    - +

    Functions

    int entry (int argc, char **argv)
    int entry (int argc, char **argv)
     

    Function Documentation

    @@ -133,7 +133,7 @@

    -

    Definition at line 23 of file Driver.cpp.

    +

    Definition at line 23 of file Driver.cpp.

    24{
    26 arser.add_argument("circle").help("Circle file path to dump");
    @@ -181,7 +181,7 @@

    diff --git a/compiler_2circledump_2driver_2_driver_8cpp.js b/compiler_2circledump_2driver_2_driver_8cpp.js new file mode 100644 index 00000000000..59e30c2c9e1 --- /dev/null +++ b/compiler_2circledump_2driver_2_driver_8cpp.js @@ -0,0 +1,4 @@ +var compiler_2circledump_2driver_2_driver_8cpp = +[ + [ "entry", "compiler_2circledump_2driver_2_driver_8cpp.html#a0bd2da0b208d77121c01ef3a7e7ae198", null ] +]; \ No newline at end of file diff --git a/compiler_2circledump_2driver_2driver_8cpp_source.html b/compiler_2circledump_2driver_2_driver_8cpp_source.html similarity index 92% rename from compiler_2circledump_2driver_2driver_8cpp_source.html rename to compiler_2circledump_2driver_2_driver_8cpp_source.html index 430024878cf..464a88aaf5f 100644 --- a/compiler_2circledump_2driver_2driver_8cpp_source.html +++ b/compiler_2circledump_2driver_2_driver_8cpp_source.html @@ -68,7 +68,7 @@

    @@ -97,7 +97,7 @@
    Driver.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -120,7 +120,7 @@
    21#include <iostream>
    22
    -
    23int entry(int argc, char **argv)
    +
    23int entry(int argc, char **argv)
    24{
    26 arser.add_argument("circle").help("Circle file path to dump");
    @@ -161,14 +161,14 @@
    DataBuffer load(void) const
    Definition FileLoader.h:39
    -
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    +
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    Definition arser.h:38
    diff --git a/compiler_2circledump_2driver_2driver_8cpp.js b/compiler_2circledump_2driver_2driver_8cpp.js deleted file mode 100644 index 37bfd3349b8..00000000000 --- a/compiler_2circledump_2driver_2driver_8cpp.js +++ /dev/null @@ -1,4 +0,0 @@ -var compiler_2circledump_2driver_2driver_8cpp = -[ - [ "entry", "compiler_2circledump_2driver_2driver_8cpp.html#a0bd2da0b208d77121c01ef3a7e7ae198", null ] -]; \ No newline at end of file diff --git a/compiler_2coco_2core_2src_2_i_r_2_conv2_d_8cpp.html b/compiler_2coco_2core_2src_2_i_r_2_conv2_d_8cpp.html index d7742f6539c..bc93366c8c7 100644 --- a/compiler_2coco_2core_2src_2_i_r_2_conv2_d_8cpp.html +++ b/compiler_2coco_2core_2src_2_i_r_2_conv2_d_8cpp.html @@ -95,7 +95,7 @@
    #include "coco/IR/Ops.h"
    -#include <pepper/assert.h>
    +#include <pepper/assert.h>

    Go to the source code of this file.

    diff --git a/compiler_2coco_2core_2src_2_i_r_2_conv2_d_8cpp_source.html b/compiler_2coco_2core_2src_2_i_r_2_conv2_d_8cpp_source.html index ddbf4445999..b0812146cf3 100644 --- a/compiler_2coco_2core_2src_2_i_r_2_conv2_d_8cpp_source.html +++ b/compiler_2coco_2core_2src_2_i_r_2_conv2_d_8cpp_source.html @@ -115,7 +115,7 @@
    16
    17#include "coco/IR/Ops.h"
    18
    -
    19#include <pepper/assert.h>
    +
    19#include <pepper/assert.h>
    20
    21namespace coco
    22{
    @@ -136,7 +136,7 @@
    34}
    35
    -
    36Op *Conv2D::arg(DBGARG(uint32_t, n)) const
    +
    36Op *Conv2D::arg(DBGARG(uint32_t, n)) const
    37{
    38 assert(n < arity());
    39 return arg();
    @@ -188,8 +188,8 @@
    uint32_t arity(void) const final
    Return the number of arguments (# of child Ops)
    Definition Conv2D.cpp:29
    Convolution Kernel (in CNN) values.
    Object * value(void) const
    Definition Use.h:37
    - -
    #define DBGARG(TYP, VAR)
    Definition assert.h:35
    + +
    #define DBGARG(TYP, VAR)
    Definition assert.h:35
    Base interface on all supported NN operations.
    Definition Op.h:45
    diff --git a/compiler_2dalgona_2driver_2driver_8cpp.html b/compiler_2dalgona_2driver_2_driver_8cpp.html similarity index 96% rename from compiler_2dalgona_2driver_2driver_8cpp.html rename to compiler_2dalgona_2driver_2_driver_8cpp.html index a2e2be3089d..3fac68648e0 100644 --- a/compiler_2dalgona_2driver_2driver_8cpp.html +++ b/compiler_2dalgona_2driver_2_driver_8cpp.html @@ -63,7 +63,7 @@
    @@ -98,11 +98,11 @@ #include <arser/arser.h>
    #include <pybind11/embed.h>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    - +

    Functions

    int entry (const int argc, char **argv)
    int entry (const int argc, char **argv)
     

    Function Documentation

    @@ -134,7 +134,7 @@

    -

    Definition at line 26 of file Driver.cpp.

    +

    Definition at line 26 of file Driver.cpp.

    27{
    28 arser::Arser arser("Dalgona: Dynamic analysis tool for DNN");
    29
    @@ -211,7 +211,7 @@

    diff --git a/compiler_2dalgona_2driver_2_driver_8cpp.js b/compiler_2dalgona_2driver_2_driver_8cpp.js new file mode 100644 index 00000000000..6ac05478190 --- /dev/null +++ b/compiler_2dalgona_2driver_2_driver_8cpp.js @@ -0,0 +1,4 @@ +var compiler_2dalgona_2driver_2_driver_8cpp = +[ + [ "entry", "compiler_2dalgona_2driver_2_driver_8cpp.html#ad0f47bc81bc604e8bc1d169d370f2000", null ] +]; \ No newline at end of file diff --git a/compiler_2dalgona_2driver_2driver_8cpp_source.html b/compiler_2dalgona_2driver_2_driver_8cpp_source.html similarity index 94% rename from compiler_2dalgona_2driver_2driver_8cpp_source.html rename to compiler_2dalgona_2driver_2_driver_8cpp_source.html index 007e6a5b350..4161bb29ec2 100644 --- a/compiler_2dalgona_2driver_2driver_8cpp_source.html +++ b/compiler_2dalgona_2driver_2_driver_8cpp_source.html @@ -68,7 +68,7 @@

    @@ -97,7 +97,7 @@
    Driver.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2022 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -123,7 +123,7 @@
    24using namespace dalgona;
    25
    -
    26int entry(const int argc, char **argv)
    +
    26int entry(const int argc, char **argv)
    27{
    28 arser::Arser arser("Dalgona: Dynamic analysis tool for DNN");
    29
    @@ -193,7 +193,7 @@ -
    int entry(const int argc, char **argv)
    Definition Driver.cpp:26
    +
    int entry(const int argc, char **argv)
    Definition Driver.cpp:26
    Definition arser.h:38
    @@ -201,7 +201,7 @@ diff --git a/compiler_2dalgona_2driver_2driver_8cpp.js b/compiler_2dalgona_2driver_2driver_8cpp.js deleted file mode 100644 index 264cedd5a40..00000000000 --- a/compiler_2dalgona_2driver_2driver_8cpp.js +++ /dev/null @@ -1,4 +0,0 @@ -var compiler_2dalgona_2driver_2driver_8cpp = -[ - [ "entry", "compiler_2dalgona_2driver_2driver_8cpp.html#ad0f47bc81bc604e8bc1d169d370f2000", null ] -]; \ No newline at end of file diff --git a/compiler_2dalgona_2src_2_utils_8cpp.html b/compiler_2dalgona_2src_2_utils_8cpp.html index 5d5dee706fa..004d8bdc9ed 100644 --- a/compiler_2dalgona_2src_2_utils_8cpp.html +++ b/compiler_2dalgona_2src_2_utils_8cpp.html @@ -100,7 +100,7 @@
    #include "Utils.h"
    #include "StringUtils.h"
    #include <luci_interpreter/core/Tensor.h>
    -#include <luci/IR/CircleOpcode.h>
    +#include <luci/IR/CircleOpcode.h>
    #include <luci/IR/CircleNodeDecl.h>
    #include <pybind11/numpy.h>
    #include <stdexcept>
    diff --git a/compiler_2dalgona_2src_2_utils_8cpp_source.html b/compiler_2dalgona_2src_2_utils_8cpp_source.html index 4b6bbddd690..37fdad70916 100644 --- a/compiler_2dalgona_2src_2_utils_8cpp_source.html +++ b/compiler_2dalgona_2src_2_utils_8cpp_source.html @@ -117,7 +117,7 @@
    18#include "StringUtils.h"
    19
    20#include <luci_interpreter/core/Tensor.h>
    - +
    23
    24#include <pybind11/numpy.h>
    @@ -314,7 +314,7 @@
    #define THROW_UNLESS(COND, MSG)
    Definition Utils.cpp:33
    - +
    std::vector< py::dict > inputsPyArray(const luci::CircleNode *node, luci_interpreter::Interpreter *interpreter)
    Definition Utils.cpp:107
    const std::string toString(luci::CircleOpcode opcode)
    diff --git a/compiler_2enco_2cli_2src_2driver_8cpp.html b/compiler_2enco_2cli_2src_2_driver_8cpp.html similarity index 87% rename from compiler_2enco_2cli_2src_2driver_8cpp.html rename to compiler_2enco_2cli_2src_2_driver_8cpp.html index a47e308582b..b2298306f21 100644 --- a/compiler_2enco_2cli_2src_2driver_8cpp.html +++ b/compiler_2enco_2cli_2src_2_driver_8cpp.html @@ -63,7 +63,7 @@
    @@ -108,7 +108,7 @@ #include <iostream>
    #include <stdexcept>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    @@ -122,7 +122,7 @@

    Data Structures

    - +

    Functions

    int main (int argc, char **argv)
    int main (int argc, char **argv)
     

    Function Documentation

    @@ -152,15 +152,15 @@

    -

    Definition at line 214 of file Driver.cpp.

    +

    Definition at line 214 of file Driver.cpp.

    215{
    216 // NOTE main does not catch internal exceptions for debug build to make it easy to
    217 // check the stacktrace with a debugger
    -
    218 return entry(argc, argv);
    +
    218 return entry(argc, argv);
    219}
    -
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    +
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    -

    References entry().

    +

    References entry().

    @@ -169,7 +169,7 @@

    diff --git a/compiler_2enco_2cli_2src_2_driver_8cpp.js b/compiler_2enco_2cli_2src_2_driver_8cpp.js new file mode 100644 index 00000000000..6404446e8e4 --- /dev/null +++ b/compiler_2enco_2cli_2src_2_driver_8cpp.js @@ -0,0 +1,5 @@ +var compiler_2enco_2cli_2src_2_driver_8cpp = +[ + [ "cmdline::Vector", "classcmdline_1_1_vector.html", "classcmdline_1_1_vector" ], + [ "main", "compiler_2enco_2cli_2src_2_driver_8cpp.html#a3c04138a5bfe5d72780bb7e82a18e627", null ] +]; \ No newline at end of file diff --git a/compiler_2enco_2cli_2src_2driver_8cpp_source.html b/compiler_2enco_2cli_2src_2_driver_8cpp_source.html similarity index 92% rename from compiler_2enco_2cli_2src_2driver_8cpp_source.html rename to compiler_2enco_2cli_2src_2_driver_8cpp_source.html index c1a6ebfd10e..3f6f1e204e8 100644 --- a/compiler_2enco_2cli_2src_2driver_8cpp_source.html +++ b/compiler_2enco_2cli_2src_2_driver_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Driver.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -198,17 +198,17 @@
    95 using Entry = std::unique_ptr<enco::Frontend> (*)(const cmdline::View &);
    96
    97private:
    -
    98 Entry entry(void) const
    +
    98 Entry entry(void) const
    99 {
    -
    100 auto entry = reinterpret_cast<Entry>(dlsym(_handle, "make_frontend"));
    +
    100 auto entry = reinterpret_cast<Entry>(dlsym(_handle, "make_frontend"));
    101 assert(entry != nullptr);
    -
    102 return entry;
    +
    102 return entry;
    103 }
    104
    105public:
    106 std::unique_ptr<enco::Frontend> make(const cmdline::View *args) const
    107 {
    -
    108 auto fn = entry();
    +
    108 auto fn = entry();
    109 return fn(*args);
    110 }
    111
    @@ -244,7 +244,7 @@
    141#include <iostream>
    142#include <stdexcept>
    143
    -
    144static int entry(int argc, char **argv)
    +
    144static int entry(int argc, char **argv)
    145{
    146 // Usage:
    147 // [Command] --frontend [Frontend .so path] --frontend-arg ...
    @@ -300,11 +300,11 @@
    197}
    198
    199#ifdef NDEBUG
    -
    200int main(int argc, char **argv)
    +
    200int main(int argc, char **argv)
    201{
    202 try
    203 {
    -
    204 return entry(argc, argv);
    +
    204 return entry(argc, argv);
    205 }
    206 catch (const std::exception &e)
    207 {
    @@ -315,20 +315,20 @@
    212}
    213#else // NDEBUG
    -
    214int main(int argc, char **argv)
    +
    214int main(int argc, char **argv)
    215{
    216 // NOTE main does not catch internal exceptions for debug build to make it easy to
    217 // check the stacktrace with a debugger
    -
    218 return entry(argc, argv);
    +
    218 return entry(argc, argv);
    219}
    220#endif // !NDEBUG
    - -
    Vector & append(const std::string &arg)
    Definition Driver.cpp:40
    -
    uint32_t size(void) const
    Definition Driver.cpp:34
    -
    const char * at(uint32_t nth) const
    Definition Driver.cpp:37
    -
    int entry(const int argc, char **argv)
    Definition Driver.cpp:53
    -
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    + +
    Vector & append(const std::string &arg)
    Definition Driver.cpp:40
    +
    uint32_t size(void) const
    Definition Driver.cpp:34
    +
    const char * at(uint32_t nth) const
    Definition Driver.cpp:37
    +
    int entry(const int argc, char **argv)
    Definition Driver.cpp:53
    +
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    std::unique_ptr< enco::Backend > make_backend(const cmdline::View &)
    Definition Backend.cpp:174
    @@ -338,14 +338,14 @@ -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/compiler_2enco_2cli_2src_2driver_8cpp.js b/compiler_2enco_2cli_2src_2driver_8cpp.js deleted file mode 100644 index dc0fba1f5d8..00000000000 --- a/compiler_2enco_2cli_2src_2driver_8cpp.js +++ /dev/null @@ -1,5 +0,0 @@ -var compiler_2enco_2cli_2src_2driver_8cpp = -[ - [ "cmdline::Vector", "classcmdline_1_1_vector.html", "classcmdline_1_1_vector" ], - [ "main", "compiler_2enco_2cli_2src_2driver_8cpp.html#a3c04138a5bfe5d72780bb7e82a18e627", null ] -]; \ No newline at end of file diff --git a/compiler_2enco_2frontend_2tflite_2src_2_op_2_concatenation_8cpp_source.html b/compiler_2enco_2frontend_2tflite_2src_2_op_2_concatenation_8cpp_source.html index d4eca7f7836..80bc959ecf2 100644 --- a/compiler_2enco_2frontend_2tflite_2src_2_op_2_concatenation_8cpp_source.html +++ b/compiler_2enco_2frontend_2tflite_2src_2_op_2_concatenation_8cpp_source.html @@ -390,7 +390,7 @@
    loco::FeatureShape as_feature_shape(const loco::NodeShape &nodeshape, const TFDataLayout &data_layout)
    -
    Dims< uint32_t > as_dims(const nncc::core::ADT::tensor::Shape &)
    Definition dims.cpp:24
    +
    Dims< uint32_t > as_dims(const nncc::core::ADT::tensor::Shape &)
    Definition dims.cpp:24
    std::vector< int32_t > IndexVector
    Definition Convert.h:29
    diff --git a/compiler_2encodump_2src_2driver_8cpp.html b/compiler_2encodump_2src_2_driver_8cpp.html similarity index 96% rename from compiler_2encodump_2src_2driver_8cpp.html rename to compiler_2encodump_2src_2_driver_8cpp.html index 20d98fd1aa2..bfb15a64978 100644 --- a/compiler_2encodump_2src_2driver_8cpp.html +++ b/compiler_2encodump_2src_2_driver_8cpp.html @@ -63,7 +63,7 @@
    @@ -109,7 +109,7 @@ #include <iostream>
    #include <stdexcept>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    @@ -123,7 +123,7 @@

    Data Structures

    - +

    Functions

    int entry (int argc, char **argv)
    int entry (int argc, char **argv)
     Dump IR for given arguments.
     
    @@ -159,7 +159,7 @@

    -

    Definition at line 155 of file Driver.cpp.

    +

    Definition at line 155 of file Driver.cpp.

    156{
    157 // Usage:
    158 // [Command] --frontend [Frontend .so path] --frontend-arg ...
    @@ -225,7 +225,7 @@

    diff --git a/compiler_2encodump_2src_2_driver_8cpp.js b/compiler_2encodump_2src_2_driver_8cpp.js new file mode 100644 index 00000000000..eeb6717d20d --- /dev/null +++ b/compiler_2encodump_2src_2_driver_8cpp.js @@ -0,0 +1,5 @@ +var compiler_2encodump_2src_2_driver_8cpp = +[ + [ "cmdline::Vector", "classcmdline_1_1_vector.html", "classcmdline_1_1_vector" ], + [ "entry", "compiler_2encodump_2src_2_driver_8cpp.html#a0bd2da0b208d77121c01ef3a7e7ae198", null ] +]; \ No newline at end of file diff --git a/compiler_2encodump_2src_2driver_8cpp_source.html b/compiler_2encodump_2src_2_driver_8cpp_source.html similarity index 93% rename from compiler_2encodump_2src_2driver_8cpp_source.html rename to compiler_2encodump_2src_2_driver_8cpp_source.html index 2655098ac2f..c71b8a5166e 100644 --- a/compiler_2encodump_2src_2driver_8cpp_source.html +++ b/compiler_2encodump_2src_2_driver_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Driver.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -198,17 +198,17 @@
    97 using Entry = std::unique_ptr<enco::Frontend> (*)(const cmdline::View &);
    98
    99private:
    -
    100 Entry entry(void) const
    +
    100 Entry entry(void) const
    101 {
    -
    102 auto entry = reinterpret_cast<Entry>(dlsym(_handle, "make_frontend"));
    +
    102 auto entry = reinterpret_cast<Entry>(dlsym(_handle, "make_frontend"));
    103 assert(entry != nullptr);
    -
    104 return entry;
    +
    104 return entry;
    105 }
    106
    107public:
    108 std::unique_ptr<enco::Frontend> make(const cmdline::View *args) const
    109 {
    -
    110 auto fn = entry();
    +
    110 auto fn = entry();
    111 return fn(*args);
    112 }
    113
    @@ -245,7 +245,7 @@
    144#include <stdexcept>
    145
    -
    155int entry(int argc, char **argv)
    +
    155int entry(int argc, char **argv)
    156{
    157 // Usage:
    158 // [Command] --frontend [Frontend .so path] --frontend-arg ...
    @@ -298,12 +298,12 @@
    205 return 0;
    206}
    - -
    Vector & append(const std::string &arg)
    Definition Driver.cpp:42
    -
    uint32_t size(void) const
    Definition Driver.cpp:36
    -
    const char * at(uint32_t nth) const
    Definition Driver.cpp:39
    -
    int entry(const int argc, char **argv)
    Definition Driver.cpp:53
    -
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    + +
    Vector & append(const std::string &arg)
    Definition Driver.cpp:42
    +
    uint32_t size(void) const
    Definition Driver.cpp:36
    +
    const char * at(uint32_t nth) const
    Definition Driver.cpp:39
    +
    int entry(const int argc, char **argv)
    Definition Driver.cpp:53
    +
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    @@ -318,7 +318,7 @@ diff --git a/compiler_2encodump_2src_2driver_8cpp.js b/compiler_2encodump_2src_2driver_8cpp.js deleted file mode 100644 index 658149dba75..00000000000 --- a/compiler_2encodump_2src_2driver_8cpp.js +++ /dev/null @@ -1,5 +0,0 @@ -var compiler_2encodump_2src_2driver_8cpp = -[ - [ "cmdline::Vector", "classcmdline_1_1_vector.html", "classcmdline_1_1_vector" ], - [ "entry", "compiler_2encodump_2src_2driver_8cpp.html#a0bd2da0b208d77121c01ef3a7e7ae198", null ] -]; \ No newline at end of file diff --git a/compiler_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8h_source.html b/compiler_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8h_source.html index 9feea33cf70..c707da260e2 100644 --- a/compiler_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8h_source.html +++ b/compiler_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8h_source.html @@ -160,10 +160,10 @@
    const LeakyReluParams & params() const
    Definition Kernel.h:67
    - +
    const Tensor * input() const
    Definition LeakyRelu.h:33
    - +
    diff --git a/compiler_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp.html b/compiler_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp.html similarity index 95% rename from compiler_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp.html rename to compiler_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp.html index 229349fa504..1258e39d31d 100644 --- a/compiler_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp.html +++ b/compiler_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp.html @@ -63,7 +63,7 @@
    @@ -100,7 +100,7 @@ #include "PALLeakyRelu.h"
    #include <stdexcept>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    @@ -114,7 +114,7 @@ diff --git a/compiler_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp_source.html b/compiler_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp_source.html similarity index 97% rename from compiler_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp_source.html rename to compiler_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp_source.html index 3e9b3ff2f09..2875b11d133 100644 --- a/compiler_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp_source.html +++ b/compiler_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    LeakyRelu.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -199,11 +199,11 @@
    void resize(const Shape &new_shape)
    Definition Tensor.cpp:56
    float scale() const
    Definition Tensor.h:109
    int32_t zero_point() const
    Definition Tensor.h:115
    - +
    const Tensor * input() const
    Definition LeakyRelu.h:33
    - -
    LeakyRelu(const Tensor *input, Tensor *output, const LeakyReluParams &params)
    Definition LeakyRelu.cpp:33
    + +
    LeakyRelu(const Tensor *input, Tensor *output, const LeakyReluParams &params)
    Definition LeakyRelu.cpp:33
    #define LUCI_INTERPRETER_CHECK(cond)
    Definition Utils.h:36
    tflite::RuntimeShape getTensorShape(const Tensor *tensor)
    Definition Utils.h:194
    @@ -216,7 +216,7 @@ diff --git a/compiler_2luci-interpreter_2src_2loader_2_kernel_builder_8cpp.html b/compiler_2luci-interpreter_2src_2loader_2_kernel_builder_8cpp.html index 7917577418c..6b5940dbfdb 100644 --- a/compiler_2luci-interpreter_2src_2loader_2_kernel_builder_8cpp.html +++ b/compiler_2luci-interpreter_2src_2loader_2_kernel_builder_8cpp.html @@ -99,7 +99,7 @@
    #include "loader/KernelBuilder.h"
    #include "loader/nodes/Builders.h"
    -#include <luci/IR/CircleOpcode.h>
    +#include <luci/IR/CircleOpcode.h>
    #include <luci/IR/CircleNodeDecl.h>
    #include <stdexcept>
    #include <luci/IR/CircleNodes.lst>
    diff --git a/compiler_2luci-interpreter_2src_2loader_2_kernel_builder_8cpp_source.html b/compiler_2luci-interpreter_2src_2loader_2_kernel_builder_8cpp_source.html index 5b61175ab4c..538cc7d47c2 100644 --- a/compiler_2luci-interpreter_2src_2loader_2_kernel_builder_8cpp_source.html +++ b/compiler_2luci-interpreter_2src_2loader_2_kernel_builder_8cpp_source.html @@ -116,7 +116,7 @@
    19
    - +
    22
    23#include <stdexcept>
    @@ -248,12 +248,12 @@ - +
    const std::string toString(luci::CircleOpcode opcode)
    - +
    NodeName name(void) const
    virtual CircleOpcode opcode(void) const =0
    diff --git a/compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_re_l_u_8cpp.js b/compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_re_l_u_8cpp.js deleted file mode 100644 index 2cf8835625d..00000000000 --- a/compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_re_l_u_8cpp.js +++ /dev/null @@ -1,4 +0,0 @@ -var compiler_2luci_interpreter_2src_2loader_2nodes_2_leaky_re_l_u_8cpp = -[ - [ "build_kernel_CircleLeakyRelu", "compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_re_l_u_8cpp.html#aa92301980d51b10774621c4ca328e67b", null ] -]; \ No newline at end of file diff --git a/compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_re_l_u_8cpp.html b/compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_relu_8cpp.html similarity index 96% rename from compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_re_l_u_8cpp.html rename to compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_relu_8cpp.html index ac92451d3d4..89267b9e0e4 100644 --- a/compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_re_l_u_8cpp.html +++ b/compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_relu_8cpp.html @@ -63,7 +63,7 @@

    Namespaces

    @@ -115,7 +115,7 @@ diff --git a/compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_relu_8cpp.js b/compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_relu_8cpp.js new file mode 100644 index 00000000000..5363a354376 --- /dev/null +++ b/compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_relu_8cpp.js @@ -0,0 +1,4 @@ +var compiler_2luci_interpreter_2src_2loader_2nodes_2_leaky_relu_8cpp = +[ + [ "build_kernel_CircleLeakyRelu", "compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_relu_8cpp.html#aa92301980d51b10774621c4ca328e67b", null ] +]; \ No newline at end of file diff --git a/compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_re_l_u_8cpp_source.html b/compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_relu_8cpp_source.html similarity index 97% rename from compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_re_l_u_8cpp_source.html rename to compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_relu_8cpp_source.html index 27c46adaeef..6cd17fd730a 100644 --- a/compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_re_l_u_8cpp_source.html +++ b/compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_relu_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    LeakyRelu.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2021 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -143,7 +143,7 @@ -
    std::unique_ptr< Kernel > build_kernel_CircleLeakyRelu(const luci::CircleNode *circle_node, KernelBuilderHelper &helper)
    Definition LeakyRelu.cpp:24
    +
    std::unique_ptr< Kernel > build_kernel_CircleLeakyRelu(const luci::CircleNode *circle_node, KernelBuilderHelper &helper)
    Definition LeakyRelu.cpp:24
    @@ -153,7 +153,7 @@ diff --git a/compiler_2minmax-embedder-value-test_2gen_2src_2driver_8cpp.html b/compiler_2minmax-embedder-value-test_2gen_2src_2_driver_8cpp.html similarity index 95% rename from compiler_2minmax-embedder-value-test_2gen_2src_2driver_8cpp.html rename to compiler_2minmax-embedder-value-test_2gen_2src_2_driver_8cpp.html index c9464589b5a..199db89f589 100644 --- a/compiler_2minmax-embedder-value-test_2gen_2src_2driver_8cpp.html +++ b/compiler_2minmax-embedder-value-test_2gen_2src_2_driver_8cpp.html @@ -63,7 +63,7 @@

    Namespaces

    - +

    Functions

    int entry (const int argc, char **argv)
    int entry (const int argc, char **argv)
     Dump IR for given arguments.
     
    @@ -137,7 +137,7 @@

    -

    Definition at line 23 of file Driver.cpp.

    +

    Definition at line 23 of file Driver.cpp.

    24{
    25 arser::Arser arser("Generate min/max data to test minmax-embedder");
    26 arser.add_argument("--num_inputs")
    @@ -196,7 +196,7 @@

    diff --git a/compiler_2minmax-embedder-value-test_2gen_2src_2_driver_8cpp.js b/compiler_2minmax-embedder-value-test_2gen_2src_2_driver_8cpp.js new file mode 100644 index 00000000000..2ac05ec9e16 --- /dev/null +++ b/compiler_2minmax-embedder-value-test_2gen_2src_2_driver_8cpp.js @@ -0,0 +1,4 @@ +var compiler_2minmax_embedder_value_test_2gen_2src_2_driver_8cpp = +[ + [ "entry", "compiler_2minmax-embedder-value-test_2gen_2src_2_driver_8cpp.html#ad0f47bc81bc604e8bc1d169d370f2000", null ] +]; \ No newline at end of file diff --git a/compiler_2minmax-embedder-value-test_2gen_2src_2driver_8cpp_source.html b/compiler_2minmax-embedder-value-test_2gen_2src_2_driver_8cpp_source.html similarity index 93% rename from compiler_2minmax-embedder-value-test_2gen_2src_2driver_8cpp_source.html rename to compiler_2minmax-embedder-value-test_2gen_2src_2_driver_8cpp_source.html index cb733ebd585..bfb4595e1c6 100644 --- a/compiler_2minmax-embedder-value-test_2gen_2src_2driver_8cpp_source.html +++ b/compiler_2minmax-embedder-value-test_2gen_2src_2_driver_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Driver.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2023 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -120,7 +120,7 @@
    21using namespace minmax_embedder_test;
    22
    -
    23int entry(const int argc, char **argv)
    +
    23int entry(const int argc, char **argv)
    24{
    25 arser::Arser arser("Generate min/max data to test minmax-embedder");
    26 arser.add_argument("--num_inputs")
    @@ -169,7 +169,7 @@ -
    int entry(const int argc, char **argv)
    Dump IR for given arguments.
    Definition Driver.cpp:23
    +
    int entry(const int argc, char **argv)
    Dump IR for given arguments.
    Definition Driver.cpp:23
    Definition arser.h:38
    @@ -179,7 +179,7 @@ diff --git a/compiler_2minmax-embedder-value-test_2gen_2src_2driver_8cpp.js b/compiler_2minmax-embedder-value-test_2gen_2src_2driver_8cpp.js deleted file mode 100644 index 574ba68cb7d..00000000000 --- a/compiler_2minmax-embedder-value-test_2gen_2src_2driver_8cpp.js +++ /dev/null @@ -1,4 +0,0 @@ -var compiler_2minmax_embedder_value_test_2gen_2src_2driver_8cpp = -[ - [ "entry", "compiler_2minmax-embedder-value-test_2gen_2src_2driver_8cpp.html#ad0f47bc81bc604e8bc1d169d370f2000", null ] -]; \ No newline at end of file diff --git a/compiler_2minmax-embedder_2driver_2driver_8cpp.html b/compiler_2minmax-embedder_2driver_2_driver_8cpp.html similarity index 92% rename from compiler_2minmax-embedder_2driver_2driver_8cpp.html rename to compiler_2minmax-embedder_2driver_2_driver_8cpp.html index c60c10aa92f..368c243aa71 100644 --- a/compiler_2minmax-embedder_2driver_2driver_8cpp.html +++ b/compiler_2minmax-embedder_2driver_2_driver_8cpp.html @@ -63,7 +63,7 @@
    @@ -99,13 +99,13 @@ #include <vconone/vconone.h>
    #include <stdlib.h>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    - + - +

    Functions

    void print_version (void)
    void print_version (void)
     
    int entry (const int argc, char **argv)
    int entry (const int argc, char **argv)
     Dump IR for given arguments.
     
    @@ -141,10 +141,10 @@

    -

    Definition at line 32 of file Driver.cpp.

    +

    Definition at line 32 of file Driver.cpp.

    33{
    34 arser::Arser arser("minmax-embedder embeds given minmax into circle");
    - +
    36 // named args
    37 arser.add_argument("--min_percentile")
    38 .type(arser::DataType::FLOAT)
    @@ -192,12 +192,12 @@

    static void add_version(Arser &arser, const std::function< void(void)> &func)
    Definition arser.h:733

    void embed(const std::string &output_path, const std::string &input_path, const std::string &minmax_path, const EmbedderOptions &)
    Definition Embedder.cpp:77
    -
    void print_version(void)
    Definition Driver.cpp:26
    +
    void print_version(void)
    Definition Driver.cpp:26
    Definition arser.h:38

    -

    References arser::Helper::add_version(), minmax_embedder::Embedder::embed(), and print_version().

    +

    References arser::Helper::add_version(), minmax_embedder::Embedder::embed(), and print_version().

    @@ -217,7 +217,7 @@

    -

    Definition at line 26 of file Driver.cpp.

    +

    Definition at line 26 of file Driver.cpp.

    27{
    28 std::cout << "minmax-embedder version " << vconone::get_string() << std::endl;
    29 std::cout << vconone::get_copyright() << std::endl;
    @@ -227,7 +227,7 @@

    References vconone::get_copyright(), and vconone::get_string().

    -

    Referenced by entry().

    +

    Referenced by entry().

    @@ -236,7 +236,7 @@

    diff --git a/compiler_2minmax-embedder_2driver_2_driver_8cpp.js b/compiler_2minmax-embedder_2driver_2_driver_8cpp.js new file mode 100644 index 00000000000..ecdfb62090a --- /dev/null +++ b/compiler_2minmax-embedder_2driver_2_driver_8cpp.js @@ -0,0 +1,5 @@ +var compiler_2minmax_embedder_2driver_2_driver_8cpp = +[ + [ "entry", "compiler_2minmax-embedder_2driver_2_driver_8cpp.html#ad0f47bc81bc604e8bc1d169d370f2000", null ], + [ "print_version", "compiler_2minmax-embedder_2driver_2_driver_8cpp.html#ac6230d495fc909bb61195c45f703d492", null ] +]; \ No newline at end of file diff --git a/compiler_2minmax-embedder_2driver_2driver_8cpp_source.html b/compiler_2minmax-embedder_2driver_2_driver_8cpp_source.html similarity index 91% rename from compiler_2minmax-embedder_2driver_2driver_8cpp_source.html rename to compiler_2minmax-embedder_2driver_2_driver_8cpp_source.html index c8765d558bb..67cece1e70b 100644 --- a/compiler_2minmax-embedder_2driver_2driver_8cpp_source.html +++ b/compiler_2minmax-embedder_2driver_2_driver_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Driver.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2023 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -123,7 +123,7 @@
    24using namespace minmax_embedder;
    25
    -
    26void print_version(void)
    +
    26void print_version(void)
    27{
    28 std::cout << "minmax-embedder version " << vconone::get_string() << std::endl;
    29 std::cout << vconone::get_copyright() << std::endl;
    @@ -131,10 +131,10 @@
    31
    -
    32int entry(const int argc, char **argv)
    +
    32int entry(const int argc, char **argv)
    33{
    34 arser::Arser arser("minmax-embedder embeds given minmax into circle");
    - +
    36 // named args
    37 arser.add_argument("--min_percentile")
    38 .type(arser::DataType::FLOAT)
    @@ -185,8 +185,8 @@
    static void add_version(Arser &arser, const std::function< void(void)> &func)
    Definition arser.h:733
    void embed(const std::string &output_path, const std::string &input_path, const std::string &minmax_path, const EmbedderOptions &)
    Definition Embedder.cpp:77
    -
    void print_version(void)
    Definition Driver.cpp:26
    -
    int entry(const int argc, char **argv)
    Dump IR for given arguments.
    Definition Driver.cpp:32
    +
    void print_version(void)
    Definition Driver.cpp:26
    +
    int entry(const int argc, char **argv)
    Dump IR for given arguments.
    Definition Driver.cpp:32
    Definition arser.h:38
    std::string get_copyright(void)
    get_copyright will return copyright string
    Definition version.cpp:54
    @@ -198,7 +198,7 @@ diff --git a/compiler_2minmax-embedder_2driver_2driver_8cpp.js b/compiler_2minmax-embedder_2driver_2driver_8cpp.js deleted file mode 100644 index 4514a73d203..00000000000 --- a/compiler_2minmax-embedder_2driver_2driver_8cpp.js +++ /dev/null @@ -1,5 +0,0 @@ -var compiler_2minmax_embedder_2driver_2driver_8cpp = -[ - [ "entry", "compiler_2minmax-embedder_2driver_2driver_8cpp.html#ad0f47bc81bc604e8bc1d169d370f2000", null ], - [ "print_version", "compiler_2minmax-embedder_2driver_2driver_8cpp.html#ac6230d495fc909bb61195c45f703d492", null ] -]; \ No newline at end of file diff --git a/compiler_2mir-interpreter_2src_2ops_2_leaky_re_l_u_8h_source.html b/compiler_2mir-interpreter_2src_2ops_2_leaky_re_l_u_8h_source.html index f7ac284dbcb..edf77986abc 100644 --- a/compiler_2mir-interpreter_2src_2ops_2_leaky_re_l_u_8h_source.html +++ b/compiler_2mir-interpreter_2src_2ops_2_leaky_re_l_u_8h_source.html @@ -129,7 +129,7 @@ -
    void LeakyReLU(const mir::TensorVariant &arg, float alpha, mir::TensorVariant &result)
    Definition LeakyReLU.cpp:44
    +
    void LeakyReLU(const mir::TensorVariant &arg, float alpha, mir::TensorVariant &result)
    Definition LeakyReLU.cpp:44
    diff --git a/compiler_2mir-interpreter_2src_2ops_2_leaky_re_l_u_8cpp.html b/compiler_2mir-interpreter_2src_2ops_2_leaky_relu_8cpp.html similarity index 96% rename from compiler_2mir-interpreter_2src_2ops_2_leaky_re_l_u_8cpp.html rename to compiler_2mir-interpreter_2src_2ops_2_leaky_relu_8cpp.html index 0c99d934ad9..534c56ed310 100644 --- a/compiler_2mir-interpreter_2src_2ops_2_leaky_re_l_u_8cpp.html +++ b/compiler_2mir-interpreter_2src_2ops_2_leaky_relu_8cpp.html @@ -63,7 +63,7 @@
    @@ -101,7 +101,7 @@ #include <mir/ShapeRange.h>
    #include <mir/Tensor.h>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    @@ -123,7 +123,7 @@ diff --git a/compiler_2mir-interpreter_2src_2ops_2_leaky_re_l_u_8cpp.js b/compiler_2mir-interpreter_2src_2ops_2_leaky_relu_8cpp.js similarity index 58% rename from compiler_2mir-interpreter_2src_2ops_2_leaky_re_l_u_8cpp.js rename to compiler_2mir-interpreter_2src_2ops_2_leaky_relu_8cpp.js index 290f91a83e7..84aee354ee6 100644 --- a/compiler_2mir-interpreter_2src_2ops_2_leaky_re_l_u_8cpp.js +++ b/compiler_2mir-interpreter_2src_2ops_2_leaky_relu_8cpp.js @@ -1,5 +1,5 @@ -var compiler_2mir_interpreter_2src_2ops_2_leaky_re_l_u_8cpp = +var compiler_2mir_interpreter_2src_2ops_2_leaky_relu_8cpp = [ [ "mir_interpreter::LeakyReLUImpl< T >", "structmir__interpreter_1_1_leaky_re_l_u_impl.html", null ], - [ "LeakyReLU", "compiler_2mir-interpreter_2src_2ops_2_leaky_re_l_u_8cpp.html#a48dd1547b9010131974c17cba6e516b2", null ] + [ "LeakyReLU", "compiler_2mir-interpreter_2src_2ops_2_leaky_relu_8cpp.html#a48dd1547b9010131974c17cba6e516b2", null ] ]; \ No newline at end of file diff --git a/compiler_2mir-interpreter_2src_2ops_2_leaky_re_l_u_8cpp_source.html b/compiler_2mir-interpreter_2src_2ops_2_leaky_relu_8cpp_source.html similarity index 96% rename from compiler_2mir-interpreter_2src_2ops_2_leaky_re_l_u_8cpp_source.html rename to compiler_2mir-interpreter_2src_2ops_2_leaky_relu_8cpp_source.html index 29357308577..0ec69ac21a6 100644 --- a/compiler_2mir-interpreter_2src_2ops_2_leaky_re_l_u_8cpp_source.html +++ b/compiler_2mir-interpreter_2src_2ops_2_leaky_relu_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    LeakyReLU.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -162,16 +162,16 @@ -
    void LeakyReLU(const mir::TensorVariant &arg, float alpha, mir::TensorVariant &result)
    Definition LeakyReLU.cpp:44
    +
    void LeakyReLU(const mir::TensorVariant &arg, float alpha, mir::TensorVariant &result)
    Definition LeakyReLU.cpp:44
    - -
    static void run(const mir::TensorVariant &arg, float alpha, mir::TensorVariant &result)
    Definition LeakyReLU.cpp:32
    + +
    static void run(const mir::TensorVariant &arg, float alpha, mir::TensorVariant &result)
    Definition LeakyReLU.cpp:32
    diff --git a/compiler_2nest_2core_2examples_2_conv2_d_8cpp_source.html b/compiler_2nest_2core_2examples_2_conv2_d_8cpp_source.html index f9481789010..a35e056c781 100644 --- a/compiler_2nest_2core_2examples_2_conv2_d_8cpp_source.html +++ b/compiler_2nest_2core_2examples_2_conv2_d_8cpp_source.html @@ -116,7 +116,7 @@
    17#include <nest/Module.h>
    18
    -
    19int main(int, char **)
    +
    19int main(int, char **)
    20{
    21 // This example shows how to specify convolution with IFM(1x3x3) and Kernel(1x1x3x3) with nest
    22 // - STRIDE is 1, and there is no padding
    @@ -257,7 +257,7 @@
    DomainContext & domain(void)
    Definition Module.h:44
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/compiler_2nnc_2driver_2driver_8cpp.html b/compiler_2nnc_2driver_2_driver_8cpp.html similarity index 96% rename from compiler_2nnc_2driver_2driver_8cpp.html rename to compiler_2nnc_2driver_2_driver_8cpp.html index 94ff5b6c12b..811f696f23a 100644 --- a/compiler_2nnc_2driver_2driver_8cpp.html +++ b/compiler_2nnc_2driver_2_driver_8cpp.html @@ -63,7 +63,7 @@
    @@ -113,7 +113,7 @@ #include "Driver.h"
    #include <memory>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    Data Structures

    @@ -125,7 +125,7 @@ diff --git a/compiler_2nnc_2driver_2driver_8cpp_source.html b/compiler_2nnc_2driver_2_driver_8cpp_source.html similarity index 99% rename from compiler_2nnc_2driver_2driver_8cpp_source.html rename to compiler_2nnc_2driver_2_driver_8cpp_source.html index f340f71faf7..c4b78af4fb0 100644 --- a/compiler_2nnc_2driver_2driver_8cpp_source.html +++ b/compiler_2nnc_2driver_2_driver_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Driver.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -331,7 +331,7 @@ -
    void runDriver()
    main method to run compiler driver
    Definition Driver.cpp:208
    +
    void runDriver()
    main method to run compiler driver
    Definition Driver.cpp:208
    void registerPass(std::unique_ptr< Pass > pass)
    register pass in pass manager
    std::unique_ptr< mir::Graph > loadModel(std::string predict_net, std::string init_net, const std::vector< std::vector< int > > &input_shapes)
    @@ -359,7 +359,7 @@ diff --git a/compiler_2nnc_2driver_2_main_8cpp.js b/compiler_2nnc_2driver_2_main_8cpp.js deleted file mode 100644 index 1c01768ea50..00000000000 --- a/compiler_2nnc_2driver_2_main_8cpp.js +++ /dev/null @@ -1,4 +0,0 @@ -var compiler_2nnc_2driver_2_main_8cpp = -[ - [ "main", "compiler_2nnc_2driver_2_main_8cpp.html#ac0f2228420376f4db7e1274f2b41667c", null ] -]; \ No newline at end of file diff --git a/compiler_2nnc_2driver_2_main_8cpp.html b/compiler_2nnc_2driver_2main_8cpp.html similarity index 95% rename from compiler_2nnc_2driver_2_main_8cpp.html rename to compiler_2nnc_2driver_2main_8cpp.html index 35bb35ee3df..762d4cf8ba5 100644 --- a/compiler_2nnc_2driver_2_main_8cpp.html +++ b/compiler_2nnc_2driver_2main_8cpp.html @@ -63,7 +63,7 @@
    @@ -100,11 +100,11 @@ #include "pass/PassException.h"
    #include "Driver.h"
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    Namespaces

    - +

    Functions

    int main (int argc, const char *argv[])
    int main (int argc, const char *argv[])
     

    Function Documentation

    @@ -134,7 +134,7 @@

    -

    Definition at line 43 of file main.cpp.

    +

    Definition at line 43 of file main.cpp.

    44{
    45 int exit_code = EXIT_FAILURE;
    46
    @@ -183,7 +183,7 @@

    diff --git a/compiler_2nnc_2driver_2main_8cpp.js b/compiler_2nnc_2driver_2main_8cpp.js new file mode 100644 index 00000000000..936d6ae0fab --- /dev/null +++ b/compiler_2nnc_2driver_2main_8cpp.js @@ -0,0 +1,4 @@ +var compiler_2nnc_2driver_2main_8cpp = +[ + [ "main", "compiler_2nnc_2driver_2main_8cpp.html#ac0f2228420376f4db7e1274f2b41667c", null ] +]; \ No newline at end of file diff --git a/compiler_2nnc_2driver_2_main_8cpp_source.html b/compiler_2nnc_2driver_2main_8cpp_source.html similarity index 93% rename from compiler_2nnc_2driver_2_main_8cpp_source.html rename to compiler_2nnc_2driver_2main_8cpp_source.html index b7a0c9c6994..d65ec68febb 100644 --- a/compiler_2nnc_2driver_2_main_8cpp_source.html +++ b/compiler_2nnc_2driver_2main_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    main.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -140,7 +140,7 @@
    41}
    42
    -
    43int main(int argc, const char *argv[])
    +
    43int main(int argc, const char *argv[])
    44{
    45 int exit_code = EXIT_FAILURE;
    46
    @@ -183,13 +183,13 @@
    static CommandLine * getParser()
    singleton method
    void parseCommandLine(int argc, const char **argv, bool check_nonoptional=true)
    parse command line option
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/compiler_2onnx2tflite_2src_2driver_8cpp.html b/compiler_2onnx2tflite_2src_2_driver_8cpp.html similarity index 95% rename from compiler_2onnx2tflite_2src_2driver_8cpp.html rename to compiler_2onnx2tflite_2src_2_driver_8cpp.html index 9f004ebc3a3..43e56d18782 100644 --- a/compiler_2onnx2tflite_2src_2driver_8cpp.html +++ b/compiler_2onnx2tflite_2src_2_driver_8cpp.html @@ -63,7 +63,7 @@
    @@ -99,11 +99,11 @@ #include <exo/TFLExporter.h>
    #include <iostream>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    - +

    Functions

    int main (int argc, char **argv)
    int main (int argc, char **argv)
     

    Function Documentation

    @@ -133,7 +133,7 @@

    -

    Definition at line 52 of file Driver.cpp.

    +

    Definition at line 52 of file Driver.cpp.

    53{
    54 // onnx2tflite <mode> <path/to/onnx> <path/to/output>
    55 // modes: -t (text file); -b (binary file)
    @@ -181,7 +181,7 @@

    diff --git a/compiler_2onnx2tflite_2src_2_driver_8cpp.js b/compiler_2onnx2tflite_2src_2_driver_8cpp.js new file mode 100644 index 00000000000..c0b16e41d32 --- /dev/null +++ b/compiler_2onnx2tflite_2src_2_driver_8cpp.js @@ -0,0 +1,4 @@ +var compiler_2onnx2tflite_2src_2_driver_8cpp = +[ + [ "main", "compiler_2onnx2tflite_2src_2_driver_8cpp.html#a3c04138a5bfe5d72780bb7e82a18e627", null ] +]; \ No newline at end of file diff --git a/compiler_2onnx2tflite_2src_2driver_8cpp_source.html b/compiler_2onnx2tflite_2src_2_driver_8cpp_source.html similarity index 94% rename from compiler_2onnx2tflite_2src_2driver_8cpp_source.html rename to compiler_2onnx2tflite_2src_2_driver_8cpp_source.html index 8f28d27eef7..38e4c5ebfc2 100644 --- a/compiler_2onnx2tflite_2src_2driver_8cpp_source.html +++ b/compiler_2onnx2tflite_2src_2_driver_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Driver.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -149,7 +149,7 @@
    50// MIR-to-LOCO (mir2loco)
    51// LOCO-to-TFLITE (exo-tflite)
    -
    52int main(int argc, char **argv)
    +
    52int main(int argc, char **argv)
    53{
    54 // onnx2tflite <mode> <path/to/onnx> <path/to/output>
    55 // modes: -t (text file); -b (binary file)
    @@ -193,13 +193,13 @@
    std::unique_ptr< mir::Graph > loadModel(const std::string &filename)
    std::unique_ptr< mir::Graph > importModelFromTextFile(const std::string &filename)
    std::unique_ptr< mir::Graph > importModelFromBinaryFile(const std::string &filename)
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/compiler_2onnx2tflite_2src_2driver_8cpp.js b/compiler_2onnx2tflite_2src_2driver_8cpp.js deleted file mode 100644 index 1a5d60446bb..00000000000 --- a/compiler_2onnx2tflite_2src_2driver_8cpp.js +++ /dev/null @@ -1,4 +0,0 @@ -var compiler_2onnx2tflite_2src_2driver_8cpp = -[ - [ "main", "compiler_2onnx2tflite_2src_2driver_8cpp.html#a3c04138a5bfe5d72780bb7e82a18e627", null ] -]; \ No newline at end of file diff --git a/compiler_2onnxkit_2src_2_main_8cpp.js b/compiler_2onnxkit_2src_2_main_8cpp.js deleted file mode 100644 index e8076d30761..00000000000 --- a/compiler_2onnxkit_2src_2_main_8cpp.js +++ /dev/null @@ -1,4 +0,0 @@ -var compiler_2onnxkit_2src_2_main_8cpp = -[ - [ "main", "compiler_2onnxkit_2src_2_main_8cpp.html#a3c04138a5bfe5d72780bb7e82a18e627", null ] -]; \ No newline at end of file diff --git a/compiler_2onnxkit_2src_2_main_8cpp.html b/compiler_2onnxkit_2src_2main_8cpp.html similarity index 93% rename from compiler_2onnxkit_2src_2_main_8cpp.html rename to compiler_2onnxkit_2src_2main_8cpp.html index 820a7d26977..3fbd9b30a7f 100644 --- a/compiler_2onnxkit_2src_2_main_8cpp.html +++ b/compiler_2onnxkit_2src_2main_8cpp.html @@ -63,7 +63,7 @@
    @@ -99,11 +99,11 @@ #include <cli/App.h>
    #include <memory>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    - +

    Functions

    int main (int argc, char **argv)
    int main (int argc, char **argv)
     

    Function Documentation

    @@ -133,7 +133,7 @@

    -

    Definition at line 24 of file Main.cpp.

    +

    Definition at line 24 of file Main.cpp.

    25{
    26 cli::App app{argv[0]};
    27
    @@ -152,7 +152,7 @@

    diff --git a/compiler_2onnxkit_2src_2main_8cpp.js b/compiler_2onnxkit_2src_2main_8cpp.js new file mode 100644 index 00000000000..ab20daa15ab --- /dev/null +++ b/compiler_2onnxkit_2src_2main_8cpp.js @@ -0,0 +1,4 @@ +var compiler_2onnxkit_2src_2main_8cpp = +[ + [ "main", "compiler_2onnxkit_2src_2main_8cpp.html#a3c04138a5bfe5d72780bb7e82a18e627", null ] +]; \ No newline at end of file diff --git a/compiler_2onnxkit_2src_2_main_8cpp_source.html b/compiler_2onnxkit_2src_2main_8cpp_source.html similarity index 88% rename from compiler_2onnxkit_2src_2_main_8cpp_source.html rename to compiler_2onnxkit_2src_2main_8cpp_source.html index 0a8a4bf3f40..b8f838f96af 100644 --- a/compiler_2onnxkit_2src_2_main_8cpp_source.html +++ b/compiler_2onnxkit_2src_2main_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Main.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -121,7 +121,7 @@
    22#include <memory>
    23
    -
    24int main(int argc, char **argv)
    +
    24int main(int argc, char **argv)
    25{
    26 cli::App app{argv[0]};
    27
    @@ -133,7 +133,7 @@
    Definition App.h:30
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    @@ -141,7 +141,7 @@ diff --git a/compiler_2pepper-assert_2include_2pepper_2assert_8h.html b/compiler_2pepper-assert_2include_2pepper_2_assert_8h.html similarity index 91% rename from compiler_2pepper-assert_2include_2pepper_2assert_8h.html rename to compiler_2pepper-assert_2include_2pepper_2_assert_8h.html index 8cdaf56844f..46e2ec96cc4 100644 --- a/compiler_2pepper-assert_2include_2pepper_2assert_8h.html +++ b/compiler_2pepper-assert_2include_2pepper_2_assert_8h.html @@ -63,7 +63,7 @@
    @@ -96,11 +96,11 @@
    #include <cassert>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    - +

    Macros

    #define DBGARG(TYP, VAR)   TYP VAR
    #define DBGARG(TYP, VAR)   TYP VAR
     

    Macro Definition Documentation

    @@ -130,7 +130,7 @@

    -

    Definition at line 35 of file assert.h.

    +

    Definition at line 35 of file assert.h.

    @@ -139,7 +139,7 @@

    diff --git a/compiler_2pepper-assert_2include_2pepper_2_assert_8h.js b/compiler_2pepper-assert_2include_2pepper_2_assert_8h.js new file mode 100644 index 00000000000..1c11771bf84 --- /dev/null +++ b/compiler_2pepper-assert_2include_2pepper_2_assert_8h.js @@ -0,0 +1,4 @@ +var compiler_2pepper_assert_2include_2pepper_2_assert_8h = +[ + [ "DBGARG", "compiler_2pepper-assert_2include_2pepper_2_assert_8h.html#afa9c913328b470c7d1a0d71266961da1", null ] +]; \ No newline at end of file diff --git a/compiler_2pepper-assert_2include_2pepper_2assert_8h_source.html b/compiler_2pepper-assert_2include_2pepper_2_assert_8h_source.html similarity index 94% rename from compiler_2pepper-assert_2include_2pepper_2assert_8h_source.html rename to compiler_2pepper-assert_2include_2pepper_2_assert_8h_source.html index eede402d19c..72965324d10 100644 --- a/compiler_2pepper-assert_2include_2pepper_2assert_8h_source.html +++ b/compiler_2pepper-assert_2include_2pepper_2_assert_8h_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    assert.h
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -131,7 +131,7 @@
    32#ifdef NDEBUG
    33#define DBGARG(TYP, VAR) TYP
    34#else
    -
    35#define DBGARG(TYP, VAR) TYP VAR
    +
    35#define DBGARG(TYP, VAR) TYP VAR
    36#endif // NDEBUG
    37
    38#endif // __PEPPER_ASSERT_H__
    @@ -140,7 +140,7 @@ diff --git a/compiler_2pepper-assert_2include_2pepper_2assert_8h.js b/compiler_2pepper-assert_2include_2pepper_2assert_8h.js deleted file mode 100644 index 26a75751a0e..00000000000 --- a/compiler_2pepper-assert_2include_2pepper_2assert_8h.js +++ /dev/null @@ -1,4 +0,0 @@ -var compiler_2pepper_assert_2include_2pepper_2assert_8h = -[ - [ "DBGARG", "compiler_2pepper-assert_2include_2pepper_2assert_8h.html#afa9c913328b470c7d1a0d71266961da1", null ] -]; \ No newline at end of file diff --git a/compiler_2q-implant_2driver_2driver_8cpp.html b/compiler_2q-implant_2driver_2_driver_8cpp.html similarity index 97% rename from compiler_2q-implant_2driver_2driver_8cpp.html rename to compiler_2q-implant_2driver_2_driver_8cpp.html index 006a1156f38..f76a1ec3bef 100644 --- a/compiler_2q-implant_2driver_2driver_8cpp.html +++ b/compiler_2q-implant_2driver_2_driver_8cpp.html @@ -63,7 +63,7 @@
    @@ -105,11 +105,11 @@ #include <iostream>
    #include <string>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    - +

    Functions

    int entry (int argc, char **argv)
    int entry (int argc, char **argv)
     Dump IR for given arguments.
     
    @@ -145,7 +145,7 @@

    -

    Definition at line 33 of file Driver.cpp.

    +

    Definition at line 33 of file Driver.cpp.

    34{
    35 arser::Arser arser("q-implant provides circle model quantization");
    36
    @@ -239,7 +239,7 @@

    diff --git a/compiler_2q-implant_2driver_2_driver_8cpp.js b/compiler_2q-implant_2driver_2_driver_8cpp.js new file mode 100644 index 00000000000..7d53cdcc054 --- /dev/null +++ b/compiler_2q-implant_2driver_2_driver_8cpp.js @@ -0,0 +1,4 @@ +var compiler_2q_implant_2driver_2_driver_8cpp = +[ + [ "entry", "compiler_2q-implant_2driver_2_driver_8cpp.html#a0bd2da0b208d77121c01ef3a7e7ae198", null ] +]; \ No newline at end of file diff --git a/compiler_2q-implant_2driver_2driver_8cpp_source.html b/compiler_2q-implant_2driver_2_driver_8cpp_source.html similarity index 95% rename from compiler_2q-implant_2driver_2driver_8cpp_source.html rename to compiler_2q-implant_2driver_2_driver_8cpp_source.html index 312ad9dffeb..580f9f06e35 100644 --- a/compiler_2q-implant_2driver_2driver_8cpp_source.html +++ b/compiler_2q-implant_2driver_2_driver_8cpp_source.html @@ -68,7 +68,7 @@

    @@ -97,7 +97,7 @@
    Driver.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2023 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -130,7 +130,7 @@
    31using namespace q_implant;
    32
    -
    33int entry(int argc, char **argv)
    +
    33int entry(int argc, char **argv)
    34{
    35 arser::Arser arser("q-implant provides circle model quantization");
    36
    @@ -217,7 +217,7 @@
    void write(loco::Graph *g)
    Definition QImplant.cpp:205
    -
    int entry(int argc, char **argv)
    Dump IR for given arguments.
    Definition Driver.cpp:33
    +
    int entry(int argc, char **argv)
    Dump IR for given arguments.
    Definition Driver.cpp:33
    Definition arser.h:38
    bool validate(luci::PartitionTable &partition)
    @@ -228,7 +228,7 @@ diff --git a/compiler_2q-implant_2driver_2driver_8cpp.js b/compiler_2q-implant_2driver_2driver_8cpp.js deleted file mode 100644 index 4b1d921f278..00000000000 --- a/compiler_2q-implant_2driver_2driver_8cpp.js +++ /dev/null @@ -1,4 +0,0 @@ -var compiler_2q_implant_2driver_2driver_8cpp = -[ - [ "entry", "compiler_2q-implant_2driver_2driver_8cpp.html#a0bd2da0b208d77121c01ef3a7e7ae198", null ] -]; \ No newline at end of file diff --git a/compiler_2record-minmax_2driver_2driver_8cpp.html b/compiler_2record-minmax_2driver_2_driver_8cpp.html similarity index 94% rename from compiler_2record-minmax_2driver_2driver_8cpp.html rename to compiler_2record-minmax_2driver_2_driver_8cpp.html index de15ee9caeb..c622259bf43 100644 --- a/compiler_2record-minmax_2driver_2driver_8cpp.html +++ b/compiler_2record-minmax_2driver_2_driver_8cpp.html @@ -63,7 +63,7 @@
    @@ -100,13 +100,13 @@ #include <luci/UserSettings.h>
    #include <luci/Log.h>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    - + - +

    Functions

    void print_version (void)
    void print_version (void)
     
    int entry (const int argc, char **argv)
    int entry (const int argc, char **argv)
     Dump IR for given arguments.
     
    @@ -142,7 +142,7 @@

    -

    Definition at line 33 of file Driver.cpp.

    +

    Definition at line 33 of file Driver.cpp.

    34{
    35 using namespace record_minmax;
    36
    @@ -151,7 +151,7 @@

    39 arser::Arser arser(

    40 "Embedding min/max values of activations to the circle model for post-training quantization");
    41
    - +
    44
    45 arser.add_argument("--input_model").required(true).help("Input model filepath");
    @@ -346,7 +346,7 @@

    static void add_version(Arser &arser, const std::function< void(void)> &func)
    Definition arser.h:733

    static void add_verbose(Arser &arser)
    Definition arser.h:743
    -
    void print_version(void)
    Definition Driver.cpp:35
    +
    void print_version(void)
    Definition Driver.cpp:35
    Definition arser.h:38
    @@ -355,7 +355,7 @@

    static UserSettings * settings()

    -

    References arser::Helper::add_verbose(), arser::Helper::add_version(), INFO, record_minmax::RecordMinMax::initialize(), LOGGER, print_version(), record_minmax::RecordMinMax::profileData(), record_minmax::RecordMinMax::profileDataInParallel(), record_minmax::RecordMinMax::profileDataWithRandomInputs(), record_minmax::RecordMinMax::profileRawData(), record_minmax::RecordMinMax::profileRawDataDirectory(), luci::UserSettings::ProfilingDataGen, record_minmax::RecordMinMax::saveModel(), and luci::UserSettings::settings().

    +

    References arser::Helper::add_verbose(), arser::Helper::add_version(), INFO, record_minmax::RecordMinMax::initialize(), LOGGER, print_version(), record_minmax::RecordMinMax::profileData(), record_minmax::RecordMinMax::profileDataInParallel(), record_minmax::RecordMinMax::profileDataWithRandomInputs(), record_minmax::RecordMinMax::profileRawData(), record_minmax::RecordMinMax::profileRawDataDirectory(), luci::UserSettings::ProfilingDataGen, record_minmax::RecordMinMax::saveModel(), and luci::UserSettings::settings().

    @@ -375,7 +375,7 @@

    -

    Definition at line 27 of file Driver.cpp.

    +

    Definition at line 27 of file Driver.cpp.

    28{
    29 std::cout << "record-minmax version " << vconone::get_string() << std::endl;
    30 std::cout << vconone::get_copyright() << std::endl;
    @@ -392,7 +392,7 @@

    diff --git a/compiler_2record-minmax_2driver_2_driver_8cpp.js b/compiler_2record-minmax_2driver_2_driver_8cpp.js new file mode 100644 index 00000000000..6b008ee59ee --- /dev/null +++ b/compiler_2record-minmax_2driver_2_driver_8cpp.js @@ -0,0 +1,5 @@ +var compiler_2record_minmax_2driver_2_driver_8cpp = +[ + [ "entry", "compiler_2record-minmax_2driver_2_driver_8cpp.html#ad0f47bc81bc604e8bc1d169d370f2000", null ], + [ "print_version", "compiler_2record-minmax_2driver_2_driver_8cpp.html#ac6230d495fc909bb61195c45f703d492", null ] +]; \ No newline at end of file diff --git a/compiler_2record-minmax_2driver_2driver_8cpp_source.html b/compiler_2record-minmax_2driver_2_driver_8cpp_source.html similarity index 95% rename from compiler_2record-minmax_2driver_2driver_8cpp_source.html rename to compiler_2record-minmax_2driver_2_driver_8cpp_source.html index a1d98155cc9..eb1220d9c20 100644 --- a/compiler_2record-minmax_2driver_2driver_8cpp_source.html +++ b/compiler_2record-minmax_2driver_2_driver_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Driver.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -124,7 +124,7 @@
    25#include <luci/Log.h>
    26
    -
    27void print_version(void)
    +
    27void print_version(void)
    28{
    29 std::cout << "record-minmax version " << vconone::get_string() << std::endl;
    30 std::cout << vconone::get_copyright() << std::endl;
    @@ -132,7 +132,7 @@
    32
    -
    33int entry(const int argc, char **argv)
    +
    33int entry(const int argc, char **argv)
    34{
    35 using namespace record_minmax;
    36
    @@ -141,7 +141,7 @@
    40 "Embedding min/max values of activations to the circle model for post-training quantization");
    41
    - +
    44
    45 arser.add_argument("--input_model").required(true).help("Input model filepath");
    @@ -347,8 +347,8 @@
    void profileData(const std::string &input_data_path)
    void profileRawDataDirectory(const std::string &input_data_path)
    -
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    -
    void print_version(void)
    Definition Driver.cpp:35
    +
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    +
    void print_version(void)
    Definition Driver.cpp:35
    Definition arser.h:38
    @@ -362,7 +362,7 @@ diff --git a/compiler_2record-minmax_2driver_2driver_8cpp.js b/compiler_2record-minmax_2driver_2driver_8cpp.js deleted file mode 100644 index 0826cb3e1b0..00000000000 --- a/compiler_2record-minmax_2driver_2driver_8cpp.js +++ /dev/null @@ -1,5 +0,0 @@ -var compiler_2record_minmax_2driver_2driver_8cpp = -[ - [ "entry", "compiler_2record-minmax_2driver_2driver_8cpp.html#ad0f47bc81bc604e8bc1d169d370f2000", null ], - [ "print_version", "compiler_2record-minmax_2driver_2driver_8cpp.html#ac6230d495fc909bb61195c45f703d492", null ] -]; \ No newline at end of file diff --git a/compiler_2souschef_2include_2souschef_2_registry_8h_source.html b/compiler_2souschef_2include_2souschef_2_registry_8h_source.html index 5d5250cacb0..0c2084bf9ad 100644 --- a/compiler_2souschef_2include_2souschef_2_registry_8h_source.html +++ b/compiler_2souschef_2include_2souschef_2_registry_8h_source.html @@ -128,9 +128,9 @@
    28{
    29public:
    -
    30 void add(const std::string &name, std::unique_ptr<T> &&entry)
    +
    30 void add(const std::string &name, std::unique_ptr<T> &&entry)
    31 {
    -
    32 _content[name] = std::move(entry);
    +
    32 _content[name] = std::move(entry);
    33 }
    34
    @@ -147,7 +147,7 @@
    const T & lookup(const std::string &name) const
    Definition Registry.h:35
    void add(const std::string &name, std::unique_ptr< T > &&entry)
    Definition Registry.h:30
    -
    int entry(const int argc, char **argv)
    Definition Driver.cpp:53
    +
    int entry(const int argc, char **argv)
    Definition Driver.cpp:53
    This file provides string <-> number cast helpers.
    Definition Arguments.h:24
    diff --git a/compiler_2tf2tflite_2src_2driver_8cpp.html b/compiler_2tf2tflite_2src_2_driver_8cpp.html similarity index 96% rename from compiler_2tf2tflite_2src_2driver_8cpp.html rename to compiler_2tf2tflite_2src_2_driver_8cpp.html index 1c0930c455e..bc22968715f 100644 --- a/compiler_2tf2tflite_2src_2driver_8cpp.html +++ b/compiler_2tf2tflite_2src_2_driver_8cpp.html @@ -63,7 +63,7 @@
    @@ -110,18 +110,18 @@ #include <stdexcept>
    #include <string>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    - + - +

    Macros

    #define LOGGER(name)    ::Logger name { ::LoggingContext::get() }
    #define LOGGER(name)    ::Logger name { ::LoggingContext::get() }
     
    #define INFO(name)   HERMES_INFO(name)
    #define INFO(name)   HERMES_INFO(name)
     
    - +

    Functions

    int main (int argc, char **argv)
    int main (int argc, char **argv)
     

    Macro Definition Documentation

    @@ -141,7 +141,7 @@

    -

    Definition at line 90 of file Driver.cpp.

    +

    Definition at line 90 of file Driver.cpp.

    @@ -161,7 +161,7 @@

    -

    Definition at line 87 of file Driver.cpp.

    +

    Definition at line 87 of file Driver.cpp.

    88 { ::LoggingContext::get() }
    @@ -193,7 +193,7 @@

    -

    Definition at line 92 of file Driver.cpp.

    +

    Definition at line 92 of file Driver.cpp.

    diff --git a/compiler_2tf2tflite_2src_2_driver_8cpp.js b/compiler_2tf2tflite_2src_2_driver_8cpp.js new file mode 100644 index 00000000000..2e7464c218a --- /dev/null +++ b/compiler_2tf2tflite_2src_2_driver_8cpp.js @@ -0,0 +1,6 @@ +var compiler_2tf2tflite_2src_2_driver_8cpp = +[ + [ "INFO", "compiler_2tf2tflite_2src_2_driver_8cpp.html#a7af9b9d1a859db99acb5e3447167b029", null ], + [ "LOGGER", "compiler_2tf2tflite_2src_2_driver_8cpp.html#a5495ed6c3fae204a397f0edad87f820e", null ], + [ "main", "compiler_2tf2tflite_2src_2_driver_8cpp.html#a3c04138a5bfe5d72780bb7e82a18e627", null ] +]; \ No newline at end of file diff --git a/compiler_2tf2tflite_2src_2driver_8cpp_source.html b/compiler_2tf2tflite_2src_2_driver_8cpp_source.html similarity index 96% rename from compiler_2tf2tflite_2src_2driver_8cpp_source.html rename to compiler_2tf2tflite_2src_2_driver_8cpp_source.html index fd3f841126c..dd566710a02 100644 --- a/compiler_2tf2tflite_2src_2driver_8cpp_source.html +++ b/compiler_2tf2tflite_2src_2_driver_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Driver.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -184,14 +184,14 @@
    85} // namespace
    86
    -
    87#define LOGGER(name) \
    +
    87#define LOGGER(name) \
    88 ::Logger name { ::LoggingContext::get() }
    89
    -
    90#define INFO(name) HERMES_INFO(name)
    +
    90#define INFO(name) HERMES_INFO(name)
    91
    -
    92int main(int argc, char **argv)
    +
    92int main(int argc, char **argv)
    93{
    95
    @@ -296,7 +296,7 @@
    KnobTrait< K >::ValueType get(void)
    std::vector< std::unique_ptr< ParsedTensor > > parse(const char *info_path)
    Function to parse test.info.
    void load_customop_conf(const std::string &path, moco::ModelSignature &sig)
    Loads customop.conf into ModelSignature.
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    static hermes::Context * get(void)
    virtual void append(std::unique_ptr< Sink > &&)=0
    static hermes::Context * get(void)
    @@ -312,7 +312,7 @@ diff --git a/compiler_2tf2tflite_2src_2driver_8cpp.js b/compiler_2tf2tflite_2src_2driver_8cpp.js deleted file mode 100644 index 8a9f0e01761..00000000000 --- a/compiler_2tf2tflite_2src_2driver_8cpp.js +++ /dev/null @@ -1,6 +0,0 @@ -var compiler_2tf2tflite_2src_2driver_8cpp = -[ - [ "INFO", "compiler_2tf2tflite_2src_2driver_8cpp.html#a7af9b9d1a859db99acb5e3447167b029", null ], - [ "LOGGER", "compiler_2tf2tflite_2src_2driver_8cpp.html#a5495ed6c3fae204a397f0edad87f820e", null ], - [ "main", "compiler_2tf2tflite_2src_2driver_8cpp.html#a3c04138a5bfe5d72780bb7e82a18e627", null ] -]; \ No newline at end of file diff --git a/compiler_2tfkit_2src_2_main_8cpp.js b/compiler_2tfkit_2src_2_main_8cpp.js deleted file mode 100644 index 0b5f9316b87..00000000000 --- a/compiler_2tfkit_2src_2_main_8cpp.js +++ /dev/null @@ -1,4 +0,0 @@ -var compiler_2tfkit_2src_2_main_8cpp = -[ - [ "main", "compiler_2tfkit_2src_2_main_8cpp.html#a3c04138a5bfe5d72780bb7e82a18e627", null ] -]; \ No newline at end of file diff --git a/compiler_2tfkit_2src_2_main_8cpp.html b/compiler_2tfkit_2src_2main_8cpp.html similarity index 94% rename from compiler_2tfkit_2src_2_main_8cpp.html rename to compiler_2tfkit_2src_2main_8cpp.html index c57e5724e16..298b6179fe7 100644 --- a/compiler_2tfkit_2src_2_main_8cpp.html +++ b/compiler_2tfkit_2src_2main_8cpp.html @@ -63,7 +63,7 @@
    @@ -102,11 +102,11 @@ #include <cli/App.h>
    #include <memory>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    - +

    Functions

    int main (int argc, char **argv)
    int main (int argc, char **argv)
     

    Function Documentation

    @@ -136,7 +136,7 @@

    -

    Definition at line 27 of file Main.cpp.

    +

    Definition at line 27 of file Main.cpp.

    28{
    29 cli::App app{argv[0]};
    30
    @@ -158,7 +158,7 @@

    diff --git a/compiler_2tfkit_2src_2main_8cpp.js b/compiler_2tfkit_2src_2main_8cpp.js new file mode 100644 index 00000000000..08c5575e990 --- /dev/null +++ b/compiler_2tfkit_2src_2main_8cpp.js @@ -0,0 +1,4 @@ +var compiler_2tfkit_2src_2main_8cpp = +[ + [ "main", "compiler_2tfkit_2src_2main_8cpp.html#a3c04138a5bfe5d72780bb7e82a18e627", null ] +]; \ No newline at end of file diff --git a/compiler_2tfkit_2src_2_main_8cpp_source.html b/compiler_2tfkit_2src_2main_8cpp_source.html similarity index 90% rename from compiler_2tfkit_2src_2_main_8cpp_source.html rename to compiler_2tfkit_2src_2main_8cpp_source.html index f891594daf1..c7219bfa4c6 100644 --- a/compiler_2tfkit_2src_2_main_8cpp_source.html +++ b/compiler_2tfkit_2src_2main_8cpp_source.html @@ -68,7 +68,7 @@

    @@ -97,7 +97,7 @@
    Main.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -124,7 +124,7 @@
    25#include <memory>
    26
    -
    27int main(int argc, char **argv)
    +
    27int main(int argc, char **argv)
    28{
    29 cli::App app{argv[0]};
    30
    @@ -142,7 +142,7 @@
    Definition App.h:30
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    @@ -150,7 +150,7 @@ diff --git a/compiler_2tfl-inspect_2driver_2driver_8cpp.html b/compiler_2tfl-inspect_2driver_2_driver_8cpp.html similarity index 96% rename from compiler_2tfl-inspect_2driver_2driver_8cpp.html rename to compiler_2tfl-inspect_2driver_2_driver_8cpp.html index 6ad70f744a4..42777b5adb7 100644 --- a/compiler_2tfl-inspect_2driver_2driver_8cpp.html +++ b/compiler_2tfl-inspect_2driver_2_driver_8cpp.html @@ -63,7 +63,7 @@
    @@ -104,11 +104,11 @@ #include <vector>
    #include <string>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    - +

    Functions

    int entry (int argc, char **argv)
    int entry (int argc, char **argv)
     Dump IR for given arguments.
     
    @@ -144,7 +144,7 @@

    -

    Definition at line 29 of file Driver.cpp.

    +

    Definition at line 29 of file Driver.cpp.

    30{
    31 arser::Arser arser{"tfl-inspect allows users to retrieve various information from a TensorFlow "
    32 "Lite model files"};
    @@ -216,7 +216,7 @@

    diff --git a/compiler_2tfl-inspect_2driver_2_driver_8cpp.js b/compiler_2tfl-inspect_2driver_2_driver_8cpp.js new file mode 100644 index 00000000000..13e07a76a6b --- /dev/null +++ b/compiler_2tfl-inspect_2driver_2_driver_8cpp.js @@ -0,0 +1,4 @@ +var compiler_2tfl_inspect_2driver_2_driver_8cpp = +[ + [ "entry", "compiler_2tfl-inspect_2driver_2_driver_8cpp.html#a0bd2da0b208d77121c01ef3a7e7ae198", null ] +]; \ No newline at end of file diff --git a/compiler_2tfl-inspect_2driver_2driver_8cpp_source.html b/compiler_2tfl-inspect_2driver_2_driver_8cpp_source.html similarity index 94% rename from compiler_2tfl-inspect_2driver_2driver_8cpp_source.html rename to compiler_2tfl-inspect_2driver_2_driver_8cpp_source.html index 7de4be1f10e..28e6f521927 100644 --- a/compiler_2tfl-inspect_2driver_2driver_8cpp_source.html +++ b/compiler_2tfl-inspect_2driver_2_driver_8cpp_source.html @@ -68,7 +68,7 @@

    @@ -97,7 +97,7 @@
    Driver.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -126,7 +126,7 @@
    27#include <string>
    28
    -
    29int entry(int argc, char **argv)
    +
    29int entry(int argc, char **argv)
    30{
    31 arser::Arser arser{"tfl-inspect allows users to retrieve various information from a TensorFlow "
    32 "Lite model files"};
    @@ -189,7 +189,7 @@
    DataBuffer load(void) const
    Definition FileLoader.h:39
    -
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    +
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    void dump(const coco::Op *op, int indent)
    Definition Dump.cpp:177
    Definition arser.h:38
    @@ -197,7 +197,7 @@ diff --git a/compiler_2tfl-inspect_2driver_2driver_8cpp.js b/compiler_2tfl-inspect_2driver_2driver_8cpp.js deleted file mode 100644 index a472f0eb6e3..00000000000 --- a/compiler_2tfl-inspect_2driver_2driver_8cpp.js +++ /dev/null @@ -1,4 +0,0 @@ -var compiler_2tfl_inspect_2driver_2driver_8cpp = -[ - [ "entry", "compiler_2tfl-inspect_2driver_2driver_8cpp.html#a0bd2da0b208d77121c01ef3a7e7ae198", null ] -]; \ No newline at end of file diff --git a/compiler_2tfl-verify_2src_2driver_8cpp.html b/compiler_2tfl-verify_2src_2_driver_8cpp.html similarity index 95% rename from compiler_2tfl-verify_2src_2driver_8cpp.html rename to compiler_2tfl-verify_2src_2_driver_8cpp.html index 6ba9805734e..87c7d01fe17 100644 --- a/compiler_2tfl-verify_2src_2driver_8cpp.html +++ b/compiler_2tfl-verify_2src_2_driver_8cpp.html @@ -63,7 +63,7 @@
    @@ -100,11 +100,11 @@ #include <memory>
    #include <string>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    - +

    Functions

    int entry (int argc, char **argv)
    int entry (int argc, char **argv)
     Dump IR for given arguments.
     
    @@ -140,7 +140,7 @@

    -

    Definition at line 25 of file Driver.cpp.

    +

    Definition at line 25 of file Driver.cpp.

    26{
    28 arser.add_argument("tflite").help("TFLite file path to verify");
    @@ -185,7 +185,7 @@

    diff --git a/compiler_2tfl-verify_2src_2_driver_8cpp.js b/compiler_2tfl-verify_2src_2_driver_8cpp.js new file mode 100644 index 00000000000..9720cd835a9 --- /dev/null +++ b/compiler_2tfl-verify_2src_2_driver_8cpp.js @@ -0,0 +1,4 @@ +var compiler_2tfl_verify_2src_2_driver_8cpp = +[ + [ "entry", "compiler_2tfl-verify_2src_2_driver_8cpp.html#a0bd2da0b208d77121c01ef3a7e7ae198", null ] +]; \ No newline at end of file diff --git a/compiler_2tfl-verify_2src_2driver_8cpp_source.html b/compiler_2tfl-verify_2src_2_driver_8cpp_source.html similarity index 91% rename from compiler_2tfl-verify_2src_2driver_8cpp_source.html rename to compiler_2tfl-verify_2src_2_driver_8cpp_source.html index 84ea7d99ae0..78f815d57b2 100644 --- a/compiler_2tfl-verify_2src_2driver_8cpp_source.html +++ b/compiler_2tfl-verify_2src_2_driver_8cpp_source.html @@ -68,7 +68,7 @@

    @@ -97,7 +97,7 @@
    Driver.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -122,7 +122,7 @@
    23#include <string>
    24
    -
    25int entry(int argc, char **argv)
    +
    25int entry(int argc, char **argv)
    26{
    28 arser.add_argument("tflite").help("TFLite file path to verify");
    @@ -160,7 +160,7 @@
    -
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    +
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    Definition arser.h:38
    @@ -168,7 +168,7 @@ diff --git a/compiler_2tfl-verify_2src_2driver_8cpp.js b/compiler_2tfl-verify_2src_2driver_8cpp.js deleted file mode 100644 index e7e771b9097..00000000000 --- a/compiler_2tfl-verify_2src_2driver_8cpp.js +++ /dev/null @@ -1,4 +0,0 @@ -var compiler_2tfl_verify_2src_2driver_8cpp = -[ - [ "entry", "compiler_2tfl-verify_2src_2driver_8cpp.html#a0bd2da0b208d77121c01ef3a7e7ae198", null ] -]; \ No newline at end of file diff --git a/compiler_2tflchef_2core_2src_2_op_2_leaky_re_l_u_8h_source.html b/compiler_2tflchef_2core_2src_2_op_2_leaky_re_l_u_8h_source.html index 9ed45f2c6fe..f7cc8aa9e5d 100644 --- a/compiler_2tflchef_2core_2src_2_op_2_leaky_re_l_u_8h_source.html +++ b/compiler_2tflchef_2core_2src_2_op_2_leaky_re_l_u_8h_source.html @@ -155,13 +155,13 @@
    48
    49#endif // __OP_LEAKY_RELU_H__
    -
    flatbuffers::Offset< void > value(flatbuffers::FlatBufferBuilder &fbb) const override
    Definition LeakyRelu.cpp:19
    +
    flatbuffers::Offset< void > value(flatbuffers::FlatBufferBuilder &fbb) const override
    Definition LeakyRelu.cpp:19
    LeakyReluChef(const tflchef::Operation *operation)
    Definition LeakyRelu.h:25
    tflite::BuiltinOperator code(void) const override
    Definition LeakyRelu.h:31
    tflite::BuiltinOptions type(void) const override
    Definition LeakyRelu.h:33
    Helper class to hold data needed in creation of a FlatBuffer. To serialize data, you typically call o...
    -
    std::unique_ptr< OpChef > create(const tflchef::Operation *operation) const override
    Definition LeakyRelu.cpp:31
    +
    std::unique_ptr< OpChef > create(const tflchef::Operation *operation) const override
    Definition LeakyRelu.cpp:31
    diff --git a/compiler_2tflchef_2core_2src_2_op_2_leaky_re_l_u_8cpp.html b/compiler_2tflchef_2core_2src_2_op_2_leaky_relu_8cpp.html similarity index 94% rename from compiler_2tflchef_2core_2src_2_op_2_leaky_re_l_u_8cpp.html rename to compiler_2tflchef_2core_2src_2_op_2_leaky_relu_8cpp.html index 17e42437066..7b8dcc4321a 100644 --- a/compiler_2tflchef_2core_2src_2_op_2_leaky_re_l_u_8cpp.html +++ b/compiler_2tflchef_2core_2src_2_op_2_leaky_relu_8cpp.html @@ -63,7 +63,7 @@
    diff --git a/compiler_2tflchef_2core_2src_2_op_2_leaky_re_l_u_8cpp_source.html b/compiler_2tflchef_2core_2src_2_op_2_leaky_relu_8cpp_source.html similarity index 95% rename from compiler_2tflchef_2core_2src_2_op_2_leaky_re_l_u_8cpp_source.html rename to compiler_2tflchef_2core_2src_2_op_2_leaky_relu_8cpp_source.html index ce90d5d9885..d223cc4f19f 100644 --- a/compiler_2tflchef_2core_2src_2_op_2_leaky_re_l_u_8cpp_source.html +++ b/compiler_2tflchef_2core_2src_2_op_2_leaky_relu_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    LeakyRelu.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -136,18 +136,18 @@
    34}
    -
    flatbuffers::Offset< void > value(flatbuffers::FlatBufferBuilder &fbb) const override
    Definition LeakyRelu.cpp:19
    +
    flatbuffers::Offset< void > value(flatbuffers::FlatBufferBuilder &fbb) const override
    Definition LeakyRelu.cpp:19
    Helper class to hold data needed in creation of a FlatBuffer. To serialize data, you typically call o...
    void Finish(Offset< T > root, const char *file_identifier=nullptr)
    Finish serializing a buffer by writing the root offset.
    -
    std::unique_ptr< OpChef > create(const tflchef::Operation *operation) const override
    Definition LeakyRelu.cpp:31
    +
    std::unique_ptr< OpChef > create(const tflchef::Operation *operation) const override
    Definition LeakyRelu.cpp:31
    diff --git a/compiler_2tflchef_2tflite_2src_2_op_2_leaky_re_l_u_8cpp.html b/compiler_2tflchef_2tflite_2src_2_op_2_leaky_relu_8cpp.html similarity index 95% rename from compiler_2tflchef_2tflite_2src_2_op_2_leaky_re_l_u_8cpp.html rename to compiler_2tflchef_2tflite_2src_2_op_2_leaky_relu_8cpp.html index e90c4bb7d93..892ae72cd0a 100644 --- a/compiler_2tflchef_2tflite_2src_2_op_2_leaky_re_l_u_8cpp.html +++ b/compiler_2tflchef_2tflite_2src_2_op_2_leaky_relu_8cpp.html @@ -63,7 +63,7 @@
    @@ -97,7 +97,7 @@
    #include "LeakyRelu.h"
    #include "Convert.h"
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    @@ -109,7 +109,7 @@ diff --git a/compiler_2tflchef_2tflite_2src_2_op_2_leaky_re_l_u_8cpp_source.html b/compiler_2tflchef_2tflite_2src_2_op_2_leaky_relu_8cpp_source.html similarity index 96% rename from compiler_2tflchef_2tflite_2src_2_op_2_leaky_re_l_u_8cpp_source.html rename to compiler_2tflchef_2tflite_2src_2_op_2_leaky_relu_8cpp_source.html index 701942deed4..10c2d50a8d4 100644 --- a/compiler_2tflchef_2tflite_2src_2_op_2_leaky_re_l_u_8cpp_source.html +++ b/compiler_2tflchef_2tflite_2src_2_op_2_leaky_relu_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    LeakyRelu.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -148,8 +148,8 @@
    45
    46} // namespace tflchef
    Loads TF lite file and provides helpers to access attributes.
    -
    void filler(const tflite::Operator *op, TFliteImport *import, tflchef::ModelRecipe *model_recipe) const override
    Definition LeakyRelu.cpp:24
    -
    tflchef::Operation * build(RecipeChefContext *ctx) const override
    Definition LeakyRelu.cpp:30
    +
    void filler(const tflite::Operator *op, TFliteImport *import, tflchef::ModelRecipe *model_recipe) const override
    Definition LeakyRelu.cpp:24
    +
    tflchef::Operation * build(RecipeChefContext *ctx) const override
    Definition LeakyRelu.cpp:30
    tflchef::Operation * chefop
    @@ -159,7 +159,7 @@ diff --git a/compiler_2tflchef_2tflite_2src_2_op_2include_2_leaky_re_l_u_8h_source.html b/compiler_2tflchef_2tflite_2src_2_op_2include_2_leaky_re_l_u_8h_source.html index 5339f85cf88..e72c3136071 100644 --- a/compiler_2tflchef_2tflite_2src_2_op_2include_2_leaky_re_l_u_8h_source.html +++ b/compiler_2tflchef_2tflite_2src_2_op_2include_2_leaky_re_l_u_8h_source.html @@ -138,8 +138,8 @@
    Loads TF lite file and provides helpers to access attributes.
    Interface for each operators to build tflchef.
    tflchef operator builder for LeakyReLU
    Definition LeakyRelu.h:29
    -
    void filler(const tflite::Operator *op, TFliteImport *import, tflchef::ModelRecipe *model_recipe) const override
    Definition LeakyRelu.cpp:24
    -
    tflchef::Operation * build(RecipeChefContext *ctx) const override
    Definition LeakyRelu.cpp:30
    +
    void filler(const tflite::Operator *op, TFliteImport *import, tflchef::ModelRecipe *model_recipe) const override
    Definition LeakyRelu.cpp:24
    +
    tflchef::Operation * build(RecipeChefContext *ctx) const override
    Definition LeakyRelu.cpp:30
    diff --git a/compiler_2tflchef_2tools_2console_2driver_8cpp.html b/compiler_2tflchef_2tools_2console_2_driver_8cpp.html similarity index 89% rename from compiler_2tflchef_2tools_2console_2driver_8cpp.html rename to compiler_2tflchef_2tools_2console_2_driver_8cpp.html index 458e83a9a47..ba98e9c7bbf 100644 --- a/compiler_2tflchef_2tools_2console_2driver_8cpp.html +++ b/compiler_2tflchef_2tools_2console_2_driver_8cpp.html @@ -63,7 +63,7 @@
    @@ -100,13 +100,13 @@ #include <google/protobuf/text_format.h>
    #include <iostream>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    Namespaces

    - + - +

    Functions

    int entry_stream (std::istream &is)
    int entry_stream (std::istream &is)
     
    int entry (int, char **)
    int entry (int, char **)
     Dump IR for given arguments.
     
    @@ -142,14 +142,14 @@

    -

    Definition at line 60 of file Driver.cpp.

    +

    Definition at line 60 of file Driver.cpp.

    61{
    62 // forward to entry_stream
    -
    63 return entry_stream(std::cin);
    +
    63 return entry_stream(std::cin);
    64}
    -
    int entry_stream(std::istream &is)
    Definition Driver.cpp:25
    +
    int entry_stream(std::istream &is)
    Definition Driver.cpp:25
    -

    References entry_stream().

    +

    References entry_stream().

    @@ -169,7 +169,7 @@

    -

    Definition at line 25 of file Driver.cpp.

    +

    Definition at line 25 of file Driver.cpp.

    26{
    27 int32_t model_version = 1;
    28
    @@ -214,7 +214,7 @@

    diff --git a/compiler_2tflchef_2tools_2console_2_driver_8cpp.js b/compiler_2tflchef_2tools_2console_2_driver_8cpp.js new file mode 100644 index 00000000000..83c82253a1c --- /dev/null +++ b/compiler_2tflchef_2tools_2console_2_driver_8cpp.js @@ -0,0 +1,5 @@ +var compiler_2tflchef_2tools_2console_2_driver_8cpp = +[ + [ "entry", "compiler_2tflchef_2tools_2console_2_driver_8cpp.html#ab0ce61e9019a579c849fb5b37bd2c23e", null ], + [ "entry_stream", "compiler_2tflchef_2tools_2console_2_driver_8cpp.html#abe895577b82df8231101784f272cc68d", null ] +]; \ No newline at end of file diff --git a/compiler_2tflchef_2tools_2console_2driver_8cpp_source.html b/compiler_2tflchef_2tools_2console_2_driver_8cpp_source.html similarity index 87% rename from compiler_2tflchef_2tools_2console_2driver_8cpp_source.html rename to compiler_2tflchef_2tools_2console_2_driver_8cpp_source.html index d3949ec6f6b..34884f5b31c 100644 --- a/compiler_2tflchef_2tools_2console_2driver_8cpp_source.html +++ b/compiler_2tflchef_2tools_2console_2_driver_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Driver.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -122,7 +122,7 @@
    23#include <iostream>
    24
    -
    25int entry_stream(std::istream &is)
    +
    25int entry_stream(std::istream &is)
    26{
    27 int32_t model_version = 1;
    28
    @@ -159,14 +159,14 @@
    59
    -
    60int entry(int, char **)
    +
    60int entry(int, char **)
    61{
    62 // forward to entry_stream
    -
    63 return entry_stream(std::cin);
    +
    63 return entry_stream(std::cin);
    64}
    -
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    -
    int entry_stream(std::istream &is)
    Definition Driver.cpp:25
    +
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    +
    int entry_stream(std::istream &is)
    Definition Driver.cpp:25
    GeneratedModel cook(const ModelRecipe &model_recipe)
    @@ -174,7 +174,7 @@ diff --git a/compiler_2tflchef_2tools_2console_2driver_8cpp.js b/compiler_2tflchef_2tools_2console_2driver_8cpp.js deleted file mode 100644 index 98f6a9c2e03..00000000000 --- a/compiler_2tflchef_2tools_2console_2driver_8cpp.js +++ /dev/null @@ -1,5 +0,0 @@ -var compiler_2tflchef_2tools_2console_2driver_8cpp = -[ - [ "entry", "compiler_2tflchef_2tools_2console_2driver_8cpp.html#ab0ce61e9019a579c849fb5b37bd2c23e", null ], - [ "entry_stream", "compiler_2tflchef_2tools_2console_2driver_8cpp.html#abe895577b82df8231101784f272cc68d", null ] -]; \ No newline at end of file diff --git a/compiler_2tflchef_2tools_2file_2driver_8cpp.html b/compiler_2tflchef_2tools_2file_2_driver_8cpp.html similarity index 96% rename from compiler_2tflchef_2tools_2file_2driver_8cpp.html rename to compiler_2tflchef_2tools_2file_2_driver_8cpp.html index 0f126abedc3..99c6c402e4b 100644 --- a/compiler_2tflchef_2tools_2file_2driver_8cpp.html +++ b/compiler_2tflchef_2tools_2file_2_driver_8cpp.html @@ -63,7 +63,7 @@
    @@ -102,11 +102,11 @@ #include <fstream>
    #include <iostream>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    - +

    Functions

    int entry (int argc, char **argv)
    int entry (int argc, char **argv)
     Dump IR for given arguments.
     
    @@ -142,7 +142,7 @@

    -

    Definition at line 28 of file Driver.cpp.

    +

    Definition at line 28 of file Driver.cpp.

    29{
    31 arser.add_argument("recipe").help("Source recipe file path to convert");
    @@ -211,7 +211,7 @@

    diff --git a/compiler_2tflchef_2tools_2file_2_driver_8cpp.js b/compiler_2tflchef_2tools_2file_2_driver_8cpp.js new file mode 100644 index 00000000000..3505514502c --- /dev/null +++ b/compiler_2tflchef_2tools_2file_2_driver_8cpp.js @@ -0,0 +1,4 @@ +var compiler_2tflchef_2tools_2file_2_driver_8cpp = +[ + [ "entry", "compiler_2tflchef_2tools_2file_2_driver_8cpp.html#a0bd2da0b208d77121c01ef3a7e7ae198", null ] +]; \ No newline at end of file diff --git a/compiler_2tflchef_2tools_2file_2driver_8cpp_source.html b/compiler_2tflchef_2tools_2file_2_driver_8cpp_source.html similarity index 93% rename from compiler_2tflchef_2tools_2file_2driver_8cpp_source.html rename to compiler_2tflchef_2tools_2file_2_driver_8cpp_source.html index fe060b2028c..8e31a19fbfb 100644 --- a/compiler_2tflchef_2tools_2file_2driver_8cpp_source.html +++ b/compiler_2tflchef_2tools_2file_2_driver_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Driver.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -125,7 +125,7 @@
    26#include <iostream>
    27
    -
    28int entry(int argc, char **argv)
    +
    28int entry(int argc, char **argv)
    29{
    31 arser.add_argument("recipe").help("Source recipe file path to convert");
    @@ -184,7 +184,7 @@
    -
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    +
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    Definition arser.h:38
    GeneratedModel cook(const ModelRecipe &model_recipe)
    @@ -193,7 +193,7 @@ diff --git a/compiler_2tflchef_2tools_2file_2driver_8cpp.js b/compiler_2tflchef_2tools_2file_2driver_8cpp.js deleted file mode 100644 index ee4ae1f90fc..00000000000 --- a/compiler_2tflchef_2tools_2file_2driver_8cpp.js +++ /dev/null @@ -1,4 +0,0 @@ -var compiler_2tflchef_2tools_2file_2driver_8cpp = -[ - [ "entry", "compiler_2tflchef_2tools_2file_2driver_8cpp.html#a0bd2da0b208d77121c01ef3a7e7ae198", null ] -]; \ No newline at end of file diff --git a/compiler_2tflchef_2tools_2reverse_2driver_8cpp.html b/compiler_2tflchef_2tools_2reverse_2_driver_8cpp.html similarity index 96% rename from compiler_2tflchef_2tools_2reverse_2driver_8cpp.html rename to compiler_2tflchef_2tools_2reverse_2_driver_8cpp.html index 0de680ad0b9..430b671b5cb 100644 --- a/compiler_2tflchef_2tools_2reverse_2driver_8cpp.html +++ b/compiler_2tflchef_2tools_2reverse_2_driver_8cpp.html @@ -63,7 +63,7 @@
    @@ -100,11 +100,11 @@ #include <memory>
    #include <iostream>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    - +

    Functions

    int entry (int argc, char **argv)
    int entry (int argc, char **argv)
     Dump IR for given arguments.
     
    @@ -140,7 +140,7 @@

    -

    Definition at line 25 of file Driver.cpp.

    +

    Definition at line 25 of file Driver.cpp.

    26{
    28 arser.add_argument("tflite").help("Source tflite file path to convert");
    @@ -202,7 +202,7 @@

    diff --git a/compiler_2tflchef_2tools_2reverse_2_driver_8cpp.js b/compiler_2tflchef_2tools_2reverse_2_driver_8cpp.js new file mode 100644 index 00000000000..356b804f3ae --- /dev/null +++ b/compiler_2tflchef_2tools_2reverse_2_driver_8cpp.js @@ -0,0 +1,4 @@ +var compiler_2tflchef_2tools_2reverse_2_driver_8cpp = +[ + [ "entry", "compiler_2tflchef_2tools_2reverse_2_driver_8cpp.html#a0bd2da0b208d77121c01ef3a7e7ae198", null ] +]; \ No newline at end of file diff --git a/compiler_2tflchef_2tools_2reverse_2driver_8cpp_source.html b/compiler_2tflchef_2tools_2reverse_2_driver_8cpp_source.html similarity index 94% rename from compiler_2tflchef_2tools_2reverse_2driver_8cpp_source.html rename to compiler_2tflchef_2tools_2reverse_2_driver_8cpp_source.html index 9e2ea6b4bf1..5e5998dac8a 100644 --- a/compiler_2tflchef_2tools_2reverse_2driver_8cpp_source.html +++ b/compiler_2tflchef_2tools_2reverse_2_driver_8cpp_source.html @@ -68,7 +68,7 @@

    @@ -97,7 +97,7 @@
    Driver.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -122,7 +122,7 @@
    23#include <iostream>
    24
    -
    25int entry(int argc, char **argv)
    +
    25int entry(int argc, char **argv)
    26{
    28 arser.add_argument("tflite").help("Source tflite file path to convert");
    @@ -174,7 +174,7 @@
    DataBuffer load(void) const
    Definition FileLoader.h:39
    -
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    +
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    Definition arser.h:38
    bool write_recipe(const std::string &filename, std::unique_ptr< ModelRecipe > &recipe)
    Write ModelRecipe to file with given name.
    std::unique_ptr< ModelRecipe > generate_recipe(const tflite::Model *model)
    Create ModelRecipe from tflite::Model.
    @@ -184,7 +184,7 @@ diff --git a/compiler_2tflchef_2tools_2reverse_2driver_8cpp.js b/compiler_2tflchef_2tools_2reverse_2driver_8cpp.js deleted file mode 100644 index 001399b80b5..00000000000 --- a/compiler_2tflchef_2tools_2reverse_2driver_8cpp.js +++ /dev/null @@ -1,4 +0,0 @@ -var compiler_2tflchef_2tools_2reverse_2driver_8cpp = -[ - [ "entry", "compiler_2tflchef_2tools_2reverse_2driver_8cpp.html#a0bd2da0b208d77121c01ef3a7e7ae198", null ] -]; \ No newline at end of file diff --git a/compiler_2tfldump_2driver_2driver_8cpp.html b/compiler_2tfldump_2driver_2_driver_8cpp.html similarity index 95% rename from compiler_2tfldump_2driver_2driver_8cpp.html rename to compiler_2tfldump_2driver_2_driver_8cpp.html index c891f794740..d0ed284f9ed 100644 --- a/compiler_2tfldump_2driver_2driver_8cpp.html +++ b/compiler_2tfldump_2driver_2_driver_8cpp.html @@ -63,7 +63,7 @@
    @@ -99,11 +99,11 @@ #include <tfldump/Dump.h>
    #include <iostream>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    - +

    Functions

    int entry (int argc, char **argv)
    int entry (int argc, char **argv)
     Dump IR for given arguments.
     
    @@ -139,7 +139,7 @@

    -

    Definition at line 23 of file Driver.cpp.

    +

    Definition at line 23 of file Driver.cpp.

    24{
    26 arser.add_argument("tflite").help("TFLite file to dump");
    @@ -186,7 +186,7 @@

    diff --git a/compiler_2tfldump_2driver_2_driver_8cpp.js b/compiler_2tfldump_2driver_2_driver_8cpp.js new file mode 100644 index 00000000000..f8317f8f0fe --- /dev/null +++ b/compiler_2tfldump_2driver_2_driver_8cpp.js @@ -0,0 +1,4 @@ +var compiler_2tfldump_2driver_2_driver_8cpp = +[ + [ "entry", "compiler_2tfldump_2driver_2_driver_8cpp.html#a0bd2da0b208d77121c01ef3a7e7ae198", null ] +]; \ No newline at end of file diff --git a/compiler_2tfldump_2driver_2driver_8cpp_source.html b/compiler_2tfldump_2driver_2_driver_8cpp_source.html similarity index 92% rename from compiler_2tfldump_2driver_2driver_8cpp_source.html rename to compiler_2tfldump_2driver_2_driver_8cpp_source.html index a652a4daacf..cbc7643594b 100644 --- a/compiler_2tfldump_2driver_2driver_8cpp_source.html +++ b/compiler_2tfldump_2driver_2_driver_8cpp_source.html @@ -68,7 +68,7 @@

    @@ -97,7 +97,7 @@
    Driver.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -120,7 +120,7 @@
    21#include <iostream>
    22
    -
    23int entry(int argc, char **argv)
    +
    23int entry(int argc, char **argv)
    24{
    26 arser.add_argument("tflite").help("TFLite file to dump");
    @@ -159,7 +159,7 @@
    DataBuffer load(void) const
    Definition FileLoader.h:39
    -
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    +
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    Definition arser.h:38
    @@ -167,7 +167,7 @@ diff --git a/compiler_2tfldump_2driver_2driver_8cpp.js b/compiler_2tfldump_2driver_2driver_8cpp.js deleted file mode 100644 index 5596d2e4010..00000000000 --- a/compiler_2tfldump_2driver_2driver_8cpp.js +++ /dev/null @@ -1,4 +0,0 @@ -var compiler_2tfldump_2driver_2driver_8cpp = -[ - [ "entry", "compiler_2tfldump_2driver_2driver_8cpp.html#a0bd2da0b208d77121c01ef3a7e7ae198", null ] -]; \ No newline at end of file diff --git a/compiler_2tflite2circle_2driver_2driver_8cpp.html b/compiler_2tflite2circle_2driver_2_driver_8cpp.html similarity index 92% rename from compiler_2tflite2circle_2driver_2driver_8cpp.html rename to compiler_2tflite2circle_2driver_2_driver_8cpp.html index 326e798c293..b7a0a2bbb7d 100644 --- a/compiler_2tflite2circle_2driver_2driver_8cpp.html +++ b/compiler_2tflite2circle_2driver_2_driver_8cpp.html @@ -63,7 +63,7 @@
    @@ -103,13 +103,13 @@ #include "TFLModel.h"
    #include <vconone/vconone.h>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    - + - +

    Functions

    void print_version (void)
    void print_version (void)
     
    int entry (int argc, char **argv)
    int entry (int argc, char **argv)
     Dump IR for given arguments.
     
    @@ -145,11 +145,11 @@

    -

    Definition at line 35 of file Driver.cpp.

    +

    Definition at line 35 of file Driver.cpp.

    36{
    37 arser::Arser arser{"tflite2circle is a Tensorflow lite to circle model converter"};
    38
    - +
    41
    42 arser.add_argument("tflite").help("Source tflite file path to convert");
    @@ -203,12 +203,12 @@

    static void add_verbose(Arser &arser)
    Definition arser.h:743

    -
    void print_version(void)
    Definition Driver.cpp:35
    +
    void print_version(void)
    Definition Driver.cpp:35
    Definition arser.h:38

    -

    References arser::Helper::add_verbose(), arser::Helper::add_version(), and print_version().

    +

    References arser::Helper::add_verbose(), arser::Helper::add_version(), and print_version().

    @@ -228,7 +228,7 @@

    -

    Definition at line 29 of file Driver.cpp.

    +

    Definition at line 29 of file Driver.cpp.

    30{
    31 std::cout << "tflite2circle version " << vconone::get_string() << std::endl;
    32 std::cout << vconone::get_copyright() << std::endl;
    @@ -245,7 +245,7 @@

    diff --git a/compiler_2tflite2circle_2driver_2_driver_8cpp.js b/compiler_2tflite2circle_2driver_2_driver_8cpp.js new file mode 100644 index 00000000000..4c496e43a6b --- /dev/null +++ b/compiler_2tflite2circle_2driver_2_driver_8cpp.js @@ -0,0 +1,5 @@ +var compiler_2tflite2circle_2driver_2_driver_8cpp = +[ + [ "entry", "compiler_2tflite2circle_2driver_2_driver_8cpp.html#a0bd2da0b208d77121c01ef3a7e7ae198", null ], + [ "print_version", "compiler_2tflite2circle_2driver_2_driver_8cpp.html#ac6230d495fc909bb61195c45f703d492", null ] +]; \ No newline at end of file diff --git a/compiler_2tflite2circle_2driver_2driver_8cpp_source.html b/compiler_2tflite2circle_2driver_2_driver_8cpp_source.html similarity index 90% rename from compiler_2tflite2circle_2driver_2driver_8cpp_source.html rename to compiler_2tflite2circle_2driver_2_driver_8cpp_source.html index c30f3e86155..1d7265ca1f1 100644 --- a/compiler_2tflite2circle_2driver_2driver_8cpp_source.html +++ b/compiler_2tflite2circle_2driver_2_driver_8cpp_source.html @@ -68,7 +68,7 @@

    @@ -97,7 +97,7 @@
    Driver.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -126,7 +126,7 @@
    27#include <vconone/vconone.h>
    28
    -
    29void print_version(void)
    +
    29void print_version(void)
    30{
    31 std::cout << "tflite2circle version " << vconone::get_string() << std::endl;
    32 std::cout << vconone::get_copyright() << std::endl;
    @@ -134,11 +134,11 @@
    34
    -
    35int entry(int argc, char **argv)
    +
    35int entry(int argc, char **argv)
    36{
    37 arser::Arser arser{"tflite2circle is a Tensorflow lite to circle model converter"};
    38
    - +
    41
    42 arser.add_argument("tflite").help("Source tflite file path to convert");
    @@ -196,8 +196,8 @@
    static void add_verbose(Arser &arser)
    Definition arser.h:743
    -
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    -
    void print_version(void)
    Definition Driver.cpp:35
    +
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    +
    void print_version(void)
    Definition Driver.cpp:35
    Definition arser.h:38
    std::string get_copyright(void)
    get_copyright will return copyright string
    Definition version.cpp:54
    std::string get_string(void)
    get_string will return string of major.minor.patch (without build)
    Definition version.cpp:44
    @@ -207,7 +207,7 @@ diff --git a/compiler_2tflite2circle_2driver_2driver_8cpp.js b/compiler_2tflite2circle_2driver_2driver_8cpp.js deleted file mode 100644 index 9c1b09a10b6..00000000000 --- a/compiler_2tflite2circle_2driver_2driver_8cpp.js +++ /dev/null @@ -1,5 +0,0 @@ -var compiler_2tflite2circle_2driver_2driver_8cpp = -[ - [ "entry", "compiler_2tflite2circle_2driver_2driver_8cpp.html#a0bd2da0b208d77121c01ef3a7e7ae198", null ], - [ "print_version", "compiler_2tflite2circle_2driver_2driver_8cpp.html#ac6230d495fc909bb61195c45f703d492", null ] -]; \ No newline at end of file diff --git a/compiler_2vconone_2driver_2driver_8cpp.html b/compiler_2vconone_2driver_2_driver_8cpp.html similarity index 94% rename from compiler_2vconone_2driver_2driver_8cpp.html rename to compiler_2vconone_2driver_2_driver_8cpp.html index ce73c58d5e3..e1192550dfd 100644 --- a/compiler_2vconone_2driver_2driver_8cpp.html +++ b/compiler_2vconone_2driver_2_driver_8cpp.html @@ -63,7 +63,7 @@
    @@ -98,11 +98,11 @@ #include <string>
    #include <iostream>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    - +

    Functions

    int main (int argc, char *argv[])
    int main (int argc, char *argv[])
     

    Function Documentation

    @@ -132,7 +132,7 @@

    -

    Definition at line 22 of file driver.cpp.

    +

    Definition at line 22 of file driver.cpp.

    23{
    24 auto str = vconone::get_string();
    25 if (argc >= 2)
    @@ -161,7 +161,7 @@

    diff --git a/compiler_2vconone_2driver_2_driver_8cpp.js b/compiler_2vconone_2driver_2_driver_8cpp.js new file mode 100644 index 00000000000..4d2f2cec12f --- /dev/null +++ b/compiler_2vconone_2driver_2_driver_8cpp.js @@ -0,0 +1,4 @@ +var compiler_2vconone_2driver_2_driver_8cpp = +[ + [ "main", "compiler_2vconone_2driver_2_driver_8cpp.html#a0ddf1224851353fc92bfbff6f499fa97", null ] +]; \ No newline at end of file diff --git a/compiler_2vconone_2driver_2driver_8cpp_source.html b/compiler_2vconone_2driver_2_driver_8cpp_source.html similarity index 90% rename from compiler_2vconone_2driver_2driver_8cpp_source.html rename to compiler_2vconone_2driver_2_driver_8cpp_source.html index 2c35d8b0317..c433ff779bf 100644 --- a/compiler_2vconone_2driver_2driver_8cpp_source.html +++ b/compiler_2vconone_2driver_2_driver_8cpp_source.html @@ -68,7 +68,7 @@

    @@ -97,7 +97,7 @@
    driver.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -119,7 +119,7 @@
    20#include <iostream>
    21
    -
    22int main(int argc, char *argv[])
    +
    22int main(int argc, char *argv[])
    23{
    24 auto str = vconone::get_string();
    25 if (argc >= 2)
    @@ -137,14 +137,14 @@
    std::string get_copyright(void)
    get_copyright will return copyright string
    Definition version.cpp:54
    std::string get_string(void)
    get_string will return string of major.minor.patch (without build)
    Definition version.cpp:44
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/compiler_2vconone_2driver_2driver_8cpp.js b/compiler_2vconone_2driver_2driver_8cpp.js deleted file mode 100644 index d7e4e99f285..00000000000 --- a/compiler_2vconone_2driver_2driver_8cpp.js +++ /dev/null @@ -1,4 +0,0 @@ -var compiler_2vconone_2driver_2driver_8cpp = -[ - [ "main", "compiler_2vconone_2driver_2driver_8cpp.html#a0ddf1224851353fc92bfbff6f499fa97", null ] -]; \ No newline at end of file diff --git a/compute_2cker_2include_2cker_2operation_2_batch_mat_mul_8h_source.html b/compute_2cker_2include_2cker_2operation_2_batch_mat_mul_8h_source.html index 5902e97dffe..9fb3068a8d4 100644 --- a/compute_2cker_2include_2cker_2operation_2_batch_mat_mul_8h_source.html +++ b/compute_2cker_2include_2cker_2operation_2_batch_mat_mul_8h_source.html @@ -266,7 +266,7 @@
    void BatchMatMul(const Shape &lhs_shape, const float *lhs_data, const Shape &rhs_shape, const float *rhs_data, const Shape &, float *output_data)
    Definition BatchMatMul.h:31
    Definition topk_v2.h:30
    -
    Definition Dims.h:26
    +
    Definition Dims.h:26
    Definition Shape.h:28
    diff --git a/compute_2cker_2include_2cker_2operation_2_concatenation_8h_source.html b/compute_2cker_2include_2cker_2operation_2_concatenation_8h_source.html index d0857b227a5..4d3eff3345f 100644 --- a/compute_2cker_2include_2cker_2operation_2_concatenation_8h_source.html +++ b/compute_2cker_2include_2cker_2operation_2_concatenation_8h_source.html @@ -268,7 +268,7 @@
    int MatchingDim(const Shape &shape1, int index1, const Shape &shape2, int index2)
    Definition Shape.h:222
    void Concatenation(const ConcatenationParams &params, const Shape *const *input_shapes, const Scalar *const *input_data, const Shape &output_shape, Scalar *output_data)
    Definition topk_v2.h:30
    -
    Definition Dims.h:26
    +
    Definition Dims.h:26
    const int32_t * input_zeropoint
    Definition Types.h:216
    diff --git a/compute_2cker_2include_2cker_2operation_2_fused_batch_norm_8h_source.html b/compute_2cker_2include_2cker_2operation_2_fused_batch_norm_8h_source.html index 77b94ecee1f..4c855f81d26 100644 --- a/compute_2cker_2include_2cker_2operation_2_fused_batch_norm_8h_source.html +++ b/compute_2cker_2include_2cker_2operation_2_fused_batch_norm_8h_source.html @@ -290,7 +290,7 @@
    int32_t size[5]
    Definition Slice.cpp:35
    -
    Definition Dims.h:26
    +
    Definition Dims.h:26
    diff --git a/core_2src_2backend_2builtin_2train_2_kernel_generator_8cc_source.html b/core_2src_2backend_2builtin_2train_2_kernel_generator_8cc_source.html index 78373b8a8dc..6bf00ea82d3 100644 --- a/core_2src_2backend_2builtin_2train_2_kernel_generator_8cc_source.html +++ b/core_2src_2backend_2builtin_2train_2_kernel_generator_8cc_source.html @@ -211,7 +211,7 @@
    OperandIndexSequence & getInputs()
    Definition Operation.h:53
    virtual void accept(OperationVisitor &v) const override=0
    -
    const ITrainableOperation & operation(OperationIndex index) const
    +
    const ITrainableOperation & operation(OperationIndex index) const
    diff --git a/cpu_2ops_2_convolution_layer_8cc_source.html b/cpu_2ops_2_convolution_layer_8cc_source.html index efb4e560bc6..0b44c3bed5b 100644 --- a/cpu_2ops_2_convolution_layer_8cc_source.html +++ b/cpu_2ops_2_convolution_layer_8cc_source.html @@ -532,7 +532,7 @@
    void CalculateActivationRange(ir::Activation activation, T *activation_min, T *activation_max)
    -
    Definition Dims.h:26
    +
    Definition Dims.h:26
    int16_t stride_height
    Definition Types.h:140
    PaddingValues padding_values
    Definition Types.h:137
    diff --git a/cpu_2ops_2_depthwise_convolution_layer_8cc_source.html b/cpu_2ops_2_depthwise_convolution_layer_8cc_source.html index 93b39b30ad4..9e628f5e086 100644 --- a/cpu_2ops_2_depthwise_convolution_layer_8cc_source.html +++ b/cpu_2ops_2_depthwise_convolution_layer_8cc_source.html @@ -464,7 +464,7 @@
    __global uchar * offset(const Image *img, int x, int y)
    Definition helpers.h:540
    void DepthwiseConvPerChannel(const DepthwiseConvParams &params, const int32_t *output_multiplier, const int32_t *output_shift, const Shape &input_shape, const int8_t *input_data, const Shape &filter_shape, const int8_t *filter_data, const Shape &bias_shape, const int32_t *bias_data, const Shape &output_shape, int8_t *output_data, ruy::Context *ruy_context)
    -
    void DepthwiseConvPerChannel(const DepthwiseConvParams &params, const int32_t *output_multiplier, const int32_t *output_shift, const Shape &input_shape, const uint8_t *input_data, const Shape &filter_shape, const uint8_t *filter_data, const int32_t *filter_zeropoint, const Shape &bias_shape, const int32_t *bias_data, const Shape &output_shape, uint8_t *output_data)
    +
    void DepthwiseConvPerChannel(const DepthwiseConvParams &params, const int32_t *output_multiplier, const int32_t *output_shift, const Shape &input_shape, const uint8_t *input_data, const Shape &filter_shape, const uint8_t *filter_data, const int32_t *filter_zeropoint, const Shape &bias_shape, const int32_t *bias_data, const Shape &output_shape, uint8_t *output_data)
    void DepthwiseConvHybridPerChannel(const DepthwiseConvParams &params, float *scaling_factors_ptr, const Shape &input_shape, const int8_t *input_data, const Shape &filter_shape, const int8_t *filter_data, const Shape &bias_shape, const float *bias_data, const Shape &output_shape, float *output_data, const float *per_channel_scale, int32_t *input_offset)
    void PortableAsymmetricQuantizeFloats(const float *values, const int size, int8_t *quantized_values, float *scaling_factor, int32_t *offset)
    @@ -477,7 +477,7 @@
    void CalculateActivationRange(ir::Activation activation, T *activation_min, T *activation_max)
    -
    Definition Dims.h:26
    +
    Definition Dims.h:26
    diff --git a/cpu_2ops_2_elementwise_activation_layer_8cc_source.html b/cpu_2ops_2_elementwise_activation_layer_8cc_source.html index 8758edb2eb6..2114a60d9a5 100644 --- a/cpu_2ops_2_elementwise_activation_layer_8cc_source.html +++ b/cpu_2ops_2_elementwise_activation_layer_8cc_source.html @@ -178,7 +178,7 @@
    75 IPortableTensor *output)
    76{
    -
    77 const int size = MatchingFlatSize(getShape(input), getShape(output));
    +
    77 const int size = MatchingFlatSize(getShape(input), getShape(output));
    78 const uint8_t *input_data = getBuffer<uint8_t>(input);
    79 uint8_t *output_data = getBuffer<uint8_t>(output);
    80
    @@ -303,7 +303,7 @@
    196} // namespace cpu
    197} // namespace backend
    198} // namespace onert
    -
    int MatchingFlatSize(const Dims< N > &dims, const Dims< N > &check_dims_0)
    Definition Dims.h:108
    +
    int MatchingFlatSize(const Dims< N > &dims, const Dims< N > &check_dims_0)
    Definition Dims.h:108
    A tensor class that is portable for other backends.
    int32_t data_zero_point() const override
    float data_scale() const override
    diff --git a/def2src_8cpp_source.html b/def2src_8cpp_source.html index 5fdf9443369..e5735eb877a 100644 --- a/def2src_8cpp_source.html +++ b/def2src_8cpp_source.html @@ -187,7 +187,7 @@
    85
    -
    86int main(int argc, char *argv[])
    +
    86int main(int argc, char *argv[])
    87{
    88 if (argc < 3)
    89 return -1;
    @@ -210,7 +210,7 @@
    int fileToArray(const std::string &source, const std::string &dest, const std::string &arrName)
    Definition def2src.cpp:21
    std::string extractFileName(std::string path)
    Definition def2src.cpp:73
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/dir_000030_000154.html b/dir_000030_000154.html index 8eeaf5e9022..3248a668c91 100644 --- a/dir_000030_000154.html +++ b/dir_000030_000154.html @@ -89,7 +89,7 @@
    -

    api → core Relation

    File in runtime/onert/apiIncludes file in runtime/onert/core
    nnfw / src / CustomKernel.hinclude / backend / CustomKernelBuilder.h
    nnfw / src / CustomKernel.hinclude / exec / IFunction.h
    nnfw / src / nnfw_api_internal.ccinclude / compiler / CompilerFactory.h
    nnfw / src / nnfw_api_internal.ccinclude / util / Exceptions.h
    nnfw / src / nnfw_api_internal.ccinclude / exec / Execution.h
    nnfw / src / nnfw_api_internal.ccinclude / loader / circle_loader.h
    nnfw / src / nnfw_api_internal.ccinclude / loader / tflite_loader.h
    nnfw / src / nnfw_api_internal.ccinclude / loader / traininfo_loader.h
    nnfw / src / nnfw_api_internal.ccinclude / ir / NNPkg.h
    nnfw / src / nnfw_api_internal.ccinclude / ir / OpCode.h
    nnfw / src / nnfw_api_internal.ccinclude / ir / train / TrainingInfo.h
    nnfw / src / nnfw_api_internal.ccinclude / util / TracingCtx.h
    nnfw / src / nnfw_api_internal.ccinclude / odc / QuantizeManager.h
    nnfw / src / nnfw_api_internal.hinclude / util / TracingCtx.h
    nnapi / wrapper / ANeuralNetworksCompilation.hinclude / compiler / Compiler.h
    nnapi / wrapper / ANeuralNetworksCompilation.hinclude / ir / Model.h
    nnapi / wrapper / ANeuralNetworksCompilation.hinclude / exec / IExecutors.h
    nnapi / wrapper / ANeuralNetworksCompilation.hinclude / util / TracingCtx.h
    nnapi / wrapper / ANeuralNetworksEvent.ccinclude / exec / Execution.h
    nnapi / wrapper / ANeuralNetworksExecution.hinclude / exec / Execution.h
    nnapi / wrapper / ANeuralNetworksModel.ccinclude / ir / Operations.Include.h
    nnapi / wrapper / ANeuralNetworksModel.hinclude / ir / Model.h
    nnapi / wrapper / NNAPIConvert.hinclude / ir / TypeInfo.h
    nnapi / wrapper / NNAPIConvert.hinclude / ir / Padding.h
    nnapi / wrapper / NNAPIConvert.hinclude / ir / InternalType.h
    nnapi / wrapper / OperationFactory.ccinclude / ir / Operations.Include.h
    nnapi / wrapper / OperationFactory.hinclude / ir / Operands.h
    +

    api → core Relation

    File in runtime/onert/apiIncludes file in runtime/onert/core
    nnfw / src / CustomKernel.hinclude / backend / CustomKernelBuilder.h
    nnfw / src / CustomKernel.hinclude / exec / IFunction.h
    nnfw / src / nnfw_api_internal.ccinclude / compiler / CompilerFactory.h
    nnfw / src / nnfw_api_internal.ccinclude / util / Exceptions.h
    nnfw / src / nnfw_api_internal.ccinclude / exec / Execution.h
    nnfw / src / nnfw_api_internal.ccinclude / loader / circle_loader.h
    nnfw / src / nnfw_api_internal.ccinclude / loader / ModelLoader.h
    nnfw / src / nnfw_api_internal.ccinclude / loader / tflite_loader.h
    nnfw / src / nnfw_api_internal.ccinclude / loader / traininfo_loader.h
    nnfw / src / nnfw_api_internal.ccinclude / ir / NNPkg.h
    nnfw / src / nnfw_api_internal.ccinclude / ir / OpCode.h
    nnfw / src / nnfw_api_internal.ccinclude / ir / train / TrainingInfo.h
    nnfw / src / nnfw_api_internal.ccinclude / util / TracingCtx.h
    nnfw / src / nnfw_api_internal.ccinclude / odc / QuantizeManager.h
    nnfw / src / nnfw_api_internal.ccinclude / odc / CodegenManager.h
    nnfw / src / nnfw_api_internal.hinclude / util / TracingCtx.h
    nnapi / wrapper / ANeuralNetworksCompilation.hinclude / compiler / Compiler.h
    nnapi / wrapper / ANeuralNetworksCompilation.hinclude / ir / Model.h
    nnapi / wrapper / ANeuralNetworksCompilation.hinclude / exec / IExecutors.h
    nnapi / wrapper / ANeuralNetworksCompilation.hinclude / util / TracingCtx.h
    nnapi / wrapper / ANeuralNetworksEvent.ccinclude / exec / Execution.h
    nnapi / wrapper / ANeuralNetworksExecution.hinclude / exec / Execution.h
    nnapi / wrapper / ANeuralNetworksModel.ccinclude / ir / Operations.Include.h
    nnapi / wrapper / ANeuralNetworksModel.hinclude / ir / Model.h
    nnapi / wrapper / NNAPIConvert.hinclude / ir / TypeInfo.h
    nnapi / wrapper / NNAPIConvert.hinclude / ir / Padding.h
    nnapi / wrapper / NNAPIConvert.hinclude / ir / InternalType.h
    nnapi / wrapper / OperationFactory.ccinclude / ir / Operations.Include.h
    nnapi / wrapper / OperationFactory.hinclude / ir / Operands.h
    -

    caffegen → cli Relation

    File in compiler/caffegenIncludes file in compiler/cli
    src / DecodeCommand.hinclude / cli / Command.h
    src / Driver.cppinclude / cli / App.h
    src / EncodeCommand.hinclude / cli / Command.h
    src / InitCommand.hinclude / cli / Command.h
    src / MergeCommand.hinclude / cli / Command.h
    +

    caffegen → cli Relation

    File in compiler/caffegenIncludes file in compiler/cli
    src / DecodeCommand.hinclude / cli / Command.h
    src / Driver.cppinclude / cli / App.h
    src / EncodeCommand.hinclude / cli / Command.h
    src / InitCommand.hinclude / cli / Command.h
    src / MergeCommand.hinclude / cli / Command.h
    -

    circle-eval-diff → arser Relation

    File in compiler/circle-eval-diffIncludes file in compiler/arser
    driver / Driver.cppinclude / arser / arser.h
    +

    circle-eval-diff → arser Relation

    File in compiler/circle-eval-diffIncludes file in compiler/arser
    driver / Driver.cppinclude / arser / arser.h
    -

    circle-eval-diff → vconone Relation

    File in compiler/circle-eval-diffIncludes file in compiler/vconone
    driver / Driver.cppinclude / vconone / vconone.h
    +

    circle-eval-diff → vconone Relation

    File in compiler/circle-eval-diffIncludes file in compiler/vconone
    driver / Driver.cppinclude / vconone / vconone.h
    -

    circle-inspect → arser Relation

    File in compiler/circle-inspectIncludes file in compiler/arser
    driver / Driver.cppinclude / arser / arser.h
    +

    circle-inspect → arser Relation

    File in compiler/circle-inspectIncludes file in compiler/arser
    driver / Driver.cppinclude / arser / arser.h
    -

    circle-inspect → foder Relation

    File in compiler/circle-inspectIncludes file in compiler/foder
    driver / Driver.cppinclude / foder / FileLoader.h
    +

    circle-inspect → foder Relation

    File in compiler/circle-inspectIncludes file in compiler/foder
    driver / Driver.cppinclude / foder / FileLoader.h
    -

    circle-operator → arser Relation

    File in compiler/circle-operatorIncludes file in compiler/arser
    driver / Driver.cppinclude / arser / arser.h
    +

    circle-operator → arser Relation

    File in compiler/circle-operatorIncludes file in compiler/arser
    driver / Driver.cppinclude / arser / arser.h
    -

    circle-operator → foder Relation

    File in compiler/circle-operatorIncludes file in compiler/foder
    driver / Driver.cppinclude / foder / FileLoader.h
    +

    circle-operator → foder Relation

    File in compiler/circle-operatorIncludes file in compiler/foder
    driver / Driver.cppinclude / foder / FileLoader.h
    -

    circle-operator → runtime Relation

    File in compiler/circle-operatorIncludes file in runtime
    driver / Driver.cppservice / npud / core / Signal.h
    +

    circle-operator → runtime Relation

    File in compiler/circle-operatorIncludes file in runtime
    driver / Driver.cppservice / npud / core / Signal.h
    -

    circle-opselector → arser Relation

    File in compiler/circle-opselectorIncludes file in compiler/arser
    driver / Driver.cppinclude / arser / arser.h
    +

    circle-opselector → arser Relation

    File in compiler/circle-opselectorIncludes file in compiler/arser
    driver / Driver.cppinclude / arser / arser.h
    +

    circle-opselector → luci Relation

    File in compiler/circle-opselectorIncludes file in compiler/luci
    driver / Driver.cpppartition / include / luci / ConnectNode.h
    driver / Driver.cppprofile / include / luci / Profile / CircleNodeID.h
    driver / Driver.cppservice / include / luci / Service / CircleNodeClone.h
    src / ModuleIO.cppimport / include / luci / Importer.h
    src / ModuleIO.cppexport / include / luci / CircleExporter.h
    src / ModuleIO.cppexport / include / luci / CircleFileExpContract.h
    src / ModuleIO.hlang / include / luci / IR / Module.h
    src / OpSelector.cpppartition / include / luci / ConnectNode.h
    src / OpSelector.cppprofile / include / luci / Profile / CircleNodeID.h
    src / OpSelector.cppservice / include / luci / Service / CircleNodeClone.h
    src / OpSelector.hlang / include / luci / IR / Module.h
    src / OpSelector.hlang / include / luci / IR / CircleNodeDecl.h
    -

    circle-opselector → vconone Relation

    File in compiler/circle-opselectorIncludes file in compiler/vconone
    driver / Driver.cppinclude / vconone / vconone.h
    +

    circle-opselector → vconone Relation

    File in compiler/circle-opselectorIncludes file in compiler/vconone
    driver / Driver.cppinclude / vconone / vconone.h
    -

    circle-part-driver → luci Relation

    File in compiler/circle-part-driverIncludes file in compiler/luci
    src / Driver.cpplog / include / luci / Log.h
    src / PModelsRunner.cpplang / include / luci / IR / Nodes / CircleInput.h
    src / PModelsRunner.cpplang / include / luci / IR / Nodes / CircleOutput.h
    src / PModelsRunner.cppimport / include / luci / Importer.h
    src / PModelsRunner.cpplog / include / luci / Log.h
    +

    circle-part-driver → luci Relation

    File in compiler/circle-part-driverIncludes file in compiler/luci
    src / Driver.cpplog / include / luci / Log.h
    src / PModelsRunner.cpplang / include / luci / IR / Nodes / CircleInput.h
    src / PModelsRunner.cpplang / include / luci / IR / Nodes / CircleOutput.h
    src / PModelsRunner.cppimport / include / luci / Importer.h
    src / PModelsRunner.cpplog / include / luci / Log.h
    -

    circle-tensordump → arser Relation

    File in compiler/circle-tensordumpIncludes file in compiler/arser
    driver / Driver.cppinclude / arser / arser.h
    +

    circle-tensordump → arser Relation

    File in compiler/circle-tensordumpIncludes file in compiler/arser
    driver / Driver.cppinclude / arser / arser.h
    -

    circle-tensordump → foder Relation

    File in compiler/circle-tensordumpIncludes file in compiler/foder
    driver / Driver.cppinclude / foder / FileLoader.h
    +

    circle-tensordump → foder Relation

    File in compiler/circle-tensordumpIncludes file in compiler/foder
    driver / Driver.cppinclude / foder / FileLoader.h
    -

    circle-verify → arser Relation

    File in compiler/circle-verifyIncludes file in compiler/arser
    src / Driver.cppinclude / arser / arser.h
    +

    circle-verify → arser Relation

    File in compiler/circle-verifyIncludes file in compiler/arser
    src / Driver.cppinclude / arser / arser.h
    -

    circlechef → arser Relation

    File in compiler/circlechefIncludes file in compiler/arser
    tools / file / Driver.cppinclude / arser / arser.h
    tools / reverse / Driver.cppinclude / arser / arser.h
    +

    circlechef → arser Relation

    File in compiler/circlechefIncludes file in compiler/arser
    tools / file / Driver.cppinclude / arser / arser.h
    tools / reverse / Driver.cppinclude / arser / arser.h
    -

    circlechef → foder Relation

    File in compiler/circlechefIncludes file in compiler/foder
    tools / reverse / Driver.cppinclude / foder / FileLoader.h
    +

    circlechef → foder Relation

    File in compiler/circlechefIncludes file in compiler/foder
    tools / reverse / Driver.cppinclude / foder / FileLoader.h
    -

    circlechef → souschef Relation

    File in compiler/circlechefIncludes file in compiler/souschef
    circle / src / CircleImport.hinclude / souschef / TensorFiller.h
    core / src / ModelChef.cppinclude / souschef / RangedArguments.h
    core / src / ModelChef.cppinclude / souschef / Registry.h
    core / src / ModelChef.cppinclude / souschef / DataChefs.h
    core / src / ModelChef.cppinclude / souschef / Dataset.h
    core / src / ModelChef.cppinclude / souschef / Dims.h
    +

    circlechef → souschef Relation

    File in compiler/circlechefIncludes file in compiler/souschef
    circle / src / CircleImport.hinclude / souschef / TensorFiller.h
    core / src / ModelChef.cppinclude / souschef / RangedArguments.h
    core / src / ModelChef.cppinclude / souschef / Registry.h
    core / src / ModelChef.cppinclude / souschef / DataChefs.h
    core / src / ModelChef.cppinclude / souschef / Dataset.h
    core / src / ModelChef.cppinclude / souschef / Dims.h
    -

    circledump → arser Relation

    File in compiler/circledumpIncludes file in compiler/arser
    driver / Driver.cppinclude / arser / arser.h
    +

    circledump → arser Relation

    File in compiler/circledumpIncludes file in compiler/arser
    driver / Driver.cppinclude / arser / arser.h
    -

    circledump → foder Relation

    File in compiler/circledumpIncludes file in compiler/foder
    driver / Driver.cppinclude / foder / FileLoader.h
    +

    circledump → foder Relation

    File in compiler/circledumpIncludes file in compiler/foder
    driver / Driver.cppinclude / foder / FileLoader.h
    +

    cker → neon Relation

    File in compute/cker/include/ckerIncludes file in compute/cker/include/cker/neon
    NeonTensorUtils.hneon_check.h
    PortableTensorUtils.hneon_check.h
    TensorUtils.hneon_check.h
    Utils.hneon_check.h
    operation / optimized / integer_ops / DepthwiseConvInt8.hneon_check.h
    operation / AveragePool.hneon_check.h
    operation / Common.hneon_check.h
    operation / DepthwiseConv.hneon_check.h
    operation / Dequantize.hneon_check.h
    operation / FullyConnected.hneon_check.h
    operation / MaxPool.hneon_check.h
    operation / Reduce.hneon_check.h
    operation / optimized / BinaryArithmeticOps.hneon_check.h
    operation / optimized / Conv.hneon_check.h
    operation / optimized / DepthwiseConvFloat.hneon_check.h
    operation / optimized / DepthwiseConvUint8.hneon_check.h
    -

    cli → core Relation

    File in compiler/enco/cliIncludes file in compiler/enco/core
    src / Driver.cppinclude / enco / Backend.h
    +

    cli → core Relation

    File in compiler/enco/cliIncludes file in compiler/enco/core
    src / Driver.cppinclude / enco / Backend.h
    -

    cli → enco-intf Relation

    File in compiler/enco/cliIncludes file in compiler/enco-intf
    src / Driver.cppfrontend / include / enco / Frontend.h
    src / Driver.cppcmdline / include / cmdline / View.h
    +

    cli → enco-intf Relation

    File in compiler/enco/cliIncludes file in compiler/enco-intf
    src / Driver.cppfrontend / include / enco / Frontend.h
    src / Driver.cppcmdline / include / cmdline / View.h
    -

    coco → pepper-assert Relation

    File in compiler/cocoIncludes file in compiler/pepper-assert
    core / src / IR / Conv2D.cppinclude / pepper / assert.h
    core / src / IR / Op.cppinclude / pepper / assert.h
    +

    coco → pepper-assert Relation

    File in compiler/cocoIncludes file in compiler/pepper-assert
    core / src / IR / Conv2D.cppinclude / pepper / assert.h
    core / src / IR / Op.cppinclude / pepper / assert.h
    -

    console → core Relation

    File in compiler/circlechef/tools/consoleIncludes file in compiler/circlechef/core
    Driver.cppinclude / circlechef / ModelChef.h
    +

    console → core Relation

    File in compiler/circlechef/tools/consoleIncludes file in compiler/circlechef/core
    Driver.cppinclude / circlechef / ModelChef.h
    -

    console → core Relation

    File in compiler/tflchef/tools/consoleIncludes file in compiler/tflchef/core
    Driver.cppinclude / tflchef / ModelChef.h
    +

    console → core Relation

    File in compiler/tflchef/tools/consoleIncludes file in compiler/tflchef/core
    Driver.cppinclude / tflchef / ModelChef.h
    -

    core → souschef Relation

    File in compiler/circlechef/coreIncludes file in compiler/souschef
    src / ModelChef.cppinclude / souschef / RangedArguments.h
    src / ModelChef.cppinclude / souschef / Registry.h
    src / ModelChef.cppinclude / souschef / DataChefs.h
    src / ModelChef.cppinclude / souschef / Dataset.h
    src / ModelChef.cppinclude / souschef / Dims.h
    +

    core → souschef Relation

    File in compiler/circlechef/coreIncludes file in compiler/souschef
    src / ModelChef.cppinclude / souschef / RangedArguments.h
    src / ModelChef.cppinclude / souschef / Registry.h
    src / ModelChef.cppinclude / souschef / DataChefs.h
    src / ModelChef.cppinclude / souschef / Dataset.h
    src / ModelChef.cppinclude / souschef / Dims.h
    -

    core → pepper-assert Relation

    File in compiler/coco/coreIncludes file in compiler/pepper-assert
    src / IR / Conv2D.cppinclude / pepper / assert.h
    src / IR / Op.cppinclude / pepper / assert.h
    +

    core → pepper-assert Relation

    File in compiler/coco/coreIncludes file in compiler/pepper-assert
    src / IR / Conv2D.cppinclude / pepper / assert.h
    src / IR / Op.cppinclude / pepper / assert.h
    -

    core → angkor Relation

    File in compiler/enco/coreIncludes file in compiler/angkor
    src / ANN / IR / Operand.hinclude / nncc / core / ADT / tensor / Shape.h
    src / ANN / IR / OperandInventory.hinclude / nncc / core / ADT / tensor / Shape.h
    src / Dims.hinclude / nncc / core / ADT / tensor / Shape.h
    src / Transforms / AvgPoolLowering.cppinclude / nncc / core / ADT / feature / Shape.h
    src / Transforms / AvgPoolLowering.cppinclude / nncc / core / ADT / feature / HWCLayout.h
    src / Transforms / ConcatLowering.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Transforms / DataLayoutConversion.cppinclude / nncc / core / ADT / feature / Layout.h
    src / Transforms / DataLayoutConversion.cppinclude / nncc / core / ADT / kernel / Layout.h
    src / Transforms / DataLayoutConversion.cppinclude / nncc / core / ADT / feature / HWCLayout.h
    src / Transforms / DataLayoutConversion.cppinclude / nncc / core / ADT / kernel / NHWCLayout.h
    src / Transforms / Split.cppinclude / nncc / core / ADT / kernel / NHWCLayout.h
    +

    core → angkor Relation

    File in compiler/enco/coreIncludes file in compiler/angkor
    src / ANN / IR / Operand.hinclude / nncc / core / ADT / tensor / Shape.h
    src / ANN / IR / OperandInventory.hinclude / nncc / core / ADT / tensor / Shape.h
    src / Dims.hinclude / nncc / core / ADT / tensor / Shape.h
    src / Transforms / AvgPoolLowering.cppinclude / nncc / core / ADT / feature / Shape.h
    src / Transforms / AvgPoolLowering.cppinclude / nncc / core / ADT / feature / HWCLayout.h
    src / Transforms / ConcatLowering.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Transforms / DataLayoutConversion.cppinclude / nncc / core / ADT / feature / Layout.h
    src / Transforms / DataLayoutConversion.cppinclude / nncc / core / ADT / kernel / Layout.h
    src / Transforms / DataLayoutConversion.cppinclude / nncc / core / ADT / feature / HWCLayout.h
    src / Transforms / DataLayoutConversion.cppinclude / nncc / core / ADT / kernel / NHWCLayout.h
    src / Transforms / Split.cppinclude / nncc / core / ADT / kernel / NHWCLayout.h
    -

    core → souschef Relation

    File in compiler/tflchef/coreIncludes file in compiler/souschef
    src / ModelChef.cppinclude / souschef / RangedArguments.h
    src / ModelChef.cppinclude / souschef / Registry.h
    src / ModelChef.cppinclude / souschef / DataChefs.h
    src / ModelChef.cppinclude / souschef / Dataset.h
    src / ModelChef.cppinclude / souschef / Dims.h
    +

    core → souschef Relation

    File in compiler/tflchef/coreIncludes file in compiler/souschef
    src / ModelChef.cppinclude / souschef / RangedArguments.h
    src / ModelChef.cppinclude / souschef / Registry.h
    src / ModelChef.cppinclude / souschef / DataChefs.h
    src / ModelChef.cppinclude / souschef / Dataset.h
    src / ModelChef.cppinclude / souschef / Dims.h
    -

    dalgona → arser Relation

    File in compiler/dalgonaIncludes file in compiler/arser
    driver / Driver.cppinclude / arser / arser.h
    +

    dalgona → arser Relation

    File in compiler/dalgonaIncludes file in compiler/arser
    driver / Driver.cppinclude / arser / arser.h
    -

    dalgona → luci Relation

    File in compiler/dalgonaIncludes file in compiler/luci
    include / Dalgona.hlang / include / luci / IR / Module.h
    src / Dalgona.cppimport / include / luci / Importer.h
    src / PostOperatorHook.hlang / include / luci / IR / CircleNodeVisitor.h
    src / PreOperatorHook.hlang / include / luci / IR / CircleNodeVisitor.h
    src / StringUtils.cpplang / include / luci / IR / CircleNodeDecl.h
    src / StringUtils.hlang / include / luci / IR / CircleOpcode.h
    src / StringUtils.hlang / include / luci / IR / AttrFusedActFunc.h
    src / Utils.cpplang / include / luci / IR / CircleOpcode.h
    src / Utils.cpplang / include / luci / IR / CircleNodeDecl.h
    +

    dalgona → luci Relation

    File in compiler/dalgonaIncludes file in compiler/luci
    include / Dalgona.hlang / include / luci / IR / Module.h
    src / Dalgona.cppimport / include / luci / Importer.h
    src / PostOperatorHook.hlang / include / luci / IR / CircleNodeVisitor.h
    src / PreOperatorHook.hlang / include / luci / IR / CircleNodeVisitor.h
    src / StringUtils.cpplang / include / luci / IR / CircleNodeDecl.h
    src / StringUtils.hlang / include / luci / IR / CircleOpcode.h
    src / StringUtils.hlang / include / luci / IR / AttrFusedActFunc.h
    src / Utils.cpplang / include / luci / IR / CircleOpcode.h
    src / Utils.cpplang / include / luci / IR / CircleNodeDecl.h
    -

    driver → arser Relation

    File in compiler/circle-eval-diff/driverIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    +

    driver → arser Relation

    File in compiler/circle-eval-diff/driverIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    -

    driver → include Relation

    File in compiler/circle-eval-diff/driverIncludes file in compiler/circle-eval-diff/include
    Driver.cppCircleEvalDiff.h
    +

    driver → include Relation

    File in compiler/circle-eval-diff/driverIncludes file in compiler/circle-eval-diff/include
    Driver.cppCircleEvalDiff.h
    -

    driver → vconone Relation

    File in compiler/circle-eval-diff/driverIncludes file in compiler/vconone
    Driver.cppinclude / vconone / vconone.h
    +

    driver → vconone Relation

    File in compiler/circle-eval-diff/driverIncludes file in compiler/vconone
    Driver.cppinclude / vconone / vconone.h
    -

    driver → arser Relation

    File in compiler/circle-inspect/driverIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    +

    driver → arser Relation

    File in compiler/circle-inspect/driverIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    -

    driver → foder Relation

    File in compiler/circle-inspect/driverIncludes file in compiler/foder
    Driver.cppinclude / foder / FileLoader.h
    +

    driver → foder Relation

    File in compiler/circle-inspect/driverIncludes file in compiler/foder
    Driver.cppinclude / foder / FileLoader.h
    -

    driver → arser Relation

    File in compiler/circle-operator/driverIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    +

    driver → arser Relation

    File in compiler/circle-operator/driverIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    -

    driver → foder Relation

    File in compiler/circle-operator/driverIncludes file in compiler/foder
    Driver.cppinclude / foder / FileLoader.h
    +

    driver → foder Relation

    File in compiler/circle-operator/driverIncludes file in compiler/foder
    Driver.cppinclude / foder / FileLoader.h
    -

    driver → runtime Relation

    File in compiler/circle-operator/driverIncludes file in runtime
    Driver.cppservice / npud / core / Signal.h
    +

    driver → runtime Relation

    File in compiler/circle-operator/driverIncludes file in runtime
    Driver.cppservice / npud / core / Signal.h
    -

    driver → arser Relation

    File in compiler/circle-opselector/driverIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    +

    driver → arser Relation

    File in compiler/circle-opselector/driverIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    -

    driver → luci Relation

    File in compiler/circle-opselector/driverIncludes file in compiler/luci
    Driver.cppservice / include / luci / Service / CircleNodeClone.h
    Driver.cppprofile / include / luci / Profile / CircleNodeID.h
    Driver.cpppartition / include / luci / ConnectNode.h
    +

    driver → luci Relation

    File in compiler/circle-opselector/driverIncludes file in compiler/luci
    Driver.cppservice / include / luci / Service / CircleNodeClone.h
    Driver.cppprofile / include / luci / Profile / CircleNodeID.h
    Driver.cpppartition / include / luci / ConnectNode.h
    -

    driver → src Relation

    File in compiler/circle-opselector/driverIncludes file in compiler/circle-opselector/src
    Driver.cppModuleIO.h
    Driver.cppOpSelector.h
    +

    driver → src Relation

    File in compiler/circle-opselector/driverIncludes file in compiler/circle-opselector/src
    Driver.cppModuleIO.h
    Driver.cppOpSelector.h
    -

    driver → vconone Relation

    File in compiler/circle-opselector/driverIncludes file in compiler/vconone
    Driver.cppinclude / vconone / vconone.h
    +

    driver → vconone Relation

    File in compiler/circle-opselector/driverIncludes file in compiler/vconone
    Driver.cppinclude / vconone / vconone.h
    -

    driver → arser Relation

    File in compiler/circle-tensordump/driverIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    +

    driver → arser Relation

    File in compiler/circle-tensordump/driverIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    -

    driver → foder Relation

    File in compiler/circle-tensordump/driverIncludes file in compiler/foder
    Driver.cppinclude / foder / FileLoader.h
    +

    driver → foder Relation

    File in compiler/circle-tensordump/driverIncludes file in compiler/foder
    Driver.cppinclude / foder / FileLoader.h
    -

    driver → arser Relation

    File in compiler/circledump/driverIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    +

    driver → arser Relation

    File in compiler/circledump/driverIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    -

    driver → foder Relation

    File in compiler/circledump/driverIncludes file in compiler/foder
    Driver.cppinclude / foder / FileLoader.h
    +

    driver → foder Relation

    File in compiler/circledump/driverIncludes file in compiler/foder
    Driver.cppinclude / foder / FileLoader.h
    -

    driver → include Relation

    File in compiler/circledump/driverIncludes file in compiler/circledump/include
    Driver.cppcircledump / Dump.h
    +

    driver → include Relation

    File in compiler/circledump/driverIncludes file in compiler/circledump/include
    Driver.cppcircledump / Dump.h
    -

    driver → arser Relation

    File in compiler/dalgona/driverIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    +

    driver → arser Relation

    File in compiler/dalgona/driverIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    -

    driver → include Relation

    File in compiler/dalgona/driverIncludes file in compiler/dalgona/include
    Driver.cppDalgona.h
    +

    driver → include Relation

    File in compiler/dalgona/driverIncludes file in compiler/dalgona/include
    Driver.cppDalgona.h
    -

    driver → arser Relation

    File in compiler/minmax-embedder/driverIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    +

    driver → arser Relation

    File in compiler/minmax-embedder/driverIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    -

    driver → include Relation

    File in compiler/minmax-embedder/driverIncludes file in compiler/minmax-embedder/include
    Driver.cppminmax-embedder / Embedder.h
    +

    driver → include Relation

    File in compiler/minmax-embedder/driverIncludes file in compiler/minmax-embedder/include
    Driver.cppminmax-embedder / Embedder.h
    -

    driver → vconone Relation

    File in compiler/minmax-embedder/driverIncludes file in compiler/vconone
    Driver.cppinclude / vconone / vconone.h
    +

    driver → vconone Relation

    File in compiler/minmax-embedder/driverIncludes file in compiler/vconone
    Driver.cppinclude / vconone / vconone.h
    +

    driver → include Relation

    File in compiler/nnc/driverIncludes file in compiler/nnc/include
    Driver.cppbackends / acl_soft_backend / AclCppGenerator.h
    Driver.cpppasses / optimizations / CombineTransposes.h
    Driver.cppsupport / CommandLine.h
    Driver.cpppasses / optimizations / ConstantFoldTranspose.h
    Driver.cppbackends / soft_backend / CPPGenerator.h
    Driver.cpppasses / transformations / DataFormatSwitcher.h
    Driver.cpppasses / optimizations / DeadCodeElimination.h
    Driver.cpppasses / dot_dumper / DumperPass.h
    Driver.cpppasses / optimizations / FuseArithmeticOps.h
    Driver.cppbackends / interpreter / InterpreterBackend.h
    Driver.cpppasses / transformations / LowerConv2D.h
    Driver.cpppass / PassData.h
    Driver.cpppasses / optimizations / SinkRelu.h
    Driver.cpppasses / optimizations / SinkTranspose.h
    Driver.hpass / PassManager.h
    main.cppsupport / CommandLine.h
    main.cpppass / PassException.h
    Options.hsupport / CommandLine.h
    -

    driver → arser Relation

    File in compiler/q-implant/driverIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    +

    driver → arser Relation

    File in compiler/q-implant/driverIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    -

    driver → include Relation

    File in compiler/q-implant/driverIncludes file in compiler/q-implant/include
    Driver.cppQImplant.h
    +

    driver → include Relation

    File in compiler/q-implant/driverIncludes file in compiler/q-implant/include
    Driver.cppQImplant.h
    -

    driver → luci Relation

    File in compiler/q-implant/driverIncludes file in compiler/luci
    Driver.cppexport / include / luci / CircleExporter.h
    Driver.cppexport / include / luci / CircleFileExpContract.h
    Driver.cpppass / include / luci / CircleQuantizer.h
    Driver.cppimport / include / luci / ImporterEx.h
    Driver.cppenv / include / luci / UserSettings.h
    Driver.cppservice / include / luci / Service / Validate.h
    +

    driver → luci Relation

    File in compiler/q-implant/driverIncludes file in compiler/luci
    Driver.cppexport / include / luci / CircleExporter.h
    Driver.cppexport / include / luci / CircleFileExpContract.h
    Driver.cpppass / include / luci / CircleQuantizer.h
    Driver.cppimport / include / luci / ImporterEx.h
    Driver.cppenv / include / luci / UserSettings.h
    Driver.cppservice / include / luci / Service / Validate.h
    -

    driver → arser Relation

    File in compiler/record-minmax/driverIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    +

    driver → arser Relation

    File in compiler/record-minmax/driverIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    -

    driver → include Relation

    File in compiler/record-minmax/driverIncludes file in compiler/record-minmax/include
    Driver.cppRecordMinMax.h
    +

    driver → include Relation

    File in compiler/record-minmax/driverIncludes file in compiler/record-minmax/include
    Driver.cppRecordMinMax.h
    -

    driver → luci Relation

    File in compiler/record-minmax/driverIncludes file in compiler/luci
    Driver.cpplog / include / luci / Log.h
    Driver.cppenv / include / luci / UserSettings.h
    +

    driver → luci Relation

    File in compiler/record-minmax/driverIncludes file in compiler/luci
    Driver.cpplog / include / luci / Log.h
    Driver.cppenv / include / luci / UserSettings.h
    -

    driver → vconone Relation

    File in compiler/record-minmax/driverIncludes file in compiler/vconone
    Driver.cppinclude / vconone / vconone.h
    +

    driver → vconone Relation

    File in compiler/record-minmax/driverIncludes file in compiler/vconone
    Driver.cppinclude / vconone / vconone.h
    -

    driver → arser Relation

    File in compiler/tfl-inspect/driverIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    +

    driver → arser Relation

    File in compiler/tfl-inspect/driverIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    -

    driver → foder Relation

    File in compiler/tfl-inspect/driverIncludes file in compiler/foder
    Driver.cppinclude / foder / FileLoader.h
    +

    driver → foder Relation

    File in compiler/tfl-inspect/driverIncludes file in compiler/foder
    Driver.cppinclude / foder / FileLoader.h
    -

    driver → arser Relation

    File in compiler/tfldump/driverIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    +

    driver → arser Relation

    File in compiler/tfldump/driverIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    -

    driver → foder Relation

    File in compiler/tfldump/driverIncludes file in compiler/foder
    Driver.cppinclude / foder / FileLoader.h
    +

    driver → foder Relation

    File in compiler/tfldump/driverIncludes file in compiler/foder
    Driver.cppinclude / foder / FileLoader.h
    -

    driver → include Relation

    File in compiler/tfldump/driverIncludes file in compiler/tfldump/include
    Driver.cpptfldump / Dump.h
    +

    driver → include Relation

    File in compiler/tfldump/driverIncludes file in compiler/tfldump/include
    Driver.cpptfldump / Dump.h
    -

    driver → arser Relation

    File in compiler/tflite2circle/driverIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    +

    driver → arser Relation

    File in compiler/tflite2circle/driverIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    -

    driver → include Relation

    File in compiler/tflite2circle/driverIncludes file in compiler/tflite2circle/include
    Driver.cppCircleModel.h
    Driver.cppTFLModel.h
    +

    driver → include Relation

    File in compiler/tflite2circle/driverIncludes file in compiler/tflite2circle/include
    Driver.cppCircleModel.h
    Driver.cppTFLModel.h
    -

    driver → vconone Relation

    File in compiler/tflite2circle/driverIncludes file in compiler/vconone
    Driver.cppinclude / vconone / vconone.h
    +

    driver → vconone Relation

    File in compiler/tflite2circle/driverIncludes file in compiler/vconone
    Driver.cppinclude / vconone / vconone.h
    -

    driver → include Relation

    File in compiler/vconone/driverIncludes file in compiler/vconone/include
    driver.cppvconone / vconone.h
    +

    driver → include Relation

    File in compiler/vconone/driverIncludes file in compiler/vconone/include
    driver.cppvconone / vconone.h
    -

    enco → angkor Relation

    File in compiler/encoIncludes file in compiler/angkor
    core / src / ANN / IR / Operand.hinclude / nncc / core / ADT / tensor / Shape.h
    core / src / ANN / IR / OperandInventory.hinclude / nncc / core / ADT / tensor / Shape.h
    frontend / caffe / src / Layer / Convolution.cppinclude / nncc / core / ADT / kernel / Overlay.h
    frontend / caffe / src / Layer / Convolution.cppinclude / nncc / core / ADT / kernel / NCHWLayout.h
    frontend / caffe / src / Layer / Input.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    frontend / tflite / src / Op / Activation.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / AveragePool2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / Concatenation.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / Conv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / Div.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / MaxPool2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / Padding.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / Padding.hinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / ReLU.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / ReLU6.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / Reshape.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / Sub.cppinclude / nncc / core / ADT / tensor / Shape.h
    core / src / Dims.hinclude / nncc / core / ADT / tensor / Shape.h
    frontend / caffe / src / ConcatSpec.hinclude / nncc / core / ADT / tensor / Shape.h
    frontend / caffe / src / Convert.hinclude / nncc / core / ADT / tensor / Shape.h
    frontend / caffe / src / ConvolutionSpec.hinclude / nncc / core / ADT / tensor / Shape.h
    frontend / caffe / src / Frontend.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / caffe / src / Frontend.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    frontend / caffe / src / PoolingSpec.hinclude / nncc / core / ADT / tensor / Shape.h
    frontend / caffe / src / ShapeQuery.hinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Context.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Convert.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Convert.hinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Frontend.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    frontend / tflite / src / Frontend.cppinclude / nncc / core / ADT / tensor / Shape.h
    core / src / Transforms / AvgPoolLowering.cppinclude / nncc / core / ADT / feature / Shape.h
    core / src / Transforms / AvgPoolLowering.cppinclude / nncc / core / ADT / feature / HWCLayout.h
    core / src / Transforms / ConcatLowering.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    core / src / Transforms / DataLayoutConversion.cppinclude / nncc / core / ADT / feature / Layout.h
    core / src / Transforms / DataLayoutConversion.cppinclude / nncc / core / ADT / kernel / Layout.h
    core / src / Transforms / DataLayoutConversion.cppinclude / nncc / core / ADT / feature / HWCLayout.h
    core / src / Transforms / DataLayoutConversion.cppinclude / nncc / core / ADT / kernel / NHWCLayout.h
    core / src / Transforms / Split.cppinclude / nncc / core / ADT / kernel / NHWCLayout.h
    +

    enco → angkor Relation

    File in compiler/encoIncludes file in compiler/angkor
    core / src / ANN / IR / Operand.hinclude / nncc / core / ADT / tensor / Shape.h
    core / src / ANN / IR / OperandInventory.hinclude / nncc / core / ADT / tensor / Shape.h
    frontend / caffe / src / Layer / Convolution.cppinclude / nncc / core / ADT / kernel / Overlay.h
    frontend / caffe / src / Layer / Convolution.cppinclude / nncc / core / ADT / kernel / NCHWLayout.h
    frontend / caffe / src / Layer / Input.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    frontend / tflite / src / Op / Activation.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / AveragePool2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / Concatenation.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / Conv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / Div.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / MaxPool2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / Padding.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / Padding.hinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / ReLU.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / ReLU6.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / Reshape.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / Sub.cppinclude / nncc / core / ADT / tensor / Shape.h
    core / src / Dims.hinclude / nncc / core / ADT / tensor / Shape.h
    frontend / caffe / src / ConcatSpec.hinclude / nncc / core / ADT / tensor / Shape.h
    frontend / caffe / src / Convert.hinclude / nncc / core / ADT / tensor / Shape.h
    frontend / caffe / src / ConvolutionSpec.hinclude / nncc / core / ADT / tensor / Shape.h
    frontend / caffe / src / Frontend.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / caffe / src / Frontend.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    frontend / caffe / src / PoolingSpec.hinclude / nncc / core / ADT / tensor / Shape.h
    frontend / caffe / src / ShapeQuery.hinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Context.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Convert.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Convert.hinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Frontend.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    frontend / tflite / src / Frontend.cppinclude / nncc / core / ADT / tensor / Shape.h
    core / src / Transforms / AvgPoolLowering.cppinclude / nncc / core / ADT / feature / Shape.h
    core / src / Transforms / AvgPoolLowering.cppinclude / nncc / core / ADT / feature / HWCLayout.h
    core / src / Transforms / ConcatLowering.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    core / src / Transforms / DataLayoutConversion.cppinclude / nncc / core / ADT / feature / Layout.h
    core / src / Transforms / DataLayoutConversion.cppinclude / nncc / core / ADT / kernel / Layout.h
    core / src / Transforms / DataLayoutConversion.cppinclude / nncc / core / ADT / feature / HWCLayout.h
    core / src / Transforms / DataLayoutConversion.cppinclude / nncc / core / ADT / kernel / NHWCLayout.h
    core / src / Transforms / Split.cppinclude / nncc / core / ADT / kernel / NHWCLayout.h
    -

    enco → enco-intf Relation

    File in compiler/encoIncludes file in compiler/enco-intf
    core / include / enco / Backend.hcmdline / include / cmdline / View.h
    cli / src / Driver.cppfrontend / include / enco / Frontend.h
    cli / src / Driver.cppcmdline / include / cmdline / View.h
    frontend / caffe / src / Entry.cppcmdline / include / cmdline / View.h
    frontend / caffe / src / Frontend.hfrontend / include / enco / Frontend.h
    frontend / tflite / src / Entry.cppcmdline / include / cmdline / View.h
    frontend / tflite / src / Frontend.hfrontend / include / enco / Frontend.h
    +

    enco → enco-intf Relation

    File in compiler/encoIncludes file in compiler/enco-intf
    core / include / enco / Backend.hcmdline / include / cmdline / View.h
    cli / src / Driver.cppfrontend / include / enco / Frontend.h
    cli / src / Driver.cppcmdline / include / cmdline / View.h
    frontend / caffe / src / Entry.cppcmdline / include / cmdline / View.h
    frontend / caffe / src / Frontend.hfrontend / include / enco / Frontend.h
    frontend / tflite / src / Entry.cppcmdline / include / cmdline / View.h
    frontend / tflite / src / Frontend.hfrontend / include / enco / Frontend.h
    -

    encodump → enco Relation

    File in compiler/encodumpIncludes file in compiler/enco
    src / Driver.cppcore / include / enco / Backend.h
    +

    encodump → enco Relation

    File in compiler/encodumpIncludes file in compiler/enco
    src / Driver.cppcore / include / enco / Backend.h
    -

    encodump → enco-intf Relation

    File in compiler/encodumpIncludes file in compiler/enco-intf
    src / Driver.cppfrontend / include / enco / Frontend.h
    src / Driver.cppcmdline / include / cmdline / View.h
    +

    encodump → enco-intf Relation

    File in compiler/encodumpIncludes file in compiler/enco-intf
    src / Driver.cppfrontend / include / enco / Frontend.h
    src / Driver.cppcmdline / include / cmdline / View.h
    -

    file → arser Relation

    File in compiler/circlechef/tools/fileIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    +

    file → arser Relation

    File in compiler/circlechef/tools/fileIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    -

    file → core Relation

    File in compiler/circlechef/tools/fileIncludes file in compiler/circlechef/core
    Driver.cppinclude / circlechef / ModelChef.h
    +

    file → core Relation

    File in compiler/circlechef/tools/fileIncludes file in compiler/circlechef/core
    Driver.cppinclude / circlechef / ModelChef.h
    -

    file → arser Relation

    File in compiler/tflchef/tools/fileIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    +

    file → arser Relation

    File in compiler/tflchef/tools/fileIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    -

    file → core Relation

    File in compiler/tflchef/tools/fileIncludes file in compiler/tflchef/core
    Driver.cppinclude / tflchef / ModelChef.h
    +

    file → core Relation

    File in compiler/tflchef/tools/fileIncludes file in compiler/tflchef/core
    Driver.cppinclude / tflchef / ModelChef.h
    -

    gen → arser Relation

    File in compiler/minmax-embedder-value-test/genIncludes file in compiler/arser
    src / Driver.cppinclude / arser / arser.h
    +

    gen → arser Relation

    File in compiler/minmax-embedder-value-test/genIncludes file in compiler/arser
    src / Driver.cppinclude / arser / arser.h
    -

    include → angkor Relation

    File in compiler/morph/includeIncludes file in compiler/angkor
    morph / caffe.hinclude / nncc / core / ADT / tensor / Shape.h
    morph / caffe.hinclude / nncc / core / ADT / feature / Shape.h
    morph / caffe.hinclude / nncc / core / ADT / kernel / Shape.h
    morph / dims.hinclude / nncc / core / ADT / tensor / Shape.h
    morph / nnapi.hinclude / nncc / core / ADT / tensor / Shape.h
    morph / nnapi.hinclude / nncc / core / ADT / feature / Shape.h
    morph / nnapi.hinclude / nncc / core / ADT / kernel / Shape.h
    morph / tflite.hinclude / nncc / core / ADT / tensor / Shape.h
    morph / tflite.hinclude / nncc / core / ADT / feature / Shape.h
    morph / tflite.hinclude / nncc / core / ADT / kernel / Shape.h
    +

    include → angkor Relation

    File in compiler/morph/includeIncludes file in compiler/angkor
    morph / caffe.hinclude / nncc / core / ADT / tensor / Shape.h
    morph / caffe.hinclude / nncc / core / ADT / feature / Shape.h
    morph / caffe.hinclude / nncc / core / ADT / kernel / Shape.h
    morph / dims.hinclude / nncc / core / ADT / tensor / Shape.h
    morph / nnapi.hinclude / nncc / core / ADT / tensor / Shape.h
    morph / nnapi.hinclude / nncc / core / ADT / feature / Shape.h
    morph / nnapi.hinclude / nncc / core / ADT / kernel / Shape.h
    morph / tflite.hinclude / nncc / core / ADT / tensor / Shape.h
    morph / tflite.hinclude / nncc / core / ADT / feature / Shape.h
    morph / tflite.hinclude / nncc / core / ADT / kernel / Shape.h
    -

    IR → pepper-assert Relation

    File in compiler/coco/core/src/IRIncludes file in compiler/pepper-assert
    Conv2D.cppinclude / pepper / assert.h
    Op.cppinclude / pepper / assert.h
    +

    IR → pepper-assert Relation

    File in compiler/coco/core/src/IRIncludes file in compiler/pepper-assert
    Conv2D.cppinclude / pepper / assert.h
    Op.cppinclude / pepper / assert.h
    -

    kernels → pal Relation

    File in onert-micro/luci-interpreter/src/kernelsIncludes file in onert-micro/luci-interpreter/pal
    Abs.cppcommon / PALAbs.h
    AddN.cppcommon / PALAddN.h
    ArgMax.cppcommon / PALArgMinMax.h
    ArgMin.cppcommon / PALArgMinMax.h
    BinaryOpCommon.hcommon / PALComparisons.h
    BinaryOpCommon.hcommon / Params.h
    BinaryOpCommon.hcommon / ProcessBroadcastShapes.h
    Ceil.cppcommon / PALCeil.h
    ComparisonCommon.hcommon / PALComparisons.h
    Concatenation.cppcommon / PALConcatenation.h
    Cos.cppmcu / PALCos.h
    Div.cppcommon / PALDiv.h
    Exp.cppcommon / PALExp.h
    Floor.cppmcu / PALFloor.h
    FloorDiv.cppmcu / PALFloorDiv.h
    FloorMod.cppmcu / PALFloorMod.h
    GatherND.cppcommon / PALGatherND.h
    LeakyRelu.cppcommon / PALReluCommon.h
    Log.cppcommon / PALLog.h
    LogicalAnd.cppcommon / PALLogicalCommon.h
    LogicalNot.cppmcu / PALLogicalNot.h
    LogicalOr.cppcommon / PALLogicalCommon.h
    Logistic.cppcommon / PALLogistic.h
    Maximum.cppmcu / PALMaximum.h
    Mean.cppcommon / PALMean.h
    Minimum.cppmcu / PALMinimum.h
    MirrorPad.cppcommon / PALMirrorPad.h
    PadCommon.cppcommon / PALPad.h
    PRelu.cppcommon / PALPreluCommon.h
    ReduceCommon.cppcommon / PALReduceCommon.h
    ReduceMax.cppcommon / PALReduceCommon.h
    Relu.cppcommon / PALReluCommon.h
    Relu6.cppcommon / PALReluCommon.h
    Round.cppcommon / PALRound.h
    Rsqrt.cppcommon / PALRsqrt.h
    SelectV2.cppcommon / PALSelectV2.h
    Sin.cppmcu / PALSin.h
    Sqrt.cppcommon / PALSqrt.h
    Square.cppmcu / PALSquare.h
    SquaredDifference.cppcommon / PALSquaredDifference.h
    StridedSlice.cppcommon / PALStridedSlice.h
    Sum.cppcommon / PALReduceCommon.h
    Tanh.cppcommon / PALTanh.h
    Transpose.cppcommon / PALTranspose.h
    TransposeConv.cppcommon / PALTransposeConv.h
    UnidirectionalSequenceLSTM.hcommon / PALUtils.h
    Utils.hcommon / Params.h
    +

    kernels → pal Relation

    File in onert-micro/luci-interpreter/src/kernelsIncludes file in onert-micro/luci-interpreter/pal
    Abs.cppcommon / PALAbs.h
    AddN.cppcommon / PALAddN.h
    ArgMax.cppcommon / PALArgMinMax.h
    ArgMin.cppcommon / PALArgMinMax.h
    BinaryOpCommon.hcommon / PALComparisons.h
    BinaryOpCommon.hcommon / Params.h
    BinaryOpCommon.hcommon / ProcessBroadcastShapes.h
    Ceil.cppcommon / PALCeil.h
    ComparisonCommon.hcommon / PALComparisons.h
    Concatenation.cppcommon / PALConcatenation.h
    Cos.cppmcu / PALCos.h
    Div.cppcommon / PALDiv.h
    Exp.cppcommon / PALExp.h
    Floor.cppmcu / PALFloor.h
    FloorDiv.cppmcu / PALFloorDiv.h
    FloorMod.cppmcu / PALFloorMod.h
    GatherND.cppcommon / PALGatherND.h
    LeakyRelu.cppcommon / PALReluCommon.h
    Log.cppcommon / PALLog.h
    LogicalAnd.cppcommon / PALLogicalCommon.h
    LogicalNot.cppmcu / PALLogicalNot.h
    LogicalOr.cppcommon / PALLogicalCommon.h
    Logistic.cppcommon / PALLogistic.h
    Maximum.cppmcu / PALMaximum.h
    Mean.cppcommon / PALMean.h
    Minimum.cppmcu / PALMinimum.h
    MirrorPad.cppcommon / PALMirrorPad.h
    PadCommon.cppcommon / PALPad.h
    PRelu.cppcommon / PALPreluCommon.h
    ReduceCommon.cppcommon / PALReduceCommon.h
    ReduceMax.cppcommon / PALReduceCommon.h
    Relu.cppcommon / PALReluCommon.h
    Relu6.cppcommon / PALReluCommon.h
    Round.cppcommon / PALRound.h
    Rsqrt.cppcommon / PALRsqrt.h
    SelectV2.cppcommon / PALSelectV2.h
    Sin.cppmcu / PALSin.h
    Sqrt.cppcommon / PALSqrt.h
    Square.cppmcu / PALSquare.h
    SquaredDifference.cppcommon / PALSquaredDifference.h
    StridedSlice.cppcommon / PALStridedSlice.h
    Sum.cppcommon / PALReduceCommon.h
    Tanh.cppcommon / PALTanh.h
    Transpose.cppcommon / PALTranspose.h
    TransposeConv.cppcommon / PALTransposeConv.h
    UnidirectionalSequenceLSTM.hcommon / PALUtils.h
    Utils.hcommon / Params.h
    -

    loader → kernels Relation

    File in compiler/luci-interpreter/src/loaderIncludes file in compiler/luci-interpreter/src/kernels
    nodes / Abs.cppAbs.h
    nodes / Add.cppAdd.h
    nodes / ArgMax.cppArgMax.h
    nodes / AveragePool2D.cppAveragePool2D.h
    nodes / BatchToSpaceND.cppBatchToSpaceND.h
    nodes / BroadcastTo.cppBroadcastTo.h
    nodes / Cast.cppCast.h
    nodes / Concatenation.cppConcatenation.h
    nodes / Conv2D.cppConv2D.h
    nodes / Cos.cppCos.h
    nodes / CumSum.cppCumSum.h
    nodes / DepthToSpace.cppDepthToSpace.h
    nodes / DepthwiseConv2D.cppDepthwiseConv2D.h
    nodes / Dequantize.cppDequantize.h
    nodes / Div.cppDiv.h
    nodes / Elu.cppElu.h
    nodes / Equal.cppEqual.h
    nodes / Exp.cppExp.h
    nodes / ExpandDims.cppExpandDims.h
    nodes / Fill.cppFill.h
    nodes / Floor.cppFloor.h
    nodes / FloorDiv.cppFloorDiv.h
    nodes / FloorMod.cppFloorMod.h
    nodes / FullyConnected.cppFullyConnected.h
    nodes / Gather.cppGather.h
    nodes / Gelu.cppGelu.h
    nodes / Greater.cppGreater.h
    nodes / GreaterEqual.cppGreaterEqual.h
    nodes / HardSwish.cppHardSwish.h
    nodes / If.cppIf.h
    nodes / L2Normalize.cppL2Normalize.h
    nodes / L2Pool2D.cppL2Pool2D.h
    nodes / LeakyRelu.cppLeakyRelu.h
    nodes / Less.cppLess.h
    nodes / LessEqual.cppLessEqual.h
    nodes / Log.cppLog.h
    nodes / LogicalAnd.cppLogicalAnd.h
    nodes / LogicalNot.cppLogicalNot.h
    nodes / LogicalOr.cppLogicalOr.h
    nodes / Logistic.cppLogistic.h
    nodes / LogSoftmax.cppLogSoftmax.h
    nodes / Maximum.cppMaximum.h
    nodes / MaxPool2D.cppMaxPool2D.h
    nodes / Mean.cppMean.h
    nodes / Minimum.cppMinimum.h
    nodes / MirrorPad.cppMirrorPad.h
    nodes / Mul.cppMul.h
    nodes / Neg.cppNeg.h
    nodes / NotEqual.cppNotEqual.h
    nodes / Pack.cppPack.h
    nodes / Pad.cppPad.h
    nodes / PadV2.cppPadV2.h
    nodes / PRelu.cppPRelu.h
    nodes / Quantize.cppQuantize.h
    nodes / ReduceMax.cppReduceMax.h
    nodes / ReduceProd.cppReduceProd.h
    nodes / Relu.cppRelu.h
    nodes / Relu6.cppRelu6.h
    nodes / Reshape.cppReshape.h
    nodes / ResizeBilinear.cppResizeBilinear.h
    nodes / ResizeNearestNeighbor.cppResizeNearestNeighbor.h
    nodes / Rsqrt.cppRsqrt.h
    nodes / Select.cppSelect.h
    nodes / SelectV2.cppSelectV2.h
    nodes / Shape.cppShape.h
    nodes / Sin.cppSin.h
    nodes / Slice.cppSlice.h
    nodes / Softmax.cppSoftmax.h
    nodes / SpaceToBatchND.cppSpaceToBatchND.h
    nodes / SpaceToDepth.cppSpaceToDepth.h
    nodes / SplitV.cppSplitV.h
    nodes / Sqrt.cppSqrt.h
    nodes / Square.cppSquare.h
    nodes / SquaredDifference.cppSquaredDifference.h
    nodes / StridedSlice.cppStridedSlice.h
    nodes / Sub.cppSub.h
    nodes / Sum.cppSum.h
    nodes / SVDF.cppSVDF.h
    nodes / Tanh.cppTanh.h
    nodes / Tile.cppTile.h
    nodes / Transpose.cppTranspose.h
    nodes / TransposeConv.cppTransposeConv.h
    nodes / Unpack.cppUnpack.h
    nodes / While.cppWhile.h
    +

    loader → kernels Relation

    File in compiler/luci-interpreter/src/loaderIncludes file in compiler/luci-interpreter/src/kernels
    nodes / Abs.cppAbs.h
    nodes / Add.cppAdd.h
    nodes / ArgMax.cppArgMax.h
    nodes / AveragePool2D.cppAveragePool2D.h
    nodes / BatchToSpaceND.cppBatchToSpaceND.h
    nodes / BroadcastTo.cppBroadcastTo.h
    nodes / Cast.cppCast.h
    nodes / Concatenation.cppConcatenation.h
    nodes / Conv2D.cppConv2D.h
    nodes / Cos.cppCos.h
    nodes / CumSum.cppCumSum.h
    nodes / DepthToSpace.cppDepthToSpace.h
    nodes / DepthwiseConv2D.cppDepthwiseConv2D.h
    nodes / Dequantize.cppDequantize.h
    nodes / Div.cppDiv.h
    nodes / Elu.cppElu.h
    nodes / Equal.cppEqual.h
    nodes / Exp.cppExp.h
    nodes / ExpandDims.cppExpandDims.h
    nodes / Fill.cppFill.h
    nodes / Floor.cppFloor.h
    nodes / FloorDiv.cppFloorDiv.h
    nodes / FloorMod.cppFloorMod.h
    nodes / FullyConnected.cppFullyConnected.h
    nodes / Gather.cppGather.h
    nodes / Gelu.cppGelu.h
    nodes / Greater.cppGreater.h
    nodes / GreaterEqual.cppGreaterEqual.h
    nodes / HardSwish.cppHardSwish.h
    nodes / If.cppIf.h
    nodes / L2Normalize.cppL2Normalize.h
    nodes / L2Pool2D.cppL2Pool2D.h
    nodes / LeakyRelu.cppLeakyRelu.h
    nodes / Less.cppLess.h
    nodes / LessEqual.cppLessEqual.h
    nodes / Log.cppLog.h
    nodes / LogicalAnd.cppLogicalAnd.h
    nodes / LogicalNot.cppLogicalNot.h
    nodes / LogicalOr.cppLogicalOr.h
    nodes / Logistic.cppLogistic.h
    nodes / LogSoftmax.cppLogSoftmax.h
    nodes / Maximum.cppMaximum.h
    nodes / MaxPool2D.cppMaxPool2D.h
    nodes / Mean.cppMean.h
    nodes / Minimum.cppMinimum.h
    nodes / MirrorPad.cppMirrorPad.h
    nodes / Mul.cppMul.h
    nodes / Neg.cppNeg.h
    nodes / NotEqual.cppNotEqual.h
    nodes / Pack.cppPack.h
    nodes / Pad.cppPad.h
    nodes / PadV2.cppPadV2.h
    nodes / PRelu.cppPRelu.h
    nodes / Quantize.cppQuantize.h
    nodes / ReduceMax.cppReduceMax.h
    nodes / ReduceProd.cppReduceProd.h
    nodes / Relu.cppRelu.h
    nodes / Relu6.cppRelu6.h
    nodes / Reshape.cppReshape.h
    nodes / ResizeBilinear.cppResizeBilinear.h
    nodes / ResizeNearestNeighbor.cppResizeNearestNeighbor.h
    nodes / Rsqrt.cppRsqrt.h
    nodes / Select.cppSelect.h
    nodes / SelectV2.cppSelectV2.h
    nodes / Shape.cppShape.h
    nodes / Sin.cppSin.h
    nodes / Slice.cppSlice.h
    nodes / Softmax.cppSoftmax.h
    nodes / SpaceToBatchND.cppSpaceToBatchND.h
    nodes / SpaceToDepth.cppSpaceToDepth.h
    nodes / SplitV.cppSplitV.h
    nodes / Sqrt.cppSqrt.h
    nodes / Square.cppSquare.h
    nodes / SquaredDifference.cppSquaredDifference.h
    nodes / StridedSlice.cppStridedSlice.h
    nodes / Sub.cppSub.h
    nodes / Sum.cppSum.h
    nodes / SVDF.cppSVDF.h
    nodes / Tanh.cppTanh.h
    nodes / Tile.cppTile.h
    nodes / Transpose.cppTranspose.h
    nodes / TransposeConv.cppTransposeConv.h
    nodes / Unpack.cppUnpack.h
    nodes / While.cppWhile.h
    +

    loader → luci Relation

    File in compiler/luci-interpreter/src/loaderIncludes file in compiler/luci
    GraphLoader.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    KernelBuilder.cpplang / include / luci / IR / CircleNodeDecl.h
    KernelBuilder.cpplang / include / luci / IR / CircleOpcode.h
    KernelBuilder.hlang / include / luci / IR / CircleNodeVisitor.h
    KernelBuilderHelper.cpplang / include / luci / IR / Nodes / CircleOutput.h
    ModuleLoader.hlang / include / luci / IR / Module.h
    RuntimeToIR.hlang / include / luci / IR / CircleNode.h
    nodes / AveragePool2D.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    nodes / BatchMatMul.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    nodes / Builders.hlang / include / luci / IR / CircleNodes.h
    nodes / Conv2D.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    nodes / DepthwiseConv2D.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    -

    loader → ir Relation

    File in runtime/onert/core/include/loaderIncludes file in runtime/onert/core/include/ir
    ILoader.hModel.h
    traininfo_loader.hModel.h
    traininfo_loader.htrain / TrainingInfo.h
    +

    loader → ir Relation

    File in runtime/onert/core/include/loaderIncludes file in runtime/onert/core/include/ir
    ILoader.hModel.h
    ModelLoader.hModel.h
    traininfo_loader.hModel.h
    traininfo_loader.htrain / TrainingInfo.h
    -

    loader → include Relation

    File in runtime/onert/core/src/loaderIncludes file in runtime/onert/core/include
    base_loader.hir / Operations.Include.h
    circle_loader.ccloader / circle_loader.h
    tflite_loader.ccloader / tflite_loader.h
    traininfo_loader.ccloader / traininfo_loader.h
    +

    loader → include Relation

    File in runtime/onert/core/src/loaderIncludes file in runtime/onert/core/include
    base_loader.hir / Operations.Include.h
    circle_loader.ccloader / circle_loader.h
    ModelLoader.ccloader / ILoader.h
    ModelLoader.ccloader / ModelLoader.h
    tflite_loader.ccloader / tflite_loader.h
    traininfo_loader.ccloader / traininfo_loader.h
    -

    luci-interpreter → luci Relation

    File in compiler/luci-interpreterIncludes file in compiler/luci
    src / loader / GraphLoader.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    src / loader / KernelBuilder.cpplang / include / luci / IR / CircleNodeDecl.h
    src / loader / KernelBuilder.cpplang / include / luci / IR / CircleOpcode.h
    src / loader / KernelBuilder.hlang / include / luci / IR / CircleNodeVisitor.h
    src / loader / KernelBuilderHelper.cpplang / include / luci / IR / Nodes / CircleOutput.h
    src / core / KernelParams.hlang / include / luci / IR / AttrFusedActFunc.h
    src / core / KernelParams.hlang / include / luci / IR / AttrMirrorPadMode.h
    src / core / KernelParams.hlang / include / luci / IR / AttrPadding.h
    src / loader / ModuleLoader.hlang / include / luci / IR / Module.h
    src / loader / RuntimeToIR.hlang / include / luci / IR / CircleNode.h
    include / luci_interpreter / GraphBuilderRegistry.himport / include / luci / Import / GraphBuilderRegistry.h
    include / luci_interpreter / Interpreter.hlang / include / luci / IR / Nodes / CircleInput.h
    include / luci_interpreter / Interpreter.hlang / include / luci / IR / Nodes / CircleOutput.h
    include / luci_interpreter / Interpreter.hlang / include / luci / IR / Module.h
    src / import / Nodes / CircleReferencingConst.himport / include / luci / Import / NodeBuilder.h
    src / import / Nodes / CircleReferencingConst.hlang / include / luci / IR / Nodes / CircleConst.h
    src / loader / nodes / AveragePool2D.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    src / loader / nodes / BatchMatMul.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    src / loader / nodes / Builders.hlang / include / luci / IR / CircleNodes.h
    src / loader / nodes / Conv2D.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    src / loader / nodes / DepthwiseConv2D.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    +

    luci-interpreter → luci Relation

    File in compiler/luci-interpreterIncludes file in compiler/luci
    src / loader / GraphLoader.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    src / loader / KernelBuilder.cpplang / include / luci / IR / CircleNodeDecl.h
    src / loader / KernelBuilder.cpplang / include / luci / IR / CircleOpcode.h
    src / loader / KernelBuilder.hlang / include / luci / IR / CircleNodeVisitor.h
    src / loader / KernelBuilderHelper.cpplang / include / luci / IR / Nodes / CircleOutput.h
    src / core / KernelParams.hlang / include / luci / IR / AttrFusedActFunc.h
    src / core / KernelParams.hlang / include / luci / IR / AttrMirrorPadMode.h
    src / core / KernelParams.hlang / include / luci / IR / AttrPadding.h
    src / loader / ModuleLoader.hlang / include / luci / IR / Module.h
    src / loader / RuntimeToIR.hlang / include / luci / IR / CircleNode.h
    include / luci_interpreter / GraphBuilderRegistry.himport / include / luci / Import / GraphBuilderRegistry.h
    include / luci_interpreter / Interpreter.hlang / include / luci / IR / Nodes / CircleInput.h
    include / luci_interpreter / Interpreter.hlang / include / luci / IR / Nodes / CircleOutput.h
    include / luci_interpreter / Interpreter.hlang / include / luci / IR / Module.h
    src / import / Nodes / CircleReferencingConst.himport / include / luci / Import / NodeBuilder.h
    src / import / Nodes / CircleReferencingConst.hlang / include / luci / IR / Nodes / CircleConst.h
    src / loader / nodes / AveragePool2D.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    src / loader / nodes / BatchMatMul.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    src / loader / nodes / Builders.hlang / include / luci / IR / CircleNodes.h
    src / loader / nodes / Conv2D.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    src / loader / nodes / DepthwiseConv2D.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    -

    minmax-embedder → arser Relation

    File in compiler/minmax-embedderIncludes file in compiler/arser
    driver / Driver.cppinclude / arser / arser.h
    +

    minmax-embedder → arser Relation

    File in compiler/minmax-embedderIncludes file in compiler/arser
    driver / Driver.cppinclude / arser / arser.h
    -

    minmax-embedder → vconone Relation

    File in compiler/minmax-embedderIncludes file in compiler/vconone
    driver / Driver.cppinclude / vconone / vconone.h
    +

    minmax-embedder → vconone Relation

    File in compiler/minmax-embedderIncludes file in compiler/vconone
    driver / Driver.cppinclude / vconone / vconone.h
    -

    minmax-embedder-value-test → arser Relation

    File in compiler/minmax-embedder-value-testIncludes file in compiler/arser
    gen / src / Driver.cppinclude / arser / arser.h
    +

    minmax-embedder-value-test → arser Relation

    File in compiler/minmax-embedder-value-testIncludes file in compiler/arser
    gen / src / Driver.cppinclude / arser / arser.h
    -

    mir-interpreter → mir Relation

    File in compiler/mir-interpreterIncludes file in compiler/mir
    include / MirInterpreter.hinclude / mir / Operation.h
    include / MirInterpreter.hinclude / mir / TensorVariant.h
    include / MirInterpreter.hinclude / mir / Visitor.h
    src / ops / Abs.cppinclude / mir / ShapeRange.h
    src / ops / Abs.cppinclude / mir / Tensor.h
    src / ops / Abs.hinclude / mir / TensorVariant.h
    src / ops / Add.cppinclude / mir / Tensor.h
    src / ops / Add.cppinclude / mir / ShapeRange.h
    src / ops / Add.hinclude / mir / TensorVariant.h
    src / ops / AvgPool2D.cppinclude / mir / ShapeRange.h
    src / ops / AvgPool2D.cppinclude / mir / Tensor.h
    src / ops / AvgPool2D.hinclude / mir / ops / AvgPool2DOp.h
    src / ops / AvgPool2D.hinclude / mir / TensorVariant.h
    src / ops / CappedReLU.cppinclude / mir / ShapeRange.h
    src / ops / CappedReLU.cppinclude / mir / Tensor.h
    src / ops / CappedReLU.hinclude / mir / TensorVariant.h
    src / ops / Common.hinclude / mir / Tensor.h
    src / ops / Common.hinclude / mir / TensorVariant.h
    src / ops / Common.hinclude / mir / DataType.h
    src / ops / Common.hinclude / mir / Shape.h
    src / ops / Common.hinclude / mir / Index.h
    src / ops / Concat.hinclude / mir / TensorVariant.h
    src / ops / Conv2D.cppinclude / mir / Tensor.h
    src / ops / Conv2D.hinclude / mir / ops / Conv2DOp.h
    src / ops / Conv2D.hinclude / mir / TensorVariant.h
    src / ops / DeConv2D.cppinclude / mir / TensorUtil.h
    src / ops / DeConv2D.hinclude / mir / Attributes.h
    src / ops / DeConv2D.hinclude / mir / TensorVariant.h
    src / ops / DepthwiseConv2D.cppinclude / mir / ShapeRange.h
    src / ops / DepthwiseConv2D.cppinclude / mir / Tensor.h
    src / ops / DepthwiseConv2D.hinclude / mir / ops / DepthwiseConv2DOp.h
    src / ops / DepthwiseConv2D.hinclude / mir / TensorVariant.h
    src / ops / Div.cppinclude / mir / ShapeRange.h
    src / ops / Div.cppinclude / mir / Tensor.h
    src / ops / Div.hinclude / mir / TensorVariant.h
    src / ops / ELU.cppinclude / mir / ShapeRange.h
    src / ops / ELU.cppinclude / mir / Tensor.h
    src / ops / ELU.hinclude / mir / TensorVariant.h
    src / ops / Equal.cppinclude / mir / ShapeRange.h
    src / ops / Equal.cppinclude / mir / Tensor.h
    src / ops / Equal.hinclude / mir / TensorVariant.h
    src / ops / Fill.hinclude / mir / ShapeRange.h
    src / ops / Fill.hinclude / mir / Tensor.h
    src / ops / FullyConnected.cppinclude / mir / Tensor.h
    src / ops / FullyConnected.hinclude / mir / ops / FullyConnectedOp.h
    src / ops / FullyConnected.hinclude / mir / ShapeRange.h
    src / ops / Gather.cppinclude / mir / Tensor.h
    src / ops / Gather.hinclude / mir / ops / GatherOp.h
    src / ops / Gather.hinclude / mir / TensorVariant.h
    src / ops / Greater.cppinclude / mir / ShapeRange.h
    src / ops / Greater.cppinclude / mir / Tensor.h
    src / ops / Greater.hinclude / mir / TensorVariant.h
    src / ops / HardSwish.hinclude / mir / TensorVariant.h
    src / ops / LeakyReLU.cppinclude / mir / ShapeRange.h
    src / ops / LeakyReLU.cppinclude / mir / Tensor.h
    src / ops / LeakyReLU.hinclude / mir / TensorVariant.h
    src / ops / Less.cppinclude / mir / ShapeRange.h
    src / ops / Less.cppinclude / mir / Tensor.h
    src / ops / Less.hinclude / mir / TensorVariant.h
    src / ops / Max.cppinclude / mir / ShapeRange.h
    src / ops / Max.cppinclude / mir / Tensor.h
    src / ops / Max.hinclude / mir / TensorVariant.h
    src / ops / MaxPool2D.cppinclude / mir / ShapeRange.h
    src / ops / MaxPool2D.cppinclude / mir / Tensor.h
    src / ops / MaxPool2D.hinclude / mir / ops / MaxPool2DOp.h
    src / ops / MaxPool2D.hinclude / mir / TensorVariant.h
    src / ops / Mul.cppinclude / mir / ShapeRange.h
    src / ops / Mul.cppinclude / mir / Tensor.h
    src / ops / Mul.hinclude / mir / TensorVariant.h
    src / ops / Pad.cppinclude / mir / ShapeRange.h
    src / ops / Pad.cppinclude / mir / Tensor.h
    src / ops / Pad.hinclude / mir / ops / PadOp.h
    src / ops / Pad.hinclude / mir / TensorVariant.h
    src / ops / Quantization.cppinclude / mir / Tensor.h
    src / ops / Quantization.cppinclude / mir / ShapeRange.h
    src / ops / Quantization.hinclude / mir / TensorVariant.h
    src / ops / ReduceMean.cppinclude / mir / ops / ReduceMeanOp.h
    src / ops / ReduceMean.cppinclude / mir / Tensor.h
    src / ops / ReduceMean.cppinclude / mir / ShapeRange.h
    src / ops / ReduceMean.hinclude / mir / ops / ReduceMeanOp.h
    src / ops / ReLU.cppinclude / mir / ShapeRange.h
    src / ops / ReLU.cppinclude / mir / Tensor.h
    src / ops / ReLU.hinclude / mir / TensorVariant.h
    src / ops / Reshape.cppinclude / mir / ShapeRange.h
    src / ops / Reshape.hinclude / mir / TensorVariant.h
    src / ops / Sigmoid.cppinclude / mir / ShapeRange.h
    src / ops / Sigmoid.cppinclude / mir / Tensor.h
    src / ops / Sigmoid.hinclude / mir / TensorVariant.h
    src / ops / Slice.cppinclude / mir / Tensor.h
    src / ops / Slice.cppinclude / mir / ShapeRange.h
    src / ops / Slice.hinclude / mir / TensorVariant.h
    src / ops / Softmax.cppinclude / mir / ShapeRange.h
    src / ops / Softmax.cppinclude / mir / Tensor.h
    src / ops / Softmax.hinclude / mir / TensorVariant.h
    src / ops / Sqrt.cppinclude / mir / ShapeRange.h
    src / ops / Sqrt.cppinclude / mir / Tensor.h
    src / ops / Sqrt.hinclude / mir / TensorVariant.h
    src / ops / Sub.cppinclude / mir / ShapeRange.h
    src / ops / Sub.cppinclude / mir / Tensor.h
    src / ops / Sub.hinclude / mir / TensorVariant.h
    src / ops / Tanh.cppinclude / mir / ShapeRange.h
    src / ops / Tanh.cppinclude / mir / Tensor.h
    src / ops / Tanh.hinclude / mir / TensorVariant.h
    src / ops / Transpose.cppinclude / mir / ShapeRange.h
    src / ops / Transpose.cppinclude / mir / Tensor.h
    src / ops / Transpose.hinclude / mir / TensorVariant.h
    src / ops / Transpose.hinclude / mir / ops / TransposeOp.h
    src / MirInterpreter.cppinclude / mir / OpDefs.h
    +

    mir-interpreter → mir Relation

    File in compiler/mir-interpreterIncludes file in compiler/mir
    include / MirInterpreter.hinclude / mir / Operation.h
    include / MirInterpreter.hinclude / mir / TensorVariant.h
    include / MirInterpreter.hinclude / mir / Visitor.h
    src / ops / Abs.cppinclude / mir / ShapeRange.h
    src / ops / Abs.cppinclude / mir / Tensor.h
    src / ops / Abs.hinclude / mir / TensorVariant.h
    src / ops / Add.cppinclude / mir / Tensor.h
    src / ops / Add.cppinclude / mir / ShapeRange.h
    src / ops / Add.hinclude / mir / TensorVariant.h
    src / ops / AvgPool2D.cppinclude / mir / ShapeRange.h
    src / ops / AvgPool2D.cppinclude / mir / Tensor.h
    src / ops / AvgPool2D.hinclude / mir / ops / AvgPool2DOp.h
    src / ops / AvgPool2D.hinclude / mir / TensorVariant.h
    src / ops / CappedReLU.cppinclude / mir / ShapeRange.h
    src / ops / CappedReLU.cppinclude / mir / Tensor.h
    src / ops / CappedReLU.hinclude / mir / TensorVariant.h
    src / ops / Common.hinclude / mir / Tensor.h
    src / ops / Common.hinclude / mir / TensorVariant.h
    src / ops / Common.hinclude / mir / DataType.h
    src / ops / Common.hinclude / mir / Shape.h
    src / ops / Common.hinclude / mir / Index.h
    src / ops / Concat.hinclude / mir / TensorVariant.h
    src / ops / Conv2D.cppinclude / mir / Tensor.h
    src / ops / Conv2D.hinclude / mir / ops / Conv2DOp.h
    src / ops / Conv2D.hinclude / mir / TensorVariant.h
    src / ops / DeConv2D.cppinclude / mir / TensorUtil.h
    src / ops / DeConv2D.hinclude / mir / Attributes.h
    src / ops / DeConv2D.hinclude / mir / TensorVariant.h
    src / ops / DepthwiseConv2D.cppinclude / mir / ShapeRange.h
    src / ops / DepthwiseConv2D.cppinclude / mir / Tensor.h
    src / ops / DepthwiseConv2D.hinclude / mir / ops / DepthwiseConv2DOp.h
    src / ops / DepthwiseConv2D.hinclude / mir / TensorVariant.h
    src / ops / Div.cppinclude / mir / ShapeRange.h
    src / ops / Div.cppinclude / mir / Tensor.h
    src / ops / Div.hinclude / mir / TensorVariant.h
    src / ops / ELU.cppinclude / mir / ShapeRange.h
    src / ops / ELU.cppinclude / mir / Tensor.h
    src / ops / ELU.hinclude / mir / TensorVariant.h
    src / ops / Equal.cppinclude / mir / ShapeRange.h
    src / ops / Equal.cppinclude / mir / Tensor.h
    src / ops / Equal.hinclude / mir / TensorVariant.h
    src / ops / Fill.hinclude / mir / ShapeRange.h
    src / ops / Fill.hinclude / mir / Tensor.h
    src / ops / FullyConnected.cppinclude / mir / Tensor.h
    src / ops / FullyConnected.hinclude / mir / ops / FullyConnectedOp.h
    src / ops / FullyConnected.hinclude / mir / ShapeRange.h
    src / ops / Gather.cppinclude / mir / Tensor.h
    src / ops / Gather.hinclude / mir / ops / GatherOp.h
    src / ops / Gather.hinclude / mir / TensorVariant.h
    src / ops / Greater.cppinclude / mir / ShapeRange.h
    src / ops / Greater.cppinclude / mir / Tensor.h
    src / ops / Greater.hinclude / mir / TensorVariant.h
    src / ops / HardSwish.hinclude / mir / TensorVariant.h
    src / ops / LeakyReLU.cppinclude / mir / ShapeRange.h
    src / ops / LeakyReLU.cppinclude / mir / Tensor.h
    src / ops / LeakyReLU.hinclude / mir / TensorVariant.h
    src / ops / Less.cppinclude / mir / ShapeRange.h
    src / ops / Less.cppinclude / mir / Tensor.h
    src / ops / Less.hinclude / mir / TensorVariant.h
    src / ops / Max.cppinclude / mir / ShapeRange.h
    src / ops / Max.cppinclude / mir / Tensor.h
    src / ops / Max.hinclude / mir / TensorVariant.h
    src / ops / MaxPool2D.cppinclude / mir / ShapeRange.h
    src / ops / MaxPool2D.cppinclude / mir / Tensor.h
    src / ops / MaxPool2D.hinclude / mir / ops / MaxPool2DOp.h
    src / ops / MaxPool2D.hinclude / mir / TensorVariant.h
    src / ops / Mul.cppinclude / mir / ShapeRange.h
    src / ops / Mul.cppinclude / mir / Tensor.h
    src / ops / Mul.hinclude / mir / TensorVariant.h
    src / ops / Pad.cppinclude / mir / ShapeRange.h
    src / ops / Pad.cppinclude / mir / Tensor.h
    src / ops / Pad.hinclude / mir / ops / PadOp.h
    src / ops / Pad.hinclude / mir / TensorVariant.h
    src / ops / Quantization.cppinclude / mir / Tensor.h
    src / ops / Quantization.cppinclude / mir / ShapeRange.h
    src / ops / Quantization.hinclude / mir / TensorVariant.h
    src / ops / ReduceMean.cppinclude / mir / ops / ReduceMeanOp.h
    src / ops / ReduceMean.cppinclude / mir / Tensor.h
    src / ops / ReduceMean.cppinclude / mir / ShapeRange.h
    src / ops / ReduceMean.hinclude / mir / ops / ReduceMeanOp.h
    src / ops / ReLU.cppinclude / mir / ShapeRange.h
    src / ops / ReLU.cppinclude / mir / Tensor.h
    src / ops / ReLU.hinclude / mir / TensorVariant.h
    src / ops / Reshape.cppinclude / mir / ShapeRange.h
    src / ops / Reshape.hinclude / mir / TensorVariant.h
    src / ops / Sigmoid.cppinclude / mir / ShapeRange.h
    src / ops / Sigmoid.cppinclude / mir / Tensor.h
    src / ops / Sigmoid.hinclude / mir / TensorVariant.h
    src / ops / Slice.cppinclude / mir / Tensor.h
    src / ops / Slice.cppinclude / mir / ShapeRange.h
    src / ops / Slice.hinclude / mir / TensorVariant.h
    src / ops / Softmax.cppinclude / mir / ShapeRange.h
    src / ops / Softmax.cppinclude / mir / Tensor.h
    src / ops / Softmax.hinclude / mir / TensorVariant.h
    src / ops / Sqrt.cppinclude / mir / ShapeRange.h
    src / ops / Sqrt.cppinclude / mir / Tensor.h
    src / ops / Sqrt.hinclude / mir / TensorVariant.h
    src / ops / Sub.cppinclude / mir / ShapeRange.h
    src / ops / Sub.cppinclude / mir / Tensor.h
    src / ops / Sub.hinclude / mir / TensorVariant.h
    src / ops / Tanh.cppinclude / mir / ShapeRange.h
    src / ops / Tanh.cppinclude / mir / Tensor.h
    src / ops / Tanh.hinclude / mir / TensorVariant.h
    src / ops / Transpose.cppinclude / mir / ShapeRange.h
    src / ops / Transpose.cppinclude / mir / Tensor.h
    src / ops / Transpose.hinclude / mir / TensorVariant.h
    src / ops / Transpose.hinclude / mir / ops / TransposeOp.h
    src / MirInterpreter.cppinclude / mir / OpDefs.h
    -

    morph → angkor Relation

    File in compiler/morphIncludes file in compiler/angkor
    include / morph / caffe.hinclude / nncc / core / ADT / tensor / Shape.h
    include / morph / caffe.hinclude / nncc / core / ADT / feature / Shape.h
    include / morph / caffe.hinclude / nncc / core / ADT / kernel / Shape.h
    include / morph / dims.hinclude / nncc / core / ADT / tensor / Shape.h
    include / morph / nnapi.hinclude / nncc / core / ADT / tensor / Shape.h
    include / morph / nnapi.hinclude / nncc / core / ADT / feature / Shape.h
    include / morph / nnapi.hinclude / nncc / core / ADT / kernel / Shape.h
    include / morph / tflite.hinclude / nncc / core / ADT / tensor / Shape.h
    include / morph / tflite.hinclude / nncc / core / ADT / feature / Shape.h
    include / morph / tflite.hinclude / nncc / core / ADT / kernel / Shape.h
    +

    morph → angkor Relation

    File in compiler/morphIncludes file in compiler/angkor
    include / morph / caffe.hinclude / nncc / core / ADT / tensor / Shape.h
    include / morph / caffe.hinclude / nncc / core / ADT / feature / Shape.h
    include / morph / caffe.hinclude / nncc / core / ADT / kernel / Shape.h
    include / morph / dims.hinclude / nncc / core / ADT / tensor / Shape.h
    include / morph / nnapi.hinclude / nncc / core / ADT / tensor / Shape.h
    include / morph / nnapi.hinclude / nncc / core / ADT / feature / Shape.h
    include / morph / nnapi.hinclude / nncc / core / ADT / kernel / Shape.h
    include / morph / tflite.hinclude / nncc / core / ADT / tensor / Shape.h
    include / morph / tflite.hinclude / nncc / core / ADT / feature / Shape.h
    include / morph / tflite.hinclude / nncc / core / ADT / kernel / Shape.h
    -

    morph → angkor Relation

    File in compiler/morph/include/morphIncludes file in compiler/angkor
    caffe.hinclude / nncc / core / ADT / tensor / Shape.h
    caffe.hinclude / nncc / core / ADT / feature / Shape.h
    caffe.hinclude / nncc / core / ADT / kernel / Shape.h
    dims.hinclude / nncc / core / ADT / tensor / Shape.h
    nnapi.hinclude / nncc / core / ADT / tensor / Shape.h
    nnapi.hinclude / nncc / core / ADT / feature / Shape.h
    nnapi.hinclude / nncc / core / ADT / kernel / Shape.h
    tflite.hinclude / nncc / core / ADT / tensor / Shape.h
    tflite.hinclude / nncc / core / ADT / feature / Shape.h
    tflite.hinclude / nncc / core / ADT / kernel / Shape.h
    +

    morph → angkor Relation

    File in compiler/morph/include/morphIncludes file in compiler/angkor
    caffe.hinclude / nncc / core / ADT / tensor / Shape.h
    caffe.hinclude / nncc / core / ADT / feature / Shape.h
    caffe.hinclude / nncc / core / ADT / kernel / Shape.h
    dims.hinclude / nncc / core / ADT / tensor / Shape.h
    nnapi.hinclude / nncc / core / ADT / tensor / Shape.h
    nnapi.hinclude / nncc / core / ADT / feature / Shape.h
    nnapi.hinclude / nncc / core / ADT / kernel / Shape.h
    tflite.hinclude / nncc / core / ADT / tensor / Shape.h
    tflite.hinclude / nncc / core / ADT / feature / Shape.h
    tflite.hinclude / nncc / core / ADT / kernel / Shape.h
    +

    nnfw → core Relation

    File in runtime/onert/api/nnfwIncludes file in runtime/onert/core
    src / CustomKernel.hinclude / backend / CustomKernelBuilder.h
    src / CustomKernel.hinclude / exec / IFunction.h
    src / nnfw_api_internal.ccinclude / compiler / CompilerFactory.h
    src / nnfw_api_internal.ccinclude / util / Exceptions.h
    src / nnfw_api_internal.ccinclude / exec / Execution.h
    src / nnfw_api_internal.ccinclude / loader / circle_loader.h
    src / nnfw_api_internal.ccinclude / loader / ModelLoader.h
    src / nnfw_api_internal.ccinclude / loader / tflite_loader.h
    src / nnfw_api_internal.ccinclude / loader / traininfo_loader.h
    src / nnfw_api_internal.ccinclude / ir / NNPkg.h
    src / nnfw_api_internal.ccinclude / ir / OpCode.h
    src / nnfw_api_internal.ccinclude / ir / train / TrainingInfo.h
    src / nnfw_api_internal.ccinclude / util / TracingCtx.h
    src / nnfw_api_internal.ccinclude / odc / QuantizeManager.h
    src / nnfw_api_internal.ccinclude / odc / CodegenManager.h
    src / nnfw_api_internal.hinclude / util / TracingCtx.h
    -

    nodes → kernels Relation

    File in compiler/luci-interpreter/src/loader/nodesIncludes file in compiler/luci-interpreter/src/kernels
    Abs.cppAbs.h
    Add.cppAdd.h
    ArgMax.cppArgMax.h
    AveragePool2D.cppAveragePool2D.h
    BatchToSpaceND.cppBatchToSpaceND.h
    BroadcastTo.cppBroadcastTo.h
    Cast.cppCast.h
    Concatenation.cppConcatenation.h
    Conv2D.cppConv2D.h
    Cos.cppCos.h
    CumSum.cppCumSum.h
    DepthToSpace.cppDepthToSpace.h
    DepthwiseConv2D.cppDepthwiseConv2D.h
    Dequantize.cppDequantize.h
    Div.cppDiv.h
    Elu.cppElu.h
    Equal.cppEqual.h
    Exp.cppExp.h
    ExpandDims.cppExpandDims.h
    Fill.cppFill.h
    Floor.cppFloor.h
    FloorDiv.cppFloorDiv.h
    FloorMod.cppFloorMod.h
    FullyConnected.cppFullyConnected.h
    Gather.cppGather.h
    Gelu.cppGelu.h
    Greater.cppGreater.h
    GreaterEqual.cppGreaterEqual.h
    HardSwish.cppHardSwish.h
    If.cppIf.h
    L2Normalize.cppL2Normalize.h
    L2Pool2D.cppL2Pool2D.h
    LeakyRelu.cppLeakyRelu.h
    Less.cppLess.h
    LessEqual.cppLessEqual.h
    Log.cppLog.h
    LogicalAnd.cppLogicalAnd.h
    LogicalNot.cppLogicalNot.h
    LogicalOr.cppLogicalOr.h
    Logistic.cppLogistic.h
    LogSoftmax.cppLogSoftmax.h
    Maximum.cppMaximum.h
    MaxPool2D.cppMaxPool2D.h
    Mean.cppMean.h
    Minimum.cppMinimum.h
    MirrorPad.cppMirrorPad.h
    Mul.cppMul.h
    Neg.cppNeg.h
    NotEqual.cppNotEqual.h
    Pack.cppPack.h
    Pad.cppPad.h
    PadV2.cppPadV2.h
    PRelu.cppPRelu.h
    Quantize.cppQuantize.h
    ReduceMax.cppReduceMax.h
    ReduceProd.cppReduceProd.h
    Relu.cppRelu.h
    Relu6.cppRelu6.h
    Reshape.cppReshape.h
    ResizeBilinear.cppResizeBilinear.h
    ResizeNearestNeighbor.cppResizeNearestNeighbor.h
    Rsqrt.cppRsqrt.h
    Select.cppSelect.h
    SelectV2.cppSelectV2.h
    Shape.cppShape.h
    Sin.cppSin.h
    Slice.cppSlice.h
    Softmax.cppSoftmax.h
    SpaceToBatchND.cppSpaceToBatchND.h
    SpaceToDepth.cppSpaceToDepth.h
    SplitV.cppSplitV.h
    Sqrt.cppSqrt.h
    Square.cppSquare.h
    SquaredDifference.cppSquaredDifference.h
    StridedSlice.cppStridedSlice.h
    Sub.cppSub.h
    Sum.cppSum.h
    SVDF.cppSVDF.h
    Tanh.cppTanh.h
    Tile.cppTile.h
    Transpose.cppTranspose.h
    TransposeConv.cppTransposeConv.h
    Unpack.cppUnpack.h
    While.cppWhile.h
    +

    nodes → kernels Relation

    File in compiler/luci-interpreter/src/loader/nodesIncludes file in compiler/luci-interpreter/src/kernels
    Abs.cppAbs.h
    Add.cppAdd.h
    ArgMax.cppArgMax.h
    AveragePool2D.cppAveragePool2D.h
    BatchToSpaceND.cppBatchToSpaceND.h
    BroadcastTo.cppBroadcastTo.h
    Cast.cppCast.h
    Concatenation.cppConcatenation.h
    Conv2D.cppConv2D.h
    Cos.cppCos.h
    CumSum.cppCumSum.h
    DepthToSpace.cppDepthToSpace.h
    DepthwiseConv2D.cppDepthwiseConv2D.h
    Dequantize.cppDequantize.h
    Div.cppDiv.h
    Elu.cppElu.h
    Equal.cppEqual.h
    Exp.cppExp.h
    ExpandDims.cppExpandDims.h
    Fill.cppFill.h
    Floor.cppFloor.h
    FloorDiv.cppFloorDiv.h
    FloorMod.cppFloorMod.h
    FullyConnected.cppFullyConnected.h
    Gather.cppGather.h
    Gelu.cppGelu.h
    Greater.cppGreater.h
    GreaterEqual.cppGreaterEqual.h
    HardSwish.cppHardSwish.h
    If.cppIf.h
    L2Normalize.cppL2Normalize.h
    L2Pool2D.cppL2Pool2D.h
    LeakyRelu.cppLeakyRelu.h
    Less.cppLess.h
    LessEqual.cppLessEqual.h
    Log.cppLog.h
    LogicalAnd.cppLogicalAnd.h
    LogicalNot.cppLogicalNot.h
    LogicalOr.cppLogicalOr.h
    Logistic.cppLogistic.h
    LogSoftmax.cppLogSoftmax.h
    Maximum.cppMaximum.h
    MaxPool2D.cppMaxPool2D.h
    Mean.cppMean.h
    Minimum.cppMinimum.h
    MirrorPad.cppMirrorPad.h
    Mul.cppMul.h
    Neg.cppNeg.h
    NotEqual.cppNotEqual.h
    Pack.cppPack.h
    Pad.cppPad.h
    PadV2.cppPadV2.h
    PRelu.cppPRelu.h
    Quantize.cppQuantize.h
    ReduceMax.cppReduceMax.h
    ReduceProd.cppReduceProd.h
    Relu.cppRelu.h
    Relu6.cppRelu6.h
    Reshape.cppReshape.h
    ResizeBilinear.cppResizeBilinear.h
    ResizeNearestNeighbor.cppResizeNearestNeighbor.h
    Rsqrt.cppRsqrt.h
    Select.cppSelect.h
    SelectV2.cppSelectV2.h
    Shape.cppShape.h
    Sin.cppSin.h
    Slice.cppSlice.h
    Softmax.cppSoftmax.h
    SpaceToBatchND.cppSpaceToBatchND.h
    SpaceToDepth.cppSpaceToDepth.h
    SplitV.cppSplitV.h
    Sqrt.cppSqrt.h
    Square.cppSquare.h
    SquaredDifference.cppSquaredDifference.h
    StridedSlice.cppStridedSlice.h
    Sub.cppSub.h
    Sum.cppSum.h
    SVDF.cppSVDF.h
    Tanh.cppTanh.h
    Tile.cppTile.h
    Transpose.cppTranspose.h
    TransposeConv.cppTransposeConv.h
    Unpack.cppUnpack.h
    While.cppWhile.h
    -

    onnx2tflite → exo Relation

    File in compiler/onnx2tfliteIncludes file in compiler/exo
    src / Driver.cppinclude / exo / TFLExporter.h
    +

    onnx2tflite → exo Relation

    File in compiler/onnx2tfliteIncludes file in compiler/exo
    src / Driver.cppinclude / exo / TFLExporter.h
    -

    onnx2tflite → mir Relation

    File in compiler/onnx2tfliteIncludes file in compiler/mir
    src / Driver.cppinclude / mir_onnx_importer / ONNXImporterImpl.h
    +

    onnx2tflite → mir Relation

    File in compiler/onnx2tfliteIncludes file in compiler/mir
    src / Driver.cppinclude / mir_onnx_importer / ONNXImporterImpl.h
    -

    onnx2tflite → mir2loco Relation

    File in compiler/onnx2tfliteIncludes file in compiler/mir2loco
    src / Driver.cppinclude / mir2loco.h
    +

    onnx2tflite → mir2loco Relation

    File in compiler/onnx2tfliteIncludes file in compiler/mir2loco
    src / Driver.cppinclude / mir2loco.h
    -

    onnxkit → cli Relation

    File in compiler/onnxkitIncludes file in compiler/cli
    src / DecodeCommand.hppinclude / cli / Command.h
    src / EncodeCommand.hppinclude / cli / Command.h
    src / Main.cppinclude / cli / App.h
    +

    onnxkit → cli Relation

    File in compiler/onnxkitIncludes file in compiler/cli
    src / DecodeCommand.hppinclude / cli / Command.h
    src / EncodeCommand.hppinclude / cli / Command.h
    src / Main.cppinclude / cli / App.h
    +

    operation → neon Relation

    File in compute/cker/include/cker/operationIncludes file in compute/cker/include/cker/neon
    AveragePool.hneon_check.h
    Common.hneon_check.h
    DepthwiseConv.hneon_check.h
    optimized / integer_ops / DepthwiseConvInt8.hneon_check.h
    Dequantize.hneon_check.h
    FullyConnected.hneon_check.h
    MaxPool.hneon_check.h
    Reduce.hneon_check.h
    optimized / BinaryArithmeticOps.hneon_check.h
    optimized / Conv.hneon_check.h
    optimized / DepthwiseConvFloat.hneon_check.h
    optimized / DepthwiseConvUint8.hneon_check.h
    -

    operation → optimized Relation

    File in compute/cker/include/cker/operationIncludes file in compute/cker/include/cker/operation/optimized
    BinaryArithmeticOps.hBinaryArithmeticOps.h
    Conv.hConv.h
    DepthwiseConv.hDepthwiseConvFloat.h
    DepthwiseConv.hinteger_ops / DepthwiseConvInt8.h
    DepthwiseConv.hDepthwiseConvUint8.h
    FullyConnected.hGemm.h
    +

    operation → optimized Relation

    File in compute/cker/include/cker/operationIncludes file in compute/cker/include/cker/operation/optimized
    BinaryArithmeticOps.hBinaryArithmeticOps.h
    Conv.hConv.h
    DepthwiseConv.hDepthwiseConvFloat.h
    DepthwiseConv.hinteger_ops / DepthwiseConvInt8.h
    DepthwiseConv.hDepthwiseConvUint8.h
    FullyConnected.hGemm.h
    -

    operation → reference Relation

    File in compute/cker/include/cker/operationIncludes file in compute/cker/include/cker/operation/reference
    BatchMatMul.hBatchMatMul.h
    BinaryArithmeticOps.hBinaryArithmeticOps.h
    Conv.hConv.h
    DepthwiseConv.hinteger_ops / DepthwiseConvHybrid.h
    DepthwiseConv.hinteger_ops / DepthwiseConvUInt8.h
    optimized / BinaryArithmeticOps.hBinaryArithmeticOps.h
    +

    operation → reference Relation

    File in compute/cker/include/cker/operationIncludes file in compute/cker/include/cker/operation/reference
    BatchMatMul.hBatchMatMul.h
    BinaryArithmeticOps.hBinaryArithmeticOps.h
    Conv.hConv.h
    DepthwiseConv.hinteger_ops / DepthwiseConvHybrid.h
    DepthwiseConv.hinteger_ops / DepthwiseConvUInt8.h
    optimized / BinaryArithmeticOps.hBinaryArithmeticOps.h
    -

    ops → internal Relation

    File in compiler/ann-ref/src/opsIncludes file in compiler/ann-ref/src/ops/internal
    Add.float.cppActivationUtils.h
    Add.float.cppArray.h
    Add.float.cppFused.h
    Add.float.cppMatrix.h
    Add.float.cppNDArray.h
    AvgPool2D.cppPooling.h
    AvgPool2D.float.cppActivationUtils.h
    AvgPool2D.float.cppArray.h
    AvgPool2D.float.cppFeatureMap.h
    AvgPool2D.float.cppFused.h
    AvgPool2D.float.cppMatrix.h
    Concatenation.float.cppArray.h
    Concatenation.float.cppFused.h
    Concatenation.float.cppMatrix.h
    Conv2D.cppSpatial.h
    Conv2D.float.cppActivationUtils.h
    Conv2D.float.cppArray.h
    Conv2D.float.cppFused.h
    Conv2D.float.cppGEMM.h
    Conv2D.float.cppMatrix.h
    Conv2D.float.cppSpatial.h
    DepthwiseConv2D.cppSpatial.h
    DepthwiseConv2D.float.cppActivationUtils.h
    DepthwiseConv2D.float.cppArray.h
    DepthwiseConv2D.float.cppFused.h
    DepthwiseConv2D.float.cppSpatial.h
    Div.float.cppActivationUtils.h
    Div.float.cppArray.h
    Div.float.cppFused.h
    Div.float.cppMatrix.h
    Div.float.cppNDArray.h
    FullyConnected.float.cppActivationUtils.h
    FullyConnected.float.cppFused.h
    FullyConnected.float.cppGEMM.h
    FullyConnected.float.cppMatrix.h
    MaxPool2D.cppPooling.h
    MaxPool2D.float.cppActivationUtils.h
    MaxPool2D.float.cppArray.h
    MaxPool2D.float.cppFeatureMap.h
    MaxPool2D.float.cppFused.h
    MaxPool2D.float.cppMatrix.h
    Mul.float.cppActivationUtils.h
    Mul.float.cppArray.h
    Mul.float.cppFused.h
    Mul.float.cppMatrix.h
    Mul.float.cppNDArray.h
    Pad.cppDims.h
    ReLU.cppElementwise.h
    ReLU6.cppElementwise.h
    Softmax.cppElementwise.h
    Softmax.float.cppArray.h
    Softmax.float.cppMatrix.h
    Sub.float.cppActivationUtils.h
    Sub.float.cppArray.h
    Sub.float.cppFused.h
    Sub.float.cppMatrix.h
    Sub.float.cppNDArray.h
    +

    ops → internal Relation

    File in compiler/ann-ref/src/opsIncludes file in compiler/ann-ref/src/ops/internal
    Add.float.cppActivationUtils.h
    Add.float.cppArray.h
    Add.float.cppFused.h
    Add.float.cppMatrix.h
    Add.float.cppNDArray.h
    AvgPool2D.cppPooling.h
    AvgPool2D.float.cppActivationUtils.h
    AvgPool2D.float.cppArray.h
    AvgPool2D.float.cppFeatureMap.h
    AvgPool2D.float.cppFused.h
    AvgPool2D.float.cppMatrix.h
    Concatenation.float.cppArray.h
    Concatenation.float.cppFused.h
    Concatenation.float.cppMatrix.h
    Conv2D.cppSpatial.h
    Conv2D.float.cppActivationUtils.h
    Conv2D.float.cppArray.h
    Conv2D.float.cppFused.h
    Conv2D.float.cppGEMM.h
    Conv2D.float.cppMatrix.h
    Conv2D.float.cppSpatial.h
    DepthwiseConv2D.cppSpatial.h
    DepthwiseConv2D.float.cppActivationUtils.h
    DepthwiseConv2D.float.cppArray.h
    DepthwiseConv2D.float.cppFused.h
    DepthwiseConv2D.float.cppSpatial.h
    Div.float.cppActivationUtils.h
    Div.float.cppArray.h
    Div.float.cppFused.h
    Div.float.cppMatrix.h
    Div.float.cppNDArray.h
    FullyConnected.float.cppActivationUtils.h
    FullyConnected.float.cppFused.h
    FullyConnected.float.cppGEMM.h
    FullyConnected.float.cppMatrix.h
    MaxPool2D.cppPooling.h
    MaxPool2D.float.cppActivationUtils.h
    MaxPool2D.float.cppArray.h
    MaxPool2D.float.cppFeatureMap.h
    MaxPool2D.float.cppFused.h
    MaxPool2D.float.cppMatrix.h
    Mul.float.cppActivationUtils.h
    Mul.float.cppArray.h
    Mul.float.cppFused.h
    Mul.float.cppMatrix.h
    Mul.float.cppNDArray.h
    Pad.cppDims.h
    ReLU.cppElementwise.h
    ReLU6.cppElementwise.h
    Softmax.cppElementwise.h
    Softmax.float.cppArray.h
    Softmax.float.cppMatrix.h
    Sub.float.cppActivationUtils.h
    Sub.float.cppArray.h
    Sub.float.cppFused.h
    Sub.float.cppMatrix.h
    Sub.float.cppNDArray.h
    -

    ops → mir Relation

    File in compiler/mir-interpreter/src/opsIncludes file in compiler/mir
    Abs.cppinclude / mir / ShapeRange.h
    Abs.cppinclude / mir / Tensor.h
    Abs.hinclude / mir / TensorVariant.h
    Add.cppinclude / mir / ShapeRange.h
    Add.cppinclude / mir / Tensor.h
    Add.hinclude / mir / TensorVariant.h
    AvgPool2D.cppinclude / mir / ShapeRange.h
    AvgPool2D.cppinclude / mir / Tensor.h
    AvgPool2D.hinclude / mir / ops / AvgPool2DOp.h
    AvgPool2D.hinclude / mir / TensorVariant.h
    CappedReLU.cppinclude / mir / ShapeRange.h
    CappedReLU.cppinclude / mir / Tensor.h
    CappedReLU.hinclude / mir / TensorVariant.h
    Common.hinclude / mir / DataType.h
    Common.hinclude / mir / Index.h
    Common.hinclude / mir / Shape.h
    Common.hinclude / mir / Tensor.h
    Common.hinclude / mir / TensorVariant.h
    Concat.hinclude / mir / TensorVariant.h
    Conv2D.cppinclude / mir / Tensor.h
    Conv2D.hinclude / mir / ops / Conv2DOp.h
    Conv2D.hinclude / mir / TensorVariant.h
    DeConv2D.cppinclude / mir / TensorUtil.h
    DeConv2D.hinclude / mir / Attributes.h
    DeConv2D.hinclude / mir / TensorVariant.h
    DepthwiseConv2D.cppinclude / mir / ShapeRange.h
    DepthwiseConv2D.cppinclude / mir / Tensor.h
    DepthwiseConv2D.hinclude / mir / ops / DepthwiseConv2DOp.h
    DepthwiseConv2D.hinclude / mir / TensorVariant.h
    Div.cppinclude / mir / ShapeRange.h
    Div.cppinclude / mir / Tensor.h
    Div.hinclude / mir / TensorVariant.h
    ELU.cppinclude / mir / ShapeRange.h
    ELU.cppinclude / mir / Tensor.h
    ELU.hinclude / mir / TensorVariant.h
    Equal.cppinclude / mir / ShapeRange.h
    Equal.cppinclude / mir / Tensor.h
    Equal.hinclude / mir / TensorVariant.h
    Fill.hinclude / mir / ShapeRange.h
    Fill.hinclude / mir / Tensor.h
    FullyConnected.cppinclude / mir / Tensor.h
    FullyConnected.hinclude / mir / ops / FullyConnectedOp.h
    FullyConnected.hinclude / mir / ShapeRange.h
    Gather.cppinclude / mir / Tensor.h
    Gather.hinclude / mir / ops / GatherOp.h
    Gather.hinclude / mir / TensorVariant.h
    Greater.cppinclude / mir / ShapeRange.h
    Greater.cppinclude / mir / Tensor.h
    Greater.hinclude / mir / TensorVariant.h
    HardSwish.hinclude / mir / TensorVariant.h
    LeakyReLU.cppinclude / mir / ShapeRange.h
    LeakyReLU.cppinclude / mir / Tensor.h
    LeakyReLU.hinclude / mir / TensorVariant.h
    Less.cppinclude / mir / ShapeRange.h
    Less.cppinclude / mir / Tensor.h
    Less.hinclude / mir / TensorVariant.h
    Max.cppinclude / mir / ShapeRange.h
    Max.cppinclude / mir / Tensor.h
    Max.hinclude / mir / TensorVariant.h
    MaxPool2D.cppinclude / mir / ShapeRange.h
    MaxPool2D.cppinclude / mir / Tensor.h
    MaxPool2D.hinclude / mir / ops / MaxPool2DOp.h
    MaxPool2D.hinclude / mir / TensorVariant.h
    Mul.cppinclude / mir / ShapeRange.h
    Mul.cppinclude / mir / Tensor.h
    Mul.hinclude / mir / TensorVariant.h
    Pad.cppinclude / mir / ShapeRange.h
    Pad.cppinclude / mir / Tensor.h
    Pad.hinclude / mir / ops / PadOp.h
    Pad.hinclude / mir / TensorVariant.h
    Quantization.cppinclude / mir / ShapeRange.h
    Quantization.cppinclude / mir / Tensor.h
    Quantization.hinclude / mir / TensorVariant.h
    ReduceMean.cppinclude / mir / ops / ReduceMeanOp.h
    ReduceMean.cppinclude / mir / ShapeRange.h
    ReduceMean.cppinclude / mir / Tensor.h
    ReduceMean.hinclude / mir / ops / ReduceMeanOp.h
    ReLU.cppinclude / mir / ShapeRange.h
    ReLU.cppinclude / mir / Tensor.h
    ReLU.hinclude / mir / TensorVariant.h
    Reshape.cppinclude / mir / ShapeRange.h
    Reshape.hinclude / mir / TensorVariant.h
    Sigmoid.cppinclude / mir / ShapeRange.h
    Sigmoid.cppinclude / mir / Tensor.h
    Sigmoid.hinclude / mir / TensorVariant.h
    Slice.cppinclude / mir / ShapeRange.h
    Slice.cppinclude / mir / Tensor.h
    Slice.hinclude / mir / TensorVariant.h
    Softmax.cppinclude / mir / ShapeRange.h
    Softmax.cppinclude / mir / Tensor.h
    Softmax.hinclude / mir / TensorVariant.h
    Sqrt.cppinclude / mir / ShapeRange.h
    Sqrt.cppinclude / mir / Tensor.h
    Sqrt.hinclude / mir / TensorVariant.h
    Sub.cppinclude / mir / ShapeRange.h
    Sub.cppinclude / mir / Tensor.h
    Sub.hinclude / mir / TensorVariant.h
    Tanh.cppinclude / mir / ShapeRange.h
    Tanh.cppinclude / mir / Tensor.h
    Tanh.hinclude / mir / TensorVariant.h
    Transpose.cppinclude / mir / ShapeRange.h
    Transpose.cppinclude / mir / Tensor.h
    Transpose.hinclude / mir / TensorVariant.h
    Transpose.hinclude / mir / ops / TransposeOp.h
    +

    ops → mir Relation

    File in compiler/mir-interpreter/src/opsIncludes file in compiler/mir
    Abs.cppinclude / mir / ShapeRange.h
    Abs.cppinclude / mir / Tensor.h
    Abs.hinclude / mir / TensorVariant.h
    Add.cppinclude / mir / ShapeRange.h
    Add.cppinclude / mir / Tensor.h
    Add.hinclude / mir / TensorVariant.h
    AvgPool2D.cppinclude / mir / ShapeRange.h
    AvgPool2D.cppinclude / mir / Tensor.h
    AvgPool2D.hinclude / mir / ops / AvgPool2DOp.h
    AvgPool2D.hinclude / mir / TensorVariant.h
    CappedReLU.cppinclude / mir / ShapeRange.h
    CappedReLU.cppinclude / mir / Tensor.h
    CappedReLU.hinclude / mir / TensorVariant.h
    Common.hinclude / mir / DataType.h
    Common.hinclude / mir / Index.h
    Common.hinclude / mir / Shape.h
    Common.hinclude / mir / Tensor.h
    Common.hinclude / mir / TensorVariant.h
    Concat.hinclude / mir / TensorVariant.h
    Conv2D.cppinclude / mir / Tensor.h
    Conv2D.hinclude / mir / ops / Conv2DOp.h
    Conv2D.hinclude / mir / TensorVariant.h
    DeConv2D.cppinclude / mir / TensorUtil.h
    DeConv2D.hinclude / mir / Attributes.h
    DeConv2D.hinclude / mir / TensorVariant.h
    DepthwiseConv2D.cppinclude / mir / ShapeRange.h
    DepthwiseConv2D.cppinclude / mir / Tensor.h
    DepthwiseConv2D.hinclude / mir / ops / DepthwiseConv2DOp.h
    DepthwiseConv2D.hinclude / mir / TensorVariant.h
    Div.cppinclude / mir / ShapeRange.h
    Div.cppinclude / mir / Tensor.h
    Div.hinclude / mir / TensorVariant.h
    ELU.cppinclude / mir / ShapeRange.h
    ELU.cppinclude / mir / Tensor.h
    ELU.hinclude / mir / TensorVariant.h
    Equal.cppinclude / mir / ShapeRange.h
    Equal.cppinclude / mir / Tensor.h
    Equal.hinclude / mir / TensorVariant.h
    Fill.hinclude / mir / ShapeRange.h
    Fill.hinclude / mir / Tensor.h
    FullyConnected.cppinclude / mir / Tensor.h
    FullyConnected.hinclude / mir / ops / FullyConnectedOp.h
    FullyConnected.hinclude / mir / ShapeRange.h
    Gather.cppinclude / mir / Tensor.h
    Gather.hinclude / mir / ops / GatherOp.h
    Gather.hinclude / mir / TensorVariant.h
    Greater.cppinclude / mir / ShapeRange.h
    Greater.cppinclude / mir / Tensor.h
    Greater.hinclude / mir / TensorVariant.h
    HardSwish.hinclude / mir / TensorVariant.h
    LeakyReLU.cppinclude / mir / ShapeRange.h
    LeakyReLU.cppinclude / mir / Tensor.h
    LeakyReLU.hinclude / mir / TensorVariant.h
    Less.cppinclude / mir / ShapeRange.h
    Less.cppinclude / mir / Tensor.h
    Less.hinclude / mir / TensorVariant.h
    Max.cppinclude / mir / ShapeRange.h
    Max.cppinclude / mir / Tensor.h
    Max.hinclude / mir / TensorVariant.h
    MaxPool2D.cppinclude / mir / ShapeRange.h
    MaxPool2D.cppinclude / mir / Tensor.h
    MaxPool2D.hinclude / mir / ops / MaxPool2DOp.h
    MaxPool2D.hinclude / mir / TensorVariant.h
    Mul.cppinclude / mir / ShapeRange.h
    Mul.cppinclude / mir / Tensor.h
    Mul.hinclude / mir / TensorVariant.h
    Pad.cppinclude / mir / ShapeRange.h
    Pad.cppinclude / mir / Tensor.h
    Pad.hinclude / mir / ops / PadOp.h
    Pad.hinclude / mir / TensorVariant.h
    Quantization.cppinclude / mir / ShapeRange.h
    Quantization.cppinclude / mir / Tensor.h
    Quantization.hinclude / mir / TensorVariant.h
    ReduceMean.cppinclude / mir / ops / ReduceMeanOp.h
    ReduceMean.cppinclude / mir / ShapeRange.h
    ReduceMean.cppinclude / mir / Tensor.h
    ReduceMean.hinclude / mir / ops / ReduceMeanOp.h
    ReLU.cppinclude / mir / ShapeRange.h
    ReLU.cppinclude / mir / Tensor.h
    ReLU.hinclude / mir / TensorVariant.h
    Reshape.cppinclude / mir / ShapeRange.h
    Reshape.hinclude / mir / TensorVariant.h
    Sigmoid.cppinclude / mir / ShapeRange.h
    Sigmoid.cppinclude / mir / Tensor.h
    Sigmoid.hinclude / mir / TensorVariant.h
    Slice.cppinclude / mir / ShapeRange.h
    Slice.cppinclude / mir / Tensor.h
    Slice.hinclude / mir / TensorVariant.h
    Softmax.cppinclude / mir / ShapeRange.h
    Softmax.cppinclude / mir / Tensor.h
    Softmax.hinclude / mir / TensorVariant.h
    Sqrt.cppinclude / mir / ShapeRange.h
    Sqrt.cppinclude / mir / Tensor.h
    Sqrt.hinclude / mir / TensorVariant.h
    Sub.cppinclude / mir / ShapeRange.h
    Sub.cppinclude / mir / Tensor.h
    Sub.hinclude / mir / TensorVariant.h
    Tanh.cppinclude / mir / ShapeRange.h
    Tanh.cppinclude / mir / Tensor.h
    Tanh.hinclude / mir / TensorVariant.h
    Transpose.cppinclude / mir / ShapeRange.h
    Transpose.cppinclude / mir / Tensor.h
    Transpose.hinclude / mir / TensorVariant.h
    Transpose.hinclude / mir / ops / TransposeOp.h
    -

    optimized → neon Relation

    File in compute/cker/include/cker/operation/optimizedIncludes file in compute/cker/include/cker/neon
    BinaryArithmeticOps.hneon_check.h
    Conv.hneon_check.h
    DepthwiseConvFloat.hneon_check.h
    integer_ops / DepthwiseConvInt8.hneon_check.h
    DepthwiseConvUint8.hneon_check.h
    +

    optimized → neon Relation

    File in compute/cker/include/cker/operation/optimizedIncludes file in compute/cker/include/cker/neon
    BinaryArithmeticOps.hneon_check.h
    Conv.hneon_check.h
    DepthwiseConvFloat.hneon_check.h
    integer_ops / DepthwiseConvInt8.hneon_check.h
    DepthwiseConvUint8.hneon_check.h
    +

    partition → lang Relation

    File in compiler/luci/partitionIncludes file in compiler/luci/lang
    include / luci / ConnectNode.hinclude / luci / IR / CircleNode.h
    include / luci / ConnectNode.hinclude / luci / IR / CircleNodeVisitor.h
    include / luci / Partition.hinclude / luci / IR / Module.h
    include / luci / PartitionValidate.hinclude / luci / IR / Module.h
    src / CircleOpCode.cppinclude / luci / IR / CircleNodes.h
    src / CircleOpCode.cppinclude / luci / IR / CircleNodeVisitor.h
    src / CircleOpCode.hinclude / luci / IR / CircleNode.h
    src / PartitionCleanup.hinclude / luci / IR / Module.h
    src / PartitionIR.hinclude / luci / IR / CircleNodes.h
    src / PartitionPGroups.cppinclude / luci / IR / CircleNodes.h
    src / PartitionPGroups.cppinclude / luci / IR / CircleNodeVisitor.h
    src / PartitionPGroups.hinclude / luci / IR / Module.h
    -

    pass → lang Relation

    File in compiler/luci/passIncludes file in compiler/luci/lang
    include / luci / CircleOptimizer.hinclude / luci / IR / Module.h
    src / helpers / Compute.hinclude / luci / IR / CircleNodes.h
    src / helpers / CreateCircleConst.hinclude / luci / IR / CircleNodes.h
    include / luci / DynamicBatchToSingleBatch.hinclude / luci / IR / Module.h
    src / helpers / ExpressionCache.hinclude / luci / IR / CircleNodes.h
    src / helpers / InferenceCandidates.cppinclude / luci / IR / DeadNodeQueryService.h
    src / helpers / LayerInfoMap.cppinclude / luci / IR / CircleNode.h
    include / luci / ModulePass.hinclude / luci / IR / Module.h
    src / helpers / Shape.hinclude / luci / IR / CircleNodes.h
    src / helpers / SparsityFormatConverter.cppinclude / luci / IR / SparsityParam.h
    src / helpers / SparsityFormatConverter.hinclude / luci / IR / SparsityParam.h
    include / luci / Pass / FusePreActivationBatchNormPass.hinclude / luci / IR / CircleNodes.h
    include / luci / Pass / RemoveDuplicateConstPass.hinclude / luci / IR / CircleNodes.h
    include / luci / Pass / SparsifyTensorPass.hinclude / luci / IR / SparsityParam.h
    src / BatchNormPatternFinder.cppinclude / luci / IR / CircleNodes.h
    src / BatchNormPatternFinder.hinclude / luci / IR / CircleNodes.h
    src / CircleOptimizer.cppinclude / luci / IR / CircleNodes.h
    src / CircleQuantizer.cppinclude / luci / IR / CircleNode.h
    src / CommonSubExpressionEliminationPass.cppinclude / luci / IR / CircleNodes.h
    src / ConvertNCHWToNHWCPass.cppinclude / luci / IR / CircleNodes.h
    src / ConvertNCHWToNHWCPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / ConvertToFakeQuantizedModelPass.cppinclude / luci / IR / CircleNodes.h
    src / ConvertToFakeQuantizedModelPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / CopyQuantParamPass.cppinclude / luci / IR / CircleNodes.h
    src / DecomposeHardSwishPass.cppinclude / luci / IR / CircleNodes.h
    src / DecomposeSoftmaxPass.cppinclude / luci / IR / CircleNodes.h
    src / DynamicBatchToSingleBatchPass.cppinclude / luci / IR / CircleNode.h
    src / ExpandBroadcastConstPass.cppinclude / luci / IR / CircleNodes.h
    src / FoldAddV2Pass.cppinclude / luci / IR / CircleNodes.h
    src / FoldCastPass.cppinclude / luci / IR / CircleNodes.h
    src / FoldDensifyPass.cppinclude / luci / IR / CircleNodes.h
    src / FoldDepthwiseConv2DPass.cppinclude / luci / IR / CircleNodes.h
    src / FoldDepthwiseConv2DPass.cppinclude / luci / IR / AttrFusedActFunc.h
    src / FoldDequantizePass.cppinclude / luci / IR / CircleNodes.h
    src / FoldFullyConnectedPass.cppinclude / luci / IR / CircleNodes.h
    src / FoldFullyConnectedPass.cppinclude / luci / IR / AttrFusedActFunc.h
    src / FoldGatherPass.cppinclude / luci / IR / CircleNodes.h
    src / FoldShapePass.cppinclude / luci / IR / CircleNodes.h
    src / FoldSparseToDensePass.cppinclude / luci / IR / CircleNodes.h
    src / ForceQuantParamPass.cppinclude / luci / IR / CircleNodes.h
    src / ForwardReshapeToUnaryOpPass.cppinclude / luci / IR / CircleNodes.h
    src / ForwardReshapeToUnaryOpPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / ForwardTransposeOpPass.cppinclude / luci / IR / CircleNodes.h
    src / ForwardTransposeOpPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / FuseActivationFunctionPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseActivationFunctionPass.cppinclude / luci / IR / CircleNodeMixins.h
    src / FuseActivationFunctionPass.cppinclude / luci / IR / CircleOpcode.h
    src / FuseAddWithFullyConnectedPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseAddWithTConvPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseBatchNormWithConvPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseBatchNormWithDwConvPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseBatchNormWithTConvPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseBCQPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseGeluPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseHorizontalFullyConnectedPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseInstanceNormPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseInstanceNormPassInternal.hinclude / luci / IR / CircleNodes.h
    src / FuseMeanWithMeanPass.cppinclude / luci / IR / CircleNode.h
    src / FuseMulWithConvPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseMulWithDivPass.cppinclude / luci / IR / CircleNodes.h
    src / FusePreActivationBatchNormPass.cppinclude / luci / IR / CircleNodes.h
    src / FusePreActivationBatchNormPassInternal.hinclude / luci / IR / CircleNodes.h
    src / FusePReluPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseSliceWithTConvPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseTransposeWithMeanPass.cppinclude / luci / IR / CircleNode.h
    src / MakeBatchNormGammaPositivePass.cppinclude / luci / IR / CircleNodes.h
    src / PassTestGraphs.hinclude / luci / IR / CircleNodes.h
    src / ProgressReporter.hinclude / luci / IR / Module.h
    src / PropagateQParamBackwardPass.cppinclude / luci / IR / CircleNodes.h
    src / PropagateQParamBackwardPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / PropagateQParamForwardPass.cppinclude / luci / IR / CircleNodes.h
    src / PropagateQParamForwardPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / QuantizationUtils.hinclude / luci / IR / CircleNodes.h
    src / QuantizeActivation.hinclude / luci / IR / CircleNodeVisitor.h
    src / QuantizeBias.hinclude / luci / IR / CircleNodeVisitor.h
    src / QuantizeDequantizeWeightsPass.cppinclude / luci / IR / CircleNodes.h
    src / QuantizeDequantizeWeightsPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / QuantizedModelVerifier.cppinclude / luci / IR / CircleNodes.h
    src / QuantizedModelVerifier.cppinclude / luci / IR / CircleNodeVisitor.h
    src / QuantizePreCheckerPass.cppinclude / luci / IR / CircleNodes.h
    src / QuantizePreCheckerPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / QuantizeWeights.hinclude / luci / IR / CircleNodeVisitor.h
    src / QuantizeWeightsOnly.hinclude / luci / IR / CircleNodeVisitor.h
    src / QuantizeWithMinMaxPass.cppinclude / luci / IR / CircleNodes.h
    src / QuantizeWithMinMaxPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / RemoveFakeQuantPass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveQuantDequantSeqPass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveRedundantDequantizePass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveRedundantQuantizePass.cppinclude / luci / IR / CircleNode.h
    src / RemoveRedundantReshape.cppinclude / luci / IR / CircleNodes.h
    src / RemoveRedundantTransposePass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveUnnecessaryAddPass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveUnnecessaryReshapeNetPass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveUnnecessaryReshapePass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveUnnecessarySlicePass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveUnnecessarySplitPass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveUnnecessaryStridedSlicePass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveUnnecessaryTransposeNetPass.cppinclude / luci / IR / CircleNodes.h
    src / ReplaceMulAddWithDepthwiseConvPass.cppinclude / luci / IR / CircleNodes.h
    src / ReplaceNonConstFCWithBatchMatMulPass.cppinclude / luci / IR / CircleNodes.h
    src / ReplaceSubWithAddPass.cppinclude / luci / IR / CircleNodes.h
    src / ReplaceWithFCGeluFCPass.cppinclude / luci / IR / CircleNodes.h
    src / RequantizePass.cppinclude / luci / IR / CircleNodes.h
    src / RequantizePass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / ResolveCustomOpAddPass.cppinclude / luci / IR / CircleNodes.h
    src / ResolveCustomOpAddPass.cppinclude / luci / IR / AttrFusedActFunc.h
    src / ResolveCustomOpBatchMatMulPass.cppinclude / luci / IR / CircleNodes.h
    src / ResolveCustomOpMatMulPass.cppinclude / luci / IR / CircleNodes.h
    src / ResolveCustomOpMaxPoolWithArgmaxPass.cppinclude / luci / IR / CircleNodes.h
    src / ResolveCustomOpSplitVPass.cppinclude / luci / IR / CircleNodes.h
    src / ResolveFormerCustomOpPass.cppinclude / luci / IR / CircleNodes.h
    src / ResolveFormerCustomOpPass.cppinclude / luci / IR / AttrFusedActFunc.h
    src / ShuffleWeightTo16x1Float32Pass.cppinclude / luci / IR / CircleNodes.h
    src / Sparsifier.hinclude / luci / IR / SparsityParam.h
    src / SparsifyTensorPass.cppinclude / luci / IR / CircleNodes.h
    src / SubstitutePackToReshapePass.cppinclude / luci / IR / CircleNodes.h
    src / SubstitutePadV2ToPadPass.cppinclude / luci / IR / CircleNodes.h
    src / SubstituteSplitVToSplitPass.cppinclude / luci / IR / CircleNodes.h
    src / SubstituteSqueezeToReshapePass.cppinclude / luci / IR / CircleNodes.h
    src / SubstituteStridedSliceToReshapePass.cppinclude / luci / IR / CircleNodes.h
    src / SubstituteTransposeToReshapePass.cppinclude / luci / IR / CircleNodes.h
    src / TransformMinMaxToRelu6Pass.cppinclude / luci / IR / CircleNodes.h
    src / TransformMinReluToRelu6Pass.cppinclude / luci / IR / CircleNodes.h
    src / UnrollUnidirectionalSequenceLSTMPass.cppinclude / luci / IR / CircleNodes.h
    src / VerifyQuantizedBiasScale.hinclude / luci / IR / CircleNodes.h
    src / VerifyQuantizedBiasScale.hinclude / luci / IR / CircleNodeVisitor.h
    src / VerifyQuantizedNodeGranularity.cppinclude / luci / IR / CircleNodes.h
    src / VerifyQuantizedNodeGranularity.hinclude / luci / IR / CircleNodes.h
    src / VerifyQuantizedNodeGranularity.hinclude / luci / IR / CircleNodeVisitor.h
    src / VerifyQuantizedNodeType.hinclude / luci / IR / CircleNodes.h
    src / VerifyQuantizedNodeType.hinclude / luci / IR / CircleNodeVisitor.h
    src / XpSepActFromTransposeConvPass.cppinclude / luci / IR / CircleNodes.h
    src / XpSepActFromTransposeConvPass.cppinclude / luci / IR / CircleNodeMixins.h
    +

    pass → lang Relation

    File in compiler/luci/passIncludes file in compiler/luci/lang
    include / luci / CircleOptimizer.hinclude / luci / IR / Module.h
    src / helpers / Compute.hinclude / luci / IR / CircleNodes.h
    src / helpers / CreateCircleConst.hinclude / luci / IR / CircleNodes.h
    include / luci / DynamicBatchToSingleBatch.hinclude / luci / IR / Module.h
    src / helpers / ExpressionCache.hinclude / luci / IR / CircleNodes.h
    src / helpers / InferenceCandidates.cppinclude / luci / IR / DeadNodeQueryService.h
    src / helpers / LayerInfoMap.cppinclude / luci / IR / CircleNode.h
    include / luci / ModulePass.hinclude / luci / IR / Module.h
    src / helpers / Shape.hinclude / luci / IR / CircleNodes.h
    src / helpers / SparsityFormatConverter.cppinclude / luci / IR / SparsityParam.h
    src / helpers / SparsityFormatConverter.hinclude / luci / IR / SparsityParam.h
    include / luci / Pass / FusePreActivationBatchNormPass.hinclude / luci / IR / CircleNodes.h
    include / luci / Pass / RemoveDuplicateConstPass.hinclude / luci / IR / CircleNodes.h
    include / luci / Pass / SparsifyTensorPass.hinclude / luci / IR / SparsityParam.h
    src / BatchNormPatternFinder.cppinclude / luci / IR / CircleNodes.h
    src / BatchNormPatternFinder.hinclude / luci / IR / CircleNodes.h
    src / CircleOptimizer.cppinclude / luci / IR / CircleNodes.h
    src / CircleQuantizer.cppinclude / luci / IR / CircleNode.h
    src / CommonSubExpressionEliminationPass.cppinclude / luci / IR / CircleNodes.h
    src / ConvertNCHWToNHWCPass.cppinclude / luci / IR / CircleNodes.h
    src / ConvertNCHWToNHWCPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / ConvertToFakeQuantizedModelPass.cppinclude / luci / IR / CircleNodes.h
    src / ConvertToFakeQuantizedModelPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / CopyQuantParamPass.cppinclude / luci / IR / CircleNodes.h
    src / DecomposeHardSwishPass.cppinclude / luci / IR / CircleNodes.h
    src / DecomposeSoftmaxPass.cppinclude / luci / IR / CircleNodes.h
    src / DynamicBatchToSingleBatchPass.cppinclude / luci / IR / CircleNode.h
    src / ExpandBroadcastConstPass.cppinclude / luci / IR / CircleNodes.h
    src / FoldAddV2Pass.cppinclude / luci / IR / CircleNodes.h
    src / FoldCastPass.cppinclude / luci / IR / CircleNodes.h
    src / FoldDensifyPass.cppinclude / luci / IR / CircleNodes.h
    src / FoldDepthwiseConv2DPass.cppinclude / luci / IR / CircleNodes.h
    src / FoldDepthwiseConv2DPass.cppinclude / luci / IR / AttrFusedActFunc.h
    src / FoldDequantizePass.cppinclude / luci / IR / CircleNodes.h
    src / FoldFullyConnectedPass.cppinclude / luci / IR / CircleNodes.h
    src / FoldFullyConnectedPass.cppinclude / luci / IR / AttrFusedActFunc.h
    src / FoldGatherPass.cppinclude / luci / IR / CircleNodes.h
    src / FoldShapePass.cppinclude / luci / IR / CircleNodes.h
    src / FoldSparseToDensePass.cppinclude / luci / IR / CircleNodes.h
    src / ForceQuantParamPass.cppinclude / luci / IR / CircleNodes.h
    src / ForwardReshapeToUnaryOpPass.cppinclude / luci / IR / CircleNodes.h
    src / ForwardReshapeToUnaryOpPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / ForwardTransposeOpPass.cppinclude / luci / IR / CircleNodes.h
    src / ForwardTransposeOpPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / FuseActivationFunctionPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseActivationFunctionPass.cppinclude / luci / IR / CircleNodeMixins.h
    src / FuseActivationFunctionPass.cppinclude / luci / IR / CircleOpcode.h
    src / FuseAddWithFullyConnectedPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseAddWithTConvPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseBatchNormWithConvPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseBatchNormWithDwConvPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseBatchNormWithTConvPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseBCQPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseGeluPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseHorizontalFullyConnectedPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseInstanceNormPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseInstanceNormPassInternal.hinclude / luci / IR / CircleNodes.h
    src / FuseMeanWithMeanPass.cppinclude / luci / IR / CircleNode.h
    src / FuseMulWithConvPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseMulWithDivPass.cppinclude / luci / IR / CircleNodes.h
    src / FusePreActivationBatchNormPass.cppinclude / luci / IR / CircleNodes.h
    src / FusePreActivationBatchNormPassInternal.hinclude / luci / IR / CircleNodes.h
    src / FusePReluPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseSliceWithTConvPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseTransposeWithMeanPass.cppinclude / luci / IR / CircleNode.h
    src / MakeBatchNormGammaPositivePass.cppinclude / luci / IR / CircleNodes.h
    src / PassTestGraphs.hinclude / luci / IR / CircleNodes.h
    src / ProgressReporter.hinclude / luci / IR / Module.h
    src / PropagateQParamBackwardPass.cppinclude / luci / IR / CircleNodes.h
    src / PropagateQParamBackwardPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / PropagateQParamForwardPass.cppinclude / luci / IR / CircleNodes.h
    src / PropagateQParamForwardPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / QuantizationUtils.hinclude / luci / IR / CircleNodes.h
    src / QuantizeActivation.hinclude / luci / IR / CircleNodeVisitor.h
    src / QuantizeBias.hinclude / luci / IR / CircleNodeVisitor.h
    src / QuantizeDequantizeWeightsPass.cppinclude / luci / IR / CircleNodes.h
    src / QuantizeDequantizeWeightsPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / QuantizedModelVerifier.cppinclude / luci / IR / CircleNodes.h
    src / QuantizedModelVerifier.cppinclude / luci / IR / CircleNodeVisitor.h
    src / QuantizePreCheckerPass.cppinclude / luci / IR / CircleNodes.h
    src / QuantizePreCheckerPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / QuantizeWeights.hinclude / luci / IR / CircleNodeVisitor.h
    src / QuantizeWeightsOnly.hinclude / luci / IR / CircleNodeVisitor.h
    src / QuantizeWithMinMaxPass.cppinclude / luci / IR / CircleNodes.h
    src / QuantizeWithMinMaxPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / RemoveFakeQuantPass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveQuantDequantSeqPass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveRedundantDequantizePass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveRedundantQuantizePass.cppinclude / luci / IR / CircleNode.h
    src / RemoveRedundantReshape.cppinclude / luci / IR / CircleNodes.h
    src / RemoveRedundantTransposePass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveUnnecessaryAddPass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveUnnecessaryReshapeNetPass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveUnnecessaryReshapePass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveUnnecessarySlicePass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveUnnecessarySplitPass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveUnnecessaryStridedSlicePass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveUnnecessaryTransposeNetPass.cppinclude / luci / IR / CircleNodes.h
    src / ReplaceMulAddWithDepthwiseConvPass.cppinclude / luci / IR / CircleNodes.h
    src / ReplaceNonConstFCWithBatchMatMulPass.cppinclude / luci / IR / CircleNodes.h
    src / ReplaceSubWithAddPass.cppinclude / luci / IR / CircleNodes.h
    src / ReplaceWithFCGeluFCPass.cppinclude / luci / IR / CircleNodes.h
    src / RequantizePass.cppinclude / luci / IR / CircleNodes.h
    src / RequantizePass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / ResolveCustomOpAddPass.cppinclude / luci / IR / CircleNodes.h
    src / ResolveCustomOpAddPass.cppinclude / luci / IR / AttrFusedActFunc.h
    src / ResolveCustomOpBatchMatMulPass.cppinclude / luci / IR / CircleNodes.h
    src / ResolveCustomOpMatMulPass.cppinclude / luci / IR / CircleNodes.h
    src / ResolveCustomOpMaxPoolWithArgmaxPass.cppinclude / luci / IR / CircleNodes.h
    src / ResolveCustomOpSplitVPass.cppinclude / luci / IR / CircleNodes.h
    src / ResolveFormerCustomOpPass.cppinclude / luci / IR / CircleNodes.h
    src / ResolveFormerCustomOpPass.cppinclude / luci / IR / AttrFusedActFunc.h
    src / ShuffleWeightTo16x1Float32Pass.cppinclude / luci / IR / CircleNodes.h
    src / Sparsifier.hinclude / luci / IR / SparsityParam.h
    src / SparsifyTensorPass.cppinclude / luci / IR / CircleNodes.h
    src / SubstitutePackToReshapePass.cppinclude / luci / IR / CircleNodes.h
    src / SubstitutePadV2ToPadPass.cppinclude / luci / IR / CircleNodes.h
    src / SubstituteSplitVToSplitPass.cppinclude / luci / IR / CircleNodes.h
    src / SubstituteSqueezeToReshapePass.cppinclude / luci / IR / CircleNodes.h
    src / SubstituteStridedSliceToReshapePass.cppinclude / luci / IR / CircleNodes.h
    src / SubstituteTransposeToReshapePass.cppinclude / luci / IR / CircleNodes.h
    src / TransformMinMaxToRelu6Pass.cppinclude / luci / IR / CircleNodes.h
    src / TransformMinReluToRelu6Pass.cppinclude / luci / IR / CircleNodes.h
    src / UnrollUnidirectionalSequenceLSTMPass.cppinclude / luci / IR / CircleNodes.h
    src / VerifyQuantizedBiasScale.hinclude / luci / IR / CircleNodes.h
    src / VerifyQuantizedBiasScale.hinclude / luci / IR / CircleNodeVisitor.h
    src / VerifyQuantizedNodeGranularity.cppinclude / luci / IR / CircleNodes.h
    src / VerifyQuantizedNodeGranularity.hinclude / luci / IR / CircleNodes.h
    src / VerifyQuantizedNodeGranularity.hinclude / luci / IR / CircleNodeVisitor.h
    src / VerifyQuantizedNodeType.hinclude / luci / IR / CircleNodes.h
    src / VerifyQuantizedNodeType.hinclude / luci / IR / CircleNodeVisitor.h
    src / XpSepActFromTransposeConvPass.cppinclude / luci / IR / CircleNodes.h
    src / XpSepActFromTransposeConvPass.cppinclude / luci / IR / CircleNodeMixins.h
    -

    q-implant → arser Relation

    File in compiler/q-implantIncludes file in compiler/arser
    driver / Driver.cppinclude / arser / arser.h
    +

    q-implant → arser Relation

    File in compiler/q-implantIncludes file in compiler/arser
    driver / Driver.cppinclude / arser / arser.h
    -

    q-implant → luci Relation

    File in compiler/q-implantIncludes file in compiler/luci
    driver / Driver.cppexport / include / luci / CircleExporter.h
    driver / Driver.cppexport / include / luci / CircleFileExpContract.h
    driver / Driver.cpppass / include / luci / CircleQuantizer.h
    driver / Driver.cppimport / include / luci / ImporterEx.h
    driver / Driver.cppenv / include / luci / UserSettings.h
    driver / Driver.cppservice / include / luci / Service / Validate.h
    src / QImplant.cpplang / include / luci / IR / CircleNode.h
    +

    q-implant → luci Relation

    File in compiler/q-implantIncludes file in compiler/luci
    driver / Driver.cppexport / include / luci / CircleExporter.h
    driver / Driver.cppexport / include / luci / CircleFileExpContract.h
    driver / Driver.cpppass / include / luci / CircleQuantizer.h
    driver / Driver.cppimport / include / luci / ImporterEx.h
    driver / Driver.cppenv / include / luci / UserSettings.h
    driver / Driver.cppservice / include / luci / Service / Validate.h
    src / QImplant.cpplang / include / luci / IR / CircleNode.h
    -

    record-minmax → arser Relation

    File in compiler/record-minmaxIncludes file in compiler/arser
    driver / Driver.cppinclude / arser / arser.h
    +

    record-minmax → arser Relation

    File in compiler/record-minmaxIncludes file in compiler/arser
    driver / Driver.cppinclude / arser / arser.h
    +

    record-minmax → luci Relation

    File in compiler/record-minmaxIncludes file in compiler/luci
    driver / Driver.cpplog / include / luci / Log.h
    driver / Driver.cppenv / include / luci / UserSettings.h
    include / MinMaxComputer.hlang / include / luci / IR / CircleNode.h
    include / RecordMinMax.hlang / include / luci / IR / Module.h
    src / MinMaxComputer.cpplang / include / luci / IR / CircleQuantParam.h
    src / MinMaxObserver.cpplang / include / luci / IR / CircleOpcode.h
    src / RecordFunction.cpplang / include / luci / IR / CircleQuantParam.h
    src / RecordMinMax.cppimport / include / luci / Importer.h
    src / RecordMinMax.cppexport / include / luci / CircleExporter.h
    src / RecordMinMax.cppexport / include / luci / CircleFileExpContract.h
    src / RecordMinMax.cpplang / include / luci / IR / CircleQuantParam.h
    src / RecordMinMax.cpplog / include / luci / Log.h
    -

    record-minmax → vconone Relation

    File in compiler/record-minmaxIncludes file in compiler/vconone
    driver / Driver.cppinclude / vconone / vconone.h
    +

    record-minmax → vconone Relation

    File in compiler/record-minmaxIncludes file in compiler/vconone
    driver / Driver.cppinclude / vconone / vconone.h
    -

    reverse → arser Relation

    File in compiler/circlechef/tools/reverseIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    +

    reverse → arser Relation

    File in compiler/circlechef/tools/reverseIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    -

    reverse → circle Relation

    File in compiler/circlechef/tools/reverseIncludes file in compiler/circlechef/circle
    Driver.cppinclude / circlechef / RecipeChef.h
    +

    reverse → circle Relation

    File in compiler/circlechef/tools/reverseIncludes file in compiler/circlechef/circle
    Driver.cppinclude / circlechef / RecipeChef.h
    -

    reverse → foder Relation

    File in compiler/circlechef/tools/reverseIncludes file in compiler/foder
    Driver.cppinclude / foder / FileLoader.h
    +

    reverse → foder Relation

    File in compiler/circlechef/tools/reverseIncludes file in compiler/foder
    Driver.cppinclude / foder / FileLoader.h
    -

    reverse → arser Relation

    File in compiler/tflchef/tools/reverseIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    +

    reverse → arser Relation

    File in compiler/tflchef/tools/reverseIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    -

    reverse → foder Relation

    File in compiler/tflchef/tools/reverseIncludes file in compiler/foder
    Driver.cppinclude / foder / FileLoader.h
    +

    reverse → foder Relation

    File in compiler/tflchef/tools/reverseIncludes file in compiler/foder
    Driver.cppinclude / foder / FileLoader.h
    -

    reverse → tflite Relation

    File in compiler/tflchef/tools/reverseIncludes file in compiler/tflchef/tflite
    Driver.cppinclude / tflchef / RecipeChef.h
    +

    reverse → tflite Relation

    File in compiler/tflchef/tools/reverseIncludes file in compiler/tflchef/tflite
    Driver.cppinclude / tflchef / RecipeChef.h
    -

    src → ops Relation

    File in compiler/ann-ref/srcIncludes file in compiler/ann-ref/src/ops
    ops / Add.float.cppinternal / ActivationUtils.h
    ops / Add.float.cppinternal / Array.h
    ops / Add.float.cppinternal / Fused.h
    ops / Add.float.cppinternal / Matrix.h
    ops / Add.float.cppinternal / NDArray.h
    ops / AvgPool2D.cppinternal / Pooling.h
    ops / AvgPool2D.float.cppinternal / ActivationUtils.h
    ops / AvgPool2D.float.cppinternal / Array.h
    ops / AvgPool2D.float.cppinternal / FeatureMap.h
    ops / AvgPool2D.float.cppinternal / Fused.h
    ops / AvgPool2D.float.cppinternal / Matrix.h
    ops / Concatenation.float.cppinternal / Array.h
    ops / Concatenation.float.cppinternal / Fused.h
    ops / Concatenation.float.cppinternal / Matrix.h
    ops / Conv2D.cppinternal / Spatial.h
    ops / Conv2D.float.cppinternal / ActivationUtils.h
    ops / Conv2D.float.cppinternal / Array.h
    ops / Conv2D.float.cppinternal / Fused.h
    ops / Conv2D.float.cppinternal / GEMM.h
    ops / Conv2D.float.cppinternal / Matrix.h
    ops / Conv2D.float.cppinternal / Spatial.h
    ops / DepthwiseConv2D.cppinternal / Spatial.h
    ops / DepthwiseConv2D.float.cppinternal / ActivationUtils.h
    ops / DepthwiseConv2D.float.cppinternal / Array.h
    ops / DepthwiseConv2D.float.cppinternal / Fused.h
    ops / DepthwiseConv2D.float.cppinternal / Spatial.h
    ops / Div.float.cppinternal / ActivationUtils.h
    ops / Div.float.cppinternal / Array.h
    ops / Div.float.cppinternal / Fused.h
    ops / Div.float.cppinternal / Matrix.h
    ops / Div.float.cppinternal / NDArray.h
    Executor.cppAdd.float.h
    Executor.cppAdd.h
    Executor.cppAvgPool2D.float.h
    Executor.cppAvgPool2D.h
    Executor.cppConcatenation.float.h
    Executor.cppConcatenation.h
    Executor.cppConv2D.float.h
    Executor.cppConv2D.h
    Executor.cppDepthwiseConv2D.float.h
    Executor.cppDepthwiseConv2D.h
    Executor.cppDiv.float.h
    Executor.cppDiv.h
    Executor.cppFullyConnected.float.h
    Executor.cppFullyConnected.h
    Executor.cppMaxPool2D.float.h
    Executor.cppMaxPool2D.h
    Executor.cppMul.float.h
    Executor.cppMul.h
    Executor.cppPad.h
    Executor.cppReLU.float.h
    Executor.cppReLU.h
    Executor.cppReLU6.float.h
    Executor.cppReLU6.h
    Executor.cppReshape.h
    Executor.cppSoftmax.float.h
    Executor.cppSoftmax.h
    Executor.cppSub.float.h
    Executor.cppSub.h
    ops / FullyConnected.float.cppinternal / ActivationUtils.h
    ops / FullyConnected.float.cppinternal / Fused.h
    ops / FullyConnected.float.cppinternal / GEMM.h
    ops / FullyConnected.float.cppinternal / Matrix.h
    ops / MaxPool2D.cppinternal / Pooling.h
    ops / MaxPool2D.float.cppinternal / ActivationUtils.h
    ops / MaxPool2D.float.cppinternal / Array.h
    ops / MaxPool2D.float.cppinternal / FeatureMap.h
    ops / MaxPool2D.float.cppinternal / Fused.h
    ops / MaxPool2D.float.cppinternal / Matrix.h
    ops / Mul.float.cppinternal / ActivationUtils.h
    ops / Mul.float.cppinternal / Array.h
    ops / Mul.float.cppinternal / Fused.h
    ops / Mul.float.cppinternal / Matrix.h
    ops / Mul.float.cppinternal / NDArray.h
    ops / Pad.cppinternal / Dims.h
    ops / ReLU.cppinternal / Elementwise.h
    ops / ReLU6.cppinternal / Elementwise.h
    ops / Softmax.cppinternal / Elementwise.h
    ops / Softmax.float.cppinternal / Array.h
    ops / Softmax.float.cppinternal / Matrix.h
    ops / Sub.float.cppinternal / ActivationUtils.h
    ops / Sub.float.cppinternal / Array.h
    ops / Sub.float.cppinternal / Fused.h
    ops / Sub.float.cppinternal / Matrix.h
    ops / Sub.float.cppinternal / NDArray.h
    +

    src → ops Relation

    File in compiler/ann-ref/srcIncludes file in compiler/ann-ref/src/ops
    ops / Add.float.cppinternal / ActivationUtils.h
    ops / Add.float.cppinternal / Array.h
    ops / Add.float.cppinternal / Fused.h
    ops / Add.float.cppinternal / Matrix.h
    ops / Add.float.cppinternal / NDArray.h
    ops / AvgPool2D.cppinternal / Pooling.h
    ops / AvgPool2D.float.cppinternal / ActivationUtils.h
    ops / AvgPool2D.float.cppinternal / Array.h
    ops / AvgPool2D.float.cppinternal / FeatureMap.h
    ops / AvgPool2D.float.cppinternal / Fused.h
    ops / AvgPool2D.float.cppinternal / Matrix.h
    ops / Concatenation.float.cppinternal / Array.h
    ops / Concatenation.float.cppinternal / Fused.h
    ops / Concatenation.float.cppinternal / Matrix.h
    ops / Conv2D.cppinternal / Spatial.h
    ops / Conv2D.float.cppinternal / ActivationUtils.h
    ops / Conv2D.float.cppinternal / Array.h
    ops / Conv2D.float.cppinternal / Fused.h
    ops / Conv2D.float.cppinternal / GEMM.h
    ops / Conv2D.float.cppinternal / Matrix.h
    ops / Conv2D.float.cppinternal / Spatial.h
    ops / DepthwiseConv2D.cppinternal / Spatial.h
    ops / DepthwiseConv2D.float.cppinternal / ActivationUtils.h
    ops / DepthwiseConv2D.float.cppinternal / Array.h
    ops / DepthwiseConv2D.float.cppinternal / Fused.h
    ops / DepthwiseConv2D.float.cppinternal / Spatial.h
    ops / Div.float.cppinternal / ActivationUtils.h
    ops / Div.float.cppinternal / Array.h
    ops / Div.float.cppinternal / Fused.h
    ops / Div.float.cppinternal / Matrix.h
    ops / Div.float.cppinternal / NDArray.h
    Executor.cppAdd.float.h
    Executor.cppAdd.h
    Executor.cppAvgPool2D.float.h
    Executor.cppAvgPool2D.h
    Executor.cppConcatenation.float.h
    Executor.cppConcatenation.h
    Executor.cppConv2D.float.h
    Executor.cppConv2D.h
    Executor.cppDepthwiseConv2D.float.h
    Executor.cppDepthwiseConv2D.h
    Executor.cppDiv.float.h
    Executor.cppDiv.h
    Executor.cppFullyConnected.float.h
    Executor.cppFullyConnected.h
    Executor.cppMaxPool2D.float.h
    Executor.cppMaxPool2D.h
    Executor.cppMul.float.h
    Executor.cppMul.h
    Executor.cppPad.h
    Executor.cppReLU.float.h
    Executor.cppReLU.h
    Executor.cppReLU6.float.h
    Executor.cppReLU6.h
    Executor.cppReshape.h
    Executor.cppSoftmax.float.h
    Executor.cppSoftmax.h
    Executor.cppSub.float.h
    Executor.cppSub.h
    ops / FullyConnected.float.cppinternal / ActivationUtils.h
    ops / FullyConnected.float.cppinternal / Fused.h
    ops / FullyConnected.float.cppinternal / GEMM.h
    ops / FullyConnected.float.cppinternal / Matrix.h
    ops / MaxPool2D.cppinternal / Pooling.h
    ops / MaxPool2D.float.cppinternal / ActivationUtils.h
    ops / MaxPool2D.float.cppinternal / Array.h
    ops / MaxPool2D.float.cppinternal / FeatureMap.h
    ops / MaxPool2D.float.cppinternal / Fused.h
    ops / MaxPool2D.float.cppinternal / Matrix.h
    ops / Mul.float.cppinternal / ActivationUtils.h
    ops / Mul.float.cppinternal / Array.h
    ops / Mul.float.cppinternal / Fused.h
    ops / Mul.float.cppinternal / Matrix.h
    ops / Mul.float.cppinternal / NDArray.h
    ops / Pad.cppinternal / Dims.h
    ops / ReLU.cppinternal / Elementwise.h
    ops / ReLU6.cppinternal / Elementwise.h
    ops / Softmax.cppinternal / Elementwise.h
    ops / Softmax.float.cppinternal / Array.h
    ops / Softmax.float.cppinternal / Matrix.h
    ops / Sub.float.cppinternal / ActivationUtils.h
    ops / Sub.float.cppinternal / Array.h
    ops / Sub.float.cppinternal / Fused.h
    ops / Sub.float.cppinternal / Matrix.h
    ops / Sub.float.cppinternal / NDArray.h
    -

    src → cli Relation

    File in compiler/caffegen/srcIncludes file in compiler/cli
    DecodeCommand.hinclude / cli / Command.h
    Driver.cppinclude / cli / App.h
    EncodeCommand.hinclude / cli / Command.h
    InitCommand.hinclude / cli / Command.h
    MergeCommand.hinclude / cli / Command.h
    +

    src → cli Relation

    File in compiler/caffegen/srcIncludes file in compiler/cli
    DecodeCommand.hinclude / cli / Command.h
    Driver.cppinclude / cli / App.h
    EncodeCommand.hinclude / cli / Command.h
    InitCommand.hinclude / cli / Command.h
    MergeCommand.hinclude / cli / Command.h
    -

    src → luci Relation

    File in compiler/circle-part-driver/srcIncludes file in compiler/luci
    Driver.cpplog / include / luci / Log.h
    PModelsRunner.cpplang / include / luci / IR / Nodes / CircleInput.h
    PModelsRunner.cpplang / include / luci / IR / Nodes / CircleOutput.h
    PModelsRunner.cppimport / include / luci / Importer.h
    PModelsRunner.cpplog / include / luci / Log.h
    +

    src → luci Relation

    File in compiler/circle-part-driver/srcIncludes file in compiler/luci
    Driver.cpplog / include / luci / Log.h
    PModelsRunner.cpplang / include / luci / IR / Nodes / CircleInput.h
    PModelsRunner.cpplang / include / luci / IR / Nodes / CircleOutput.h
    PModelsRunner.cppimport / include / luci / Importer.h
    PModelsRunner.cpplog / include / luci / Log.h
    -

    src → arser Relation

    File in compiler/circle-verify/srcIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    +

    src → arser Relation

    File in compiler/circle-verify/srcIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    -

    src → souschef Relation

    File in compiler/circlechef/core/srcIncludes file in compiler/souschef
    ModelChef.cppinclude / souschef / DataChefs.h
    ModelChef.cppinclude / souschef / Dataset.h
    ModelChef.cppinclude / souschef / Dims.h
    ModelChef.cppinclude / souschef / RangedArguments.h
    ModelChef.cppinclude / souschef / Registry.h
    +

    src → souschef Relation

    File in compiler/circlechef/core/srcIncludes file in compiler/souschef
    ModelChef.cppinclude / souschef / DataChefs.h
    ModelChef.cppinclude / souschef / Dataset.h
    ModelChef.cppinclude / souschef / Dims.h
    ModelChef.cppinclude / souschef / RangedArguments.h
    ModelChef.cppinclude / souschef / Registry.h
    -

    src → pepper-assert Relation

    File in compiler/coco/core/srcIncludes file in compiler/pepper-assert
    IR / Conv2D.cppinclude / pepper / assert.h
    IR / Op.cppinclude / pepper / assert.h
    +

    src → pepper-assert Relation

    File in compiler/coco/core/srcIncludes file in compiler/pepper-assert
    IR / Conv2D.cppinclude / pepper / assert.h
    IR / Op.cppinclude / pepper / assert.h
    +

    src → luci Relation

    File in compiler/dalgona/srcIncludes file in compiler/luci
    Dalgona.cppimport / include / luci / Importer.h
    PostOperatorHook.hlang / include / luci / IR / CircleNodeVisitor.h
    PreOperatorHook.hlang / include / luci / IR / CircleNodeVisitor.h
    StringUtils.cpplang / include / luci / IR / CircleNodeDecl.h
    StringUtils.hlang / include / luci / IR / AttrFusedActFunc.h
    StringUtils.hlang / include / luci / IR / CircleOpcode.h
    Utils.cpplang / include / luci / IR / CircleNodeDecl.h
    Utils.cpplang / include / luci / IR / CircleOpcode.h
    -

    src → core Relation

    File in compiler/enco/cli/srcIncludes file in compiler/enco/core
    Driver.cppinclude / enco / Backend.h
    +

    src → core Relation

    File in compiler/enco/cli/srcIncludes file in compiler/enco/core
    Driver.cppinclude / enco / Backend.h
    -

    src → enco-intf Relation

    File in compiler/enco/cli/srcIncludes file in compiler/enco-intf
    Driver.cppfrontend / include / enco / Frontend.h
    Driver.cppcmdline / include / cmdline / View.h
    +

    src → enco-intf Relation

    File in compiler/enco/cli/srcIncludes file in compiler/enco-intf
    Driver.cppfrontend / include / enco / Frontend.h
    Driver.cppcmdline / include / cmdline / View.h
    +

    src → angkor Relation

    File in compiler/enco/core/srcIncludes file in compiler/angkor
    Dims.hinclude / nncc / core / ADT / tensor / Shape.h
    ANN / IR / Operand.hinclude / nncc / core / ADT / tensor / Shape.h
    ANN / IR / OperandInventory.hinclude / nncc / core / ADT / tensor / Shape.h
    Transforms / AvgPoolLowering.cppinclude / nncc / core / ADT / feature / Shape.h
    Transforms / AvgPoolLowering.cppinclude / nncc / core / ADT / feature / HWCLayout.h
    Transforms / ConcatLowering.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Transforms / DataLayoutConversion.cppinclude / nncc / core / ADT / feature / Layout.h
    Transforms / DataLayoutConversion.cppinclude / nncc / core / ADT / kernel / Layout.h
    Transforms / DataLayoutConversion.cppinclude / nncc / core / ADT / feature / HWCLayout.h
    Transforms / DataLayoutConversion.cppinclude / nncc / core / ADT / kernel / NHWCLayout.h
    Transforms / Split.cppinclude / nncc / core / ADT / kernel / NHWCLayout.h
    -

    src → enco Relation

    File in compiler/encodump/srcIncludes file in compiler/enco
    Driver.cppcore / include / enco / Backend.h
    +

    src → enco Relation

    File in compiler/encodump/srcIncludes file in compiler/enco
    Driver.cppcore / include / enco / Backend.h
    -

    src → enco-intf Relation

    File in compiler/encodump/srcIncludes file in compiler/enco-intf
    Driver.cppfrontend / include / enco / Frontend.h
    Driver.cppcmdline / include / cmdline / View.h
    +

    src → enco-intf Relation

    File in compiler/encodump/srcIncludes file in compiler/enco-intf
    Driver.cppfrontend / include / enco / Frontend.h
    Driver.cppcmdline / include / cmdline / View.h
    -

    src → luci Relation

    File in compiler/luci-interpreter/srcIncludes file in compiler/luci
    loader / nodes / AveragePool2D.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    loader / nodes / BatchMatMul.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    loader / nodes / Builders.hlang / include / luci / IR / CircleNodes.h
    import / Nodes / CircleReferencingConst.hlang / include / luci / IR / Nodes / CircleConst.h
    import / Nodes / CircleReferencingConst.himport / include / luci / Import / NodeBuilder.h
    loader / nodes / Conv2D.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    loader / nodes / DepthwiseConv2D.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    loader / GraphLoader.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    loader / KernelBuilder.cpplang / include / luci / IR / CircleNodeDecl.h
    loader / KernelBuilder.cpplang / include / luci / IR / CircleOpcode.h
    loader / KernelBuilder.hlang / include / luci / IR / CircleNodeVisitor.h
    loader / KernelBuilderHelper.cpplang / include / luci / IR / Nodes / CircleOutput.h
    core / KernelParams.hlang / include / luci / IR / AttrFusedActFunc.h
    core / KernelParams.hlang / include / luci / IR / AttrMirrorPadMode.h
    core / KernelParams.hlang / include / luci / IR / AttrPadding.h
    loader / ModuleLoader.hlang / include / luci / IR / Module.h
    loader / RuntimeToIR.hlang / include / luci / IR / CircleNode.h
    +

    src → luci Relation

    File in compiler/luci-interpreter/srcIncludes file in compiler/luci
    loader / nodes / AveragePool2D.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    loader / nodes / BatchMatMul.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    loader / nodes / Builders.hlang / include / luci / IR / CircleNodes.h
    import / Nodes / CircleReferencingConst.hlang / include / luci / IR / Nodes / CircleConst.h
    import / Nodes / CircleReferencingConst.himport / include / luci / Import / NodeBuilder.h
    loader / nodes / Conv2D.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    loader / nodes / DepthwiseConv2D.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    loader / GraphLoader.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    loader / KernelBuilder.cpplang / include / luci / IR / CircleNodeDecl.h
    loader / KernelBuilder.cpplang / include / luci / IR / CircleOpcode.h
    loader / KernelBuilder.hlang / include / luci / IR / CircleNodeVisitor.h
    loader / KernelBuilderHelper.cpplang / include / luci / IR / Nodes / CircleOutput.h
    core / KernelParams.hlang / include / luci / IR / AttrFusedActFunc.h
    core / KernelParams.hlang / include / luci / IR / AttrMirrorPadMode.h
    core / KernelParams.hlang / include / luci / IR / AttrPadding.h
    loader / ModuleLoader.hlang / include / luci / IR / Module.h
    loader / RuntimeToIR.hlang / include / luci / IR / CircleNode.h
    +

    src → lang Relation

    File in compiler/luci/partition/srcIncludes file in compiler/luci/lang
    CircleOpCode.cppinclude / luci / IR / CircleNodes.h
    CircleOpCode.cppinclude / luci / IR / CircleNodeVisitor.h
    CircleOpCode.hinclude / luci / IR / CircleNode.h
    PartitionCleanup.hinclude / luci / IR / Module.h
    PartitionIR.hinclude / luci / IR / CircleNodes.h
    PartitionPGroups.cppinclude / luci / IR / CircleNodes.h
    PartitionPGroups.cppinclude / luci / IR / CircleNodeVisitor.h
    PartitionPGroups.hinclude / luci / IR / Module.h
    -

    src → lang Relation

    File in compiler/luci/pass/srcIncludes file in compiler/luci/lang
    BatchNormPatternFinder.cppinclude / luci / IR / CircleNodes.h
    BatchNormPatternFinder.hinclude / luci / IR / CircleNodes.h
    CircleOptimizer.cppinclude / luci / IR / CircleNodes.h
    CircleQuantizer.cppinclude / luci / IR / CircleNode.h
    CommonSubExpressionEliminationPass.cppinclude / luci / IR / CircleNodes.h
    helpers / Compute.hinclude / luci / IR / CircleNodes.h
    ConvertNCHWToNHWCPass.cppinclude / luci / IR / CircleNodes.h
    ConvertNCHWToNHWCPass.cppinclude / luci / IR / CircleNodeVisitor.h
    ConvertToFakeQuantizedModelPass.cppinclude / luci / IR / CircleNodes.h
    ConvertToFakeQuantizedModelPass.cppinclude / luci / IR / CircleNodeVisitor.h
    CopyQuantParamPass.cppinclude / luci / IR / CircleNodes.h
    helpers / CreateCircleConst.hinclude / luci / IR / CircleNodes.h
    DecomposeHardSwishPass.cppinclude / luci / IR / CircleNodes.h
    DecomposeSoftmaxPass.cppinclude / luci / IR / CircleNodes.h
    DynamicBatchToSingleBatchPass.cppinclude / luci / IR / CircleNode.h
    ExpandBroadcastConstPass.cppinclude / luci / IR / CircleNodes.h
    helpers / ExpressionCache.hinclude / luci / IR / CircleNodes.h
    FoldAddV2Pass.cppinclude / luci / IR / CircleNodes.h
    FoldCastPass.cppinclude / luci / IR / CircleNodes.h
    FoldDensifyPass.cppinclude / luci / IR / CircleNodes.h
    FoldDepthwiseConv2DPass.cppinclude / luci / IR / AttrFusedActFunc.h
    FoldDepthwiseConv2DPass.cppinclude / luci / IR / CircleNodes.h
    FoldDequantizePass.cppinclude / luci / IR / CircleNodes.h
    FoldFullyConnectedPass.cppinclude / luci / IR / AttrFusedActFunc.h
    FoldFullyConnectedPass.cppinclude / luci / IR / CircleNodes.h
    FoldGatherPass.cppinclude / luci / IR / CircleNodes.h
    FoldShapePass.cppinclude / luci / IR / CircleNodes.h
    FoldSparseToDensePass.cppinclude / luci / IR / CircleNodes.h
    ForceQuantParamPass.cppinclude / luci / IR / CircleNodes.h
    ForwardReshapeToUnaryOpPass.cppinclude / luci / IR / CircleNodes.h
    ForwardReshapeToUnaryOpPass.cppinclude / luci / IR / CircleNodeVisitor.h
    ForwardTransposeOpPass.cppinclude / luci / IR / CircleNodes.h
    ForwardTransposeOpPass.cppinclude / luci / IR / CircleNodeVisitor.h
    FuseActivationFunctionPass.cppinclude / luci / IR / CircleNodeMixins.h
    FuseActivationFunctionPass.cppinclude / luci / IR / CircleNodes.h
    FuseActivationFunctionPass.cppinclude / luci / IR / CircleOpcode.h
    FuseAddWithFullyConnectedPass.cppinclude / luci / IR / CircleNodes.h
    FuseAddWithTConvPass.cppinclude / luci / IR / CircleNodes.h
    FuseBatchNormWithConvPass.cppinclude / luci / IR / CircleNodes.h
    FuseBatchNormWithDwConvPass.cppinclude / luci / IR / CircleNodes.h
    FuseBatchNormWithTConvPass.cppinclude / luci / IR / CircleNodes.h
    FuseBCQPass.cppinclude / luci / IR / CircleNodes.h
    FuseGeluPass.cppinclude / luci / IR / CircleNodes.h
    FuseHorizontalFullyConnectedPass.cppinclude / luci / IR / CircleNodes.h
    FuseInstanceNormPass.cppinclude / luci / IR / CircleNodes.h
    FuseInstanceNormPassInternal.hinclude / luci / IR / CircleNodes.h
    FuseMeanWithMeanPass.cppinclude / luci / IR / CircleNode.h
    FuseMulWithConvPass.cppinclude / luci / IR / CircleNodes.h
    FuseMulWithDivPass.cppinclude / luci / IR / CircleNodes.h
    FusePreActivationBatchNormPass.cppinclude / luci / IR / CircleNodes.h
    FusePreActivationBatchNormPassInternal.hinclude / luci / IR / CircleNodes.h
    FusePReluPass.cppinclude / luci / IR / CircleNodes.h
    FuseSliceWithTConvPass.cppinclude / luci / IR / CircleNodes.h
    FuseTransposeWithMeanPass.cppinclude / luci / IR / CircleNode.h
    helpers / InferenceCandidates.cppinclude / luci / IR / DeadNodeQueryService.h
    helpers / LayerInfoMap.cppinclude / luci / IR / CircleNode.h
    MakeBatchNormGammaPositivePass.cppinclude / luci / IR / CircleNodes.h
    PassTestGraphs.hinclude / luci / IR / CircleNodes.h
    ProgressReporter.hinclude / luci / IR / Module.h
    PropagateQParamBackwardPass.cppinclude / luci / IR / CircleNodes.h
    PropagateQParamBackwardPass.cppinclude / luci / IR / CircleNodeVisitor.h
    PropagateQParamForwardPass.cppinclude / luci / IR / CircleNodes.h
    PropagateQParamForwardPass.cppinclude / luci / IR / CircleNodeVisitor.h
    QuantizationUtils.hinclude / luci / IR / CircleNodes.h
    QuantizeActivation.hinclude / luci / IR / CircleNodeVisitor.h
    QuantizeBias.hinclude / luci / IR / CircleNodeVisitor.h
    QuantizeDequantizeWeightsPass.cppinclude / luci / IR / CircleNodes.h
    QuantizeDequantizeWeightsPass.cppinclude / luci / IR / CircleNodeVisitor.h
    QuantizedModelVerifier.cppinclude / luci / IR / CircleNodes.h
    QuantizedModelVerifier.cppinclude / luci / IR / CircleNodeVisitor.h
    QuantizePreCheckerPass.cppinclude / luci / IR / CircleNodes.h
    QuantizePreCheckerPass.cppinclude / luci / IR / CircleNodeVisitor.h
    QuantizeWeights.hinclude / luci / IR / CircleNodeVisitor.h
    QuantizeWeightsOnly.hinclude / luci / IR / CircleNodeVisitor.h
    QuantizeWithMinMaxPass.cppinclude / luci / IR / CircleNodes.h
    QuantizeWithMinMaxPass.cppinclude / luci / IR / CircleNodeVisitor.h
    RemoveFakeQuantPass.cppinclude / luci / IR / CircleNodes.h
    RemoveQuantDequantSeqPass.cppinclude / luci / IR / CircleNodes.h
    RemoveRedundantDequantizePass.cppinclude / luci / IR / CircleNodes.h
    RemoveRedundantQuantizePass.cppinclude / luci / IR / CircleNode.h
    RemoveRedundantReshape.cppinclude / luci / IR / CircleNodes.h
    RemoveRedundantTransposePass.cppinclude / luci / IR / CircleNodes.h
    RemoveUnnecessaryAddPass.cppinclude / luci / IR / CircleNodes.h
    RemoveUnnecessaryReshapeNetPass.cppinclude / luci / IR / CircleNodes.h
    RemoveUnnecessaryReshapePass.cppinclude / luci / IR / CircleNodes.h
    RemoveUnnecessarySlicePass.cppinclude / luci / IR / CircleNodes.h
    RemoveUnnecessarySplitPass.cppinclude / luci / IR / CircleNodes.h
    RemoveUnnecessaryStridedSlicePass.cppinclude / luci / IR / CircleNodes.h
    RemoveUnnecessaryTransposeNetPass.cppinclude / luci / IR / CircleNodes.h
    ReplaceMulAddWithDepthwiseConvPass.cppinclude / luci / IR / CircleNodes.h
    ReplaceNonConstFCWithBatchMatMulPass.cppinclude / luci / IR / CircleNodes.h
    ReplaceSubWithAddPass.cppinclude / luci / IR / CircleNodes.h
    ReplaceWithFCGeluFCPass.cppinclude / luci / IR / CircleNodes.h
    RequantizePass.cppinclude / luci / IR / CircleNodes.h
    RequantizePass.cppinclude / luci / IR / CircleNodeVisitor.h
    ResolveCustomOpAddPass.cppinclude / luci / IR / AttrFusedActFunc.h
    ResolveCustomOpAddPass.cppinclude / luci / IR / CircleNodes.h
    ResolveCustomOpBatchMatMulPass.cppinclude / luci / IR / CircleNodes.h
    ResolveCustomOpMatMulPass.cppinclude / luci / IR / CircleNodes.h
    ResolveCustomOpMaxPoolWithArgmaxPass.cppinclude / luci / IR / CircleNodes.h
    ResolveCustomOpSplitVPass.cppinclude / luci / IR / CircleNodes.h
    ResolveFormerCustomOpPass.cppinclude / luci / IR / AttrFusedActFunc.h
    ResolveFormerCustomOpPass.cppinclude / luci / IR / CircleNodes.h
    helpers / Shape.hinclude / luci / IR / CircleNodes.h
    ShuffleWeightTo16x1Float32Pass.cppinclude / luci / IR / CircleNodes.h
    Sparsifier.hinclude / luci / IR / SparsityParam.h
    SparsifyTensorPass.cppinclude / luci / IR / CircleNodes.h
    helpers / SparsityFormatConverter.cppinclude / luci / IR / SparsityParam.h
    helpers / SparsityFormatConverter.hinclude / luci / IR / SparsityParam.h
    SubstitutePackToReshapePass.cppinclude / luci / IR / CircleNodes.h
    SubstitutePadV2ToPadPass.cppinclude / luci / IR / CircleNodes.h
    SubstituteSplitVToSplitPass.cppinclude / luci / IR / CircleNodes.h
    SubstituteSqueezeToReshapePass.cppinclude / luci / IR / CircleNodes.h
    SubstituteStridedSliceToReshapePass.cppinclude / luci / IR / CircleNodes.h
    SubstituteTransposeToReshapePass.cppinclude / luci / IR / CircleNodes.h
    TransformMinMaxToRelu6Pass.cppinclude / luci / IR / CircleNodes.h
    TransformMinReluToRelu6Pass.cppinclude / luci / IR / CircleNodes.h
    UnrollUnidirectionalSequenceLSTMPass.cppinclude / luci / IR / CircleNodes.h
    VerifyQuantizedBiasScale.hinclude / luci / IR / CircleNodes.h
    VerifyQuantizedBiasScale.hinclude / luci / IR / CircleNodeVisitor.h
    VerifyQuantizedNodeGranularity.cppinclude / luci / IR / CircleNodes.h
    VerifyQuantizedNodeGranularity.hinclude / luci / IR / CircleNodes.h
    VerifyQuantizedNodeGranularity.hinclude / luci / IR / CircleNodeVisitor.h
    VerifyQuantizedNodeType.hinclude / luci / IR / CircleNodes.h
    VerifyQuantizedNodeType.hinclude / luci / IR / CircleNodeVisitor.h
    XpSepActFromTransposeConvPass.cppinclude / luci / IR / CircleNodeMixins.h
    XpSepActFromTransposeConvPass.cppinclude / luci / IR / CircleNodes.h
    +

    src → lang Relation

    File in compiler/luci/pass/srcIncludes file in compiler/luci/lang
    BatchNormPatternFinder.cppinclude / luci / IR / CircleNodes.h
    BatchNormPatternFinder.hinclude / luci / IR / CircleNodes.h
    CircleOptimizer.cppinclude / luci / IR / CircleNodes.h
    CircleQuantizer.cppinclude / luci / IR / CircleNode.h
    CommonSubExpressionEliminationPass.cppinclude / luci / IR / CircleNodes.h
    helpers / Compute.hinclude / luci / IR / CircleNodes.h
    ConvertNCHWToNHWCPass.cppinclude / luci / IR / CircleNodes.h
    ConvertNCHWToNHWCPass.cppinclude / luci / IR / CircleNodeVisitor.h
    ConvertToFakeQuantizedModelPass.cppinclude / luci / IR / CircleNodes.h
    ConvertToFakeQuantizedModelPass.cppinclude / luci / IR / CircleNodeVisitor.h
    CopyQuantParamPass.cppinclude / luci / IR / CircleNodes.h
    helpers / CreateCircleConst.hinclude / luci / IR / CircleNodes.h
    DecomposeHardSwishPass.cppinclude / luci / IR / CircleNodes.h
    DecomposeSoftmaxPass.cppinclude / luci / IR / CircleNodes.h
    DynamicBatchToSingleBatchPass.cppinclude / luci / IR / CircleNode.h
    ExpandBroadcastConstPass.cppinclude / luci / IR / CircleNodes.h
    helpers / ExpressionCache.hinclude / luci / IR / CircleNodes.h
    FoldAddV2Pass.cppinclude / luci / IR / CircleNodes.h
    FoldCastPass.cppinclude / luci / IR / CircleNodes.h
    FoldDensifyPass.cppinclude / luci / IR / CircleNodes.h
    FoldDepthwiseConv2DPass.cppinclude / luci / IR / AttrFusedActFunc.h
    FoldDepthwiseConv2DPass.cppinclude / luci / IR / CircleNodes.h
    FoldDequantizePass.cppinclude / luci / IR / CircleNodes.h
    FoldFullyConnectedPass.cppinclude / luci / IR / AttrFusedActFunc.h
    FoldFullyConnectedPass.cppinclude / luci / IR / CircleNodes.h
    FoldGatherPass.cppinclude / luci / IR / CircleNodes.h
    FoldShapePass.cppinclude / luci / IR / CircleNodes.h
    FoldSparseToDensePass.cppinclude / luci / IR / CircleNodes.h
    ForceQuantParamPass.cppinclude / luci / IR / CircleNodes.h
    ForwardReshapeToUnaryOpPass.cppinclude / luci / IR / CircleNodes.h
    ForwardReshapeToUnaryOpPass.cppinclude / luci / IR / CircleNodeVisitor.h
    ForwardTransposeOpPass.cppinclude / luci / IR / CircleNodes.h
    ForwardTransposeOpPass.cppinclude / luci / IR / CircleNodeVisitor.h
    FuseActivationFunctionPass.cppinclude / luci / IR / CircleNodeMixins.h
    FuseActivationFunctionPass.cppinclude / luci / IR / CircleNodes.h
    FuseActivationFunctionPass.cppinclude / luci / IR / CircleOpcode.h
    FuseAddWithFullyConnectedPass.cppinclude / luci / IR / CircleNodes.h
    FuseAddWithTConvPass.cppinclude / luci / IR / CircleNodes.h
    FuseBatchNormWithConvPass.cppinclude / luci / IR / CircleNodes.h
    FuseBatchNormWithDwConvPass.cppinclude / luci / IR / CircleNodes.h
    FuseBatchNormWithTConvPass.cppinclude / luci / IR / CircleNodes.h
    FuseBCQPass.cppinclude / luci / IR / CircleNodes.h
    FuseGeluPass.cppinclude / luci / IR / CircleNodes.h
    FuseHorizontalFullyConnectedPass.cppinclude / luci / IR / CircleNodes.h
    FuseInstanceNormPass.cppinclude / luci / IR / CircleNodes.h
    FuseInstanceNormPassInternal.hinclude / luci / IR / CircleNodes.h
    FuseMeanWithMeanPass.cppinclude / luci / IR / CircleNode.h
    FuseMulWithConvPass.cppinclude / luci / IR / CircleNodes.h
    FuseMulWithDivPass.cppinclude / luci / IR / CircleNodes.h
    FusePreActivationBatchNormPass.cppinclude / luci / IR / CircleNodes.h
    FusePreActivationBatchNormPassInternal.hinclude / luci / IR / CircleNodes.h
    FusePReluPass.cppinclude / luci / IR / CircleNodes.h
    FuseSliceWithTConvPass.cppinclude / luci / IR / CircleNodes.h
    FuseTransposeWithMeanPass.cppinclude / luci / IR / CircleNode.h
    helpers / InferenceCandidates.cppinclude / luci / IR / DeadNodeQueryService.h
    helpers / LayerInfoMap.cppinclude / luci / IR / CircleNode.h
    MakeBatchNormGammaPositivePass.cppinclude / luci / IR / CircleNodes.h
    PassTestGraphs.hinclude / luci / IR / CircleNodes.h
    ProgressReporter.hinclude / luci / IR / Module.h
    PropagateQParamBackwardPass.cppinclude / luci / IR / CircleNodes.h
    PropagateQParamBackwardPass.cppinclude / luci / IR / CircleNodeVisitor.h
    PropagateQParamForwardPass.cppinclude / luci / IR / CircleNodes.h
    PropagateQParamForwardPass.cppinclude / luci / IR / CircleNodeVisitor.h
    QuantizationUtils.hinclude / luci / IR / CircleNodes.h
    QuantizeActivation.hinclude / luci / IR / CircleNodeVisitor.h
    QuantizeBias.hinclude / luci / IR / CircleNodeVisitor.h
    QuantizeDequantizeWeightsPass.cppinclude / luci / IR / CircleNodes.h
    QuantizeDequantizeWeightsPass.cppinclude / luci / IR / CircleNodeVisitor.h
    QuantizedModelVerifier.cppinclude / luci / IR / CircleNodes.h
    QuantizedModelVerifier.cppinclude / luci / IR / CircleNodeVisitor.h
    QuantizePreCheckerPass.cppinclude / luci / IR / CircleNodes.h
    QuantizePreCheckerPass.cppinclude / luci / IR / CircleNodeVisitor.h
    QuantizeWeights.hinclude / luci / IR / CircleNodeVisitor.h
    QuantizeWeightsOnly.hinclude / luci / IR / CircleNodeVisitor.h
    QuantizeWithMinMaxPass.cppinclude / luci / IR / CircleNodes.h
    QuantizeWithMinMaxPass.cppinclude / luci / IR / CircleNodeVisitor.h
    RemoveFakeQuantPass.cppinclude / luci / IR / CircleNodes.h
    RemoveQuantDequantSeqPass.cppinclude / luci / IR / CircleNodes.h
    RemoveRedundantDequantizePass.cppinclude / luci / IR / CircleNodes.h
    RemoveRedundantQuantizePass.cppinclude / luci / IR / CircleNode.h
    RemoveRedundantReshape.cppinclude / luci / IR / CircleNodes.h
    RemoveRedundantTransposePass.cppinclude / luci / IR / CircleNodes.h
    RemoveUnnecessaryAddPass.cppinclude / luci / IR / CircleNodes.h
    RemoveUnnecessaryReshapeNetPass.cppinclude / luci / IR / CircleNodes.h
    RemoveUnnecessaryReshapePass.cppinclude / luci / IR / CircleNodes.h
    RemoveUnnecessarySlicePass.cppinclude / luci / IR / CircleNodes.h
    RemoveUnnecessarySplitPass.cppinclude / luci / IR / CircleNodes.h
    RemoveUnnecessaryStridedSlicePass.cppinclude / luci / IR / CircleNodes.h
    RemoveUnnecessaryTransposeNetPass.cppinclude / luci / IR / CircleNodes.h
    ReplaceMulAddWithDepthwiseConvPass.cppinclude / luci / IR / CircleNodes.h
    ReplaceNonConstFCWithBatchMatMulPass.cppinclude / luci / IR / CircleNodes.h
    ReplaceSubWithAddPass.cppinclude / luci / IR / CircleNodes.h
    ReplaceWithFCGeluFCPass.cppinclude / luci / IR / CircleNodes.h
    RequantizePass.cppinclude / luci / IR / CircleNodes.h
    RequantizePass.cppinclude / luci / IR / CircleNodeVisitor.h
    ResolveCustomOpAddPass.cppinclude / luci / IR / AttrFusedActFunc.h
    ResolveCustomOpAddPass.cppinclude / luci / IR / CircleNodes.h
    ResolveCustomOpBatchMatMulPass.cppinclude / luci / IR / CircleNodes.h
    ResolveCustomOpMatMulPass.cppinclude / luci / IR / CircleNodes.h
    ResolveCustomOpMaxPoolWithArgmaxPass.cppinclude / luci / IR / CircleNodes.h
    ResolveCustomOpSplitVPass.cppinclude / luci / IR / CircleNodes.h
    ResolveFormerCustomOpPass.cppinclude / luci / IR / AttrFusedActFunc.h
    ResolveFormerCustomOpPass.cppinclude / luci / IR / CircleNodes.h
    helpers / Shape.hinclude / luci / IR / CircleNodes.h
    ShuffleWeightTo16x1Float32Pass.cppinclude / luci / IR / CircleNodes.h
    Sparsifier.hinclude / luci / IR / SparsityParam.h
    SparsifyTensorPass.cppinclude / luci / IR / CircleNodes.h
    helpers / SparsityFormatConverter.cppinclude / luci / IR / SparsityParam.h
    helpers / SparsityFormatConverter.hinclude / luci / IR / SparsityParam.h
    SubstitutePackToReshapePass.cppinclude / luci / IR / CircleNodes.h
    SubstitutePadV2ToPadPass.cppinclude / luci / IR / CircleNodes.h
    SubstituteSplitVToSplitPass.cppinclude / luci / IR / CircleNodes.h
    SubstituteSqueezeToReshapePass.cppinclude / luci / IR / CircleNodes.h
    SubstituteStridedSliceToReshapePass.cppinclude / luci / IR / CircleNodes.h
    SubstituteTransposeToReshapePass.cppinclude / luci / IR / CircleNodes.h
    TransformMinMaxToRelu6Pass.cppinclude / luci / IR / CircleNodes.h
    TransformMinReluToRelu6Pass.cppinclude / luci / IR / CircleNodes.h
    UnrollUnidirectionalSequenceLSTMPass.cppinclude / luci / IR / CircleNodes.h
    VerifyQuantizedBiasScale.hinclude / luci / IR / CircleNodes.h
    VerifyQuantizedBiasScale.hinclude / luci / IR / CircleNodeVisitor.h
    VerifyQuantizedNodeGranularity.cppinclude / luci / IR / CircleNodes.h
    VerifyQuantizedNodeGranularity.hinclude / luci / IR / CircleNodes.h
    VerifyQuantizedNodeGranularity.hinclude / luci / IR / CircleNodeVisitor.h
    VerifyQuantizedNodeType.hinclude / luci / IR / CircleNodes.h
    VerifyQuantizedNodeType.hinclude / luci / IR / CircleNodeVisitor.h
    XpSepActFromTransposeConvPass.cppinclude / luci / IR / CircleNodeMixins.h
    XpSepActFromTransposeConvPass.cppinclude / luci / IR / CircleNodes.h
    -

    src → arser Relation

    File in compiler/minmax-embedder-value-test/gen/srcIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    +

    src → arser Relation

    File in compiler/minmax-embedder-value-test/gen/srcIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    -

    src → mir Relation

    File in compiler/mir-interpreter/srcIncludes file in compiler/mir
    ops / Abs.cppinclude / mir / ShapeRange.h
    ops / Abs.cppinclude / mir / Tensor.h
    ops / Abs.hinclude / mir / TensorVariant.h
    ops / Add.cppinclude / mir / ShapeRange.h
    ops / Add.cppinclude / mir / Tensor.h
    ops / Add.hinclude / mir / TensorVariant.h
    ops / AvgPool2D.cppinclude / mir / ShapeRange.h
    ops / AvgPool2D.cppinclude / mir / Tensor.h
    ops / AvgPool2D.hinclude / mir / ops / AvgPool2DOp.h
    ops / AvgPool2D.hinclude / mir / TensorVariant.h
    ops / CappedReLU.cppinclude / mir / ShapeRange.h
    ops / CappedReLU.cppinclude / mir / Tensor.h
    ops / CappedReLU.hinclude / mir / TensorVariant.h
    ops / Common.hinclude / mir / DataType.h
    ops / Common.hinclude / mir / Index.h
    ops / Common.hinclude / mir / Shape.h
    ops / Common.hinclude / mir / Tensor.h
    ops / Common.hinclude / mir / TensorVariant.h
    ops / Concat.hinclude / mir / TensorVariant.h
    ops / Conv2D.cppinclude / mir / Tensor.h
    ops / Conv2D.hinclude / mir / ops / Conv2DOp.h
    ops / Conv2D.hinclude / mir / TensorVariant.h
    ops / DeConv2D.cppinclude / mir / TensorUtil.h
    ops / DeConv2D.hinclude / mir / Attributes.h
    ops / DeConv2D.hinclude / mir / TensorVariant.h
    ops / DepthwiseConv2D.cppinclude / mir / ShapeRange.h
    ops / DepthwiseConv2D.cppinclude / mir / Tensor.h
    ops / DepthwiseConv2D.hinclude / mir / ops / DepthwiseConv2DOp.h
    ops / DepthwiseConv2D.hinclude / mir / TensorVariant.h
    ops / Div.cppinclude / mir / ShapeRange.h
    ops / Div.cppinclude / mir / Tensor.h
    ops / Div.hinclude / mir / TensorVariant.h
    ops / ELU.cppinclude / mir / ShapeRange.h
    ops / ELU.cppinclude / mir / Tensor.h
    ops / ELU.hinclude / mir / TensorVariant.h
    ops / Equal.cppinclude / mir / ShapeRange.h
    ops / Equal.cppinclude / mir / Tensor.h
    ops / Equal.hinclude / mir / TensorVariant.h
    ops / Fill.hinclude / mir / ShapeRange.h
    ops / Fill.hinclude / mir / Tensor.h
    ops / FullyConnected.cppinclude / mir / Tensor.h
    ops / FullyConnected.hinclude / mir / ops / FullyConnectedOp.h
    ops / FullyConnected.hinclude / mir / ShapeRange.h
    ops / Gather.cppinclude / mir / Tensor.h
    ops / Gather.hinclude / mir / ops / GatherOp.h
    ops / Gather.hinclude / mir / TensorVariant.h
    ops / Greater.cppinclude / mir / ShapeRange.h
    ops / Greater.cppinclude / mir / Tensor.h
    ops / Greater.hinclude / mir / TensorVariant.h
    ops / HardSwish.hinclude / mir / TensorVariant.h
    ops / LeakyReLU.cppinclude / mir / ShapeRange.h
    ops / LeakyReLU.cppinclude / mir / Tensor.h
    ops / LeakyReLU.hinclude / mir / TensorVariant.h
    ops / Less.cppinclude / mir / ShapeRange.h
    ops / Less.cppinclude / mir / Tensor.h
    ops / Less.hinclude / mir / TensorVariant.h
    ops / Max.cppinclude / mir / ShapeRange.h
    ops / Max.cppinclude / mir / Tensor.h
    ops / Max.hinclude / mir / TensorVariant.h
    ops / MaxPool2D.cppinclude / mir / ShapeRange.h
    ops / MaxPool2D.cppinclude / mir / Tensor.h
    ops / MaxPool2D.hinclude / mir / ops / MaxPool2DOp.h
    ops / MaxPool2D.hinclude / mir / TensorVariant.h
    MirInterpreter.cppinclude / mir / OpDefs.h
    ops / Mul.cppinclude / mir / ShapeRange.h
    ops / Mul.cppinclude / mir / Tensor.h
    ops / Mul.hinclude / mir / TensorVariant.h
    ops / Pad.cppinclude / mir / ShapeRange.h
    ops / Pad.cppinclude / mir / Tensor.h
    ops / Pad.hinclude / mir / ops / PadOp.h
    ops / Pad.hinclude / mir / TensorVariant.h
    ops / Quantization.cppinclude / mir / ShapeRange.h
    ops / Quantization.cppinclude / mir / Tensor.h
    ops / Quantization.hinclude / mir / TensorVariant.h
    ops / ReduceMean.cppinclude / mir / ops / ReduceMeanOp.h
    ops / ReduceMean.cppinclude / mir / ShapeRange.h
    ops / ReduceMean.cppinclude / mir / Tensor.h
    ops / ReduceMean.hinclude / mir / ops / ReduceMeanOp.h
    ops / ReLU.cppinclude / mir / ShapeRange.h
    ops / ReLU.cppinclude / mir / Tensor.h
    ops / ReLU.hinclude / mir / TensorVariant.h
    ops / Reshape.cppinclude / mir / ShapeRange.h
    ops / Reshape.hinclude / mir / TensorVariant.h
    ops / Sigmoid.cppinclude / mir / ShapeRange.h
    ops / Sigmoid.cppinclude / mir / Tensor.h
    ops / Sigmoid.hinclude / mir / TensorVariant.h
    ops / Slice.cppinclude / mir / ShapeRange.h
    ops / Slice.cppinclude / mir / Tensor.h
    ops / Slice.hinclude / mir / TensorVariant.h
    ops / Softmax.cppinclude / mir / ShapeRange.h
    ops / Softmax.cppinclude / mir / Tensor.h
    ops / Softmax.hinclude / mir / TensorVariant.h
    ops / Sqrt.cppinclude / mir / ShapeRange.h
    ops / Sqrt.cppinclude / mir / Tensor.h
    ops / Sqrt.hinclude / mir / TensorVariant.h
    ops / Sub.cppinclude / mir / ShapeRange.h
    ops / Sub.cppinclude / mir / Tensor.h
    ops / Sub.hinclude / mir / TensorVariant.h
    ops / Tanh.cppinclude / mir / ShapeRange.h
    ops / Tanh.cppinclude / mir / Tensor.h
    ops / Tanh.hinclude / mir / TensorVariant.h
    ops / Transpose.cppinclude / mir / ShapeRange.h
    ops / Transpose.cppinclude / mir / Tensor.h
    ops / Transpose.hinclude / mir / TensorVariant.h
    ops / Transpose.hinclude / mir / ops / TransposeOp.h
    +

    src → mir Relation

    File in compiler/mir-interpreter/srcIncludes file in compiler/mir
    ops / Abs.cppinclude / mir / ShapeRange.h
    ops / Abs.cppinclude / mir / Tensor.h
    ops / Abs.hinclude / mir / TensorVariant.h
    ops / Add.cppinclude / mir / ShapeRange.h
    ops / Add.cppinclude / mir / Tensor.h
    ops / Add.hinclude / mir / TensorVariant.h
    ops / AvgPool2D.cppinclude / mir / ShapeRange.h
    ops / AvgPool2D.cppinclude / mir / Tensor.h
    ops / AvgPool2D.hinclude / mir / ops / AvgPool2DOp.h
    ops / AvgPool2D.hinclude / mir / TensorVariant.h
    ops / CappedReLU.cppinclude / mir / ShapeRange.h
    ops / CappedReLU.cppinclude / mir / Tensor.h
    ops / CappedReLU.hinclude / mir / TensorVariant.h
    ops / Common.hinclude / mir / DataType.h
    ops / Common.hinclude / mir / Index.h
    ops / Common.hinclude / mir / Shape.h
    ops / Common.hinclude / mir / Tensor.h
    ops / Common.hinclude / mir / TensorVariant.h
    ops / Concat.hinclude / mir / TensorVariant.h
    ops / Conv2D.cppinclude / mir / Tensor.h
    ops / Conv2D.hinclude / mir / ops / Conv2DOp.h
    ops / Conv2D.hinclude / mir / TensorVariant.h
    ops / DeConv2D.cppinclude / mir / TensorUtil.h
    ops / DeConv2D.hinclude / mir / Attributes.h
    ops / DeConv2D.hinclude / mir / TensorVariant.h
    ops / DepthwiseConv2D.cppinclude / mir / ShapeRange.h
    ops / DepthwiseConv2D.cppinclude / mir / Tensor.h
    ops / DepthwiseConv2D.hinclude / mir / ops / DepthwiseConv2DOp.h
    ops / DepthwiseConv2D.hinclude / mir / TensorVariant.h
    ops / Div.cppinclude / mir / ShapeRange.h
    ops / Div.cppinclude / mir / Tensor.h
    ops / Div.hinclude / mir / TensorVariant.h
    ops / ELU.cppinclude / mir / ShapeRange.h
    ops / ELU.cppinclude / mir / Tensor.h
    ops / ELU.hinclude / mir / TensorVariant.h
    ops / Equal.cppinclude / mir / ShapeRange.h
    ops / Equal.cppinclude / mir / Tensor.h
    ops / Equal.hinclude / mir / TensorVariant.h
    ops / Fill.hinclude / mir / ShapeRange.h
    ops / Fill.hinclude / mir / Tensor.h
    ops / FullyConnected.cppinclude / mir / Tensor.h
    ops / FullyConnected.hinclude / mir / ops / FullyConnectedOp.h
    ops / FullyConnected.hinclude / mir / ShapeRange.h
    ops / Gather.cppinclude / mir / Tensor.h
    ops / Gather.hinclude / mir / ops / GatherOp.h
    ops / Gather.hinclude / mir / TensorVariant.h
    ops / Greater.cppinclude / mir / ShapeRange.h
    ops / Greater.cppinclude / mir / Tensor.h
    ops / Greater.hinclude / mir / TensorVariant.h
    ops / HardSwish.hinclude / mir / TensorVariant.h
    ops / LeakyReLU.cppinclude / mir / ShapeRange.h
    ops / LeakyReLU.cppinclude / mir / Tensor.h
    ops / LeakyReLU.hinclude / mir / TensorVariant.h
    ops / Less.cppinclude / mir / ShapeRange.h
    ops / Less.cppinclude / mir / Tensor.h
    ops / Less.hinclude / mir / TensorVariant.h
    ops / Max.cppinclude / mir / ShapeRange.h
    ops / Max.cppinclude / mir / Tensor.h
    ops / Max.hinclude / mir / TensorVariant.h
    ops / MaxPool2D.cppinclude / mir / ShapeRange.h
    ops / MaxPool2D.cppinclude / mir / Tensor.h
    ops / MaxPool2D.hinclude / mir / ops / MaxPool2DOp.h
    ops / MaxPool2D.hinclude / mir / TensorVariant.h
    MirInterpreter.cppinclude / mir / OpDefs.h
    ops / Mul.cppinclude / mir / ShapeRange.h
    ops / Mul.cppinclude / mir / Tensor.h
    ops / Mul.hinclude / mir / TensorVariant.h
    ops / Pad.cppinclude / mir / ShapeRange.h
    ops / Pad.cppinclude / mir / Tensor.h
    ops / Pad.hinclude / mir / ops / PadOp.h
    ops / Pad.hinclude / mir / TensorVariant.h
    ops / Quantization.cppinclude / mir / ShapeRange.h
    ops / Quantization.cppinclude / mir / Tensor.h
    ops / Quantization.hinclude / mir / TensorVariant.h
    ops / ReduceMean.cppinclude / mir / ops / ReduceMeanOp.h
    ops / ReduceMean.cppinclude / mir / ShapeRange.h
    ops / ReduceMean.cppinclude / mir / Tensor.h
    ops / ReduceMean.hinclude / mir / ops / ReduceMeanOp.h
    ops / ReLU.cppinclude / mir / ShapeRange.h
    ops / ReLU.cppinclude / mir / Tensor.h
    ops / ReLU.hinclude / mir / TensorVariant.h
    ops / Reshape.cppinclude / mir / ShapeRange.h
    ops / Reshape.hinclude / mir / TensorVariant.h
    ops / Sigmoid.cppinclude / mir / ShapeRange.h
    ops / Sigmoid.cppinclude / mir / Tensor.h
    ops / Sigmoid.hinclude / mir / TensorVariant.h
    ops / Slice.cppinclude / mir / ShapeRange.h
    ops / Slice.cppinclude / mir / Tensor.h
    ops / Slice.hinclude / mir / TensorVariant.h
    ops / Softmax.cppinclude / mir / ShapeRange.h
    ops / Softmax.cppinclude / mir / Tensor.h
    ops / Softmax.hinclude / mir / TensorVariant.h
    ops / Sqrt.cppinclude / mir / ShapeRange.h
    ops / Sqrt.cppinclude / mir / Tensor.h
    ops / Sqrt.hinclude / mir / TensorVariant.h
    ops / Sub.cppinclude / mir / ShapeRange.h
    ops / Sub.cppinclude / mir / Tensor.h
    ops / Sub.hinclude / mir / TensorVariant.h
    ops / Tanh.cppinclude / mir / ShapeRange.h
    ops / Tanh.cppinclude / mir / Tensor.h
    ops / Tanh.hinclude / mir / TensorVariant.h
    ops / Transpose.cppinclude / mir / ShapeRange.h
    ops / Transpose.cppinclude / mir / Tensor.h
    ops / Transpose.hinclude / mir / TensorVariant.h
    ops / Transpose.hinclude / mir / ops / TransposeOp.h
    -

    src → include Relation

    File in compiler/morph/srcIncludes file in compiler/morph/include
    caffe.cppmorph / caffe.h
    dims.cppmorph / dims.h
    nnapi.cppmorph / nnapi.h
    tflite.cppmorph / tflite.h
    +

    src → include Relation

    File in compiler/morph/srcIncludes file in compiler/morph/include
    caffe.cppmorph / caffe.h
    dims.cppmorph / dims.h
    nnapi.cppmorph / nnapi.h
    tflite.cppmorph / tflite.h
    -

    src → exo Relation

    File in compiler/onnx2tflite/srcIncludes file in compiler/exo
    Driver.cppinclude / exo / TFLExporter.h
    +

    src → exo Relation

    File in compiler/onnx2tflite/srcIncludes file in compiler/exo
    Driver.cppinclude / exo / TFLExporter.h
    -

    src → mir Relation

    File in compiler/onnx2tflite/srcIncludes file in compiler/mir
    Driver.cppinclude / mir_onnx_importer / ONNXImporterImpl.h
    +

    src → mir Relation

    File in compiler/onnx2tflite/srcIncludes file in compiler/mir
    Driver.cppinclude / mir_onnx_importer / ONNXImporterImpl.h
    -

    src → mir2loco Relation

    File in compiler/onnx2tflite/srcIncludes file in compiler/mir2loco
    Driver.cppinclude / mir2loco.h
    +

    src → mir2loco Relation

    File in compiler/onnx2tflite/srcIncludes file in compiler/mir2loco
    Driver.cppinclude / mir2loco.h
    -

    src → cli Relation

    File in compiler/onnxkit/srcIncludes file in compiler/cli
    DecodeCommand.hppinclude / cli / Command.h
    EncodeCommand.hppinclude / cli / Command.h
    Main.cppinclude / cli / App.h
    +

    src → cli Relation

    File in compiler/onnxkit/srcIncludes file in compiler/cli
    DecodeCommand.hppinclude / cli / Command.h
    EncodeCommand.hppinclude / cli / Command.h
    Main.cppinclude / cli / App.h
    +

    src → luci Relation

    File in compiler/record-minmax/srcIncludes file in compiler/luci
    MinMaxComputer.cpplang / include / luci / IR / CircleQuantParam.h
    MinMaxObserver.cpplang / include / luci / IR / CircleOpcode.h
    RecordFunction.cpplang / include / luci / IR / CircleQuantParam.h
    RecordMinMax.cppexport / include / luci / CircleExporter.h
    RecordMinMax.cppexport / include / luci / CircleFileExpContract.h
    RecordMinMax.cpplang / include / luci / IR / CircleQuantParam.h
    RecordMinMax.cppimport / include / luci / Importer.h
    RecordMinMax.cpplog / include / luci / Log.h
    -

    src → include Relation

    File in compiler/souschef/srcIncludes file in compiler/souschef/include
    Dims.cppsouschef / Dims.h
    Explicit.cppsouschef / Data / Explicit.h
    Gaussian.cppsouschef / Data / Gaussian.h
    Gaussian.cppsouschef / LexicalCast.h
    LexicalCast.cppsouschef / LexicalCast.h
    +

    src → include Relation

    File in compiler/souschef/srcIncludes file in compiler/souschef/include
    Dims.cppsouschef / Dims.h
    Explicit.cppsouschef / Data / Explicit.h
    Gaussian.cppsouschef / Data / Gaussian.h
    Gaussian.cppsouschef / LexicalCast.h
    LexicalCast.cppsouschef / LexicalCast.h
    -

    src → exo Relation

    File in compiler/tf2tflite/srcIncludes file in compiler/exo
    Driver.cppinclude / exo / LoggingContext.h
    Driver.cppinclude / exo / TFLExporter.h
    +

    src → exo Relation

    File in compiler/tf2tflite/srcIncludes file in compiler/exo
    Driver.cppinclude / exo / LoggingContext.h
    Driver.cppinclude / exo / TFLExporter.h
    -

    src → hermes-std Relation

    File in compiler/tf2tflite/srcIncludes file in compiler/hermes-std
    Driver.cppinclude / hermes / ConsoleReporter.h
    Driver.cppinclude / hermes / EnvConfig.h
    +

    src → hermes-std Relation

    File in compiler/tf2tflite/srcIncludes file in compiler/hermes-std
    Driver.cppinclude / hermes / ConsoleReporter.h
    Driver.cppinclude / hermes / EnvConfig.h
    -

    src → locop Relation

    File in compiler/tf2tflite/srcIncludes file in compiler/locop
    Driver.cppinclude / locop / FormattedGraph.h
    +

    src → locop Relation

    File in compiler/tf2tflite/srcIncludes file in compiler/locop
    Driver.cppinclude / locop / FormattedGraph.h
    -

    src → moco-log Relation

    File in compiler/tf2tflite/srcIncludes file in compiler/moco-log
    Driver.cppinclude / moco / LoggingContext.h
    +

    src → moco-log Relation

    File in compiler/tf2tflite/srcIncludes file in compiler/moco-log
    Driver.cppinclude / moco / LoggingContext.h
    -

    src → moco-tf Relation

    File in compiler/tf2tflite/srcIncludes file in compiler/moco-tf
    CustomopConfLoader.hinclude / moco / tf / Frontend.h
    Driver.cppinclude / moco / tf / Frontend.h
    +

    src → moco-tf Relation

    File in compiler/tf2tflite/srcIncludes file in compiler/moco-tf
    CustomopConfLoader.hinclude / moco / tf / Frontend.h
    Driver.cppinclude / moco / tf / Frontend.h
    -

    src → tfinfo Relation

    File in compiler/tf2tflite/srcIncludes file in compiler/tfinfo
    Driver.cppinclude / nnkit / support / tftestinfo / TensorInfoParser.h
    +

    src → tfinfo Relation

    File in compiler/tf2tflite/srcIncludes file in compiler/tfinfo
    Driver.cppinclude / nnkit / support / tftestinfo / TensorInfoParser.h
    -

    src → cli Relation

    File in compiler/tfkit/srcIncludes file in compiler/cli
    ConvertCommand.hppinclude / cli / Command.h
    DecodeCommand.hppinclude / cli / Command.h
    EncodeCommand.hppinclude / cli / Command.h
    Main.cppinclude / cli / App.h
    PackCommand.hppinclude / cli / Command.h
    UnpackCommand.hppinclude / cli / Command.h
    +

    src → cli Relation

    File in compiler/tfkit/srcIncludes file in compiler/cli
    ConvertCommand.hppinclude / cli / Command.h
    DecodeCommand.hppinclude / cli / Command.h
    EncodeCommand.hppinclude / cli / Command.h
    Main.cppinclude / cli / App.h
    PackCommand.hppinclude / cli / Command.h
    UnpackCommand.hppinclude / cli / Command.h
    -

    src → arser Relation

    File in compiler/tfl-verify/srcIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    +

    src → arser Relation

    File in compiler/tfl-verify/srcIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    -

    src → souschef Relation

    File in compiler/tflchef/core/srcIncludes file in compiler/souschef
    ModelChef.cppinclude / souschef / DataChefs.h
    ModelChef.cppinclude / souschef / Dataset.h
    ModelChef.cppinclude / souschef / Dims.h
    ModelChef.cppinclude / souschef / RangedArguments.h
    ModelChef.cppinclude / souschef / Registry.h
    +

    src → souschef Relation

    File in compiler/tflchef/core/srcIncludes file in compiler/souschef
    ModelChef.cppinclude / souschef / DataChefs.h
    ModelChef.cppinclude / souschef / Dataset.h
    ModelChef.cppinclude / souschef / Dims.h
    ModelChef.cppinclude / souschef / RangedArguments.h
    ModelChef.cppinclude / souschef / Registry.h
    -

    src → pal Relation

    File in onert-micro/luci-interpreter/srcIncludes file in onert-micro/luci-interpreter/pal
    kernels / Abs.cppcommon / PALAbs.h
    kernels / AddN.cppcommon / PALAddN.h
    kernels / ArgMax.cppcommon / PALArgMinMax.h
    kernels / ArgMin.cppcommon / PALArgMinMax.h
    kernels / BinaryOpCommon.hcommon / PALComparisons.h
    kernels / BinaryOpCommon.hcommon / Params.h
    kernels / BinaryOpCommon.hcommon / ProcessBroadcastShapes.h
    kernels / Ceil.cppcommon / PALCeil.h
    kernels / ComparisonCommon.hcommon / PALComparisons.h
    kernels / Concatenation.cppcommon / PALConcatenation.h
    kernels / Cos.cppmcu / PALCos.h
    kernels / Div.cppcommon / PALDiv.h
    kernels / Exp.cppcommon / PALExp.h
    kernels / Floor.cppmcu / PALFloor.h
    kernels / FloorDiv.cppmcu / PALFloorDiv.h
    kernels / FloorMod.cppmcu / PALFloorMod.h
    kernels / GatherND.cppcommon / PALGatherND.h
    kernels / LeakyRelu.cppcommon / PALReluCommon.h
    kernels / Log.cppcommon / PALLog.h
    kernels / LogicalAnd.cppcommon / PALLogicalCommon.h
    kernels / LogicalNot.cppmcu / PALLogicalNot.h
    kernels / LogicalOr.cppcommon / PALLogicalCommon.h
    kernels / Logistic.cppcommon / PALLogistic.h
    kernels / Maximum.cppmcu / PALMaximum.h
    kernels / Mean.cppcommon / PALMean.h
    kernels / Minimum.cppmcu / PALMinimum.h
    kernels / MirrorPad.cppcommon / PALMirrorPad.h
    kernels / PadCommon.cppcommon / PALPad.h
    kernels / PRelu.cppcommon / PALPreluCommon.h
    kernels / ReduceCommon.cppcommon / PALReduceCommon.h
    kernels / ReduceMax.cppcommon / PALReduceCommon.h
    kernels / Relu.cppcommon / PALReluCommon.h
    kernels / Relu6.cppcommon / PALReluCommon.h
    kernels / Round.cppcommon / PALRound.h
    kernels / Rsqrt.cppcommon / PALRsqrt.h
    kernels / SelectV2.cppcommon / PALSelectV2.h
    kernels / Sin.cppmcu / PALSin.h
    kernels / Sqrt.cppcommon / PALSqrt.h
    kernels / Square.cppmcu / PALSquare.h
    kernels / SquaredDifference.cppcommon / PALSquaredDifference.h
    kernels / StridedSlice.cppcommon / PALStridedSlice.h
    kernels / Sum.cppcommon / PALReduceCommon.h
    kernels / Tanh.cppcommon / PALTanh.h
    kernels / Transpose.cppcommon / PALTranspose.h
    kernels / TransposeConv.cppcommon / PALTransposeConv.h
    kernels / UnidirectionalSequenceLSTM.hcommon / PALUtils.h
    kernels / Utils.hcommon / Params.h
    +

    src → pal Relation

    File in onert-micro/luci-interpreter/srcIncludes file in onert-micro/luci-interpreter/pal
    kernels / Abs.cppcommon / PALAbs.h
    kernels / AddN.cppcommon / PALAddN.h
    kernels / ArgMax.cppcommon / PALArgMinMax.h
    kernels / ArgMin.cppcommon / PALArgMinMax.h
    kernels / BinaryOpCommon.hcommon / PALComparisons.h
    kernels / BinaryOpCommon.hcommon / Params.h
    kernels / BinaryOpCommon.hcommon / ProcessBroadcastShapes.h
    kernels / Ceil.cppcommon / PALCeil.h
    kernels / ComparisonCommon.hcommon / PALComparisons.h
    kernels / Concatenation.cppcommon / PALConcatenation.h
    kernels / Cos.cppmcu / PALCos.h
    kernels / Div.cppcommon / PALDiv.h
    kernels / Exp.cppcommon / PALExp.h
    kernels / Floor.cppmcu / PALFloor.h
    kernels / FloorDiv.cppmcu / PALFloorDiv.h
    kernels / FloorMod.cppmcu / PALFloorMod.h
    kernels / GatherND.cppcommon / PALGatherND.h
    kernels / LeakyRelu.cppcommon / PALReluCommon.h
    kernels / Log.cppcommon / PALLog.h
    kernels / LogicalAnd.cppcommon / PALLogicalCommon.h
    kernels / LogicalNot.cppmcu / PALLogicalNot.h
    kernels / LogicalOr.cppcommon / PALLogicalCommon.h
    kernels / Logistic.cppcommon / PALLogistic.h
    kernels / Maximum.cppmcu / PALMaximum.h
    kernels / Mean.cppcommon / PALMean.h
    kernels / Minimum.cppmcu / PALMinimum.h
    kernels / MirrorPad.cppcommon / PALMirrorPad.h
    kernels / PadCommon.cppcommon / PALPad.h
    kernels / PRelu.cppcommon / PALPreluCommon.h
    kernels / ReduceCommon.cppcommon / PALReduceCommon.h
    kernels / ReduceMax.cppcommon / PALReduceCommon.h
    kernels / Relu.cppcommon / PALReluCommon.h
    kernels / Relu6.cppcommon / PALReluCommon.h
    kernels / Round.cppcommon / PALRound.h
    kernels / Rsqrt.cppcommon / PALRsqrt.h
    kernels / SelectV2.cppcommon / PALSelectV2.h
    kernels / Sin.cppmcu / PALSin.h
    kernels / Sqrt.cppcommon / PALSqrt.h
    kernels / Square.cppmcu / PALSquare.h
    kernels / SquaredDifference.cppcommon / PALSquaredDifference.h
    kernels / StridedSlice.cppcommon / PALStridedSlice.h
    kernels / Sum.cppcommon / PALReduceCommon.h
    kernels / Tanh.cppcommon / PALTanh.h
    kernels / Transpose.cppcommon / PALTranspose.h
    kernels / TransposeConv.cppcommon / PALTransposeConv.h
    kernels / UnidirectionalSequenceLSTM.hcommon / PALUtils.h
    kernels / Utils.hcommon / Params.h
    +

    src → core Relation

    File in runtime/onert/api/nnfw/srcIncludes file in runtime/onert/core
    CustomKernel.hinclude / backend / CustomKernelBuilder.h
    CustomKernel.hinclude / exec / IFunction.h
    nnfw_api_internal.ccinclude / loader / circle_loader.h
    nnfw_api_internal.ccinclude / odc / CodegenManager.h
    nnfw_api_internal.ccinclude / compiler / CompilerFactory.h
    nnfw_api_internal.ccinclude / util / Exceptions.h
    nnfw_api_internal.ccinclude / exec / Execution.h
    nnfw_api_internal.ccinclude / loader / ModelLoader.h
    nnfw_api_internal.ccinclude / ir / NNPkg.h
    nnfw_api_internal.ccinclude / ir / OpCode.h
    nnfw_api_internal.ccinclude / odc / QuantizeManager.h
    nnfw_api_internal.ccinclude / loader / tflite_loader.h
    nnfw_api_internal.ccinclude / util / TracingCtx.h
    nnfw_api_internal.ccinclude / loader / traininfo_loader.h
    nnfw_api_internal.ccinclude / ir / train / TrainingInfo.h
    nnfw_api_internal.hinclude / util / TracingCtx.h
    -

    src → include Relation

    File in runtime/onert/core/srcIncludes file in runtime/onert/core/include
    ir / operation / AddN.ccir / operation / AddN.h
    ir / operation / AddN.ccir / OperationVisitor.h
    backend / basic / Allocator.ccbackend / basic / Allocator.h
    ir / operation / ArgMinMax.ccir / operation / ArgMinMax.h
    ir / operation / ArgMinMax.ccir / OperationVisitor.h
    backend / builtin / Backend.hbackend / Backend.h
    backend / builtin / Backend.hbackend / train / ITrainableBackend.h
    backend / BackendContext.ccbackend / BackendContext.h
    backend / builtin / BackendContext.ccbackend / basic / BackendContextHelpers.h
    backend / builtin / BackendContext.hbackend / BackendContext.h
    backend / basic / BackendContextHelpers.ccbackend / basic / BackendContextHelpers.h
    compiler / BackendManager.cccompiler / BackendManager.h
    compiler / BackendResolver.cccompiler / BackendResolver.h
    exec / BackendSet.hutil / Set.h
    loader / base_loader.hir / Operations.Include.h
    ir / operation / BatchMatMul.ccir / operation / BatchMatMul.h
    ir / operation / BatchMatMul.ccir / OperationVisitor.h
    ir / operation / BatchToSpaceND.ccir / operation / BatchToSpaceND.h
    ir / operation / BatchToSpaceND.ccir / OperationVisitor.h
    ir / operation / BCQFullyConnected.ccir / operation / BCQFullyConnected.h
    ir / operation / BCQFullyConnected.ccir / OperationVisitor.h
    ir / operation / BCQGather.ccir / operation / BCQGather.h
    ir / operation / BCQGather.ccir / OperationVisitor.h
    ir / train / operation / BinaryArithmetic.ccir / train / operation / BinaryArithmetic.h
    ir / operation / BinaryArithmetic.ccir / operation / BinaryArithmetic.h
    ir / train / operation / BinaryArithmetic.ccir / OperationVisitor.h
    ir / operation / BinaryArithmetic.ccir / OperationVisitor.h
    ir / train / operation / BinaryArithmetic.ccir / train / TrainableOperationVisitor.h
    ir / operation / BroadcastTo.ccir / operation / BroadcastTo.h
    ir / operation / BroadcastTo.ccir / OperationVisitor.h
    ir / operation / Bulk.ccir / operation / Bulk.h
    ir / operation / Bulk.ccir / OperationVisitor.h
    loader / circle_loader.ccloader / circle_loader.h
    odc / CodegenLoader.hodc / ICodegen.h
    odc / CodegenManager.ccodc / CodegenManager.h
    odc / CodegenManager.ccutil / Utils.h
    ir / operation / Comparison.ccir / operation / Comparison.h
    ir / operation / Comparison.ccir / OperationVisitor.h
    compiler / Compiler.cccompiler / Compiler.h
    compiler / Compiler.cccompiler / StaticShapeInferer.h
    compiler / CompilerFactory.cccompiler / Compiler.h
    compiler / CompilerFactory.cccompiler / CompilerFactory.h
    compiler / CompilerHelpers.hcompiler / ILoweredGraph.h
    compiler / CompilerHelpers.hcompiler / StaticShapeInferer.h
    compiler / CompilerOptions.cccompiler / CompilerOptions.h
    ir / operation / Concat.ccir / operation / Concat.h
    ir / operation / Concat.ccir / OperationVisitor.h
    backend / builtin / Config.hbackend / IConfig.h
    backend / builtin / Config.hutil / ITimer.h
    compiler / pass / ConstantInsertionPass.ccbackend / Backend.h
    compiler / pass / ConstantInsertionPass.ccutil / Utils.h
    compiler / pass / ConstantInsertionPass.hcompiler / PermuteFactor.h
    compiler / pass / ConstantLoweringPass.ccbackend / Backend.h
    compiler / pass / ConstantLoweringPass.cccompiler / PermuteFactor.h
    compiler / pass / ConstantLoweringPass.ccutil / Utils.h
    compiler / pass / ConstantOutputPass.ccir / operation / Permute.h
    ir / operation / Conv2D.ccir / operation / Conv2D.h
    ir / train / operation / Conv2D.ccir / train / operation / Conv2D.h
    ir / train / operation / Conv2D.ccir / OperationVisitor.h
    ir / operation / Conv2D.ccir / OperationVisitor.h
    ir / train / operation / Conv2D.ccir / train / TrainableOperationVisitor.h
    ir / operation / ConvertFp16ToFp32.ccir / operation / ConvertFp16ToFp32.h
    ir / operation / ConvertFp16ToFp32.ccir / OperationVisitor.h
    ir / operation / ConvertFp32ToFp16.ccir / operation / ConvertFp32ToFp16.h
    ir / operation / ConvertFp32ToFp16.ccir / OperationVisitor.h
    ir / Coordinates.ccir / Coordinates.h
    ir / operation / Custom.ccir / operation / Custom.h
    ir / operation / Custom.ccir / OperationVisitor.h
    exec / DataflowExecutor.hcompiler / CodeMap.h
    exec / DataflowExecutor.hir / OperandIndexSequence.h
    exec / DataflowExecutor.hutil / TracingCtx.h
    ir / operation / DepthToSpace.ccir / operation / DepthToSpace.h
    ir / operation / DepthToSpace.ccir / OperationVisitor.h
    ir / train / operation / DepthwiseConv2D.ccir / train / operation / DepthwiseConv2D.h
    ir / operation / DepthwiseConv2D.ccir / operation / DepthwiseConv2D.h
    ir / train / operation / DepthwiseConv2D.ccir / OperationVisitor.h
    ir / operation / DepthwiseConv2D.ccir / OperationVisitor.h
    ir / train / operation / DepthwiseConv2D.ccir / train / TrainableOperationVisitor.h
    ir / operation / DetectionPostProcess.ccir / operation / DetectionPostProcess.h
    ir / operation / DetectionPostProcess.ccir / OperationVisitor.h
    dumper / dot / DotBuilder.hir / Operand.h
    dumper / dot / DotDumper.ccbackend / Backend.h
    dumper / dot / DotDumper.cccompiler / BackendManager.h
    dumper / dot / DotDumper.ccbackend / IConfig.h
    dumper / dot / DotDumper.ccir / OperandIndexMap.h
    dumper / dot / DotDumper.ccir / OperationIndexMap.h
    dumper / dot / DotDumper.hcompiler / ILoweredGraph.h
    dumper / dot / DotDumper.hir / train / TrainableGraph.h
    dumper / h5 / Dumper.hexec / MinMaxMap.h
    exec / DynamicShapeInferer.ccexec / DynamicShapeInferer.h
    exec / DynamicShapeInferer.ccutil / ShapeInference.h
    backend / basic / DynamicTensorManager.ccbackend / basic / DynamicTensorManager.h
    backend / builtin / DynamicTensorManager.hbackend / basic / DynamicTensorManager.h
    ir / operation / Einsum.ccir / operation / Einsum.h
    ir / operation / Einsum.ccir / OperationVisitor.h
    ir / operation / ElementwiseActivation.ccir / operation / ElementwiseActivation.h
    ir / train / operation / ElementwiseActivation.ccir / train / operation / ElementwiseActivation.h
    ir / train / operation / ElementwiseActivation.ccir / OperationVisitor.h
    ir / operation / ElementwiseActivation.ccir / OperationVisitor.h
    ir / train / operation / ElementwiseActivation.ccir / train / TrainableOperationVisitor.h
    ir / operation / ElementwiseBinary.ccir / operation / ElementwiseBinary.h
    ir / operation / ElementwiseBinary.ccir / OperationVisitor.h
    ir / operation / ElementwiseUnary.ccir / operation / ElementwiseUnary.h
    ir / operation / ElementwiseUnary.ccir / OperationVisitor.h
    ir / operation / EmbeddingLookup.ccir / operation / EmbeddingLookup.h
    ir / operation / EmbeddingLookup.ccir / OperationVisitor.h
    exec / ExecTime.hbackend / Backend.h
    exec / ExecTime.hbackend / IConfig.h
    exec / Execution.ccexec / Execution.h
    exec / ExecutionObservers.hexec / IExecutor.h
    exec / ExecutionObservers.hir / IOperation.h
    exec / ExecutionObservers.hutil / ITimer.h
    exec / ExecutionObservers.hutil / TracingCtx.h
    exec / ExecutorBase.hexec / IExecutor.h
    exec / ExecutorBase.hexec / IODescription.h
    exec / ExecutorBase.hcompiler / LoweredGraph.h
    exec / ExecutorBase.hir / OperationIndexMap.h
    exec / ExecutorBase.hutil / TracingCtx.h
    compiler / ExecutorFactory.cccompiler / BackendManager.h
    compiler / ExecutorFactory.cccompiler / ExecutionBuilder.h
    compiler / ExecutorFactory.ccbackend / IPortableTensor.h
    compiler / ExecutorFactory.ccbackend / train / ITrainableBackend.h
    compiler / ExecutorFactory.ccutil / TracingCtx.h
    compiler / ExecutorFactory.ccbackend / train / TrainableBackendContext.h
    compiler / ExecutorFactory.hexec / IExecutors.h
    compiler / ExecutorFactory.hbackend / ITensor.h
    compiler / ExecutorFactory.hcompiler / LoweredGraph.h
    compiler / ExecutorFactory.hcompiler / train / LoweredTrainableGraph.h
    compiler / ExecutorFactory.hbackend / train / TrainableBackendContext.h
    compiler / ExecutorFactory.hir / train / TrainingInfo.h
    ir / operation / ExpandDims.ccir / operation / ExpandDims.h
    ir / operation / ExpandDims.ccir / OperationVisitor.h
    ir / operation / Fill.ccir / operation / Fill.h
    ir / operation / Fill.ccir / OperationVisitor.h
    ir / train / operation / FullyConnected.ccir / train / operation / FullyConnected.h
    ir / operation / FullyConnected.ccir / operation / FullyConnected.h
    ir / train / operation / FullyConnected.ccir / OperationVisitor.h
    ir / operation / FullyConnected.ccir / OperationVisitor.h
    ir / train / operation / FullyConnected.ccir / train / TrainableOperationVisitor.h
    exec / FunctionSequence.ccexec / FunctionSequence.h
    exec / FunctionSequence.ccbackend / ITensorRegistry.h
    ir / operation / FusedBatchNorm.ccir / operation / FusedBatchNorm.h
    ir / operation / FusedBatchNorm.ccir / OperationVisitor.h
    ir / operation / Gather.ccir / operation / Gather.h
    ir / operation / Gather.ccir / OperationVisitor.h
    ir / Graph.ccutil / Set.h
    ir / operation / HashtableLookup.ccir / operation / HashtableLookup.h
    ir / operation / HashtableLookup.ccir / OperationVisitor.h
    compiler / HEScheduler.cccompiler / BackendResolver.h
    compiler / HEScheduler.hbackend / Backend.h
    compiler / HEScheduler.hcompiler / BackendManager.h
    compiler / HEScheduler.hcompiler / Compiler.h
    compiler / HEScheduler.hir / OperationIndexMap.h
    ir / operation / If.ccir / operation / If.h
    ir / operation / If.ccir / OperationVisitor.h
    backend / builtin / kernel / IfLayer.hexec / IExecutors.h
    backend / builtin / kernel / IfLayer.hbackend / IPortableTensor.h
    ir / operation / InstanceNorm.ccir / operation / InstanceNorm.h
    ir / operation / InstanceNorm.ccir / OperationVisitor.h
    backend / builtin / IOTensor.hbackend / IPortableTensor.h
    exec / IPermuteFunction.ccexec / IFunction.h
    exec / IPermuteFunction.ccbackend / IPortableTensor.h
    exec / IPermuteFunction.ccutil / Utils.h
    exec / IPermuteFunction.hexec / IFunction.h
    exec / IPermuteFunction.hbackend / ITensor.h
    backend / IPortableTensor.ccbackend / IPortableTensor.h
    compiler / IScheduler.hcompiler / BackendResolver.h
    backend / ITensor.ccbackend / ITensor.h
    exec / Job.hbackend / Backend.h
    exec / Job.hexec / FunctionSequence.h
    exec / Job.hir / OperandIndexSequence.h
    exec / JSONExecTime.hbackend / Backend.h
    exec / JSONExecTime.hbackend / IConfig.h
    backend / builtin / KernelGenerator.ccexec / FunctionSequence.h
    backend / builtin / KernelGenerator.hexec / IExecutors.h
    backend / builtin / KernelGenerator.hbackend / basic / KernelGeneratorBase.h
    ir / operation / L2Normalization.ccir / operation / L2Normalization.h
    ir / operation / L2Normalization.ccir / OperationVisitor.h
    compiler / Linear.hcompiler / ILoweredGraph.h
    exec / LinearExecutor.hcompiler / CodeMap.h
    exec / LinearExecutor.hutil / TracingCtx.h
    ir / operation / LocalResponseNormalization.ccir / operation / LocalResponseNormalization.h
    ir / operation / LocalResponseNormalization.ccir / OperationVisitor.h
    ir / operation / LogSoftmax.ccir / operation / LogSoftmax.h
    ir / operation / LogSoftmax.ccir / OperationVisitor.h
    ir / operation / Loss.ccir / operation / Loss.h
    ir / train / operation / Loss.ccir / train / operation / Loss.h
    ir / operation / Loss.ccir / OperationVisitor.h
    ir / train / operation / Loss.ccir / OperationVisitor.h
    ir / train / operation / Loss.ccir / train / TrainableOperationVisitor.h
    compiler / train / pass / LossInsertionPass.ccir / train / operation / Loss.h
    compiler / train / pass / LossInsertionPass.ccir / train / TrainableGraph.h
    compiler / train / pass / LossInsertionPass.ccir / train / TrainingInfo.h
    compiler / LoweredGraph.ccbackend / Backend.h
    compiler / LoweredGraph.cccompiler / BackendResolver.h
    compiler / LoweredGraph.cccompiler / LoweredGraph.h
    compiler / pass / LoweredOperandPass.hcompiler / ILoweredGraph.h
    compiler / pass / LoweredOperationPass.hcompiler / ILoweredGraph.h
    ir / operation / LSTM.ccir / operation / LSTM.h
    ir / operation / LSTM.ccir / OperationVisitor.h
    compiler / ManualScheduler.ccbackend / Backend.h
    compiler / ManualScheduler.cccompiler / BackendManager.h
    compiler / ManualScheduler.ccbackend / IConfig.h
    compiler / ManualScheduler.ccir / OpCode.h
    compiler / ManualScheduler.ccir / Operations.Include.h
    compiler / ManualScheduler.hcompiler / Compiler.h
    ir / operation / MatrixBandPart.ccir / operation / MatrixBandPart.h
    ir / operation / MatrixBandPart.ccir / OperationVisitor.h
    backend / basic / MemoryManager.ccbackend / basic / MemoryManager.h
    backend / basic / MemoryPlanner.hbackend / basic / Allocator.h
    backend / basic / MemoryPlanner.hbackend / basic / IMemoryPlanner.h
    backend / basic / MemoryPlanner.hir / OperandIndexMap.h
    backend / basic / MemoryPlannerFactory.hbackend / basic / IMemoryPlanner.h
    dumper / h5 / MinMaxDumper.hexec / MinMaxMap.h
    exec / MinMaxRecorder.ccbackend / ITensor.h
    exec / MinMaxRecorder.hexec / MinMaxMap.h
    ir / MockNode.hir / OperandIndexSequence.h
    exec / feature / MockTensor.hbackend / ITensor.h
    compiler / MultiModelCompiler.cccompiler / StaticShapeInferer.h
    compiler / MultiModelCompiler.hcompiler / CompilerOptions.h
    compiler / MultiModelCompiler.hcompiler / ICompiler.h
    compiler / MultiModelCompiler.hir / NNPkg.h
    exec / MultiModelExecutors.hexec / IExecutors.h
    exec / MultiModelExecutors.hir / NNPkg.h
    compiler / pass / OddOutputPass.ccir / operation / Permute.h
    compiler / pass / OddOutputPass.ccutil / Utils.h
    ir / operation / OneHot.ccir / operation / OneHot.h
    ir / operation / OneHot.ccir / OperationVisitor.h
    ir / OpCode.ccir / OpCode.h
    ir / Operand.ccir / Operand.h
    ir / OperandIndexSequence.ccir / OperandIndexSequence.h
    dumper / dot / OperandNode.hir / Operand.h
    ir / Operands.ccir / Operands.h
    ir / OperationCloner.hir / OperationVisitor.h
    ir / OperationDumper.hir / OperationVisitor.h
    ir / OperationIndexSet.ccir / OperationIndexSet.h
    compiler / OperationLowerInfo.cccompiler / OperationLowerInfo.h
    dumper / dot / OperationNode.ccbackend / Backend.h
    dumper / dot / OperationNode.ccbackend / IConfig.h
    dumper / dot / OperationNode.hir / IOperation.h
    compiler / pass / OperationPass.ccir / IOperation.h
    ir / Operations.ccir / Operations.h
    ir / OperationValidator.hir / Operands.h
    ir / OperationValidator.hir / Operations.h
    ir / OperationValidator.hir / OperationVisitor.h
    ir / operation / Pack.ccir / OperationVisitor.h
    ir / operation / Pack.ccir / operation / Pack.h
    ir / train / operation / Pad.ccir / OperationVisitor.h
    ir / operation / Pad.ccir / OperationVisitor.h
    ir / operation / Pad.ccir / operation / Pad.h
    ir / train / operation / Pad.ccir / train / operation / Pad.h
    ir / train / operation / Pad.ccir / train / TrainableOperationVisitor.h
    ir / Padding.ccir / Padding.h
    ir / Padding.ccutil / Utils.h
    exec / ParallelExecutor.ccexec / IFunction.h
    exec / ParallelExecutor.hutil / TracingCtx.h
    exec / ParallelScheduler.hexec / IFunction.h
    compiler / pass / PermutationEliminationPass.ccbackend / Backend.h
    compiler / pass / PermutationEliminationPass.hir / OperationVisitor.h
    compiler / pass / PermutationInsertionPass.cccompiler / OperationLowerInfo.h
    compiler / pass / PermutationInsertionPass.ccir / operation / Permute.h
    compiler / pass / PermutationInsertionPass.hcompiler / BackendManager.h
    compiler / pass / PermutationInsertionPass.hir / Operand.h
    compiler / pass / PermutationInsertionPass.hcompiler / PermuteFactor.h
    compiler / pass / PermutationOperationPass.ccbackend / Backend.h
    compiler / pass / PermutationOperationPass.ccbackend / IConfig.h
    compiler / pass / PermutationOperationPass.hir / OperationVisitor.h
    ir / operation / Permute.ccir / OperationVisitor.h
    ir / train / operation / Permute.ccir / OperationVisitor.h
    ir / operation / Permute.ccir / operation / Permute.h
    ir / train / operation / Permute.ccir / train / operation / Permute.h
    ir / train / operation / Permute.ccir / train / TrainableOperationVisitor.h
    compiler / PermuteFactor.ccbackend / Backend.h
    compiler / PermuteFactor.cccompiler / PermuteFactor.h
    backend / builtin / train / kernel / PermuteLayer.hexec / train / ITrainableFunction.h
    ir / train / operation / Pool2D.ccir / OperationVisitor.h
    ir / operation / Pool2D.ccir / OperationVisitor.h
    ir / train / operation / Pool2D.ccir / train / operation / Pool2D.h
    ir / operation / Pool2D.ccir / operation / Pool2D.h
    ir / train / operation / Pool2D.ccir / train / TrainableOperationVisitor.h
    ir / operation / Pow.ccir / OperationVisitor.h
    ir / operation / Pow.ccir / operation / Pow.h
    ir / operation / PReLU.ccir / OperationVisitor.h
    ir / operation / PReLU.ccir / operation / PReLU.h
    odc / QuantizeManager.ccodc / QuantizeManager.h
    odc / QuantizerLoader.hodc / IQuantizer.h
    ir / operation / Range.ccir / OperationVisitor.h
    ir / operation / Range.ccir / operation / Range.h
    ir / operation / Rank.ccir / OperationVisitor.h
    ir / operation / Rank.ccir / operation / Rank.h
    exec / feature / nchw / Reader.hbackend / ITensor.h
    exec / feature / nhwc / Reader.hbackend / ITensor.h
    exec / feature / nhwc / Reader.hutil / Utils.h
    ir / operation / Reduce.ccir / OperationVisitor.h
    ir / train / operation / Reduce.ccir / OperationVisitor.h
    ir / operation / Reduce.ccir / operation / Reduce.h
    ir / train / operation / Reduce.ccir / train / operation / Reduce.h
    ir / train / operation / Reduce.ccir / train / TrainableOperationVisitor.h
    ir / operation / Reshape.ccir / OperationVisitor.h
    ir / train / operation / Reshape.ccir / OperationVisitor.h
    ir / operation / Reshape.ccir / operation / Reshape.h
    ir / train / operation / Reshape.ccir / train / operation / Reshape.h
    ir / train / operation / Reshape.ccir / train / TrainableOperationVisitor.h
    ir / operation / ResizeBilinear.ccir / OperationVisitor.h
    ir / operation / ResizeBilinear.ccir / operation / ResizeBilinear.h
    ir / operation / ResizeNearestNeighbor.ccir / OperationVisitor.h
    ir / operation / ResizeNearestNeighbor.ccir / operation / ResizeNearestNeighbor.h
    ir / operation / Reverse.ccir / OperationVisitor.h
    ir / operation / Reverse.ccir / operation / Reverse.h
    ir / operation / RNN.ccir / OperationVisitor.h
    ir / operation / RNN.ccir / operation / RNN.h
    ir / operation / Select.ccir / OperationVisitor.h
    ir / operation / Select.ccir / operation / Select.h
    ir / operation / Shape.ccir / OperationVisitor.h
    ir / operation / Shape.ccir / operation / Shape.h
    compiler / ShapeValidator.ccutil / Utils.h
    compiler / ShapeValidator.hir / OperationVisitor.h
    exec / SingleModelExecutors.hexec / IExecutors.h
    exec / SingleModelExecutors.hir / NNPkg.h
    ir / operation / Slice.ccir / OperationVisitor.h
    ir / operation / Slice.ccir / operation / Slice.h
    ir / operation / Softmax.ccir / OperationVisitor.h
    ir / train / operation / Softmax.ccir / OperationVisitor.h
    ir / train / operation / Softmax.ccir / train / operation / Softmax.h
    ir / operation / Softmax.ccir / operation / Softmax.h
    ir / train / operation / Softmax.ccir / train / TrainableOperationVisitor.h
    ir / operation / SpaceToBatchND.ccir / OperationVisitor.h
    ir / operation / SpaceToBatchND.ccir / operation / SpaceToBatchND.h
    ir / operation / SpaceToDepth.ccir / OperationVisitor.h
    ir / operation / SpaceToDepth.ccir / operation / SpaceToDepth.h
    ir / operation / Split.ccir / OperationVisitor.h
    ir / operation / Split.ccir / operation / Split.h
    ir / operation / SplitV.ccir / OperationVisitor.h
    ir / operation / SplitV.ccir / operation / SplitV.h
    ir / operation / SquaredDifference.ccir / OperationVisitor.h
    ir / operation / SquaredDifference.ccir / operation / SquaredDifference.h
    ir / operation / Squeeze.ccir / OperationVisitor.h
    ir / operation / Squeeze.ccir / operation / Squeeze.h
    ir / operation / StatelessRandomUniform.ccir / OperationVisitor.h
    ir / operation / StatelessRandomUniform.ccir / operation / StatelessRandomUniform.h
    compiler / StaticShapeInferer.ccutil / ShapeInference.h
    compiler / StaticShapeInferer.cccompiler / StaticShapeInferer.h
    backend / basic / StaticTensorManager.ccbackend / basic / DynamicTensorManager.h
    backend / basic / StaticTensorManager.ccbackend / basic / StaticTensorManager.h
    backend / basic / StaticTensorManager.ccbackend / basic / Tensor.h
    ir / operation / StridedSlice.ccir / OperationVisitor.h
    ir / operation / StridedSlice.ccir / operation / StridedSlice.h
    backend / basic / Tensor.ccbackend / basic / MemoryManager.h
    backend / basic / Tensor.ccbackend / basic / Tensor.h
    backend / builtin / Tensor.hbackend / basic / Tensor.h
    backend / basic / TensorBuilder.ccbackend / basic / TensorBuilder.h
    backend / builtin / TensorBuilder.hir / OperandIndexMap.h
    backend / builtin / TensorBuilder.hbackend / basic / StaticTensorManager.h
    backend / builtin / TensorBuilder.hbackend / basic / Tensor.h
    backend / builtin / TensorBuilder.hbackend / basic / TensorRegistry.h
    compiler / TensorRegistries.hbackend / Backend.h
    compiler / TensorRegistries.hbackend / BackendContext.h
    backend / builtin / TensorRegistry.hbackend / ITensorRegistry.h
    backend / builtin / TensorRegistry.hbackend / basic / TensorRegistry.h
    loader / tflite_loader.ccloader / tflite_loader.h
    ir / operation / Tile.ccir / OperationVisitor.h
    ir / operation / Tile.ccir / operation / Tile.h
    ir / operation / TopKV2.ccir / OperationVisitor.h
    ir / operation / TopKV2.ccir / operation / TopKV2.h
    loader / traininfo_loader.ccloader / traininfo_loader.h
    ir / operation / Transpose.ccir / OperationVisitor.h
    ir / operation / Transpose.ccir / operation / Transpose.h
    ir / operation / TransposeConv.ccir / OperationVisitor.h
    ir / operation / TransposeConv.ccir / operation / TransposeConv.h
    ir / TypeInfo.ccir / TypeInfo.h
    ir / operation / Unpack.ccir / OperationVisitor.h
    ir / operation / Unpack.ccir / operation / Unpack.h
    compiler / pass / UnusedOperandEliminationPass.ccutil / Set.h
    backend / builtin / UserTensor.ccutil / Exceptions.h
    backend / builtin / UserTensor.hbackend / IPortableTensor.h
    backend / builtin / UserTensor.hir / OperandInfo.h
    exec / feature / nhwc / View.hbackend / ITensor.h
    exec / feature / nchw / View.hbackend / ITensor.h
    exec / feature / nhwc / View.hutil / Utils.h
    ir / operation / While.ccir / OperationVisitor.h
    ir / operation / While.ccir / operation / While.h
    backend / builtin / kernel / WhileLayer.hexec / IExecutors.h
    backend / builtin / kernel / WhileLayer.hexec / IFunction.h
    backend / builtin / kernel / WhileLayer.hbackend / IPortableTensor.h
    backend / builtin / kernel / WhileLayer.hbackend / basic / MemoryManager.h
    backend / builtin / kernel / WhileLayer.hir / OperandIndexSequence.h
    exec / WorkQueue.hexec / IFunction.h
    dumper / text / GraphDumper.cccompiler / LoweredGraph.h
    dumper / text / GraphDumper.cccompiler / train / LoweredTrainableGraph.h
    backend / basic / train / TrainableTensor.ccbackend / basic / train / TrainableTensor.h
    backend / builtin / train / BackendContext.ccbackend / basic / train / TrainableBackendContextHelpers.h
    backend / builtin / train / BackendContext.ccexec / FunctionSequence.h
    backend / builtin / train / BackendContext.hbackend / train / TrainableBackendContext.h
    backend / builtin / train / KernelGenerator.hbackend / train / KernelGeneratorBase.h
    backend / builtin / train / KernelGenerator.hexec / train / TrainableFnSequence.h
    backend / builtin / train / KernelGenerator.hir / train / TrainableGraph.h
    backend / builtin / train / Tensor.hbackend / basic / train / TrainableTensor.h
    backend / builtin / train / TensorRegistry.hbackend / train / ITensorRegistry.h
    compiler / train / LoweredTrainableGraph.cccompiler / train / LoweredTrainableGraph.h
    compiler / train / LoweredTrainableGraph.ccbackend / Backend.h
    compiler / train / LoweredTrainableGraph.ccbackend / train / ITrainableBackend.h
    compiler / train / LoweredTrainableGraph.cccompiler / BackendResolver.h
    compiler / train / StaticBackwardShapeInferer.ccutil / ShapeInference.h
    compiler / train / StaticBackwardShapeInferer.hir / train / TrainableOperationVisitor.h
    compiler / train / StaticBackwardShapeInferer.hcompiler / train / LoweredTrainableGraph.h
    compiler / train / TensorRegistries.hbackend / train / ITensorRegistry.h
    compiler / train / TensorRegistries.hbackend / train / TrainableBackendContext.h
    compiler / train / TrainableOperationConverter.ccir / train / Operations.Include.h
    compiler / train / TrainableOperationConverter.ccutil / Utils.h
    compiler / train / TrainableOperationConverter.hir / train / TrainingInfo.h
    compiler / train / TrainingCompiler.cccompiler / StaticShapeInferer.h
    compiler / train / TrainingCompiler.cccompiler / train / LoweredTrainableGraph.h
    compiler / train / TrainingCompiler.ccir / train / TrainableGraph.h
    compiler / train / TrainingCompiler.hcompiler / CompilerOptions.h
    compiler / train / TrainingCompiler.hcompiler / ICompiler.h
    compiler / train / TrainingCompiler.hir / NNPkg.h
    compiler / train / TrainingCompiler.hir / train / TrainingInfo.h
    compiler / train / UntrainableOperationConverter.ccir / train / operation / UntrainableOperation.h
    compiler / train / UntrainableOperationConverter.hir / Operations.Include.h
    compiler / train / UntrainableOperationConverter.hir / OperationVisitor.h
    compiler / train / UntrainableOperationConverter.hir / train / TrainableGraph.h
    exec / train / TrainableExecutor.hexec / IExecutor.h
    exec / train / TrainableExecutor.hbackend / train / TrainableBackendContext.h
    exec / train / TrainableExecutor.hcompiler / train / TrainableCodeMap.h
    exec / train / TrainableExecutor.hcompiler / train / LoweredTrainableGraph.h
    exec / train / TrainableExecutor.hir / train / LossInfo.h
    exec / train / TrainableExecutor.hutil / TracingCtx.h
    exec / train / TrainableExecutors.hexec / IExecutors.h
    exec / train / TrainableExecutors.hir / NNPkg.h
    exec / train / TrainableFnSequence.ccexec / train / TrainableFnSequence.h
    ir / train / LossCode.ccir / train / LossCode.h
    ir / train / OptimizerCode.ccir / train / OptimizerCode.h
    ir / train / TrainableGraph.ccir / train / TrainableGraph.h
    ir / train / TrainableGraph.ccutil / Utils.h
    ir / train / TrainableGraph.ccutil / Set.h
    ir / train / TrainingInfo.ccir / train / TrainingInfo.h
    util / EventCollector.hutil / TracingCtx.h
    util / EventRecorder.hutil / TracingCtx.h
    util / ShapeInference.ccutil / Utils.h
    util / ShapeInference.ccir / InternalType.h
    util / ShapeInference.ccutil / ShapeInference.h
    util / TracingCtx.ccutil / TracingCtx.h
    ir / verifier / Verifier.ccir / OperationIndexMap.h
    +

    src → include Relation

    File in runtime/onert/core/srcIncludes file in runtime/onert/core/include
    ir / operation / AddN.ccir / operation / AddN.h
    ir / operation / AddN.ccir / OperationVisitor.h
    backend / basic / Allocator.ccbackend / basic / Allocator.h
    ir / operation / ArgMinMax.ccir / operation / ArgMinMax.h
    ir / operation / ArgMinMax.ccir / OperationVisitor.h
    backend / builtin / Backend.hbackend / Backend.h
    backend / builtin / Backend.hbackend / train / ITrainableBackend.h
    backend / BackendContext.ccbackend / BackendContext.h
    backend / builtin / BackendContext.ccbackend / basic / BackendContextHelpers.h
    backend / builtin / BackendContext.hbackend / BackendContext.h
    backend / basic / BackendContextHelpers.ccbackend / basic / BackendContextHelpers.h
    compiler / BackendManager.cccompiler / BackendManager.h
    compiler / BackendResolver.cccompiler / BackendResolver.h
    exec / BackendSet.hutil / Set.h
    loader / base_loader.hir / Operations.Include.h
    ir / operation / BatchMatMul.ccir / operation / BatchMatMul.h
    ir / operation / BatchMatMul.ccir / OperationVisitor.h
    ir / operation / BatchToSpaceND.ccir / operation / BatchToSpaceND.h
    ir / operation / BatchToSpaceND.ccir / OperationVisitor.h
    ir / operation / BCQFullyConnected.ccir / operation / BCQFullyConnected.h
    ir / operation / BCQFullyConnected.ccir / OperationVisitor.h
    ir / operation / BCQGather.ccir / operation / BCQGather.h
    ir / operation / BCQGather.ccir / OperationVisitor.h
    ir / train / operation / BinaryArithmetic.ccir / train / operation / BinaryArithmetic.h
    ir / operation / BinaryArithmetic.ccir / operation / BinaryArithmetic.h
    ir / train / operation / BinaryArithmetic.ccir / OperationVisitor.h
    ir / operation / BinaryArithmetic.ccir / OperationVisitor.h
    ir / train / operation / BinaryArithmetic.ccir / train / TrainableOperationVisitor.h
    ir / operation / BroadcastTo.ccir / operation / BroadcastTo.h
    ir / operation / BroadcastTo.ccir / OperationVisitor.h
    ir / operation / Bulk.ccir / operation / Bulk.h
    ir / operation / Bulk.ccir / OperationVisitor.h
    loader / circle_loader.ccloader / circle_loader.h
    odc / CodegenLoader.hodc / ICodegen.h
    odc / CodegenManager.ccodc / CodegenManager.h
    odc / CodegenManager.ccutil / Utils.h
    ir / operation / Comparison.ccir / operation / Comparison.h
    ir / operation / Comparison.ccir / OperationVisitor.h
    compiler / Compiler.cccompiler / Compiler.h
    compiler / Compiler.cccompiler / StaticShapeInferer.h
    compiler / CompilerFactory.cccompiler / Compiler.h
    compiler / CompilerFactory.cccompiler / CompilerFactory.h
    compiler / CompilerHelpers.hcompiler / ILoweredGraph.h
    compiler / CompilerHelpers.hcompiler / StaticShapeInferer.h
    compiler / CompilerOptions.cccompiler / CompilerOptions.h
    ir / operation / Concat.ccir / operation / Concat.h
    ir / operation / Concat.ccir / OperationVisitor.h
    backend / builtin / Config.hbackend / IConfig.h
    backend / builtin / Config.hutil / ITimer.h
    compiler / pass / ConstantInsertionPass.ccbackend / Backend.h
    compiler / pass / ConstantInsertionPass.ccutil / Utils.h
    compiler / pass / ConstantInsertionPass.hcompiler / PermuteFactor.h
    compiler / pass / ConstantLoweringPass.ccbackend / Backend.h
    compiler / pass / ConstantLoweringPass.cccompiler / PermuteFactor.h
    compiler / pass / ConstantLoweringPass.ccutil / Utils.h
    compiler / pass / ConstantOutputPass.ccir / operation / Permute.h
    ir / operation / Conv2D.ccir / operation / Conv2D.h
    ir / train / operation / Conv2D.ccir / train / operation / Conv2D.h
    ir / train / operation / Conv2D.ccir / OperationVisitor.h
    ir / operation / Conv2D.ccir / OperationVisitor.h
    ir / train / operation / Conv2D.ccir / train / TrainableOperationVisitor.h
    ir / operation / ConvertFp16ToFp32.ccir / operation / ConvertFp16ToFp32.h
    ir / operation / ConvertFp16ToFp32.ccir / OperationVisitor.h
    ir / operation / ConvertFp32ToFp16.ccir / operation / ConvertFp32ToFp16.h
    ir / operation / ConvertFp32ToFp16.ccir / OperationVisitor.h
    ir / Coordinates.ccir / Coordinates.h
    ir / operation / Custom.ccir / operation / Custom.h
    ir / operation / Custom.ccir / OperationVisitor.h
    exec / DataflowExecutor.hcompiler / CodeMap.h
    exec / DataflowExecutor.hir / OperandIndexSequence.h
    exec / DataflowExecutor.hutil / TracingCtx.h
    ir / operation / DepthToSpace.ccir / operation / DepthToSpace.h
    ir / operation / DepthToSpace.ccir / OperationVisitor.h
    ir / train / operation / DepthwiseConv2D.ccir / train / operation / DepthwiseConv2D.h
    ir / operation / DepthwiseConv2D.ccir / operation / DepthwiseConv2D.h
    ir / train / operation / DepthwiseConv2D.ccir / OperationVisitor.h
    ir / operation / DepthwiseConv2D.ccir / OperationVisitor.h
    ir / train / operation / DepthwiseConv2D.ccir / train / TrainableOperationVisitor.h
    ir / operation / DetectionPostProcess.ccir / operation / DetectionPostProcess.h
    ir / operation / DetectionPostProcess.ccir / OperationVisitor.h
    dumper / dot / DotBuilder.hir / Operand.h
    dumper / dot / DotDumper.ccbackend / Backend.h
    dumper / dot / DotDumper.cccompiler / BackendManager.h
    dumper / dot / DotDumper.ccbackend / IConfig.h
    dumper / dot / DotDumper.ccir / OperandIndexMap.h
    dumper / dot / DotDumper.ccir / OperationIndexMap.h
    dumper / dot / DotDumper.hcompiler / ILoweredGraph.h
    dumper / dot / DotDumper.hir / train / TrainableGraph.h
    dumper / h5 / Dumper.hexec / MinMaxMap.h
    exec / DynamicShapeInferer.ccexec / DynamicShapeInferer.h
    exec / DynamicShapeInferer.ccutil / ShapeInference.h
    backend / basic / DynamicTensorManager.ccbackend / basic / DynamicTensorManager.h
    backend / builtin / DynamicTensorManager.hbackend / basic / DynamicTensorManager.h
    ir / operation / Einsum.ccir / operation / Einsum.h
    ir / operation / Einsum.ccir / OperationVisitor.h
    ir / operation / ElementwiseActivation.ccir / operation / ElementwiseActivation.h
    ir / train / operation / ElementwiseActivation.ccir / train / operation / ElementwiseActivation.h
    ir / train / operation / ElementwiseActivation.ccir / OperationVisitor.h
    ir / operation / ElementwiseActivation.ccir / OperationVisitor.h
    ir / train / operation / ElementwiseActivation.ccir / train / TrainableOperationVisitor.h
    ir / operation / ElementwiseBinary.ccir / operation / ElementwiseBinary.h
    ir / operation / ElementwiseBinary.ccir / OperationVisitor.h
    ir / operation / ElementwiseUnary.ccir / operation / ElementwiseUnary.h
    ir / operation / ElementwiseUnary.ccir / OperationVisitor.h
    ir / operation / EmbeddingLookup.ccir / operation / EmbeddingLookup.h
    ir / operation / EmbeddingLookup.ccir / OperationVisitor.h
    exec / ExecTime.hbackend / Backend.h
    exec / ExecTime.hbackend / IConfig.h
    exec / Execution.ccexec / Execution.h
    exec / ExecutionObservers.hexec / IExecutor.h
    exec / ExecutionObservers.hir / IOperation.h
    exec / ExecutionObservers.hutil / ITimer.h
    exec / ExecutionObservers.hutil / TracingCtx.h
    exec / ExecutorBase.hexec / IExecutor.h
    exec / ExecutorBase.hexec / IODescription.h
    exec / ExecutorBase.hcompiler / LoweredGraph.h
    exec / ExecutorBase.hir / OperationIndexMap.h
    exec / ExecutorBase.hutil / TracingCtx.h
    compiler / ExecutorFactory.cccompiler / BackendManager.h
    compiler / ExecutorFactory.cccompiler / ExecutionBuilder.h
    compiler / ExecutorFactory.ccbackend / IPortableTensor.h
    compiler / ExecutorFactory.ccbackend / train / ITrainableBackend.h
    compiler / ExecutorFactory.ccutil / TracingCtx.h
    compiler / ExecutorFactory.ccbackend / train / TrainableBackendContext.h
    compiler / ExecutorFactory.hexec / IExecutors.h
    compiler / ExecutorFactory.hbackend / ITensor.h
    compiler / ExecutorFactory.hcompiler / LoweredGraph.h
    compiler / ExecutorFactory.hcompiler / train / LoweredTrainableGraph.h
    compiler / ExecutorFactory.hbackend / train / TrainableBackendContext.h
    compiler / ExecutorFactory.hir / train / TrainingInfo.h
    ir / operation / ExpandDims.ccir / operation / ExpandDims.h
    ir / operation / ExpandDims.ccir / OperationVisitor.h
    ir / operation / Fill.ccir / operation / Fill.h
    ir / operation / Fill.ccir / OperationVisitor.h
    ir / train / operation / FullyConnected.ccir / train / operation / FullyConnected.h
    ir / operation / FullyConnected.ccir / operation / FullyConnected.h
    ir / train / operation / FullyConnected.ccir / OperationVisitor.h
    ir / operation / FullyConnected.ccir / OperationVisitor.h
    ir / train / operation / FullyConnected.ccir / train / TrainableOperationVisitor.h
    exec / FunctionSequence.ccexec / FunctionSequence.h
    exec / FunctionSequence.ccbackend / ITensorRegistry.h
    ir / operation / FusedBatchNorm.ccir / operation / FusedBatchNorm.h
    ir / operation / FusedBatchNorm.ccir / OperationVisitor.h
    ir / operation / Gather.ccir / operation / Gather.h
    ir / operation / Gather.ccir / OperationVisitor.h
    ir / Graph.ccutil / Set.h
    ir / operation / HashtableLookup.ccir / operation / HashtableLookup.h
    ir / operation / HashtableLookup.ccir / OperationVisitor.h
    compiler / HEScheduler.cccompiler / BackendResolver.h
    compiler / HEScheduler.hbackend / Backend.h
    compiler / HEScheduler.hcompiler / BackendManager.h
    compiler / HEScheduler.hcompiler / Compiler.h
    compiler / HEScheduler.hir / OperationIndexMap.h
    ir / operation / If.ccir / operation / If.h
    ir / operation / If.ccir / OperationVisitor.h
    backend / builtin / kernel / IfLayer.hexec / IExecutors.h
    backend / builtin / kernel / IfLayer.hbackend / IPortableTensor.h
    ir / operation / InstanceNorm.ccir / operation / InstanceNorm.h
    ir / operation / InstanceNorm.ccir / OperationVisitor.h
    backend / builtin / IOTensor.hbackend / IPortableTensor.h
    exec / IPermuteFunction.ccexec / IFunction.h
    exec / IPermuteFunction.ccbackend / IPortableTensor.h
    exec / IPermuteFunction.ccutil / Utils.h
    exec / IPermuteFunction.hexec / IFunction.h
    exec / IPermuteFunction.hbackend / ITensor.h
    backend / IPortableTensor.ccbackend / IPortableTensor.h
    compiler / IScheduler.hcompiler / BackendResolver.h
    backend / ITensor.ccbackend / ITensor.h
    exec / Job.hbackend / Backend.h
    exec / Job.hexec / FunctionSequence.h
    exec / Job.hir / OperandIndexSequence.h
    exec / JSONExecTime.hbackend / Backend.h
    exec / JSONExecTime.hbackend / IConfig.h
    backend / builtin / KernelGenerator.ccexec / FunctionSequence.h
    backend / builtin / KernelGenerator.hexec / IExecutors.h
    backend / builtin / KernelGenerator.hbackend / basic / KernelGeneratorBase.h
    ir / operation / L2Normalization.ccir / operation / L2Normalization.h
    ir / operation / L2Normalization.ccir / OperationVisitor.h
    compiler / Linear.hcompiler / ILoweredGraph.h
    exec / LinearExecutor.hcompiler / CodeMap.h
    exec / LinearExecutor.hutil / TracingCtx.h
    ir / operation / LocalResponseNormalization.ccir / operation / LocalResponseNormalization.h
    ir / operation / LocalResponseNormalization.ccir / OperationVisitor.h
    ir / operation / LogSoftmax.ccir / operation / LogSoftmax.h
    ir / operation / LogSoftmax.ccir / OperationVisitor.h
    ir / operation / Loss.ccir / operation / Loss.h
    ir / train / operation / Loss.ccir / train / operation / Loss.h
    ir / operation / Loss.ccir / OperationVisitor.h
    ir / train / operation / Loss.ccir / OperationVisitor.h
    ir / train / operation / Loss.ccir / train / TrainableOperationVisitor.h
    compiler / train / pass / LossInsertionPass.ccir / train / operation / Loss.h
    compiler / train / pass / LossInsertionPass.ccir / train / TrainableGraph.h
    compiler / train / pass / LossInsertionPass.ccir / train / TrainingInfo.h
    compiler / LoweredGraph.ccbackend / Backend.h
    compiler / LoweredGraph.cccompiler / BackendResolver.h
    compiler / LoweredGraph.cccompiler / LoweredGraph.h
    compiler / pass / LoweredOperandPass.hcompiler / ILoweredGraph.h
    compiler / pass / LoweredOperationPass.hcompiler / ILoweredGraph.h
    ir / operation / LSTM.ccir / operation / LSTM.h
    ir / operation / LSTM.ccir / OperationVisitor.h
    compiler / ManualScheduler.ccbackend / Backend.h
    compiler / ManualScheduler.cccompiler / BackendManager.h
    compiler / ManualScheduler.ccbackend / IConfig.h
    compiler / ManualScheduler.ccir / OpCode.h
    compiler / ManualScheduler.ccir / Operations.Include.h
    compiler / ManualScheduler.hcompiler / Compiler.h
    ir / operation / MatrixBandPart.ccir / operation / MatrixBandPart.h
    ir / operation / MatrixBandPart.ccir / OperationVisitor.h
    backend / basic / MemoryManager.ccbackend / basic / MemoryManager.h
    backend / basic / MemoryPlanner.hbackend / basic / Allocator.h
    backend / basic / MemoryPlanner.hbackend / basic / IMemoryPlanner.h
    backend / basic / MemoryPlanner.hir / OperandIndexMap.h
    backend / basic / MemoryPlannerFactory.hbackend / basic / IMemoryPlanner.h
    dumper / h5 / MinMaxDumper.hexec / MinMaxMap.h
    exec / MinMaxRecorder.ccbackend / ITensor.h
    exec / MinMaxRecorder.hexec / MinMaxMap.h
    ir / MockNode.hir / OperandIndexSequence.h
    exec / feature / MockTensor.hbackend / ITensor.h
    loader / ModelLoader.ccloader / ILoader.h
    loader / ModelLoader.ccloader / ModelLoader.h
    compiler / MultiModelCompiler.cccompiler / StaticShapeInferer.h
    compiler / MultiModelCompiler.hcompiler / CompilerOptions.h
    compiler / MultiModelCompiler.hcompiler / ICompiler.h
    compiler / MultiModelCompiler.hir / NNPkg.h
    exec / MultiModelExecutors.hexec / IExecutors.h
    exec / MultiModelExecutors.hir / NNPkg.h
    compiler / pass / OddOutputPass.ccir / operation / Permute.h
    compiler / pass / OddOutputPass.ccutil / Utils.h
    ir / operation / OneHot.ccir / operation / OneHot.h
    ir / operation / OneHot.ccir / OperationVisitor.h
    ir / OpCode.ccir / OpCode.h
    ir / Operand.ccir / Operand.h
    ir / OperandIndexSequence.ccir / OperandIndexSequence.h
    dumper / dot / OperandNode.hir / Operand.h
    ir / Operands.ccir / Operands.h
    ir / OperationCloner.hir / OperationVisitor.h
    ir / OperationDumper.hir / OperationVisitor.h
    ir / OperationIndexSet.ccir / OperationIndexSet.h
    compiler / OperationLowerInfo.cccompiler / OperationLowerInfo.h
    dumper / dot / OperationNode.ccbackend / Backend.h
    dumper / dot / OperationNode.ccbackend / IConfig.h
    dumper / dot / OperationNode.hir / IOperation.h
    compiler / pass / OperationPass.ccir / IOperation.h
    ir / Operations.ccir / Operations.h
    ir / OperationValidator.hir / Operands.h
    ir / OperationValidator.hir / Operations.h
    ir / OperationValidator.hir / OperationVisitor.h
    ir / operation / Pack.ccir / OperationVisitor.h
    ir / operation / Pack.ccir / operation / Pack.h
    ir / operation / Pad.ccir / OperationVisitor.h
    ir / train / operation / Pad.ccir / OperationVisitor.h
    ir / train / operation / Pad.ccir / train / operation / Pad.h
    ir / operation / Pad.ccir / operation / Pad.h
    ir / train / operation / Pad.ccir / train / TrainableOperationVisitor.h
    ir / Padding.ccir / Padding.h
    ir / Padding.ccutil / Utils.h
    exec / ParallelExecutor.ccexec / IFunction.h
    exec / ParallelExecutor.hutil / TracingCtx.h
    exec / ParallelScheduler.hexec / IFunction.h
    compiler / pass / PermutationEliminationPass.ccbackend / Backend.h
    compiler / pass / PermutationEliminationPass.hir / OperationVisitor.h
    compiler / pass / PermutationInsertionPass.cccompiler / OperationLowerInfo.h
    compiler / pass / PermutationInsertionPass.ccir / operation / Permute.h
    compiler / pass / PermutationInsertionPass.hcompiler / BackendManager.h
    compiler / pass / PermutationInsertionPass.hir / Operand.h
    compiler / pass / PermutationInsertionPass.hcompiler / PermuteFactor.h
    compiler / pass / PermutationOperationPass.ccbackend / Backend.h
    compiler / pass / PermutationOperationPass.ccbackend / IConfig.h
    compiler / pass / PermutationOperationPass.hir / OperationVisitor.h
    ir / operation / Permute.ccir / OperationVisitor.h
    ir / train / operation / Permute.ccir / OperationVisitor.h
    ir / operation / Permute.ccir / operation / Permute.h
    ir / train / operation / Permute.ccir / train / operation / Permute.h
    ir / train / operation / Permute.ccir / train / TrainableOperationVisitor.h
    compiler / PermuteFactor.ccbackend / Backend.h
    compiler / PermuteFactor.cccompiler / PermuteFactor.h
    backend / builtin / train / kernel / PermuteLayer.hexec / train / ITrainableFunction.h
    ir / train / operation / Pool2D.ccir / OperationVisitor.h
    ir / operation / Pool2D.ccir / OperationVisitor.h
    ir / train / operation / Pool2D.ccir / train / operation / Pool2D.h
    ir / operation / Pool2D.ccir / operation / Pool2D.h
    ir / train / operation / Pool2D.ccir / train / TrainableOperationVisitor.h
    ir / operation / Pow.ccir / OperationVisitor.h
    ir / operation / Pow.ccir / operation / Pow.h
    ir / operation / PReLU.ccir / OperationVisitor.h
    ir / operation / PReLU.ccir / operation / PReLU.h
    odc / QuantizeManager.ccodc / QuantizeManager.h
    odc / QuantizerLoader.hodc / IQuantizer.h
    ir / operation / Range.ccir / OperationVisitor.h
    ir / operation / Range.ccir / operation / Range.h
    ir / operation / Rank.ccir / OperationVisitor.h
    ir / operation / Rank.ccir / operation / Rank.h
    exec / feature / nhwc / Reader.hbackend / ITensor.h
    exec / feature / nchw / Reader.hbackend / ITensor.h
    exec / feature / nhwc / Reader.hutil / Utils.h
    ir / train / operation / Reduce.ccir / OperationVisitor.h
    ir / operation / Reduce.ccir / OperationVisitor.h
    ir / train / operation / Reduce.ccir / train / operation / Reduce.h
    ir / operation / Reduce.ccir / operation / Reduce.h
    ir / train / operation / Reduce.ccir / train / TrainableOperationVisitor.h
    ir / train / operation / Reshape.ccir / OperationVisitor.h
    ir / operation / Reshape.ccir / OperationVisitor.h
    ir / train / operation / Reshape.ccir / train / operation / Reshape.h
    ir / operation / Reshape.ccir / operation / Reshape.h
    ir / train / operation / Reshape.ccir / train / TrainableOperationVisitor.h
    ir / operation / ResizeBilinear.ccir / OperationVisitor.h
    ir / operation / ResizeBilinear.ccir / operation / ResizeBilinear.h
    ir / operation / ResizeNearestNeighbor.ccir / OperationVisitor.h
    ir / operation / ResizeNearestNeighbor.ccir / operation / ResizeNearestNeighbor.h
    ir / operation / Reverse.ccir / OperationVisitor.h
    ir / operation / Reverse.ccir / operation / Reverse.h
    ir / operation / RNN.ccir / OperationVisitor.h
    ir / operation / RNN.ccir / operation / RNN.h
    ir / operation / Select.ccir / OperationVisitor.h
    ir / operation / Select.ccir / operation / Select.h
    ir / operation / Shape.ccir / OperationVisitor.h
    ir / operation / Shape.ccir / operation / Shape.h
    compiler / ShapeValidator.ccutil / Utils.h
    compiler / ShapeValidator.hir / OperationVisitor.h
    exec / SingleModelExecutors.hexec / IExecutors.h
    exec / SingleModelExecutors.hir / NNPkg.h
    ir / operation / Slice.ccir / OperationVisitor.h
    ir / operation / Slice.ccir / operation / Slice.h
    ir / operation / Softmax.ccir / OperationVisitor.h
    ir / train / operation / Softmax.ccir / OperationVisitor.h
    ir / train / operation / Softmax.ccir / train / operation / Softmax.h
    ir / operation / Softmax.ccir / operation / Softmax.h
    ir / train / operation / Softmax.ccir / train / TrainableOperationVisitor.h
    ir / operation / SpaceToBatchND.ccir / OperationVisitor.h
    ir / operation / SpaceToBatchND.ccir / operation / SpaceToBatchND.h
    ir / operation / SpaceToDepth.ccir / OperationVisitor.h
    ir / operation / SpaceToDepth.ccir / operation / SpaceToDepth.h
    ir / operation / Split.ccir / OperationVisitor.h
    ir / operation / Split.ccir / operation / Split.h
    ir / operation / SplitV.ccir / OperationVisitor.h
    ir / operation / SplitV.ccir / operation / SplitV.h
    ir / operation / SquaredDifference.ccir / OperationVisitor.h
    ir / operation / SquaredDifference.ccir / operation / SquaredDifference.h
    ir / operation / Squeeze.ccir / OperationVisitor.h
    ir / operation / Squeeze.ccir / operation / Squeeze.h
    ir / operation / StatelessRandomUniform.ccir / OperationVisitor.h
    ir / operation / StatelessRandomUniform.ccir / operation / StatelessRandomUniform.h
    compiler / StaticShapeInferer.ccutil / ShapeInference.h
    compiler / StaticShapeInferer.cccompiler / StaticShapeInferer.h
    backend / basic / StaticTensorManager.ccbackend / basic / DynamicTensorManager.h
    backend / basic / StaticTensorManager.ccbackend / basic / StaticTensorManager.h
    backend / basic / StaticTensorManager.ccbackend / basic / Tensor.h
    ir / operation / StridedSlice.ccir / OperationVisitor.h
    ir / operation / StridedSlice.ccir / operation / StridedSlice.h
    backend / basic / Tensor.ccbackend / basic / MemoryManager.h
    backend / basic / Tensor.ccbackend / basic / Tensor.h
    backend / builtin / Tensor.hbackend / basic / Tensor.h
    backend / basic / TensorBuilder.ccbackend / basic / TensorBuilder.h
    backend / builtin / TensorBuilder.hir / OperandIndexMap.h
    backend / builtin / TensorBuilder.hbackend / basic / StaticTensorManager.h
    backend / builtin / TensorBuilder.hbackend / basic / Tensor.h
    backend / builtin / TensorBuilder.hbackend / basic / TensorRegistry.h
    compiler / TensorRegistries.hbackend / Backend.h
    compiler / TensorRegistries.hbackend / BackendContext.h
    backend / builtin / TensorRegistry.hbackend / ITensorRegistry.h
    backend / builtin / TensorRegistry.hbackend / basic / TensorRegistry.h
    loader / tflite_loader.ccloader / tflite_loader.h
    ir / operation / Tile.ccir / OperationVisitor.h
    ir / operation / Tile.ccir / operation / Tile.h
    ir / operation / TopKV2.ccir / OperationVisitor.h
    ir / operation / TopKV2.ccir / operation / TopKV2.h
    loader / traininfo_loader.ccloader / traininfo_loader.h
    ir / operation / Transpose.ccir / OperationVisitor.h
    ir / operation / Transpose.ccir / operation / Transpose.h
    ir / operation / TransposeConv.ccir / OperationVisitor.h
    ir / operation / TransposeConv.ccir / operation / TransposeConv.h
    ir / TypeInfo.ccir / TypeInfo.h
    ir / operation / Unpack.ccir / OperationVisitor.h
    ir / operation / Unpack.ccir / operation / Unpack.h
    compiler / pass / UnusedOperandEliminationPass.ccutil / Set.h
    backend / builtin / UserTensor.ccutil / Exceptions.h
    backend / builtin / UserTensor.hbackend / IPortableTensor.h
    backend / builtin / UserTensor.hir / OperandInfo.h
    exec / feature / nhwc / View.hbackend / ITensor.h
    exec / feature / nchw / View.hbackend / ITensor.h
    exec / feature / nhwc / View.hutil / Utils.h
    ir / operation / While.ccir / OperationVisitor.h
    ir / operation / While.ccir / operation / While.h
    backend / builtin / kernel / WhileLayer.hexec / IExecutors.h
    backend / builtin / kernel / WhileLayer.hexec / IFunction.h
    backend / builtin / kernel / WhileLayer.hbackend / IPortableTensor.h
    backend / builtin / kernel / WhileLayer.hbackend / basic / MemoryManager.h
    backend / builtin / kernel / WhileLayer.hir / OperandIndexSequence.h
    exec / WorkQueue.hexec / IFunction.h
    dumper / text / GraphDumper.cccompiler / LoweredGraph.h
    dumper / text / GraphDumper.cccompiler / train / LoweredTrainableGraph.h
    backend / basic / train / TrainableTensor.ccbackend / basic / train / TrainableTensor.h
    backend / builtin / train / BackendContext.ccbackend / basic / train / TrainableBackendContextHelpers.h
    backend / builtin / train / BackendContext.ccexec / FunctionSequence.h
    backend / builtin / train / BackendContext.hbackend / train / TrainableBackendContext.h
    backend / builtin / train / KernelGenerator.hbackend / train / KernelGeneratorBase.h
    backend / builtin / train / KernelGenerator.hexec / train / TrainableFnSequence.h
    backend / builtin / train / KernelGenerator.hir / train / TrainableGraph.h
    backend / builtin / train / Tensor.hbackend / basic / train / TrainableTensor.h
    backend / builtin / train / TensorRegistry.hbackend / train / ITensorRegistry.h
    compiler / train / LoweredTrainableGraph.cccompiler / train / LoweredTrainableGraph.h
    compiler / train / LoweredTrainableGraph.ccbackend / Backend.h
    compiler / train / LoweredTrainableGraph.ccbackend / train / ITrainableBackend.h
    compiler / train / LoweredTrainableGraph.cccompiler / BackendResolver.h
    compiler / train / StaticBackwardShapeInferer.ccutil / ShapeInference.h
    compiler / train / StaticBackwardShapeInferer.hir / train / TrainableOperationVisitor.h
    compiler / train / StaticBackwardShapeInferer.hcompiler / train / LoweredTrainableGraph.h
    compiler / train / TensorRegistries.hbackend / train / ITensorRegistry.h
    compiler / train / TensorRegistries.hbackend / train / TrainableBackendContext.h
    compiler / train / TrainableOperationConverter.ccir / train / Operations.Include.h
    compiler / train / TrainableOperationConverter.ccutil / Utils.h
    compiler / train / TrainableOperationConverter.hir / train / TrainingInfo.h
    compiler / train / TrainingCompiler.cccompiler / StaticShapeInferer.h
    compiler / train / TrainingCompiler.cccompiler / train / LoweredTrainableGraph.h
    compiler / train / TrainingCompiler.ccir / train / TrainableGraph.h
    compiler / train / TrainingCompiler.hcompiler / CompilerOptions.h
    compiler / train / TrainingCompiler.hcompiler / ICompiler.h
    compiler / train / TrainingCompiler.hir / NNPkg.h
    compiler / train / TrainingCompiler.hir / train / TrainingInfo.h
    compiler / train / UntrainableOperationConverter.ccir / train / operation / UntrainableOperation.h
    compiler / train / UntrainableOperationConverter.hir / Operations.Include.h
    compiler / train / UntrainableOperationConverter.hir / OperationVisitor.h
    compiler / train / UntrainableOperationConverter.hir / train / TrainableGraph.h
    exec / train / TrainableExecutor.hexec / IExecutor.h
    exec / train / TrainableExecutor.hbackend / train / TrainableBackendContext.h
    exec / train / TrainableExecutor.hcompiler / train / TrainableCodeMap.h
    exec / train / TrainableExecutor.hcompiler / train / LoweredTrainableGraph.h
    exec / train / TrainableExecutor.hir / train / LossInfo.h
    exec / train / TrainableExecutor.hutil / TracingCtx.h
    exec / train / TrainableExecutors.hexec / IExecutors.h
    exec / train / TrainableExecutors.hir / NNPkg.h
    exec / train / TrainableFnSequence.ccexec / train / TrainableFnSequence.h
    ir / train / LossCode.ccir / train / LossCode.h
    ir / train / OptimizerCode.ccir / train / OptimizerCode.h
    ir / train / TrainableGraph.ccir / train / TrainableGraph.h
    ir / train / TrainableGraph.ccutil / Utils.h
    ir / train / TrainableGraph.ccutil / Set.h
    ir / train / TrainingInfo.ccir / train / TrainingInfo.h
    util / EventCollector.hutil / TracingCtx.h
    util / EventRecorder.hutil / TracingCtx.h
    util / ShapeInference.ccutil / Utils.h
    util / ShapeInference.ccir / InternalType.h
    util / ShapeInference.ccutil / ShapeInference.h
    util / TracingCtx.ccutil / TracingCtx.h
    ir / verifier / Verifier.ccir / OperationIndexMap.h
    -

    tf2tflite → exo Relation

    File in compiler/tf2tfliteIncludes file in compiler/exo
    src / Driver.cppinclude / exo / LoggingContext.h
    src / Driver.cppinclude / exo / TFLExporter.h
    +

    tf2tflite → exo Relation

    File in compiler/tf2tfliteIncludes file in compiler/exo
    src / Driver.cppinclude / exo / LoggingContext.h
    src / Driver.cppinclude / exo / TFLExporter.h
    -

    tf2tflite → hermes-std Relation

    File in compiler/tf2tfliteIncludes file in compiler/hermes-std
    src / Driver.cppinclude / hermes / ConsoleReporter.h
    src / Driver.cppinclude / hermes / EnvConfig.h
    +

    tf2tflite → hermes-std Relation

    File in compiler/tf2tfliteIncludes file in compiler/hermes-std
    src / Driver.cppinclude / hermes / ConsoleReporter.h
    src / Driver.cppinclude / hermes / EnvConfig.h
    -

    tf2tflite → locop Relation

    File in compiler/tf2tfliteIncludes file in compiler/locop
    src / Driver.cppinclude / locop / FormattedGraph.h
    +

    tf2tflite → locop Relation

    File in compiler/tf2tfliteIncludes file in compiler/locop
    src / Driver.cppinclude / locop / FormattedGraph.h
    -

    tf2tflite → moco-log Relation

    File in compiler/tf2tfliteIncludes file in compiler/moco-log
    src / Driver.cppinclude / moco / LoggingContext.h
    +

    tf2tflite → moco-log Relation

    File in compiler/tf2tfliteIncludes file in compiler/moco-log
    src / Driver.cppinclude / moco / LoggingContext.h
    -

    tf2tflite → moco-tf Relation

    File in compiler/tf2tfliteIncludes file in compiler/moco-tf
    src / CustomopConfLoader.hinclude / moco / tf / Frontend.h
    src / Driver.cppinclude / moco / tf / Frontend.h
    +

    tf2tflite → moco-tf Relation

    File in compiler/tf2tfliteIncludes file in compiler/moco-tf
    src / CustomopConfLoader.hinclude / moco / tf / Frontend.h
    src / Driver.cppinclude / moco / tf / Frontend.h
    -

    tf2tflite → tfinfo Relation

    File in compiler/tf2tfliteIncludes file in compiler/tfinfo
    src / Driver.cppinclude / nnkit / support / tftestinfo / TensorInfoParser.h
    +

    tf2tflite → tfinfo Relation

    File in compiler/tf2tfliteIncludes file in compiler/tfinfo
    src / Driver.cppinclude / nnkit / support / tftestinfo / TensorInfoParser.h
    -

    tfkit → cli Relation

    File in compiler/tfkitIncludes file in compiler/cli
    src / ConvertCommand.hppinclude / cli / Command.h
    src / DecodeCommand.hppinclude / cli / Command.h
    src / EncodeCommand.hppinclude / cli / Command.h
    src / Main.cppinclude / cli / App.h
    src / PackCommand.hppinclude / cli / Command.h
    src / UnpackCommand.hppinclude / cli / Command.h
    +

    tfkit → cli Relation

    File in compiler/tfkitIncludes file in compiler/cli
    src / ConvertCommand.hppinclude / cli / Command.h
    src / DecodeCommand.hppinclude / cli / Command.h
    src / EncodeCommand.hppinclude / cli / Command.h
    src / Main.cppinclude / cli / App.h
    src / PackCommand.hppinclude / cli / Command.h
    src / UnpackCommand.hppinclude / cli / Command.h
    -

    tfl-inspect → arser Relation

    File in compiler/tfl-inspectIncludes file in compiler/arser
    driver / Driver.cppinclude / arser / arser.h
    +

    tfl-inspect → arser Relation

    File in compiler/tfl-inspectIncludes file in compiler/arser
    driver / Driver.cppinclude / arser / arser.h
    -

    tfl-inspect → foder Relation

    File in compiler/tfl-inspectIncludes file in compiler/foder
    driver / Driver.cppinclude / foder / FileLoader.h
    +

    tfl-inspect → foder Relation

    File in compiler/tfl-inspectIncludes file in compiler/foder
    driver / Driver.cppinclude / foder / FileLoader.h
    -

    tfl-verify → arser Relation

    File in compiler/tfl-verifyIncludes file in compiler/arser
    src / Driver.cppinclude / arser / arser.h
    +

    tfl-verify → arser Relation

    File in compiler/tfl-verifyIncludes file in compiler/arser
    src / Driver.cppinclude / arser / arser.h
    -

    tflchef → arser Relation

    File in compiler/tflchefIncludes file in compiler/arser
    tools / file / Driver.cppinclude / arser / arser.h
    tools / reverse / Driver.cppinclude / arser / arser.h
    +

    tflchef → arser Relation

    File in compiler/tflchefIncludes file in compiler/arser
    tools / file / Driver.cppinclude / arser / arser.h
    tools / reverse / Driver.cppinclude / arser / arser.h
    -

    tflchef → foder Relation

    File in compiler/tflchefIncludes file in compiler/foder
    tools / reverse / Driver.cppinclude / foder / FileLoader.h
    +

    tflchef → foder Relation

    File in compiler/tflchefIncludes file in compiler/foder
    tools / reverse / Driver.cppinclude / foder / FileLoader.h
    -

    tflchef → souschef Relation

    File in compiler/tflchefIncludes file in compiler/souschef
    core / src / ModelChef.cppinclude / souschef / DataChefs.h
    core / src / ModelChef.cppinclude / souschef / Dataset.h
    core / src / ModelChef.cppinclude / souschef / Dims.h
    core / src / ModelChef.cppinclude / souschef / RangedArguments.h
    core / src / ModelChef.cppinclude / souschef / Registry.h
    tflite / src / TFliteImport.hinclude / souschef / TensorFiller.h
    +

    tflchef → souschef Relation

    File in compiler/tflchefIncludes file in compiler/souschef
    core / src / ModelChef.cppinclude / souschef / DataChefs.h
    core / src / ModelChef.cppinclude / souschef / Dataset.h
    core / src / ModelChef.cppinclude / souschef / Dims.h
    core / src / ModelChef.cppinclude / souschef / RangedArguments.h
    core / src / ModelChef.cppinclude / souschef / Registry.h
    tflite / src / TFliteImport.hinclude / souschef / TensorFiller.h
    -

    tfldump → arser Relation

    File in compiler/tfldumpIncludes file in compiler/arser
    driver / Driver.cppinclude / arser / arser.h
    +

    tfldump → arser Relation

    File in compiler/tfldumpIncludes file in compiler/arser
    driver / Driver.cppinclude / arser / arser.h
    -

    tfldump → foder Relation

    File in compiler/tfldumpIncludes file in compiler/foder
    driver / Driver.cppinclude / foder / FileLoader.h
    +

    tfldump → foder Relation

    File in compiler/tfldumpIncludes file in compiler/foder
    driver / Driver.cppinclude / foder / FileLoader.h
    -

    tflite2circle → arser Relation

    File in compiler/tflite2circleIncludes file in compiler/arser
    driver / Driver.cppinclude / arser / arser.h
    +

    tflite2circle → arser Relation

    File in compiler/tflite2circleIncludes file in compiler/arser
    driver / Driver.cppinclude / arser / arser.h
    -

    tflite2circle → vconone Relation

    File in compiler/tflite2circleIncludes file in compiler/vconone
    driver / Driver.cppinclude / vconone / vconone.h
    +

    tflite2circle → vconone Relation

    File in compiler/tflite2circleIncludes file in compiler/vconone
    driver / Driver.cppinclude / vconone / vconone.h
    -

    tools → arser Relation

    File in compiler/circlechef/toolsIncludes file in compiler/arser
    file / Driver.cppinclude / arser / arser.h
    reverse / Driver.cppinclude / arser / arser.h
    +

    tools → arser Relation

    File in compiler/circlechef/toolsIncludes file in compiler/arser
    file / Driver.cppinclude / arser / arser.h
    reverse / Driver.cppinclude / arser / arser.h
    -

    tools → circle Relation

    File in compiler/circlechef/toolsIncludes file in compiler/circlechef/circle
    reverse / Driver.cppinclude / circlechef / RecipeChef.h
    +

    tools → circle Relation

    File in compiler/circlechef/toolsIncludes file in compiler/circlechef/circle
    reverse / Driver.cppinclude / circlechef / RecipeChef.h
    -

    tools → core Relation

    File in compiler/circlechef/toolsIncludes file in compiler/circlechef/core
    console / Driver.cppinclude / circlechef / ModelChef.h
    file / Driver.cppinclude / circlechef / ModelChef.h
    +

    tools → core Relation

    File in compiler/circlechef/toolsIncludes file in compiler/circlechef/core
    console / Driver.cppinclude / circlechef / ModelChef.h
    file / Driver.cppinclude / circlechef / ModelChef.h
    -

    tools → foder Relation

    File in compiler/circlechef/toolsIncludes file in compiler/foder
    reverse / Driver.cppinclude / foder / FileLoader.h
    +

    tools → foder Relation

    File in compiler/circlechef/toolsIncludes file in compiler/foder
    reverse / Driver.cppinclude / foder / FileLoader.h
    -

    tools → arser Relation

    File in compiler/tflchef/toolsIncludes file in compiler/arser
    file / Driver.cppinclude / arser / arser.h
    reverse / Driver.cppinclude / arser / arser.h
    +

    tools → arser Relation

    File in compiler/tflchef/toolsIncludes file in compiler/arser
    file / Driver.cppinclude / arser / arser.h
    reverse / Driver.cppinclude / arser / arser.h
    -

    tools → core Relation

    File in compiler/tflchef/toolsIncludes file in compiler/tflchef/core
    console / Driver.cppinclude / tflchef / ModelChef.h
    file / Driver.cppinclude / tflchef / ModelChef.h
    +

    tools → core Relation

    File in compiler/tflchef/toolsIncludes file in compiler/tflchef/core
    console / Driver.cppinclude / tflchef / ModelChef.h
    file / Driver.cppinclude / tflchef / ModelChef.h
    -

    tools → foder Relation

    File in compiler/tflchef/toolsIncludes file in compiler/foder
    reverse / Driver.cppinclude / foder / FileLoader.h
    +

    tools → foder Relation

    File in compiler/tflchef/toolsIncludes file in compiler/foder
    reverse / Driver.cppinclude / foder / FileLoader.h
    -

    tools → tflite Relation

    File in compiler/tflchef/toolsIncludes file in compiler/tflchef/tflite
    reverse / Driver.cppinclude / tflchef / RecipeChef.h
    +

    tools → tflite Relation

    File in compiler/tflchef/toolsIncludes file in compiler/tflchef/tflite
    reverse / Driver.cppinclude / tflchef / RecipeChef.h
    diff --git a/dir_10374e42c958acf55e0cfe9bb7a8eafd.js b/dir_10374e42c958acf55e0cfe9bb7a8eafd.js index cb18e6429d6..b7917b2678d 100644 --- a/dir_10374e42c958acf55e0cfe9bb7a8eafd.js +++ b/dir_10374e42c958acf55e0cfe9bb7a8eafd.js @@ -1,4 +1,4 @@ var dir_10374e42c958acf55e0cfe9bb7a8eafd = [ - [ "Driver.cpp", "compiler_2circle-operator_2driver_2driver_8cpp.html", "compiler_2circle-operator_2driver_2driver_8cpp" ] + [ "Driver.cpp", "compiler_2circle-operator_2driver_2_driver_8cpp.html", "compiler_2circle-operator_2driver_2_driver_8cpp" ] ]; \ No newline at end of file diff --git a/dir_1411cc6ff3303e66005d7d446aceea89.html b/dir_1411cc6ff3303e66005d7d446aceea89.html index 06171761c8d..83dda12887d 100644 --- a/dir_1411cc6ff3303e66005d7d446aceea89.html +++ b/dir_1411cc6ff3303e66005d7d446aceea89.html @@ -107,11 +107,11 @@ - + - + diff --git a/dir_1411cc6ff3303e66005d7d446aceea89.js b/dir_1411cc6ff3303e66005d7d446aceea89.js index 840550b6891..9042ee52fcd 100644 --- a/dir_1411cc6ff3303e66005d7d446aceea89.js +++ b/dir_1411cc6ff3303e66005d7d446aceea89.js @@ -1,8 +1,8 @@ var dir_1411cc6ff3303e66005d7d446aceea89 = [ - [ "Driver.cpp", "compiler_2nnc_2driver_2driver_8cpp.html", null ], + [ "Driver.cpp", "compiler_2nnc_2driver_2_driver_8cpp.html", null ], [ "Driver.h", "_driver_8h.html", "_driver_8h" ], - [ "main.cpp", "compiler_2nnc_2driver_2_main_8cpp.html", "compiler_2nnc_2driver_2_main_8cpp" ], + [ "main.cpp", "compiler_2nnc_2driver_2main_8cpp.html", "compiler_2nnc_2driver_2main_8cpp" ], [ "Options.cpp", "_options_8cpp.html", "_options_8cpp" ], [ "Options.h", "_options_8h.html", "_options_8h" ] ]; \ No newline at end of file diff --git a/dir_170ecd312ac450ef4de912e98999afc3.html b/dir_170ecd312ac450ef4de912e98999afc3.html index 6feb214bdb1..461b7a5a449 100644 --- a/dir_170ecd312ac450ef4de912e98999afc3.html +++ b/dir_170ecd312ac450ef4de912e98999afc3.html @@ -107,7 +107,7 @@

    Files

     Driver.cpp
     Driver.cpp
     
     Driver.h
     
     main.cpp
     main.cpp
     
     Options.cpp
     
    - + diff --git a/dir_170ecd312ac450ef4de912e98999afc3.js b/dir_170ecd312ac450ef4de912e98999afc3.js index c298c18bcbb..08d30e09ffc 100644 --- a/dir_170ecd312ac450ef4de912e98999afc3.js +++ b/dir_170ecd312ac450ef4de912e98999afc3.js @@ -1,5 +1,5 @@ var dir_170ecd312ac450ef4de912e98999afc3 = [ - [ "Driver.cpp", "onert-micro_2eval-driver_2driver_8cpp.html", "onert-micro_2eval-driver_2driver_8cpp" ], + [ "Driver.cpp", "onert-micro_2eval-driver_2_driver_8cpp.html", "onert-micro_2eval-driver_2_driver_8cpp" ], [ "TrainingDriver.cpp", "_training_driver_8cpp.html", "_training_driver_8cpp" ] ]; \ No newline at end of file diff --git a/dir_183d9bd23eebf5b15077c0742bec8667.html b/dir_183d9bd23eebf5b15077c0742bec8667.html index 69192050d98..b8528bc3259 100644 --- a/dir_183d9bd23eebf5b15077c0742bec8667.html +++ b/dir_183d9bd23eebf5b15077c0742bec8667.html @@ -113,7 +113,7 @@

    Files

     Driver.cpp
     Driver.cpp
     
     TrainingDriver.cpp
     
    - +

    Files

     Driver.cpp
     Driver.cpp
     
    diff --git a/dir_183d9bd23eebf5b15077c0742bec8667.js b/dir_183d9bd23eebf5b15077c0742bec8667.js index feb007832b7..59a3ada28a2 100644 --- a/dir_183d9bd23eebf5b15077c0742bec8667.js +++ b/dir_183d9bd23eebf5b15077c0742bec8667.js @@ -1,4 +1,4 @@ var dir_183d9bd23eebf5b15077c0742bec8667 = [ - [ "Driver.cpp", "compiler_2circlechef_2tools_2reverse_2driver_8cpp.html", "compiler_2circlechef_2tools_2reverse_2driver_8cpp" ] + [ "Driver.cpp", "compiler_2circlechef_2tools_2reverse_2_driver_8cpp.html", "compiler_2circlechef_2tools_2reverse_2_driver_8cpp" ] ]; \ No newline at end of file diff --git a/dir_1c77137021fcde78e70d9b6fbaf58548.html b/dir_1c77137021fcde78e70d9b6fbaf58548.html index 326b8948af6..5ac8dbff708 100644 --- a/dir_1c77137021fcde78e70d9b6fbaf58548.html +++ b/dir_1c77137021fcde78e70d9b6fbaf58548.html @@ -180,7 +180,7 @@    L2Pool2D.cpp   - LeakyRelu.cpp + LeakyRelu.cpp    Less.cpp   diff --git a/dir_1c77137021fcde78e70d9b6fbaf58548.js b/dir_1c77137021fcde78e70d9b6fbaf58548.js index 60a33ca50f3..c6ec669ed17 100644 --- a/dir_1c77137021fcde78e70d9b6fbaf58548.js +++ b/dir_1c77137021fcde78e70d9b6fbaf58548.js @@ -35,7 +35,7 @@ var dir_1c77137021fcde78e70d9b6fbaf58548 = [ "InstanceNorm.cpp", "compiler_2luci-interpreter_2src_2loader_2nodes_2_instance_norm_8cpp.html", "compiler_2luci-interpreter_2src_2loader_2nodes_2_instance_norm_8cpp" ], [ "L2Normalize.cpp", "compiler_2luci-interpreter_2src_2loader_2nodes_2_l2_normalize_8cpp.html", "compiler_2luci-interpreter_2src_2loader_2nodes_2_l2_normalize_8cpp" ], [ "L2Pool2D.cpp", "compiler_2luci-interpreter_2src_2loader_2nodes_2_l2_pool2_d_8cpp.html", "compiler_2luci-interpreter_2src_2loader_2nodes_2_l2_pool2_d_8cpp" ], - [ "LeakyRelu.cpp", "compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_re_l_u_8cpp.html", "compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_re_l_u_8cpp" ], + [ "LeakyRelu.cpp", "compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_relu_8cpp.html", "compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_relu_8cpp" ], [ "Less.cpp", "compiler_2luci-interpreter_2src_2loader_2nodes_2_less_8cpp.html", "compiler_2luci-interpreter_2src_2loader_2nodes_2_less_8cpp" ], [ "LessEqual.cpp", "compiler_2luci-interpreter_2src_2loader_2nodes_2_less_equal_8cpp.html", "compiler_2luci-interpreter_2src_2loader_2nodes_2_less_equal_8cpp" ], [ "LocalResponseNormalization.cpp", "compiler_2luci-interpreter_2src_2loader_2nodes_2_local_response_normalization_8cpp.html", "compiler_2luci-interpreter_2src_2loader_2nodes_2_local_response_normalization_8cpp" ], diff --git a/dir_28d3de3e0f2b67cb3b959accb5527250.html b/dir_28d3de3e0f2b67cb3b959accb5527250.html index 22199e4bbaf..eca86c277d2 100644 --- a/dir_28d3de3e0f2b67cb3b959accb5527250.html +++ b/dir_28d3de3e0f2b67cb3b959accb5527250.html @@ -173,7 +173,7 @@    HardSwish.h   - LeakyReLU.cpp + LeakyReLU.cpp    LeakyReLU.h   diff --git a/dir_28d3de3e0f2b67cb3b959accb5527250.js b/dir_28d3de3e0f2b67cb3b959accb5527250.js index 34e72dd0e49..a0989305c74 100644 --- a/dir_28d3de3e0f2b67cb3b959accb5527250.js +++ b/dir_28d3de3e0f2b67cb3b959accb5527250.js @@ -33,7 +33,7 @@ var dir_28d3de3e0f2b67cb3b959accb5527250 = [ "Greater.h", "mir-interpreter_2src_2ops_2_greater_8h.html", "mir-interpreter_2src_2ops_2_greater_8h" ], [ "HardSwish.cpp", "mir-interpreter_2src_2ops_2_hard_swish_8cpp.html", "mir-interpreter_2src_2ops_2_hard_swish_8cpp" ], [ "HardSwish.h", "mir-interpreter_2src_2ops_2_hard_swish_8h.html", "mir-interpreter_2src_2ops_2_hard_swish_8h" ], - [ "LeakyReLU.cpp", "compiler_2mir-interpreter_2src_2ops_2_leaky_re_l_u_8cpp.html", "compiler_2mir-interpreter_2src_2ops_2_leaky_re_l_u_8cpp" ], + [ "LeakyReLU.cpp", "compiler_2mir-interpreter_2src_2ops_2_leaky_relu_8cpp.html", "compiler_2mir-interpreter_2src_2ops_2_leaky_relu_8cpp" ], [ "LeakyReLU.h", "compiler_2mir-interpreter_2src_2ops_2_leaky_re_l_u_8h.html", "compiler_2mir-interpreter_2src_2ops_2_leaky_re_l_u_8h" ], [ "Less.cpp", "compiler_2mir-interpreter_2src_2ops_2_less_8cpp.html", "compiler_2mir-interpreter_2src_2ops_2_less_8cpp" ], [ "Less.h", "mir-interpreter_2src_2ops_2_less_8h.html", "mir-interpreter_2src_2ops_2_less_8h" ], diff --git a/dir_2e876fa73ba95229698410ffe1f1b2c4.html b/dir_2e876fa73ba95229698410ffe1f1b2c4.html index 5ae16910723..cf7f42380d3 100644 --- a/dir_2e876fa73ba95229698410ffe1f1b2c4.html +++ b/dir_2e876fa73ba95229698410ffe1f1b2c4.html @@ -110,7 +110,7 @@ - + diff --git a/dir_2e876fa73ba95229698410ffe1f1b2c4.js b/dir_2e876fa73ba95229698410ffe1f1b2c4.js index 4210d5dae34..6e0f167908f 100644 --- a/dir_2e876fa73ba95229698410ffe1f1b2c4.js +++ b/dir_2e876fa73ba95229698410ffe1f1b2c4.js @@ -1,6 +1,6 @@ var dir_2e876fa73ba95229698410ffe1f1b2c4 = [ - [ "Driver.cpp", "compiler_2circle-verify_2src_2driver_8cpp.html", "compiler_2circle-verify_2src_2driver_8cpp" ], + [ "Driver.cpp", "compiler_2circle-verify_2src_2_driver_8cpp.html", "compiler_2circle-verify_2src_2_driver_8cpp" ], [ "VerifyFlatBuffers.cpp", "circle-verify_2src_2_verify_flat_buffers_8cpp.html", null ], [ "VerifyFlatBuffers.h", "circle-verify_2src_2_verify_flat_buffers_8h.html", "circle-verify_2src_2_verify_flat_buffers_8h" ] ]; \ No newline at end of file diff --git a/dir_317040483c027171adfc761841c1f827.html b/dir_317040483c027171adfc761841c1f827.html index 9dad9b0cc91..c3dfaad8d71 100644 --- a/dir_317040483c027171adfc761841c1f827.html +++ b/dir_317040483c027171adfc761841c1f827.html @@ -203,7 +203,7 @@ - + diff --git a/dir_317040483c027171adfc761841c1f827.js b/dir_317040483c027171adfc761841c1f827.js index 194eef3cd49..d44a32d6106 100644 --- a/dir_317040483c027171adfc761841c1f827.js +++ b/dir_317040483c027171adfc761841c1f827.js @@ -45,7 +45,7 @@ var dir_317040483c027171adfc761841c1f827 = [ "KernelBuilder.h", "onert-micro_2luci-interpreter_2src_2kernels_2_kernel_builder_8h.html", "onert-micro_2luci-interpreter_2src_2kernels_2_kernel_builder_8h" ], [ "L2Normalize.cpp", "onert-micro_2luci-interpreter_2src_2kernels_2_l2_normalize_8cpp.html", "onert-micro_2luci-interpreter_2src_2kernels_2_l2_normalize_8cpp" ], [ "L2Pool2D.cpp", "onert-micro_2luci-interpreter_2src_2kernels_2_l2_pool2_d_8cpp.html", "onert-micro_2luci-interpreter_2src_2kernels_2_l2_pool2_d_8cpp" ], - [ "LeakyRelu.cpp", "onert-micro_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp.html", "onert-micro_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp" ], + [ "LeakyRelu.cpp", "onert-micro_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp.html", "onert-micro_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp" ], [ "Less.cpp", "onert-micro_2luci-interpreter_2src_2kernels_2_less_8cpp.html", "onert-micro_2luci-interpreter_2src_2kernels_2_less_8cpp" ], [ "LessEqual.cpp", "onert-micro_2luci-interpreter_2src_2kernels_2_less_equal_8cpp.html", "onert-micro_2luci-interpreter_2src_2kernels_2_less_equal_8cpp" ], [ "LocalResponseNormalization.cpp", "onert-micro_2luci-interpreter_2src_2kernels_2_local_response_normalization_8cpp.html", null ], diff --git a/dir_400e0edcdf6be17ec9434021c36ffcef.html b/dir_400e0edcdf6be17ec9434021c36ffcef.html index 3055ed8066f..ed569a70d65 100644 --- a/dir_400e0edcdf6be17ec9434021c36ffcef.html +++ b/dir_400e0edcdf6be17ec9434021c36ffcef.html @@ -130,7 +130,7 @@ - + diff --git a/dir_400e0edcdf6be17ec9434021c36ffcef.js b/dir_400e0edcdf6be17ec9434021c36ffcef.js index d521f36a4ea..8b8a33645aa 100644 --- a/dir_400e0edcdf6be17ec9434021c36ffcef.js +++ b/dir_400e0edcdf6be17ec9434021c36ffcef.js @@ -4,7 +4,7 @@ var dir_400e0edcdf6be17ec9434021c36ffcef = [ "BinaryArithmeticOps.h", "optimized_2_binary_arithmetic_ops_8h.html", "optimized_2_binary_arithmetic_ops_8h" ], [ "Conv.h", "compute_2cker_2include_2cker_2operation_2optimized_2_conv_8h.html", "compute_2cker_2include_2cker_2operation_2optimized_2_conv_8h" ], [ "DepthwiseConvFloat.h", "_depthwise_conv_float_8h.html", "_depthwise_conv_float_8h" ], - [ "DepthwiseConvUint8.h", "optimized_2_depthwise_conv_uint8_8h.html", "optimized_2_depthwise_conv_uint8_8h" ], + [ "DepthwiseConvUint8.h", "optimized_2_depthwise_conv_u_int8_8h.html", "optimized_2_depthwise_conv_u_int8_8h" ], [ "Gemm.h", "compute_2cker_2include_2cker_2operation_2optimized_2_gemm_8h.html", null ], [ "OptimizedUtils.h", "_optimized_utils_8h.html", "_optimized_utils_8h" ] ]; \ No newline at end of file diff --git a/dir_462b2f857f313bfe247639f3a0b6ad02.html b/dir_462b2f857f313bfe247639f3a0b6ad02.html index e8e63b6f341..9625e0d7f53 100644 --- a/dir_462b2f857f313bfe247639f3a0b6ad02.html +++ b/dir_462b2f857f313bfe247639f3a0b6ad02.html @@ -107,8 +107,8 @@

    Files

     Driver.cpp
     Driver.cpp
     
     VerifyFlatBuffers.cpp
     
     
     L2Pool2D.cpp
     
     LeakyRelu.cpp
     LeakyRelu.cpp
     
     Less.cpp
     
     
     DepthwiseConvFloat.h
     
     DepthwiseConvUint8.h
     DepthwiseConvUint8.h
     
     Gemm.h
     
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     This file contains helper function of assertion.
     
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    Files

    - Driver.cpp + Driver.cpp    VerifyFlatBuffers.cpp   diff --git a/dir_66ec25605df8742e3d996babd1649759.js b/dir_66ec25605df8742e3d996babd1649759.js index de9efa8dfa0..a1b9607899d 100644 --- a/dir_66ec25605df8742e3d996babd1649759.js +++ b/dir_66ec25605df8742e3d996babd1649759.js @@ -1,6 +1,6 @@ var dir_66ec25605df8742e3d996babd1649759 = [ - [ "Driver.cpp", "compiler_2tfl-verify_2src_2driver_8cpp.html", "compiler_2tfl-verify_2src_2driver_8cpp" ], + [ "Driver.cpp", "compiler_2tfl-verify_2src_2_driver_8cpp.html", "compiler_2tfl-verify_2src_2_driver_8cpp" ], [ "VerifyFlatBuffers.cpp", "tfl-verify_2src_2_verify_flat_buffers_8cpp.html", null ], [ "VerifyFlatBuffers.h", "tfl-verify_2src_2_verify_flat_buffers_8h.html", "tfl-verify_2src_2_verify_flat_buffers_8h" ] ]; \ No newline at end of file diff --git a/dir_6a106e20e498b89b0f92e39134956f72.html b/dir_6a106e20e498b89b0f92e39134956f72.html index ea215681377..326a2476ba2 100644 --- a/dir_6a106e20e498b89b0f92e39134956f72.html +++ b/dir_6a106e20e498b89b0f92e39134956f72.html @@ -110,7 +110,7 @@ - +

    Files

     Driver.cpp
     Driver.cpp
     
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    Files

     Driver.cpp
     Driver.cpp
     
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    - Driver.cpp + Driver.cpp   diff --git a/dir_75d05ee96107761a811e8ce2ec6e124e.js b/dir_75d05ee96107761a811e8ce2ec6e124e.js index 33eaa7d272b..8d0191d0881 100644 --- a/dir_75d05ee96107761a811e8ce2ec6e124e.js +++ b/dir_75d05ee96107761a811e8ce2ec6e124e.js @@ -1,4 +1,4 @@ var dir_75d05ee96107761a811e8ce2ec6e124e = [ - [ "Driver.cpp", "compiler_2tflchef_2tools_2reverse_2driver_8cpp.html", "compiler_2tflchef_2tools_2reverse_2driver_8cpp" ] + [ "Driver.cpp", "compiler_2tflchef_2tools_2reverse_2_driver_8cpp.html", "compiler_2tflchef_2tools_2reverse_2_driver_8cpp" ] ]; \ No newline at end of file diff --git a/dir_766c59b432976acfaa20fc6eea0d0a70.html b/dir_766c59b432976acfaa20fc6eea0d0a70.html index f6eb6e5141c..b67c046834f 100644 --- a/dir_766c59b432976acfaa20fc6eea0d0a70.html +++ b/dir_766c59b432976acfaa20fc6eea0d0a70.html @@ -107,7 +107,7 @@ - +

    Files

     driver.cpp
     driver.cpp
     
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    Files

     Driver.cpp
     Driver.cpp
     
     PModelsRunner.cpp
     
    - +

    Files

     Driver.cpp
     Driver.cpp
     
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    Files

     Driver.cpp
     Driver.cpp
     
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     Driver.cpp
     
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     caffe.h   - dims.h + dims.h    nnapi.h   diff --git a/dir_91944ee399012545076a2994a0fbfd42.js b/dir_91944ee399012545076a2994a0fbfd42.js index 73d153a5caa..7d189dcbef3 100644 --- a/dir_91944ee399012545076a2994a0fbfd42.js +++ b/dir_91944ee399012545076a2994a0fbfd42.js @@ -1,7 +1,7 @@ var dir_91944ee399012545076a2994a0fbfd42 = [ [ "caffe.h", "caffe_8h.html", "caffe_8h" ], - [ "dims.h", "morph_2include_2morph_2_dims_8h.html", "morph_2include_2morph_2_dims_8h" ], + [ "dims.h", "morph_2include_2morph_2dims_8h.html", "morph_2include_2morph_2dims_8h" ], [ "nnapi.h", "nnapi_8h.html", "nnapi_8h" ], [ "tflite.h", "tflite_8h.html", "tflite_8h" ] ]; \ No newline at end of file diff --git a/dir_968ae1bcefb3b734981f0a9bc54728b8.html b/dir_968ae1bcefb3b734981f0a9bc54728b8.html index 54c5eb53860..d7a7326b204 100644 --- a/dir_968ae1bcefb3b734981f0a9bc54728b8.html +++ b/dir_968ae1bcefb3b734981f0a9bc54728b8.html @@ -116,7 +116,7 @@ - +

    Files

     Driver.cpp
     Driver.cpp
     
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    Files

     Driver.cpp
     Driver.cpp
     
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     Driver.cpp
     
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    Files

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     Driver.cpp
     
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     Driver.cpp
     
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     Driver.cpp
     
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     main.cpp
     
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     Main.cpp
     Main.cpp
     
     Support.cpp
     
     
     circle_loader.cc
     
     ModelLoader.cc
     
     tflite_loader.cc
     
     traininfo_loader.cc

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     Driver.cpp
     
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     Driver.cpp
     
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    27#include <string>
    28
    -
    29int main(int argc, char **argv)
    +
    29int main(int argc, char **argv)
    30{
    31 if (argc != 4)
    32 return EXIT_FAILURE;
    @@ -139,7 +139,7 @@
    47 return EXIT_SUCCESS;
    48}
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/dummy-infer_8cpp_source.html b/dummy-infer_8cpp_source.html index 35521575569..0afa09090ed 100644 --- a/dummy-infer_8cpp_source.html +++ b/dummy-infer_8cpp_source.html @@ -116,7 +116,7 @@
    24#include <iostream>
    25
    -
    26int main(int argc, char **argv)
    +
    26int main(int argc, char **argv)
    27{
    28 if (argc != 2)
    29 return EXIT_FAILURE;
    @@ -126,7 +126,7 @@
    33 return EXIT_SUCCESS;
    34}
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/dummy-infer_v2_8cpp_source.html b/dummy-infer_v2_8cpp_source.html index b77e2058fe0..ed542b99af0 100644 --- a/dummy-infer_v2_8cpp_source.html +++ b/dummy-infer_v2_8cpp_source.html @@ -116,7 +116,7 @@
    24#include <iostream>
    25
    -
    26int main(int argc, char **argv)
    +
    26int main(int argc, char **argv)
    27{
    28 if (argc != 2)
    29 return EXIT_FAILURE;
    @@ -126,7 +126,7 @@
    33 return EXIT_SUCCESS;
    34}
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
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    26#include <string>
    27
    -
    28int main(int argc, char **argv)
    +
    28int main(int argc, char **argv)
    29{
    30 (void)argc;
    31 (void)argv;
    @@ -128,7 +128,7 @@
    35 return EXIT_SUCCESS;
    36}
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/dummy-profile_8cpp_source.html b/dummy-profile_8cpp_source.html index 4e76905b87f..dda634aef4f 100644 --- a/dummy-profile_8cpp_source.html +++ b/dummy-profile_8cpp_source.html @@ -118,7 +118,7 @@
    26#include <string>
    27
    -
    28int main(int argc, char **argv)
    +
    28int main(int argc, char **argv)
    29{
    30 if (argc != 2)
    31 return EXIT_FAILURE;
    @@ -128,7 +128,7 @@
    35 return EXIT_SUCCESS;
    36}
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/dummy_env-compile_8cpp_source.html b/dummy_env-compile_8cpp_source.html index ae9f5faccf9..6906f46b362 100644 --- a/dummy_env-compile_8cpp_source.html +++ b/dummy_env-compile_8cpp_source.html @@ -119,7 +119,7 @@
    26#include <string>
    27
    -
    28int main(int argc, char **argv)
    +
    28int main(int argc, char **argv)
    29{
    30 if (argc != 2)
    31 return EXIT_FAILURE;
    @@ -138,7 +138,7 @@
    44 return EXIT_SUCCESS;
    45}
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
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    27#include <string>
    28
    -
    29int main(int argc, char **argv)
    +
    29int main(int argc, char **argv)
    30{
    31 if (argc != 4)
    32 return EXIT_FAILURE;
    @@ -142,7 +142,7 @@
    50 return EXIT_SUCCESS;
    51}
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/dummy_v2-profile_8cpp_source.html b/dummy_v2-profile_8cpp_source.html index 9b5aaa69c03..5f6a6a4add1 100644 --- a/dummy_v2-profile_8cpp_source.html +++ b/dummy_v2-profile_8cpp_source.html @@ -118,7 +118,7 @@
    26#include <string>
    27
    -
    28int main(int argc, char **argv)
    +
    28int main(int argc, char **argv)
    29{
    30 if (argc != 2)
    31 return EXIT_FAILURE;
    @@ -128,7 +128,7 @@
    35 return EXIT_SUCCESS;
    36}
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/dummy_v3-profile_8cpp_source.html b/dummy_v3-profile_8cpp_source.html index feb5c21e450..2300724580d 100644 --- a/dummy_v3-profile_8cpp_source.html +++ b/dummy_v3-profile_8cpp_source.html @@ -118,7 +118,7 @@
    26#include <string>
    27
    -
    28int main(int argc, char **argv)
    +
    28int main(int argc, char **argv)
    29{
    30 if (argc != 2)
    31 return EXIT_FAILURE;
    @@ -130,7 +130,7 @@
    37 return EXIT_SUCCESS;
    38}
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
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    @@ -97,7 +97,7 @@
    Dims.h
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -140,7 +140,7 @@ diff --git a/encodump_2src_2_dump_8cpp.html b/encodump_2src_2_dump_8cpp.html index 18f1a5fcc64..20ed75907f1 100644 --- a/encodump_2src_2_dump_8cpp.html +++ b/encodump_2src_2_dump_8cpp.html @@ -576,7 +576,7 @@

    References coco::Op::accept().

    -

    Referenced by dump(), dump(), dump(), dump(), dump(), onert::dumper::dot::DotDumper::dump(), entry(), and operator<<().

    +

    Referenced by dump(), dump(), dump(), dump(), dump(), onert::dumper::dot::DotDumper::dump(), entry(), and operator<<().

    diff --git a/exo_2src_2_dialect_2_i_r_2_circle_node_decl_8h.html b/exo_2src_2_dialect_2_i_r_2_circle_node_decl_8h.html index 1d05f09b3f2..bce0ed560dc 100644 --- a/exo_2src_2_dialect_2_i_r_2_circle_node_decl_8h.html +++ b/exo_2src_2_dialect_2_i_r_2_circle_node_decl_8h.html @@ -97,7 +97,7 @@
    #include <loco/IR/Node.h>
    #include <loco/IR/Dialect.h>
    -#include "CircleOpcode.h"
    +#include "CircleOpcode.h"
    #include "CircleNodeVisitor.forward.h"

    Go to the source code of this file.

    diff --git a/exo_2src_2_dialect_2_i_r_2_circle_node_decl_8h_source.html b/exo_2src_2_dialect_2_i_r_2_circle_node_decl_8h_source.html index ee0c34232df..a613824a5bc 100644 --- a/exo_2src_2_dialect_2_i_r_2_circle_node_decl_8h_source.html +++ b/exo_2src_2_dialect_2_i_r_2_circle_node_decl_8h_source.html @@ -119,7 +119,7 @@
    20#include <loco/IR/Node.h>
    21#include <loco/IR/Dialect.h>
    22
    -
    23#include "CircleOpcode.h"
    +
    23#include "CircleOpcode.h"
    25
    26namespace locoex
    @@ -156,9 +156,9 @@
    Logical unit of computation.
    Definition Node.h:54
    - + - +
    virtual ~CircleNode()=default
    virtual CircleOpcode opcode(void) const =0
    diff --git a/exo_2src_2_dialect_2_i_r_2_circle_nodes_8h.html b/exo_2src_2_dialect_2_i_r_2_circle_nodes_8h.html index 4fd8db956ea..655f3538602 100644 --- a/exo_2src_2_dialect_2_i_r_2_circle_nodes_8h.html +++ b/exo_2src_2_dialect_2_i_r_2_circle_nodes_8h.html @@ -97,7 +97,7 @@
    #include "CircleNodeDecl.h"
    -#include "CircleOpcode.h"
    +#include "CircleOpcode.h"
    #include "FusedActFunc.h"
    #include "NodeMixins.h"
    #include <loco/IR/Node.h>
    diff --git a/exo_2src_2_dialect_2_i_r_2_circle_nodes_8h_source.html b/exo_2src_2_dialect_2_i_r_2_circle_nodes_8h_source.html index 28309e981ab..f7a17b75a14 100644 --- a/exo_2src_2_dialect_2_i_r_2_circle_nodes_8h_source.html +++ b/exo_2src_2_dialect_2_i_r_2_circle_nodes_8h_source.html @@ -117,7 +117,7 @@
    18#define __LOCOEX_IR_CIRCLENODES_H__
    19
    20#include "CircleNodeDecl.h"
    -
    21#include "CircleOpcode.h"
    +
    21#include "CircleOpcode.h"
    22
    23#include "FusedActFunc.h"
    24#include "NodeMixins.h" // FixedArityNode
    @@ -198,7 +198,7 @@ - + diff --git a/exo_2src_2_dialect_2_i_r_2_circle_op_code_8h.js b/exo_2src_2_dialect_2_i_r_2_circle_op_code_8h.js deleted file mode 100644 index cc3cdc5e56a..00000000000 --- a/exo_2src_2_dialect_2_i_r_2_circle_op_code_8h.js +++ /dev/null @@ -1,7 +0,0 @@ -var exo_2src_2_dialect_2_i_r_2_circle_op_code_8h = -[ - [ "CIRCLE_NODE", "exo_2src_2_dialect_2_i_r_2_circle_op_code_8h.html#a0bf95843a4ca2404557403f869f84fc3", null ], - [ "CircleOpcode", "exo_2src_2_dialect_2_i_r_2_circle_op_code_8h.html#ae9186db1eda3decea5993b32af9d08b6", [ - [ "CIRCLE_NODE", "exo_2src_2_dialect_2_i_r_2_circle_op_code_8h.html#ae9186db1eda3decea5993b32af9d08b6ace20b93d18f40841aa5b47b9632076a6", null ] - ] ] -]; \ No newline at end of file diff --git a/exo_2src_2_dialect_2_i_r_2_circle_op_code_8h.html b/exo_2src_2_dialect_2_i_r_2_circle_opcode_8h.html similarity index 92% rename from exo_2src_2_dialect_2_i_r_2_circle_op_code_8h.html rename to exo_2src_2_dialect_2_i_r_2_circle_opcode_8h.html index 9d79d430c59..825c9a3e9fe 100644 --- a/exo_2src_2_dialect_2_i_r_2_circle_op_code_8h.html +++ b/exo_2src_2_dialect_2_i_r_2_circle_opcode_8h.html @@ -63,7 +63,7 @@
    @@ -98,7 +98,7 @@
    #include "CircleNodes.lst"
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    @@ -107,7 +107,7 @@

    Namespaces

    - +

    Macros

    #define CIRCLE_NODE(OPCODE, CLASS)   OPCODE,
    #define CIRCLE_NODE(OPCODE, CLASS)   OPCODE,
     
    - + @@ -240,7 +240,7 @@ - + @@ -291,7 +291,7 @@ - + @@ -300,7 +300,7 @@ - + @@ -324,7 +324,7 @@ - + @@ -368,13 +368,13 @@ - + - + @@ -384,7 +384,7 @@ - + @@ -406,13 +406,13 @@ - + - + @@ -471,14 +471,14 @@ - + - + - + - + @@ -653,7 +653,7 @@ - + @@ -685,7 +685,7 @@ - + @@ -767,7 +767,7 @@ - + @@ -877,7 +877,7 @@ - + @@ -955,7 +955,7 @@ - + @@ -1796,7 +1796,7 @@ - + @@ -1985,7 +1985,7 @@ - + @@ -2620,7 +2620,7 @@ - + @@ -2779,7 +2779,7 @@ - + @@ -2866,7 +2866,7 @@ - + @@ -2881,7 +2881,7 @@ - + @@ -3204,7 +3204,7 @@ - + @@ -3553,12 +3553,12 @@ - + - + @@ -3653,9 +3653,9 @@ - + - + @@ -3961,14 +3961,14 @@ - + - + @@ -3979,7 +3979,7 @@ - + @@ -4030,7 +4030,7 @@ - + @@ -4086,7 +4086,7 @@ - + @@ -4115,13 +4115,13 @@ - + - + @@ -4141,7 +4141,7 @@ - + @@ -4170,7 +4170,7 @@ - + @@ -4179,7 +4179,7 @@ - + @@ -4187,7 +4187,7 @@ - + @@ -4294,7 +4294,7 @@ - + @@ -4622,7 +4622,7 @@ - + @@ -4711,14 +4711,14 @@ - + - + - + - + @@ -4730,7 +4730,7 @@ - + @@ -4929,7 +4929,7 @@ - + @@ -5138,13 +5138,13 @@ - + - + @@ -5261,13 +5261,13 @@ - + - + @@ -5811,7 +5811,7 @@ - + @@ -6046,7 +6046,7 @@ - + @@ -6635,8 +6635,9 @@ - - + + + @@ -6972,8 +6973,9 @@ - - + + + diff --git a/functions_a.html b/functions_a.html index 43d3578aa4f..55da1ccae8a 100644 --- a/functions_a.html +++ b/functions_a.html @@ -97,7 +97,7 @@

    - a -

    - + @@ -325,7 +325,7 @@

     

    - +

    @@ -143,7 +143,7 @@

    -

    Definition at line 25 of file CircleOpcode.h.

    +

    Definition at line 25 of file CircleOpcode.h.

    @@ -152,7 +152,7 @@

    diff --git a/exo_2src_2_dialect_2_i_r_2_circle_opcode_8h.js b/exo_2src_2_dialect_2_i_r_2_circle_opcode_8h.js new file mode 100644 index 00000000000..d1d7d9d2b6d --- /dev/null +++ b/exo_2src_2_dialect_2_i_r_2_circle_opcode_8h.js @@ -0,0 +1,7 @@ +var exo_2src_2_dialect_2_i_r_2_circle_opcode_8h = +[ + [ "CIRCLE_NODE", "exo_2src_2_dialect_2_i_r_2_circle_opcode_8h.html#a0bf95843a4ca2404557403f869f84fc3", null ], + [ "CircleOpcode", "exo_2src_2_dialect_2_i_r_2_circle_opcode_8h.html#ae9186db1eda3decea5993b32af9d08b6", [ + [ "CIRCLE_NODE", "exo_2src_2_dialect_2_i_r_2_circle_opcode_8h.html#ae9186db1eda3decea5993b32af9d08b6ace20b93d18f40841aa5b47b9632076a6", null ] + ] ] +]; \ No newline at end of file diff --git a/exo_2src_2_dialect_2_i_r_2_circle_op_code_8h_source.html b/exo_2src_2_dialect_2_i_r_2_circle_opcode_8h_source.html similarity index 93% rename from exo_2src_2_dialect_2_i_r_2_circle_op_code_8h_source.html rename to exo_2src_2_dialect_2_i_r_2_circle_opcode_8h_source.html index 70a4e077e2a..44f8795e43c 100644 --- a/exo_2src_2_dialect_2_i_r_2_circle_op_code_8h_source.html +++ b/exo_2src_2_dialect_2_i_r_2_circle_opcode_8h_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    CircleOpcode.h
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -122,7 +122,7 @@
    23enum class CircleOpcode
    24{
    -
    25#define CIRCLE_NODE(OPCODE, CLASS) OPCODE,
    +
    25#define CIRCLE_NODE(OPCODE, CLASS) OPCODE,
    26#include "CircleNodes.lst"
    27#undef CIRCLE_NODE
    28};
    @@ -132,13 +132,13 @@
    31
    32#endif // __LOCOEX_IR_CIRCLEOPCODE_H__
    - +
    diff --git a/exo_2src_2_dialect_2_service_2_circle_shape_inference_rule_8h_source.html b/exo_2src_2_dialect_2_service_2_circle_shape_inference_rule_8h_source.html index 6d94cbce7aa..056934974dc 100644 --- a/exo_2src_2_dialect_2_service_2_circle_shape_inference_rule_8h_source.html +++ b/exo_2src_2_dialect_2_service_2_circle_shape_inference_rule_8h_source.html @@ -125,7 +125,7 @@
    26{
    27 bool recognize(const loco::Dialect *) const final;
    -
    28 bool infer(const loco::Node *, loco::NodeShape &) const final;
    +
    28 bool infer(const loco::Node *, loco::NodeShape &) const final;
    29};
    30
    @@ -137,7 +137,7 @@ -
    std::vector< float > infer()
    Definition main.cpp:25
    +
    std::vector< float > infer()
    Definition main.cpp:25
    bool recognize(const loco::Dialect *) const final
    Return true if this rule recognizes a given dialect.
    diff --git a/exo_2src_2_dialect_2_service_2_circle_type_inference_rule_8h_source.html b/exo_2src_2_dialect_2_service_2_circle_type_inference_rule_8h_source.html index 3329c3e4238..ee292ecc1b3 100644 --- a/exo_2src_2_dialect_2_service_2_circle_type_inference_rule_8h_source.html +++ b/exo_2src_2_dialect_2_service_2_circle_type_inference_rule_8h_source.html @@ -125,7 +125,7 @@
    29{
    30 bool recognize(const loco::Dialect *) const final;
    -
    31 bool infer(const loco::Node *, loco::DataType &) const final;
    +
    31 bool infer(const loco::Node *, loco::DataType &) const final;
    32};
    33
    @@ -137,7 +137,7 @@
    Logical unit of computation.
    Definition Node.h:54
    DataType
    "scalar" value type
    Definition DataType.h:27
    -
    std::vector< float > infer()
    Definition main.cpp:25
    +
    std::vector< float > infer()
    Definition main.cpp:25
    Type Inference Rule for CircleDialect.
    bool recognize(const loco::Dialect *) const final
    Return true if this rule recognizes a given dialect.
    diff --git a/files.html b/files.html index a9e66355c24..f78599165d9 100644 --- a/files.html +++ b/files.html @@ -171,7 +171,7 @@

      onert-micro
     
    #define FLATBUFFERS_GEN_TYPES_POINTER(TD)
     
    #define FLATBUFFERS_GEN_TYPE_ARRAY(TD)    TD(ARRAY, "", int, int, int, int, int, unused, Int, Offset<UOffset>)
    #define FLATBUFFERS_GEN_TYPE_ARRAY(TD)    TD(ARRAY, "", int, int, int, int, int, unused, Int, Offset<UOffset>)
     
    #define FLATBUFFERS_GEN_TYPES(TD)
     
    TD)    TD(ARRAY, "", int, int, int, int, int, unused, Int, Offset<UOffset>)    TD(ARRAY, "", int, int, int, int, int, unused, Int, Offset<UOffset>)

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_abs_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_abs_8h_source.html index cfbcf9f2a9b..0c294f83ed4 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_abs_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_abs_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCELABS_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_add_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_add_8h.html index a6de67e9938..722198fd615 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_add_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_add_8h.html @@ -96,7 +96,7 @@
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_add_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_add_8h_source.html index 09408a93f25..e6e7ea660e3 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_add_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_add_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCELADD_H__
    19
    - +
    22
    @@ -154,7 +154,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_add_n_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_add_n_8h.html index 0a8fdfa77c3..c8c5aac45a6 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_add_n_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_add_n_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_add_n_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_add_n_8h_source.html index fd687203579..8d3fa7a2361 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_add_n_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_add_n_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCEL_ADD_N_H__
    19
    - +
    22
    24
    @@ -154,10 +154,10 @@
    uint32_t arity(void) const final
    Return the number of arguments.
    - + - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_arg_max_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_arg_max_8h.html index 29fa7909926..48140dd02c3 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_arg_max_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_arg_max_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_arg_max_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_arg_max_8h_source.html index f036bf9d825..85e782e5f15 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_arg_max_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_arg_max_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCELARGMAX_H__
    19
    - +
    22
    24
    @@ -159,7 +159,7 @@
    Nodes with the fixed number of inputs.
    - +
    DataType
    "scalar" value type
    Definition DataType.h:27
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_arg_min_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_arg_min_8h.html index a78fd7289dd..cedfca8ce1a 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_arg_min_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_arg_min_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_arg_min_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_arg_min_8h_source.html index e393c068ca9..e1526872570 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_arg_min_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_arg_min_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCELARGMIN_H__
    19
    - +
    22
    24
    @@ -159,7 +159,7 @@
    Nodes with the fixed number of inputs.
    - +
    DataType
    "scalar" value type
    Definition DataType.h:27
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_average_pool2_d_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_average_pool2_d_8h.html index c020b2a539c..cfa10e5f5c2 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_average_pool2_d_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_average_pool2_d_8h.html @@ -96,7 +96,7 @@
    #include "luci/IR/CircleNodeDecl.h"
    -#include "luci/IR/CircleOpcode.h"
    +#include "luci/IR/CircleOpcode.h"
    #include "luci/IR/AttrFilter.h"
    #include "luci/IR/AttrPadding.h"
    #include "luci/IR/AttrStride.h"
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_average_pool2_d_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_average_pool2_d_8h_source.html index cdd2d66bf4f..081b52fb8e0 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_average_pool2_d_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_average_pool2_d_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEAVERAGEPOOL2D_H__
    19
    - +
    22
    23#include "luci/IR/AttrFilter.h"
    24#include "luci/IR/AttrPadding.h"
    @@ -179,7 +179,7 @@ - + diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_b_c_q_fully_connected_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_b_c_q_fully_connected_8h.html index 7e44c3c5cb0..a286338d3f8 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_b_c_q_fully_connected_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_b_c_q_fully_connected_8h.html @@ -96,7 +96,7 @@
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_b_c_q_fully_connected_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_b_c_q_fully_connected_8h_source.html index 3674e43efc5..37e147b8bbf 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_b_c_q_fully_connected_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_b_c_q_fully_connected_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEBCQFULLYCONNECTED_H__
    19
    - +
    22
    @@ -185,7 +185,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_b_c_q_gather_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_b_c_q_gather_8h.html index 1be9fe5b36c..985349da345 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_b_c_q_gather_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_b_c_q_gather_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_b_c_q_gather_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_b_c_q_gather_8h_source.html index 419bb8ce2ca..9f94f345af6 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_b_c_q_gather_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_b_c_q_gather_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEBCQGATHER_H__
    19
    - +
    22
    24
    @@ -175,7 +175,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_batch_mat_mul_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_batch_mat_mul_8h.html index cc481fd866f..d224f085659 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_batch_mat_mul_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_batch_mat_mul_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_batch_mat_mul_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_batch_mat_mul_8h_source.html index 55816ef137f..d1868c0b830 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_batch_mat_mul_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_batch_mat_mul_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCELBATCHMATMUL_H__
    19
    - +
    22
    24
    @@ -166,7 +166,7 @@
    loco::Node * arg(uint32_t n) const final
    Access N-th argument node.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_batch_to_space_n_d_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_batch_to_space_n_d_8h.html index 4e11e139be8..a3676ad81de 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_batch_to_space_n_d_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_batch_to_space_n_d_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_batch_to_space_n_d_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_batch_to_space_n_d_8h_source.html index f720dd64509..4522036b363 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_batch_to_space_n_d_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_batch_to_space_n_d_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEBATCHTOSPACEND_H__
    19
    - +
    22
    24
    @@ -156,7 +156,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_bidirectional_sequence_l_s_t_m_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_bidirectional_sequence_l_s_t_m_8h.html index e11929674d5..7867da03bc6 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_bidirectional_sequence_l_s_t_m_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_bidirectional_sequence_l_s_t_m_8h.html @@ -96,7 +96,7 @@
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_bidirectional_sequence_l_s_t_m_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_bidirectional_sequence_l_s_t_m_8h_source.html index 815198f4864..2e214f86c3b 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_bidirectional_sequence_l_s_t_m_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_bidirectional_sequence_l_s_t_m_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEBIDIRECTIONALSEQUENCE_LSTM_H__
    19
    - +
    22
    @@ -385,7 +385,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_broadcast_to_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_broadcast_to_8h.html index e2a06ef1b95..ef6cdd383c8 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_broadcast_to_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_broadcast_to_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_broadcast_to_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_broadcast_to_8h_source.html index fb5df7b43a9..bab8d5634b3 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_broadcast_to_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_broadcast_to_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEBROADCASTTO_H__
    19
    - +
    22
    24
    @@ -151,7 +151,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_cast_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_cast_8h.html index af21f75e91b..b3d75883a2e 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_cast_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_cast_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_cast_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_cast_8h_source.html index 6bd1ea7f5e9..de59a05e93e 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_cast_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_cast_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCELECAST_H__
    19
    - +
    22
    24
    @@ -160,7 +160,7 @@
    Nodes with the fixed number of inputs.
    - +
    DataType
    "scalar" value type
    Definition DataType.h:27
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_ceil_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_ceil_8h.html index 4402dff4447..1f3b0ad3dd9 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_ceil_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_ceil_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_ceil_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_ceil_8h_source.html index f19e6a76b26..0f4187467ab 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_ceil_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_ceil_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_CEIL_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_concatenation_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_concatenation_8h.html index c7cdc6b09c1..feee0675a56 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_concatenation_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_concatenation_8h.html @@ -96,7 +96,7 @@
    #include "luci/IR/CircleNodeDecl.h"
    -#include "luci/IR/CircleOpcode.h"
    +#include "luci/IR/CircleOpcode.h"
    #include "luci/IR/AttrFusedActFunc.h"
    #include "luci/IR/CircleNodeMixins.h"
    #include "luci/IR/VariadicArityNode.h"
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_concatenation_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_concatenation_8h_source.html index 5170dfaabf1..497c5d95dcb 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_concatenation_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_concatenation_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLECONCATENATION_H__
    19
    - +
    22
    @@ -191,10 +191,10 @@
    uint32_t arity(void) const final
    Return the number of arguments.
    - + - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_const_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_const_8h.html index 11123cb4e35..f15e539de00 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_const_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_const_8h.html @@ -96,7 +96,7 @@
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_const_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_const_8h_source.html index d31b842599d..b735776001d 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_const_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_const_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLECONST_H__
    19
    - +
    22
    24
    @@ -156,7 +156,7 @@
    uint32_t size(void) const
    Nodes with the fixed number of inputs.
    - +
    C++ scalar type corresponding to each DataType.
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_conv2_d_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_conv2_d_8h.html index 64b68701cd6..95d5a5c94f0 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_conv2_d_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_conv2_d_8h.html @@ -96,7 +96,7 @@
    #include "luci/IR/CircleNodeDecl.h"
    -#include "luci/IR/CircleOpcode.h"
    +#include "luci/IR/CircleOpcode.h"
    #include "luci/IR/AttrPadding.h"
    #include "luci/IR/AttrStride.h"
    #include "luci/IR/AttrDilation.h"
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_conv2_d_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_conv2_d_8h_source.html index 751491aab66..da2edc7f43d 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_conv2_d_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_conv2_d_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLECONV2D_H__
    19
    - +
    22
    23#include "luci/IR/AttrPadding.h"
    24#include "luci/IR/AttrStride.h"
    @@ -189,7 +189,7 @@ - + diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_cos_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_cos_8h.html index cd59c32a049..0dc4f60b59e 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_cos_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_cos_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_cos_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_cos_8h_source.html index d92dc972331..a057cff858f 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_cos_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_cos_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_COS_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_cum_sum_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_cum_sum_8h.html index 8cdab5c0ac6..122884f3db2 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_cum_sum_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_cum_sum_8h.html @@ -97,7 +97,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_cum_sum_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_cum_sum_8h_source.html index eb8b4804b9f..1d9c5af38dd 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_cum_sum_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_cum_sum_8h_source.html @@ -118,7 +118,7 @@
    19
    - +
    23
    24namespace luci
    25{
    @@ -164,7 +164,7 @@
    Nodes with the fixed number of inputs.
    - + diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_custom_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_custom_8h_source.html index 9fa860f9e84..cb3b58e75a7 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_custom_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_custom_8h_source.html @@ -183,7 +183,7 @@ - + diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_densify_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_densify_8h.html index e48212a46c7..19171c3b1db 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_densify_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_densify_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_densify_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_densify_8h_source.html index 0c5452befa8..62decc62ab6 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_densify_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_densify_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_DENSIFY_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_depth_to_space_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_depth_to_space_8h.html index 1b79a71aca9..613affaf6cd 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_depth_to_space_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_depth_to_space_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_depth_to_space_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_depth_to_space_8h_source.html index 1d53ee0334a..8dbc14d7723 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_depth_to_space_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_depth_to_space_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_DEPTHTOSPACE_H__
    19
    - +
    22
    24
    @@ -155,7 +155,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_depthwise_conv2_d_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_depthwise_conv2_d_8h.html index 4fdcaa5e4c7..b87494dc5b5 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_depthwise_conv2_d_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_depthwise_conv2_d_8h.html @@ -96,7 +96,7 @@
    #include "luci/IR/CircleNodeDecl.h"
    -#include "luci/IR/CircleOpcode.h"
    +#include "luci/IR/CircleOpcode.h"
    #include "luci/IR/AttrDilation.h"
    #include "luci/IR/AttrFilter.h"
    #include "luci/IR/AttrPadding.h"
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_depthwise_conv2_d_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_depthwise_conv2_d_8h_source.html index b7ae722d2a7..481d50f09ff 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_depthwise_conv2_d_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_depthwise_conv2_d_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEDEPTHWISECONV2D_H__
    19
    - +
    22
    24#include "luci/IR/AttrFilter.h"
    @@ -199,7 +199,7 @@
    loco::Node * arg(uint32_t n) const final
    Access N-th argument node.
    - + diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_dequantize_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_dequantize_8h.html index 743d39c1b1e..52da3ad99e0 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_dequantize_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_dequantize_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_dequantize_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_dequantize_8h_source.html index 77ba7511df3..11045fa6b21 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_dequantize_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_dequantize_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCELEDEQUANTIZE_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_div_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_div_8h.html index 9e197ae8493..bda590ca6db 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_div_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_div_8h.html @@ -96,7 +96,7 @@
    #include "luci/IR/CircleNodeDecl.h"
    -#include "luci/IR/CircleOpcode.h"
    +#include "luci/IR/CircleOpcode.h"
    #include "luci/IR/AttrFilter.h"
    #include "luci/IR/AttrPadding.h"
    #include "luci/IR/AttrStride.h"
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_div_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_div_8h_source.html index 8e092681918..5381f9e39b8 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_div_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_div_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEDIV_H__
    19
    - +
    22
    23#include "luci/IR/AttrFilter.h"
    24#include "luci/IR/AttrPadding.h"
    @@ -160,7 +160,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_elu_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_elu_8h.html index 005b9f6d219..e5f65baf2aa 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_elu_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_elu_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_elu_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_elu_8h_source.html index 0d7472e904f..af52a3f06f5 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_elu_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_elu_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEELU_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_equal_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_equal_8h.html index 7672bed469a..d84eef5fa94 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_equal_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_equal_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_equal_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_equal_8h_source.html index 77ebdd3696b..a621f365050 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_equal_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_equal_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_EQUAL_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_exp_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_exp_8h.html index 44ae2ab1fc4..69d156dc219 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_exp_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_exp_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_exp_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_exp_8h_source.html index fe914e10410..b5baa7211f0 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_exp_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_exp_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_EXP_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_expand_dims_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_expand_dims_8h.html index 51101a9ff2b..cead93f6fcd 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_expand_dims_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_expand_dims_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_expand_dims_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_expand_dims_8h_source.html index e0c181c20ff..a8aedae2e91 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_expand_dims_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_expand_dims_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEEXPAND_DIMS_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_fake_quant_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_fake_quant_8h.html index d3d1c98be38..208a11d2680 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_fake_quant_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_fake_quant_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_fake_quant_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_fake_quant_8h_source.html index b5f41e1356d..8b2c1a3b652 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_fake_quant_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_fake_quant_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_FAKE_QUANT_H__
    19
    - +
    22
    24
    @@ -172,7 +172,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_fill_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_fill_8h.html index b065056e0f2..11ebc586deb 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_fill_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_fill_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_fill_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_fill_8h_source.html index 5f8132ec159..784ace5013f 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_fill_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_fill_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCEFILL_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_8h.html index e8823674e85..aea1ff08de4 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_8h_source.html index 2dcfd7e3e50..98e1834af53 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_FLOOR_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_div_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_div_8h.html index df1a77cf52a..273b8ccbb17 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_div_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_div_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_div_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_div_8h_source.html index a04f438fc4b..063e11586dc 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_div_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_div_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_FLOOR_DIV_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_mod_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_mod_8h.html index fb57d1ad12a..f9348e4eb48 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_mod_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_mod_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_mod_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_mod_8h_source.html index bad324929a6..e5bc4f3a598 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_mod_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_mod_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_FLOOR_MOD_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_fully_connected_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_fully_connected_8h.html index 98ed3b22a68..1b6be3c98ed 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_fully_connected_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_fully_connected_8h.html @@ -96,7 +96,7 @@
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_fully_connected_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_fully_connected_8h_source.html index e429588a48e..a1b8a8ba73e 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_fully_connected_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_fully_connected_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEFULLYCONNECTED_H__
    19
    - +
    22
    @@ -193,7 +193,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_gather_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_gather_8h.html index 8db6d5ab6d5..bbd7a62ab95 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_gather_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_gather_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_gather_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_gather_8h_source.html index c81cb12cf89..7d213f8ffcc 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_gather_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_gather_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEGATHER_H__
    19
    - +
    22
    24
    @@ -159,7 +159,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_gather_nd_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_gather_nd_8h.html index 2171504b27a..eb25b0228fc 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_gather_nd_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_gather_nd_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_gather_nd_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_gather_nd_8h_source.html index d262f678004..69adea355d6 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_gather_nd_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_gather_nd_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEGATHER_ND_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_gelu_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_gelu_8h.html index 84f44515ac3..316a6d7b101 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_gelu_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_gelu_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_gelu_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_gelu_8h_source.html index 1d83d0f7b7c..bd5d7c1373f 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_gelu_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_gelu_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEGELU_H__
    19
    - +
    22
    24
    @@ -155,7 +155,7 @@
    loco::Node * arg(uint32_t n) const final
    Access N-th argument node.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_greater_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_greater_8h.html index e924480afa8..57af493b55a 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_greater_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_greater_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_greater_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_greater_8h_source.html index 71727bb53a0..5a9b1f3d4ec 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_greater_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_greater_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_GREATER_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_greater_equal_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_greater_equal_8h.html index 503c3f05f1d..6e302cdc77c 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_greater_equal_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_greater_equal_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_greater_equal_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_greater_equal_8h_source.html index b6760a90317..7b574561d1e 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_greater_equal_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_greater_equal_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_GREATEREQUAL_H__
    19
    - +
    22
    24
    @@ -151,7 +151,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_hard_swish_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_hard_swish_8h.html index b4a86fc5bd4..668636ac0f4 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_hard_swish_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_hard_swish_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_hard_swish_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_hard_swish_8h_source.html index 704d553d2ed..1da272ab566 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_hard_swish_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_hard_swish_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEHARDSWISH_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_if_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_if_8h.html index 731554ba9ea..d8c2bdc8f0e 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_if_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_if_8h.html @@ -96,7 +96,7 @@
    #include "luci/IR/CircleNodeDecl.h"
    -#include "luci/IR/CircleOpcode.h"
    +#include "luci/IR/CircleOpcode.h"
    #include "luci/IR/VariadicArityNode.h"
    #include <cassert>
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_if_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_if_8h_source.html index c1b5bd428cb..5d1a41af766 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_if_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_if_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_IF_H__
    19
    - +
    22
    24
    @@ -200,10 +200,10 @@
    uint32_t arity(void) const final
    Return the number of arguments.
    - + - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_instance_norm_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_instance_norm_8h.html index e55e487007a..e99af13d56b 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_instance_norm_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_instance_norm_8h.html @@ -96,7 +96,7 @@
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_instance_norm_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_instance_norm_8h_source.html index 83fd07d8c21..bdd7c76f13b 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_instance_norm_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_instance_norm_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEINSTANCENORM_H__
    19
    - +
    22
    @@ -169,7 +169,7 @@
    Nodes with the fixed number of inputs.
    loco::Use * at(uint32_t n) const
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_l2_normalize_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_l2_normalize_8h.html index b0b0da4b4ea..e143acc605a 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_l2_normalize_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_l2_normalize_8h.html @@ -96,7 +96,7 @@
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_l2_normalize_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_l2_normalize_8h_source.html index 5625d37c89b..582444d7736 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_l2_normalize_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_l2_normalize_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCEL2NORMALIZE_H__
    19
    - +
    22
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_l2_pool2_d_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_l2_pool2_d_8h.html index 215a7759378..3da774048f8 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_l2_pool2_d_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_l2_pool2_d_8h.html @@ -96,7 +96,7 @@
    #include "luci/IR/CircleNodeDecl.h"
    -#include "luci/IR/CircleOpcode.h"
    +#include "luci/IR/CircleOpcode.h"
    #include "luci/IR/AttrFilter.h"
    #include "luci/IR/AttrPadding.h"
    #include "luci/IR/AttrStride.h"
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_l2_pool2_d_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_l2_pool2_d_8h_source.html index 4842adf5fe9..056c78b614e 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_l2_pool2_d_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_l2_pool2_d_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_L2_POOL2D_H__
    19
    - +
    22
    23#include "luci/IR/AttrFilter.h"
    24#include "luci/IR/AttrPadding.h"
    @@ -178,7 +178,7 @@ - + diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_leaky_relu_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_leaky_relu_8h.html index 56ae945597e..4bc8c1be5d4 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_leaky_relu_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_leaky_relu_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_leaky_relu_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_leaky_relu_8h_source.html index 69ab6f4694a..c868fecac05 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_leaky_relu_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_leaky_relu_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_LEAKY_RELU_H__
    19
    - +
    22
    24
    @@ -154,7 +154,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_less_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_less_8h.html index 9b59a0dfd0a..68f2957c473 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_less_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_less_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_less_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_less_8h_source.html index 35aab21bcdd..2783b2e85e5 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_less_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_less_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_LESS_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_less_equal_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_less_equal_8h.html index 8c8f810db13..b63b911bc44 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_less_equal_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_less_equal_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_less_equal_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_less_equal_8h_source.html index 573ad369941..2823d498cc5 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_less_equal_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_less_equal_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_LESSEQUAL_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_local_response_normalization_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_local_response_normalization_8h.html index d79e3eb9ac4..e7927688b48 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_local_response_normalization_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_local_response_normalization_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_local_response_normalization_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_local_response_normalization_8h_source.html index 3e7d46bd308..b93a75ff355 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_local_response_normalization_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_local_response_normalization_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLELOCAL_RESPONSE_NORMALIZATION_H__
    19
    - +
    22
    24
    @@ -173,7 +173,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_log_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_log_8h.html index 813aa3ce4ee..d941220eccc 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_log_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_log_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_log_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_log_8h_source.html index a484bae8177..5c357ab3e4e 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_log_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_log_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_LOG_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_log_softmax_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_log_softmax_8h.html index 9d45208e9a2..5db4d1b5b7f 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_log_softmax_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_log_softmax_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_log_softmax_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_log_softmax_8h_source.html index d8c205a640e..346f6fe8213 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_log_softmax_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_log_softmax_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_LOG_SOFTMAX_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_and_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_and_8h.html index d57d80ce1b5..b77af64092b 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_and_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_and_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_and_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_and_8h_source.html index f776f8990a5..c1a87e08e12 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_and_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_and_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_LOGICALAND_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_not_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_not_8h.html index e2f335912fe..d0ff11bc632 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_not_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_not_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_not_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_not_8h_source.html index 27eafd0bc3f..a26928fa4be 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_not_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_not_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_LOGICALNOT_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_or_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_or_8h.html index 5911e0a4377..caf8d69369b 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_or_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_or_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_or_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_or_8h_source.html index cc6f9035033..8de6d85d88a 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_or_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_or_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_LOGICALOR_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_logistic_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_logistic_8h.html index 93fa11cd64b..82e14a5b929 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_logistic_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_logistic_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_logistic_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_logistic_8h_source.html index 2f60efc1e24..5e183e542e6 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_logistic_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_logistic_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_LOGISTIC_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_matrix_diag_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_matrix_diag_8h.html index d47607b4911..73b19c7e104 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_matrix_diag_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_matrix_diag_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_matrix_diag_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_matrix_diag_8h_source.html index d896665520d..294d1f3647f 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_matrix_diag_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_matrix_diag_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEMATRIXDIAG_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_matrix_set_diag_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_matrix_set_diag_8h.html index cc20b32dd5f..e3822120b9c 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_matrix_set_diag_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_matrix_set_diag_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_matrix_set_diag_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_matrix_set_diag_8h_source.html index 372ca8299b2..502ded0e6b0 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_matrix_set_diag_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_matrix_set_diag_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEMATRIXSETDIAG_H__
    19
    - +
    22
    24
    @@ -151,7 +151,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_max_pool2_d_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_max_pool2_d_8h.html index 6e2e7639b24..e4754346798 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_max_pool2_d_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_max_pool2_d_8h.html @@ -96,7 +96,7 @@
    #include "luci/IR/CircleNodeDecl.h"
    -#include "luci/IR/CircleOpcode.h"
    +#include "luci/IR/CircleOpcode.h"
    #include "luci/IR/AttrFilter.h"
    #include "luci/IR/AttrPadding.h"
    #include "luci/IR/AttrStride.h"
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_max_pool2_d_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_max_pool2_d_8h_source.html index b0649ce19c1..7995e9acec6 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_max_pool2_d_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_max_pool2_d_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEMAXPOOL2D_H__
    19
    - +
    22
    23#include "luci/IR/AttrFilter.h"
    24#include "luci/IR/AttrPadding.h"
    @@ -178,7 +178,7 @@ - + diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_maximum_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_maximum_8h.html index 3fdca0200e0..bdb6d3bf984 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_maximum_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_maximum_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_maximum_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_maximum_8h_source.html index af3b56481a2..61d0b7446e9 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_maximum_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_maximum_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEMAXIMUM_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_mean_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_mean_8h.html index 589da080357..a77cfdf19cf 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_mean_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_mean_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_mean_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_mean_8h_source.html index 5ed30dc303c..f9425531817 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_mean_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_mean_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEMEAN_H__
    19
    - +
    22
    24
    @@ -159,7 +159,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_minimum_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_minimum_8h.html index f86e16bb074..77c119456af 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_minimum_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_minimum_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_minimum_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_minimum_8h_source.html index 1fabf868dc3..cd28803bea7 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_minimum_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_minimum_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEMINIMUM_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_mirror_pad_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_mirror_pad_8h.html index 1df5572a037..67833f902db 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_mirror_pad_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_mirror_pad_8h.html @@ -96,7 +96,7 @@
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_mirror_pad_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_mirror_pad_8h_source.html index 8cbf2b579c1..3f0e2084966 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_mirror_pad_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_mirror_pad_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_MIRRORPAD_H__
    19
    - +
    22
    @@ -161,7 +161,7 @@
    Nodes with the fixed number of inputs.
    - + diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_mul_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_mul_8h.html index ca6586c7087..55e022c39cf 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_mul_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_mul_8h.html @@ -96,7 +96,7 @@
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_mul_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_mul_8h_source.html index 8a512d94dce..d01955b23c0 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_mul_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_mul_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEMUL_H__
    19
    - +
    22
    @@ -154,7 +154,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_neg_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_neg_8h.html index 6adb92423c2..b12af507dbf 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_neg_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_neg_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_neg_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_neg_8h_source.html index 3471e1b9ce4..2497cdd6a10 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_neg_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_neg_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLENEG_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_non_max_suppression_v4_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_non_max_suppression_v4_8h.html index 52a85bdd724..aba9feecf3f 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_non_max_suppression_v4_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_non_max_suppression_v4_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_non_max_suppression_v4_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_non_max_suppression_v4_8h_source.html index 26b140cfa7a..ca0afbd51da 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_non_max_suppression_v4_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_non_max_suppression_v4_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_NON_MAX_SUPPRESSION_V4_H__
    19
    - +
    22
    24
    @@ -166,7 +166,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_non_max_suppression_v5_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_non_max_suppression_v5_8h.html index 82a265ae9ee..976324c1f7c 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_non_max_suppression_v5_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_non_max_suppression_v5_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_non_max_suppression_v5_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_non_max_suppression_v5_8h_source.html index 1f231db7b15..f70ad996704 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_non_max_suppression_v5_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_non_max_suppression_v5_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_NON_MAX_SUPPRESSION_V5_H__
    19
    - +
    22
    24
    @@ -171,7 +171,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_not_equal_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_not_equal_8h.html index 2cb32a83ad0..8904d361c8d 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_not_equal_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_not_equal_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_not_equal_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_not_equal_8h_source.html index 30ab611aa9f..4820064b268 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_not_equal_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_not_equal_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_NOTEQUAL_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_one_hot_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_one_hot_8h.html index 08bb8d8c87b..1b85e004d84 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_one_hot_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_one_hot_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_one_hot_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_one_hot_8h_source.html index aa7bf890883..90382d69355 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_one_hot_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_one_hot_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEONEHOT_H__
    19
    - +
    22
    24
    @@ -169,7 +169,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_p_relu_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_p_relu_8h.html index 7e8353503ed..e1ec41a5826 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_p_relu_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_p_relu_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_p_relu_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_p_relu_8h_source.html index a8b652558d9..8e6a4b83293 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_p_relu_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_p_relu_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_PRELU_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_pack_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_pack_8h.html index 09eba970a2e..bbb0402e561 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_pack_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_pack_8h.html @@ -96,7 +96,7 @@
    #include "luci/IR/CircleNodeDecl.h"
    -#include "luci/IR/CircleOpcode.h"
    +#include "luci/IR/CircleOpcode.h"
    #include "luci/IR/VariadicArityNode.h"
    #include <cassert>
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_pack_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_pack_8h_source.html index 53596f834b2..e8f4bf73e78 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_pack_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_pack_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEPACK_H__
    19
    - +
    22
    24
    @@ -182,10 +182,10 @@
    uint32_t arity(void) const final
    Return the number of arguments.
    - + - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_pad_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_pad_8h.html index 9dc83ab8164..d5cb3f10c20 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_pad_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_pad_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_pad_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_pad_8h_source.html index b5c9411b50b..7c133f8721c 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_pad_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_pad_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEPAD_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_pad_v2_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_pad_v2_8h.html index ab64c19ccb4..e0c2a4046b9 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_pad_v2_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_pad_v2_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_pad_v2_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_pad_v2_8h_source.html index 54bbc271838..7ac8cec439c 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_pad_v2_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_pad_v2_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEPADV2_H__
    19
    - +
    22
    24
    @@ -155,7 +155,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_pow_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_pow_8h.html index 726cf7608dd..5675652e714 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_pow_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_pow_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_pow_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_pow_8h_source.html index b5c25813def..c6c33e25515 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_pow_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_pow_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_POW_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_quantize_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_quantize_8h.html index 1e74c83d5ee..0387686f884 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_quantize_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_quantize_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_quantize_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_quantize_8h_source.html index 23251902a74..d25bba42387 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_quantize_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_quantize_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCELEQUANTIZE_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_range_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_range_8h.html index 97d140a5dda..c541abf98a6 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_range_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_range_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_range_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_range_8h_source.html index 6dcd898d447..ddf0215a355 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_range_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_range_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLERANGE_H__
    19
    - +
    22
    24
    @@ -155,7 +155,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_rank_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_rank_8h.html index 50e82ea4ec7..cadad9c7698 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_rank_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_rank_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_rank_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_rank_8h_source.html index f7c9c47c1dc..41130eb8028 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_rank_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_rank_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLERANK_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_any_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_any_8h.html index b463243405a..7e7862e3c7d 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_any_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_any_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_any_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_any_8h_source.html index 87f66a62ce5..889f22f5ff1 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_any_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_any_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_REDUCE_ANY_H__
    19
    - +
    22
    24
    @@ -159,7 +159,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_max_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_max_8h.html index cf0b424b45e..0a883cd040d 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_max_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_max_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_max_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_max_8h_source.html index a14f71dd471..2b82d31c26c 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_max_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_max_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_REDUCE_MAX_H__
    19
    - +
    22
    24
    @@ -159,7 +159,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_min_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_min_8h.html index e2b49613e19..92f160364fd 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_min_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_min_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_min_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_min_8h_source.html index b42a1b56577..a232e340fca 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_min_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_min_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_REDUCE_MIN_H__
    19
    - +
    22
    24
    @@ -159,7 +159,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_prod_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_prod_8h.html index fdc28c59f34..86a9b8d47af 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_prod_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_prod_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_prod_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_prod_8h_source.html index fd715a69727..95d0321fcc1 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_prod_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_prod_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_REDUCE_PROD_H__
    19
    - +
    22
    24
    @@ -159,7 +159,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu6_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu6_8h.html index fa92af83b60..c66bc625597 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu6_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu6_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu6_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu6_8h_source.html index 0c3a14f9017..e50b662746a 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu6_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu6_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLERELU6_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu_8h.html index 0bfdca2d945..2dfa34068f9 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu_8h_source.html index d101463267c..564501a6a17 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLERELU_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu_n1_to1_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu_n1_to1_8h.html index 1a0ce605a3f..6673abae84b 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu_n1_to1_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu_n1_to1_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu_n1_to1_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu_n1_to1_8h_source.html index c9719c13bd4..69d9191ff7e 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu_n1_to1_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu_n1_to1_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_RELU_N1_TO_1_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reshape_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reshape_8h.html index 2a2947a16da..164dd0ff275 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reshape_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reshape_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reshape_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reshape_8h_source.html index 94f6fb6b25a..87fa77d487d 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reshape_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reshape_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLERESHAPE_H__
    19
    - +
    22
    24
    @@ -181,7 +181,7 @@
    Nodes with the fixed number of inputs.
    - +
    Definition Shape.h:28
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_resize_bilinear_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_resize_bilinear_8h.html index 1d4bb4bb08a..7a5a99a64cb 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_resize_bilinear_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_resize_bilinear_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_resize_bilinear_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_resize_bilinear_8h_source.html index b14dc241829..d9f68b7b92f 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_resize_bilinear_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_resize_bilinear_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLERESIZE_BILINEAR_H__
    19
    - +
    22
    24
    @@ -166,7 +166,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_resize_nearest_neighbor_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_resize_nearest_neighbor_8h.html index 6fd18797af9..ae9410fe796 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_resize_nearest_neighbor_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_resize_nearest_neighbor_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_resize_nearest_neighbor_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_resize_nearest_neighbor_8h_source.html index abdb3a7c657..dfbb59b1e7a 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_resize_nearest_neighbor_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_resize_nearest_neighbor_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLERESSIZE_NEAREST_NEIGHBOR_H__
    19
    - +
    22
    24
    @@ -160,7 +160,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reverse_sequence_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reverse_sequence_8h.html index 1b78bca7e26..973067bc9c1 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reverse_sequence_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reverse_sequence_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reverse_sequence_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reverse_sequence_8h_source.html index e908c1bc66f..d778570cb11 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reverse_sequence_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reverse_sequence_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEREVERSESEQUENCE_H__
    19
    - +
    22
    24
    @@ -166,7 +166,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reverse_v2_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reverse_v2_8h.html index c80d8e1222e..60a2c695ef5 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reverse_v2_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reverse_v2_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reverse_v2_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reverse_v2_8h_source.html index ae623bf8f62..edf744d7462 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reverse_v2_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reverse_v2_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEREVERSE_V2_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_round_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_round_8h.html index a1cc3064d19..b92661f96b9 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_round_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_round_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_round_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_round_8h_source.html index ff4b687b681..ffbb4206af1 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_round_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_round_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEROUND_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_rsqrt_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_rsqrt_8h.html index afae7b17a4a..ba3eb6d69b6 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_rsqrt_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_rsqrt_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_rsqrt_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_rsqrt_8h_source.html index 91bbbee3890..6d8a8723e17 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_rsqrt_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_rsqrt_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLERSQRT_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_s_v_d_f_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_s_v_d_f_8h.html index e3a21c50c80..cc0e8a771bc 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_s_v_d_f_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_s_v_d_f_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_s_v_d_f_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_s_v_d_f_8h_source.html index caedd97bf0c..3c2fd4c606d 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_s_v_d_f_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_s_v_d_f_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_SVDF_H__
    19
    - +
    22
    24
    @@ -191,7 +191,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_scatter_nd_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_scatter_nd_8h.html index 2790f72d36c..6131d9f3bc7 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_scatter_nd_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_scatter_nd_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_scatter_nd_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_scatter_nd_8h_source.html index 8ccfb13dc89..7de6daf43fe 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_scatter_nd_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_scatter_nd_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLESCATTER_ND_H__
    19
    - +
    22
    24
    @@ -155,7 +155,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_segment_sum_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_segment_sum_8h.html index f1380eea740..b61c746acb2 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_segment_sum_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_segment_sum_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_segment_sum_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_segment_sum_8h_source.html index b72fe5c1487..fb4b8b62a71 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_segment_sum_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_segment_sum_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_SEGMENT_SUM_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_select_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_select_8h.html index 66ca0b31ffb..17ce5e18097 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_select_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_select_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_select_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_select_8h_source.html index 1f643a8cd16..bdea51b4c59 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_select_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_select_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_SELECT_H__
    19
    - +
    22
    24
    @@ -155,7 +155,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_select_v2_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_select_v2_8h.html index 0cd7d1f3df0..f34c4807885 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_select_v2_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_select_v2_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_select_v2_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_select_v2_8h_source.html index 60c93040e8f..04d3a3369e4 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_select_v2_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_select_v2_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_SELECT_V2_H__
    19
    - +
    22
    24
    @@ -155,7 +155,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_shape_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_shape_8h.html index e265baf4414..41c35a1ba6f 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_shape_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_shape_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_shape_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_shape_8h_source.html index fa3e3f267bd..1964a725006 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_shape_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_shape_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_SHAPE_H__
    19
    - +
    22
    24
    @@ -154,7 +154,7 @@
    Nodes with the fixed number of inputs.
    - +
    DataType
    "scalar" value type
    Definition DataType.h:27
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sin_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sin_8h.html index be8632dd1f7..c1326825491 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sin_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sin_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sin_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sin_8h_source.html index 4584b9d28ad..63211dd0bf7 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sin_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sin_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_SIN_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_slice_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_slice_8h.html index ace7dbee716..fe52acf978d 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_slice_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_slice_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_slice_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_slice_8h_source.html index 9de36b94f54..c19e79459f4 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_slice_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_slice_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_SLICE_H__
    19
    - +
    22
    24
    @@ -155,7 +155,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_softmax_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_softmax_8h.html index 0d2f02e549c..18c2e5ab83b 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_softmax_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_softmax_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_softmax_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_softmax_8h_source.html index e16c603fd14..7268b08f5a0 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_softmax_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_softmax_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLESOFTMAX_H__
    19
    - +
    22
    24
    @@ -154,7 +154,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_space_to_batch_n_d_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_space_to_batch_n_d_8h.html index 4da6fa4d998..7228585addd 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_space_to_batch_n_d_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_space_to_batch_n_d_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_space_to_batch_n_d_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_space_to_batch_n_d_8h_source.html index cf81b11aa76..eb3cc3e45f0 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_space_to_batch_n_d_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_space_to_batch_n_d_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_SPACETOBATCHND_H__
    19
    - +
    22
    24
    @@ -156,7 +156,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_space_to_depth_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_space_to_depth_8h.html index e03d05034e5..fa3d699b417 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_space_to_depth_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_space_to_depth_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_space_to_depth_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_space_to_depth_8h_source.html index 345c27c9f35..de13c02cb88 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_space_to_depth_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_space_to_depth_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_SPACETODEPTH_H__
    19
    - +
    22
    24
    @@ -155,7 +155,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sparse_to_dense_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sparse_to_dense_8h.html index eda76bb2830..b10914dc4f3 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sparse_to_dense_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sparse_to_dense_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sparse_to_dense_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sparse_to_dense_8h_source.html index dcc7984f7db..b63da1badde 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sparse_to_dense_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sparse_to_dense_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCELSPARSETODENSE_H__
    19
    - +
    22
    24
    @@ -170,7 +170,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_split_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_split_8h.html index 5b0df3c418a..eaef8a64957 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_split_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_split_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_split_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_split_8h_source.html index ddcb65fb06f..c5d6d46670e 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_split_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_split_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_SPLIT_H__
    19
    - +
    22
    24
    @@ -160,7 +160,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_split_v_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_split_v_8h.html index fa9af91e21e..3b426716a8f 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_split_v_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_split_v_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_split_v_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_split_v_8h_source.html index 4be6e025eda..938d14b0864 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_split_v_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_split_v_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_SPLIT_V_H__
    19
    - +
    22
    24
    @@ -165,7 +165,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sqrt_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sqrt_8h.html index 09bbee7ad8d..e52192a516a 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sqrt_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sqrt_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sqrt_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sqrt_8h_source.html index 4b6771202d8..fc5019c31eb 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sqrt_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sqrt_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLESQRT_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_square_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_square_8h.html index 67c87dfcbcc..7b9500130c2 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_square_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_square_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_square_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_square_8h_source.html index 0fd225018d8..96c09546d5b 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_square_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_square_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLESQUARE_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_squared_difference_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_squared_difference_8h.html index 5a021dbab5d..131573e882b 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_squared_difference_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_squared_difference_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_squared_difference_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_squared_difference_8h_source.html index 0403130b1a4..dc0af7f4ec7 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_squared_difference_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_squared_difference_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLESQUAREDIFFERENCE_H__
    19
    - +
    22
    24
    @@ -151,7 +151,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_squeeze_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_squeeze_8h.html index 223dae996e1..f772cd36e14 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_squeeze_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_squeeze_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_squeeze_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_squeeze_8h_source.html index 131ba6ef40f..790168531ee 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_squeeze_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_squeeze_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLESQUEEZE_H__
    19
    - +
    22
    24
    @@ -154,7 +154,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_strided_slice_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_strided_slice_8h.html index 4cf69121e6b..9c563a203ab 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_strided_slice_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_strided_slice_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_strided_slice_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_strided_slice_8h_source.html index 5f98221c007..f4a7872ce70 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_strided_slice_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_strided_slice_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_STRIDEDSLICE_H__
    19
    - +
    22
    24
    @@ -194,7 +194,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sub_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sub_8h.html index cdab3827746..6460d0bba63 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sub_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sub_8h.html @@ -96,7 +96,7 @@
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sub_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sub_8h_source.html index c04a97ac442..3b67d5897ce 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sub_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sub_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLESUB_H__
    19
    - +
    22
    @@ -154,7 +154,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sum_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sum_8h.html index 730447861f0..c307909c44c 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sum_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sum_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sum_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sum_8h_source.html index ed827d432d9..cc94b463a1e 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sum_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sum_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLESUM_H__
    19
    - +
    22
    24
    @@ -159,7 +159,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_tanh_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_tanh_8h.html index 0a0ab532cba..dc351ca7e65 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_tanh_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_tanh_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_tanh_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_tanh_8h_source.html index fb2de9bb481..19e5e951240 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_tanh_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_tanh_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLETANH_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_tile_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_tile_8h.html index eb229193209..364b6000a7e 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_tile_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_tile_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_tile_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_tile_8h_source.html index fea46892649..7569e7ae97a 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_tile_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_tile_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLETILE_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_top_k_v2_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_top_k_v2_8h.html index 0c333fdde77..f70d0cafac0 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_top_k_v2_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_top_k_v2_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_top_k_v2_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_top_k_v2_8h_source.html index 77b3e1cc902..14ff0a9137b 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_top_k_v2_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_top_k_v2_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_TOPK_V2_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_transpose_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_transpose_8h.html index 6330076ebe0..b29a12308c0 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_transpose_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_transpose_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_transpose_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_transpose_8h_source.html index 20df912119f..003bf0aa635 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_transpose_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_transpose_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLETRANSPOSE_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_transpose_conv_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_transpose_conv_8h.html index f4cf14de822..88ea724ce6b 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_transpose_conv_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_transpose_conv_8h.html @@ -96,7 +96,7 @@
    #include "luci/IR/CircleNodeDecl.h"
    -#include "luci/IR/CircleOpcode.h"
    +#include "luci/IR/CircleOpcode.h"
    #include "luci/IR/AttrPadding.h"
    #include "luci/IR/AttrStride.h"
    #include "luci/IR/CircleNodeMixins.h"
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_transpose_conv_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_transpose_conv_8h_source.html index 0191c08778b..eac0c81a51c 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_transpose_conv_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_transpose_conv_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLETRANSPOSECONV_H__
    19
    - +
    22
    23#include "luci/IR/AttrPadding.h"
    24#include "luci/IR/AttrStride.h"
    @@ -185,7 +185,7 @@ - + diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_unidirectional_sequence_l_s_t_m_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_unidirectional_sequence_l_s_t_m_8h.html index bbe19451b70..7fce198786e 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_unidirectional_sequence_l_s_t_m_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_unidirectional_sequence_l_s_t_m_8h.html @@ -96,7 +96,7 @@
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_unidirectional_sequence_l_s_t_m_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_unidirectional_sequence_l_s_t_m_8h_source.html index 016881331df..2bdd50ed215 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_unidirectional_sequence_l_s_t_m_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_unidirectional_sequence_l_s_t_m_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEUNIDIRECTIONALSEQUENCELSTM_H__
    19
    - +
    22
    @@ -278,7 +278,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_unique_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_unique_8h.html index c4e94cb7c14..f97ec7606e9 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_unique_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_unique_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_unique_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_unique_8h_source.html index 33ee9864896..fd7bd8f0c9a 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_unique_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_unique_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCELUNIQUE_H__
    19
    - +
    22
    24
    @@ -154,7 +154,7 @@
    Nodes with the fixed number of inputs.
    - +
    DataType
    "scalar" value type
    Definition DataType.h:27
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_unpack_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_unpack_8h.html index 0b895a33c7c..9e72b966b15 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_unpack_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_unpack_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_unpack_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_unpack_8h_source.html index 099aa0af7a3..5edd125db4b 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_unpack_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_unpack_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_UNPACK_H__
    19
    - +
    22
    24
    @@ -160,7 +160,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_variable_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_variable_8h.html index d76f25cef64..dc3d13b6758 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_variable_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_variable_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_variable_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_variable_8h_source.html index c00b1257145..114244a4f97 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_variable_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_variable_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_VARIABLE_H__
    19
    - +
    22
    24
    @@ -140,7 +140,7 @@
    CircleVariable()=default
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_where_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_where_8h.html index f530b0e68b2..69284c02dde 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_where_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_where_8h.html @@ -96,7 +96,7 @@
    #include "luci/IR/CircleNodeDecl.h"
    -#include "luci/IR/CircleOpcode.h"
    +#include "luci/IR/CircleOpcode.h"
    #include "luci/IR/CircleNodeMixins.h"
    #include <cassert>
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_where_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_where_8h_source.html index 00fdb799f22..c38b1148118 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_where_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_where_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_WHERE_H__
    19
    - +
    22
    24
    @@ -147,7 +147,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_while_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_while_8h.html index eefda82bd21..a42ce46ad20 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_while_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_while_8h.html @@ -96,7 +96,7 @@
    #include "luci/IR/CircleNodeDecl.h"
    -#include "luci/IR/CircleOpcode.h"
    +#include "luci/IR/CircleOpcode.h"
    #include "luci/IR/VariadicArityNode.h"
    #include <cassert>
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_while_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_while_8h_source.html index 51818c26cde..bafbe74b90c 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_while_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_while_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_WHILE_H__
    19
    - +
    22
    24
    @@ -198,10 +198,10 @@
    uint32_t arity(void) const final
    Return the number of arguments.
    - + - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_zeros_like_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_zeros_like_8h.html index e90a18acd66..246c52b79c6 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_zeros_like_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_zeros_like_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_zeros_like_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_zeros_like_8h_source.html index 16213865375..9daeeeb1204 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_zeros_like_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_zeros_like_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_ZEROS_LIKE_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/libnnfw__api__pybind_8py_source.html b/libnnfw__api__pybind_8py_source.html index 6629f246458..dbdc7553cd1 100644 --- a/libnnfw__api__pybind_8py_source.html +++ b/libnnfw__api__pybind_8py_source.html @@ -212,7 +212,7 @@
    __init__(self, nnpackage_path, backends="cpu", operations="")
    - + diff --git a/library__info_8cc.html b/library__info_8cc.html index 20c87ec7580..d209557202c 100644 --- a/library__info_8cc.html +++ b/library__info_8cc.html @@ -121,7 +121,7 @@

    Definition at line 17 of file library_info.cc.

    -

    Referenced by onert::backend::acl_common::asTensorInfo(), enco::SubnetStructBuilder::build(), onert::backend::acl_common::AclTensorManager< T_ITensor, T_Tensor, T_SubTensor >::buildTensor(), onert::backend::acl_common::AclMemoryManager< T_ITensor, T_Tensor, T_SubTensor >::buildTensor(), onert::backend::gpu_cl::MemoryManager::buildTensor(), onert::backend::gpu_cl::TensorManager::buildTensor(), arm_compute::misc::shape_calculator::compute_transposeconv_upsampled_shape(), arm_compute::CLPadLayerEx::configure(), arm_compute::CLDirectTransposeConvLayer::configure(), arm_compute::CLDirectTransposeConvLayer::configure(), arm_compute::NEReduceSum::configure(), arm_compute::NEReduceOperation::configure(), arm_compute::NETransposeConvLayer::configure(), enco::CppCode::dump(), exo::circle_detail::exportOpDefinedTensor(), exo::tflite_detail::exportOpDefinedTensor(), enco::generate_global_data(), nnfw_session::input_tensorinfo(), onert::backend::acl_common::kernelGenPool2D(), luci::layer_info_map(), nnfw::loadFunction(), main(), nnfw_register_custom_op_info(), nnfw_train_expected_tensorinfo(), nnfw_train_get_traininfo(), nnfw_train_input_tensorinfo(), nnfw_train_set_traininfo(), exo::ProgressReporter::notify(), luci::ProgressReporter::notify(), luci::ModuleProgressReporter::notify(), moco::tf::ProgressReporter::notify(), exo::ProgressReporter::notify(), luci::ProgressReporter::notify(), luci::ModuleProgressReporter::notify(), moco::tf::ProgressReporter::notify(), logo::PhaseRunnerMixinObservable::notifyPassBegin(), logo::PhaseRunnerMixinObservable::notifyPassEnd(), logo::PhaseRunnerMixinObservable::notifyPhaseBegin(), logo::PhaseRunnerMixinObservable::notifyPhaseEnd(), nnfw_session::output_tensorinfo(), onert::backend::cl_common::BackendContext< T_TensorBuilder, T_ConstantInitializer, T_KernelGenerator >::planTensors(), onert::backend::basic::planTensors(), luci::CircleQuantizer::quantize(), onert::backend::train::TensorBuilder::registerBackwardTensorInfo(), onert::backend::acl_common::AclTensorBuilder< T_ITensor, T_Tensor, T_SubTensor >::registerTensorInfo(), onert::backend::train::TensorBuilder::registerTensorInfo(), onert::backend::basic::TensorBuilder::registerTensorInfo(), onert::backend::builtin::TensorBuilder::registerTensorInfo(), onert::backend::acl_common::AclBackendContext< T_TensorBuilder, T_ConstantInitializer, T_KernelGenerator, T_Optimizer >::registerTensorInfo(), onert::backend::gpu_cl::BackendContext::registerTensorInfo(), onert::backend::gpu_cl::TensorBuilder::registerTensorInfo(), arm_compute::NECastBoolKernel::run(), arm_compute::NEEmbeddingLookupKernel::run(), arm_compute::NEGatherKernelEx::run(), arm_compute::NEGEMMMatrixAccumulateBiasesKernel::run(), arm_compute::NEHashtableLookupKernel::run(), arm_compute::NEInstanceNormalizationLayerKernelEx::run(), arm_compute::NEMultiplyScaleFactorKernel::run(), arm_compute::NEOneHotKernel::run(), arm_compute::NEQuantizationSymmetricKernel::run(), onert::backend::trix::setDataInfo(), onert::exec::Execution::setInput(), onert::exec::Execution::setInput(), onert::exec::Execution::setOutput(), onert::exec::Execution::setOutput(), nnfw_session::train_get_traininfo(), nnfw_session::train_set_traininfo(), arm_compute::transposeconv_output_dimensions(), arm_compute::CLPadLayerEx::validate(), arm_compute::NETransposeConvLayer::validate(), and arm_compute::CLDirectTransposeConvLayer::validate().

    +

    Referenced by onert::backend::acl_common::asTensorInfo(), enco::SubnetStructBuilder::build(), onert::backend::acl_common::AclTensorManager< T_ITensor, T_Tensor, T_SubTensor >::buildTensor(), onert::backend::acl_common::AclMemoryManager< T_ITensor, T_Tensor, T_SubTensor >::buildTensor(), onert::backend::gpu_cl::MemoryManager::buildTensor(), onert::backend::gpu_cl::TensorManager::buildTensor(), arm_compute::misc::shape_calculator::compute_transposeconv_upsampled_shape(), arm_compute::CLPadLayerEx::configure(), arm_compute::CLDirectTransposeConvLayer::configure(), arm_compute::CLDirectTransposeConvLayer::configure(), arm_compute::NEReduceSum::configure(), arm_compute::NEReduceOperation::configure(), arm_compute::NETransposeConvLayer::configure(), enco::CppCode::dump(), exo::circle_detail::exportOpDefinedTensor(), exo::tflite_detail::exportOpDefinedTensor(), enco::generate_global_data(), nnfw_session::input_tensorinfo(), onert::backend::acl_common::kernelGenPool2D(), luci::layer_info_map(), nnfw::loadFunction(), main(), nnfw_register_custom_op_info(), nnfw_train_expected_tensorinfo(), nnfw_train_get_traininfo(), nnfw_train_input_tensorinfo(), nnfw_train_set_traininfo(), exo::ProgressReporter::notify(), luci::ProgressReporter::notify(), luci::ModuleProgressReporter::notify(), moco::tf::ProgressReporter::notify(), exo::ProgressReporter::notify(), luci::ProgressReporter::notify(), luci::ModuleProgressReporter::notify(), moco::tf::ProgressReporter::notify(), logo::PhaseRunnerMixinObservable::notifyPassBegin(), logo::PhaseRunnerMixinObservable::notifyPassEnd(), logo::PhaseRunnerMixinObservable::notifyPhaseBegin(), logo::PhaseRunnerMixinObservable::notifyPhaseEnd(), nnfw_session::output_tensorinfo(), onert::backend::cl_common::BackendContext< T_TensorBuilder, T_ConstantInitializer, T_KernelGenerator >::planTensors(), onert::backend::basic::planTensors(), luci::CircleQuantizer::quantize(), onert::backend::train::TensorBuilder::registerBackwardTensorInfo(), onert::backend::acl_common::AclTensorBuilder< T_ITensor, T_Tensor, T_SubTensor >::registerTensorInfo(), onert::backend::train::TensorBuilder::registerTensorInfo(), onert::backend::basic::TensorBuilder::registerTensorInfo(), onert::backend::builtin::TensorBuilder::registerTensorInfo(), onert::backend::acl_common::AclBackendContext< T_TensorBuilder, T_ConstantInitializer, T_KernelGenerator, T_Optimizer >::registerTensorInfo(), onert::backend::gpu_cl::BackendContext::registerTensorInfo(), onert::backend::gpu_cl::TensorBuilder::registerTensorInfo(), arm_compute::NECastBoolKernel::run(), arm_compute::NEEmbeddingLookupKernel::run(), arm_compute::NEGatherKernelEx::run(), arm_compute::NEGEMMMatrixAccumulateBiasesKernel::run(), arm_compute::NEHashtableLookupKernel::run(), arm_compute::NEInstanceNormalizationLayerKernelEx::run(), arm_compute::NEMultiplyScaleFactorKernel::run(), arm_compute::NEOneHotKernel::run(), arm_compute::NEQuantizationSymmetricKernel::run(), onert::backend::trix::setDataInfo(), onert::exec::Execution::setInput(), onert::exec::Execution::setInput(), onert::exec::Execution::setOutput(), onert::exec::Execution::setOutput(), nnfw_session::train_get_traininfo(), nnfw_session::train_set_traininfo(), arm_compute::transposeconv_output_dimensions(), arm_compute::CLPadLayerEx::validate(), arm_compute::NETransposeConvLayer::validate(), and arm_compute::CLDirectTransposeConvLayer::validate().

    diff --git a/luci_2lang_2include_2luci_2_i_r_2_circle_node_decl_8h.html b/luci_2lang_2include_2luci_2_i_r_2_circle_node_decl_8h.html index 808c94b211e..9ab3e697a34 100644 --- a/luci_2lang_2include_2luci_2_i_r_2_circle_node_decl_8h.html +++ b/luci_2lang_2include_2luci_2_i_r_2_circle_node_decl_8h.html @@ -100,7 +100,7 @@ #include <loco/IR/Node.h>
    #include <loco/IR/NodeMixins.h>
    #include <luci/IR/PropertyShapeStatus.h>
    -#include "CircleOpcode.h"
    +#include "CircleOpcode.h"
    #include "CircleNodeVisitor.forward.h"
    #include "CircleQuantParam.h"
    #include "SparsityParam.h"
    diff --git a/luci_2lang_2include_2luci_2_i_r_2_circle_node_decl_8h_source.html b/luci_2lang_2include_2luci_2_i_r_2_circle_node_decl_8h_source.html index b6abf092bed..628890061b7 100644 --- a/luci_2lang_2include_2luci_2_i_r_2_circle_node_decl_8h_source.html +++ b/luci_2lang_2include_2luci_2_i_r_2_circle_node_decl_8h_source.html @@ -121,7 +121,7 @@
    22#include <loco/IR/NodeMixins.h>
    24
    -
    25#include "CircleOpcode.h"
    +
    25#include "CircleOpcode.h"
    27#include "CircleQuantParam.h"
    28#include "SparsityParam.h"
    @@ -203,10 +203,10 @@ - +
    std::string NodeName
    - +
    ShapeStatus
    ShapeStatus is to remember circle node shape status.
    diff --git a/luci_2lang_2include_2luci_2_i_r_2_circle_op_code_8h.js b/luci_2lang_2include_2luci_2_i_r_2_circle_op_code_8h.js deleted file mode 100644 index 7010a762dad..00000000000 --- a/luci_2lang_2include_2luci_2_i_r_2_circle_op_code_8h.js +++ /dev/null @@ -1,9 +0,0 @@ -var luci_2lang_2include_2luci_2_i_r_2_circle_op_code_8h = -[ - [ "CIRCLE_NODE", "luci_2lang_2include_2luci_2_i_r_2_circle_op_code_8h.html#a0bf95843a4ca2404557403f869f84fc3", null ], - [ "CIRCLE_VNODE", "luci_2lang_2include_2luci_2_i_r_2_circle_op_code_8h.html#a8bd1e3a70df2bcae5c3105526130878c", null ], - [ "CircleOpcode", "luci_2lang_2include_2luci_2_i_r_2_circle_op_code_8h.html#a311e4e8fc7a65afbda7a68d7a12d3ffc", [ - [ "CIRCLE_NODE", "luci_2lang_2include_2luci_2_i_r_2_circle_op_code_8h.html#a311e4e8fc7a65afbda7a68d7a12d3ffcace20b93d18f40841aa5b47b9632076a6", null ], - [ "CIRCLE_VNODE", "luci_2lang_2include_2luci_2_i_r_2_circle_op_code_8h.html#a311e4e8fc7a65afbda7a68d7a12d3ffca8ddfc2d3f241acbc6d6c569ee4c71246", null ] - ] ] -]; \ No newline at end of file diff --git a/luci_2lang_2include_2luci_2_i_r_2_circle_op_code_8h.html b/luci_2lang_2include_2luci_2_i_r_2_circle_opcode_8h.html similarity index 89% rename from luci_2lang_2include_2luci_2_i_r_2_circle_op_code_8h.html rename to luci_2lang_2include_2luci_2_i_r_2_circle_opcode_8h.html index bd0cc6a1a6f..dad5bc6af88 100644 --- a/luci_2lang_2include_2luci_2_i_r_2_circle_op_code_8h.html +++ b/luci_2lang_2include_2luci_2_i_r_2_circle_opcode_8h.html @@ -63,7 +63,7 @@
    @@ -98,7 +98,7 @@

    @@ -107,9 +107,9 @@

    Namespaces

    - + - +

    Macros

    #define CIRCLE_NODE(OPCODE, CLASS)   OPCODE,
    #define CIRCLE_NODE(OPCODE, CLASS)   OPCODE,
     
    #define CIRCLE_VNODE   CIRCLE_NODE
    #define CIRCLE_VNODE   CIRCLE_NODE
     

    @@ -146,7 +146,7 @@

    -

    Definition at line 25 of file CircleOpcode.h.

    +

    Definition at line 25 of file CircleOpcode.h.

    @@ -162,7 +162,7 @@

    -

    Definition at line 26 of file CircleOpcode.h.

    +

    Definition at line 26 of file CircleOpcode.h.

    @@ -171,7 +171,7 @@

    diff --git a/luci_2lang_2include_2luci_2_i_r_2_circle_opcode_8h.js b/luci_2lang_2include_2luci_2_i_r_2_circle_opcode_8h.js new file mode 100644 index 00000000000..996d6e245bd --- /dev/null +++ b/luci_2lang_2include_2luci_2_i_r_2_circle_opcode_8h.js @@ -0,0 +1,9 @@ +var luci_2lang_2include_2luci_2_i_r_2_circle_opcode_8h = +[ + [ "CIRCLE_NODE", "luci_2lang_2include_2luci_2_i_r_2_circle_opcode_8h.html#a0bf95843a4ca2404557403f869f84fc3", null ], + [ "CIRCLE_VNODE", "luci_2lang_2include_2luci_2_i_r_2_circle_opcode_8h.html#a8bd1e3a70df2bcae5c3105526130878c", null ], + [ "CircleOpcode", "luci_2lang_2include_2luci_2_i_r_2_circle_opcode_8h.html#a311e4e8fc7a65afbda7a68d7a12d3ffc", [ + [ "CIRCLE_NODE", "luci_2lang_2include_2luci_2_i_r_2_circle_opcode_8h.html#a311e4e8fc7a65afbda7a68d7a12d3ffcace20b93d18f40841aa5b47b9632076a6", null ], + [ "CIRCLE_VNODE", "luci_2lang_2include_2luci_2_i_r_2_circle_opcode_8h.html#a311e4e8fc7a65afbda7a68d7a12d3ffca8ddfc2d3f241acbc6d6c569ee4c71246", null ] + ] ] +]; \ No newline at end of file diff --git a/luci_2lang_2include_2luci_2_i_r_2_circle_op_code_8h_source.html b/luci_2lang_2include_2luci_2_i_r_2_circle_opcode_8h_source.html similarity index 92% rename from luci_2lang_2include_2luci_2_i_r_2_circle_op_code_8h_source.html rename to luci_2lang_2include_2luci_2_i_r_2_circle_opcode_8h_source.html index 21cfc63d654..f5a72fd16b0 100644 --- a/luci_2lang_2include_2luci_2_i_r_2_circle_op_code_8h_source.html +++ b/luci_2lang_2include_2luci_2_i_r_2_circle_opcode_8h_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    CircleOpcode.h
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -122,8 +122,8 @@
    23enum class CircleOpcode
    24{
    -
    25#define CIRCLE_NODE(OPCODE, CLASS) OPCODE,
    -
    26#define CIRCLE_VNODE CIRCLE_NODE
    +
    25#define CIRCLE_NODE(OPCODE, CLASS) OPCODE,
    +
    26#define CIRCLE_VNODE CIRCLE_NODE
    27#include "CircleNodes.lst"
    28#undef CIRCLE_VNODE
    29#undef CIRCLE_NODE
    @@ -134,13 +134,13 @@
    33
    34#endif // __LUCI_IR_CIRCLEOPCODE_H__
    - +
    diff --git a/luci_2partition_2src_2_circle_op_code_8h.js b/luci_2partition_2src_2_circle_op_code_8h.js deleted file mode 100644 index 748e9dc5616..00000000000 --- a/luci_2partition_2src_2_circle_op_code_8h.js +++ /dev/null @@ -1,4 +0,0 @@ -var luci_2partition_2src_2_circle_op_code_8h = -[ - [ "opcode_name", "luci_2partition_2src_2_circle_op_code_8h.html#a3ecf4be562fa9dde5bbc387ea5a26e0a", null ] -]; \ No newline at end of file diff --git a/luci_2partition_2src_2_circle_op_code_8h.html b/luci_2partition_2src_2_circle_opcode_8h.html similarity index 96% rename from luci_2partition_2src_2_circle_op_code_8h.html rename to luci_2partition_2src_2_circle_opcode_8h.html index 5cdd1640900..b00e8b68012 100644 --- a/luci_2partition_2src_2_circle_op_code_8h.html +++ b/luci_2partition_2src_2_circle_opcode_8h.html @@ -63,7 +63,7 @@
    @@ -98,7 +98,7 @@
    #include <luci/IR/CircleNode.h>
    #include <string>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    @@ -115,7 +115,7 @@ diff --git a/luci_2partition_2src_2_circle_opcode_8h.js b/luci_2partition_2src_2_circle_opcode_8h.js new file mode 100644 index 00000000000..f312ba51b59 --- /dev/null +++ b/luci_2partition_2src_2_circle_opcode_8h.js @@ -0,0 +1,4 @@ +var luci_2partition_2src_2_circle_opcode_8h = +[ + [ "opcode_name", "luci_2partition_2src_2_circle_opcode_8h.html#a3ecf4be562fa9dde5bbc387ea5a26e0a", null ] +]; \ No newline at end of file diff --git a/luci_2partition_2src_2_circle_op_code_8h_source.html b/luci_2partition_2src_2_circle_opcode_8h_source.html similarity index 96% rename from luci_2partition_2src_2_circle_op_code_8h_source.html rename to luci_2partition_2src_2_circle_opcode_8h_source.html index ea29a97b1af..b760d8860f6 100644 --- a/luci_2partition_2src_2_circle_op_code_8h_source.html +++ b/luci_2partition_2src_2_circle_opcode_8h_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    CircleOpCode.h
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2021 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -136,7 +136,7 @@ diff --git a/luci_2service_2include_2luci_2_service_2_circle_shape_inference_rule_8h_source.html b/luci_2service_2include_2luci_2_service_2_circle_shape_inference_rule_8h_source.html index 0120f1c954e..a514969cf61 100644 --- a/luci_2service_2include_2luci_2_service_2_circle_shape_inference_rule_8h_source.html +++ b/luci_2service_2include_2luci_2_service_2_circle_shape_inference_rule_8h_source.html @@ -125,7 +125,7 @@
    26{
    27 bool recognize(const loco::Dialect *) const final;
    -
    28 bool infer(const loco::Node *, loco::NodeShape &) const final;
    +
    28 bool infer(const loco::Node *, loco::NodeShape &) const final;
    29};
    30
    @@ -137,7 +137,7 @@ -
    std::vector< float > infer()
    Definition main.cpp:25
    +
    std::vector< float > infer()
    Definition main.cpp:25
    bool recognize(const loco::Dialect *) const final
    Return true if this rule recognizes a given dialect.
    diff --git a/luci_2service_2include_2luci_2_service_2_circle_type_inference_8h_source.html b/luci_2service_2include_2luci_2_service_2_circle_type_inference_8h_source.html index e7351f03662..487297c9d00 100644 --- a/luci_2service_2include_2luci_2_service_2_circle_type_inference_8h_source.html +++ b/luci_2service_2include_2luci_2_service_2_circle_type_inference_8h_source.html @@ -132,7 +132,7 @@
    32struct Rule
    33{
    -
    34 bool infer(const luci::CircleNode *, loco::DataType &) const;
    +
    34 bool infer(const luci::CircleNode *, loco::DataType &) const;
    35};
    36
    @@ -302,7 +302,7 @@
    DataType
    "scalar" value type
    Definition DataType.h:27
    -
    std::vector< float > infer()
    Definition main.cpp:25
    +
    std::vector< float > infer()
    Definition main.cpp:25
    Type Inference Rule for CircleDialect.
    diff --git a/luci_2service_2include_2luci_2_service_2_circle_type_inference_rule_8h_source.html b/luci_2service_2include_2luci_2_service_2_circle_type_inference_rule_8h_source.html index a1c78bd7b14..ff632194dc8 100644 --- a/luci_2service_2include_2luci_2_service_2_circle_type_inference_rule_8h_source.html +++ b/luci_2service_2include_2luci_2_service_2_circle_type_inference_rule_8h_source.html @@ -125,7 +125,7 @@
    29{
    30 bool recognize(const loco::Dialect *) const final;
    -
    31 bool infer(const loco::Node *, loco::DataType &) const final;
    +
    31 bool infer(const loco::Node *, loco::DataType &) const final;
    32};
    33
    @@ -137,7 +137,7 @@
    Logical unit of computation.
    Definition Node.h:54
    DataType
    "scalar" value type
    Definition DataType.h:27
    -
    std::vector< float > infer()
    Definition main.cpp:25
    +
    std::vector< float > infer()
    Definition main.cpp:25
    Type Inference Rule for CircleDialect.
    bool recognize(const loco::Dialect *) const final
    Return true if this rule recognizes a given dialect.
    diff --git a/main_8cc.html b/main_8cc.html index 12293c9471c..cedd4ae2f2e 100644 --- a/main_8cc.html +++ b/main_8cc.html @@ -135,7 +135,7 @@

    23{
    25
    -
    26 VERBOSE(main) << "Starting npud\n";
    +
    26 VERBOSE(main) << "Starting npud\n";
    27 try
    28 {
    29 server.run();
    @@ -146,14 +146,14 @@

    34 return 1;

    -
    37 VERBOSE(main) << "Finished npud\n";
    +
    37 VERBOSE(main) << "Finished npud\n";
    38 return 0;
    39}
    static Server & instance(void)
    Definition Server.h:45
    #define VERBOSE(name, lv)
    Definition Log.h:71
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    -

    References npud::core::Server::instance(), main(), and VERBOSE.

    +

    References npud::core::Server::instance(), main(), and VERBOSE.

    diff --git a/main_8cc_source.html b/main_8cc_source.html index 7b77cbc1350..9f424ce7442 100644 --- a/main_8cc_source.html +++ b/main_8cc_source.html @@ -119,11 +119,11 @@
    20using namespace npud;
    21
    -
    22int main(int argc, const char *argv[])
    +
    22int main(int argc, const char *argv[])
    23{
    24 auto &server = core::Server::instance();
    25
    -
    26 VERBOSE(main) << "Starting npud\n";
    +
    26 VERBOSE(main) << "Starting npud\n";
    27 try
    28 {
    29 server.run();
    @@ -134,7 +134,7 @@
    34 return 1;
    35 }
    36
    -
    37 VERBOSE(main) << "Finished npud\n";
    +
    37 VERBOSE(main) << "Finished npud\n";
    38 return 0;
    39}
    @@ -142,7 +142,7 @@
    static Server & instance(void)
    Definition Server.h:45
    #define VERBOSE(name, lv)
    Definition Log.h:71
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/mcu_2_p_a_lreference__ops_8h_source.html b/mcu_2_p_a_lreference__ops_8h_source.html index 11661b25b23..2111a110736 100644 --- a/mcu_2_p_a_lreference__ops_8h_source.html +++ b/mcu_2_p_a_lreference__ops_8h_source.html @@ -196,7 +196,7 @@
    97inline void Relu(const RuntimeShape &input_shape, const T *input_data,
    98 const RuntimeShape &output_shape, T *output_data)
    99{
    -
    100 const int flat_size = MatchingFlatSize(input_shape, output_shape);
    +
    100 const int flat_size = MatchingFlatSize(input_shape, output_shape);
    101 for (int i = 0; i < flat_size; ++i)
    102 {
    103 const T val = input_data[i];
    @@ -211,7 +211,7 @@
    112 const RuntimeShape &output_shape, T *output_data)
    113{
    114 ruy::profiler::ScopeLabel label("Relu1 (not fused)");
    -
    115 const int flat_size = MatchingFlatSize(input_shape, output_shape);
    +
    115 const int flat_size = MatchingFlatSize(input_shape, output_shape);
    116 for (int i = 0; i < flat_size; ++i)
    117 {
    118 const T val = input_data[i];
    @@ -226,7 +226,7 @@
    127 const RuntimeShape &output_shape, float *output_data)
    128{
    129 ruy::profiler::ScopeLabel label("Relu6 (not fused)");
    -
    130 const int flat_size = MatchingFlatSize(input_shape, output_shape);
    +
    130 const int flat_size = MatchingFlatSize(input_shape, output_shape);
    131 for (int i = 0; i < flat_size; ++i)
    132 {
    133 const float val = input_data[i];
    @@ -242,7 +242,7 @@
    143 const T *input_data, const RuntimeShape &output_shape, T *output_data)
    144{
    145 ruy::profiler::ScopeLabel label("Quantized ReluX (not fused)");
    -
    146 const int flat_size = MatchingFlatSize(input_shape, output_shape);
    +
    146 const int flat_size = MatchingFlatSize(input_shape, output_shape);
    147 for (int i = 0; i < flat_size; ++i)
    148 {
    149 const int32 val = static_cast<int32_t>(input_data[i]);
    @@ -260,7 +260,7 @@
    161 const T *input_data, const RuntimeShape &output_shape, T *output_data)
    162{
    163 ruy::profiler::ScopeLabel label("Quantized ReluX (not fused)");
    -
    164 const int flat_size = MatchingFlatSize(input_shape, output_shape);
    +
    164 const int flat_size = MatchingFlatSize(input_shape, output_shape);
    165 const T max_value = params.quantized_activation_max;
    166 const T min_value = params.quantized_activation_min;
    167 for (int i = 0; i < flat_size; ++i)
    @@ -639,22 +639,22 @@
    540 const float input_gate =
    541 1.f /
    542 (1.f +
    -
    543 std::exp(-activ_temp_data[Offset(activ_temp_shape, b, h, w, 0 * output_depth + c)]));
    +
    543 std::exp(-activ_temp_data[Offset(activ_temp_shape, b, h, w, 0 * output_depth + c)]));
    544 const float new_input =
    -
    545 std::tanh(activ_temp_data[Offset(activ_temp_shape, b, h, w, 1 * output_depth + c)]);
    +
    545 std::tanh(activ_temp_data[Offset(activ_temp_shape, b, h, w, 1 * output_depth + c)]);
    546 const float forget_gate =
    547 1.f /
    548 (1.f +
    -
    549 std::exp(-activ_temp_data[Offset(activ_temp_shape, b, h, w, 2 * output_depth + c)]));
    +
    549 std::exp(-activ_temp_data[Offset(activ_temp_shape, b, h, w, 2 * output_depth + c)]));
    550 const float output_gate =
    551 1.f /
    552 (1.f +
    -
    553 std::exp(-activ_temp_data[Offset(activ_temp_shape, b, h, w, 3 * output_depth + c)]));
    +
    553 std::exp(-activ_temp_data[Offset(activ_temp_shape, b, h, w, 3 * output_depth + c)]));
    554 const float new_state =
    555 input_gate * new_input +
    -
    556 forget_gate * prev_state_data[Offset(prev_state_shape, b, h, w, c)];
    -
    557 output_state_data[Offset(output_state_shape, b, h, w, c)] = new_state;
    -
    558 output_activ_data[Offset(output_activ_shape, b, h, w, c)] =
    +
    556 forget_gate * prev_state_data[Offset(prev_state_shape, b, h, w, c)];
    +
    557 output_state_data[Offset(output_state_shape, b, h, w, c)] = new_state;
    +
    558 output_activ_data[Offset(output_activ_shape, b, h, w, c)] =
    559 output_gate * std::tanh(new_state);
    560 }
    561 }
    @@ -1000,7 +1000,7 @@
    901inline void Dequantize(const RuntimeShape &input_shape, const Eigen::half *input_data,
    902 const RuntimeShape &output_shape, float *output_data)
    903{
    -
    904 const int flat_size = MatchingFlatSize(input_shape, output_shape);
    +
    904 const int flat_size = MatchingFlatSize(input_shape, output_shape);
    905 for (int i = 0; i < flat_size; i++)
    906 {
    907 output_data[i] = static_cast<float>(input_data[i]);
    @@ -1025,7 +1025,7 @@
    926 int quant_max = (1 << num_bits) - 1;
    927 float nudged_min, nudged_max, nudged_scale;
    928 NudgeQuantizationRange(rmin, rmax, quant_min, quant_max, &nudged_min, &nudged_max, &nudged_scale);
    -
    929 const int flat_size = MatchingFlatSize(input_shape, output_shape);
    +
    929 const int flat_size = MatchingFlatSize(input_shape, output_shape);
    930 FakeQuantizeArray(nudged_scale, nudged_min, nudged_max, input_data, output_data, flat_size);
    931}
    932
    @@ -1192,7 +1192,7 @@
    1093 {
    1094 for (int i4 = start[4]; i4 < stop[4]; ++i4)
    1095 {
    -
    1096 writer->Write(Offset(ext_shape, i0, i1, i2, i3, i4));
    +
    1096 writer->Write(Offset(ext_shape, i0, i1, i2, i3, i4));
    1097 }
    1098 }
    1099 }
    @@ -1220,7 +1220,7 @@
    1121void Minimum(const RuntimeShape &input1_shape, const T *input1_data, const T *input2_data,
    1122 const RuntimeShape &output_shape, T *output_data)
    1123{
    -
    1124 const int flat_size = MatchingFlatSize(input1_shape, output_shape);
    +
    1124 const int flat_size = MatchingFlatSize(input1_shape, output_shape);
    1125
    1126 auto min_value = input2_data[0];
    1127 for (int i = 0; i < flat_size; i++)
    @@ -1243,7 +1243,7 @@
    1144void Maximum(const RuntimeShape &input1_shape, const T *input1_data, const T *input2_data,
    1145 const RuntimeShape &output_shape, T *output_data)
    1146{
    -
    1147 const int flat_size = MatchingFlatSize(input1_shape, output_shape);
    +
    1147 const int flat_size = MatchingFlatSize(input1_shape, output_shape);
    1148
    1149 auto max_value = input2_data[0];
    1150 for (int i = 0; i < flat_size; i++)
    @@ -1296,7 +1296,7 @@
    1197 }
    1198 else
    1199 {
    -
    1200 flatsize = MatchingFlatSize(input_condition_shape, input_x_shape, input_y_shape, output_shape);
    +
    1200 flatsize = MatchingFlatSize(input_condition_shape, input_x_shape, input_y_shape, output_shape);
    1201 }
    1202 for (int64_t i = 0; i < flatsize; ++i)
    1203 {
    @@ -1314,7 +1314,7 @@
    1215 int64_t inner_size;
    1216 if (input_condition_shape.DimensionsCount() == 0)
    1217 {
    -
    1218 inner_size = MatchingFlatSize(input_x_shape, input_y_shape, output_shape);
    +
    1218 inner_size = MatchingFlatSize(input_x_shape, input_y_shape, output_shape);
    1219 }
    1220 else
    1221 {
    @@ -1372,7 +1372,7 @@
    1273 const int condition_index = SubscriptToIndex(desc_condition, b, y, x, c);
    1274 const int x_index = SubscriptToIndex(desc_x, b, y, x, c);
    1275 const int y_index = SubscriptToIndex(desc_y, b, y, x, c);
    -
    1276 output_data[Offset(extended_output_shape, b, y, x, c)] =
    +
    1276 output_data[Offset(extended_output_shape, b, y, x, c)] =
    1277 input_condition_data[condition_index] ? input_x_data[x_index] : input_y_data[y_index];
    1278 }
    1279 }
    @@ -1444,7 +1444,7 @@
    1345 const std::vector<TI> &index = indices[i];
    1346 TFLITE_DCHECK_EQ(index.size(), 4);
    1347 const T value = *values; // just use the first value.
    -
    1348 output_data[Offset(output_shape, index[0], index[1], index[2], index[3])] = value;
    +
    1348 output_data[Offset(output_shape, index[0], index[1], index[2], index[3])] = value;
    1349 }
    1350 return;
    1351 }
    @@ -1455,7 +1455,7 @@
    1356 const std::vector<TI> &index = indices[i];
    1357 TFLITE_DCHECK_EQ(index.size(), 4);
    1358 const T value = values[i];
    -
    1359 output_data[Offset(output_shape, index[0], index[1], index[2], index[3])] = value;
    +
    1359 output_data[Offset(output_shape, index[0], index[1], index[2], index[3])] = value;
    1360 }
    1361}
    1362
    @@ -1464,7 +1464,7 @@
    1365 const RuntimeShape &input2_shape, const T *input2_data,
    1366 const RuntimeShape &output_shape, T *output_data)
    1367{
    -
    1368 const int flat_size = MatchingFlatSize(input1_shape, input2_shape, output_shape);
    +
    1368 const int flat_size = MatchingFlatSize(input1_shape, input2_shape, output_shape);
    1369 for (int i = 0; i < flat_size; ++i)
    1370 {
    1371 output_data[i] = std::pow(input1_data[i], input2_data[i]);
    @@ -1494,7 +1494,7 @@
    1395 {
    1396 for (int c = 0; c < output_shape.Dims(3); ++c)
    1397 {
    -
    1398 auto out_idx = Offset(output_shape, b, y, x, c);
    +
    1398 auto out_idx = Offset(output_shape, b, y, x, c);
    1399 auto in1_idx = SubscriptToIndex(desc1, b, y, x, c);
    1400 auto in2_idx = SubscriptToIndex(desc2, b, y, x, c);
    1401 auto in1_val = input1_data[in1_idx];
    @@ -1661,10 +1661,10 @@
    NdArrayDesc< 4 > desc1
    const luci_interpreter::RuntimeShape output_shape
    NdArrayDesc< 4 > desc2
    -
    int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
    Definition Dims.h:64
    -
    int MatchingFlatSize(const Dims< N > &dims, const Dims< N > &check_dims_0)
    Definition Dims.h:108
    std::uint8_t uint8
    Definition Macro.h:52
    std::int16_t int16
    Definition Macro.h:53
    +
    int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
    Definition Dims.h:64
    +
    int MatchingFlatSize(const Dims< N > &dims, const Dims< N > &check_dims_0)
    Definition Dims.h:108
    __global uchar * offset(const Image *img, int x, int y)
    Definition helpers.h:540
    diff --git a/md_docs_2howto_2how-to-use-nnfw-python-api.html b/md_docs_2howto_2how-to-use-nnfw-python-api.html index d5e83f13d3a..b39639760ff 100644 --- a/md_docs_2howto_2how-to-use-nnfw-python-api.html +++ b/md_docs_2howto_2how-to-use-nnfw-python-api.html @@ -109,7 +109,7 @@

    Install nnfw python API

    session = nnfw_session(nnpackage_path, backends, operations)
    else:
    session = nnfw_session(nnpackage_path, backends)
    - +
    1. Prepare Input
    diff --git a/minimal_8cc.html b/minimal_8cc.html index 58ff71b7bb6..80c0c73c32c 100644 --- a/minimal_8cc.html +++ b/minimal_8cc.html @@ -191,7 +191,7 @@

    NNFW_STATUS nnfw_prepare(nnfw_session *session)
    Prepare session to be ready for inference.
    Definition nnfw_api.cc:96
    NNFW_STATUS nnfw_set_output(nnfw_session *session, uint32_t index, NNFW_TYPE type, void *buffer, size_t length)
    Set output buffer.
    Definition nnfw_api.cc:157
    NNFW_STATUS nnfw_set_op_backend(nnfw_session *session, const char *op, const char *backend)
    Set the operation's backend.
    Definition nnfw_api.cc:306
    - +
    tensor info describes the type and shape of tensors
    Definition nnfw.h:176
    NNFW_TYPE dtype
    Definition nnfw.h:178
    diff --git a/minimal_8cc_source.html b/minimal_8cc_source.html index ff99e488c5b..1b948435540 100644 --- a/minimal_8cc_source.html +++ b/minimal_8cc_source.html @@ -130,7 +130,7 @@
    30
    -
    31int main(const int argc, char **argv)
    +
    31int main(const int argc, char **argv)
    32{
    33 nnfw_session *session = nullptr;
    34 nnfw_create_session(&session);
    @@ -184,8 +184,8 @@
    NNFW_STATUS nnfw_prepare(nnfw_session *session)
    Prepare session to be ready for inference.
    Definition nnfw_api.cc:96
    NNFW_STATUS nnfw_set_output(nnfw_session *session, uint32_t index, NNFW_TYPE type, void *buffer, size_t length)
    Set output buffer.
    Definition nnfw_api.cc:157
    NNFW_STATUS nnfw_set_op_backend(nnfw_session *session, const char *op, const char *backend)
    Set the operation's backend.
    Definition nnfw_api.cc:306
    -
    int main()
    Definition main.cpp:58
    - +
    int main()
    Definition main.cpp:58
    +
    tensor info describes the type and shape of tensors
    Definition nnfw.h:176
    NNFW_TYPE dtype
    Definition nnfw.h:178
    int32_t dims[NNFW_MAX_RANK]
    Definition nnfw.h:185
    diff --git a/minimal_8py_source.html b/minimal_8py_source.html index b58f5494b67..e0ae9afe14f 100644 --- a/minimal_8py_source.html +++ b/minimal_8py_source.html @@ -102,7 +102,7 @@
    3
    4
    -
    5def main(nnpackage_path, backends="cpu", operations=""):
    +
    5def main(nnpackage_path, backends="cpu", operations=""):
    6 # Create session and load nnpackage
    7 # operations is optional to assign a specific backends to each operation.
    8 # The default value of backends is "cpu".
    @@ -124,10 +124,10 @@
    24if __name__ == "__main__":
    25 argv = sys.argv[1:]
    -
    26 main(*argv)
    +
    26 main(*argv)
    -
    int main()
    Definition main.cpp:58
    - +
    int main()
    Definition main.cpp:58
    +
    diff --git a/mio-circle04_2example_8cpp_source.html b/mio-circle04_2example_8cpp_source.html index 198d0530b5a..c36c1c01631 100644 --- a/mio-circle04_2example_8cpp_source.html +++ b/mio-circle04_2example_8cpp_source.html @@ -123,7 +123,7 @@
    24#include <vector>
    25
    -
    26int main(int argc, char **argv)
    +
    26int main(int argc, char **argv)
    27{
    28 std::ifstream ifs(argv[1], std::ios_base::binary);
    29 std::vector<char> buf(std::istreambuf_iterator<char>{ifs}, std::istreambuf_iterator<char>{});
    @@ -140,7 +140,7 @@
    40 return 0;
    41}
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/mio-circle05_2example_8cpp_source.html b/mio-circle05_2example_8cpp_source.html index b9724b94109..454c336cb8a 100644 --- a/mio-circle05_2example_8cpp_source.html +++ b/mio-circle05_2example_8cpp_source.html @@ -123,7 +123,7 @@
    24#include <vector>
    25
    -
    26int main(int argc, char **argv)
    +
    26int main(int argc, char **argv)
    27{
    28 std::ifstream ifs(argv[1], std::ios_base::binary);
    29 std::vector<char> buf(std::istreambuf_iterator<char>{ifs}, std::istreambuf_iterator<char>{});
    @@ -140,7 +140,7 @@
    40 return 0;
    41}
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/mio-circle06_2example_8cpp_source.html b/mio-circle06_2example_8cpp_source.html index ab7969b9ef5..0d83d827145 100644 --- a/mio-circle06_2example_8cpp_source.html +++ b/mio-circle06_2example_8cpp_source.html @@ -123,7 +123,7 @@
    24#include <vector>
    25
    -
    26int main(int argc, char **argv)
    +
    26int main(int argc, char **argv)
    27{
    28 std::ifstream ifs(argv[1], std::ios_base::binary);
    29 std::vector<char> buf(std::istreambuf_iterator<char>{ifs}, std::istreambuf_iterator<char>{});
    @@ -140,7 +140,7 @@
    40 return 0;
    41}
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/mio-circle07_2example_8cpp_source.html b/mio-circle07_2example_8cpp_source.html index 71b08e97d73..8153c5ecfe7 100644 --- a/mio-circle07_2example_8cpp_source.html +++ b/mio-circle07_2example_8cpp_source.html @@ -123,7 +123,7 @@
    24#include <vector>
    25
    -
    26int main(int argc, char **argv)
    +
    26int main(int argc, char **argv)
    27{
    28 std::ifstream ifs(argv[1], std::ios_base::binary);
    29 std::vector<char> buf(std::istreambuf_iterator<char>{ifs}, std::istreambuf_iterator<char>{});
    @@ -140,7 +140,7 @@
    40 return 0;
    41}
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/mio-circle_2example_8cpp_source.html b/mio-circle_2example_8cpp_source.html index 63dee980cc4..06cda4a9302 100644 --- a/mio-circle_2example_8cpp_source.html +++ b/mio-circle_2example_8cpp_source.html @@ -123,7 +123,7 @@
    24#include <vector>
    25
    -
    26int main(int argc, char **argv)
    +
    26int main(int argc, char **argv)
    27{
    28 std::ifstream ifs(argv[1], std::ios_base::binary);
    29 std::vector<char> buf(std::istreambuf_iterator<char>{ifs}, std::istreambuf_iterator<char>{});
    @@ -140,7 +140,7 @@
    40 return 0;
    41}
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/mio-tflite2121_2example_8cpp_source.html b/mio-tflite2121_2example_8cpp_source.html index 9a1d66fa26d..8bc9dc2807f 100644 --- a/mio-tflite2121_2example_8cpp_source.html +++ b/mio-tflite2121_2example_8cpp_source.html @@ -123,7 +123,7 @@
    24#include <vector>
    25
    -
    26int main(int argc, char **argv)
    +
    26int main(int argc, char **argv)
    27{
    28 std::ifstream ifs(argv[1], std::ios_base::binary);
    29 std::vector<char> buf(std::istreambuf_iterator<char>{ifs}, std::istreambuf_iterator<char>{});
    @@ -140,7 +140,7 @@
    40 return 0;
    41}
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/mio-tflite260_2example_8cpp_source.html b/mio-tflite260_2example_8cpp_source.html index 233afb90ced..a8bc361a5b9 100644 --- a/mio-tflite260_2example_8cpp_source.html +++ b/mio-tflite260_2example_8cpp_source.html @@ -123,7 +123,7 @@
    24#include <vector>
    25
    -
    26int main(int argc, char **argv)
    +
    26int main(int argc, char **argv)
    27{
    28 std::ifstream ifs(argv[1], std::ios_base::binary);
    29 std::vector<char> buf(std::istreambuf_iterator<char>{ifs}, std::istreambuf_iterator<char>{});
    @@ -140,7 +140,7 @@
    40 return 0;
    41}
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/mio-tflite280_2example_8cpp_source.html b/mio-tflite280_2example_8cpp_source.html index cf368a0667d..c6d9b4ed618 100644 --- a/mio-tflite280_2example_8cpp_source.html +++ b/mio-tflite280_2example_8cpp_source.html @@ -123,7 +123,7 @@
    24#include <vector>
    25
    -
    26int main(int argc, char **argv)
    +
    26int main(int argc, char **argv)
    27{
    28 std::ifstream ifs(argv[1], std::ios_base::binary);
    29 std::vector<char> buf(std::istreambuf_iterator<char>{ifs}, std::istreambuf_iterator<char>{});
    @@ -140,7 +140,7 @@
    40 return 0;
    41}
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/mio-tflite_2example_8cpp_source.html b/mio-tflite_2example_8cpp_source.html index 388d6c89d8e..7d3733ed5e0 100644 --- a/mio-tflite_2example_8cpp_source.html +++ b/mio-tflite_2example_8cpp_source.html @@ -123,7 +123,7 @@
    24#include <vector>
    25
    -
    26int main(int argc, char **argv)
    +
    26int main(int argc, char **argv)
    27{
    28 std::ifstream ifs(argv[1], std::ios_base::binary);
    29 std::vector<char> buf(std::istreambuf_iterator<char>{ifs}, std::istreambuf_iterator<char>{});
    @@ -140,7 +140,7 @@
    40 return 0;
    41}
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/morph_2include_2morph_2_dims_8h.js b/morph_2include_2morph_2_dims_8h.js deleted file mode 100644 index fda9f003b8b..00000000000 --- a/morph_2include_2morph_2_dims_8h.js +++ /dev/null @@ -1,5 +0,0 @@ -var morph_2include_2morph_2_dims_8h = -[ - [ "Dims", "morph_2include_2morph_2_dims_8h.html#a7e45f169b086c0fffd2fddb857256ee3", null ], - [ "as_dims", "morph_2include_2morph_2_dims_8h.html#aa99b14b3992c5801d3e46acfc4f19909", null ] -]; \ No newline at end of file diff --git a/morph_2include_2morph_2_dims_8h.html b/morph_2include_2morph_2dims_8h.html similarity index 97% rename from morph_2include_2morph_2_dims_8h.html rename to morph_2include_2morph_2dims_8h.html index a9810c336b7..de37ccffebe 100644 --- a/morph_2include_2morph_2_dims_8h.html +++ b/morph_2include_2morph_2dims_8h.html @@ -63,7 +63,7 @@

    Namespaces

    @@ -122,7 +122,7 @@ diff --git a/morph_2include_2morph_2dims_8h.js b/morph_2include_2morph_2dims_8h.js new file mode 100644 index 00000000000..ce4f8587e3b --- /dev/null +++ b/morph_2include_2morph_2dims_8h.js @@ -0,0 +1,5 @@ +var morph_2include_2morph_2dims_8h = +[ + [ "Dims", "morph_2include_2morph_2dims_8h.html#a7e45f169b086c0fffd2fddb857256ee3", null ], + [ "as_dims", "morph_2include_2morph_2dims_8h.html#aa99b14b3992c5801d3e46acfc4f19909", null ] +]; \ No newline at end of file diff --git a/morph_2include_2morph_2_dims_8h_source.html b/morph_2include_2morph_2dims_8h_source.html similarity index 95% rename from morph_2include_2morph_2_dims_8h_source.html rename to morph_2include_2morph_2dims_8h_source.html index 59f625c2f09..078a49eb964 100644 --- a/morph_2include_2morph_2_dims_8h_source.html +++ b/morph_2include_2morph_2dims_8h_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    dims.h
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -133,14 +133,14 @@
    Definition caffe.h:25
    -
    Dims< uint32_t > as_dims(const nncc::core::ADT::tensor::Shape &)
    Definition dims.cpp:24
    -
    Definition Dims.h:26
    +
    Dims< uint32_t > as_dims(const nncc::core::ADT::tensor::Shape &)
    Definition dims.cpp:24
    +
    Definition Dims.h:26
    diff --git a/morph_2src_2_dims_8cpp.js b/morph_2src_2_dims_8cpp.js deleted file mode 100644 index e95ffdaf15b..00000000000 --- a/morph_2src_2_dims_8cpp.js +++ /dev/null @@ -1,4 +0,0 @@ -var morph_2src_2_dims_8cpp = -[ - [ "as_dims", "morph_2src_2_dims_8cpp.html#aa99b14b3992c5801d3e46acfc4f19909", null ] -]; \ No newline at end of file diff --git a/morph_2src_2_dims_8cpp.html b/morph_2src_2dims_8cpp.html similarity index 94% rename from morph_2src_2_dims_8cpp.html rename to morph_2src_2dims_8cpp.html index e4c4a4be5c7..ffef63106e0 100644 --- a/morph_2src_2_dims_8cpp.html +++ b/morph_2src_2dims_8cpp.html @@ -63,7 +63,7 @@
    @@ -95,9 +95,9 @@
    dims.cpp File Reference

    Namespaces

    @@ -114,7 +114,7 @@ diff --git a/morph_2src_2dims_8cpp.js b/morph_2src_2dims_8cpp.js new file mode 100644 index 00000000000..f26f5a5ab3c --- /dev/null +++ b/morph_2src_2dims_8cpp.js @@ -0,0 +1,4 @@ +var morph_2src_2dims_8cpp = +[ + [ "as_dims", "morph_2src_2dims_8cpp.html#aa99b14b3992c5801d3e46acfc4f19909", null ] +]; \ No newline at end of file diff --git a/morph_2src_2_dims_8cpp_source.html b/morph_2src_2dims_8cpp_source.html similarity index 93% rename from morph_2src_2_dims_8cpp_source.html rename to morph_2src_2dims_8cpp_source.html index 5ad1026c465..c043f48420d 100644 --- a/morph_2src_2_dims_8cpp_source.html +++ b/morph_2src_2dims_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    dims.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -113,7 +113,7 @@
    14 * limitations under the License.
    15 */
    16
    -
    17#include "morph/dims.h"
    +
    17#include "morph/dims.h"
    18
    19using namespace nncc::core::ADT;
    20
    @@ -138,17 +138,17 @@
    uint32_t & dim(uint32_t axis)
    Definition Shape.cpp:42
    uint32_t rank(void) const
    Definition Shape.cpp:35
    - +
    Definition caffe.h:25
    -
    Dims< uint32_t > as_dims(const nncc::core::ADT::tensor::Shape &)
    Definition dims.cpp:24
    +
    Dims< uint32_t > as_dims(const nncc::core::ADT::tensor::Shape &)
    Definition dims.cpp:24
    -
    Definition Dims.h:26
    +
    Definition Dims.h:26
    diff --git a/namespacearser.html b/namespacearser.html index 5f122178fba..2615348e21d 100644 --- a/namespacearser.html +++ b/namespacearser.html @@ -183,7 +183,7 @@

    143 FLOAT,
    144 FLOAT_VEC,
    145 BOOL,
    -
    146 STR,
    +
    146 STR,
    147 STR_VEC,
    148};
    @@ -191,7 +191,7 @@

    @ FLOAT_VEC
    -
    #define STR(value)
    Definition Assert.h:31
    +
    #define STR(value)
    Definition Assert.h:31
    diff --git a/namespacecirclechef.html b/namespacecirclechef.html index 38fc3ca59d7..a6198fac10f 100644 --- a/namespacecirclechef.html +++ b/namespacecirclechef.html @@ -556,7 +556,7 @@

    -

    Referenced by entry(), and entry_stream().

    +

    Referenced by entry(), and entry_stream().

    @@ -792,7 +792,7 @@

    References as_circlechef_type(), as_index_vector(), circlechef::CircleImport::buffers(), circlechef::CircleImport::builtin_code(), circlechef::CircleOpRegistry::get(), flatbuffers::Vector< T >::Get(), souschef::TensorFiller::get_tensor_filler(), circlechef::CircleImport::inputs(), circlechef::CircleOpRegistry::lookup(), circlechef::CircleImport::num_subgraph(), circlechef::CircleImport::opcode_name(), circlechef::CircleImport::operators(), circlechef::CircleImport::outputs(), circlechef::CircleImport::select_sub_graph(), set_inputs(), set_outputs(), mio::circle::tensor_name(), and circlechef::CircleImport::tensors().

    -

    Referenced by entry().

    +

    Referenced by entry().

    @@ -951,7 +951,7 @@

    258 return true;
    259}
    -

    Referenced by entry().

    +

    Referenced by entry().

    diff --git a/namespaceenco.html b/namespaceenco.html index a4308827755..a072a83aabd 100644 --- a/namespaceenco.html +++ b/namespaceenco.html @@ -1025,7 +1025,7 @@

    volatile const char info[]
    -
    Dims< uint32_t > as_dims(const nncc::core::ADT::tensor::Shape &)
    Definition dims.cpp:24
    +
    Dims< uint32_t > as_dims(const nncc::core::ADT::tensor::Shape &)
    Definition dims.cpp:24
    coco::Data * data(void) const
    Definition Code.h:38
    static const ANNContext * context(const coco::Module *m)
    Definition Split.cpp:43
    diff --git a/namespaceexport__constant.html b/namespaceexport__constant.html index 37c504a6efe..8fd5502efe8 100644 --- a/namespaceexport__constant.html +++ b/namespaceexport__constant.html @@ -117,7 +117,7 @@

    Definition at line 23 of file export_constant.py.

    -
    23def main():
    +
    23def main():
    24 parser = argparse.ArgumentParser(
    25 description='Export CONSTANT value with given file format.')
    26 parser.add_argument(
    @@ -169,7 +169,7 @@

    72 f.write(f"{constant}\n")

    73
    74
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58

    References main().

    diff --git a/namespacegenerate__bcq__metadata.html b/namespacegenerate__bcq__metadata.html index bde1adf1a46..338eb8310c0 100644 --- a/namespacegenerate__bcq__metadata.html +++ b/namespacegenerate__bcq__metadata.html @@ -496,7 +496,7 @@

    Definition at line 213 of file generate_bcq_metadata.py.

    -
    213def main():
    +
    213def main():
    214 # Parse argument.
    215 parser = _get_parser()
    216 flags = parser.parse_known_args(args=sys.argv[1:])
    @@ -505,7 +505,7 @@

    219 generate_bcq_metadata(flags[0])

    220
    221
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58

    References _get_parser(), and main().

    diff --git a/namespaceloco.html b/namespaceloco.html index 0fafa7b6f92..1ff948cbba2 100644 --- a/namespaceloco.html +++ b/namespaceloco.html @@ -1431,7 +1431,7 @@

    References postorder_traversal().

    -

    Referenced by moco::test::find_nodes_bytype(), luci::DeadNodeQueryServiceImpl::isDeadNode(), luci::layer_info_map(), luci::CircleQuantizer::quantize(), mpqsolver::pattern::Q8LayerNormWithQ16VarianceResolver::resolve(), mpqsolver::pattern::Q8SoftmaxWithQ16SubExpResolver::resolve(), mpqsolver::bisection::BisectionSolver::run(), logo::RemoveDeadNodePass::run(), logo::RemoveDeadNodeWithQueryPass::run(), exo::FoldReshapeOfConstPass::run(), exo::FoldTransposeOfConstPass::run(), exo::FuseBiasAddPass::run(), exo::FuseInstanceNormPass::run(), exo::FuseReluPass::run(), exo::FuseRsqrtPass::run(), exo::FuseSquaredDifferencePass::run(), logo::SimplifyDomainConversionPass::run(), luci::ConvertNCHWToNHWCPass::run(), luci::ConvertToFakeQuantizedModelPass::run(), luci::DecomposeHardSwishPass::run(), luci::DecomposeSoftmaxPass::run(), luci::ExpandBroadcastConstPass::run(), luci::FoldAddV2Pass::run(), luci::FoldCastPass::run(), luci::FoldDensifyPass::run(), luci::FoldDepthwiseConv2DPass::run(), luci::FoldDequantizePass::run(), luci::FoldFullyConnectedPass::run(), luci::FoldGatherPass::run(), luci::FoldShapePass::run(), luci::FoldSparseToDensePass::run(), luci::ForwardReshapeToUnaryOpPass::run(), luci::ForwardTransposeOpPass::run(), luci::FuseActivationFunctionPass::run(), luci::FuseAddWithFullyConnectedPass::run(), luci::FuseAddWithTConvPass::run(), luci::FuseBatchNormWithConvPass::run(), luci::FuseBatchNormWithDwConvPass::run(), luci::FuseBatchNormWithTConvPass::run(), luci::FuseGeluPass::run(), luci::FuseHorizontalFullyConnectedPass::run(), luci::FuseInstanceNormPass::run(), luci::FuseMeanWithMeanPass::run(), luci::FuseMulWithConvPass::run(), luci::FuseMulWithDivPass::run(), luci::FusePreActivationBatchNormPass::run(), luci::FusePReluPass::run(), luci::FuseSliceWithTConvPass::run(), luci::FuseTransposeWithMeanPass::run(), luci::MakeBatchNormGammaPositivePass::run(), luci::PropagateQParamForwardPass::run(), luci::RemoveDuplicateConstPass::run(), luci::RemoveFakeQuantPass::run(), luci::RemoveQuantDequantSeqPass::run(), luci::RemoveRedundantDequantizePass::run(), luci::RemoveRedundantReshapePass::run(), luci::RemoveRedundantTransposePass::run(), luci::RemoveUnnecessaryAddPass::run(), luci::RemoveUnnecessaryReshapeNetPass::run(), luci::RemoveUnnecessaryReshapePass::run(), luci::RemoveUnnecessarySlicePass::run(), luci::RemoveUnnecessarySplitPass::run(), luci::RemoveUnnecessaryStridedSlicePass::run(), luci::RemoveUnnecessaryTransposeNetPass::run(), luci::ReplaceMulAddWithDepthwiseConvPass::run(), luci::ReplaceNonConstFCWithBatchMatMulPass::run(), luci::ReplaceSubWithAddPass::run(), luci::ReplaceWithFCGeluFCPass::run(), luci::ResolveCustomOpAddPass::run(), luci::ResolveCustomOpBatchMatMulPass::run(), luci::ResolveCustomOpMatMulPass::run(), luci::ResolveCustomOpMaxPoolWithArgmaxPass::run(), luci::ResolveCustomOpSplitVPass::run(), luci::ResolveFormerCustomOpPass::run(), luci::ShuffleWeightTo16x1Float32Pass::run(), luci::SparsifyTensorPass::run(), luci::SubstitutePackToReshapePass::run(), luci::SubstitutePadV2ToPadPass::run(), luci::SubstituteSplitVToSplitPass::run(), luci::SubstituteSqueezeToReshapePass::run(), luci::SubstituteStridedSliceToReshapePass::run(), luci::SubstituteTransposeToReshapePass::run(), luci::TransformMinMaxToRelu6Pass::run(), luci::TransformMinReluToRelu6Pass::run(), luci::UnrollUnidirectionalSequenceLSTMPass::run(), luci::XpSepActFromTransposeConvPass::run(), exo::CanonicalNodeConverter< CanonicalType >::run(), exo::TensorBroadcastConverter::run(), exo::MergeConcatNodesPass::run(), luci::CommonSubExpressionEliminationPass::run(), luci::CopyQuantParamPass::run(), luci::ForceQuantParamPass::run(), luci::QuantizeDequantizeWeightsPass::run(), luci::QuantizeWeightsPass::run(), luci::QuantizeWithMinMaxPass::run(), luci::RequantizePass::run(), luci::QuantizePreCheckerPass::run(), moco::tf::SimpleNodeTransform< ConcreteNode >::run(), moco::ConstantFoldAdd::run(), moco::ConstantFoldMul::run(), moco::ConstantFoldPack::run(), moco::ConstantFoldStridedSlice::run(), moco::FuseBinaryIntoPreceding::run(), moco::ResolveConstantShape::run(), moco::ResolveFusedBatchNorm::run(), moco::ResolveReshapeWildcardDim::run(), moco::ResolveSquaredDifference::run(), moco::SqueezeReduceNode::run(), luci::QuantizedModelVerifier::verify(), and q_implant::QImplant::write().

    +

    Referenced by moco::test::find_nodes_bytype(), luci::DeadNodeQueryServiceImpl::isDeadNode(), luci::layer_info_map(), luci::CircleQuantizer::quantize(), mpqsolver::pattern::Q8LayerNormWithQ16VarianceResolver::resolve(), mpqsolver::pattern::Q8SoftmaxWithQ16SubExpResolver::resolve(), mpqsolver::bisection::BisectionSolver::run(), logo::RemoveDeadNodePass::run(), logo::RemoveDeadNodeWithQueryPass::run(), exo::FoldReshapeOfConstPass::run(), exo::FoldTransposeOfConstPass::run(), exo::FuseBiasAddPass::run(), exo::FuseInstanceNormPass::run(), exo::FuseReluPass::run(), exo::FuseRsqrtPass::run(), exo::FuseSquaredDifferencePass::run(), logo::SimplifyDomainConversionPass::run(), luci::ConvertNCHWToNHWCPass::run(), luci::ConvertToFakeQuantizedModelPass::run(), luci::DecomposeHardSwishPass::run(), luci::DecomposeSoftmaxPass::run(), luci::ExpandBroadcastConstPass::run(), luci::FoldAddV2Pass::run(), luci::FoldCastPass::run(), luci::FoldDensifyPass::run(), luci::FoldDepthwiseConv2DPass::run(), luci::FoldDequantizePass::run(), luci::FoldFullyConnectedPass::run(), luci::FoldGatherPass::run(), luci::FoldShapePass::run(), luci::FoldSparseToDensePass::run(), luci::ForwardReshapeToUnaryOpPass::run(), luci::ForwardTransposeOpPass::run(), luci::FuseActivationFunctionPass::run(), luci::FuseAddWithFullyConnectedPass::run(), luci::FuseAddWithTConvPass::run(), luci::FuseBatchNormWithConvPass::run(), luci::FuseBatchNormWithDwConvPass::run(), luci::FuseBatchNormWithTConvPass::run(), luci::FuseGeluPass::run(), luci::FuseHorizontalFullyConnectedPass::run(), luci::FuseInstanceNormPass::run(), luci::FuseMeanWithMeanPass::run(), luci::FuseMulWithConvPass::run(), luci::FuseMulWithDivPass::run(), luci::FusePreActivationBatchNormPass::run(), luci::FusePReluPass::run(), luci::FuseSliceWithTConvPass::run(), luci::FuseTransposeWithMeanPass::run(), luci::MakeBatchNormGammaPositivePass::run(), luci::PropagateQParamForwardPass::run(), luci::RemoveDuplicateConstPass::run(), luci::RemoveFakeQuantPass::run(), luci::RemoveQuantDequantSeqPass::run(), luci::RemoveRedundantDequantizePass::run(), luci::RemoveRedundantReshapePass::run(), luci::RemoveRedundantTransposePass::run(), luci::RemoveUnnecessaryAddPass::run(), luci::RemoveUnnecessaryReshapeNetPass::run(), luci::RemoveUnnecessaryReshapePass::run(), luci::RemoveUnnecessarySlicePass::run(), luci::RemoveUnnecessarySplitPass::run(), luci::RemoveUnnecessaryStridedSlicePass::run(), luci::RemoveUnnecessaryTransposeNetPass::run(), luci::ReplaceMulAddWithDepthwiseConvPass::run(), luci::ReplaceNonConstFCWithBatchMatMulPass::run(), luci::ReplaceSubWithAddPass::run(), luci::ReplaceWithFCGeluFCPass::run(), luci::ResolveCustomOpAddPass::run(), luci::ResolveCustomOpBatchMatMulPass::run(), luci::ResolveCustomOpMatMulPass::run(), luci::ResolveCustomOpMaxPoolWithArgmaxPass::run(), luci::ResolveCustomOpSplitVPass::run(), luci::ResolveFormerCustomOpPass::run(), luci::ShuffleWeightTo16x1Float32Pass::run(), luci::SparsifyTensorPass::run(), luci::SubstitutePackToReshapePass::run(), luci::SubstitutePadV2ToPadPass::run(), luci::SubstituteSplitVToSplitPass::run(), luci::SubstituteSqueezeToReshapePass::run(), luci::SubstituteStridedSliceToReshapePass::run(), luci::SubstituteTransposeToReshapePass::run(), luci::TransformMinMaxToRelu6Pass::run(), luci::TransformMinReluToRelu6Pass::run(), luci::UnrollUnidirectionalSequenceLSTMPass::run(), luci::XpSepActFromTransposeConvPass::run(), exo::CanonicalNodeConverter< CanonicalType >::run(), exo::TensorBroadcastConverter::run(), exo::MergeConcatNodesPass::run(), luci::CommonSubExpressionEliminationPass::run(), luci::CopyQuantParamPass::run(), luci::ForceQuantParamPass::run(), luci::QuantizeDequantizeWeightsPass::run(), luci::QuantizeWeightsPass::run(), luci::QuantizeWithMinMaxPass::run(), luci::RequantizePass::run(), luci::QuantizePreCheckerPass::run(), moco::tf::SimpleNodeTransform< ConcreteNode >::run(), moco::ConstantFoldAdd::run(), moco::ConstantFoldMul::run(), moco::ConstantFoldPack::run(), moco::ConstantFoldStridedSlice::run(), moco::FuseBinaryIntoPreceding::run(), moco::ResolveConstantShape::run(), moco::ResolveFusedBatchNorm::run(), moco::ResolveReshapeWildcardDim::run(), moco::ResolveSquaredDifference::run(), moco::SqueezeReduceNode::run(), luci::QuantizedModelVerifier::verify(), and q_implant::QImplant::write().

    @@ -2603,7 +2603,7 @@

    References size.

    -

    Referenced by dalgona::PythonHooks::endNetworkExecution(), entry(), luci::exportNodes(), exo::circle_detail::exportOpDefinedTensors(), exo::tflite_detail::exportOpDefinedTensors(), luci::exportOpDefinedTensors(), logo::test::find_first_node_by_type(), moco::test::find_nodes_bytype(), luci::Importer::importModule(), luci::inference_candidates(), circle_eval_diff::MAEPrinter::init(), circle_eval_diff::MSEPrinter::init(), circle_eval_diff::MAPEPrinter::init(), circle_eval_diff::MPEIRPrinter::init(), circle_eval_diff::TopKMatchPrinter::init(), luci_interpreter::GraphLoader::initInputOutputTensors(), luci::DeadNodeQueryServiceImpl::isDeadNode(), luci::layer_info_map(), luci_interpreter::GraphLoader::loadOperators(), luci::CircleQuantizer::quantize(), mpqsolver::pattern::Q8LayerNormWithQ16VarianceResolver::resolve(), mpqsolver::pattern::Q8SoftmaxWithQ16SubExpResolver::resolve(), mpqsolver::bisection::BisectionSolver::run(), logo::RemoveDeadNodePass::run(), logo::RemoveDeadNodeWithQueryPass::run(), exo::FoldReshapeOfConstPass::run(), exo::FoldTransposeOfConstPass::run(), exo::FuseBiasAddPass::run(), exo::FuseInstanceNormPass::run(), exo::FuseReluPass::run(), exo::FuseRsqrtPass::run(), exo::FuseSquaredDifferencePass::run(), logo::SimplifyDomainConversionPass::run(), luci::ConvertNCHWToNHWCPass::run(), luci::ConvertToFakeQuantizedModelPass::run(), luci::DecomposeHardSwishPass::run(), luci::DecomposeSoftmaxPass::run(), luci::ExpandBroadcastConstPass::run(), luci::FoldAddV2Pass::run(), luci::FoldCastPass::run(), luci::FoldDensifyPass::run(), luci::FoldDepthwiseConv2DPass::run(), luci::FoldDequantizePass::run(), luci::FoldFullyConnectedPass::run(), luci::FoldGatherPass::run(), luci::FoldShapePass::run(), luci::FoldSparseToDensePass::run(), luci::ForwardReshapeToUnaryOpPass::run(), luci::ForwardTransposeOpPass::run(), luci::FuseActivationFunctionPass::run(), luci::FuseAddWithFullyConnectedPass::run(), luci::FuseAddWithTConvPass::run(), luci::FuseBatchNormWithConvPass::run(), luci::FuseBatchNormWithDwConvPass::run(), luci::FuseBatchNormWithTConvPass::run(), luci::FuseGeluPass::run(), luci::FuseHorizontalFullyConnectedPass::run(), luci::FuseInstanceNormPass::run(), luci::FuseMeanWithMeanPass::run(), luci::FuseMulWithConvPass::run(), luci::FuseMulWithDivPass::run(), luci::FusePreActivationBatchNormPass::run(), luci::FusePReluPass::run(), luci::FuseSliceWithTConvPass::run(), luci::FuseTransposeWithMeanPass::run(), luci::MakeBatchNormGammaPositivePass::run(), luci::PropagateQParamBackwardPass::run(), luci::PropagateQParamForwardPass::run(), luci::RemoveDuplicateConstPass::run(), luci::RemoveFakeQuantPass::run(), luci::RemoveQuantDequantSeqPass::run(), luci::RemoveRedundantDequantizePass::run(), luci::RemoveRedundantQuantizePass::run(), luci::RemoveRedundantReshapePass::run(), luci::RemoveRedundantTransposePass::run(), luci::RemoveUnnecessaryAddPass::run(), luci::RemoveUnnecessaryReshapeNetPass::run(), luci::RemoveUnnecessaryReshapePass::run(), luci::RemoveUnnecessarySlicePass::run(), luci::RemoveUnnecessarySplitPass::run(), luci::RemoveUnnecessaryStridedSlicePass::run(), luci::RemoveUnnecessaryTransposeNetPass::run(), luci::ReplaceMulAddWithDepthwiseConvPass::run(), luci::ReplaceNonConstFCWithBatchMatMulPass::run(), luci::ReplaceSubWithAddPass::run(), luci::ReplaceWithFCGeluFCPass::run(), luci::ResolveCustomOpAddPass::run(), luci::ResolveCustomOpBatchMatMulPass::run(), luci::ResolveCustomOpMatMulPass::run(), luci::ResolveCustomOpMaxPoolWithArgmaxPass::run(), luci::ResolveCustomOpSplitVPass::run(), luci::ResolveFormerCustomOpPass::run(), luci::ShuffleWeightTo16x1Float32Pass::run(), luci::SparsifyTensorPass::run(), luci::SubstitutePackToReshapePass::run(), luci::SubstitutePadV2ToPadPass::run(), luci::SubstituteSplitVToSplitPass::run(), luci::SubstituteSqueezeToReshapePass::run(), luci::SubstituteStridedSliceToReshapePass::run(), luci::SubstituteTransposeToReshapePass::run(), luci::TransformMinMaxToRelu6Pass::run(), luci::TransformMinReluToRelu6Pass::run(), luci::UnrollUnidirectionalSequenceLSTMPass::run(), luci::XpSepActFromTransposeConvPass::run(), exo::CanonicalNodeConverter< CanonicalType >::run(), exo::TensorBroadcastConverter::run(), exo::MergeConcatNodesPass::run(), luci::CommonSubExpressionEliminationPass::run(), luci::CopyQuantParamPass::run(), luci::ForceQuantParamPass::run(), luci::QuantizeDequantizeWeightsPass::run(), luci::QuantizeWeightsPass::run(), luci::QuantizeWithMinMaxPass::run(), luci::RequantizePass::run(), luci::QuantizePreCheckerPass::run(), moco::tf::SimpleNodeTransform< ConcreteNode >::run(), logo::ConstantFoldingPass::run(), logo::ResolveDuplicateReshapePass::run(), logo::ResolveRedundantReshapePass::run(), moco::ConstantFoldAdd::run(), moco::ConstantFoldMul::run(), moco::ConstantFoldPack::run(), moco::ConstantFoldStridedSlice::run(), moco::FuseBinaryIntoPreceding::run(), moco::ResolveConstantShape::run(), moco::ResolveFusedBatchNorm::run(), moco::ResolveReshapeWildcardDim::run(), moco::ResolveSquaredDifference::run(), moco::SqueezeReduceNode::run(), luci::FuseBCQPass::run(), prunner::PModelsRunner::run(), prunner::PModelsRunner::save_outputs(), loco::ShapeInferenceSession::to(), loco::TypeInferenceSession::to(), luci::QuantizedModelVerifier::verify(), and q_implant::QImplant::write().

    +

    Referenced by dalgona::PythonHooks::endNetworkExecution(), entry(), luci::exportNodes(), exo::circle_detail::exportOpDefinedTensors(), exo::tflite_detail::exportOpDefinedTensors(), luci::exportOpDefinedTensors(), logo::test::find_first_node_by_type(), moco::test::find_nodes_bytype(), luci::Importer::importModule(), luci::inference_candidates(), circle_eval_diff::MAEPrinter::init(), circle_eval_diff::MSEPrinter::init(), circle_eval_diff::MAPEPrinter::init(), circle_eval_diff::MPEIRPrinter::init(), circle_eval_diff::TopKMatchPrinter::init(), luci_interpreter::GraphLoader::initInputOutputTensors(), luci::DeadNodeQueryServiceImpl::isDeadNode(), luci::layer_info_map(), luci_interpreter::GraphLoader::loadOperators(), luci::CircleQuantizer::quantize(), mpqsolver::pattern::Q8LayerNormWithQ16VarianceResolver::resolve(), mpqsolver::pattern::Q8SoftmaxWithQ16SubExpResolver::resolve(), mpqsolver::bisection::BisectionSolver::run(), logo::RemoveDeadNodePass::run(), logo::RemoveDeadNodeWithQueryPass::run(), exo::FoldReshapeOfConstPass::run(), exo::FoldTransposeOfConstPass::run(), exo::FuseBiasAddPass::run(), exo::FuseInstanceNormPass::run(), exo::FuseReluPass::run(), exo::FuseRsqrtPass::run(), exo::FuseSquaredDifferencePass::run(), logo::SimplifyDomainConversionPass::run(), luci::ConvertNCHWToNHWCPass::run(), luci::ConvertToFakeQuantizedModelPass::run(), luci::DecomposeHardSwishPass::run(), luci::DecomposeSoftmaxPass::run(), luci::ExpandBroadcastConstPass::run(), luci::FoldAddV2Pass::run(), luci::FoldCastPass::run(), luci::FoldDensifyPass::run(), luci::FoldDepthwiseConv2DPass::run(), luci::FoldDequantizePass::run(), luci::FoldFullyConnectedPass::run(), luci::FoldGatherPass::run(), luci::FoldShapePass::run(), luci::FoldSparseToDensePass::run(), luci::ForwardReshapeToUnaryOpPass::run(), luci::ForwardTransposeOpPass::run(), luci::FuseActivationFunctionPass::run(), luci::FuseAddWithFullyConnectedPass::run(), luci::FuseAddWithTConvPass::run(), luci::FuseBatchNormWithConvPass::run(), luci::FuseBatchNormWithDwConvPass::run(), luci::FuseBatchNormWithTConvPass::run(), luci::FuseGeluPass::run(), luci::FuseHorizontalFullyConnectedPass::run(), luci::FuseInstanceNormPass::run(), luci::FuseMeanWithMeanPass::run(), luci::FuseMulWithConvPass::run(), luci::FuseMulWithDivPass::run(), luci::FusePreActivationBatchNormPass::run(), luci::FusePReluPass::run(), luci::FuseSliceWithTConvPass::run(), luci::FuseTransposeWithMeanPass::run(), luci::MakeBatchNormGammaPositivePass::run(), luci::PropagateQParamBackwardPass::run(), luci::PropagateQParamForwardPass::run(), luci::RemoveDuplicateConstPass::run(), luci::RemoveFakeQuantPass::run(), luci::RemoveQuantDequantSeqPass::run(), luci::RemoveRedundantDequantizePass::run(), luci::RemoveRedundantQuantizePass::run(), luci::RemoveRedundantReshapePass::run(), luci::RemoveRedundantTransposePass::run(), luci::RemoveUnnecessaryAddPass::run(), luci::RemoveUnnecessaryReshapeNetPass::run(), luci::RemoveUnnecessaryReshapePass::run(), luci::RemoveUnnecessarySlicePass::run(), luci::RemoveUnnecessarySplitPass::run(), luci::RemoveUnnecessaryStridedSlicePass::run(), luci::RemoveUnnecessaryTransposeNetPass::run(), luci::ReplaceMulAddWithDepthwiseConvPass::run(), luci::ReplaceNonConstFCWithBatchMatMulPass::run(), luci::ReplaceSubWithAddPass::run(), luci::ReplaceWithFCGeluFCPass::run(), luci::ResolveCustomOpAddPass::run(), luci::ResolveCustomOpBatchMatMulPass::run(), luci::ResolveCustomOpMatMulPass::run(), luci::ResolveCustomOpMaxPoolWithArgmaxPass::run(), luci::ResolveCustomOpSplitVPass::run(), luci::ResolveFormerCustomOpPass::run(), luci::ShuffleWeightTo16x1Float32Pass::run(), luci::SparsifyTensorPass::run(), luci::SubstitutePackToReshapePass::run(), luci::SubstitutePadV2ToPadPass::run(), luci::SubstituteSplitVToSplitPass::run(), luci::SubstituteSqueezeToReshapePass::run(), luci::SubstituteStridedSliceToReshapePass::run(), luci::SubstituteTransposeToReshapePass::run(), luci::TransformMinMaxToRelu6Pass::run(), luci::TransformMinReluToRelu6Pass::run(), luci::UnrollUnidirectionalSequenceLSTMPass::run(), luci::XpSepActFromTransposeConvPass::run(), exo::CanonicalNodeConverter< CanonicalType >::run(), exo::TensorBroadcastConverter::run(), exo::MergeConcatNodesPass::run(), luci::CommonSubExpressionEliminationPass::run(), luci::CopyQuantParamPass::run(), luci::ForceQuantParamPass::run(), luci::QuantizeDequantizeWeightsPass::run(), luci::QuantizeWeightsPass::run(), luci::QuantizeWithMinMaxPass::run(), luci::RequantizePass::run(), luci::QuantizePreCheckerPass::run(), moco::tf::SimpleNodeTransform< ConcreteNode >::run(), logo::ConstantFoldingPass::run(), logo::ResolveDuplicateReshapePass::run(), logo::ResolveRedundantReshapePass::run(), moco::ConstantFoldAdd::run(), moco::ConstantFoldMul::run(), moco::ConstantFoldPack::run(), moco::ConstantFoldStridedSlice::run(), moco::FuseBinaryIntoPreceding::run(), moco::ResolveConstantShape::run(), moco::ResolveFusedBatchNorm::run(), moco::ResolveReshapeWildcardDim::run(), moco::ResolveSquaredDifference::run(), moco::SqueezeReduceNode::run(), luci::FuseBCQPass::run(), prunner::PModelsRunner::run(), prunner::PModelsRunner::save_outputs(), loco::ShapeInferenceSession::to(), loco::TypeInferenceSession::to(), luci::QuantizedModelVerifier::verify(), and q_implant::QImplant::write().

    diff --git a/namespacelocoex.html b/namespacelocoex.html index b82f7c1bcc6..597eae77bdc 100644 --- a/namespacelocoex.html +++ b/namespacelocoex.html @@ -350,7 +350,7 @@

    Enumerator

    Namespaces

    CIRCLE_NODE 
    -

    Definition at line 23 of file CircleOpcode.h.

    +

    Definition at line 23 of file CircleOpcode.h.

    24{
    25#define CIRCLE_NODE(OPCODE, CLASS) OPCODE,
    26#include "CircleNodes.lst"
    diff --git a/namespaceluci.html b/namespaceluci.html index 5ea1387b4c6..ab8497399b8 100644 --- a/namespaceluci.html +++ b/namespaceluci.html @@ -2096,7 +2096,7 @@

    CIRCLE_VNODE 

    -

    Definition at line 23 of file CircleOpcode.h.

    +

    Definition at line 23 of file CircleOpcode.h.

    24{
    25#define CIRCLE_NODE(OPCODE, CLASS) OPCODE,
    26#define CIRCLE_VNODE CIRCLE_NODE
    @@ -5163,7 +5163,7 @@

    272 return false;

    273}
    void set(uint32_t value)
    Definition Dimension.h:53
    - +

    References loco::TensorShape::dim(), loco::Dimension::set(), and loco::succs().

    diff --git a/namespaceluci__interpreter.html b/namespaceluci__interpreter.html index 0e9cb9a55f7..07c1a4f9a29 100644 --- a/namespaceluci__interpreter.html +++ b/namespaceluci__interpreter.html @@ -2960,7 +2960,7 @@

    -

    Definition at line 24 of file LeakyRelu.cpp.

    +

    Definition at line 24 of file LeakyRelu.cpp.

    26{
    27 const auto *node = loco::must_cast<const luci::CircleLeakyRelu *>(circle_node);
    28 assert(node->arity() == 1);
    @@ -7584,7 +7584,7 @@

    -

    Definition at line 26 of file LeakyRelu.cpp.

    +

    Definition at line 26 of file LeakyRelu.cpp.

    28{
    29 kernels::SISOKernel kernel(cur_op, runtime_graph);
    30
    @@ -12911,7 +12911,7 @@

    -

    Definition at line 38 of file LeakyRelu.cpp.

    +

    Definition at line 38 of file LeakyRelu.cpp.

    39{
    40 kernels::SISOKernel kernel(cur_op, runtime_graph);
    41
    diff --git a/namespaceluci__interpreter_1_1kernels.html b/namespaceluci__interpreter_1_1kernels.html index 90d058a473d..3d7582288b0 100644 --- a/namespaceluci__interpreter_1_1kernels.html +++ b/namespaceluci__interpreter_1_1kernels.html @@ -2537,7 +2537,7 @@

    References luci_interpreter::RuntimeGraph::getDynamicShapeTensor(), getTensorShape(), luci_interpreter::RuntimeShape::resize(), and luci_interpreter::RuntimeShape::setDim().

    -

    Referenced by luci_interpreter::evalInteger(), luci_interpreter::execute_kernel_CircleAbs(), luci_interpreter::execute_kernel_CircleAdd(), luci_interpreter::execute_kernel_CircleArgMax(), luci_interpreter::execute_kernel_CircleArgMin(), luci_interpreter::execute_kernel_CircleBatchToSpaceND(), luci_interpreter::execute_kernel_CircleBroadcastTo(), luci_interpreter::execute_kernel_CircleCast(), luci_interpreter::execute_kernel_CircleCeil(), luci_interpreter::execute_kernel_CircleCos(), luci_interpreter::execute_kernel_CircleDepthToSpace(), luci_interpreter::execute_kernel_CircleDequantize(), luci_interpreter::execute_kernel_CircleDiv(), luci_interpreter::execute_kernel_CircleElu(), luci_interpreter::execute_kernel_CircleExp(), luci_interpreter::execute_kernel_CircleFloorDiv(), luci_interpreter::execute_kernel_CircleFloorMod(), luci_interpreter::execute_kernel_CircleGatherND(), luci_interpreter::execute_kernel_CircleL2Normalize(), luci_interpreter::execute_kernel_CircleLeakyRelu(), luci_interpreter::execute_kernel_CircleLog(), luci_interpreter::execute_kernel_CircleLogistic(), luci_interpreter::execute_kernel_CircleLogSoftmax(), luci_interpreter::execute_kernel_CircleMaximum(), luci_interpreter::execute_kernel_CircleMinimum(), luci_interpreter::execute_kernel_CircleMul(), luci_interpreter::execute_kernel_CirclePRelu(), luci_interpreter::execute_kernel_CircleQuantize(), luci_interpreter::execute_kernel_CircleRelu(), luci_interpreter::execute_kernel_CircleRelu6(), luci_interpreter::execute_kernel_CircleResizeNearestNeighbor(), luci_interpreter::execute_kernel_CircleRound(), luci_interpreter::execute_kernel_CircleRsqrt(), luci_interpreter::execute_kernel_CircleSin(), luci_interpreter::execute_kernel_CircleSpaceToBatchND(), luci_interpreter::execute_kernel_CircleSpaceToDepth(), luci_interpreter::execute_kernel_CircleSqrt(), luci_interpreter::execute_kernel_CircleSquare(), luci_interpreter::execute_kernel_CircleSquaredDifference(), luci_interpreter::execute_kernel_CircleSub(), luci_interpreter::execute_kernel_CircleTanh(), and luci_interpreter::execute_kernel_CircleZerosLike().

    +

    Referenced by luci_interpreter::evalInteger(), luci_interpreter::execute_kernel_CircleAbs(), luci_interpreter::execute_kernel_CircleAdd(), luci_interpreter::execute_kernel_CircleArgMax(), luci_interpreter::execute_kernel_CircleArgMin(), luci_interpreter::execute_kernel_CircleBatchToSpaceND(), luci_interpreter::execute_kernel_CircleBroadcastTo(), luci_interpreter::execute_kernel_CircleCast(), luci_interpreter::execute_kernel_CircleCeil(), luci_interpreter::execute_kernel_CircleCos(), luci_interpreter::execute_kernel_CircleDepthToSpace(), luci_interpreter::execute_kernel_CircleDequantize(), luci_interpreter::execute_kernel_CircleDiv(), luci_interpreter::execute_kernel_CircleElu(), luci_interpreter::execute_kernel_CircleExp(), luci_interpreter::execute_kernel_CircleFloorDiv(), luci_interpreter::execute_kernel_CircleFloorMod(), luci_interpreter::execute_kernel_CircleGatherND(), luci_interpreter::execute_kernel_CircleL2Normalize(), luci_interpreter::execute_kernel_CircleLeakyRelu(), luci_interpreter::execute_kernel_CircleLog(), luci_interpreter::execute_kernel_CircleLogistic(), luci_interpreter::execute_kernel_CircleLogSoftmax(), luci_interpreter::execute_kernel_CircleMaximum(), luci_interpreter::execute_kernel_CircleMinimum(), luci_interpreter::execute_kernel_CircleMul(), luci_interpreter::execute_kernel_CirclePRelu(), luci_interpreter::execute_kernel_CircleQuantize(), luci_interpreter::execute_kernel_CircleRelu(), luci_interpreter::execute_kernel_CircleRelu6(), luci_interpreter::execute_kernel_CircleResizeNearestNeighbor(), luci_interpreter::execute_kernel_CircleRound(), luci_interpreter::execute_kernel_CircleRsqrt(), luci_interpreter::execute_kernel_CircleSin(), luci_interpreter::execute_kernel_CircleSpaceToBatchND(), luci_interpreter::execute_kernel_CircleSpaceToDepth(), luci_interpreter::execute_kernel_CircleSqrt(), luci_interpreter::execute_kernel_CircleSquare(), luci_interpreter::execute_kernel_CircleSquaredDifference(), luci_interpreter::execute_kernel_CircleSub(), luci_interpreter::execute_kernel_CircleTanh(), and luci_interpreter::execute_kernel_CircleZerosLike().

    @@ -3006,7 +3006,7 @@

    182 *quantized_multiplier = static_cast<int32_t>(q_fixed);

    183}
    -

    Referenced by luci_interpreter::kernels::LeakyRelu::configure(), luci_interpreter::kernels::PRelu::configure(), luci_interpreter::kernels::Relu::configure(), luci_interpreter::kernels::Relu6::configure(), luci_interpreter::createConv2DParams(), quantizeMultipliers(), and quantizeMultiplierSmallerThanOneExp().

    +

    Referenced by luci_interpreter::kernels::LeakyRelu::configure(), luci_interpreter::kernels::PRelu::configure(), luci_interpreter::kernels::Relu::configure(), luci_interpreter::kernels::Relu6::configure(), luci_interpreter::createConv2DParams(), quantizeMultipliers(), and quantizeMultiplierSmallerThanOneExp().

    diff --git a/namespaceluci__interpreter__pal.html b/namespaceluci__interpreter__pal.html index ebce2299699..7f195156ec1 100644 --- a/namespaceluci__interpreter__pal.html +++ b/namespaceluci__interpreter__pal.html @@ -10645,7 +10645,7 @@

    36 }
    37}
    -

    Referenced by luci_interpreter::execute_kernel_CircleLeakyRelu(), luci_interpreter::execute_kernel_CircleRelu(), and luci_interpreter::execute_kernel_CircleRelu6().

    +

    Referenced by luci_interpreter::execute_kernel_CircleLeakyRelu(), luci_interpreter::execute_kernel_CircleRelu(), and luci_interpreter::execute_kernel_CircleRelu6().

    diff --git a/namespacemembers_b.html b/namespacemembers_b.html index 83292e522d9..2b0dc9cbc4e 100644 --- a/namespacemembers_b.html +++ b/namespacemembers_b.html @@ -364,8 +364,8 @@

    - b -

    diff --git a/namespacemembers_c.html b/namespacemembers_c.html index a124351f3d1..f8738570e7c 100644 --- a/namespacemembers_c.html +++ b/namespacemembers_c.html @@ -195,7 +195,7 @@

    - c -

    • ComparisonOperationEx : arm_compute
    • ComparisonOpType : nnfw::cker
    • ComparisonWithScaling() : luci_interpreter_pal, nnfw::cker
    • -
    • composite_origin() : luci
    • +
    • composite_origin() : luci
    • compute_asym_scale_zp() : luci
    • compute_depth() : mpqsolver::bisection
    • compute_depth_to_space_shape_ex() : arm_compute::misc::shape_calculator
    • @@ -213,7 +213,7 @@

      - c -

      • computeOutputSize() : luci_interpreter::kernels
      • computePadding() : luci_interpreter::kernels
      • computePaddingWithOffset() : luci_interpreter::kernels
      • -
      • concat() : enco
      • +
      • concat() : enco
      • Concat() : mir_interpreter
      • Concatenation() : luci_interpreter_pal, nnfw::cker
      • ConcatenationWithScaling() : nnfw::cker
      • diff --git a/namespacemembers_d.html b/namespacemembers_d.html index a5203b1d71d..ed969f8e7c4 100644 --- a/namespacemembers_d.html +++ b/namespacemembers_d.html @@ -148,8 +148,9 @@

        - d -

        • driver : eval_result_verifier, luci_eval_verifier, luci_eval_verifier_ref, part_eval_one, q_implant_qparam_test, validate_onnx2circle
        • dset : jpeg2hdf5
        • dset_shape : jpeg2hdf5
        • +
        • dtype() : ann
        • DType : ann
        • -
        • dtype() : ann, compare_tensors_all, gen_h5_explicit_inputs_all
        • +
        • dtype : compare_tensors_all, gen_h5_explicit_inputs_all
        • dtype< float >() : ann
        • dtype< int32_t >() : ann
        • dtype_erase() : loco
        • diff --git a/namespacemembers_e.html b/namespacemembers_e.html index 04283b62968..ffde0a5d4ca 100644 --- a/namespacemembers_e.html +++ b/namespacemembers_e.html @@ -130,8 +130,8 @@

          - e -

          • erase() : mir_interpreter
          • erase_annot_domain() : locomotiv
          • Erf() : nnfw::cker
          • -
          • error() : hermes
          • ERROR : hermes
          • +
          • error() : hermes
          • ErrorCategory : loco
          • EscapeString() : flatbuffers
          • etoi() : nnc
          • diff --git a/namespacemembers_enum.html b/namespacemembers_enum.html index c1b8c4607f9..3b9e7da8c6f 100644 --- a/namespacemembers_enum.html +++ b/namespacemembers_enum.html @@ -113,8 +113,8 @@

            - b -

            diff --git a/namespacemembers_f.html b/namespacemembers_f.html index 840b3474e0c..62a041db2df 100644 --- a/namespacemembers_f.html +++ b/namespacemembers_f.html @@ -96,8 +96,8 @@

            - f -

            • failed_number : compare_tensors_all
            • FailedCheckCondition : onert_micro
            • FakeQuant() : tflite::reference_ops
            • -
            • fatal() : hermes
            • FATAL : hermes
            • +
            • fatal() : hermes
            • fb_string2std_string() : luci
            • FBT_BLOB : flexbuffers
            • FBT_BOOL : flexbuffers
            • diff --git a/namespacemembers_func_c.html b/namespacemembers_func_c.html index 0dee2252323..780a43e4a5a 100644 --- a/namespacemembers_func_c.html +++ b/namespacemembers_func_c.html @@ -95,9 +95,9 @@

              - c -

              • cal_offset() : luci
              • calcConvLikeHeightAndWidth() : onert::shape_inference
              • calcOffset() : luci_interpreter::kernels
              • -
              • calculateActivationRange() : luci_interpreter::kernels
              • +
              • calculateActivationRange() : luci_interpreter::kernels
              • CalculateActivationRange() : onert::util
              • -
              • calculateActivationRangeQuantized() : luci_interpreter::kernels
              • +
              • calculateActivationRangeQuantized() : luci_interpreter::kernels
              • CalculateActivationRangeQuantized() : onert::backend::cpu::ops
              • calculateInputRadius() : luci_interpreter::kernels
              • CalculateInputRadius() : onert::backend::cpu::ops
              • @@ -111,7 +111,7 @@

                - c -

                • cast() : coco
                • castInputData() : onert_micro::core::utils
                • castOutputData() : onert_micro::core::utils
                • -
                • CastToArray() : flatbuffers
                • +
                • CastToArray() : flatbuffers
                • CastToArrayOfEnum() : flatbuffers
                • CategoricalCrossEntropy() : nnfw::cker::train
                • CategoricalCrossEntropyGrad() : nnfw::cker::train
                • @@ -278,7 +278,7 @@

                  - c -

                  • connect_to() : moco::tf::eltwise::binary
                  • constantToShape() : mir_onnx
                  • consumers() : coco
                  • -
                  • Conv() : nnfw::cker::multithreaded, nnfw::cker::optimized, nnfw::cker::reference
                  • +
                  • Conv() : nnfw::cker::multithreaded, nnfw::cker::optimized, nnfw::cker::reference
                  • conv() : nnop
                  • Conv2D() : mir_interpreter
                  • conv2D_padding() : tflimport
                  • diff --git a/namespacemembers_func_l.html b/namespacemembers_func_l.html index 2e06cf6733b..fbbfa9d893c 100644 --- a/namespacemembers_func_l.html +++ b/namespacemembers_func_l.html @@ -110,7 +110,7 @@

                    - l -

                    • LoadFile() : flatbuffers
                    • loadFunction() : nnfw
                    • loadLibrary() : nnfw
                    • -
                    • loadModel() : mir_caffe2, mir_caffe, mir_onnx, mir_tflite, onert::circle_loader, onert::tflite_loader, onert::trix_loader
                    • +
                    • loadModel() : mir_caffe2, mir_caffe, mir_onnx, mir_tflite, onert::circle_loader, onert::loader, onert::tflite_loader, onert::trix_loader
                    • loadTrainingInfo() : onert::train::traininfo_loader
                    • LocalResponseNormalization() : tflite::reference_ops
                    • Log() : luci_interpreter_pal, nnfw::cker
                    • @@ -130,7 +130,7 @@

                      - l -

                      • lower_avgpool() : enco
                      • lower_concat() : enco
                      • lower_copy() : enco
                      • -
                      • LstmCell() : tflite::reference_ops
                      • +
                      • LstmCell() : tflite::reference_ops
                      • lstmStep() : luci_interpreter_pal::lstm_internal
                      • LstmStepFloat() : nnfw::cker
                      • luci_actfunc() : luci, luci_interpreter
                      • diff --git a/namespacemembers_func_m.html b/namespacemembers_func_m.html index b547a27b1b2..dd3793a6eef 100644 --- a/namespacemembers_func_m.html +++ b/namespacemembers_func_m.html @@ -178,8 +178,8 @@

                        - m -

                        • module() : enco
                        • MSE() : nnfw::cker::train
                        • MSEGrad() : nnfw::cker::train
                        • -
                        • mul() : luci_interpreter_pal::lstm_internal
                        • -
                        • Mul() : luci_interpreter_pal, mir_interpreter, nnfw::cker::optimized, tflite::reference_ops
                        • +
                        • mul() : luci_interpreter_pal::lstm_internal
                        • +
                        • Mul() : luci_interpreter_pal, mir_interpreter, nnfw::cker::optimized, tflite::reference_ops
                        • Mul< int16_t >() : luci_interpreter_pal
                        • Mul< int8_t >() : luci_interpreter_pal
                        • mulElementwise() : luci_interpreter_pal::lstm_internal
                        • diff --git a/namespacemembers_func_t.html b/namespacemembers_func_t.html index 9d041ba9887..cc52891e96c 100644 --- a/namespacemembers_func_t.html +++ b/namespacemembers_func_t.html @@ -92,7 +92,7 @@
                          Here is a list of all namespace functions with links to the namespace documentation for each function:

                          - t -

                            -
                          • tanh() : luci_interpreter_pal::lstm_internal
                          • +
                          • tanh() : luci_interpreter_pal::lstm_internal
                          • Tanh() : luci_interpreter_pal, mir_interpreter, nnfw::cker
                          • tensor_dtype_as_string() : moco::onnx
                          • tensor_name() : luci, mio::circle, mio::tflite
                          • @@ -101,7 +101,7 @@

                            - t -

                            • tensor_type() : circle, mio::circle, mio::tflite
                            • tensorinfo() : package.libnnfw_api_pybind
                            • test_circle_part_value() : test_circle_part_value
                            • -
                            • test_luci_eval() : test_luci_eval
                            • +
                            • test_luci_eval() : test_luci_eval
                            • test_luci_eval_ref() : test_luci_eval_ref
                            • test_luci_eval_tol() : test_luci_eval
                            • test_luci_eval_tol_ref() : test_luci_eval_ref
                            • diff --git a/namespacemembers_i.html b/namespacemembers_i.html index eccc5fd3376..7d86da16055 100644 --- a/namespacemembers_i.html +++ b/namespacemembers_i.html @@ -140,8 +140,8 @@

                              - i -

                              • inferUnpackShape() : onert::shape_inference
                              • infile : infer_testcases
                              • infilename : jpeg2hdf5
                              • -
                              • info() : hermes
                              • INFO : hermes
                              • +
                              • info() : hermes
                              • initConsts() : onert::backend::basic
                              • initNet : nnc::cli
                              • initReverseOrder() : onert::backend::acl_common
                              • diff --git a/namespacemembers_l.html b/namespacemembers_l.html index 928e88f2434..f25dc4cdfed 100644 --- a/namespacemembers_l.html +++ b/namespacemembers_l.html @@ -128,7 +128,7 @@

                                - l -

                                • LoadFileFunction : flatbuffers
                                • loadFunction() : nnfw
                                • loadLibrary() : nnfw
                                • -
                                • loadModel() : mir_caffe2, mir_caffe, mir_onnx, mir_tflite, onert::circle_loader, onert::tflite_loader, onert::trix_loader
                                • +
                                • loadModel() : mir_caffe2, mir_caffe, mir_onnx, mir_tflite, onert::circle_loader, onert::loader, onert::tflite_loader, onert::trix_loader
                                • loadTrainingInfo() : onert::train::traininfo_loader
                                • LocalResponseNormalization() : tflite::reference_ops
                                • Log() : luci_interpreter_pal, nnfw::cker
                                • @@ -142,8 +142,8 @@

                                  - l -

                                  • LogicalNot() : luci_interpreter_pal, nnfw::cker
                                  • LogicalOrBroadcast() : nnfw::cker
                                  • LogicalOrElementwise() : nnfw::cker
                                  • -
                                  • Logistic() : luci_interpreter_pal, nnfw::cker
                                  • -
                                  • LogSoftmax() : luci_interpreter_pal, nnfw::cker
                                  • +
                                  • Logistic() : luci_interpreter_pal, nnfw::cker
                                  • +
                                  • LogSoftmax() : luci_interpreter_pal, nnfw::cker
                                  • LookupEnum() : flatbuffers
                                  • LoopCondition() : nnfw::cker
                                  • LossCode : onert::ir::train
                                  • diff --git a/namespacemembers_t.html b/namespacemembers_t.html index 54f96ddfb0a..56b134217fc 100644 --- a/namespacemembers_t.html +++ b/namespacemembers_t.html @@ -92,7 +92,7 @@
                                    Here is a list of all namespace members with links to the namespace documentation for each member:

                                    - t -

                                      -
                                    • tanh() : luci_interpreter_pal::lstm_internal
                                    • +
                                    • tanh() : luci_interpreter_pal::lstm_internal
                                    • Tanh() : luci_interpreter_pal, mir_interpreter, nnfw::cker
                                    • target : nnc::cli
                                    • Task : nnfw::cker::cpu_backend_threadpool
                                    • diff --git a/namespacemembers_w.html b/namespacemembers_w.html index f6f9840271f..276efc299a6 100644 --- a/namespacemembers_w.html +++ b/namespacemembers_w.html @@ -93,8 +93,8 @@

                                      - w -

                                      • w : jpeg2hdf5
                                      • -
                                      • WARN : hermes
                                      • warn() : hermes
                                      • +
                                      • WARN : hermes
                                      • warn_accuracy_with_range() : luci
                                      • WholeOutput : mpqsolver::core, record_minmax
                                      • WidthF() : flexbuffers
                                      • diff --git a/namespaceminimal.html b/namespaceminimal.html index 72941e638f1..3690c6a5515 100644 --- a/namespaceminimal.html +++ b/namespaceminimal.html @@ -140,7 +140,7 @@

                                        Definition at line 5 of file minimal.py.

                                        -
                                        5def main(nnpackage_path, backends="cpu", operations=""):
                                        +
                                        5def main(nnpackage_path, backends="cpu", operations=""):
                                        6 # Create session and load nnpackage
                                        7 # operations is optional to assign a specific backends to each operation.
                                        8 # The default value of backends is "cpu".
                                        @@ -159,8 +159,8 @@

                                        21 return

                                        22
                                        23
                                        -
                                        int main()
                                        Definition main.cpp:58
                                        - +
                                        int main()
                                        Definition main.cpp:58
                                        +
                                        diff --git a/namespacemir__interpreter.html b/namespacemir__interpreter.html index 29ddb62ed66..bfba513de8d 100644 --- a/namespacemir__interpreter.html +++ b/namespacemir__interpreter.html @@ -1207,7 +1207,7 @@

                                        -

                                        Definition at line 44 of file LeakyReLU.cpp.

                                        +

                                        Definition at line 44 of file LeakyReLU.cpp.

                                        45{
                                        46 dispatch<LeakyReLUImpl>(result.getElementType(), arg, alpha, result);
                                        47}
                                        diff --git a/namespacemir__onnx.html b/namespacemir__onnx.html index 0a5591f8384..32de2ff2e52 100644 --- a/namespacemir__onnx.html +++ b/namespacemir__onnx.html @@ -4648,7 +4648,7 @@

                                        226 return importer.importModelFromBinaryFile(filename);

                                        227}
                                        -

                                        Referenced by loadModel(), and main().

                                        +

                                        Referenced by loadModel(), and main().

                                        @@ -4674,7 +4674,7 @@

                                        232 return importer.importModelFromTextFile(filename);
                                        233}
                                        -

                                        Referenced by main().

                                        +

                                        Referenced by main().

                                        diff --git a/namespacemorph.html b/namespacemorph.html index aecb4e5cfe7..60a3a15f1b2 100644 --- a/namespacemorph.html +++ b/namespacemorph.html @@ -132,7 +132,7 @@

                                        -

                                        Definition at line 27 of file dims.h.

                                        +

                                        Definition at line 27 of file dims.h.

                                        @@ -153,7 +153,7 @@

                                        -

                                        Definition at line 24 of file dims.cpp.

                                        +

                                        Definition at line 24 of file dims.cpp.

                                        25{
                                        27
                                        @@ -166,7 +166,7 @@

                                        34}

                                        uint32_t & dim(uint32_t axis)
                                        Definition Shape.cpp:42
                                        uint32_t rank(void) const
                                        Definition Shape.cpp:35
                                        -
                                        Definition Dims.h:26
                                        +
                                        Definition Dims.h:26

                                        References nncc::core::ADT::tensor::Shape::dim(), and nncc::core::ADT::tensor::Shape::rank().

                                        diff --git a/namespacennfw_1_1cker.html b/namespacennfw_1_1cker.html index a8b03b60ab7..854ada82c2d 100644 --- a/namespacennfw_1_1cker.html +++ b/namespacennfw_1_1cker.html @@ -2043,7 +2043,7 @@

                                        191 input_row_ptr += depth;
                                        192 }
                                        193 }
                                        -
                                        194 uint8_t *output_ptr = output_data + Offset(output_shape, batch, out_y, out_x, depth_base);
                                        +
                                        194 uint8_t *output_ptr = output_data + Offset(output_shape, batch, out_y, out_x, depth_base);
                                        195 int channel = 0;
                                        196#ifdef USE_NEON
                                        197#define AVGPOOL_DIVIDING_BY(FILTER_COUNT) \
                                        @@ -2090,7 +2090,7 @@

                                        238 }
                                        239 }
                                        240}
                                        -
                                        int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
                                        Definition Dims.h:64
                                        +
                                        int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
                                        Definition Dims.h:64
                                        int MatchingDim(const Shape &shape1, int index1, const Shape &shape2, int index2)
                                        Definition Shape.h:222
                                        @@ -2252,7 +2252,7 @@

                                        332 input_row_ptr += depth;
                                        333 }
                                        334 }
                                        -
                                        335 uint8_t *output_ptr = output_data + Offset(output_shape, batch, out_y, out_x, depth_base);
                                        +
                                        335 uint8_t *output_ptr = output_data + Offset(output_shape, batch, out_y, out_x, depth_base);
                                        336 int channel = 0;
                                        337#ifdef USE_NEON
                                        338#define AVGPOOL_DIVIDING_BY(FILTER_COUNT) \
                                        @@ -2558,7 +2558,7 @@

                                        487 input_row_ptr += depth;
                                        488 }
                                        489 }
                                        -
                                        490 int8_t *output_ptr = output_data + Offset(output_shape, batch, out_y, out_x, depth_base);
                                        +
                                        490 int8_t *output_ptr = output_data + Offset(output_shape, batch, out_y, out_x, depth_base);
                                        491 int channel = 0;
                                        492#ifdef USE_NEON
                                        493 for (; channel <= tranche_depth - 8; channel += 8)
                                        @@ -2786,8 +2786,8 @@

                                        119 in_w * block_shape_width + spatial_offset % block_shape_width - crops_left;
                                        120 assert(out_w >= 0);
                                        121 assert(out_w < output_width);
                                        -
                                        122 T *out = output_data + Offset(output_shape, out_batch, out_h, out_w, 0);
                                        -
                                        123 const T *in = input1_data + Offset(input1_shape, in_batch, in_h, in_w, 0);
                                        +
                                        122 T *out = output_data + Offset(output_shape, out_batch, out_h, out_w, 0);
                                        +
                                        123 const T *in = input1_data + Offset(input1_shape, in_batch, in_h, in_w, 0);
                                        124 memcpy(out, in, depth * sizeof(T));
                                        125 }
                                        126 }
                                        @@ -3705,7 +3705,7 @@

                                        110 {
                                        112 {
                                        -
                                        113 output_data[Offset(output_shape, b, y, x, c)] =
                                        +
                                        113 output_data[Offset(output_shape, b, y, x, c)] =
                                        114 F(input1_data[SubscriptToIndex(desc1, b, y, x, c)],
                                        115 input2_data[SubscriptToIndex(desc2, b, y, x, c)]);
                                        116 }
                                        @@ -3825,7 +3825,7 @@

                                        168 shifted_input1_val, input1_multiplier, input1_shift);
                                        170 shifted_input2_val, input2_multiplier, input2_shift);
                                        -
                                        171 output_data[Offset(output_shape, b, y, x, c)] = F(scaled_input1_val, scaled_input2_val);
                                        +
                                        171 output_data[Offset(output_shape, b, y, x, c)] = F(scaled_input1_val, scaled_input2_val);
                                        172 }
                                        173 }
                                        174 }
                                        @@ -3945,7 +3945,7 @@

                                        100 const int condition_index = SubscriptToIndex(desc_condition, b, y, x, c);
                                        101 const int x_index = SubscriptToIndex(desc_x, b, y, x, c);
                                        102 const int y_index = SubscriptToIndex(desc_y, b, y, x, c);
                                        -
                                        103 output_data[Offset(extended_output_shape, b, y, x, c)] =
                                        +
                                        103 output_data[Offset(extended_output_shape, b, y, x, c)] =
                                        104 input_condition_data[condition_index] ? input_x_data[x_index] : input_y_data[y_index];
                                        105 }
                                        106 }
                                        @@ -4821,13 +4821,13 @@

                                        Definition at line 40 of file Comparison.h.

                                        43{
                                        44 const int64_t flatsize = // number of data....
                                        -
                                        45 MatchingFlatSize(input1_shape, input2_shape, output_shape);
                                        +
                                        45 MatchingFlatSize(input1_shape, input2_shape, output_shape);
                                        46 for (int64_t i = 0; i < flatsize; ++i)
                                        47 {
                                        48 output_data[i] = F(input1_data[i], input2_data[i]);
                                        49 }
                                        50}
                                        -
                                        int MatchingFlatSize(const Dims< N > &dims, const Dims< N > &check_dims_0)
                                        Definition Dims.h:108
                                        +
                                        int MatchingFlatSize(const Dims< N > &dims, const Dims< N > &check_dims_0)
                                        Definition Dims.h:108

                                        References MatchingFlatSize(), and output_shape.

                                        @@ -4908,7 +4908,7 @@

                                        71 int32_t input2_offset = params.input2_offset;
                                        72 int32_t input2_multiplier = params.input2_multiplier;
                                        73 int input2_shift = params.input2_shift;
                                        -
                                        74 const int64_t flatsize = MatchingFlatSize(input1_shape, input2_shape, output_shape);
                                        +
                                        74 const int64_t flatsize = MatchingFlatSize(input1_shape, input2_shape, output_shape);
                                        75 for (int64_t i = 0; i < flatsize; ++i)
                                        76 {
                                        77 const int32_t input1_val = input1_offset + input1_data[i];
                                        @@ -5394,7 +5394,7 @@

                                        @ scale
                                        -
                                        Definition Dims.h:26
                                        +
                                        Definition Dims.h:26
                                        const int32_t * input_zeropoint
                                        Definition Types.h:216
                                        @@ -5562,7 +5562,7 @@

                                        Definition at line 41 of file Elementwise.h.

                                        43{
                                        -
                                        44 const int size = MatchingFlatSize(input_shape, output_shape);
                                        +
                                        44 const int size = MatchingFlatSize(input_shape, output_shape);
                                        45 for (int i = 0; i < size; i++)
                                        46 {
                                        47 output_data[i] = std::cos(input_data[i]);
                                        @@ -5740,7 +5740,7 @@

                                        49 {

                                        50 for (int in_h = 0; in_h < input_height; ++in_h)
                                        51 {
                                        -
                                        52 const T *input_ptr = input_data + Offset(input_shape, batch, in_h, 0, 0);
                                        +
                                        52 const T *input_ptr = input_data + Offset(input_shape, batch, in_h, 0, 0);
                                        53 for (int offset_h = 0; offset_h < block_size; ++offset_h)
                                        54 {
                                        55 const T *src = input_ptr;
                                        @@ -5967,7 +5967,7 @@

                                        Definition at line 115 of file Dequantize.h.

                                        118{
                                        -
                                        119 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        +
                                        119 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        120
                                        121 int i = 0;
                                        122#ifdef USE_NEON
                                        @@ -6060,7 +6060,7 @@

                                        Definition at line 80 of file Dequantize.h.

                                        83{
                                        -
                                        84 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        +
                                        84 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        85
                                        86 int i = 0;
                                        87#ifdef USE_NEON
                                        @@ -6155,7 +6155,7 @@

                                        Definition at line 44 of file Dequantize.h.

                                        47{
                                        -
                                        48 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        +
                                        48 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        49
                                        50 int i = 0;
                                        51#ifdef USE_NEON
                                        @@ -6239,7 +6239,7 @@

                                        Definition at line 30 of file ELU.h.

                                        32{
                                        -
                                        33 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        +
                                        33 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        34 for (int i = 0; i < flat_size; ++i)
                                        35 {
                                        36 const float val = input_data[i];
                                        @@ -6342,7 +6342,7 @@

                                        Definition at line 29 of file Erf.h.

                                        @@ -6610,7 +6610,7 @@

                                        Definition at line 90 of file Elementwise.h.

                                        92{
                                        -
                                        93 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        +
                                        93 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        94
                                        95 for (int i = 0; i < flat_size; i++)
                                        96 {
                                        @@ -6702,7 +6702,7 @@

                                        49 {

                                        51 {
                                        -
                                        52 auto out_idx = Offset(output_shape, b, y, x, c);
                                        +
                                        52 auto out_idx = Offset(output_shape, b, y, x, c);
                                        53 auto in1_idx = SubscriptToIndex(desc1, b, y, x, c);
                                        54 auto in2_idx = SubscriptToIndex(desc2, b, y, x, c);
                                        55 auto in1_val = input1_data[in1_idx];
                                        @@ -6871,7 +6871,7 @@

                                        61 {

                                        63 {
                                        -
                                        64 auto out_idx = Offset(output_shape, b, y, x, c);
                                        +
                                        64 auto out_idx = Offset(output_shape, b, y, x, c);
                                        65 auto in1_idx = SubscriptToIndex(desc1, b, y, x, c);
                                        66 auto in2_idx = SubscriptToIndex(desc2, b, y, x, c);
                                        67 auto in1_val = input1_data[in1_idx];
                                        @@ -8463,7 +8463,7 @@

                                        56 {

                                        57 for (int32_t width = 0; width < widths; width++)
                                        58 {
                                        -
                                        59 double input_val = input_data[Offset(input_shape, batch, height, width, channel)];
                                        +
                                        59 double input_val = input_data[Offset(input_shape, batch, height, width, channel)];
                                        60 sum += input_val;
                                        61 square_sum += (input_val * input_val);
                                        62 }
                                        @@ -8482,9 +8482,9 @@

                                        75 {

                                        76 for (int32_t width = 0; width < widths; width++)
                                        77 {
                                        -
                                        +
                                        78 double input_value = input_data[Offset(output_shape, batch, height, width, channel)];
                                        79 double output_value = input_value * a + b;
                                        -
                                        80 output_data[Offset(output_shape, batch, height, width, channel)] =
                                        +
                                        80 output_data[Offset(output_shape, batch, height, width, channel)] =
                                        81 ActivationFunctionWithMinMax((float)output_value, output_activation_min,
                                        82 output_activation_max);
                                        83 }
                                        @@ -8754,7 +8754,7 @@

                                        Definition at line 31 of file LeakyReLU.h.

                                        33{
                                        -
                                        34 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        +
                                        34 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        35
                                        36 for (int i = 0; i < flat_size; i++)
                                        37 {
                                        @@ -8901,7 +8901,7 @@

                                        Definition at line 80 of file Elementwise.h.

                                        82{
                                        -
                                        83 const int size = MatchingFlatSize(input_shape, output_shape);
                                        +
                                        83 const int size = MatchingFlatSize(input_shape, output_shape);
                                        84 for (int i = 0; i < size; i++)
                                        85 {
                                        86 output_data[i] = std::log(input_data[i]);
                                        @@ -8992,7 +8992,7 @@

                                        49 {

                                        51 {
                                        -
                                        52 auto out_idx = Offset(output_shape, b, y, x, c);
                                        +
                                        52 auto out_idx = Offset(output_shape, b, y, x, c);
                                        53 auto in1_idx = SubscriptToIndex(desc1, b, y, x, c);
                                        54 auto in2_idx = SubscriptToIndex(desc2, b, y, x, c);
                                        55 auto in1_val = input1_data[in1_idx];
                                        @@ -9119,7 +9119,7 @@

                                        Definition at line 28 of file LogicalNot.h.

                                        30{
                                        -
                                        31 const int size = MatchingFlatSize(input_shape, output_shape);
                                        +
                                        31 const int size = MatchingFlatSize(input_shape, output_shape);
                                        32 for (int i = 0; i < size; i++)
                                        33 {
                                        34 output_data[i] = !input_data[i];
                                        @@ -9210,7 +9210,7 @@

                                        49 {

                                        51 {
                                        -
                                        52 auto out_idx = Offset(output_shape, b, y, x, c);
                                        +
                                        52 auto out_idx = Offset(output_shape, b, y, x, c);
                                        53 auto in1_idx = SubscriptToIndex(desc1, b, y, x, c);
                                        54 auto in2_idx = SubscriptToIndex(desc2, b, y, x, c);
                                        55 auto in1_val = input1_data[in1_idx];
                                        @@ -10110,7 +10110,7 @@

                                        References nnfw::cker::Shape::Dims(), and UNUSED_RELEASE.

                                        -

                                        Referenced by AveragePool16(), AveragePool32(), AveragePool< float >(), AveragePool< int8_t >(), nnfw::cker::train::DepthwiseConv::backpropFilter(), nnfw::cker::train::DepthwiseConv::backpropInput(), Concatenation(), nnfw::cker::reference::Conv(), nnfw::cker::multithreaded::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::train::ConvFilterGrad(), nnfw::cker::train::ConvInputGrad(), nnfw::cker::optimized_integer_ops::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::reference_integer_ops::DepthwiseConvHybridPerChannel(), nnfw::cker::optimized::DepthwiseConvImpl(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), nnfw::cker::optimized_integer_ops::DepthwiseConvWithRounding(), nnfw::cker::optimized::DepthwiseConvWithRounding(), nnfw::cker::optimized::DilatedIm2col(), FullyConnected(), FullyConnectedSparseWeight16x1(), FullyConnectedSparseWeightRandom(), nnfw::cker::reference::HybridConvPerChannel(), nnfw::cker::optimized::Im2col(), InstanceNorm(), L2NormalizeFloat32(), L2NormalizeQuant8(), LogSoftmax(), LogSoftmax(), MatchingDim(), nnfw::cker::train::MaxPool2D(), nnfw::cker::train::MaxPool2DGrad(), MaxPool< float >(), MaxPool< uint8_t >(), RankOneSelect(), ResizeBilinear(), ResizeBilinear(), ResizeBilinear(), nnfw::cker::reference::Softmax(), Softmax(), SplitV(), TransposeConv(), and nnfw::cker::reference::TransposeImpl().

                                        +

                                        Referenced by AveragePool16(), AveragePool32(), AveragePool< float >(), AveragePool< int8_t >(), nnfw::cker::train::DepthwiseConv::backpropFilter(), nnfw::cker::train::DepthwiseConv::backpropInput(), Concatenation(), nnfw::cker::reference::Conv(), nnfw::cker::multithreaded::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::train::ConvFilterGrad(), nnfw::cker::train::ConvInputGrad(), nnfw::cker::optimized_integer_ops::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::reference_integer_ops::DepthwiseConvHybridPerChannel(), nnfw::cker::optimized::DepthwiseConvImpl(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), nnfw::cker::optimized_integer_ops::DepthwiseConvWithRounding(), nnfw::cker::optimized::DepthwiseConvWithRounding(), nnfw::cker::optimized::DilatedIm2col(), FullyConnected(), FullyConnectedSparseWeight16x1(), FullyConnectedSparseWeightRandom(), nnfw::cker::reference::HybridConvPerChannel(), nnfw::cker::optimized::Im2col(), InstanceNorm(), L2NormalizeFloat32(), L2NormalizeQuant8(), LogSoftmax(), LogSoftmax(), MatchingDim(), nnfw::cker::train::MaxPool2D(), nnfw::cker::train::MaxPool2DGrad(), MaxPool< float >(), MaxPool< uint8_t >(), RankOneSelect(), ResizeBilinear(), ResizeBilinear(), ResizeBilinear(), nnfw::cker::reference::Softmax(), Softmax(), SplitV(), TransposeConv(), and nnfw::cker::reference::TransposeImpl().

                                        @@ -10908,7 +10908,7 @@

                                        66 {
                                        68 {
                                        -
                                        69 auto out_idx = Offset(output_shape, b, y, x, c);
                                        +
                                        69 auto out_idx = Offset(output_shape, b, y, x, c);
                                        70 auto in1_idx = SubscriptToIndex(desc1, b, y, x, c);
                                        71 auto in2_idx = SubscriptToIndex(desc2, b, y, x, c);
                                        72 auto in1_val = input1_data[in1_idx];
                                        @@ -11207,7 +11207,7 @@

                                        174 input_row_ptr += depth;
                                        175 }
                                        176 }
                                        -
                                        177 uint8_t *output_ptr = output_data + Offset(output_shape, batch, out_y, out_x, depth_base);
                                        +
                                        177 uint8_t *output_ptr = output_data + Offset(output_shape, batch, out_y, out_x, depth_base);
                                        178 int channel = 0;
                                        179#ifdef USE_NEON
                                        180 for (; channel <= tranche_depth - 16; channel += 16)
                                        @@ -11409,10 +11409,10 @@

                                        254 {
                                        255 for (int in_w = 0; in_w < input_width; ++in_w)
                                        256 {
                                        -
                                        257 value += input_data[Offset(input_shape, out_b, in_h, in_w, out_d)];
                                        +
                                        257 value += input_data[Offset(input_shape, out_b, in_h, in_w, out_d)];
                                        258 }
                                        259 }
                                        -
                                        260 output_data[Offset(output_shape, out_b, 0, 0, out_d)] = value / (input_width * input_height);
                                        +
                                        260 output_data[Offset(output_shape, out_b, 0, 0, out_d)] = value / (input_width * input_height);
                                        261 }
                                        262 }
                                        263}
                                        @@ -11685,7 +11685,7 @@

                                        99 right_shift);
                                        100}
                                        -

                                        Referenced by nnfw::cker::reference::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), FullyConnected(), nnfw::cker::optimized::MulElementwise(), nnfw::cker::optimized::MulElementwise(), nnfw::cker::optimized::MulSimpleBroadcast(), nnfw::cker::optimized::quant8_mul(), Quantize(), Requantize< int8_t, uint8_t >(), and Requantize< uint8_t, int8_t >().

                                        +

                                        Referenced by nnfw::cker::reference::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), FullyConnected(), nnfw::cker::optimized::MulElementwise(), nnfw::cker::optimized::MulElementwise(), nnfw::cker::optimized::MulSimpleBroadcast(), nnfw::cker::optimized::quant8_mul(), Quantize(), Requantize< int8_t, uint8_t >(), and Requantize< uint8_t, int8_t >().

                                        @@ -12111,7 +12111,7 @@

                                        Definition at line 70 of file Elementwise.h.

                                        72{
                                        -
                                        73 const int size = MatchingFlatSize(input_shape, output_shape);
                                        +
                                        73 const int size = MatchingFlatSize(input_shape, output_shape);
                                        74 for (int i = 0; i < size; i++)
                                        75 {
                                        76 output_data[i] = -input_data[i];
                                        @@ -12331,7 +12331,7 @@

                                        Definition at line 252 of file Shape.h.

                                        253{
                                        -
                                        254 return Offset(shape, index[0], index[1], index[2], index[3]);
                                        +
                                        254 return Offset(shape, index[0], index[1], index[2], index[3]);
                                        255}

                                        References Offset().

                                        @@ -12404,7 +12404,7 @@

                                        References nnfw::cker::Shape::DimensionsCount(), and nnfw::cker::Shape::DimsDataUpTo4D().

                                        -

                                        Referenced by AveragePool16(), AveragePool32(), AveragePool< int8_t >(), BatchToSpaceND(), nnfw::cker::reference::BroadcastBinaryArithmeticOpSlow(), nnfw::cker::reference::BroadcastBinaryArithmeticOpSlow(), nnfw::cker::reference::BroadcastBinaryArithmeticOpSlow(), nnfw::cker::reference::BroadcastBinaryArithmeticOpSlow(), BroadcastComparison4DSlowImpl(), BroadcastComparison4DSlowWithScaling(), BroadcastSelect4DSlow(), nnfw::cker::reference::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::reference::Conv(), DepthToSpace(), nnfw::cker::reference_integer_ops::DepthwiseConvHybridPerChannel(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), nnfw::cker::optimized::DilatedIm2col(), nnfw::cker::optimized::ExtractPatchIntoBufferColumn(), FloorDivBroadcast(), FloorModBroadcast(), nnfw::cker::reference::HybridConvPerChannel(), InstanceNorm(), LogicalAndBroadcast(), LogicalOrBroadcast(), MaximumMinimumBroadcast4DSlow(), MaxPool< uint8_t >(), MeanAxis1And2(), Offset(), ResizeBilinear(), ResizeBilinearGeneric(), ResizeBilinearGenericSmallChannel(), ResizeBilinearKernel2x2(), Slice(), SpaceToBatchND(), SpaceToDepth(), StridedSlice(), TransposeConv(), and nnfw::cker::reference::TransposeImpl().

                                        +

                                        Referenced by AveragePool16(), AveragePool32(), AveragePool< int8_t >(), BatchToSpaceND(), nnfw::cker::reference::BroadcastBinaryArithmeticOpSlow(), nnfw::cker::reference::BroadcastBinaryArithmeticOpSlow(), nnfw::cker::reference::BroadcastBinaryArithmeticOpSlow(), nnfw::cker::reference::BroadcastBinaryArithmeticOpSlow(), BroadcastComparison4DSlowImpl(), BroadcastComparison4DSlowWithScaling(), BroadcastSelect4DSlow(), nnfw::cker::reference::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::reference::Conv(), DepthToSpace(), nnfw::cker::reference_integer_ops::DepthwiseConvHybridPerChannel(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), nnfw::cker::optimized::DilatedIm2col(), nnfw::cker::optimized::ExtractPatchIntoBufferColumn(), FloorDivBroadcast(), FloorModBroadcast(), nnfw::cker::reference::HybridConvPerChannel(), InstanceNorm(), LogicalAndBroadcast(), LogicalOrBroadcast(), MaximumMinimumBroadcast4DSlow(), MaxPool< uint8_t >(), MeanAxis1And2(), Offset(), ResizeBilinear(), ResizeBilinearGeneric(), ResizeBilinearGenericSmallChannel(), ResizeBilinearKernel2x2(), Slice(), SpaceToBatchND(), SpaceToDepth(), StridedSlice(), TransposeConv(), and nnfw::cker::reference::TransposeImpl().

                                        @@ -13916,7 +13916,7 @@

                                        Definition at line 31 of file Pow.h.

                                        33{
                                        -
                                        34 const int flat_size = MatchingFlatSize(input1_shape, input2_shape, output_shape);
                                        +
                                        34 const int flat_size = MatchingFlatSize(input1_shape, input2_shape, output_shape);
                                        35 for (int i = 0; i < flat_size; ++i)
                                        36 {
                                        37 output_data[i] = std::pow(input1_data[i], input2_data[i]);
                                        @@ -14309,7 +14309,7 @@

                                        Definition at line 156 of file Quantize.h.

                                        158{
                                        -
                                        159 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        +
                                        159 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        160 static constexpr int32_t min_val = std::numeric_limits<int16_t>::min();
                                        161 static constexpr int32_t max_val = std::numeric_limits<int16_t>::max();
                                        162
                                        @@ -14424,7 +14424,7 @@

                                        Definition at line 50 of file Quantize.h.

                                        52{
                                        -
                                        53 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        +
                                        53 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        54 static constexpr int32_t min_val = std::numeric_limits<int8_t>::min();
                                        55 static constexpr int32_t max_val = std::numeric_limits<int8_t>::max();
                                        56
                                        @@ -14539,7 +14539,7 @@

                                        Definition at line 103 of file Quantize.h.

                                        105{
                                        -
                                        106 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        +
                                        106 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        107 static constexpr int32_t min_val = std::numeric_limits<uint8_t>::min();
                                        108 static constexpr int32_t max_val = std::numeric_limits<uint8_t>::max();
                                        109
                                        @@ -14654,7 +14654,7 @@

                                        Definition at line 34 of file Quantize.h.

                                        36{
                                        -
                                        37 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        +
                                        37 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        38 int min_val = std::numeric_limits<OutputT>::min();
                                        39 int max_val = std::numeric_limits<OutputT>::max();
                                        40
                                        @@ -16030,21 +16030,21 @@

                                        328 for (int c = 0; c < depth; ++c)

                                        329 {
                                        330 const int64_t output_20_ll =
                                        -
                                        331 static_cast<int64_t>(input_data[Offset(input_shape, b, y0, x0, c)]) *
                                        +
                                        331 static_cast<int64_t>(input_data[Offset(input_shape, b, y0, x0, c)]) *
                                        332 ((1 << 10) - (input_y - (1 << 10) * y0)) * ((1 << 10) - (input_x - (1 << 10) * x0));
                                        333 const int64_t output_20_lu =
                                        -
                                        334 static_cast<int64_t>(input_data[Offset(input_shape, b, y1, x0, c)]) *
                                        +
                                        334 static_cast<int64_t>(input_data[Offset(input_shape, b, y1, x0, c)]) *
                                        335 (input_y - (1 << 10) * y0) * ((1 << 10) - (input_x - (1 << 10) * x0));
                                        336 const int64_t output_20_rl =
                                        -
                                        337 static_cast<int64_t>(input_data[Offset(input_shape, b, y0, x1, c)]) *
                                        +
                                        337 static_cast<int64_t>(input_data[Offset(input_shape, b, y0, x1, c)]) *
                                        338 ((1 << 10) - (input_y - (1 << 10) * y0)) * (input_x - (1 << 10) * x0);
                                        339 const int64_t output_20_ru =
                                        -
                                        340 static_cast<int64_t>(input_data[Offset(input_shape, b, y1, x1, c)]) *
                                        +
                                        340 static_cast<int64_t>(input_data[Offset(input_shape, b, y1, x1, c)]) *
                                        341 (input_y - (1 << 10) * y0) * (input_x - (1 << 10) * x0);
                                        342 const int64_t output_20 = output_20_ll + output_20_lu + output_20_rl + output_20_ru;
                                        343 const int64_t round = (output_20 > 0) ? (1 << 19) : -(1 << 19);
                                        344 const int8_t interpolation = static_cast<int8_t>((output_20 + round) / (1 << 20));
                                        -
                                        345 output_data[Offset(output_shape, b, y, x, c)] = interpolation;
                                        +
                                        345 output_data[Offset(output_shape, b, y, x, c)] = interpolation;
                                        346 }
                                        347 }
                                        348 }
                                        @@ -16434,22 +16434,22 @@

                                        141 float *output_ptr = &output_data[output_offset];

                                        142
                                        143 // Run kernel on the 4 corners of the bilinear resize algorithm.
                                        -
                                        144 int32_t input_offset = Offset(input_shape, b, y0, x0, 0);
                                        +
                                        144 int32_t input_offset = Offset(input_shape, b, y0, x0, 0);
                                        145 float scale = (1 - (input_y - y0)) * (1 - (input_x - x0));
                                        146 const float *input_ptr = &input_data[input_offset];
                                        147 ResizeBilinearKernel(input_ptr, depth, scale, output_ptr);
                                        148
                                        -
                                        149 input_offset = Offset(input_shape, b, y0, x1, 0);
                                        +
                                        149 input_offset = Offset(input_shape, b, y0, x1, 0);
                                        150 scale = (1 - (input_y - y0)) * (input_x - x0);
                                        151 input_ptr = &input_data[input_offset];
                                        152 ResizeBilinearKernel(input_ptr, depth, scale, output_ptr);
                                        153
                                        -
                                        154 input_offset = Offset(input_shape, b, y1, x0, 0);
                                        +
                                        154 input_offset = Offset(input_shape, b, y1, x0, 0);
                                        155 scale = (input_y - y0) * (1 - (input_x - x0));
                                        156 input_ptr = &input_data[input_offset];
                                        157 ResizeBilinearKernel(input_ptr, depth, scale, output_ptr);
                                        158
                                        -
                                        159 input_offset = Offset(input_shape, b, y1, x1, 0);
                                        +
                                        159 input_offset = Offset(input_shape, b, y1, x1, 0);
                                        160 scale = (input_y - y0) * (input_x - x0);
                                        161 input_ptr = &input_data[input_offset];
                                        162 ResizeBilinearKernel(input_ptr, depth, scale, output_ptr);
                                        @@ -16583,8 +16583,8 @@

                                        192 &x1);

                                        193
                                        194 int32_t input_offset[4] = {
                                        -
                                        195 Offset(input_shape, b, y0, x0, 0), Offset(input_shape, b, y0, x1, 0),
                                        -
                                        196 Offset(input_shape, b, y1, x0, 0), Offset(input_shape, b, y1, x1, 0)};
                                        +
                                        195 Offset(input_shape, b, y0, x0, 0), Offset(input_shape, b, y0, x1, 0),
                                        +
                                        196 Offset(input_shape, b, y1, x0, 0), Offset(input_shape, b, y1, x1, 0)};
                                        197 float scale[4] = {(1 - (input_y - y0)) * (1 - (input_x - x0)),
                                        198 (1 - (input_y - y0)) * (input_x - x0),
                                        199 (input_y - y0) * (1 - (input_x - x0)), (input_y - y0) * (input_x - x0)};
                                        @@ -16771,7 +16771,7 @@

                                        42

                                        43 for (int ch = 0; ch < depth; ch++)
                                        44 {
                                        -
                                        45 const int32_t input_offset = Offset(input_shape, batch, y0, x0, ch);
                                        +
                                        45 const int32_t input_offset = Offset(input_shape, batch, y0, x0, ch);
                                        46
                                        47 float x0y0 = input_data[input_offset];
                                        48 float x1y0 = input_data[input_offset + input_x_offset];
                                        @@ -16779,7 +16779,7 @@

                                        50 float x1y1 = input_data[input_offset + input_x_offset + input_y_offset];

                                        51
                                        52 // Top left corner.
                                        -
                                        +
                                        53 const int32_t output_offset = Offset(output_shape, batch, y, x, ch);
                                        54 output_data[output_offset] = x0y0;
                                        55
                                        56 // Top right corner.
                                        @@ -17015,7 +17015,7 @@

                                        Definition at line 65 of file Round.h.

                                        67{
                                        -
                                        68 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        +
                                        68 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        69 for (int i = 0; i < flat_size; ++i)
                                        70 {
                                        71 // Note that this implementation matches that of tensorFlow tf.round
                                        @@ -17152,7 +17152,7 @@

                                        Definition at line 59 of file Elementwise.h.

                                        61{
                                        -
                                        62 const int size = MatchingFlatSize(input_shape, output_shape);
                                        +
                                        62 const int size = MatchingFlatSize(input_shape, output_shape);
                                        63 for (int i = 0; i < size; i++)
                                        64 {
                                        65 output_data[i] = 1.f / std::sqrt(input_data[i]);
                                        @@ -17230,7 +17230,7 @@

                                        Definition at line 32 of file Select.h.

                                        35{
                                        36 const int64_t flatsize =
                                        -
                                        37 MatchingFlatSize(input_condition_shape, input_x_shape, input_y_shape, output_shape);
                                        +
                                        37 MatchingFlatSize(input_condition_shape, input_x_shape, input_y_shape, output_shape);
                                        38 for (int64_t i = 0; i < flatsize; ++i)
                                        39 {
                                        40 output_data[i] = (input_condition_data[i] != 0) ? input_x_data[i] : input_y_data[i];
                                        @@ -17289,7 +17289,7 @@

                                        Definition at line 31 of file Elementwise.h.

                                        33{
                                        -
                                        34 const int size = MatchingFlatSize(input_shape, output_shape);
                                        +
                                        34 const int size = MatchingFlatSize(input_shape, output_shape);
                                        35 for (int i = 0; i < size; i++)
                                        36 {
                                        37 output_data[i] = std::sin(input_data[i]);
                                        @@ -17435,7 +17435,7 @@

                                        62 {

                                        63 const int len = stop_d - start_d;
                                        64 if (len > 0)
                                        -
                                        65 writer->WriteN(Offset(input_shape, in_b, in_h, in_w, start_d), len);
                                        +
                                        65 writer->WriteN(Offset(input_shape, in_b, in_h, in_w, start_d), len);
                                        66 }
                                        67 }
                                        68 }
                                        @@ -17601,7 +17601,7 @@

                                        Definition at line 116 of file SoftMax.h.

                                        118{
                                        119 // Validate whether if shapes of input and output are the same
                                        -
                                        120 MatchingFlatSize(input_shape, output_shape);
                                        +
                                        120 MatchingFlatSize(input_shape, output_shape);
                                        121
                                        122 const auto in_mat = MapAsMatrixWithLastDimAsRows(input_data, input_shape);
                                        123 auto out_mat = MapAsMatrixWithLastDimAsRows(output_data, output_shape);
                                        @@ -17830,7 +17830,7 @@

                                        67 {

                                        68 for (int out_w = 0; out_w < output_width; ++out_w)
                                        69 {
                                        -
                                        +
                                        70 T *out = output_data + Offset(output_shape, out_b, out_h, out_w, 0);
                                        71 if (out_h * block_shape_height + shift_h < padding_top ||
                                        72 out_h * block_shape_height + shift_h >= padding_top + input_height ||
                                        73 out_w * block_shape_width + shift_w < padding_left ||
                                        @@ -17842,7 +17842,7 @@

                                        79 else

                                        80 {
                                        81 const T *in =
                                        -
                                        82 input_data + Offset(input_shape, input_batch,
                                        +
                                        82 input_data + Offset(input_shape, input_batch,
                                        83 (out_h * block_shape_height + shift_h) - padding_top,
                                        84 (out_w * block_shape_width + shift_w) - padding_left, 0);
                                        85 memcpy(out, in, depth * sizeof(T));
                                        @@ -17932,7 +17932,7 @@

                                        49 {

                                        50 for (int out_h = 0; out_h < output_height; ++out_h)
                                        51 {
                                        -
                                        +
                                        52 T *output_ptr = output_data + Offset(output_shape, batch, out_h, 0, 0);
                                        53 for (int offset_h = 0; offset_h < params.block_size; ++offset_h)
                                        54 {
                                        55 T *dst = output_ptr;
                                        @@ -18368,7 +18368,7 @@

                                        Definition at line 101 of file Elementwise.h.

                                        103{
                                        -
                                        104 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        +
                                        104 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        105
                                        106 for (int i = 0; i < flat_size; i++)
                                        107 {
                                        @@ -18428,7 +18428,7 @@

                                        Definition at line 112 of file Elementwise.h.

                                        114{
                                        -
                                        115 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        +
                                        115 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        116
                                        117 for (int i = 0; i < flat_size; i++)
                                        118 {
                                        @@ -18851,7 +18851,7 @@

                                        324 for (int in_d = start_d; !LoopCondition(in_d, stop_d, params_copy.strides[3]);

                                        325 in_d += params_copy.strides[3])
                                        326 {
                                        -
                                        327 *out_ptr++ = input_data[Offset(input_shape, in_b, in_h, in_w, in_d)];
                                        +
                                        327 *out_ptr++ = input_data[Offset(input_shape, in_b, in_h, in_w, in_d)];
                                        328 }
                                        329 }
                                        330 }
                                        @@ -20070,10 +20070,10 @@

                                        90 (out_y < output_height))

                                        91 {
                                        92 float input_value =
                                        -
                                        93 input_data[Offset(input_shape, batch, in_y, in_x, in_channel)];
                                        +
                                        93 input_data[Offset(input_shape, batch, in_y, in_x, in_channel)];
                                        94 float filter_value =
                                        -
                                        95 filter_data[Offset(filter_shape, out_channel, filter_y, filter_x, in_channel)];
                                        -
                                        96 output_data[Offset(output_shape, batch, out_y, out_x, out_channel)] +=
                                        +
                                        95 filter_data[Offset(filter_shape, out_channel, filter_y, filter_x, in_channel)];
                                        +
                                        96 output_data[Offset(output_shape, batch, out_y, out_x, out_channel)] +=
                                        97 input_value * filter_value;
                                        98 }
                                        99 }
                                        diff --git a/namespacennfw_1_1cker_1_1optimized.html b/namespacennfw_1_1cker_1_1optimized.html index baf18f8b098..1de36046afa 100644 --- a/namespacennfw_1_1cker_1_1optimized.html +++ b/namespacennfw_1_1cker_1_1optimized.html @@ -2732,15 +2732,15 @@

                                        -

                                        Definition at line 2241 of file DepthwiseConvUint8.h.

                                        +

                                        Definition at line 2241 of file DepthwiseConvUint8.h.

                                        2247{
                                        2248 return DepthwiseConvWithRounding(params, input_shape, input_data, filter_shape, filter_data,
                                        2249 bias_shape, bias_data, output_shape, output_data, thread_start,
                                        2250 thread_end, thread_dim);
                                        2251}
                                        -
                                        void DepthwiseConvWithRounding(const DepthwiseConvParams &params, const Shape &input_shape, const uint8_t *input_data, const Shape &filter_shape, const uint8_t *filter_data, const Shape &bias_shape, const int32_t *bias_data, const Shape &output_shape, uint8_t *output_data, int thread_start, int thread_end, int thread_dim)
                                        +
                                        void DepthwiseConvWithRounding(const DepthwiseConvParams &params, const Shape &input_shape, const uint8_t *input_data, const Shape &filter_shape, const uint8_t *filter_data, const Shape &bias_shape, const int32_t *bias_data, const Shape &output_shape, uint8_t *output_data, int thread_start, int thread_end, int thread_dim)
                                        -

                                        References DepthwiseConvWithRounding(), and output_shape.

                                        +

                                        References DepthwiseConvWithRounding(), and output_shape.

                                        @@ -2899,7 +2899,7 @@

                                        -

                                        Definition at line 2155 of file DepthwiseConvUint8.h.

                                        +

                                        Definition at line 2155 of file DepthwiseConvUint8.h.

                                        2161{
                                        2162 const int depth_multiplier = params.depth_multiplier;
                                        2163 const int32_t output_activation_min = params.quantized_activation_min;
                                        @@ -2982,9 +2982,9 @@

                                        int32_t quantized_activation_max
                                        Definition Types.h:241

                                        -

                                        References nnfw::cker::DepthwiseConvParams::depth_multiplier, nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::DepthwiseConvParams::dilation_height_factor, nnfw::cker::DepthwiseConvParams::dilation_width_factor, nnfw::cker::Shape::DimensionsCount(), nnfw::cker::Shape::Dims(), nnfw::cker::Shape::FlatSize(), nnfw::cker::MatchingDim(), output_shape, nnfw::cker::DepthwiseConvParams::quantized_activation_max, nnfw::cker::DepthwiseConvParams::quantized_activation_min, and UNUSED_RELEASE.

                                        +

                                        References nnfw::cker::DepthwiseConvParams::depth_multiplier, nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::DepthwiseConvParams::dilation_height_factor, nnfw::cker::DepthwiseConvParams::dilation_width_factor, nnfw::cker::Shape::DimensionsCount(), nnfw::cker::Shape::Dims(), nnfw::cker::Shape::FlatSize(), nnfw::cker::MatchingDim(), output_shape, nnfw::cker::DepthwiseConvParams::quantized_activation_max, nnfw::cker::DepthwiseConvParams::quantized_activation_min, and UNUSED_RELEASE.

                                        -

                                        Referenced by DepthwiseConvImpl().

                                        +

                                        Referenced by DepthwiseConvImpl().

                                        @@ -3098,7 +3098,7 @@

                                        166 {
                                        167 // Each im2col row is an output pixel. Arrange the input data in this
                                        168 // row in an order we can conveniently multiply with the filter data.
                                        -
                                        169 int row_offset = Offset(row_shape, 0, batch, out_y, out_x);
                                        +
                                        169 int row_offset = Offset(row_shape, 0, batch, out_y, out_x);
                                        170 const int in_x_origin = (out_x * stride_width) - pad_width;
                                        171 const int in_y_origin = (out_y * stride_height) - pad_height;
                                        172 // Loop through all the pixels of the filter (Kh x Kw)
                                        @@ -3112,12 +3112,12 @@

                                        180 for (int filter_x = 0; filter_x < filter_width; ++filter_x)
                                        181 {
                                        182 const int in_x = in_x_origin + dilation_width_factor * filter_x;
                                        -
                                        183 int col_offset = Offset(col_shape, 0, filter_y, filter_x, 0);
                                        -
                                        184 T *dst = im2col_data + Offset(im2col_shape, 0, 0, row_offset, col_offset);
                                        +
                                        183 int col_offset = Offset(col_shape, 0, filter_y, filter_x, 0);
                                        +
                                        184 T *dst = im2col_data + Offset(im2col_shape, 0, 0, row_offset, col_offset);
                                        185 if ((in_x >= 0) && (in_x < input_width))
                                        186 {
                                        187 // Filter pixel is within the input, copy the input data.
                                        -
                                        188 T const *src = input_data + Offset(input_shape, batch, in_y, in_x, 0);
                                        +
                                        188 T const *src = input_data + Offset(input_shape, batch, in_y, in_x, 0);
                                        189 memcpy(dst, src, input_depth * sizeof(T));
                                        190 }
                                        191 else
                                        @@ -3130,8 +3130,8 @@

                                        198 else
                                        199 {
                                        200 // Filter row is outside the input, zero out the entire filter row.
                                        -
                                        201 int col_offset = Offset(col_shape, 0, filter_y, 0, 0);
                                        -
                                        202 T *dst = im2col_data + Offset(im2col_shape, 0, 0, row_offset, col_offset);
                                        +
                                        201 int col_offset = Offset(col_shape, 0, filter_y, 0, 0);
                                        +
                                        202 T *dst = im2col_data + Offset(im2col_shape, 0, 0, row_offset, col_offset);
                                        203 memset(dst, zero_byte, filter_width * input_depth * sizeof(T));
                                        204 }
                                        205 }
                                        @@ -3139,7 +3139,7 @@

                                        207 }
                                        208 }
                                        209}
                                        -
                                        int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
                                        Definition Dims.h:64
                                        +
                                        int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
                                        Definition Dims.h:64
                                        Definition Shape.h:28
                                        PaddingValues padding_values
                                        Definition Types.h:137
                                        @@ -3456,7 +3456,7 @@

                                        57 const int single_row_num = std::min(kwidth - w_offset, in_width - iw_start) * in_depth;
                                        58 const int output_row_offset = (buffer_id * single_buffer_length);
                                        59 int out_offset = output_row_offset + (h_offset * kwidth + w_offset) * in_depth;
                                        -
                                        60 int in_offset = Offset(input_shape, b, ih_start, iw_start, 0);
                                        +
                                        60 int in_offset = Offset(input_shape, b, ih_start, iw_start, 0);
                                        61
                                        62 // Express all of the calculations as padding around the input patch.
                                        63 const int top_padding = h_offset;
                                        diff --git a/namespacennfw_1_1cker_1_1optimized_1_1depthwise__conv.html b/namespacennfw_1_1cker_1_1optimized_1_1depthwise__conv.html index fd5c04eabcb..c7d09605f40 100644 --- a/namespacennfw_1_1cker_1_1optimized_1_1depthwise__conv.html +++ b/namespacennfw_1_1cker_1_1optimized_1_1depthwise__conv.html @@ -208,7 +208,7 @@

                                        -

                                        Definition at line 1814 of file DepthwiseConvUint8.h.

                                        +

                                        Definition at line 1814 of file DepthwiseConvUint8.h.

                                        1820{
                                        1821 (void)bias_shape;
                                        1822 const int stride_width = params.stride_width;
                                        @@ -271,36 +271,36 @@

                                        1879

                                        1880 // Start with the fastest kernels: AllowStrided=false, fixed input depth.
                                        1881
                                        -
                                        - - - - - - - - - + + + + + + + + + +
                                        1892
                                        1893 // Next come the strided kernels: AllowStrided=true, fixed input depth.
                                        1894 // They are a bit less efficient, but allow stride!=1.
                                        1895
                                        - - - - - - - - - + + + + + + + + +
                                        1905
                                        1906 // Finally, the kernels allowing a variable input depth,
                                        1907 // these are the least efficient but most general kernels.
                                        1908
                                        - - - + + +
                                        1912#endif // USE_NEON
                                        1913
                                        1914 // No matching fast kernel found, use slow fallback.
                                        @@ -544,11 +544,11 @@

                                        int32_t Dims(int i) const
                                        Definition Shape.h:94
                                        #define UNUSED_RELEASE(a)
                                        Definition Shape.h:26
                                        int32_t RoundingDivideByPOT(int32_t x, int exponent)
                                        -
                                        void QuantizedDepthwiseConvAccumRowGeneric(int stride, int dilation_factor, int input_depth, int input_width, const uint8_t *input_data, int16_t input_offset, int pad_width, int depth_multiplier, int filter_width, const uint8_t *filter_data, int16_t filter_offset, int out_x_buffer_start, int out_x_buffer_end, int output_depth, int32_t *acc_buffer)
                                        +
                                        void QuantizedDepthwiseConvAccumRowGeneric(int stride, int dilation_factor, int input_depth, int input_width, const uint8_t *input_data, int16_t input_offset, int pad_width, int depth_multiplier, int filter_width, const uint8_t *filter_data, int16_t filter_offset, int out_x_buffer_start, int out_x_buffer_end, int output_depth, int32_t *acc_buffer)
                                        int MatchingDim(const Shape &shape1, int index1, const Shape &shape2, int index2)
                                        Definition Shape.h:222
                                        int FlatSizeSkipDim(const Shape &shape, int skip_dim)
                                        Definition Shape.h:257
                                        int32_t MultiplyByQuantizedMultiplier(int32_t x, int32_t quantized_multiplier, int shift)
                                        Definition Utils.h:93
                                        -
                                        #define TFMINI_USE_DEPTHWISECONV_KERNEL(ALLOW_STRIDED, FIXED_INPUT_DEPTH, FIXED_DEPTH_MULTIPLIER)
                                        +
                                        #define TFMINI_USE_DEPTHWISECONV_KERNEL(ALLOW_STRIDED, FIXED_INPUT_DEPTH, FIXED_DEPTH_MULTIPLIER)
                                        @@ -565,9 +565,9 @@

                                        int16_t height
                                        Definition Types.h:69
                                        -

                                        References nnfw::cker::DepthwiseConvParams::depth_multiplier, DepthwiseConvInitAccBuffer(), nnfw::cker::DepthwiseConvParams::dilation_height_factor, nnfw::cker::DepthwiseConvParams::dilation_width_factor, nnfw::cker::Shape::Dims(), nnfw::cker::FlatSizeSkipDim(), nnfw::cker::PaddingValues::height, nnfw::cker::DepthwiseConvParams::input_offset, nnfw::cker::MatchingDim(), nnfw::cker::MultiplyByQuantizedMultiplier(), nnfw::cker::DepthwiseConvParams::output_multiplier, nnfw::cker::DepthwiseConvParams::output_offset, output_shape, nnfw::cker::DepthwiseConvParams::output_shift, nnfw::cker::DepthwiseConvParams::padding_values, nnfw::cker::DepthwiseConvParams::quantized_activation_max, nnfw::cker::DepthwiseConvParams::quantized_activation_min, QuantizedDepthwiseConvAccumRowGeneric(), nnfw::cker::DepthwiseConvParams::stride_height, nnfw::cker::DepthwiseConvParams::stride_width, TFMINI_USE_DEPTHWISECONV_KERNEL, UNUSED_RELEASE, nnfw::cker::DepthwiseConvParams::weights_offset, and nnfw::cker::PaddingValues::width.

                                        +

                                        References nnfw::cker::DepthwiseConvParams::depth_multiplier, DepthwiseConvInitAccBuffer(), nnfw::cker::DepthwiseConvParams::dilation_height_factor, nnfw::cker::DepthwiseConvParams::dilation_width_factor, nnfw::cker::Shape::Dims(), nnfw::cker::FlatSizeSkipDim(), nnfw::cker::PaddingValues::height, nnfw::cker::DepthwiseConvParams::input_offset, nnfw::cker::MatchingDim(), nnfw::cker::MultiplyByQuantizedMultiplier(), nnfw::cker::DepthwiseConvParams::output_multiplier, nnfw::cker::DepthwiseConvParams::output_offset, output_shape, nnfw::cker::DepthwiseConvParams::output_shift, nnfw::cker::DepthwiseConvParams::padding_values, nnfw::cker::DepthwiseConvParams::quantized_activation_max, nnfw::cker::DepthwiseConvParams::quantized_activation_min, QuantizedDepthwiseConvAccumRowGeneric(), nnfw::cker::DepthwiseConvParams::stride_height, nnfw::cker::DepthwiseConvParams::stride_width, TFMINI_USE_DEPTHWISECONV_KERNEL, UNUSED_RELEASE, nnfw::cker::DepthwiseConvParams::weights_offset, and nnfw::cker::PaddingValues::width.

                                        -

                                        Referenced by nnfw::cker::optimized::DepthwiseConvWithRounding().

                                        +

                                        Referenced by nnfw::cker::optimized::DepthwiseConvWithRounding().

                                        @@ -617,7 +617,7 @@

                                        -

                                        Definition at line 1724 of file DepthwiseConvUint8.h.

                                        +

                                        Definition at line 1724 of file DepthwiseConvUint8.h.

                                        1726{
                                        1727 int i = 0;
                                        1728#ifdef USE_NEON
                                        @@ -707,7 +707,7 @@

                                        1812}

                                        -

                                        Referenced by DepthwiseConvGeneral().

                                        +

                                        Referenced by DepthwiseConvGeneral().

                                        @@ -817,7 +817,7 @@

                                        -

                                        Definition at line 1612 of file DepthwiseConvUint8.h.

                                        +

                                        Definition at line 1612 of file DepthwiseConvUint8.h.

                                        1618{
                                        1619 // Sanity check parameters. This is important in particular to ensure
                                        1620 // that we keep the number of template instantiations minimal, so we don't
                                        @@ -998,7 +998,7 @@

                                        -

                                        Definition at line 1684 of file DepthwiseConvUint8.h.

                                        +

                                        Definition at line 1684 of file DepthwiseConvUint8.h.

                                        1691{
                                        1692 const uint8_t *filter_base_ptr = filter_data;
                                        1693 for (int filter_x = 0; filter_x < filter_width; ++filter_x)
                                        @@ -1034,7 +1034,7 @@

                                        References m.

                                        -

                                        Referenced by DepthwiseConvGeneral().

                                        +

                                        Referenced by DepthwiseConvGeneral().

                                        diff --git a/namespacennfw_1_1cker_1_1reference.html b/namespacennfw_1_1cker_1_1reference.html index 9993448f1c4..8b115a44e16 100644 --- a/namespacennfw_1_1cker_1_1reference.html +++ b/namespacennfw_1_1cker_1_1reference.html @@ -640,7 +640,7 @@

                                        207 {
                                        209 {
                                        -
                                        210 output_data[Offset(extended_output_shape, b, y, x, c)] =
                                        +
                                        210 output_data[Offset(extended_output_shape, b, y, x, c)] =
                                        211 fn(input1_data[SubscriptToIndex(desc1, b, y, x, c)],
                                        212 input2_data[SubscriptToIndex(desc2, b, y, x, c)]);
                                        213 }
                                        @@ -652,7 +652,7 @@

                                        int SubscriptToIndex(const NdArrayDesc< 4 > &desc, int i0, int i1, int i2, int i3)
                                        Definition NDArray.h:54
                                        NdArrayDesc< 4 > desc1
                                        NdArrayDesc< 4 > desc2
                                        -
                                        int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
                                        Definition Dims.h:64
                                        +
                                        int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
                                        Definition Dims.h:64

                                        References desc1, desc2, nnfw::cker::Shape::Dims(), nnfw::cker::NdArrayDescsForElementwiseBroadcast(), nnfw::cker::Offset(), output_shape, and nnfw::cker::SubscriptToIndex().

                                        @@ -746,7 +746,7 @@

                                        178 {
                                        180 {
                                        -
                                        181 output_data[Offset(extended_output_shape, b, y, x, c)] =
                                        +
                                        181 output_data[Offset(extended_output_shape, b, y, x, c)] =
                                        182 ActivationFunctionWithMinMax(fn(input1_data[SubscriptToIndex(desc1, b, y, x, c)],
                                        183 input2_data[SubscriptToIndex(desc2, b, y, x, c)]),
                                        @@ -860,7 +860,7 @@

                                        107 {
                                        109 {
                                        -
                                        110 output_data[Offset(extended_output_shape, b, y, x, c)] = ActivationFunctionWithMinMax<T>(
                                        +
                                        110 output_data[Offset(extended_output_shape, b, y, x, c)] = ActivationFunctionWithMinMax<T>(
                                        111 fn(params, input1_data[SubscriptToIndex(desc1, b, y, x, c)],
                                        112 input2_data[SubscriptToIndex(desc2, b, y, x, c)]),
                                        @@ -976,7 +976,7 @@

                                        149 {
                                        151 {
                                        -
                                        152 output_data[Offset(extended_output_shape, b, y, x, c)] = ActivationFunctionWithMinMax<T>(
                                        +
                                        152 output_data[Offset(extended_output_shape, b, y, x, c)] = ActivationFunctionWithMinMax<T>(
                                        153 fn(input1_data[SubscriptToIndex(desc1, b, y, x, c)],
                                        154 input2_data[SubscriptToIndex(desc2, b, y, x, c)]),
                                        @@ -1152,9 +1152,9 @@

                                        262
                                        263 for (int in_channel = 0; in_channel < input_depth; ++in_channel)
                                        264 {
                                        -
                                        265 const T input_val = input_data[Offset(input_shape, batch, in_y, in_x, in_channel)];
                                        +
                                        265 const T input_val = input_data[Offset(input_shape, batch, in_y, in_x, in_channel)];
                                        266 const T filter_val =
                                        -
                                        267 filter_data[Offset(filter_shape, out_channel, filter_y, filter_x, in_channel)];
                                        +
                                        267 filter_data[Offset(filter_shape, out_channel, filter_y, filter_x, in_channel)];
                                        268 if (is_asymmetric)
                                        269 {
                                        270 const int32_t filter_offset = -filter_zeropoint[out_channel];
                                        @@ -1194,7 +1194,7 @@

                                        304 acc += output_offset;
                                        305 acc = std::max(acc, output_activation_min);
                                        306 acc = std::min(acc, output_activation_max);
                                        -
                                        307 output_data[Offset(output_shape, batch, out_y, out_x, out_channel)] = static_cast<T>(acc);
                                        +
                                        307 output_data[Offset(output_shape, batch, out_y, out_x, out_channel)] = static_cast<T>(acc);
                                        308 }
                                        309 }
                                        310 }
                                        @@ -1345,8 +1345,8 @@

                                        81 // use zero as a default value.
                                        82 if ((in_x >= 0) && (in_x < input_width) && (in_y >= 0) && (in_y < input_height))
                                        83 {
                                        -
                                        84 const int in_offset = Offset(input_shape, batch, in_y, in_x, 0);
                                        -
                                        85 const int filter_offset = Offset(filter_shape, out_channel, filter_y, filter_x, 0);
                                        +
                                        84 const int in_offset = Offset(input_shape, batch, in_y, in_x, 0);
                                        +
                                        85 const int filter_offset = Offset(filter_shape, out_channel, filter_y, filter_x, 0);
                                        86 for (int in_channel = 0; in_channel < input_depth; ++in_channel)
                                        87 {
                                        88 float input_value = input_data[in_offset + in_channel];
                                        @@ -1361,7 +1361,7 @@

                                        97 {
                                        98 bias_value = bias_data[out_channel];
                                        99 }
                                        -
                                        100 output_data[Offset(output_shape, batch, out_y, out_x, out_channel)] =
                                        +
                                        100 output_data[Offset(output_shape, batch, out_y, out_x, out_channel)] =
                                        101 ActivationFunctionWithMinMax(total + bias_value, output_activation_min,
                                        102 output_activation_max);
                                        103 }
                                        @@ -1509,8 +1509,8 @@

                                        163 // use zero as a default value.
                                        164 if ((in_x >= 0) && (in_x < input_width) && (in_y >= 0) && (in_y < input_height))
                                        165 {
                                        -
                                        166 const int in_base = Offset(input_shape, batch, in_y, in_x, 0);
                                        -
                                        167 const int filter_base = Offset(filter_shape, out_channel, filter_y, filter_x, 0);
                                        +
                                        166 const int in_base = Offset(input_shape, batch, in_y, in_x, 0);
                                        +
                                        167 const int filter_base = Offset(filter_shape, out_channel, filter_y, filter_x, 0);
                                        168 for (int in_channel = 0; in_channel < input_depth; in_channel++)
                                        169 {
                                        170 int32_t input_val = input_data[in_channel + in_base];
                                        @@ -1528,7 +1528,7 @@

                                        182 acc += output_offset;
                                        183 acc = std::max(acc, output_activation_min);
                                        184 acc = std::min(acc, output_activation_max);
                                        -
                                        185 output_data[Offset(output_shape, batch, out_y, out_x, out_channel)] =
                                        +
                                        185 output_data[Offset(output_shape, batch, out_y, out_x, out_channel)] =
                                        186 static_cast<uint8_t>(acc);
                                        187 }
                                        188 }
                                        @@ -1692,10 +1692,10 @@

                                        374 // use zero as a default value.
                                        375 if ((in_x >= 0) && (in_x < input_width) && (in_y >= 0) && (in_y < input_height))
                                        376 {
                                        -
                                        377 int32_t input_val = input_data[Offset(input_shape, batch, in_y, in_x,
                                        +
                                        377 int32_t input_val = input_data[Offset(input_shape, batch, in_y, in_x,
                                        378 in_channel + group * filter_input_depth)];
                                        379 int32_t filter_val =
                                        -
                                        380 filter_data[Offset(filter_shape, out_channel, filter_y, filter_x, in_channel)];
                                        +
                                        380 filter_data[Offset(filter_shape, out_channel, filter_y, filter_x, in_channel)];
                                        381 acc += filter_val * (input_val - input_offset[batch]);
                                        382 }
                                        383 }
                                        @@ -1706,7 +1706,7 @@

                                        388 {
                                        389 acc_float += bias_data[out_channel];
                                        390 }
                                        -
                                        391 output_data[Offset(output_shape, batch, out_y, out_x, out_channel)] =
                                        +
                                        391 output_data[Offset(output_shape, batch, out_y, out_x, out_channel)] =
                                        392 ActivationFunctionWithMinMax(acc_float, output_activation_min, output_activation_max);
                                        393 }
                                        394 }
                                        @@ -1984,7 +1984,7 @@

                                        77 for (o[0] = 0; o[0] < out_sizes[0]; o[0]++)
                                        78 {
                                        79 i[extended_perm[0]] = o[0];
                                        -
                                        80 output_data[Offset(output_shape, o)] = input_data[Offset(input_shape, i)];
                                        +
                                        80 output_data[Offset(output_shape, o)] = input_data[Offset(input_shape, i)];
                                        81 }
                                        82 }
                                        83 }
                                        diff --git a/namespacennfw_1_1cker_1_1reference__integer__ops.html b/namespacennfw_1_1cker_1_1reference__integer__ops.html index 2e8eeb2c370..e5d0ca4f266 100644 --- a/namespacennfw_1_1cker_1_1reference__integer__ops.html +++ b/namespacennfw_1_1cker_1_1reference__integer__ops.html @@ -255,9 +255,9 @@

                                        93 if (is_point_inside_image)
                                        94 {
                                        95 int32_t input_val =
                                        -
                                        96 input_data[Offset(input_shape, batch, in_y, in_x, in_channel)];
                                        +
                                        96 input_data[Offset(input_shape, batch, in_y, in_x, in_channel)];
                                        97 int32_t filter_val =
                                        -
                                        98 filter_data[Offset(filter_shape, 0, filter_y, filter_x, output_channel)];
                                        +
                                        98 filter_data[Offset(filter_shape, 0, filter_y, filter_x, output_channel)];
                                        99 acc += filter_val * (input_val - input_offset[batch]);
                                        100 }
                                        101 }
                                        @@ -268,7 +268,7 @@

                                        106 {
                                        107 acc_float += bias_data[output_channel];
                                        108 }
                                        -
                                        109 output_data[Offset(output_shape, batch, out_y, out_x, output_channel)] =
                                        +
                                        109 output_data[Offset(output_shape, batch, out_y, out_x, output_channel)] =
                                        110 ActivationFunctionWithMinMax(acc_float, output_activation_min, output_activation_max);
                                        111 }
                                        112 }
                                        @@ -278,7 +278,7 @@

                                        116}
                                        const luci_interpreter::RuntimeShape output_shape
                                        -
                                        int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
                                        Definition Dims.h:64
                                        +
                                        int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
                                        Definition Dims.h:64
                                        int32_t DimensionsCount() const
                                        Definition Shape.h:93
                                        int32_t Dims(int i) const
                                        Definition Shape.h:94
                                        int FlatSize() const
                                        Definition Shape.h:183
                                        @@ -397,7 +397,7 @@

                                        -

                                        Definition at line 31 of file DepthwiseConvUInt8.h.

                                        +

                                        Definition at line 31 of file DepthwiseConvUInt8.h.

                                        38{
                                        39 // Get parameters.
                                        40 // TODO(b/141565753): Re-introduce ScopedProfilingLabel on Micro.
                                        @@ -459,9 +459,9 @@

                                        96 if (is_point_inside_image)

                                        97 {
                                        98 uint8_t input_val =
                                        -
                                        99 input_data[Offset(input_shape, batch, in_y, in_x, in_channel)];
                                        +
                                        99 input_data[Offset(input_shape, batch, in_y, in_x, in_channel)];
                                        100 uint8_t filter_val =
                                        -
                                        101 filter_data[Offset(filter_shape, 0, filter_y, filter_x, output_channel)];
                                        +
                                        101 filter_data[Offset(filter_shape, 0, filter_y, filter_x, output_channel)];
                                        102
                                        103 // { for per-channel
                                        104 // NOTE: The following comment is copied from tflite int8 implementation
                                        @@ -499,7 +499,7 @@

                                        136 acc = std::max(acc, output_activation_min);
                                        137 acc = std::min(acc, output_activation_max);
                                        138 // For q8u per-channel, int8_t -> uint8_t
                                        -
                                        139 output_data[Offset(output_shape, batch, out_y, out_x, output_channel)] =
                                        +
                                        139 output_data[Offset(output_shape, batch, out_y, out_x, output_channel)] =
                                        140 static_cast<uint8_t>(acc);
                                        141 }
                                        142 }
                                        diff --git a/namespacennfw_1_1cker_1_1train.html b/namespacennfw_1_1cker_1_1train.html index bbbc4df695b..abe17f80d5f 100644 --- a/namespacennfw_1_1cker_1_1train.html +++ b/namespacennfw_1_1cker_1_1train.html @@ -1994,7 +1994,7 @@

                                        33{
                                        34 // TODO Support 4dim softmax gradient
                                        -
                                        36 MatchingFlatSize(output_shape, incoming_shape, grad_shape);
                                        +
                                        36 MatchingFlatSize(output_shape, incoming_shape, grad_shape);
                                        37
                                        38 const int batches = incoming_shape.Dims(0);
                                        39 const int width = incoming_shape.Dims(1);
                                        @@ -2023,7 +2023,7 @@

                                        62 }
                                        63 }
                                        64}
                                        -
                                        int MatchingFlatSize(const Dims< N > &dims, const Dims< N > &check_dims_0)
                                        Definition Dims.h:108
                                        +
                                        int MatchingFlatSize(const Dims< N > &dims, const Dims< N > &check_dims_0)
                                        Definition Dims.h:108

                                        References nnfw::cker::Shape::DimensionsCount(), nnfw::cker::Shape::Dims(), nnfw::cker::MatchingFlatSize(), and output_shape.

                                        diff --git a/namespacennfw_1_1misc.html b/namespacennfw_1_1misc.html index 51925cdca39..872398f0879 100644 --- a/namespacennfw_1_1misc.html +++ b/namespacennfw_1_1misc.html @@ -199,7 +199,7 @@

                                        77 return ret;
                                        78}
                                        -

                                        Referenced by nnfw_session::get_config(), and onert::compiler::CompilerOptions::verboseOptions().

                                        +

                                        Referenced by nnfw_session::get_config(), and onert::compiler::CompilerOptions::verboseOptions().

                                        @@ -317,7 +317,7 @@

                                        55 return elems;
                                        56}
                                        -

                                        Referenced by onert::compiler::CompilerOptions::fromGlobalConfig(), nnfw_session::load_model_from_nnpackage(), nnfw_session::set_available_backends(), and onert::compiler::ManualSchedulerOptions::setBackendMap().

                                        +

                                        Referenced by onert::compiler::CompilerOptions::fromGlobalConfig(), nnfw_session::load_model_from_nnpackage(), nnfw_session::set_available_backends(), and onert::compiler::ManualSchedulerOptions::setBackendMap().

                                        diff --git a/namespacennfw_1_1ruy.html b/namespacennfw_1_1ruy.html index d4655cb88de..7bad18f84aa 100644 --- a/namespacennfw_1_1ruy.html +++ b/namespacennfw_1_1ruy.html @@ -611,7 +611,7 @@

                                        163 {
                                        164 // Each im2col row is an output pixel. Arrange the input data in this
                                        165 // row in an order we can conveniently multiply with the filter data.
                                        -
                                        166 int row_offset = Offset(row_shape, 0, batch, out_y, out_x);
                                        +
                                        166 int row_offset = Offset(row_shape, 0, batch, out_y, out_x);
                                        167 const int in_x_origin = (out_x * stride_width) - pad_width;
                                        168 const int in_y_origin = (out_y * stride_height) - pad_height;
                                        169 // Loop through all the pixels of the filter (Kh x Kw)
                                        @@ -625,12 +625,12 @@

                                        177 for (int filter_x = 0; filter_x < filter_width; ++filter_x)
                                        178 {
                                        179 const int in_x = in_x_origin + dilation_width_factor * filter_x;
                                        -
                                        180 int col_offset = Offset(col_shape, 0, filter_y, filter_x, 0);
                                        -
                                        181 T *dst = im2col_data + Offset(im2col_shape, 0, 0, row_offset, col_offset);
                                        +
                                        180 int col_offset = Offset(col_shape, 0, filter_y, filter_x, 0);
                                        +
                                        181 T *dst = im2col_data + Offset(im2col_shape, 0, 0, row_offset, col_offset);
                                        182 if ((in_x >= 0) && (in_x < input_width))
                                        183 {
                                        184 // Filter pixel is within the input, copy the input data.
                                        -
                                        185 T const *src = input_data + Offset(input_shape, batch, in_y, in_x, 0);
                                        +
                                        185 T const *src = input_data + Offset(input_shape, batch, in_y, in_x, 0);
                                        186 memcpy(dst, src, input_depth * sizeof(T));
                                        187 }
                                        188 else
                                        @@ -643,8 +643,8 @@

                                        195 else
                                        196 {
                                        197 // Filter row is outside the input, zero out the entire filter row.
                                        -
                                        198 int col_offset = Offset(col_shape, 0, filter_y, 0, 0);
                                        -
                                        199 T *dst = im2col_data + Offset(im2col_shape, 0, 0, row_offset, col_offset);
                                        +
                                        198 int col_offset = Offset(col_shape, 0, filter_y, 0, 0);
                                        +
                                        199 T *dst = im2col_data + Offset(im2col_shape, 0, 0, row_offset, col_offset);
                                        200 memset(dst, zero_byte, filter_width * input_depth * sizeof(T));
                                        201 }
                                        202 }
                                        @@ -653,7 +653,7 @@

                                        205 }
                                        206}
                                        const luci_interpreter::RuntimeShape output_shape
                                        -
                                        int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
                                        Definition Dims.h:64
                                        +
                                        int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
                                        Definition Dims.h:64
                                        Definition Shape.h:28
                                        PaddingValues padding_values
                                        Definition Types.h:59
                                        @@ -891,7 +891,7 @@

                                        54 const int single_row_num = std::min(kwidth - w_offset, in_width - iw_start) * in_depth;
                                        55 const int output_row_offset = (buffer_id * single_buffer_length);
                                        56 int out_offset = output_row_offset + (h_offset * kwidth + w_offset) * in_depth;
                                        -
                                        57 int in_offset = Offset(input_shape, b, ih_start, iw_start, 0);
                                        +
                                        57 int in_offset = Offset(input_shape, b, ih_start, iw_start, 0);
                                        58
                                        59 // Express all of the calculations as padding around the input patch.
                                        60 const int top_padding = h_offset;
                                        @@ -1713,7 +1713,7 @@

                                        Definition at line 253 of file Shape.h.

                                        254{
                                        -
                                        255 return Offset(shape, index[0], index[1], index[2], index[3]);
                                        +
                                        255 return Offset(shape, index[0], index[1], index[2], index[3]);
                                        256}

                                        References Offset().

                                        diff --git a/namespacennkit.html b/namespacennkit.html index 9d95d58dcb8..22cfcb11b18 100644 --- a/namespacennkit.html +++ b/namespacennkit.html @@ -147,7 +147,7 @@

                                        57 }
                                        58
                                        59 void *handle;
                                        -
                                        +
                                        60 BackendPlugin::Entry entry;
                                        61
                                        62 // NOTE Some backend (such as tflite) needs multithreading support (std::thread).
                                        63 //
                                        @@ -164,7 +164,7 @@

                                        74 }
                                        75
                                        -
                                        77 entry = reinterpret_cast<BackendPlugin::Entry>(dlsym(handle, "make_backend"));
                                        +
                                        77 entry = reinterpret_cast<BackendPlugin::Entry>(dlsym(handle, "make_backend"));
                                        78 if ((error = dlerror()) != nullptr)
                                        79 {
                                        80 dlclose(handle);
                                        @@ -172,12 +172,12 @@

                                        82 exit(1);
                                        83 }
                                        84
                                        -
                                        +
                                        85 return std::make_unique<BackendPlugin>(handle, entry);
                                        86}
                                        -
                                        int entry(const int argc, char **argv)
                                        Definition Driver.cpp:53
                                        +
                                        int entry(const int argc, char **argv)
                                        Definition Driver.cpp:53
                                        Severity error(void)
                                        Definition Severity.h:76
                                        -

                                        References entry().

                                        +

                                        References entry().

                                        Referenced by main().

                                        diff --git a/namespacennkit_1_1support_1_1tftestinfo.html b/namespacennkit_1_1support_1_1tftestinfo.html index 01d2fd87692..4f5d27d7e6e 100644 --- a/namespacennkit_1_1support_1_1tftestinfo.html +++ b/namespacennkit_1_1support_1_1tftestinfo.html @@ -199,7 +199,7 @@

                                        References parse_line().

                                        -

                                        Referenced by nnkit::support::moco::tf::Backend::Backend(), nnkit::support::tf::Backend::Backend(), and main().

                                        +

                                        Referenced by nnkit::support::moco::tf::Backend::Backend(), nnkit::support::tf::Backend::Backend(), and main().

                                        diff --git a/namespaceonert_1_1backend_1_1cl__common.html b/namespaceonert_1_1backend_1_1cl__common.html index 31eb816f0fe..b6465a9480a 100644 --- a/namespaceonert_1_1backend_1_1cl__common.html +++ b/namespaceonert_1_1backend_1_1cl__common.html @@ -249,10 +249,10 @@

                                        55 LifetimeMap lifetime_map;
                                        56 for (size_t i = 0; i < lifetime_seq.size(); i++)
                                        57 {
                                        -
                                        58 auto &entry = lifetime_seq[i];
                                        -
                                        59 if (entry.first != UsesType::FIRST)
                                        +
                                        58 auto &entry = lifetime_seq[i];
                                        +
                                        59 if (entry.first != UsesType::FIRST)
                                        60 continue;
                                        -
                                        61 auto root_ind = find_root(entry.second);
                                        +
                                        61 auto root_ind = find_root(entry.second);
                                        62 if (first_use_check[root_ind])
                                        63 continue;
                                        64 first_use_check[root_ind] = true;
                                        @@ -261,10 +261,10 @@

                                        67
                                        68 for (int i = lifetime_seq.size() - 1; i >= 0; i--)
                                        69 {
                                        -
                                        70 auto &entry = lifetime_seq[i];
                                        -
                                        71 if (entry.first != UsesType::LAST)
                                        +
                                        70 auto &entry = lifetime_seq[i];
                                        +
                                        71 if (entry.first != UsesType::LAST)
                                        72 continue;
                                        -
                                        73 auto root_ind = find_root(entry.second);
                                        +
                                        73 auto root_ind = find_root(entry.second);
                                        74 if (last_use_check[root_ind])
                                        75 continue;
                                        76 last_use_check[root_ind] = true;
                                        @@ -275,9 +275,9 @@

                                        81}
                                        bool valid() const
                                        Check whether the value is valid or not.
                                        Definition Index.h:127
                                        -
                                        int entry(const int argc, char **argv)
                                        Definition Driver.cpp:53
                                        +
                                        int entry(const int argc, char **argv)
                                        Definition Driver.cpp:53
                                        -

                                        References entry(), FIRST, LAST, and onert::util::Index< T, DummyTag >::valid().

                                        +

                                        References entry(), FIRST, LAST, and onert::util::Index< T, DummyTag >::valid().

                                        Referenced by onert::backend::acl_common::AclTensorBuilder< T_ITensor, T_Tensor, T_SubTensor >::allocate(), and onert::backend::gpu_cl::TensorBuilder::allocate().

                                        diff --git a/namespaceonert_1_1circle__loader.html b/namespaceonert_1_1circle__loader.html index f45ac63aa0c..ca9b96f8c39 100644 --- a/namespaceonert_1_1circle__loader.html +++ b/namespaceonert_1_1circle__loader.html @@ -127,7 +127,7 @@

                                        227 return model;
                                        228}
                                        -

                                        Referenced by nnfw_session::load_circle_from_buffer().

                                        +

                                        Referenced by nnfw_session::load_circle_from_buffer().

                                        diff --git a/namespaceonert_1_1ir.html b/namespaceonert_1_1ir.html index 79375d05b40..48405e22eb9 100644 --- a/namespaceonert_1_1ir.html +++ b/namespaceonert_1_1ir.html @@ -983,7 +983,7 @@

                                        References onert::ir::IOperation::accept().

                                        -

                                        Referenced by onert::ir::Operations::Operations(), and onert::ir::train::TrainableGraph::TrainableGraph().

                                        +

                                        Referenced by onert::ir::Operations::Operations(), and onert::ir::train::TrainableGraph::TrainableGraph().

                                        @@ -1818,7 +1818,7 @@

                                        43 return map.at(str);
                                        44}
                                        -

                                        Referenced by nnfw_session::set_op_backend().

                                        +

                                        Referenced by nnfw_session::set_op_backend().

                                        diff --git a/namespaceonert_1_1loader.html b/namespaceonert_1_1loader.html index 33864ef8b35..b423b26d8f1 100644 --- a/namespaceonert_1_1loader.html +++ b/namespaceonert_1_1loader.html @@ -90,7 +90,8 @@
                                        onert::loader Namespace Reference
                                        @@ -99,7 +100,111 @@ Data Structures

                                        class  ILoader   + + + + +

                                        +Functions

                                        std::unique_ptr< ir::ModelloadModel (const std::string &filename, const std::string &type)
                                         Create custom loader and load model from file.
                                         
                                        +

                                        Function Documentation

                                        + +

                                        ◆ loadModel()

                                        + +
                                        +
                                        + + + + + + + + + + + + + + + + + + +
                                        std::unique_ptr< ir::Model > onert::loader::loadModel (const std::string & filename,
                                        const std::string & type 
                                        )
                                        +
                                        + +

                                        Create custom loader and load model from file.

                                        +
                                        Parameters
                                        + + + +
                                        [in]filenameFile path to load model from
                                        [in]typeType of model to load
                                        +
                                        +
                                        +
                                        Returns
                                        Loaded model.
                                        +
                                        Note
                                        Throw exception if failed to load model
                                        + +

                                        Definition at line 28 of file ModelLoader.cc.

                                        +
                                        29{
                                        +
                                        30 // Custom loader library name should be lib<type>_loader.so
                                        +
                                        31 std::string libname = "lib" + type + "_loader.so";
                                        +
                                        32
                                        +
                                        33 // Open custom loader library
                                        +
                                        34 void *handle = dlopen(libname.c_str(), RTLD_LAZY);
                                        +
                                        35 if (!handle)
                                        +
                                        36 throw std::runtime_error("Failed to open " + type + " loader");
                                        +
                                        37
                                        +
                                        38 // Get custom loader create function
                                        +
                                        39 using create_func_t = ILoader *(*)();
                                        +
                                        40 auto create_fn = reinterpret_cast<create_func_t>(dlsym(handle, "onert_loader_create"));
                                        +
                                        41 if (!create_fn)
                                        +
                                        42 {
                                        +
                                        43 dlclose(handle);
                                        +
                                        44 throw std::runtime_error("Failed to find loader create function");
                                        +
                                        45 }
                                        +
                                        46
                                        +
                                        47 // Get custom loader destroy function
                                        +
                                        48 using destroy_func_t = void (*)(ILoader *);
                                        +
                                        49 auto destroy_fn = reinterpret_cast<destroy_func_t>(dlsym(handle, "onert_loader_destroy"));
                                        +
                                        50 if (!destroy_fn)
                                        +
                                        51 {
                                        +
                                        52 dlclose(handle);
                                        +
                                        53 throw std::runtime_error("Failed to find loader destroy function");
                                        +
                                        54 }
                                        +
                                        55
                                        +
                                        56 // Create custom loader
                                        +
                                        57 auto loader = create_fn();
                                        +
                                        58 if (!loader)
                                        +
                                        59 {
                                        +
                                        60 dlclose(handle);
                                        +
                                        61 throw std::runtime_error("Failed to find loader create function");
                                        +
                                        62 }
                                        +
                                        63
                                        +
                                        64 // Load model
                                        +
                                        65 auto model = loader->loadFromFile(filename);
                                        +
                                        66
                                        +
                                        67 // Destroy custom loader
                                        +
                                        68 destroy_fn(loader);
                                        +
                                        69
                                        +
                                        70 // Close custom loader library
                                        +
                                        71 //
                                        +
                                        72 // NOTE:
                                        +
                                        73 // It assumes that custom loader will not be used frequently on runtime session.
                                        +
                                        74 // If custom loader is used frequently, it should not close custom loader library and
                                        +
                                        75 // save handler to reuse it.
                                        +
                                        76 dlclose(handle);
                                        +
                                        77
                                        +
                                        78 if (model)
                                        +
                                        79 return model;
                                        +
                                        80
                                        +
                                        81 throw std::runtime_error("Failed to load model " + filename);
                                        +
                                        82}
                                        + + +
                                        +
                                        +
                                        diff --git a/namespaceonert_1_1loader.js b/namespaceonert_1_1loader.js index f4869301ac2..8d57063fa90 100644 --- a/namespaceonert_1_1loader.js +++ b/namespaceonert_1_1loader.js @@ -1,4 +1,5 @@ var namespaceonert_1_1loader = [ - [ "ILoader", "classonert_1_1loader_1_1_i_loader.html", "classonert_1_1loader_1_1_i_loader" ] + [ "ILoader", "classonert_1_1loader_1_1_i_loader.html", "classonert_1_1loader_1_1_i_loader" ], + [ "loadModel", "namespaceonert_1_1loader.html#aa3e212d74367c0eed3cbe983e1fe7421", null ] ]; \ No newline at end of file diff --git a/namespaceonert_1_1train_1_1traininfo__loader.html b/namespaceonert_1_1train_1_1traininfo__loader.html index 3789445e9a4..f51d5fbfe85 100644 --- a/namespaceonert_1_1train_1_1traininfo__loader.html +++ b/namespaceonert_1_1train_1_1traininfo__loader.html @@ -133,28 +133,28 @@

                                        -

                                        Definition at line 86 of file traininfo_loader.cc.

                                        -
                                        87{
                                        -
                                        88 assert(buffer != nullptr);
                                        -
                                        89
                                        -
                                        90 flatbuffers::Verifier v(buffer, size);
                                        -
                                        91 bool verified = circle::VerifyModelTrainingBuffer(v);
                                        -
                                        92 if (not verified)
                                        -
                                        93 throw std::runtime_error{"TrainingInfo buffer is not accessible"};
                                        -
                                        94
                                        -
                                        95 const circle::ModelTraining *circle_model =
                                        -
                                        96 circle::GetModelTraining(static_cast<const void *>(buffer));
                                        -
                                        97
                                        -
                                        98 assert(circle_model != nullptr);
                                        -
                                        99
                                        -
                                        100 auto tinfo = std::make_unique<ir::train::TrainingInfo>();
                                        -
                                        101 {
                                        -
                                        102 tinfo->setBatchSize(circle_model->batch_size());
                                        -
                                        103 tinfo->setOptimizerInfo(loadOptimizerInfo(circle_model));
                                        -
                                        104 tinfo->setLossInfo(loadLossInfo(circle_model));
                                        -
                                        105 }
                                        -
                                        106 return tinfo;
                                        -
                                        107}
                                        +

                                        Definition at line 98 of file traininfo_loader.cc.

                                        +
                                        99{
                                        +
                                        100 assert(buffer != nullptr);
                                        +
                                        101
                                        +
                                        102 flatbuffers::Verifier v(buffer, size);
                                        +
                                        103 bool verified = circle::VerifyModelTrainingBuffer(v);
                                        +
                                        104 if (not verified)
                                        +
                                        105 throw std::runtime_error{"TrainingInfo buffer is not accessible"};
                                        +
                                        106
                                        +
                                        107 const circle::ModelTraining *circle_model =
                                        +
                                        108 circle::GetModelTraining(static_cast<const void *>(buffer));
                                        +
                                        109
                                        +
                                        110 assert(circle_model != nullptr);
                                        +
                                        111
                                        +
                                        112 auto tinfo = std::make_unique<ir::train::TrainingInfo>();
                                        +
                                        113 {
                                        +
                                        114 tinfo->setBatchSize(circle_model->batch_size());
                                        +
                                        115 tinfo->setOptimizerInfo(loadOptimizerInfo(circle_model));
                                        +
                                        116 tinfo->setLossInfo(loadLossInfo(circle_model));
                                        +
                                        117 }
                                        +
                                        118 return tinfo;
                                        +
                                        119}
                                        int32_t size[5]
                                        Definition Slice.cpp:35

                                        References size.

                                        diff --git a/namespaceonert_1_1util.html b/namespaceonert_1_1util.html index bb7a0b0a0f9..93dd7c23a69 100644 --- a/namespaceonert_1_1util.html +++ b/namespaceonert_1_1util.html @@ -406,7 +406,7 @@

                                        References config_source_ext(), and VERBOSE.

                                        -

                                        Referenced by nnfw_session::load_model_from_nnpackage().

                                        +

                                        Referenced by nnfw_session::load_model_from_nnpackage().

                                        diff --git a/namespaceonnx-dump.html b/namespaceonnx-dump.html index 497fd88e333..4f46f6a9819 100644 --- a/namespaceonnx-dump.html +++ b/namespaceonnx-dump.html @@ -524,7 +524,7 @@

                                        Definition at line 135 of file onnx-dump.py.

                                        -
                                        135def main():
                                        +
                                        135def main():
                                        136 if len(sys.argv) < 2:
                                        137 _help_exit(os.path.basename(sys.argv[0]))
                                        138
                                        @@ -534,7 +534,7 @@

                                        142 _dump_graph(onnx_model)

                                        143
                                        144
                                        -
                                        int main()
                                        Definition main.cpp:58
                                        +
                                        int main()
                                        Definition main.cpp:58

                                        References _dump_graph(), _help_exit(), and main().

                                        diff --git a/namespaceonnx-ops.html b/namespaceonnx-ops.html index 9e32122bfab..d885e228068 100644 --- a/namespaceonnx-ops.html +++ b/namespaceonnx-ops.html @@ -193,7 +193,7 @@

                                        Definition at line 34 of file onnx-ops.py.

                                        -
                                        34def main():
                                        +
                                        34def main():
                                        35 if len(sys.argv) < 2:
                                        36 _help_exit(os.path.basename(sys.argv[0]))
                                        37
                                        @@ -203,7 +203,7 @@

                                        41 _dump_operators(onnx_model)

                                        42
                                        43
                                        -
                                        int main()
                                        Definition main.cpp:58
                                        +
                                        int main()
                                        Definition main.cpp:58

                                        References _dump_operators(), _help_exit(), and main().

                                        diff --git a/namespaceopselector.html b/namespaceopselector.html index 6afb59dcdc6..3f24bd583f9 100644 --- a/namespaceopselector.html +++ b/namespaceopselector.html @@ -208,7 +208,7 @@

                                        References luci::CircleExporter::invoke().

                                        -

                                        Referenced by entry().

                                        +

                                        Referenced by entry().

                                        diff --git a/namespaceoptimized__ops.html b/namespaceoptimized__ops.html index b01df6ad3bb..746e0d8ca9f 100644 --- a/namespaceoptimized__ops.html +++ b/namespaceoptimized__ops.html @@ -217,13 +217,13 @@

                                        173 "");
                                        174 const int batches = MatchingArraySize(input_dims, 3, output_dims, 3);
                                        175 const int output_depth = MatchingArraySize(filter_dims, 0, output_dims, 0);
                                        -
                                        176 const int input_height = ArraySize(input_dims, 2);
                                        -
                                        177 const int input_width = ArraySize(input_dims, 1);
                                        -
                                        178 const int input_depth = ArraySize(input_dims, 0);
                                        -
                                        179 const int filter_height = ArraySize(filter_dims, 2);
                                        -
                                        180 const int filter_width = ArraySize(filter_dims, 1);
                                        -
                                        181 const int output_height = ArraySize(output_dims, 2);
                                        -
                                        182 const int output_width = ArraySize(output_dims, 1);
                                        +
                                        176 const int input_height = ArraySize(input_dims, 2);
                                        +
                                        177 const int input_width = ArraySize(input_dims, 1);
                                        +
                                        178 const int input_depth = ArraySize(input_dims, 0);
                                        +
                                        179 const int filter_height = ArraySize(filter_dims, 2);
                                        +
                                        180 const int filter_width = ArraySize(filter_dims, 1);
                                        +
                                        181 const int output_height = ArraySize(output_dims, 2);
                                        +
                                        182 const int output_width = ArraySize(output_dims, 1);
                                        183#if 0 // TODO-NNRT : Check if assertion is needed, output depth some times not equal to input *
                                        184 // depthmultiplier
                                        185 DCHECK(output_depth == input_depth * depth_multiplier);
                                        @@ -322,17 +322,17 @@

                                        @ kNone
                                        -
                                        int ArraySize(const Dims< N > &array, int index)
                                        Definition Dims.h:76
                                        #define DCHECK_GE(x, y)
                                        Definition Macro.h:33
                                        #define DCHECK_LE(x, y)
                                        Definition Macro.h:41
                                        #define DCHECK(condition)
                                        Definition Macro.h:25
                                        +
                                        int ArraySize(const Dims< N > &array, int index)
                                        Definition Dims.h:76
                                        int MatchingArraySize(const ArrayType1 &array1, int index1, const ArrayType2 &array2, int index2)
                                        Definition Array.h:31
                                        void DepthwiseConvInitAccBuffer(int num_output_pixels, int output_depth, const float *bias_data, float *acc_buffer)
                                        -
                                        int strides[N]
                                        Definition Dims.h:28
                                        +
                                        int strides[N]
                                        Definition Dims.h:28
                                        -

                                        References ArraySize(), DCHECK, DCHECK_GE, DCHECK_LE, DepthwiseConvInitAccBuffer(), FloatDepthwiseConvAccumRowGeneric(), kNone, kRelu, kRelu1, kRelu6, MatchingArraySize(), and Dims< N >::strides.

                                        +

                                        References ArraySize(), DCHECK, DCHECK_GE, DCHECK_LE, DepthwiseConvInitAccBuffer(), FloatDepthwiseConvAccumRowGeneric(), kNone, kRelu, kRelu1, kRelu6, MatchingArraySize(), and Dims< N >::strides.

                                        diff --git a/namespacepackage_1_1libnnfw__api__pybind.html b/namespacepackage_1_1libnnfw__api__pybind.html index 4c80acaf782..b5e17f30e65 100644 --- a/namespacepackage_1_1libnnfw__api__pybind.html +++ b/namespacepackage_1_1libnnfw__api__pybind.html @@ -160,7 +160,7 @@

                                        86 return
                                        87
                                        88
                                        -
                                        + diff --git a/namespacesouschef.html b/namespacesouschef.html index 3146dfeefe1..f6dad592c8f 100644 --- a/namespacesouschef.html +++ b/namespacesouschef.html @@ -245,7 +245,7 @@

                                        -

                                        Definition at line 28 of file Dims.h.

                                        +

                                        Definition at line 28 of file Dims.h.

                                        @@ -294,7 +294,7 @@

                                        -

                                        Definition at line 30 of file Dims.h.

                                        +

                                        Definition at line 30 of file Dims.h.

                                        31{
                                        32 std::vector<int32_t> res;
                                        33
                                        @@ -354,7 +354,7 @@

                                        -

                                        Definition at line 42 of file Dims.h.

                                        +

                                        Definition at line 42 of file Dims.h.

                                        43{
                                        44 return std::accumulate(dims.begin(), dims.end(), 1, std::multiplies<int32_t>());
                                        45}
                                        diff --git a/namespacetf2tflite.html b/namespacetf2tflite.html index ca5843e1055..2467cc486ef 100644 --- a/namespacetf2tflite.html +++ b/namespacetf2tflite.html @@ -150,7 +150,7 @@

                                        137}

                                        POSIX File Descriptor.
                                        Definition Fildes.h:29

                                        -

                                        Referenced by main().

                                        +

                                        Referenced by main().

                                        diff --git a/namespacetf2tflite_v2.html b/namespacetf2tflite_v2.html index 8a0aacf1aac..9a1d3e9737c 100644 --- a/namespacetf2tflite_v2.html +++ b/namespacetf2tflite_v2.html @@ -613,7 +613,7 @@

                                        Definition at line 283 of file tf2tfliteV2.py.

                                        -
                                        283def main():
                                        +
                                        283def main():
                                        284 # Parse argument.
                                        285 parser = _get_parser()
                                        286
                                        @@ -625,7 +625,7 @@

                                        292 _convert(flags[0])

                                        293
                                        294
                                        -
                                        int main()
                                        Definition main.cpp:58
                                        +
                                        int main()
                                        Definition main.cpp:58

                                        References _check_flags(), _convert(), _get_parser(), and main().

                                        diff --git a/namespacetflchef.html b/namespacetflchef.html index e0395da4ba6..c02565253ff 100644 --- a/namespacetflchef.html +++ b/namespacetflchef.html @@ -1110,7 +1110,7 @@

                                        -

                                        Referenced by entry(), and entry_stream().

                                        +

                                        Referenced by entry(), and entry_stream().

                                        @@ -1554,7 +1554,7 @@

                                        References as_index_vector(), as_tflchef_sparse_dim_type(), as_tflchef_type(), tflchef::TFliteImport::buffers(), tflchef::TFliteImport::builtin_code(), tflchef::RecipeChefContext::chefop, tflchef::TFliteOpRegistry::get(), souschef::TensorFiller::get_tensor_filler(), tflchef::TFliteImport::inputs(), tflchef::TFliteImport::num_subgraph(), tflchef::TFliteImport::opcode_name(), tflchef::TFliteImport::operators(), tflchef::TFliteImport::outputs(), tflchef::TFliteImport::select_sub_graph(), set_inputs(), set_outputs(), mio::tflite::tensor_name(), tflchef::TFliteImport::tensors(), and tflchef::RecipeChefContext::tflop.

                                        -

                                        Referenced by entry().

                                        +

                                        Referenced by entry().

                                        @@ -1713,7 +1713,7 @@

                                        367 return true;
                                        368}
                                        -

                                        Referenced by entry().

                                        +

                                        Referenced by entry().

                                        diff --git a/namespacetflite_1_1reference__ops.html b/namespacetflite_1_1reference__ops.html index df9f3e4703f..fb3f1395738 100644 --- a/namespacetflite_1_1reference__ops.html +++ b/namespacetflite_1_1reference__ops.html @@ -545,7 +545,7 @@

                                        1407 {
                                        1409 {
                                        -
                                        1410 auto out_idx = Offset(output_shape, b, y, x, c);
                                        +
                                        1410 auto out_idx = Offset(output_shape, b, y, x, c);
                                        1411 auto in1_idx = SubscriptToIndex(desc1, b, y, x, c);
                                        1412 auto in2_idx = SubscriptToIndex(desc2, b, y, x, c);
                                        1413 auto in1_val = input1_data[in1_idx];
                                        @@ -560,10 +560,10 @@

                                        int SubscriptToIndex(const NdArrayDesc< 4 > &desc, int i0, int i1, int i2, int i3)
                                        Definition NDArray.h:54
                                        NdArrayDesc< 4 > desc1
                                        NdArrayDesc< 4 > desc2
                                        -
                                        int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
                                        Definition Dims.h:64
                                        +
                                        int Offset(const Dims< 4 > &dims, int i0, int i1, int i2, int i3)
                                        Definition Dims.h:64
                                        -

                                        References desc1, desc2, NdArrayDescsForElementwiseBroadcast(), Offset(), output_shape, and SubscriptToIndex().

                                        +

                                        References desc1, desc2, NdArrayDescsForElementwiseBroadcast(), Offset(), output_shape, and SubscriptToIndex().

                                        @@ -668,7 +668,7 @@

                                        1285 const int condition_index = SubscriptToIndex(desc_condition, b, y, x, c);
                                        1286 const int x_index = SubscriptToIndex(desc_x, b, y, x, c);
                                        1287 const int y_index = SubscriptToIndex(desc_y, b, y, x, c);
                                        -
                                        1288 output_data[Offset(extended_output_shape, b, y, x, c)] =
                                        +
                                        1288 output_data[Offset(extended_output_shape, b, y, x, c)] =
                                        1289 input_condition_data[condition_index] ? input_x_data[x_index] : input_y_data[y_index];
                                        1290 }
                                        1291 }
                                        @@ -676,7 +676,7 @@

                                        1293 }
                                        1294}
                                        -

                                        References NdArrayDescsForElementwiseBroadcast(), Offset(), output_shape, and SubscriptToIndex().

                                        +

                                        References NdArrayDescsForElementwiseBroadcast(), Offset(), output_shape, and SubscriptToIndex().

                                        @@ -787,15 +787,15 @@

                                        Definition at line 913 of file PALreference_ops.h.

                                        915{
                                        -
                                        916 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        +
                                        916 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        917 for (int i = 0; i < flat_size; i++)
                                        918 {
                                        919 output_data[i] = static_cast<float>(input_data[i]);
                                        920 }
                                        921}
                                        -
                                        int MatchingFlatSize(const Dims< N > &dims, const Dims< N > &check_dims_0)
                                        Definition Dims.h:108
                                        +
                                        int MatchingFlatSize(const Dims< N > &dims, const Dims< N > &check_dims_0)
                                        Definition Dims.h:108
                                        -

                                        References MatchingFlatSize(), and output_shape.

                                        +

                                        References MatchingFlatSize(), and output_shape.

                                        @@ -868,11 +868,11 @@

                                        938 int quant_max = (1 << num_bits) - 1;
                                        939 float nudged_min, nudged_max, nudged_scale;
                                        940 NudgeQuantizationRange(rmin, rmax, quant_min, quant_max, &nudged_min, &nudged_max, &nudged_scale);
                                        -
                                        +
                                        941 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        942 FakeQuantizeArray(nudged_scale, nudged_min, nudged_max, input_data, output_data, flat_size);
                                        943}
                                        -

                                        References MatchingFlatSize(), and output_shape.

                                        +

                                        References MatchingFlatSize(), and output_shape.

                                        @@ -1406,22 +1406,22 @@

                                        552 const float input_gate =
                                        553 1.f /
                                        554 (1.f +
                                        -
                                        555 std::exp(-activ_temp_data[Offset(activ_temp_shape, b, h, w, 0 * output_depth + c)]));
                                        +
                                        555 std::exp(-activ_temp_data[Offset(activ_temp_shape, b, h, w, 0 * output_depth + c)]));
                                        556 const float new_input =
                                        -
                                        557 std::tanh(activ_temp_data[Offset(activ_temp_shape, b, h, w, 1 * output_depth + c)]);
                                        +
                                        557 std::tanh(activ_temp_data[Offset(activ_temp_shape, b, h, w, 1 * output_depth + c)]);
                                        558 const float forget_gate =
                                        559 1.f /
                                        560 (1.f +
                                        -
                                        561 std::exp(-activ_temp_data[Offset(activ_temp_shape, b, h, w, 2 * output_depth + c)]));
                                        +
                                        561 std::exp(-activ_temp_data[Offset(activ_temp_shape, b, h, w, 2 * output_depth + c)]));
                                        562 const float output_gate =
                                        563 1.f /
                                        564 (1.f +
                                        -
                                        565 std::exp(-activ_temp_data[Offset(activ_temp_shape, b, h, w, 3 * output_depth + c)]));
                                        +
                                        565 std::exp(-activ_temp_data[Offset(activ_temp_shape, b, h, w, 3 * output_depth + c)]));
                                        566 const float new_state =
                                        567 input_gate * new_input +
                                        -
                                        568 forget_gate * prev_state_data[Offset(prev_state_shape, b, h, w, c)];
                                        -
                                        569 output_state_data[Offset(output_state_shape, b, h, w, c)] = new_state;
                                        -
                                        570 output_activ_data[Offset(output_activ_shape, b, h, w, c)] =
                                        +
                                        568 forget_gate * prev_state_data[Offset(prev_state_shape, b, h, w, c)];
                                        +
                                        569 output_state_data[Offset(output_state_shape, b, h, w, c)] = new_state;
                                        +
                                        570 output_activ_data[Offset(output_activ_shape, b, h, w, c)] =
                                        571 output_gate * std::tanh(new_state);
                                        572 }
                                        573 }
                                        @@ -1430,7 +1430,7 @@

                                        576}
                                        void FullyConnected(const float *input_data, const Dims< 4 > &input_dims, const float *weights_data, const Dims< 4 > &weights_dims, const float *bias_data, const Dims< 4 > &bias_dims, float *output_data, const Dims< 4 > &output_dims)
                                        -

                                        References Concatenation(), FullyConnected(), and Offset().

                                        +

                                        References Concatenation(), FullyConnected(), and Offset().

                                        @@ -1865,7 +1865,7 @@

                                        Definition at line 1156 of file PALreference_ops.h.

                                        1158{
                                        -
                                        1159 const int flat_size = MatchingFlatSize(input1_shape, output_shape);
                                        +
                                        1159 const int flat_size = MatchingFlatSize(input1_shape, output_shape);
                                        1160
                                        1161 auto max_value = input2_data[0];
                                        1162 for (int i = 0; i < flat_size; i++)
                                        @@ -1874,7 +1874,7 @@

                                        1165 }

                                        1166}
                                        -

                                        References MatchingFlatSize(), and output_shape.

                                        +

                                        References MatchingFlatSize(), and output_shape.

                                        Referenced by Maximum().

                                        @@ -1999,7 +1999,7 @@

                                        Definition at line 1133 of file PALreference_ops.h.

                                        1135{
                                        -
                                        1136 const int flat_size = MatchingFlatSize(input1_shape, output_shape);
                                        +
                                        1136 const int flat_size = MatchingFlatSize(input1_shape, output_shape);
                                        1137
                                        1138 auto min_value = input2_data[0];
                                        1139 for (int i = 0; i < flat_size; i++)
                                        @@ -2008,7 +2008,7 @@

                                        1142 }

                                        1143}
                                        -

                                        References MatchingFlatSize(), and output_shape.

                                        +

                                        References MatchingFlatSize(), and output_shape.

                                        Referenced by Minimum().

                                        @@ -2494,14 +2494,14 @@

                                        Definition at line 1376 of file PALreference_ops.h.

                                        1379{
                                        -
                                        1380 const int flat_size = MatchingFlatSize(input1_shape, input2_shape, output_shape);
                                        +
                                        1380 const int flat_size = MatchingFlatSize(input1_shape, input2_shape, output_shape);
                                        1381 for (int i = 0; i < flat_size; ++i)
                                        1382 {
                                        1383 output_data[i] = std::pow(input1_data[i], input2_data[i]);
                                        1384 }
                                        1385}
                                        -

                                        References MatchingFlatSize(), and output_shape.

                                        +

                                        References MatchingFlatSize(), and output_shape.

                                        @@ -2575,7 +2575,7 @@

                                        1227 int64_t inner_size;
                                        1228 if (input_condition_shape.DimensionsCount() == 0)
                                        1229 {
                                        -
                                        1230 inner_size = MatchingFlatSize(input_x_shape, input_y_shape, output_shape);
                                        +
                                        1230 inner_size = MatchingFlatSize(input_x_shape, input_y_shape, output_shape);
                                        1231 }
                                        1232 else
                                        1233 {
                                        @@ -2593,7 +2593,7 @@

                                        1245}
                                        __global uchar * offset(const Image *img, int x, int y)
                                        Definition helpers.h:540
                                        -

                                        References MatchingFlatSize(), offset(), and output_shape.

                                        +

                                        References MatchingFlatSize(), offset(), and output_shape.

                                        @@ -2647,7 +2647,7 @@

                                        Definition at line 109 of file PALreference_ops.h.

                                        111{
                                        -
                                        112 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        +
                                        112 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        113 for (int i = 0; i < flat_size; ++i)
                                        114 {
                                        115 const T val = input_data[i];
                                        @@ -2657,7 +2657,7 @@

                                        119 }

                                        120}
                                        -

                                        References MatchingFlatSize(), and output_shape.

                                        +

                                        References MatchingFlatSize(), and output_shape.

                                        @@ -2712,7 +2712,7 @@

                                        Definition at line 123 of file PALreference_ops.h.

                                        125{
                                        126 ruy::profiler::ScopeLabel label("Relu1 (not fused)");
                                        -
                                        127 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        +
                                        127 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        128 for (int i = 0; i < flat_size; ++i)
                                        129 {
                                        130 const T val = input_data[i];
                                        @@ -2723,7 +2723,7 @@

                                        135 }

                                        136}
                                        -

                                        References MatchingFlatSize(), and output_shape.

                                        +

                                        References MatchingFlatSize(), and output_shape.

                                        @@ -2776,7 +2776,7 @@

                                        Definition at line 138 of file PALreference_ops.h.

                                        140{
                                        141 ruy::profiler::ScopeLabel label("Relu6 (not fused)");
                                        -
                                        142 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        +
                                        142 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        143 for (int i = 0; i < flat_size; ++i)
                                        144 {
                                        145 const float val = input_data[i];
                                        @@ -2787,7 +2787,7 @@

                                        150 }

                                        151}
                                        -

                                        References MatchingFlatSize(), and output_shape.

                                        +

                                        References MatchingFlatSize(), and output_shape.

                                        @@ -2848,7 +2848,7 @@

                                        Definition at line 172 of file PALreference_ops.h.

                                        174{
                                        175 ruy::profiler::ScopeLabel label("Quantized ReluX (not fused)");
                                        -
                                        176 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        +
                                        176 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        177 const T max_value = params.quantized_activation_max;
                                        178 const T min_value = params.quantized_activation_min;
                                        179 for (int i = 0; i < flat_size; ++i)
                                        @@ -2859,7 +2859,7 @@

                                        184 }

                                        185}
                                        -

                                        References MatchingFlatSize(), and output_shape.

                                        +

                                        References MatchingFlatSize(), and output_shape.

                                        @@ -2920,7 +2920,7 @@

                                        Definition at line 154 of file PALreference_ops.h.

                                        156{
                                        157 ruy::profiler::ScopeLabel label("Quantized ReluX (not fused)");
                                        -
                                        158 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        +
                                        158 const int flat_size = MatchingFlatSize(input_shape, output_shape);
                                        159 for (int i = 0; i < flat_size; ++i)
                                        160 {
                                        161 const int32 val = static_cast<int32_t>(input_data[i]);
                                        @@ -2933,7 +2933,7 @@

                                        168 }

                                        169}
                                        -

                                        References MatchingFlatSize(), and output_shape.

                                        +

                                        References MatchingFlatSize(), and output_shape.

                                        @@ -3429,7 +3429,7 @@

                                        1209 }
                                        1210 else
                                        1211 {
                                        -
                                        1212 flatsize = MatchingFlatSize(input_condition_shape, input_x_shape, input_y_shape, output_shape);
                                        +
                                        1212 flatsize = MatchingFlatSize(input_condition_shape, input_x_shape, input_y_shape, output_shape);
                                        1213 }
                                        1214 for (int64_t i = 0; i < flatsize; ++i)
                                        1215 {
                                        @@ -3437,7 +3437,7 @@

                                        1217 }
                                        1218}
                                        -

                                        References MatchingFlatSize(), and output_shape.

                                        +

                                        References MatchingFlatSize(), and output_shape.

                                        @@ -3593,7 +3593,7 @@

                                        1105 {
                                        1106 for (int i4 = start[4]; i4 < stop[4]; ++i4)
                                        1107 {
                                        -
                                        1108 writer->Write(Offset(ext_shape, i0, i1, i2, i3, i4));
                                        +
                                        1108 writer->Write(Offset(ext_shape, i0, i1, i2, i3, i4));
                                        1109 }
                                        1110 }
                                        1111 }
                                        @@ -3603,7 +3603,7 @@

                                        int8_t size_count
                                        Definition Slice.cpp:34
                                        int8_t begin_count
                                        Definition Slice.cpp:32
                                        -

                                        References begin_count, Offset(), and size_count.

                                        +

                                        References begin_count, Offset(), and size_count.

                                        Referenced by Slice(), and Slice().

                                        @@ -3819,7 +3819,7 @@

                                        1357 const std::vector<TI> &index = indices[i];
                                        1358 TFLITE_DCHECK_EQ(index.size(), 4);
                                        1359 const T value = *values; // just use the first value.
                                        -
                                        1360 output_data[Offset(output_shape, index[0], index[1], index[2], index[3])] = value;
                                        +
                                        1360 output_data[Offset(output_shape, index[0], index[1], index[2], index[3])] = value;
                                        1361 }
                                        1362 return;
                                        1363 }
                                        @@ -3830,12 +3830,12 @@

                                        1368 const std::vector<TI> &index = indices[i];
                                        1369 TFLITE_DCHECK_EQ(index.size(), 4);
                                        1370 const T value = values[i];
                                        -
                                        1371 output_data[Offset(output_shape, index[0], index[1], index[2], index[3])] = value;
                                        +
                                        1371 output_data[Offset(output_shape, index[0], index[1], index[2], index[3])] = value;
                                        1372 }
                                        1373}
                                        loco::GraphInputIndex index(const TFPlaceholder *node)
                                        Definition TFNode.cpp:54
                                        -

                                        References Offset(), and output_shape.

                                        +

                                        References Offset(), and output_shape.

                                        diff --git a/namespaceutils.html b/namespaceutils.html index 9aa8d258bda..a36279858b7 100644 --- a/namespaceutils.html +++ b/namespaceutils.html @@ -699,16 +699,16 @@

                                        128def safemain(main, mainpath):
                                        129 """execute given method and print with program name for all uncaught exceptions"""
                                        130 try:
                                        -
                                        +
                                        131 main()
                                        132 except Exception as e:
                                        133 prog_name = os.path.basename(mainpath)
                                        134 print(f"{prog_name}: {type(e).__name__}: " + str(e), file=sys.stderr)
                                        135 sys.exit(255)
                                        136
                                        137
                                        -
                                        int main()
                                        Definition main.cpp:58
                                        +
                                        int main()
                                        Definition main.cpp:58
                                        -

                                        References main().

                                        +

                                        References main().

                                        diff --git a/namespacevconone.html b/namespacevconone.html index 56cfc25b57e..b517c836cab 100644 --- a/namespacevconone.html +++ b/namespacevconone.html @@ -146,7 +146,7 @@

                                        60 return str;
                                        61}
                                        -

                                        Referenced by main(), and print_version().

                                        +

                                        Referenced by main(), and print_version().

                                        @@ -214,7 +214,7 @@

                                        References get_number().

                                        -

                                        Referenced by main(), and print_version().

                                        +

                                        Referenced by main(), and print_version().

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"classluci__interpreter_1_1test__kernel_1_1_test_data_exp_base.html#a98a4c89e2930675253cc6c0857f718b6":[35,0,56,2,131,6], -"classluci__interpreter_1_1test__kernel_1_1_test_data_exp_base.html#aa136d05d12c7bd4949650f2333eaeab0":[34,0,78,2,363,1], +"classluci__interpreter_1_1test__kernel_1_1_test_data_exp_base.html#a98a4c89e2930675253cc6c0857f718b6":[34,0,78,2,363,6], "classluci__interpreter_1_1test__kernel_1_1_test_data_exp_base.html#aa136d05d12c7bd4949650f2333eaeab0":[35,0,56,2,131,1], -"classluci__interpreter_1_1test__kernel_1_1_test_data_exp_base.html#ab627894b69cc4ff277d1ab7fb3e4716a":[34,0,78,2,363,2], +"classluci__interpreter_1_1test__kernel_1_1_test_data_exp_base.html#aa136d05d12c7bd4949650f2333eaeab0":[34,0,78,2,363,1], "classluci__interpreter_1_1test__kernel_1_1_test_data_exp_base.html#ab627894b69cc4ff277d1ab7fb3e4716a":[35,0,56,2,131,2], -"classluci__interpreter_1_1test__kernel_1_1_test_data_exp_base.html#abfb235dfea8952ea829b25ed70cae28a":[34,0,78,2,363,5], +"classluci__interpreter_1_1test__kernel_1_1_test_data_exp_base.html#ab627894b69cc4ff277d1ab7fb3e4716a":[34,0,78,2,363,2], "classluci__interpreter_1_1test__kernel_1_1_test_data_exp_base.html#abfb235dfea8952ea829b25ed70cae28a":[35,0,56,2,131,5], -"classluci__interpreter_1_1test__kernel_1_1_test_data_exp_base.html#afdab49a3d116df618d3e20e8845d11b3":[34,0,78,2,363,3], +"classluci__interpreter_1_1test__kernel_1_1_test_data_exp_base.html#abfb235dfea8952ea829b25ed70cae28a":[34,0,78,2,363,5], "classluci__interpreter_1_1test__kernel_1_1_test_data_exp_base.html#afdab49a3d116df618d3e20e8845d11b3":[35,0,56,2,131,3], +"classluci__interpreter_1_1test__kernel_1_1_test_data_exp_base.html#afdab49a3d116df618d3e20e8845d11b3":[34,0,78,2,363,3], "classluci__interpreter_1_1test__kernel_1_1_test_data_expand_dims_kernel.html":[34,0,78,2,362], "classluci__interpreter_1_1test__kernel_1_1_test_data_expand_dims_kernel.html":[35,0,56,2,130], "classluci__interpreter_1_1test__kernel_1_1_test_data_expand_dims_kernel.html#a39c9ae5294661a9e04ae21c8aff13216":[35,0,56,2,130,1], "classluci__interpreter_1_1test__kernel_1_1_test_data_expand_dims_kernel.html#a39c9ae5294661a9e04ae21c8aff13216":[34,0,78,2,362,1], -"classluci__interpreter_1_1test__kernel_1_1_test_data_expand_dims_kernel.html#a7bbce94676ed9fa908bcc6130c608d1d":[34,0,78,2,362,2], "classluci__interpreter_1_1test__kernel_1_1_test_data_expand_dims_kernel.html#a7bbce94676ed9fa908bcc6130c608d1d":[35,0,56,2,130,2], +"classluci__interpreter_1_1test__kernel_1_1_test_data_expand_dims_kernel.html#a7bbce94676ed9fa908bcc6130c608d1d":[34,0,78,2,362,2], "classluci__interpreter_1_1test__kernel_1_1_test_data_expand_dims_kernel.html#a99d7eea5fac585009d294d9114375fdd":[35,0,56,2,130,7], "classluci__interpreter_1_1test__kernel_1_1_test_data_expand_dims_kernel.html#a99d7eea5fac585009d294d9114375fdd":[34,0,78,2,362,7], "classluci__interpreter_1_1test__kernel_1_1_test_data_expand_dims_kernel.html#abcd733b1f6dafe63f104a61e99d84e6a":[35,0,56,2,130,4], @@ -243,11 +249,5 @@ var NAVTREEINDEX99 = "classluci__interpreter_1_1test__kernel_1_1_test_data_expand_dims_kernel.html#add0d2a2ce3683e196202f575c2948587":[35,0,56,2,130,3], "classluci__interpreter_1_1test__kernel_1_1_test_data_expand_dims_kernel.html#add0d2a2ce3683e196202f575c2948587":[34,0,78,2,362,3], "classluci__interpreter_1_1test__kernel_1_1_test_data_expand_dims_kernel.html#ae0d6be751513736d51807d1d4ca77941":[35,0,56,2,130,0], -"classluci__interpreter_1_1test__kernel_1_1_test_data_expand_dims_kernel.html#ae0d6be751513736d51807d1d4ca77941":[34,0,78,2,362,0], -"classluci__interpreter_1_1test__kernel_1_1_test_data_expand_dims_kernel.html#aff017b3d623f6446c4cc37318104ad8a":[35,0,56,2,130,5], -"classluci__interpreter_1_1test__kernel_1_1_test_data_expand_dims_kernel.html#aff017b3d623f6446c4cc37318104ad8a":[34,0,78,2,362,5], -"classluci__interpreter_1_1test__kernel_1_1_test_data_fill_kernel.html":[35,0,56,2,132], -"classluci__interpreter_1_1test__kernel_1_1_test_data_fill_kernel.html":[34,0,78,2,364], -"classluci__interpreter_1_1test__kernel_1_1_test_data_fill_kernel.html#a08dd2a8808f271d737d0b07690a7b4cc":[35,0,56,2,132,0], -"classluci__interpreter_1_1test__kernel_1_1_test_data_fill_kernel.html#a08dd2a8808f271d737d0b07690a7b4cc":[34,0,78,2,364,0] +"classluci__interpreter_1_1test__kernel_1_1_test_data_expand_dims_kernel.html#ae0d6be751513736d51807d1d4ca77941":[34,0,78,2,362,0] }; diff --git a/nnfw_8h.html b/nnfw_8h.html index 42fddbb4b0f..e9eed2cade7 100644 --- a/nnfw_8h.html +++ b/nnfw_8h.html @@ -644,9 +644,9 @@

                                        Definition at line 61 of file nnfw_api.cc.

                                        61{ return nnfw_session::create(session); }
                                        -
                                        static NNFW_STATUS create(nnfw_session **session)
                                        Factory method. It creates and initialize nnfw_session.
                                        +
                                        static NNFW_STATUS create(nnfw_session **session)
                                        Factory method. It creates and initialize nnfw_session.
                                        -

                                        References nnfw_session::create().

                                        +

                                        References nnfw_session::create().

                                        Referenced by main(), NNFW_SESSION::NNFW_SESSION(), and NNFW_SESSION::NNFW_SESSION().

                                        diff --git a/nnfw_8h_source.html b/nnfw_8h_source.html index fc8d91f3d7c..9cdcbb66107 100644 --- a/nnfw_8h_source.html +++ b/nnfw_8h_source.html @@ -278,7 +278,7 @@
                                        @ NNFW_LAYOUT_CHANNELS_FIRST
                                        Definition nnfw.h:144
                                        @ NNFW_LAYOUT_NONE
                                        Definition nnfw.h:134
                                        NNFW_STATUS nnfw_set_input_layout(nnfw_session *session, uint32_t index, NNFW_LAYOUT layout)
                                        Set the layout of an input.
                                        Definition nnfw_api.cc:203
                                        - +
                                        tensor info describes the type and shape of tensors
                                        Definition nnfw.h:176
                                        NNFW_TYPE dtype
                                        Definition nnfw.h:178
                                        int32_t dims[NNFW_MAX_RANK]
                                        Definition nnfw.h:185
                                        diff --git a/nnfw__api_8cc.html b/nnfw__api_8cc.html index 35535eb93e0..62765478e95 100644 --- a/nnfw__api_8cc.html +++ b/nnfw__api_8cc.html @@ -272,6 +272,12 @@ NNFW_STATUS nnfw_quantize (nnfw_session *session)  Quantize circle model.
                                          +NNFW_STATUS nnfw_set_codegen_model_path (nnfw_session *session, const char *path) + Set exported codegen model path.
                                        +  +NNFW_STATUS nnfw_codegen (nnfw_session *session, const char *target, NNFW_CODEGEN_PREF pref) + Generate target-dependent code.

                                        Macro Definition Documentation

                                        @@ -468,6 +474,60 @@

                                        Referenced by NNFW_SESSION::close_session(), and main().

                                        + + + +

                                        ◆ nnfw_codegen()

                                        + +
                                        +
                                        + + + + + + + + + + + + + + + + + + + + + + + + +
                                        NNFW_STATUS nnfw_codegen (nnfw_sessionsession,
                                        const char * target,
                                        NNFW_CODEGEN_PREF pref 
                                        )
                                        +
                                        + +

                                        Generate target-dependent code.

                                        +

                                        This function opens a dynamic shared object. It searches for the object as flollows ld.so(8) search rules. If the nnfw_set_codegen_model_path is not called before this function, the codegen model path is automatically defined and used using the same directory of the original model/package with the target backend extension.

                                        +
                                        Parameters
                                        + + + + +
                                        [in]sessionnnfw_session the session which contains information about compilation
                                        [in]targetTarget backend to generate code This target string will be used to find a backend library. The name of target backend library should follow the following rules: 'lib' + {backend extension} + '-gen' + {lib extension} And the target string should be a name except 'lib' and {lib extension}. For example, if the backend extension is 'aaa', the backend library should be 'libaaa-gen.so', and the target string should be 'aaa-gen'.
                                        [in]prefNNFW_CODEGEN_PREF
                                        +
                                        +
                                        +
                                        Returns
                                        NNFW_STATUS_NO_ERROR if successful, otherwise return NNFW_STATUS_ERROR
                                        + +

                                        Definition at line 488 of file nnfw_api.cc.

                                        +
                                        489{
                                        + +
                                        491 return session->codegen(target, pref);
                                        +
                                        492}
                                        +
                                        +

                                        References NNFW_RETURN_ERROR_IF_NULL.

                                        +
                                        @@ -499,9 +559,9 @@

                                        Definition at line 61 of file nnfw_api.cc.

                                        61{ return nnfw_session::create(session); }
                                        -
                                        static NNFW_STATUS create(nnfw_session **session)
                                        Factory method. It creates and initialize nnfw_session.
                                        +
                                        static NNFW_STATUS create(nnfw_session **session)
                                        Factory method. It creates and initialize nnfw_session.
                                        -

                                        References nnfw_session::create().

                                        +

                                        References nnfw_session::create().

                                        Referenced by main(), NNFW_SESSION::NNFW_SESSION(), and NNFW_SESSION::NNFW_SESSION().

                                        @@ -1480,6 +1540,53 @@

                                        References NNFW_RETURN_ERROR_IF_NULL.

                                        + + + +

                                        ◆ nnfw_set_codegen_model_path()

                                        + +
                                        +
                                        + + + + + + + + + + + + + + + + + + +
                                        NNFW_STATUS nnfw_set_codegen_model_path (nnfw_sessionsession,
                                        const char * path 
                                        )
                                        +
                                        + +

                                        Set exported codegen model path.

                                        +

                                        This function should be called before nnfw_codegen is invoked.

                                        +
                                        Parameters
                                        + + + +
                                        [in]sessionnnfw_session to set codegen model path
                                        [in]pathTarget-dependent model path
                                        +
                                        +
                                        +
                                        Returns
                                        NNFW_STATUS_NO_ERROR if successful, otherwise return NNFW_STATUS_ERROR
                                        + +

                                        Definition at line 482 of file nnfw_api.cc.

                                        +
                                        483{
                                        + +
                                        485 return session->set_codegen_model_path(path);
                                        +
                                        486}
                                        +
                                        +

                                        References NNFW_RETURN_ERROR_IF_NULL.

                                        +
                                        diff --git a/nnfw__api_8cc.js b/nnfw__api_8cc.js index 0d87725b31e..5969b96419b 100644 --- a/nnfw__api_8cc.js +++ b/nnfw__api_8cc.js @@ -5,6 +5,7 @@ var nnfw__api_8cc = [ "nnfw_apply_tensorinfo", "nnfw__api_8cc.html#a1803eaf2caed5342bed98c5920e834da", null ], [ "nnfw_await", "nnfw__api_8cc.html#a1793e00e368f906c3492554f762faed8", null ], [ "nnfw_close_session", "nnfw__api_8cc.html#a1918cc4210b397466f99bd7bfd5c4fce", null ], + [ "nnfw_codegen", "nnfw__api_8cc.html#a9c434de04d0c57bf7e28a1c7721bdd49", null ], [ "nnfw_create_session", "nnfw__api_8cc.html#a0ce7408d2db97feea17de8a7a84e5032", null ], [ "nnfw_input_size", "nnfw__api_8cc.html#a65cb6f05dc5fed06b627badbf858ff90", null ], [ "nnfw_input_tensorindex", "nnfw__api_8cc.html#a84b063e69ff8e50612f08a902215c894", null ], @@ -26,6 +27,7 @@ var nnfw__api_8cc = [ "nnfw_run_async", "nnfw__api_8cc.html#a3d4adaa30f44cb701025a622bb3a9511", null ], [ "nnfw_set_available_backends", "nnfw__api_8cc.html#a430308d9cc5354f6fdc22df610991a7e", null ], [ "nnfw_set_backends_per_operation", "nnfw__api_8cc.html#ac7b4df41162c0e5b6977110c2976072f", null ], + [ "nnfw_set_codegen_model_path", "nnfw__api_8cc.html#adf518c89391eaedd334ea28cf09a4710", null ], [ "nnfw_set_input", "nnfw__api_8cc.html#a1043343aa0dc8fc8f1b09197a6b7249c", null ], [ "nnfw_set_input_layout", "nnfw__api_8cc.html#afda894e0ecd8a3df95715ce0371e8293", null ], [ "nnfw_set_input_tensorinfo", "nnfw__api_8cc.html#a6da6c1fa7528ff6f15dff4be7e857c89", null ], diff --git a/nnfw__api_8cc_source.html b/nnfw__api_8cc_source.html index 371cc83a65b..494a7f08664 100644 --- a/nnfw__api_8cc_source.html +++ b/nnfw__api_8cc_source.html @@ -663,6 +663,22 @@
                                        479 return session->quantize();
                                        480}
                                        +
                                        481
                                        +
                                        + +
                                        483{
                                        + +
                                        485 return session->set_codegen_model_path(path);
                                        +
                                        486}
                                        +
                                        +
                                        487
                                        +
                                        +
                                        488NNFW_STATUS nnfw_codegen(nnfw_session *session, const char *target, NNFW_CODEGEN_PREF pref)
                                        +
                                        489{
                                        + +
                                        491 return session->codegen(target, pref);
                                        +
                                        492}
                                        +
                                        volatile const char info[]
                                        NNFW_STATUS
                                        Result values returned from a call to an API function.
                                        Definition nnfw.h:110
                                        @@ -716,6 +732,7 @@
                                        NNFW_STATUS nnfw_input_tensorindex(nnfw_session *session, const char *tensorname, uint32_t *index)
                                        Get the input tensor index by name.
                                        Definition nnfw_api.cc:352
                                        NNFW_STATUS nnfw_run(nnfw_session *session)
                                        Run inference.
                                        Definition nnfw_api.cc:108
                                        NNFW_STATUS nnfw_prepare(nnfw_session *session)
                                        Prepare session to be ready for inference.
                                        Definition nnfw_api.cc:96
                                        +
                                        NNFW_STATUS nnfw_codegen(nnfw_session *session, const char *target, NNFW_CODEGEN_PREF pref)
                                        Generate target-dependent code.
                                        Definition nnfw_api.cc:488
                                        NNFW_STATUS nnfw_quantize(nnfw_session *session)
                                        Quantize circle model.
                                        Definition nnfw_api.cc:476
                                        NNFW_STATUS nnfw_train_set_input(nnfw_session *session, uint32_t index, const void *input, const nnfw_tensorinfo *input_info)
                                        Set training input.
                                        Definition nnfw_api.cc:423
                                        NNFW_STATUS nnfw_prepare_pipeline(nnfw_session *session, const char *map_file_path)
                                        Definition nnfw_api.cc:370
                                        @@ -726,6 +743,7 @@
                                        NNFW_STATUS nnfw_set_backends_per_operation(nnfw_session *session, const char *backend_settings)
                                        Set the backend for each operation in the session.
                                        Definition nnfw_api.cc:364
                                        NNFW_STATUS nnfw_set_op_backend(nnfw_session *session, const char *op, const char *backend)
                                        Set the operation's backend.
                                        Definition nnfw_api.cc:306
                                        NNFW_STATUS nnfw_pop_pipeline_output(nnfw_session *session, void *outputs)
                                        Get last outputs of partitioned model in session.
                                        Definition nnfw_api.cc:383
                                        +
                                        NNFW_STATUS nnfw_set_codegen_model_path(nnfw_session *session, const char *path)
                                        Set exported codegen model path.
                                        Definition nnfw_api.cc:482
                                        NNFW_STATUS nnfw_set_quantized_model_path(nnfw_session *session, const char *path)
                                        Set exported quantized model path.
                                        Definition nnfw_api.cc:470
                                        NNFW_STATUS nnfw_train_input_tensorinfo(nnfw_session *session, uint32_t index, nnfw_tensorinfo *info)
                                        Get the training model input information.
                                        Definition nnfw_api.cc:409
                                        NNFW_STATUS nnfw_train_expected_tensorinfo(nnfw_session *session, uint32_t index, nnfw_tensorinfo *info)
                                        Get the training model expected output information.
                                        Definition nnfw_api.cc:416
                                        @@ -733,13 +751,14 @@
                                        NNFW_STATUS nnfw_train_export_circle(nnfw_session *session, const char *path)
                                        Export circle model.
                                        Definition nnfw_api.cc:456
                                        NNFW_STATUS nnfw_set_input_layout(nnfw_session *session, uint32_t index, NNFW_LAYOUT layout)
                                        Set the layout of an input.
                                        Definition nnfw_api.cc:203
                                        +
                                        NNFW_CODEGEN_PREF
                                        Preference for target-dependent code generation.
                                        NNFW_QUANTIZE_TYPE
                                        Convert between training mode and inference mode.
                                        #define NNFW_VERSION
                                        int32_t size[5]
                                        Definition Slice.cpp:35
                                        - -
                                        static NNFW_STATUS create(nnfw_session **session)
                                        Factory method. It creates and initialize nnfw_session.
                                        + +
                                        static NNFW_STATUS create(nnfw_session **session)
                                        Factory method. It creates and initialize nnfw_session.
                                        tensor info describes the type and shape of tensors
                                        Definition nnfw.h:176
                                        Training information to prepare training.
                                        diff --git a/nnfw__api__internal_8cc.html b/nnfw__api__internal_8cc.html index 860fc24cdd2..12f9ab109f4 100644 --- a/nnfw__api__internal_8cc.html +++ b/nnfw__api__internal_8cc.html @@ -102,6 +102,7 @@ #include "util/logging.h"
                                        #include "exec/Execution.h"
                                        #include "loader/circle_loader.h"
                                        +#include "loader/ModelLoader.h"
                                        #include "loader/tflite_loader.h"
                                        #include "loader/traininfo_loader.h"
                                        #include "json/json.h"
                                        @@ -110,6 +111,7 @@ #include "ir/train/TrainingInfo.h"
                                        #include "util/TracingCtx.h"
                                        #include "odc/QuantizeManager.h"
                                        +#include "odc/CodegenManager.h"
                                        #include "circle_schema_generated.h"
                                        #include "trix_loader.h"
                                        #include <fstream>
                                        @@ -180,7 +182,7 @@

                                        -

                                        Definition at line 50 of file nnfw_api_internal.cc.

                                        +

                                        Definition at line 52 of file nnfw_api_internal.cc.

                                        @@ -196,7 +198,7 @@

                                        -

                                        Definition at line 51 of file nnfw_api_internal.cc.

                                        +

                                        Definition at line 53 of file nnfw_api_internal.cc.

                                        @@ -212,7 +214,7 @@

                                        -

                                        Definition at line 52 of file nnfw_api_internal.cc.

                                        +

                                        Definition at line 54 of file nnfw_api_internal.cc.

                                        @@ -228,7 +230,7 @@

                                        -

                                        Definition at line 53 of file nnfw_api_internal.cc.

                                        +

                                        Definition at line 55 of file nnfw_api_internal.cc.

                                        diff --git a/nnfw__api__internal_8cc_source.html b/nnfw__api__internal_8cc_source.html index 94dc725f886..14079f6a0c3 100644 --- a/nnfw__api__internal_8cc_source.html +++ b/nnfw__api__internal_8cc_source.html @@ -121,1139 +121,1139 @@
                                        22#include "util/logging.h"
                                        23#include "exec/Execution.h"
                                        - - -
                                        27#include "json/json.h"
                                        -
                                        28#include "ir/NNPkg.h"
                                        -
                                        29#include "ir/OpCode.h"
                                        - -
                                        31#include "util/TracingCtx.h"
                                        -
                                        32#include "odc/QuantizeManager.h"
                                        -
                                        33#include "circle_schema_generated.h"
                                        -
                                        34#include "trix_loader.h"
                                        -
                                        35
                                        -
                                        36#include <fstream>
                                        -
                                        37#include <iostream>
                                        -
                                        38#include <string>
                                        -
                                        39#include <vector>
                                        -
                                        40#include <dirent.h>
                                        -
                                        41#include <misc/string_helpers.h>
                                        -
                                        42
                                        -
                                        43#include <fcntl.h> // O_RDONLY
                                        -
                                        44#include <sys/mman.h> // mmap, munmap
                                        -
                                        45#include <sys/stat.h> // fstat
                                        -
                                        46#include <unistd.h> // close
                                        -
                                        47/*
                                        -
                                        48 * API does not accept string argument longer than max length below
                                        -
                                        49 */
                                        -
                                        50#define MAX_BACKEND_NAME_LENGTH 32
                                        -
                                        51#define MAX_OP_NAME_LENGTH 64
                                        -
                                        52#define MAX_PATH_LENGTH 1024
                                        -
                                        53#define MAX_TENSOR_NAME_LENGTH 64
                                        -
                                        54
                                        -
                                        55namespace
                                        -
                                        56{
                                        -
                                        57
                                        -
                                        58// Is null-terminating in length ?
                                        -
                                        59bool null_terminating(const char *str, uint32_t length)
                                        -
                                        60{
                                        -
                                        61 for (uint32_t i = 0; i < length; i++)
                                        -
                                        62 {
                                        -
                                        63 if (*(str + i) == '\0')
                                        -
                                        64 {
                                        -
                                        65 return true;
                                        -
                                        66 }
                                        -
                                        67 }
                                        -
                                        68 return false;
                                        -
                                        69}
                                        -
                                        70
                                        -
                                        71onert::ir::Layout convertLayout(NNFW_LAYOUT layout)
                                        -
                                        72{
                                        -
                                        73 if (layout == NNFW_LAYOUT_CHANNELS_LAST)
                                        -
                                        74 {
                                        - -
                                        76 }
                                        -
                                        77 else if (layout == NNFW_LAYOUT_CHANNELS_FIRST)
                                        -
                                        78 {
                                        - -
                                        80 }
                                        - -
                                        82}
                                        -
                                        83
                                        -
                                        84NNFW_STATUS getTensorIndexImpl(const onert::ir::IGraph &graph, const char *tensorname,
                                        -
                                        85 uint32_t *index, bool is_input)
                                        -
                                        86{
                                        -
                                        87 if (!tensorname || !index)
                                        - -
                                        89
                                        -
                                        90 if (!null_terminating(tensorname, MAX_TENSOR_NAME_LENGTH))
                                        -
                                        91 {
                                        -
                                        92 std::cerr << "nnpackage path is too long" << std::endl;
                                        -
                                        93 return NNFW_STATUS_ERROR;
                                        -
                                        94 }
                                        -
                                        95
                                        -
                                        96 auto ind_found = is_input ? graph.getInputIndex(tensorname) : graph.getOutputIndex(tensorname);
                                        +
                                        25#include "loader/ModelLoader.h"
                                        + + +
                                        28#include "json/json.h"
                                        +
                                        29#include "ir/NNPkg.h"
                                        +
                                        30#include "ir/OpCode.h"
                                        + +
                                        32#include "util/TracingCtx.h"
                                        +
                                        33#include "odc/QuantizeManager.h"
                                        +
                                        34#include "odc/CodegenManager.h"
                                        +
                                        35#include "circle_schema_generated.h"
                                        +
                                        36#include "trix_loader.h"
                                        +
                                        37
                                        +
                                        38#include <fstream>
                                        +
                                        39#include <iostream>
                                        +
                                        40#include <string>
                                        +
                                        41#include <vector>
                                        +
                                        42#include <dirent.h>
                                        +
                                        43#include <misc/string_helpers.h>
                                        +
                                        44
                                        +
                                        45#include <fcntl.h> // O_RDONLY
                                        +
                                        46#include <sys/mman.h> // mmap, munmap
                                        +
                                        47#include <sys/stat.h> // fstat
                                        +
                                        48#include <unistd.h> // close
                                        +
                                        49/*
                                        +
                                        50 * API does not accept string argument longer than max length below
                                        +
                                        51 */
                                        +
                                        52#define MAX_BACKEND_NAME_LENGTH 32
                                        +
                                        53#define MAX_OP_NAME_LENGTH 64
                                        +
                                        54#define MAX_PATH_LENGTH 1024
                                        +
                                        55#define MAX_TENSOR_NAME_LENGTH 64
                                        +
                                        56
                                        +
                                        57namespace
                                        +
                                        58{
                                        +
                                        59
                                        +
                                        60// Is null-terminating in length ?
                                        +
                                        61bool null_terminating(const char *str, uint32_t length)
                                        +
                                        62{
                                        +
                                        63 for (uint32_t i = 0; i < length; i++)
                                        +
                                        64 {
                                        +
                                        65 if (*(str + i) == '\0')
                                        +
                                        66 {
                                        +
                                        67 return true;
                                        +
                                        68 }
                                        +
                                        69 }
                                        +
                                        70 return false;
                                        +
                                        71}
                                        +
                                        72
                                        +
                                        73onert::ir::Layout convertLayout(NNFW_LAYOUT layout)
                                        +
                                        74{
                                        +
                                        75 if (layout == NNFW_LAYOUT_CHANNELS_LAST)
                                        +
                                        76 {
                                        + +
                                        78 }
                                        +
                                        79 else if (layout == NNFW_LAYOUT_CHANNELS_FIRST)
                                        +
                                        80 {
                                        + +
                                        82 }
                                        + +
                                        84}
                                        +
                                        85
                                        +
                                        86NNFW_STATUS getTensorIndexImpl(const onert::ir::IGraph &graph, const char *tensorname,
                                        +
                                        87 uint32_t *index, bool is_input)
                                        +
                                        88{
                                        +
                                        89 if (!tensorname || !index)
                                        + +
                                        91
                                        +
                                        92 if (!null_terminating(tensorname, MAX_TENSOR_NAME_LENGTH))
                                        +
                                        93 {
                                        +
                                        94 std::cerr << "nnpackage path is too long" << std::endl;
                                        +
                                        95 return NNFW_STATUS_ERROR;
                                        +
                                        96 }
                                        97
                                        -
                                        98 if (ind_found.undefined())
                                        -
                                        99 {
                                        -
                                        100 // Not found
                                        -
                                        101 return NNFW_STATUS_ERROR;
                                        -
                                        102 }
                                        -
                                        103 else
                                        -
                                        104 {
                                        -
                                        105 *index = ind_found.value();
                                        - -
                                        107 }
                                        -
                                        108}
                                        -
                                        109
                                        -
                                        110std::string trim(const std::string &value)
                                        -
                                        111{
                                        -
                                        112 std::string whitespace = " \t";
                                        -
                                        113 auto begin = value.find_first_not_of(whitespace);
                                        -
                                        114 if (begin == std::string::npos)
                                        -
                                        115 return ""; // no content
                                        -
                                        116
                                        -
                                        117 auto end = value.find_last_not_of(whitespace);
                                        -
                                        118 auto range = end - begin + 1;
                                        -
                                        119 return value.substr(begin, range);
                                        -
                                        120}
                                        -
                                        121
                                        -
                                        122bool loadConfigure(const std::string cfgfile, onert::util::CfgKeyValues &keyValues)
                                        -
                                        123{
                                        -
                                        124 std::ifstream ifs(cfgfile);
                                        -
                                        125 if (ifs.is_open())
                                        -
                                        126 {
                                        -
                                        127 std::string line;
                                        -
                                        128 while (std::getline(ifs, line))
                                        -
                                        129 {
                                        -
                                        130 auto cmtpos = line.find('#');
                                        -
                                        131 if (cmtpos != std::string::npos)
                                        -
                                        132 {
                                        -
                                        133 line = line.substr(0, cmtpos);
                                        -
                                        134 }
                                        -
                                        135 std::istringstream isline(line);
                                        -
                                        136 std::string key;
                                        -
                                        137 if (std::getline(isline, key, '='))
                                        -
                                        138 {
                                        -
                                        139 std::string value;
                                        -
                                        140 if (std::getline(isline, value))
                                        -
                                        141 {
                                        -
                                        142 key = trim(key);
                                        -
                                        143 keyValues[key] = trim(value);
                                        -
                                        144 }
                                        -
                                        145 }
                                        -
                                        146 }
                                        -
                                        147 ifs.close();
                                        -
                                        148 return true;
                                        -
                                        149 }
                                        -
                                        150 return false;
                                        -
                                        151}
                                        -
                                        152
                                        -
                                        153NNFW_TYPE datatype_to_nnfw_dtype(onert::ir::DataType dt)
                                        -
                                        154{
                                        - -
                                        156 switch (dt)
                                        -
                                        157 {
                                        -
                                        158 case DataType::FLOAT32:
                                        - -
                                        160 case DataType::INT32:
                                        - -
                                        162 case DataType::QUANT_UINT8_ASYMM:
                                        - -
                                        164 case DataType::BOOL8:
                                        - -
                                        166 case DataType::UINT8:
                                        - -
                                        168 case DataType::INT64:
                                        - -
                                        170 case DataType::QUANT_INT8_ASYMM:
                                        - -
                                        172 case DataType::QUANT_INT16_SYMM:
                                        - -
                                        174 case DataType::UINT32:
                                        -
                                        175 case DataType::QUANT_INT8_SYMM:
                                        -
                                        176 default:
                                        -
                                        177 throw std::runtime_error("Error: Model has type that runtime API does not support.");
                                        -
                                        178 }
                                        -
                                        179}
                                        -
                                        180
                                        -
                                        181void fillTensorInfo(nnfw_tensorinfo *ti, const onert::ir::Shape &shape,
                                        -
                                        182 const onert::ir::DataType &dtype)
                                        -
                                        183{
                                        -
                                        184 ti->rank = shape.rank();
                                        -
                                        185 for (int j = 0; j < ti->rank; ++j)
                                        -
                                        186 {
                                        -
                                        187 ti->dims[j] = shape.dim(j);
                                        -
                                        188 }
                                        -
                                        189 ti->dtype = datatype_to_nnfw_dtype(dtype);
                                        -
                                        190}
                                        -
                                        191
                                        -
                                        192std::unique_ptr<onert::ir::Model> loadModel(const std::string filename,
                                        -
                                        193 const std::string model_type)
                                        -
                                        194{
                                        -
                                        195 if (model_type == "tflite")
                                        -
                                        196 return onert::tflite_loader::loadModel(filename.c_str());
                                        -
                                        197 if (model_type == "circle")
                                        -
                                        198 return onert::circle_loader::loadModel(filename.c_str());
                                        -
                                        199 if (model_type == "tvn")
                                        -
                                        200 return onert::trix_loader::loadModel(filename.c_str());
                                        -
                                        201
                                        -
                                        202 std::cerr << "Unsupported model type" << std::endl;
                                        -
                                        203 return std::unique_ptr<onert::ir::Model>(nullptr);
                                        -
                                        204}
                                        +
                                        98 auto ind_found = is_input ? graph.getInputIndex(tensorname) : graph.getOutputIndex(tensorname);
                                        +
                                        99
                                        +
                                        100 if (ind_found.undefined())
                                        +
                                        101 {
                                        +
                                        102 // Not found
                                        +
                                        103 return NNFW_STATUS_ERROR;
                                        +
                                        104 }
                                        +
                                        105 else
                                        +
                                        106 {
                                        +
                                        107 *index = ind_found.value();
                                        + +
                                        109 }
                                        +
                                        110}
                                        +
                                        111
                                        +
                                        112std::string trim(const std::string &value)
                                        +
                                        113{
                                        +
                                        114 std::string whitespace = " \t";
                                        +
                                        115 auto begin = value.find_first_not_of(whitespace);
                                        +
                                        116 if (begin == std::string::npos)
                                        +
                                        117 return ""; // no content
                                        +
                                        118
                                        +
                                        119 auto end = value.find_last_not_of(whitespace);
                                        +
                                        120 auto range = end - begin + 1;
                                        +
                                        121 return value.substr(begin, range);
                                        +
                                        122}
                                        +
                                        123
                                        +
                                        124bool loadConfigure(const std::string cfgfile, onert::util::CfgKeyValues &keyValues)
                                        +
                                        125{
                                        +
                                        126 std::ifstream ifs(cfgfile);
                                        +
                                        127 if (ifs.is_open())
                                        +
                                        128 {
                                        +
                                        129 std::string line;
                                        +
                                        130 while (std::getline(ifs, line))
                                        +
                                        131 {
                                        +
                                        132 auto cmtpos = line.find('#');
                                        +
                                        133 if (cmtpos != std::string::npos)
                                        +
                                        134 {
                                        +
                                        135 line = line.substr(0, cmtpos);
                                        +
                                        136 }
                                        +
                                        137 std::istringstream isline(line);
                                        +
                                        138 std::string key;
                                        +
                                        139 if (std::getline(isline, key, '='))
                                        +
                                        140 {
                                        +
                                        141 std::string value;
                                        +
                                        142 if (std::getline(isline, value))
                                        +
                                        143 {
                                        +
                                        144 key = trim(key);
                                        +
                                        145 keyValues[key] = trim(value);
                                        +
                                        146 }
                                        +
                                        147 }
                                        +
                                        148 }
                                        +
                                        149 ifs.close();
                                        +
                                        150 return true;
                                        +
                                        151 }
                                        +
                                        152 return false;
                                        +
                                        153}
                                        +
                                        154
                                        +
                                        155NNFW_TYPE datatype_to_nnfw_dtype(onert::ir::DataType dt)
                                        +
                                        156{
                                        + +
                                        158 switch (dt)
                                        +
                                        159 {
                                        +
                                        160 case DataType::FLOAT32:
                                        + +
                                        162 case DataType::INT32:
                                        + +
                                        164 case DataType::QUANT_UINT8_ASYMM:
                                        + +
                                        166 case DataType::BOOL8:
                                        + +
                                        168 case DataType::UINT8:
                                        + +
                                        170 case DataType::INT64:
                                        + +
                                        172 case DataType::QUANT_INT8_ASYMM:
                                        + +
                                        174 case DataType::QUANT_INT16_SYMM:
                                        + +
                                        176 case DataType::UINT32:
                                        +
                                        177 case DataType::QUANT_INT8_SYMM:
                                        +
                                        178 default:
                                        +
                                        179 throw std::runtime_error("Error: Model has type that runtime API does not support.");
                                        +
                                        180 }
                                        +
                                        181}
                                        +
                                        182
                                        +
                                        183void fillTensorInfo(nnfw_tensorinfo *ti, const onert::ir::Shape &shape,
                                        +
                                        184 const onert::ir::DataType &dtype)
                                        +
                                        185{
                                        +
                                        186 ti->rank = shape.rank();
                                        +
                                        187 for (int j = 0; j < ti->rank; ++j)
                                        +
                                        188 {
                                        +
                                        189 ti->dims[j] = shape.dim(j);
                                        +
                                        190 }
                                        +
                                        191 ti->dtype = datatype_to_nnfw_dtype(dtype);
                                        +
                                        192}
                                        +
                                        193
                                        +
                                        194std::unique_ptr<onert::ir::Model> loadModel(const std::string filename,
                                        +
                                        195 const std::string model_type)
                                        +
                                        196{
                                        +
                                        197 try
                                        +
                                        198 {
                                        +
                                        199 if (model_type == "tflite")
                                        +
                                        200 return onert::tflite_loader::loadModel(filename.c_str());
                                        +
                                        201 if (model_type == "circle")
                                        +
                                        202 return onert::circle_loader::loadModel(filename.c_str());
                                        +
                                        203 if (model_type == "tvn")
                                        +
                                        204 return onert::trix_loader::loadModel(filename.c_str());
                                        205
                                        -
                                        206std::unique_ptr<onert::ir::train::TrainingInfo>
                                        -
                                        207loadTrainingInfo(const std::shared_ptr<onert::ir::Model> &model)
                                        -
                                        208{
                                        - -
                                        210 if (model->exists_metadata(tinfo_name))
                                        -
                                        211 {
                                        -
                                        212 const auto buffer = model->extract_metadata(tinfo_name);
                                        -
                                        213 return onert::train::traininfo_loader::loadTrainingInfo(buffer->base(), buffer->size());
                                        -
                                        214 }
                                        -
                                        215 return std::make_unique<onert::ir::train::TrainingInfo>();
                                        -
                                        216}
                                        -
                                        217
                                        -
                                        218uint64_t getBufSize(const nnfw_tensorinfo *info)
                                        -
                                        219{
                                        -
                                        220 static int elmsize[] = {
                                        -
                                        221 sizeof(float), /* NNFW_TYPE_TENSOR_FLOAT32 = 0 */
                                        -
                                        222 sizeof(int), /* NNFW_TYPE_TENSOR_INT32 = 1 */
                                        -
                                        223 sizeof(uint8_t), /* NNFW_TYPE_TENSOR_QUANT8_ASYMM = 2 */
                                        -
                                        224 sizeof(bool), /* NNFW_TYPE_TENSOR_BOOL = 3 */
                                        -
                                        225 sizeof(uint8_t), /* NNFW_TYPE_TENSOR_UINT8 = 4 */
                                        -
                                        226 sizeof(int64_t), /* NNFW_TYPE_TENSOR_INT64 = 5 */
                                        -
                                        227 sizeof(int8_t), /* NNFW_TYPE_TENSOR_QUANT8_ASYMM_SIGNED = 6 */
                                        -
                                        228 sizeof(int16_t), /* NNFW_TYPE_TENSOR_QUANT16_SYMM_SIGNED = 7 */
                                        -
                                        229 };
                                        -
                                        230
                                        -
                                        231 uint64_t n = 1;
                                        -
                                        232 for (int32_t i = 0; i < info->rank; ++i)
                                        -
                                        233 {
                                        -
                                        234 assert(info->dims[i] >= 0);
                                        -
                                        235 n *= info->dims[i];
                                        -
                                        236 }
                                        -
                                        237 return elmsize[info->dtype] * n;
                                        -
                                        238}
                                        -
                                        239} // namespace
                                        +
                                        206 return onert::loader::loadModel(filename, model_type);
                                        +
                                        207 }
                                        +
                                        208 catch (const std::exception &e)
                                        +
                                        209 {
                                        +
                                        210 std::cerr << "Fail to load model: " << e.what() << '\n';
                                        +
                                        211 }
                                        +
                                        212
                                        +
                                        213 return std::unique_ptr<onert::ir::Model>(nullptr);
                                        +
                                        214}
                                        +
                                        215
                                        +
                                        216std::unique_ptr<onert::ir::train::TrainingInfo>
                                        +
                                        217loadTrainingInfo(const std::shared_ptr<onert::ir::Model> &model)
                                        +
                                        218{
                                        + +
                                        220 if (model->exists_metadata(tinfo_name))
                                        +
                                        221 {
                                        +
                                        222 const auto buffer = model->extract_metadata(tinfo_name);
                                        +
                                        223 return onert::train::traininfo_loader::loadTrainingInfo(buffer->base(), buffer->size());
                                        +
                                        224 }
                                        +
                                        225 return std::make_unique<onert::ir::train::TrainingInfo>();
                                        +
                                        226}
                                        +
                                        227
                                        +
                                        228uint64_t getBufSize(const nnfw_tensorinfo *info)
                                        +
                                        229{
                                        +
                                        230 static int elmsize[] = {
                                        +
                                        231 sizeof(float), /* NNFW_TYPE_TENSOR_FLOAT32 = 0 */
                                        +
                                        232 sizeof(int), /* NNFW_TYPE_TENSOR_INT32 = 1 */
                                        +
                                        233 sizeof(uint8_t), /* NNFW_TYPE_TENSOR_QUANT8_ASYMM = 2 */
                                        +
                                        234 sizeof(bool), /* NNFW_TYPE_TENSOR_BOOL = 3 */
                                        +
                                        235 sizeof(uint8_t), /* NNFW_TYPE_TENSOR_UINT8 = 4 */
                                        +
                                        236 sizeof(int64_t), /* NNFW_TYPE_TENSOR_INT64 = 5 */
                                        +
                                        237 sizeof(int8_t), /* NNFW_TYPE_TENSOR_QUANT8_ASYMM_SIGNED = 6 */
                                        +
                                        238 sizeof(int16_t), /* NNFW_TYPE_TENSOR_QUANT16_SYMM_SIGNED = 7 */
                                        +
                                        239 };
                                        240
                                        -
                                        241nnfw_session::nnfw_session()
                                        -
                                        242 : _nnpkg{nullptr}, _coptions{}, _compiler_artifact{nullptr}, _execution{nullptr},
                                        -
                                        243 _kernel_registry{nullptr}, _train_info{nullptr}, _quant_manager{nullptr}
                                        -
                                        244{
                                        -
                                        245 // DO NOTHING
                                        -
                                        246}
                                        -
                                        247
                                        -
                                        - -
                                        249{
                                        -
                                        250 if (session == nullptr)
                                        - -
                                        252 try
                                        -
                                        253 {
                                        -
                                        254 auto new_session = std::unique_ptr<nnfw_session>(new nnfw_session());
                                        -
                                        255 new_session->_kernel_registry = std::make_shared<onert::api::CustomKernelRegistry>();
                                        -
                                        256 *session = new_session.release();
                                        -
                                        257 }
                                        -
                                        258 catch (const std::bad_alloc &e)
                                        -
                                        259 {
                                        -
                                        260 std::cerr << "Error during session creation" << std::endl;
                                        -
                                        261 *session = nullptr; // Set nullptr on error to keep the old behavior
                                        - -
                                        263 }
                                        -
                                        264 catch (const std::exception &e)
                                        -
                                        265 {
                                        -
                                        266 std::cerr << "Error during session initialization : " << e.what() << std::endl;
                                        -
                                        267 *session = nullptr; // Set nullptr on error to keep the old behavior
                                        -
                                        268 return NNFW_STATUS_ERROR;
                                        -
                                        269 }
                                        - -
                                        271}
                                        +
                                        241 uint64_t n = 1;
                                        +
                                        242 for (int32_t i = 0; i < info->rank; ++i)
                                        +
                                        243 {
                                        +
                                        244 assert(info->dims[i] >= 0);
                                        +
                                        245 n *= info->dims[i];
                                        +
                                        246 }
                                        +
                                        247 return elmsize[info->dtype] * n;
                                        +
                                        248}
                                        +
                                        249} // namespace
                                        +
                                        250
                                        +
                                        251nnfw_session::nnfw_session()
                                        +
                                        252 : _nnpkg{nullptr}, _coptions{}, _compiler_artifact{nullptr}, _execution{nullptr},
                                        +
                                        253 _kernel_registry{nullptr}, _train_info{nullptr}, _quant_manager{nullptr},
                                        +
                                        254 _codegen_manager{nullptr}
                                        +
                                        255{
                                        +
                                        256 // DO NOTHING
                                        +
                                        257}
                                        +
                                        258
                                        +
                                        + +
                                        260{
                                        +
                                        261 if (session == nullptr)
                                        + +
                                        263 try
                                        +
                                        264 {
                                        +
                                        265 auto new_session = std::unique_ptr<nnfw_session>(new nnfw_session());
                                        +
                                        266 new_session->_kernel_registry = std::make_shared<onert::api::CustomKernelRegistry>();
                                        +
                                        267 *session = new_session.release();
                                        +
                                        268 }
                                        +
                                        269 catch (const std::bad_alloc &e)
                                        +
                                        270 {
                                        +
                                        271 std::cerr << "Error during session creation" << std::endl;
                                        +
                                        272 *session = nullptr; // Set nullptr on error to keep the old behavior
                                        + +
                                        274 }
                                        +
                                        275 catch (const std::exception &e)
                                        +
                                        276 {
                                        +
                                        277 std::cerr << "Error during session initialization : " << e.what() << std::endl;
                                        +
                                        278 *session = nullptr; // Set nullptr on error to keep the old behavior
                                        +
                                        279 return NNFW_STATUS_ERROR;
                                        +
                                        280 }
                                        + +
                                        282}
                                        -
                                        272
                                        - -
                                        274
                                        -
                                        - -
                                        276{
                                        -
                                        277 if (!isStateInitialized())
                                        - -
                                        279
                                        -
                                        280 if (!buffer)
                                        - -
                                        282
                                        -
                                        283 if (size == 0)
                                        -
                                        284 return NNFW_STATUS_ERROR;
                                        +
                                        283
                                        +
                                        285
                                        -
                                        286 try
                                        -
                                        287 {
                                        -
                                        288 auto model = onert::circle_loader::loadModel(buffer, size);
                                        -
                                        289 // TODO: Update _model_path if necessary
                                        -
                                        290 _nnpkg = std::make_shared<onert::ir::NNPkg>(std::move(model));
                                        - -
                                        292 _train_info = loadTrainingInfo(_nnpkg->primary_model());
                                        -
                                        293 _state = State::MODEL_LOADED;
                                        -
                                        294 }
                                        -
                                        295 catch (const std::exception &e)
                                        -
                                        296 {
                                        -
                                        297 std::cerr << "Error during model loading : " << e.what() << std::endl;
                                        -
                                        298 return NNFW_STATUS_ERROR;
                                        -
                                        299 }
                                        - -
                                        301}
                                        +
                                        + +
                                        287{
                                        +
                                        288 if (!isStateInitialized())
                                        + +
                                        290
                                        +
                                        291 if (!buffer)
                                        + +
                                        293
                                        +
                                        294 if (size == 0)
                                        +
                                        295 return NNFW_STATUS_ERROR;
                                        +
                                        296
                                        +
                                        297 try
                                        +
                                        298 {
                                        +
                                        299 auto model = onert::circle_loader::loadModel(buffer, size);
                                        +
                                        300 // TODO: Update _model_path if necessary
                                        +
                                        301 _nnpkg = std::make_shared<onert::ir::NNPkg>(std::move(model));
                                        + +
                                        303 _train_info = loadTrainingInfo(_nnpkg->primary_model());
                                        +
                                        304 _state = State::MODEL_LOADED;
                                        +
                                        305 }
                                        +
                                        306 catch (const std::exception &e)
                                        +
                                        307 {
                                        +
                                        308 std::cerr << "Error during model loading : " << e.what() << std::endl;
                                        +
                                        309 return NNFW_STATUS_ERROR;
                                        +
                                        310 }
                                        + +
                                        312}
                                        -
                                        302
                                        -
                                        - -
                                        304{
                                        -
                                        305 if (!isStateInitialized())
                                        - -
                                        307
                                        -
                                        308 if (!model_file_path)
                                        -
                                        309 {
                                        -
                                        310 std::cerr << "Model file path is null." << std::endl;
                                        - -
                                        312 }
                                        313
                                        -
                                        314 // Create quantize manager
                                        -
                                        315 _quant_manager = std::make_unique<onert::odc::QuantizeManager>(std::string(model_file_path));
                                        -
                                        316
                                        -
                                        317 std::string filename{model_file_path};
                                        -
                                        318 // TODO: Use std::filesystem::path when we can use c++17.
                                        -
                                        319 auto dotidx = filename.find_last_of('.');
                                        -
                                        320 if (dotidx == std::string::npos)
                                        -
                                        321 {
                                        -
                                        322 std::cerr << "Invalid model file path. Please use file with extension." << std::endl;
                                        -
                                        323 return NNFW_STATUS_ERROR;
                                        -
                                        324 }
                                        -
                                        325 std::string model_type = filename.substr(dotidx + 1); // + 1 to exclude dot
                                        -
                                        326 try
                                        -
                                        327 {
                                        -
                                        328 auto model = loadModel(filename, model_type);
                                        -
                                        329 if (model == nullptr)
                                        -
                                        330 return NNFW_STATUS_ERROR;
                                        -
                                        331 _model_path = std::string(model_file_path);
                                        -
                                        332 _nnpkg = std::make_shared<onert::ir::NNPkg>(std::move(model));
                                        - -
                                        334 _train_info = loadTrainingInfo(_nnpkg->primary_model());
                                        -
                                        335 _state = State::MODEL_LOADED;
                                        -
                                        336 }
                                        -
                                        337 catch (const std::exception &e)
                                        -
                                        338 {
                                        -
                                        339 std::cerr << "Error during model loading : " << e.what() << std::endl;
                                        -
                                        340 return NNFW_STATUS_ERROR;
                                        -
                                        341 }
                                        - -
                                        343}
                                        -
                                        -
                                        344
                                        -
                                        - -
                                        346{
                                        -
                                        347 if (!isStateInitialized())
                                        - -
                                        349
                                        -
                                        350 if (!package_dir)
                                        +
                                        + +
                                        315{
                                        +
                                        316 if (!isStateInitialized())
                                        + +
                                        318
                                        +
                                        319 if (!model_file_path)
                                        +
                                        320 {
                                        +
                                        321 std::cerr << "Model file path is null." << std::endl;
                                        + +
                                        323 }
                                        +
                                        324
                                        +
                                        325 // Create quantize manager
                                        +
                                        326 _quant_manager = std::make_unique<onert::odc::QuantizeManager>(std::string(model_file_path));
                                        +
                                        327 // Create codegen manager
                                        +
                                        328 _codegen_manager = std::make_unique<onert::odc::CodegenManager>(std::string{model_file_path});
                                        +
                                        329
                                        +
                                        330 std::string filename{model_file_path};
                                        +
                                        331 // TODO: Use std::filesystem::path when we can use c++17.
                                        +
                                        332 auto dotidx = filename.find_last_of('.');
                                        +
                                        333 if (dotidx == std::string::npos)
                                        +
                                        334 {
                                        +
                                        335 std::cerr << "Invalid model file path. Please use file with extension." << std::endl;
                                        +
                                        336 return NNFW_STATUS_ERROR;
                                        +
                                        337 }
                                        +
                                        338 std::string model_type = filename.substr(dotidx + 1); // + 1 to exclude dot
                                        +
                                        339 try
                                        +
                                        340 {
                                        +
                                        341 auto model = loadModel(filename, model_type);
                                        +
                                        342 if (model == nullptr)
                                        +
                                        343 return NNFW_STATUS_ERROR;
                                        +
                                        344 _model_path = std::string(model_file_path);
                                        +
                                        345 _nnpkg = std::make_shared<onert::ir::NNPkg>(std::move(model));
                                        + +
                                        347 _train_info = loadTrainingInfo(_nnpkg->primary_model());
                                        +
                                        348 _state = State::MODEL_LOADED;
                                        +
                                        349 }
                                        +
                                        350 catch (const std::exception &e)
                                        351 {
                                        -
                                        352 std::cerr << "package_dir is null." << std::endl;
                                        - +
                                        352 std::cerr << "Error during model loading : " << e.what() << std::endl;
                                        +
                                        353 return NNFW_STATUS_ERROR;
                                        354 }
                                        -
                                        355
                                        -
                                        356 if (!null_terminating(package_dir, MAX_PATH_LENGTH))
                                        -
                                        357 {
                                        -
                                        358 std::cerr << "nnpackage path is too long" << std::endl;
                                        -
                                        359 return NNFW_STATUS_ERROR;
                                        -
                                        360 }
                                        -
                                        361
                                        -
                                        362 // TODO : add support for zipped package file load
                                        -
                                        363 DIR *dir;
                                        -
                                        364 if (!(dir = opendir(package_dir)))
                                        -
                                        365 {
                                        -
                                        366 std::cerr << "invalid nnpackge directory: " << package_dir << std::endl;
                                        -
                                        367 return NNFW_STATUS_ERROR;
                                        -
                                        368 }
                                        -
                                        369 closedir(dir);
                                        -
                                        370
                                        -
                                        371 try
                                        -
                                        372 {
                                        -
                                        373 std::string package_path(package_dir);
                                        -
                                        374 std::string manifest_file_name = package_path + "/metadata/MANIFEST";
                                        -
                                        375 std::ifstream mfs(manifest_file_name);
                                        -
                                        376
                                        -
                                        377 // extract the filename of the first(index 0) model
                                        -
                                        378 // e.g. In MANIFEST file, { "models" : [ "firstmodel.tflite", "2nd.tflite" ] }
                                        -
                                        379 Json::Value root;
                                        -
                                        380 mfs >> root;
                                        -
                                        381 const Json::Value &models = root["models"];
                                        -
                                        382 const Json::Value &model_types = root["model-types"];
                                        -
                                        383 const Json::Value &configs = root["configs"];
                                        -
                                        384
                                        -
                                        385 if (!configs.empty() && !configs[0].empty())
                                        -
                                        386 {
                                        -
                                        387 auto filepath = package_path + std::string("/metadata/") + configs[0].asString();
                                        -
                                        388
                                        - -
                                        390 if (loadConfigure(filepath, keyValues))
                                        -
                                        391 {
                                        - -
                                        393 }
                                        -
                                        394 }
                                        -
                                        395 _nnpkg = std::make_shared<onert::ir::NNPkg>();
                                        -
                                        396 auto num_models = models.size();
                                        -
                                        397 if (num_models == 0 || (num_models - 1) > onert::ir::ModelIndex::max())
                                        -
                                        398 {
                                        -
                                        399 std::cerr << "Invalid model size - " << std::to_string(num_models) << std::endl;
                                        -
                                        400 return NNFW_STATUS_ERROR;
                                        -
                                        401 }
                                        -
                                        402
                                        -
                                        403 // Create quantize manager
                                        -
                                        404 // TODO Support multiple models
                                        -
                                        405 auto const model_filename = package_path + std::string("/") + models[0].asString();
                                        -
                                        406 _quant_manager = std::make_unique<onert::odc::QuantizeManager>(model_filename);
                                        -
                                        407
                                        -
                                        408 for (uint16_t i = 0; i < num_models; ++i)
                                        -
                                        409 {
                                        -
                                        410 auto model_file_path = package_path + std::string("/") + models[i].asString();
                                        -
                                        411 auto model_type = model_types[i].asString();
                                        -
                                        412 auto model = loadModel(model_file_path, model_type);
                                        -
                                        413 if (model == nullptr)
                                        -
                                        414 return NNFW_STATUS_ERROR;
                                        -
                                        415 _model_path = std::string(model_file_path);
                                        -
                                        416 model->bindKernelBuilder(_kernel_registry->getBuilder());
                                        -
                                        417 _nnpkg->push(onert::ir::ModelIndex{i}, std::move(model));
                                        - -
                                        419 }
                                        -
                                        420 _train_info = loadTrainingInfo(_nnpkg->primary_model());
                                        -
                                        421
                                        -
                                        422 auto toIODesc = [](std::string str) {
                                        -
                                        423 auto indices = nnfw::misc::split(str, ':');
                                        -
                                        424 if (indices.size() != 3)
                                        -
                                        425 {
                                        -
                                        426 std::cerr << "IODesc should be 3-tuple." << std::endl;
                                        -
                                        427 return onert::ir::IODesc{};
                                        -
                                        428 }
                                        -
                                        429 auto model_idx = static_cast<uint32_t>(std::stoi(indices.at(0)));
                                        -
                                        430 auto subgraph_idx = static_cast<uint32_t>(std::stoi(indices.at(1)));
                                        -
                                        431 auto operand_idx = static_cast<uint32_t>(std::stoi(indices.at(2)));
                                        -
                                        432 return onert::ir::IODesc{model_idx, subgraph_idx, operand_idx};
                                        -
                                        433 };
                                        -
                                        434 // read pkg-inputs and pkg-outputs
                                        -
                                        435 const Json::Value &pkg_inputs = root["pkg-inputs"];
                                        -
                                        436 for (uint32_t i = 0; i < pkg_inputs.size(); ++i)
                                        -
                                        437 _nnpkg->addInput(toIODesc(pkg_inputs[i].asString()));
                                        -
                                        438 const Json::Value &pkg_outputs = root["pkg-outputs"];
                                        -
                                        439 for (uint32_t i = 0; i < pkg_outputs.size(); ++i)
                                        -
                                        440 _nnpkg->addOutput(toIODesc(pkg_outputs[i].asString()));
                                        -
                                        441 // read model-connect
                                        -
                                        442 const Json::Value &fromtos = root["model-connect"];
                                        -
                                        443 for (uint32_t i = 0; i < fromtos.size(); ++i)
                                        -
                                        444 {
                                        -
                                        445 const Json::Value &tos = fromtos[i]["to"];
                                        -
                                        446 for (uint32_t j = 0; j < tos.size(); ++j)
                                        -
                                        447 _nnpkg->addEdge(toIODesc(fromtos[i]["from"].asString()), toIODesc(tos[j].asString()));
                                        -
                                        448 }
                                        -
                                        449
                                        -
                                        450 _nnpkg->verify();
                                        -
                                        451 _state = State::MODEL_LOADED;
                                        -
                                        452 }
                                        -
                                        453 catch (const std::exception &e)
                                        -
                                        454 {
                                        -
                                        455 std::cerr << "Error during model loading : " << e.what() << std::endl;
                                        -
                                        456 return NNFW_STATUS_ERROR;
                                        -
                                        457 }
                                        - -
                                        459}
                                        + +
                                        356}
                                        -
                                        460
                                        -
                                        - -
                                        462{
                                        -
                                        463 // NOTE. If users want to run prepare() more than one time, this could be removed.
                                        -
                                        464 if (!isStateModelLoaded())
                                        -
                                        465 {
                                        -
                                        466 std::cerr << "Error during model prepare : ";
                                        -
                                        467 if (isStateInitialized())
                                        -
                                        468 {
                                        -
                                        469 std::cerr << "prepare should be run once";
                                        -
                                        470 }
                                        -
                                        471 else
                                        -
                                        472 {
                                        -
                                        473 std::cerr << "invalid state";
                                        -
                                        474 }
                                        -
                                        475 std::cerr << std::endl;
                                        - -
                                        477 }
                                        -
                                        478
                                        -
                                        479 try
                                        -
                                        480 {
                                        -
                                        481 auto compiler = onert::compiler::CompilerFactory::get().create(_nnpkg, _coptions);
                                        -
                                        482 _nnpkg.reset();
                                        -
                                        483 _compiler_artifact = compiler->compile();
                                        -
                                        484 _execution = std::make_unique<onert::exec::Execution>(_compiler_artifact->_executors);
                                        -
                                        485 }
                                        -
                                        486 catch (const std::exception &e)
                                        -
                                        487 {
                                        -
                                        488 std::cerr << "Error during model prepare : " << e.what() << std::endl;
                                        -
                                        489 return NNFW_STATUS_ERROR;
                                        -
                                        490 }
                                        -
                                        491
                                        -
                                        492 _state = State::PREPARED;
                                        - -
                                        494}
                                        +
                                        357
                                        +
                                        + +
                                        359{
                                        +
                                        360 if (!isStateInitialized())
                                        + +
                                        362
                                        +
                                        363 if (!package_dir)
                                        +
                                        364 {
                                        +
                                        365 std::cerr << "package_dir is null." << std::endl;
                                        + +
                                        367 }
                                        +
                                        368
                                        +
                                        369 if (!null_terminating(package_dir, MAX_PATH_LENGTH))
                                        +
                                        370 {
                                        +
                                        371 std::cerr << "nnpackage path is too long" << std::endl;
                                        +
                                        372 return NNFW_STATUS_ERROR;
                                        +
                                        373 }
                                        +
                                        374
                                        +
                                        375 // TODO : add support for zipped package file load
                                        +
                                        376 DIR *dir;
                                        +
                                        377 if (!(dir = opendir(package_dir)))
                                        +
                                        378 {
                                        +
                                        379 std::cerr << "invalid nnpackge directory: " << package_dir << std::endl;
                                        +
                                        380 return NNFW_STATUS_ERROR;
                                        +
                                        381 }
                                        +
                                        382 closedir(dir);
                                        +
                                        383
                                        +
                                        384 try
                                        +
                                        385 {
                                        +
                                        386 std::string package_path(package_dir);
                                        +
                                        387 std::string manifest_file_name = package_path + "/metadata/MANIFEST";
                                        +
                                        388 std::ifstream mfs(manifest_file_name);
                                        +
                                        389
                                        +
                                        390 // extract the filename of the first(index 0) model
                                        +
                                        391 // e.g. In MANIFEST file, { "models" : [ "firstmodel.tflite", "2nd.tflite" ] }
                                        +
                                        392 Json::Value root;
                                        +
                                        393 mfs >> root;
                                        +
                                        394 const Json::Value &models = root["models"];
                                        +
                                        395 const Json::Value &model_types = root["model-types"];
                                        +
                                        396 const Json::Value &configs = root["configs"];
                                        +
                                        397
                                        +
                                        398 if (!configs.empty() && !configs[0].empty())
                                        +
                                        399 {
                                        +
                                        400 auto filepath = package_path + std::string("/metadata/") + configs[0].asString();
                                        +
                                        401
                                        + +
                                        403 if (loadConfigure(filepath, keyValues))
                                        +
                                        404 {
                                        + +
                                        406 }
                                        +
                                        407 }
                                        +
                                        408 _nnpkg = std::make_shared<onert::ir::NNPkg>();
                                        +
                                        409 auto num_models = models.size();
                                        +
                                        410 if (num_models == 0 || (num_models - 1) > onert::ir::ModelIndex::max())
                                        +
                                        411 {
                                        +
                                        412 std::cerr << "Invalid model size - " << std::to_string(num_models) << std::endl;
                                        +
                                        413 return NNFW_STATUS_ERROR;
                                        +
                                        414 }
                                        +
                                        415
                                        +
                                        416 // Create quantize manager
                                        +
                                        417 // TODO Support multiple models
                                        +
                                        418 auto const model_filename = package_path + std::string("/") + models[0].asString();
                                        +
                                        419 _quant_manager = std::make_unique<onert::odc::QuantizeManager>(model_filename);
                                        +
                                        420 // Create codegen manager
                                        +
                                        421 _codegen_manager = std::make_unique<onert::odc::CodegenManager>(model_filename);
                                        +
                                        422
                                        +
                                        423 for (uint16_t i = 0; i < num_models; ++i)
                                        +
                                        424 {
                                        +
                                        425 auto model_file_path = package_path + std::string("/") + models[i].asString();
                                        +
                                        426 auto model_type = model_types[i].asString();
                                        +
                                        427 auto model = loadModel(model_file_path, model_type);
                                        +
                                        428 if (model == nullptr)
                                        +
                                        429 return NNFW_STATUS_ERROR;
                                        +
                                        430 _model_path = std::string(model_file_path);
                                        +
                                        431 model->bindKernelBuilder(_kernel_registry->getBuilder());
                                        +
                                        432 _nnpkg->push(onert::ir::ModelIndex{i}, std::move(model));
                                        + +
                                        434 }
                                        +
                                        435 _train_info = loadTrainingInfo(_nnpkg->primary_model());
                                        +
                                        436
                                        +
                                        437 auto toIODesc = [](std::string str) {
                                        +
                                        438 auto indices = nnfw::misc::split(str, ':');
                                        +
                                        439 if (indices.size() != 3)
                                        +
                                        440 {
                                        +
                                        441 std::cerr << "IODesc should be 3-tuple." << std::endl;
                                        +
                                        442 return onert::ir::IODesc{};
                                        +
                                        443 }
                                        +
                                        444 auto model_idx = static_cast<uint32_t>(std::stoi(indices.at(0)));
                                        +
                                        445 auto subgraph_idx = static_cast<uint32_t>(std::stoi(indices.at(1)));
                                        +
                                        446 auto operand_idx = static_cast<uint32_t>(std::stoi(indices.at(2)));
                                        +
                                        447 return onert::ir::IODesc{model_idx, subgraph_idx, operand_idx};
                                        +
                                        448 };
                                        +
                                        449 // read pkg-inputs and pkg-outputs
                                        +
                                        450 const Json::Value &pkg_inputs = root["pkg-inputs"];
                                        +
                                        451 for (uint32_t i = 0; i < pkg_inputs.size(); ++i)
                                        +
                                        452 _nnpkg->addInput(toIODesc(pkg_inputs[i].asString()));
                                        +
                                        453 const Json::Value &pkg_outputs = root["pkg-outputs"];
                                        +
                                        454 for (uint32_t i = 0; i < pkg_outputs.size(); ++i)
                                        +
                                        455 _nnpkg->addOutput(toIODesc(pkg_outputs[i].asString()));
                                        +
                                        456 // read model-connect
                                        +
                                        457 const Json::Value &fromtos = root["model-connect"];
                                        +
                                        458 for (uint32_t i = 0; i < fromtos.size(); ++i)
                                        +
                                        459 {
                                        +
                                        460 const Json::Value &tos = fromtos[i]["to"];
                                        +
                                        461 for (uint32_t j = 0; j < tos.size(); ++j)
                                        +
                                        462 _nnpkg->addEdge(toIODesc(fromtos[i]["from"].asString()), toIODesc(tos[j].asString()));
                                        +
                                        463 }
                                        +
                                        464
                                        +
                                        465 _nnpkg->verify();
                                        +
                                        466 _state = State::MODEL_LOADED;
                                        +
                                        467 }
                                        +
                                        468 catch (const std::exception &e)
                                        +
                                        469 {
                                        +
                                        470 std::cerr << "Error during model loading : " << e.what() << std::endl;
                                        +
                                        471 return NNFW_STATUS_ERROR;
                                        +
                                        472 }
                                        + +
                                        474}
                                        -
                                        495
                                        -
                                        - -
                                        497{
                                        -
                                        498 std::cerr << "Pipeline prepare_pipeline: deprecated feature " << std::endl;
                                        -
                                        499 return NNFW_STATUS_ERROR;
                                        -
                                        500}
                                        +
                                        475
                                        +
                                        + +
                                        477{
                                        +
                                        478 // NOTE. If users want to run prepare() more than one time, this could be removed.
                                        +
                                        479 if (!isStateModelLoaded())
                                        +
                                        480 {
                                        +
                                        481 std::cerr << "Error during model prepare : ";
                                        +
                                        482 if (isStateInitialized())
                                        +
                                        483 {
                                        +
                                        484 std::cerr << "prepare should be run once";
                                        +
                                        485 }
                                        +
                                        486 else
                                        +
                                        487 {
                                        +
                                        488 std::cerr << "invalid state";
                                        +
                                        489 }
                                        +
                                        490 std::cerr << std::endl;
                                        + +
                                        492 }
                                        +
                                        493
                                        +
                                        494 try
                                        +
                                        495 {
                                        +
                                        496 auto compiler = onert::compiler::CompilerFactory::get().create(_nnpkg, _coptions);
                                        +
                                        497 _nnpkg.reset();
                                        +
                                        498 _compiler_artifact = compiler->compile();
                                        +
                                        499 _execution = std::make_unique<onert::exec::Execution>(_compiler_artifact->_executors);
                                        +
                                        500 }
                                        +
                                        501 catch (const std::exception &e)
                                        +
                                        502 {
                                        +
                                        503 std::cerr << "Error during model prepare : " << e.what() << std::endl;
                                        +
                                        504 return NNFW_STATUS_ERROR;
                                        +
                                        505 }
                                        +
                                        506
                                        +
                                        507 _state = State::PREPARED;
                                        + +
                                        509}
                                        -
                                        501
                                        -
                                        - -
                                        503{
                                        -
                                        504 if (!isStatePreparedOrFinishedRun())
                                        -
                                        505 {
                                        -
                                        506 std::cerr << "Error during nnfw_session::run : "
                                        -
                                        507 << "run should be run after prepare" << std::endl;
                                        - -
                                        509 }
                                        510
                                        -
                                        511 try
                                        -
                                        512 {
                                        -
                                        513 _execution->execute();
                                        -
                                        514 }
                                        - -
                                        516 {
                                        -
                                        517 // Currently insufficient buffer always means output buffer.
                                        -
                                        518 std::cerr << "Error during nnfw_session::run : " << e.what() << std::endl;
                                        - -
                                        520 }
                                        -
                                        521 catch (const std::exception &e)
                                        -
                                        522 {
                                        -
                                        523 std::cerr << "Error during nnfw_session::run : " << e.what() << std::endl;
                                        -
                                        524 return NNFW_STATUS_ERROR;
                                        -
                                        525 }
                                        -
                                        526
                                        -
                                        527 _state = State::FINISHED_RUN;
                                        - -
                                        529}
                                        +
                                        + +
                                        512{
                                        +
                                        513 std::cerr << "Pipeline prepare_pipeline: deprecated feature " << std::endl;
                                        +
                                        514 return NNFW_STATUS_ERROR;
                                        +
                                        515}
                                        -
                                        530
                                        -
                                        - -
                                        532{
                                        -
                                        533 if (!isStatePreparedOrFinishedRun())
                                        -
                                        534 {
                                        -
                                        535 std::cerr << "Error during nnfw_session::run_async : "
                                        -
                                        536 << "run_async should be run after prepare" << std::endl;
                                        - -
                                        538 }
                                        -
                                        539
                                        -
                                        540 _execution->startExecute();
                                        +
                                        516
                                        +
                                        + +
                                        518{
                                        +
                                        519 if (!isStatePreparedOrFinishedRun())
                                        +
                                        520 {
                                        +
                                        521 std::cerr << "Error during nnfw_session::run : "
                                        +
                                        522 << "run should be run after prepare" << std::endl;
                                        + +
                                        524 }
                                        +
                                        525
                                        +
                                        526 try
                                        +
                                        527 {
                                        +
                                        528 _execution->execute();
                                        +
                                        529 }
                                        + +
                                        531 {
                                        +
                                        532 // Currently insufficient buffer always means output buffer.
                                        +
                                        533 std::cerr << "Error during nnfw_session::run : " << e.what() << std::endl;
                                        + +
                                        535 }
                                        +
                                        536 catch (const std::exception &e)
                                        +
                                        537 {
                                        +
                                        538 std::cerr << "Error during nnfw_session::run : " << e.what() << std::endl;
                                        +
                                        539 return NNFW_STATUS_ERROR;
                                        +
                                        540 }
                                        541
                                        -
                                        542 _state = State::RUNNING;
                                        +
                                        542 _state = State::FINISHED_RUN;
                                        544}
                                        545
                                        - +
                                        547{
                                        -
                                        548 if (!isStateRunning())
                                        +
                                        548 if (!isStatePreparedOrFinishedRun())
                                        549 {
                                        -
                                        550 std::cerr << "Error during nnfw_session::run_await : "
                                        -
                                        551 << "run_await should be run after run_async" << std::endl;
                                        -
                                        552 return NNFW_STATUS_ERROR;
                                        +
                                        550 std::cerr << "Error during nnfw_session::run_async : "
                                        +
                                        551 << "run_async should be run after prepare" << std::endl;
                                        +
                                        553 }
                                        554
                                        -
                                        555 _execution->waitFinish();
                                        +
                                        555 _execution->startExecute();
                                        556
                                        -
                                        557 _state = State::FINISHED_RUN;
                                        +
                                        557 _state = State::RUNNING;
                                        559}
                                        560
                                        -
                                        561NNFW_STATUS nnfw_session::set_input(uint32_t index, NNFW_TYPE /*type*/, const void *buffer,
                                        -
                                        562 size_t length)
                                        -
                                        563{
                                        -
                                        564 if (!isStatePreparedOrFinishedRun())
                                        -
                                        565 {
                                        -
                                        566 std::cerr << "Error during nnfw_session::set_input : invalid state" << std::endl;
                                        - + +
                                        562{
                                        +
                                        563 if (!isStateRunning())
                                        +
                                        564 {
                                        +
                                        565 std::cerr << "Error during nnfw_session::run_await : "
                                        +
                                        566 << "run_await should be run after run_async" << std::endl;
                                        +
                                        567 return NNFW_STATUS_ERROR;
                                        568 }
                                        569
                                        -
                                        570 if (!buffer && length != 0)
                                        -
                                        571 {
                                        -
                                        572 std::cerr
                                        -
                                        573 << "Error during nnfw_session::set_input : given buffer is NULL but the length is not 0"
                                        -
                                        574 << std::endl;
                                        -
                                        575 return NNFW_STATUS_ERROR;
                                        -
                                        576 }
                                        -
                                        577
                                        -
                                        578 try
                                        -
                                        579 {
                                        -
                                        580 _execution->setInput(onert::ir::IOIndex(index), buffer, length);
                                        -
                                        581 }
                                        -
                                        582 catch (const std::exception &e)
                                        -
                                        583 {
                                        -
                                        584 std::cerr << "Error during nnfw_session::set_input : " << e.what() << std::endl;
                                        -
                                        585 return NNFW_STATUS_ERROR;
                                        -
                                        586 }
                                        - -
                                        588}
                                        +
                                        570 _execution->waitFinish();
                                        +
                                        571
                                        +
                                        572 _state = State::FINISHED_RUN;
                                        + +
                                        574}
                                        -
                                        589
                                        -
                                        -
                                        590NNFW_STATUS nnfw_session::set_output(uint32_t index, NNFW_TYPE /*type*/, void *buffer,
                                        -
                                        591 size_t length)
                                        -
                                        592{
                                        -
                                        593 if (!isStatePreparedOrFinishedRun())
                                        +
                                        575
                                        +
                                        +
                                        576NNFW_STATUS nnfw_session::set_input(uint32_t index, NNFW_TYPE /*type*/, const void *buffer,
                                        +
                                        577 size_t length)
                                        +
                                        578{
                                        +
                                        579 if (!isStatePreparedOrFinishedRun())
                                        +
                                        580 {
                                        +
                                        581 std::cerr << "Error during nnfw_session::set_input : invalid state" << std::endl;
                                        + +
                                        583 }
                                        +
                                        584
                                        +
                                        585 if (!buffer && length != 0)
                                        +
                                        586 {
                                        +
                                        587 std::cerr
                                        +
                                        588 << "Error during nnfw_session::set_input : given buffer is NULL but the length is not 0"
                                        +
                                        589 << std::endl;
                                        +
                                        590 return NNFW_STATUS_ERROR;
                                        +
                                        591 }
                                        +
                                        592
                                        +
                                        593 try
                                        594 {
                                        -
                                        595 std::cerr << "Error during nnfw_session::set_output : invalid state" << std::endl;
                                        - -
                                        597 }
                                        -
                                        598
                                        -
                                        599 if (!buffer && length != 0)
                                        -
                                        600 {
                                        -
                                        601 std::cerr
                                        -
                                        602 << "Error during nnfw_session::set_output : given buffer is NULL but the length is not 0"
                                        -
                                        603 << std::endl;
                                        -
                                        604 return NNFW_STATUS_ERROR;
                                        -
                                        605 }
                                        -
                                        606
                                        -
                                        607 try
                                        -
                                        608 {
                                        -
                                        609 _execution->setOutput(onert::ir::IOIndex(index), buffer, length);
                                        -
                                        610 }
                                        -
                                        611 catch (const std::exception &e)
                                        -
                                        612 {
                                        -
                                        613 std::cerr << "Error during nnfw_session::set_output : " << e.what() << std::endl;
                                        -
                                        614 return NNFW_STATUS_ERROR;
                                        -
                                        615 }
                                        - -
                                        617}
                                        +
                                        595 _execution->setInput(onert::ir::IOIndex(index), buffer, length);
                                        +
                                        596 }
                                        +
                                        597 catch (const std::exception &e)
                                        +
                                        598 {
                                        +
                                        599 std::cerr << "Error during nnfw_session::set_input : " << e.what() << std::endl;
                                        +
                                        600 return NNFW_STATUS_ERROR;
                                        +
                                        601 }
                                        + +
                                        603}
                                        -
                                        618
                                        -
                                        - -
                                        620{
                                        -
                                        621 if (isStateInitialized()) // Model is not loaded
                                        - -
                                        623
                                        -
                                        624 try
                                        -
                                        625 {
                                        -
                                        626 if (number == nullptr)
                                        -
                                        627 {
                                        -
                                        628 std::cerr << "Error during nnfw_session::input_size, number is null pointer." << std::endl;
                                        - -
                                        630 }
                                        -
                                        631 *number = getInputSize();
                                        -
                                        632 }
                                        -
                                        633 catch (const std::exception &e)
                                        -
                                        634 {
                                        -
                                        635 std::cerr << "Error during nnfw_session::input_size : " << e.what() << std::endl;
                                        -
                                        636 return NNFW_STATUS_ERROR;
                                        -
                                        637 }
                                        - -
                                        639}
                                        +
                                        604
                                        +
                                        +
                                        605NNFW_STATUS nnfw_session::set_output(uint32_t index, NNFW_TYPE /*type*/, void *buffer,
                                        +
                                        606 size_t length)
                                        +
                                        607{
                                        +
                                        608 if (!isStatePreparedOrFinishedRun())
                                        +
                                        609 {
                                        +
                                        610 std::cerr << "Error during nnfw_session::set_output : invalid state" << std::endl;
                                        + +
                                        612 }
                                        +
                                        613
                                        +
                                        614 if (!buffer && length != 0)
                                        +
                                        615 {
                                        +
                                        616 std::cerr
                                        +
                                        617 << "Error during nnfw_session::set_output : given buffer is NULL but the length is not 0"
                                        +
                                        618 << std::endl;
                                        +
                                        619 return NNFW_STATUS_ERROR;
                                        +
                                        620 }
                                        +
                                        621
                                        +
                                        622 try
                                        +
                                        623 {
                                        +
                                        624 _execution->setOutput(onert::ir::IOIndex(index), buffer, length);
                                        +
                                        625 }
                                        +
                                        626 catch (const std::exception &e)
                                        +
                                        627 {
                                        +
                                        628 std::cerr << "Error during nnfw_session::set_output : " << e.what() << std::endl;
                                        +
                                        629 return NNFW_STATUS_ERROR;
                                        +
                                        630 }
                                        + +
                                        632}
                                        -
                                        640
                                        -
                                        - -
                                        642{
                                        -
                                        643 if (isStateInitialized()) // Model is not loaded
                                        - -
                                        645
                                        -
                                        646 try
                                        -
                                        647 {
                                        -
                                        648 if (number == nullptr)
                                        -
                                        649 {
                                        -
                                        650 std::cerr << "Error during nnfw_session::output_size, number is null pointer." << std::endl;
                                        - -
                                        652 }
                                        -
                                        653 *number = getOutputSize();
                                        -
                                        654 }
                                        -
                                        655 catch (const std::exception &e)
                                        -
                                        656 {
                                        -
                                        657 std::cerr << "Error during nnfw_session::output_size" << e.what() << std::endl;
                                        -
                                        658 return NNFW_STATUS_ERROR;
                                        -
                                        659 }
                                        - -
                                        661}
                                        +
                                        633
                                        +
                                        + +
                                        635{
                                        +
                                        636 if (isStateInitialized()) // Model is not loaded
                                        + +
                                        638
                                        +
                                        639 try
                                        +
                                        640 {
                                        +
                                        641 if (number == nullptr)
                                        +
                                        642 {
                                        +
                                        643 std::cerr << "Error during nnfw_session::input_size, number is null pointer." << std::endl;
                                        + +
                                        645 }
                                        +
                                        646 *number = getInputSize();
                                        +
                                        647 }
                                        +
                                        648 catch (const std::exception &e)
                                        +
                                        649 {
                                        +
                                        650 std::cerr << "Error during nnfw_session::input_size : " << e.what() << std::endl;
                                        +
                                        651 return NNFW_STATUS_ERROR;
                                        +
                                        652 }
                                        + +
                                        654}
                                        -
                                        662
                                        -
                                        - -
                                        664{
                                        -
                                        665 if (!isStatePreparedOrFinishedRun())
                                        -
                                        666 {
                                        -
                                        667 std::cerr << "Error during nnfw_session::set_input_layout : "
                                        -
                                        668 << "run should be run after prepare" << std::endl;
                                        - -
                                        670 }
                                        -
                                        671
                                        -
                                        672 try
                                        -
                                        673 {
                                        -
                                        674 if (layout != NNFW_LAYOUT_NONE && layout != NNFW_LAYOUT_CHANNELS_FIRST &&
                                        - -
                                        676 {
                                        -
                                        677 std::cerr << "Error during nnfw_session::set_input_layout, not supported layout" << std::endl;
                                        -
                                        678 return NNFW_STATUS_ERROR;
                                        -
                                        679 }
                                        -
                                        680
                                        -
                                        681 _execution->setInputLayout(onert::ir::IOIndex(index), convertLayout(layout));
                                        -
                                        682 }
                                        -
                                        683 catch (const std::exception &e)
                                        -
                                        684 {
                                        -
                                        685 std::cerr << "Error during nnfw_session::set_input_layout : " << e.what() << std::endl;
                                        -
                                        686 return NNFW_STATUS_ERROR;
                                        -
                                        687 }
                                        - -
                                        689}
                                        +
                                        655
                                        +
                                        + +
                                        657{
                                        +
                                        658 if (isStateInitialized()) // Model is not loaded
                                        + +
                                        660
                                        +
                                        661 try
                                        +
                                        662 {
                                        +
                                        663 if (number == nullptr)
                                        +
                                        664 {
                                        +
                                        665 std::cerr << "Error during nnfw_session::output_size, number is null pointer." << std::endl;
                                        + +
                                        667 }
                                        +
                                        668 *number = getOutputSize();
                                        +
                                        669 }
                                        +
                                        670 catch (const std::exception &e)
                                        +
                                        671 {
                                        +
                                        672 std::cerr << "Error during nnfw_session::output_size" << e.what() << std::endl;
                                        +
                                        673 return NNFW_STATUS_ERROR;
                                        +
                                        674 }
                                        + +
                                        676}
                                        -
                                        690
                                        -
                                        - -
                                        692{
                                        -
                                        693 if (!isStatePreparedOrFinishedRun())
                                        -
                                        694 {
                                        -
                                        695 std::cerr << "Error during nnfw_session::set_output_layout : "
                                        -
                                        696 << "run should be run after prepare" << std::endl;
                                        - -
                                        698 }
                                        -
                                        699
                                        -
                                        700 try
                                        -
                                        701 {
                                        -
                                        702 if (layout != NNFW_LAYOUT_NONE && layout != NNFW_LAYOUT_CHANNELS_FIRST &&
                                        - -
                                        704 {
                                        -
                                        705 std::cerr << "Error during nnfw_session::set_output_layout, not supported layout"
                                        -
                                        706 << std::endl;
                                        -
                                        707 return NNFW_STATUS_ERROR;
                                        -
                                        708 }
                                        -
                                        709
                                        -
                                        710 _execution->setOutputLayout(onert::ir::IOIndex(index), convertLayout(layout));
                                        -
                                        711 }
                                        -
                                        712 catch (const std::exception &e)
                                        -
                                        713 {
                                        -
                                        714 std::cerr << "Error during nnfw_session::set_output_layout : " << e.what() << std::endl;
                                        -
                                        715 return NNFW_STATUS_ERROR;
                                        -
                                        716 }
                                        - -
                                        718}
                                        +
                                        677
                                        +
                                        + +
                                        679{
                                        +
                                        680 if (!isStatePreparedOrFinishedRun())
                                        +
                                        681 {
                                        +
                                        682 std::cerr << "Error during nnfw_session::set_input_layout : "
                                        +
                                        683 << "run should be run after prepare" << std::endl;
                                        + +
                                        685 }
                                        +
                                        686
                                        +
                                        687 try
                                        +
                                        688 {
                                        +
                                        689 if (layout != NNFW_LAYOUT_NONE && layout != NNFW_LAYOUT_CHANNELS_FIRST &&
                                        + +
                                        691 {
                                        +
                                        692 std::cerr << "Error during nnfw_session::set_input_layout, not supported layout" << std::endl;
                                        +
                                        693 return NNFW_STATUS_ERROR;
                                        +
                                        694 }
                                        +
                                        695
                                        +
                                        696 _execution->setInputLayout(onert::ir::IOIndex(index), convertLayout(layout));
                                        +
                                        697 }
                                        +
                                        698 catch (const std::exception &e)
                                        +
                                        699 {
                                        +
                                        700 std::cerr << "Error during nnfw_session::set_input_layout : " << e.what() << std::endl;
                                        +
                                        701 return NNFW_STATUS_ERROR;
                                        +
                                        702 }
                                        + +
                                        704}
                                        -
                                        719
                                        -
                                        - -
                                        721{
                                        -
                                        722 // sanity check
                                        -
                                        723 {
                                        -
                                        724 if (isStateInitialized())
                                        -
                                        725 {
                                        -
                                        726 std::cerr << "Error during set_input_tensorinfo : should be run after load_model"
                                        -
                                        727 << std::endl;
                                        - -
                                        729 }
                                        -
                                        730
                                        -
                                        731 if (ti.rank <= 0 || ti.rank > NNFW_MAX_RANK)
                                        -
                                        732 {
                                        -
                                        733 std::cerr << "unsupported rank: " << ti.rank << std::endl;
                                        -
                                        734 return NNFW_STATUS_ERROR;
                                        -
                                        735 }
                                        -
                                        736
                                        -
                                        737 for (int32_t i = 0; i < ti.rank; ++i)
                                        -
                                        738 {
                                        -
                                        739 if (ti.dims[i] <= 0)
                                        -
                                        740 {
                                        -
                                        741 std::cerr << "dim must be positive integer but was " << ti.dims[i] << std::endl;
                                        -
                                        742 return NNFW_STATUS_ERROR;
                                        -
                                        743 }
                                        -
                                        744 }
                                        -
                                        745 }
                                        -
                                        746
                                        -
                                        747 onert::ir::Shape new_shape(ti.rank);
                                        -
                                        748 for (int32_t i = 0; i < ti.rank; i++)
                                        -
                                        749 new_shape.dim(i) = ti.dims[i];
                                        -
                                        750
                                        -
                                        751 if (!isStatePreparedOrFinishedRun())
                                        -
                                        752 {
                                        -
                                        753
                                        -
                                        754 // In this case, if we apply input shape, it will propagate after compilation and excution
                                        -
                                        755 _nnpkg->changeInputShape(index, new_shape);
                                        -
                                        756 }
                                        -
                                        757 else // when called after nnfw_session::prepare()
                                        -
                                        758 _execution->changeInputShape(onert::ir::IOIndex(index), new_shape);
                                        -
                                        759
                                        - -
                                        761}
                                        -
                                        -
                                        762
                                        -
                                        - -
                                        764{
                                        -
                                        765 nnfw_tensorinfo ti_copy = *ti;
                                        -
                                        766 return apply_tensorinfo(index, ti_copy);
                                        -
                                        767}
                                        +
                                        705
                                        +
                                        + +
                                        707{
                                        +
                                        708 if (!isStatePreparedOrFinishedRun())
                                        +
                                        709 {
                                        +
                                        710 std::cerr << "Error during nnfw_session::set_output_layout : "
                                        +
                                        711 << "run should be run after prepare" << std::endl;
                                        + +
                                        713 }
                                        +
                                        714
                                        +
                                        715 try
                                        +
                                        716 {
                                        +
                                        717 if (layout != NNFW_LAYOUT_NONE && layout != NNFW_LAYOUT_CHANNELS_FIRST &&
                                        + +
                                        719 {
                                        +
                                        720 std::cerr << "Error during nnfw_session::set_output_layout, not supported layout"
                                        +
                                        721 << std::endl;
                                        +
                                        722 return NNFW_STATUS_ERROR;
                                        +
                                        723 }
                                        +
                                        724
                                        +
                                        725 _execution->setOutputLayout(onert::ir::IOIndex(index), convertLayout(layout));
                                        +
                                        726 }
                                        +
                                        727 catch (const std::exception &e)
                                        +
                                        728 {
                                        +
                                        729 std::cerr << "Error during nnfw_session::set_output_layout : " << e.what() << std::endl;
                                        +
                                        730 return NNFW_STATUS_ERROR;
                                        +
                                        731 }
                                        + +
                                        733}
                                        +
                                        734
                                        +
                                        + +
                                        736{
                                        +
                                        737 // sanity check
                                        +
                                        738 {
                                        +
                                        739 if (isStateInitialized())
                                        +
                                        740 {
                                        +
                                        741 std::cerr << "Error during set_input_tensorinfo : should be run after load_model"
                                        +
                                        742 << std::endl;
                                        + +
                                        744 }
                                        +
                                        745
                                        +
                                        746 if (ti.rank <= 0 || ti.rank > NNFW_MAX_RANK)
                                        +
                                        747 {
                                        +
                                        748 std::cerr << "unsupported rank: " << ti.rank << std::endl;
                                        +
                                        749 return NNFW_STATUS_ERROR;
                                        +
                                        750 }
                                        +
                                        751
                                        +
                                        752 for (int32_t i = 0; i < ti.rank; ++i)
                                        +
                                        753 {
                                        +
                                        754 if (ti.dims[i] <= 0)
                                        +
                                        755 {
                                        +
                                        756 std::cerr << "dim must be positive integer but was " << ti.dims[i] << std::endl;
                                        +
                                        757 return NNFW_STATUS_ERROR;
                                        +
                                        758 }
                                        +
                                        759 }
                                        +
                                        760 }
                                        +
                                        761
                                        +
                                        762 onert::ir::Shape new_shape(ti.rank);
                                        +
                                        763 for (int32_t i = 0; i < ti.rank; i++)
                                        +
                                        764 new_shape.dim(i) = ti.dims[i];
                                        +
                                        765
                                        +
                                        766 if (!isStatePreparedOrFinishedRun())
                                        +
                                        767 {
                                        768
                                        -
                                        - -
                                        770{
                                        -
                                        771 if (isStateInitialized())
                                        - -
                                        773
                                        -
                                        774 try
                                        -
                                        775 {
                                        -
                                        776 if (ti == nullptr)
                                        -
                                        777 {
                                        -
                                        778 std::cerr << "Error during nnfw_session::input_tensorinfo, tensorinfo is null pointer."
                                        -
                                        779 << std::endl;
                                        - -
                                        781 }
                                        -
                                        782
                                        -
                                        783 if (index >= getInputSize())
                                        -
                                        784 {
                                        -
                                        785 std::cerr << "Error during nnfw_session::input_tensorinfo, index is out of range."
                                        -
                                        786 << std::endl;
                                        -
                                        787 return NNFW_STATUS_ERROR;
                                        -
                                        788 }
                                        -
                                        789
                                        -
                                        790 if (isStateModelLoaded())
                                        -
                                        791 {
                                        -
                                        792 auto info = _nnpkg->inputInfo(index);
                                        -
                                        793 fillTensorInfo(ti, info.shape(), info.typeInfo().type());
                                        -
                                        794 }
                                        -
                                        795 else
                                        -
                                        796 {
                                        -
                                        797 auto io_index = onert::ir::IOIndex{index};
                                        -
                                        798 auto shape = _execution->getInputShape(io_index);
                                        -
                                        799 auto dtype = _compiler_artifact->_executors->inputInfo(io_index).typeInfo().type();
                                        -
                                        800 fillTensorInfo(ti, shape, dtype);
                                        -
                                        801 }
                                        -
                                        802 }
                                        -
                                        803 catch (const std::exception &e)
                                        -
                                        804 {
                                        -
                                        805 std::cerr << "Error during nnfw_session::input_tensorinfo : " << e.what() << std::endl;
                                        -
                                        806 return NNFW_STATUS_ERROR;
                                        -
                                        807 }
                                        - -
                                        809}
                                        -
                                        -
                                        810
                                        -
                                        - -
                                        812{
                                        -
                                        813 if (isStateInitialized())
                                        - -
                                        815
                                        -
                                        816 if (ti == nullptr)
                                        -
                                        817 {
                                        -
                                        818 std::cerr << "Error during nnfw_session::output_tensorinfo, tensorinfo is null pointer."
                                        -
                                        819 << std::endl;
                                        - -
                                        821 }
                                        -
                                        822
                                        -
                                        823 try
                                        -
                                        824 {
                                        -
                                        825 if (index >= getOutputSize())
                                        -
                                        826 {
                                        -
                                        827 std::cerr << "Error during nnfw_session::output_tensorinfo, index is out of range."
                                        -
                                        828 << std::endl;
                                        -
                                        829 return NNFW_STATUS_ERROR;
                                        -
                                        830 }
                                        -
                                        831
                                        -
                                        832 if (isStateModelLoaded())
                                        -
                                        833 {
                                        -
                                        834 auto info = _nnpkg->outputInfo(index);
                                        -
                                        835 fillTensorInfo(ti, info.shape(), info.typeInfo().type());
                                        -
                                        836 }
                                        -
                                        837 else
                                        -
                                        838 {
                                        -
                                        839 auto io_index = onert::ir::IOIndex{index};
                                        -
                                        840 auto shape = _execution->getOutputShape(io_index);
                                        -
                                        841 auto dtype = _compiler_artifact->_executors->outputInfo(io_index).typeInfo().type();
                                        -
                                        842 fillTensorInfo(ti, shape, dtype);
                                        -
                                        843 }
                                        -
                                        844 }
                                        -
                                        845 catch (const std::exception &e)
                                        -
                                        846 {
                                        -
                                        847 std::cerr << "Error during nnfw_session::output_tensorinfo : " << e.what() << std::endl;
                                        -
                                        848 return NNFW_STATUS_ERROR;
                                        -
                                        849 }
                                        -
                                        850
                                        - -
                                        852}
                                        +
                                        769 // In this case, if we apply input shape, it will propagate after compilation and excution
                                        +
                                        770 _nnpkg->changeInputShape(index, new_shape);
                                        +
                                        771 }
                                        +
                                        772 else // when called after nnfw_session::prepare()
                                        +
                                        773 _execution->changeInputShape(onert::ir::IOIndex(index), new_shape);
                                        +
                                        774
                                        + +
                                        776}
                                        -
                                        853
                                        -
                                        -
                                        854NNFW_STATUS nnfw_session::push_pipeline_input(std::vector<void *> *, std::vector<uint32_t> *)
                                        -
                                        855{
                                        -
                                        856 std::cerr << "Pipeline push_pipeline_input: deprecated feature " << std::endl;
                                        -
                                        857 return NNFW_STATUS_ERROR;
                                        -
                                        858}
                                        +
                                        777
                                        +
                                        + +
                                        779{
                                        +
                                        780 nnfw_tensorinfo ti_copy = *ti;
                                        +
                                        781 return apply_tensorinfo(index, ti_copy);
                                        +
                                        782}
                                        -
                                        859
                                        -
                                        - -
                                        861{
                                        -
                                        862 std::cerr << "Pipeline pop_pipeline_output: deprecated feature " << std::endl;
                                        -
                                        863 return NNFW_STATUS_ERROR;
                                        -
                                        864}
                                        +
                                        783
                                        +
                                        + +
                                        785{
                                        +
                                        786 if (isStateInitialized())
                                        + +
                                        788
                                        +
                                        789 try
                                        +
                                        790 {
                                        +
                                        791 if (ti == nullptr)
                                        +
                                        792 {
                                        +
                                        793 std::cerr << "Error during nnfw_session::input_tensorinfo, tensorinfo is null pointer."
                                        +
                                        794 << std::endl;
                                        + +
                                        796 }
                                        +
                                        797
                                        +
                                        798 if (index >= getInputSize())
                                        +
                                        799 {
                                        +
                                        800 std::cerr << "Error during nnfw_session::input_tensorinfo, index is out of range."
                                        +
                                        801 << std::endl;
                                        +
                                        802 return NNFW_STATUS_ERROR;
                                        +
                                        803 }
                                        +
                                        804
                                        +
                                        805 if (isStateModelLoaded())
                                        +
                                        806 {
                                        +
                                        807 auto info = _nnpkg->inputInfo(index);
                                        +
                                        808 fillTensorInfo(ti, info.shape(), info.typeInfo().type());
                                        +
                                        809 }
                                        +
                                        810 else
                                        +
                                        811 {
                                        +
                                        812 auto io_index = onert::ir::IOIndex{index};
                                        +
                                        813 auto shape = _execution->getInputShape(io_index);
                                        +
                                        814 auto dtype = _compiler_artifact->_executors->inputInfo(io_index).typeInfo().type();
                                        +
                                        815 fillTensorInfo(ti, shape, dtype);
                                        +
                                        816 }
                                        +
                                        817 }
                                        +
                                        818 catch (const std::exception &e)
                                        +
                                        819 {
                                        +
                                        820 std::cerr << "Error during nnfw_session::input_tensorinfo : " << e.what() << std::endl;
                                        +
                                        821 return NNFW_STATUS_ERROR;
                                        +
                                        822 }
                                        + +
                                        824}
                                        +
                                        825
                                        +
                                        + +
                                        827{
                                        +
                                        828 if (isStateInitialized())
                                        + +
                                        830
                                        +
                                        831 if (ti == nullptr)
                                        +
                                        832 {
                                        +
                                        833 std::cerr << "Error during nnfw_session::output_tensorinfo, tensorinfo is null pointer."
                                        +
                                        834 << std::endl;
                                        + +
                                        836 }
                                        +
                                        837
                                        +
                                        838 try
                                        +
                                        839 {
                                        +
                                        840 if (index >= getOutputSize())
                                        +
                                        841 {
                                        +
                                        842 std::cerr << "Error during nnfw_session::output_tensorinfo, index is out of range."
                                        +
                                        843 << std::endl;
                                        +
                                        844 return NNFW_STATUS_ERROR;
                                        +
                                        845 }
                                        +
                                        846
                                        +
                                        847 if (isStateModelLoaded())
                                        +
                                        848 {
                                        +
                                        849 auto info = _nnpkg->outputInfo(index);
                                        +
                                        850 fillTensorInfo(ti, info.shape(), info.typeInfo().type());
                                        +
                                        851 }
                                        +
                                        852 else
                                        +
                                        853 {
                                        +
                                        854 auto io_index = onert::ir::IOIndex{index};
                                        +
                                        855 auto shape = _execution->getOutputShape(io_index);
                                        +
                                        856 auto dtype = _compiler_artifact->_executors->outputInfo(io_index).typeInfo().type();
                                        +
                                        857 fillTensorInfo(ti, shape, dtype);
                                        +
                                        858 }
                                        +
                                        859 }
                                        +
                                        860 catch (const std::exception &e)
                                        +
                                        861 {
                                        +
                                        862 std::cerr << "Error during nnfw_session::output_tensorinfo : " << e.what() << std::endl;
                                        +
                                        863 return NNFW_STATUS_ERROR;
                                        +
                                        864 }
                                        865
                                        -
                                        - -
                                        867 nnfw_custom_eval eval_func)
                                        -
                                        868{
                                        -
                                        869 _kernel_registry->registerKernel(id, eval_func);
                                        - -
                                        871}
                                        + +
                                        867}
                                        +
                                        +
                                        868
                                        +
                                        +
                                        869NNFW_STATUS nnfw_session::push_pipeline_input(std::vector<void *> *, std::vector<uint32_t> *)
                                        +
                                        870{
                                        +
                                        871 std::cerr << "Pipeline push_pipeline_input: deprecated feature " << std::endl;
                                        +
                                        872 return NNFW_STATUS_ERROR;
                                        +
                                        873}
                                        +
                                        +
                                        874
                                        +
                                        + +
                                        876{
                                        +
                                        877 std::cerr << "Pipeline pop_pipeline_output: deprecated feature " << std::endl;
                                        +
                                        878 return NNFW_STATUS_ERROR;
                                        +
                                        879}
                                        -
                                        872
                                        -
                                        873static std::string get_op_backend_string(std::string op)
                                        -
                                        874{
                                        -
                                        875#define MAP_MACRO(CircleName, OneRTName) {#CircleName, #OneRTName},
                                        -
                                        876
                                        -
                                        877 static std::unordered_map<std::string, std::string> operation_map = {
                                        -
                                        878#include "OpMap.lst"
                                        -
                                        879 };
                                        880
                                        -
                                        881#undef MAP_MACRO
                                        -
                                        882
                                        -
                                        883 auto n = operation_map.find(op);
                                        -
                                        884
                                        -
                                        885 if (n == operation_map.end())
                                        -
                                        886 {
                                        -
                                        887 // this return value is handled by a caller to return error code
                                        -
                                        888 return std::string("");
                                        -
                                        889 }
                                        -
                                        890 else
                                        -
                                        891 {
                                        -
                                        892 return n->second;
                                        -
                                        893 }
                                        -
                                        894}
                                        -
                                        895
                                        -
                                        - -
                                        897{
                                        -
                                        898 if (!isStateModelLoaded())
                                        - -
                                        900
                                        -
                                        901 try
                                        -
                                        902 {
                                        -
                                        903 if (!backends)
                                        - -
                                        905 if (null_terminating(backends, MAX_BACKEND_NAME_LENGTH) == false)
                                        -
                                        906 return NNFW_STATUS_ERROR;
                                        -
                                        907
                                        -
                                        908 auto &options = *_coptions[0];
                                        -
                                        909
                                        -
                                        910 using namespace onert::util;
                                        -
                                        911
                                        -
                                        912 options.backend_list = nnfw::misc::split(std::string{backends}, ';');
                                        -
                                        913 }
                                        -
                                        914 catch (const std::exception &e)
                                        -
                                        915 {
                                        -
                                        916 std::cerr << "Error during nnfw_session::set_available_backends : " << e.what() << std::endl;
                                        -
                                        917 return NNFW_STATUS_ERROR;
                                        -
                                        918 }
                                        - -
                                        920}
                                        +
                                        + +
                                        882 nnfw_custom_eval eval_func)
                                        +
                                        883{
                                        +
                                        884 _kernel_registry->registerKernel(id, eval_func);
                                        + +
                                        886}
                                        -
                                        921
                                        -
                                        -
                                        922NNFW_STATUS nnfw_session::set_op_backend(const char *op, const char *backend)
                                        -
                                        923{
                                        -
                                        924 if (!isStateModelLoaded())
                                        - +
                                        887
                                        +
                                        888static std::string get_op_backend_string(std::string op)
                                        +
                                        889{
                                        +
                                        890#define MAP_MACRO(CircleName, OneRTName) {#CircleName, #OneRTName},
                                        +
                                        891
                                        +
                                        892 static std::unordered_map<std::string, std::string> operation_map = {
                                        +
                                        893#include "OpMap.lst"
                                        +
                                        894 };
                                        +
                                        895
                                        +
                                        896#undef MAP_MACRO
                                        +
                                        897
                                        +
                                        898 auto n = operation_map.find(op);
                                        +
                                        899
                                        +
                                        900 if (n == operation_map.end())
                                        +
                                        901 {
                                        +
                                        902 // this return value is handled by a caller to return error code
                                        +
                                        903 return std::string("");
                                        +
                                        904 }
                                        +
                                        905 else
                                        +
                                        906 {
                                        +
                                        907 return n->second;
                                        +
                                        908 }
                                        +
                                        909}
                                        +
                                        910
                                        +
                                        + +
                                        912{
                                        +
                                        913 if (!isStateModelLoaded())
                                        + +
                                        915
                                        +
                                        916 try
                                        +
                                        917 {
                                        +
                                        918 if (!backends)
                                        + +
                                        920 if (null_terminating(backends, MAX_BACKEND_NAME_LENGTH) == false)
                                        +
                                        921 return NNFW_STATUS_ERROR;
                                        +
                                        922
                                        +
                                        923 auto &options = *_coptions[0];
                                        +
                                        924
                                        +
                                        925 using namespace onert::util;
                                        926
                                        -
                                        927 try
                                        -
                                        928 {
                                        -
                                        929 if (!op || !backend)
                                        - -
                                        931 if (!null_terminating(op, MAX_OP_NAME_LENGTH) ||
                                        -
                                        932 !null_terminating(backend, MAX_BACKEND_NAME_LENGTH))
                                        -
                                        933 return NNFW_STATUS_ERROR;
                                        -
                                        934
                                        -
                                        935 auto key = get_op_backend_string(op);
                                        +
                                        927 options.backend_list = nnfw::misc::split(std::string{backends}, ';');
                                        +
                                        928 }
                                        +
                                        929 catch (const std::exception &e)
                                        +
                                        930 {
                                        +
                                        931 std::cerr << "Error during nnfw_session::set_available_backends : " << e.what() << std::endl;
                                        +
                                        932 return NNFW_STATUS_ERROR;
                                        +
                                        933 }
                                        + +
                                        935}
                                        +
                                        936
                                        -
                                        937 if (key.empty())
                                        -
                                        938 {
                                        -
                                        939 return NNFW_STATUS_ERROR;
                                        -
                                        940 }
                                        +
                                        +
                                        937NNFW_STATUS nnfw_session::set_op_backend(const char *op, const char *backend)
                                        +
                                        938{
                                        +
                                        939 if (!isStateModelLoaded())
                                        +
                                        941
                                        -
                                        942 auto &opcode_to_backend = _coptions[0]->manual_scheduler_options.opcode_to_backend;
                                        -
                                        943 opcode_to_backend.emplace(onert::ir::toOpCode(key), backend);
                                        -
                                        944 }
                                        -
                                        945 catch (const std::exception &e)
                                        -
                                        946 {
                                        -
                                        947 std::cerr << "Error during nnfw_session::set_op_backend : " << e.what() << std::endl;
                                        -
                                        948 return NNFW_STATUS_ERROR;
                                        -
                                        949 }
                                        - -
                                        951}
                                        -
                                        -
                                        952
                                        -
                                        -
                                        953NNFW_STATUS nnfw_session::set_config(const char *key, const char *value)
                                        -
                                        954{
                                        -
                                        955 if (!isStateModelLoaded())
                                        - -
                                        957
                                        -
                                        958 if (!key || !value)
                                        - -
                                        960
                                        -
                                        961 auto &options = *_coptions[0];
                                        -
                                        962
                                        -
                                        963 using namespace onert::util;
                                        -
                                        964
                                        -
                                        965 const std::string skey = key;
                                        -
                                        966
                                        -
                                        967 if (skey == config::TRACE_FILEPATH)
                                        -
                                        968 {
                                        -
                                        969 options.trace_filepath = value;
                                        -
                                        970 }
                                        -
                                        971 else if (skey == config::GRAPH_DOT_DUMP)
                                        -
                                        972 {
                                        -
                                        973 options.graph_dump_level = toInt(value);
                                        -
                                        974 }
                                        -
                                        975 else if (skey == config::EXECUTOR)
                                        -
                                        976 {
                                        -
                                        977 options.executor = value;
                                        -
                                        978 }
                                        -
                                        979 else if (skey == config::OP_BACKEND_ALLOPS)
                                        -
                                        980 {
                                        -
                                        981 options.manual_scheduler_options.backend_for_all = value;
                                        -
                                        982 }
                                        -
                                        983 else if (skey == config::USE_SCHEDULER)
                                        -
                                        984 {
                                        -
                                        985 options.he_scheduler = toBool(value);
                                        -
                                        986 }
                                        -
                                        987 else if (skey == config::PROFILING_MODE)
                                        -
                                        988 {
                                        -
                                        989 options.he_profiling_mode = toBool(value);
                                        -
                                        990 }
                                        -
                                        991 else
                                        -
                                        992 {
                                        -
                                        993 return NNFW_STATUS_ERROR;
                                        -
                                        994 }
                                        - -
                                        996}
                                        +
                                        942 try
                                        +
                                        943 {
                                        +
                                        944 if (!op || !backend)
                                        + +
                                        946 if (!null_terminating(op, MAX_OP_NAME_LENGTH) ||
                                        +
                                        947 !null_terminating(backend, MAX_BACKEND_NAME_LENGTH))
                                        +
                                        948 return NNFW_STATUS_ERROR;
                                        +
                                        949
                                        +
                                        950 auto key = get_op_backend_string(op);
                                        +
                                        951
                                        +
                                        952 if (key.empty())
                                        +
                                        953 {
                                        +
                                        954 return NNFW_STATUS_ERROR;
                                        +
                                        955 }
                                        +
                                        956
                                        +
                                        957 auto &opcode_to_backend = _coptions[0]->manual_scheduler_options.opcode_to_backend;
                                        +
                                        958 opcode_to_backend.emplace(onert::ir::toOpCode(key), backend);
                                        +
                                        959 }
                                        +
                                        960 catch (const std::exception &e)
                                        +
                                        961 {
                                        +
                                        962 std::cerr << "Error during nnfw_session::set_op_backend : " << e.what() << std::endl;
                                        +
                                        963 return NNFW_STATUS_ERROR;
                                        +
                                        964 }
                                        + +
                                        966}
                                        -
                                        997
                                        -
                                        998const onert::ir::IGraph *nnfw_session::primary_subgraph()
                                        -
                                        999{
                                        -
                                        1000 if (_nnpkg != nullptr)
                                        -
                                        1001 {
                                        -
                                        1002 assert(_execution == nullptr);
                                        -
                                        1003 return _nnpkg->primary_model()->primary_subgraph().get();
                                        -
                                        1004 }
                                        -
                                        1005 else
                                        -
                                        1006 {
                                        -
                                        1007 assert(_execution != nullptr);
                                        -
                                        1008 // We assumed the graph will not change after compilation, but shape could change
                                        -
                                        1009 return &_execution->primary_subgraph();
                                        -
                                        1010 }
                                        +
                                        967
                                        +
                                        +
                                        968NNFW_STATUS nnfw_session::set_config(const char *key, const char *value)
                                        +
                                        969{
                                        +
                                        970 if (!isStateModelLoaded())
                                        + +
                                        972
                                        +
                                        973 if (!key || !value)
                                        + +
                                        975
                                        +
                                        976 auto &options = *_coptions[0];
                                        +
                                        977
                                        +
                                        978 using namespace onert::util;
                                        +
                                        979
                                        +
                                        980 const std::string skey = key;
                                        +
                                        981
                                        +
                                        982 if (skey == config::TRACE_FILEPATH)
                                        +
                                        983 {
                                        +
                                        984 options.trace_filepath = value;
                                        +
                                        985 }
                                        +
                                        986 else if (skey == config::GRAPH_DOT_DUMP)
                                        +
                                        987 {
                                        +
                                        988 options.graph_dump_level = toInt(value);
                                        +
                                        989 }
                                        +
                                        990 else if (skey == config::EXECUTOR)
                                        +
                                        991 {
                                        +
                                        992 options.executor = value;
                                        +
                                        993 }
                                        +
                                        994 else if (skey == config::OP_BACKEND_ALLOPS)
                                        +
                                        995 {
                                        +
                                        996 options.manual_scheduler_options.backend_for_all = value;
                                        +
                                        997 }
                                        +
                                        998 else if (skey == config::USE_SCHEDULER)
                                        +
                                        999 {
                                        +
                                        1000 options.he_scheduler = toBool(value);
                                        +
                                        1001 }
                                        +
                                        1002 else if (skey == config::PROFILING_MODE)
                                        +
                                        1003 {
                                        +
                                        1004 options.he_profiling_mode = toBool(value);
                                        +
                                        1005 }
                                        +
                                        1006 else
                                        +
                                        1007 {
                                        +
                                        1008 return NNFW_STATUS_ERROR;
                                        +
                                        1009 }
                                        +
                                        1010 return NNFW_STATUS_NO_ERROR;
                                        1011}
                                        +
                                        1012
                                        -
                                        1013uint32_t nnfw_session::getInputSize()
                                        +
                                        1013const onert::ir::IGraph *nnfw_session::primary_subgraph()
                                        1014{
                                        -
                                        1015 if (isStateInitialized())
                                        -
                                        1016 throw std::runtime_error{"Model is not loaded yet"};
                                        -
                                        1017
                                        -
                                        1018 if (isStateModelLoaded())
                                        -
                                        1019 return _nnpkg->inputSize();
                                        -
                                        1020
                                        -
                                        1021 // Session is prepared (general inference)
                                        -
                                        1022 return _compiler_artifact->_executors->inputSize();
                                        -
                                        1023}
                                        -
                                        1024
                                        -
                                        1025uint32_t nnfw_session::getOutputSize()
                                        -
                                        1026{
                                        -
                                        1027 if (isStateInitialized())
                                        -
                                        1028 throw std::runtime_error{"Model is not loaded yet"};
                                        -
                                        1029
                                        -
                                        1030 if (isStateModelLoaded())
                                        -
                                        1031 return _nnpkg->outputSize();
                                        +
                                        1015 if (_nnpkg != nullptr)
                                        +
                                        1016 {
                                        +
                                        1017 assert(_execution == nullptr);
                                        +
                                        1018 return _nnpkg->primary_model()->primary_subgraph().get();
                                        +
                                        1019 }
                                        +
                                        1020 else
                                        +
                                        1021 {
                                        +
                                        1022 assert(_execution != nullptr);
                                        +
                                        1023 // We assumed the graph will not change after compilation, but shape could change
                                        +
                                        1024 return &_execution->primary_subgraph();
                                        +
                                        1025 }
                                        +
                                        1026}
                                        +
                                        1027
                                        +
                                        1028uint32_t nnfw_session::getInputSize()
                                        +
                                        1029{
                                        +
                                        1030 if (isStateInitialized())
                                        +
                                        1031 throw std::runtime_error{"Model is not loaded yet"};
                                        1032
                                        -
                                        1033 // Session is prepared (general inference)
                                        -
                                        1034 return _compiler_artifact->_executors->outputSize();
                                        -
                                        1035}
                                        -
                                        1036
                                        -
                                        -
                                        1037NNFW_STATUS nnfw_session::get_config(const char *key, char *value, size_t value_size)
                                        -
                                        1038{
                                        -
                                        1039 if (!isStateModelLoaded())
                                        - -
                                        1041
                                        -
                                        1042 if (!key || !value)
                                        - +
                                        1033 if (isStateModelLoaded())
                                        +
                                        1034 return _nnpkg->inputSize();
                                        +
                                        1035
                                        +
                                        1036 // Session is prepared (general inference)
                                        +
                                        1037 return _compiler_artifact->_executors->inputSize();
                                        +
                                        1038}
                                        +
                                        1039
                                        +
                                        1040uint32_t nnfw_session::getOutputSize()
                                        +
                                        1041{
                                        +
                                        1042 if (isStateInitialized())
                                        +
                                        1043 throw std::runtime_error{"Model is not loaded yet"};
                                        1044
                                        -
                                        1045 auto &options = *_coptions[0];
                                        -
                                        1046
                                        -
                                        1047 auto check_boundary = [](size_t dest_size, std::string &src) {
                                        -
                                        1048 if (dest_size < src.length() + 1 /* for '\0' */)
                                        -
                                        1049 {
                                        -
                                        1050 std::cerr << "buffer is small to copy config value." << std::endl;
                                        -
                                        1051 return false;
                                        -
                                        1052 }
                                        -
                                        1053 return true;
                                        -
                                        1054 };
                                        -
                                        1055
                                        -
                                        1056 const std::string skey = key;
                                        -
                                        1057
                                        -
                                        1058 if (skey == onert::util::config::BACKENDS)
                                        -
                                        1059 {
                                        -
                                        1060 if (options.backend_list.size() == 0)
                                        -
                                        1061 return NNFW_STATUS_NO_ERROR; // no setting backend is not an error of get_config_str()
                                        -
                                        1062
                                        -
                                        1063 auto str = nnfw::misc::join(options.backend_list.begin(), options.backend_list.end(), ";");
                                        -
                                        1064
                                        -
                                        1065 if (!check_boundary(value_size, str))
                                        -
                                        1066 return NNFW_STATUS_ERROR;
                                        -
                                        1067
                                        -
                                        1068 strncpy(value, str.c_str(), value_size);
                                        -
                                        1069 }
                                        -
                                        1070 else if (skey == onert::util::config::EXECUTOR)
                                        -
                                        1071 {
                                        -
                                        1072 if (!check_boundary(value_size, options.executor))
                                        -
                                        1073 return NNFW_STATUS_ERROR;
                                        -
                                        1074
                                        -
                                        1075 strncpy(value, options.executor.c_str(), options.executor.length());
                                        -
                                        1076 }
                                        -
                                        1077 else
                                        -
                                        1078 {
                                        -
                                        1079 return NNFW_STATUS_ERROR;
                                        -
                                        1080 }
                                        -
                                        1081
                                        -
                                        1082 return NNFW_STATUS_NO_ERROR;
                                        -
                                        1083}
                                        -
                                        -
                                        1084
                                        -
                                        1085bool nnfw_session::isStateInitialized()
                                        -
                                        1086{
                                        -
                                        1087 if (_state == State::INITIALIZED)
                                        -
                                        1088 {
                                        -
                                        1089 assert(_nnpkg == nullptr);
                                        -
                                        1090 assert(_coptions.empty());
                                        -
                                        1091 assert(_execution == nullptr);
                                        -
                                        1092 return true;
                                        -
                                        1093 }
                                        -
                                        1094 else
                                        -
                                        1095 {
                                        -
                                        1096 return false;
                                        -
                                        1097 }
                                        +
                                        1045 if (isStateModelLoaded())
                                        +
                                        1046 return _nnpkg->outputSize();
                                        +
                                        1047
                                        +
                                        1048 // Session is prepared (general inference)
                                        +
                                        1049 return _compiler_artifact->_executors->outputSize();
                                        +
                                        1050}
                                        +
                                        1051
                                        +
                                        +
                                        1052NNFW_STATUS nnfw_session::get_config(const char *key, char *value, size_t value_size)
                                        +
                                        1053{
                                        +
                                        1054 if (!isStateModelLoaded())
                                        + +
                                        1056
                                        +
                                        1057 if (!key || !value)
                                        + +
                                        1059
                                        +
                                        1060 auto &options = *_coptions[0];
                                        +
                                        1061
                                        +
                                        1062 auto check_boundary = [](size_t dest_size, std::string &src) {
                                        +
                                        1063 if (dest_size < src.length() + 1 /* for '\0' */)
                                        +
                                        1064 {
                                        +
                                        1065 std::cerr << "buffer is small to copy config value." << std::endl;
                                        +
                                        1066 return false;
                                        +
                                        1067 }
                                        +
                                        1068 return true;
                                        +
                                        1069 };
                                        +
                                        1070
                                        +
                                        1071 const std::string skey = key;
                                        +
                                        1072
                                        +
                                        1073 if (skey == onert::util::config::BACKENDS)
                                        +
                                        1074 {
                                        +
                                        1075 if (options.backend_list.size() == 0)
                                        +
                                        1076 return NNFW_STATUS_NO_ERROR; // no setting backend is not an error of get_config_str()
                                        +
                                        1077
                                        +
                                        1078 auto str = nnfw::misc::join(options.backend_list.begin(), options.backend_list.end(), ";");
                                        +
                                        1079
                                        +
                                        1080 if (!check_boundary(value_size, str))
                                        +
                                        1081 return NNFW_STATUS_ERROR;
                                        +
                                        1082
                                        +
                                        1083 strncpy(value, str.c_str(), value_size);
                                        +
                                        1084 }
                                        +
                                        1085 else if (skey == onert::util::config::EXECUTOR)
                                        +
                                        1086 {
                                        +
                                        1087 if (!check_boundary(value_size, options.executor))
                                        +
                                        1088 return NNFW_STATUS_ERROR;
                                        +
                                        1089
                                        +
                                        1090 strncpy(value, options.executor.c_str(), options.executor.length());
                                        +
                                        1091 }
                                        +
                                        1092 else
                                        +
                                        1093 {
                                        +
                                        1094 return NNFW_STATUS_ERROR;
                                        +
                                        1095 }
                                        +
                                        1096
                                        +
                                        1097 return NNFW_STATUS_NO_ERROR;
                                        1098}
                                        +
                                        1099
                                        -
                                        1100bool nnfw_session::isStateModelLoaded()
                                        +
                                        1100bool nnfw_session::isStateInitialized()
                                        1101{
                                        -
                                        1102 if (_state == State::MODEL_LOADED)
                                        +
                                        1102 if (_state == State::INITIALIZED)
                                        1103 {
                                        -
                                        1104 assert(_nnpkg != nullptr);
                                        -
                                        1105 assert(!_coptions.empty());
                                        +
                                        1104 assert(_nnpkg == nullptr);
                                        +
                                        1105 assert(_coptions.empty());
                                        1106 assert(_execution == nullptr);
                                        1107 return true;
                                        1108 }
                                        @@ -1263,13 +1263,13 @@
                                        1112 }
                                        1113}
                                        1114
                                        -
                                        1115bool nnfw_session::isStatePrepared()
                                        +
                                        1115bool nnfw_session::isStateModelLoaded()
                                        1116{
                                        -
                                        1117 if (_state == State::PREPARED)
                                        +
                                        1117 if (_state == State::MODEL_LOADED)
                                        1118 {
                                        -
                                        1119 assert(_nnpkg == nullptr);
                                        +
                                        1119 assert(_nnpkg != nullptr);
                                        1120 assert(!_coptions.empty());
                                        -
                                        1121 assert(_execution != nullptr);
                                        +
                                        1121 assert(_execution == nullptr);
                                        1122 return true;
                                        1123 }
                                        1124 else
                                        @@ -1278,750 +1278,878 @@
                                        1127 }
                                        1128}
                                        1129
                                        -
                                        1130bool nnfw_session::isStateRunning()
                                        +
                                        1130bool nnfw_session::isStatePrepared()
                                        1131{
                                        -
                                        1132 if (_state == State::RUNNING)
                                        +
                                        1132 if (_state == State::PREPARED)
                                        1133 {
                                        1134 assert(_nnpkg == nullptr);
                                        1135 assert(!_coptions.empty());
                                        1136 assert(_execution != nullptr);
                                        1137 return true;
                                        1138 }
                                        -
                                        1139 return false;
                                        -
                                        1140}
                                        -
                                        1141
                                        -
                                        1142bool nnfw_session::isStateFinishedRun()
                                        -
                                        1143{
                                        -
                                        1144 if (_state == State::FINISHED_RUN)
                                        -
                                        1145 {
                                        -
                                        1146 assert(_nnpkg == nullptr);
                                        -
                                        1147 assert(!_coptions.empty());
                                        -
                                        1148 assert(_execution != nullptr);
                                        -
                                        1149 return true;
                                        -
                                        1150 }
                                        -
                                        1151 else
                                        -
                                        1152 {
                                        -
                                        1153 return false;
                                        -
                                        1154 }
                                        +
                                        1139 else
                                        +
                                        1140 {
                                        +
                                        1141 return false;
                                        +
                                        1142 }
                                        +
                                        1143}
                                        +
                                        1144
                                        +
                                        1145bool nnfw_session::isStateRunning()
                                        +
                                        1146{
                                        +
                                        1147 if (_state == State::RUNNING)
                                        +
                                        1148 {
                                        +
                                        1149 assert(_nnpkg == nullptr);
                                        +
                                        1150 assert(!_coptions.empty());
                                        +
                                        1151 assert(_execution != nullptr);
                                        +
                                        1152 return true;
                                        +
                                        1153 }
                                        +
                                        1154 return false;
                                        1155}
                                        1156
                                        -
                                        1157bool nnfw_session::isStatePreparedOrFinishedRun()
                                        +
                                        1157bool nnfw_session::isStateFinishedRun()
                                        1158{
                                        -
                                        1159 return isStatePrepared() || isStateFinishedRun();
                                        -
                                        1160}
                                        -
                                        1161
                                        -
                                        -
                                        1162NNFW_STATUS nnfw_session::input_tensorindex(const char *tensorname, uint32_t *index)
                                        -
                                        1163{
                                        -
                                        1164 return getTensorIndexImpl(*primary_subgraph(), tensorname, index, true);
                                        -
                                        1165}
                                        -
                                        -
                                        1166
                                        -
                                        -
                                        1167NNFW_STATUS nnfw_session::output_tensorindex(const char *tensorname, uint32_t *index)
                                        -
                                        1168{
                                        -
                                        1169 return getTensorIndexImpl(*primary_subgraph(), tensorname, index, false);
                                        +
                                        1159 if (_state == State::FINISHED_RUN)
                                        +
                                        1160 {
                                        +
                                        1161 assert(_nnpkg == nullptr);
                                        +
                                        1162 assert(!_coptions.empty());
                                        +
                                        1163 assert(_execution != nullptr);
                                        +
                                        1164 return true;
                                        +
                                        1165 }
                                        +
                                        1166 else
                                        +
                                        1167 {
                                        +
                                        1168 return false;
                                        +
                                        1169 }
                                        1170}
                                        -
                                        1171
                                        -
                                        - +
                                        1172bool nnfw_session::isStatePreparedOrFinishedRun()
                                        1173{
                                        -
                                        1174 if (backend_settings == NULL)
                                        -
                                        1175 return NNFW_STATUS_ERROR;
                                        +
                                        1174 return isStatePrepared() || isStateFinishedRun();
                                        +
                                        1175}
                                        1176
                                        -
                                        1177 if (!isStateModelLoaded())
                                        - -
                                        1179
                                        -
                                        1180 // Backend for all
                                        -
                                        1181 auto &ms_options = _coptions[0]->manual_scheduler_options;
                                        -
                                        1182 ms_options.setBackendMap(std::string{backend_settings});
                                        -
                                        1183
                                        -
                                        1184 return NNFW_STATUS_NO_ERROR;
                                        +
                                        +
                                        1177NNFW_STATUS nnfw_session::input_tensorindex(const char *tensorname, uint32_t *index)
                                        +
                                        1178{
                                        +
                                        1179 return getTensorIndexImpl(*primary_subgraph(), tensorname, index, true);
                                        +
                                        1180}
                                        +
                                        +
                                        1181
                                        +
                                        +
                                        1182NNFW_STATUS nnfw_session::output_tensorindex(const char *tensorname, uint32_t *index)
                                        +
                                        1183{
                                        +
                                        1184 return getTensorIndexImpl(*primary_subgraph(), tensorname, index, false);
                                        1185}
                                        1186
                                        - +
                                        1188{
                                        -
                                        1189 if (isStateInitialized())
                                        -
                                        1190 {
                                        -
                                        1191 // There is no _train_info in INITIALIZED, since _train_info is set when a model loaded
                                        -
                                        1192 std::cerr << "Error during nnfw_session::train_get_traininfo : invalid state";
                                        +
                                        1189 if (backend_settings == NULL)
                                        +
                                        1190 return NNFW_STATUS_ERROR;
                                        +
                                        1191
                                        +
                                        1192 if (!isStateModelLoaded())
                                        -
                                        1194 }
                                        -
                                        1195
                                        -
                                        1196 if (info == nullptr)
                                        -
                                        1197 {
                                        -
                                        1198 std::cerr << "Error during nnfw_session::train_get_traininfo : info is nullptr" << std::endl;
                                        - -
                                        1200 }
                                        +
                                        1194
                                        +
                                        1195 // Backend for all
                                        +
                                        1196 auto &ms_options = _coptions[0]->manual_scheduler_options;
                                        +
                                        1197 ms_options.setBackendMap(std::string{backend_settings});
                                        +
                                        1198
                                        +
                                        1199 return NNFW_STATUS_NO_ERROR;
                                        +
                                        1200}
                                        +
                                        1201
                                        -
                                        1202 // after model loaded, it ensures that _train_info is not nullptr
                                        -
                                        1203 assert(_train_info != nullptr);
                                        -
                                        1204
                                        -
                                        1205 auto convertLossCode = [](const onert::ir::train::LossCode &code) -> NNFW_TRAIN_LOSS {
                                        -
                                        1206 switch (code)
                                        -
                                        1207 {
                                        - - - - - - -
                                        1214 default:
                                        -
                                        1215 throw std::runtime_error{"fail to convert ir::train::LossCode"};
                                        -
                                        1216 }
                                        -
                                        1217 };
                                        -
                                        1218
                                        -
                                        1219 auto convertLossReduction =
                                        - -
                                        1221 switch (type)
                                        +
                                        + +
                                        1203{
                                        +
                                        1204 if (isStateInitialized())
                                        +
                                        1205 {
                                        +
                                        1206 // There is no _train_info in INITIALIZED, since _train_info is set when a model loaded
                                        +
                                        1207 std::cerr << "Error during nnfw_session::train_get_traininfo : invalid state";
                                        + +
                                        1209 }
                                        +
                                        1210
                                        +
                                        1211 if (info == nullptr)
                                        +
                                        1212 {
                                        +
                                        1213 std::cerr << "Error during nnfw_session::train_get_traininfo : info is nullptr" << std::endl;
                                        + +
                                        1215 }
                                        +
                                        1216
                                        +
                                        1217 // after model loaded, it ensures that _train_info is not nullptr
                                        +
                                        1218 assert(_train_info != nullptr);
                                        +
                                        1219
                                        +
                                        1220 auto convertLossCode = [](const onert::ir::train::LossCode &code) -> NNFW_TRAIN_LOSS {
                                        +
                                        1221 switch (code)
                                        1222 {
                                        - - - - - - + + + + + +
                                        1229 default:
                                        -
                                        1230 throw std::runtime_error{"fail to convert from ir::train::LossReductionType"};
                                        -
                                        1231 break;
                                        -
                                        1232 }
                                        -
                                        1233 };
                                        -
                                        1234
                                        -
                                        1235 auto convertOptimizerCode =
                                        - -
                                        1237 switch (code)
                                        -
                                        1238 {
                                        - - - - - - -
                                        1245 default:
                                        -
                                        1246 throw std::runtime_error{"fail to convert from ir::train::OptimizerCode"};
                                        +
                                        1230 throw std::runtime_error{"fail to convert ir::train::LossCode"};
                                        +
                                        1231 }
                                        +
                                        1232 };
                                        +
                                        1233
                                        +
                                        1234 auto convertLossReduction =
                                        + +
                                        1236 switch (type)
                                        +
                                        1237 {
                                        + + + + + + +
                                        1244 default:
                                        +
                                        1245 throw std::runtime_error{"fail to convert from ir::train::LossReductionType"};
                                        +
                                        1246 break;
                                        1247 }
                                        1248 };
                                        1249
                                        -
                                        1250 const auto &loss = _train_info->lossInfo();
                                        -
                                        1251 const auto &optim = _train_info->optimizerInfo();
                                        -
                                        1252
                                        -
                                        1253 try
                                        -
                                        1254 {
                                        -
                                        1255 info->learning_rate = optim.learning_rate;
                                        -
                                        1256 info->batch_size = _train_info->batchSize();
                                        -
                                        1257 info->loss_info.loss = convertLossCode(loss.loss_code);
                                        -
                                        1258 info->loss_info.reduction_type = convertLossReduction(loss.reduction_type);
                                        -
                                        1259 info->opt = convertOptimizerCode(optim.optim_code);
                                        -
                                        1260 }
                                        -
                                        1261 catch (const std::exception &e)
                                        -
                                        1262 {
                                        -
                                        1263 std::cerr << "Error during nnfw_session::train_get_traininfo" << e.what() << std::endl;
                                        -
                                        1264 return NNFW_STATUS_ERROR;
                                        -
                                        1265 }
                                        -
                                        1266
                                        -
                                        1267 return NNFW_STATUS_NO_ERROR;
                                        -
                                        1268}
                                        +
                                        1250 auto convertOptimizerCode =
                                        + +
                                        1252 switch (code)
                                        +
                                        1253 {
                                        + + + + + + +
                                        1260 default:
                                        +
                                        1261 throw std::runtime_error{"fail to convert from ir::train::OptimizerCode"};
                                        +
                                        1262 }
                                        +
                                        1263 };
                                        +
                                        1264
                                        +
                                        1265 const auto &loss = _train_info->lossInfo();
                                        +
                                        1266 const auto &optim = _train_info->optimizerInfo();
                                        +
                                        1267
                                        +
                                        1268 try
                                        +
                                        1269 {
                                        +
                                        1270 info->learning_rate = optim.learning_rate;
                                        +
                                        1271 info->batch_size = _train_info->batchSize();
                                        +
                                        1272 info->loss_info.loss = convertLossCode(loss.loss_code);
                                        +
                                        1273 info->loss_info.reduction_type = convertLossReduction(loss.reduction_type);
                                        +
                                        1274 info->opt = convertOptimizerCode(optim.optim_code);
                                        +
                                        1275 }
                                        +
                                        1276 catch (const std::exception &e)
                                        +
                                        1277 {
                                        +
                                        1278 std::cerr << "Error during nnfw_session::train_get_traininfo" << e.what() << std::endl;
                                        +
                                        1279 return NNFW_STATUS_ERROR;
                                        +
                                        1280 }
                                        +
                                        1281
                                        +
                                        1282 return NNFW_STATUS_NO_ERROR;
                                        +
                                        1283}
                                        -
                                        1269
                                        -
                                        - -
                                        1271{
                                        -
                                        1272 if (not isStateModelLoaded())
                                        -
                                        1273 {
                                        -
                                        1274 std::cerr << "Error during nnfw_session::train_set_traininfo : invalid state" << std::endl;
                                        - -
                                        1276 }
                                        -
                                        1277
                                        -
                                        1278 if (info == nullptr)
                                        -
                                        1279 {
                                        -
                                        1280 std::cerr << "nnfw_session::train_set_traininfo : info is nullptr" << std::endl;
                                        - -
                                        1282 }
                                        -
                                        1283
                                        -
                                        1284 // after model loaded, it ensures that _train_info is not nullptr
                                        -
                                        1285 assert(_train_info != nullptr);
                                        -
                                        1286
                                        -
                                        1287 auto convertLossType = [](const int &type) {
                                        - - - - -
                                        1292 else
                                        -
                                        1293 throw std::runtime_error("not supported loss type");
                                        -
                                        1294 };
                                        -
                                        1295
                                        -
                                        1296 auto convertLossReductionType = [](const int &type) {
                                        - - -
                                        1299 else if (type == NNFW_TRAIN_LOSS_REDUCTION_SUM)
                                        - -
                                        1301 else
                                        -
                                        1302 throw std::runtime_error("not supported loss reduction type");
                                        -
                                        1303 };
                                        -
                                        1304
                                        -
                                        1305 auto convertOptType = [](const int &type) {
                                        -
                                        1306 if (type == NNFW_TRAIN_OPTIMIZER_SGD)
                                        - -
                                        1308 else if (type == NNFW_TRAIN_OPTIMIZER_ADAM)
                                        - -
                                        1310 else
                                        -
                                        1311 throw std::runtime_error("not supported optimizer type");
                                        -
                                        1312 };
                                        -
                                        1313
                                        -
                                        1314 try
                                        -
                                        1315 {
                                        - -
                                        1317 loss_info.loss_code = convertLossType(info->loss_info.loss);
                                        -
                                        1318 loss_info.reduction_type = convertLossReductionType(info->loss_info.reduction_type);
                                        +
                                        1284
                                        +
                                        + +
                                        1286{
                                        +
                                        1287 if (not isStateModelLoaded())
                                        +
                                        1288 {
                                        +
                                        1289 std::cerr << "Error during nnfw_session::train_set_traininfo : invalid state" << std::endl;
                                        + +
                                        1291 }
                                        +
                                        1292
                                        +
                                        1293 if (info == nullptr)
                                        +
                                        1294 {
                                        +
                                        1295 std::cerr << "nnfw_session::train_set_traininfo : info is nullptr" << std::endl;
                                        + +
                                        1297 }
                                        +
                                        1298
                                        +
                                        1299 // after model loaded, it ensures that _train_info is not nullptr
                                        +
                                        1300 assert(_train_info != nullptr);
                                        +
                                        1301
                                        +
                                        1302 auto convertLossType = [](const int &type) {
                                        + + + + +
                                        1307 else
                                        +
                                        1308 throw std::runtime_error("not supported loss type");
                                        +
                                        1309 };
                                        +
                                        1310
                                        +
                                        1311 auto convertLossReductionType = [](const int &type) {
                                        + + +
                                        1314 else if (type == NNFW_TRAIN_LOSS_REDUCTION_SUM)
                                        + +
                                        1316 else
                                        +
                                        1317 throw std::runtime_error("not supported loss reduction type");
                                        +
                                        1318 };
                                        1319
                                        - -
                                        1321 opt_info.learning_rate = info->learning_rate;
                                        -
                                        1322 opt_info.optim_code = convertOptType(info->opt);
                                        -
                                        1323
                                        -
                                        1324 _train_info->setBatchSize(info->batch_size);
                                        -
                                        1325 _train_info->setLossInfo(loss_info);
                                        -
                                        1326 _train_info->setOptimizerInfo(opt_info);
                                        -
                                        1327 }
                                        -
                                        1328 catch (const std::exception &e)
                                        -
                                        1329 {
                                        -
                                        1330 std::cerr << "Error during nnfw_session::train_set_traininfo : " << e.what() << std::endl;
                                        -
                                        1331 return NNFW_STATUS_ERROR;
                                        -
                                        1332 }
                                        -
                                        1333
                                        -
                                        1334 return NNFW_STATUS_NO_ERROR;
                                        -
                                        1335}
                                        +
                                        1320 auto convertOptType = [](const int &type) {
                                        +
                                        1321 if (type == NNFW_TRAIN_OPTIMIZER_SGD)
                                        + +
                                        1323 else if (type == NNFW_TRAIN_OPTIMIZER_ADAM)
                                        + +
                                        1325 else
                                        +
                                        1326 throw std::runtime_error("not supported optimizer type");
                                        +
                                        1327 };
                                        +
                                        1328
                                        +
                                        1329 try
                                        +
                                        1330 {
                                        + +
                                        1332 loss_info.loss_code = convertLossType(info->loss_info.loss);
                                        +
                                        1333 loss_info.reduction_type = convertLossReductionType(info->loss_info.reduction_type);
                                        +
                                        1334
                                        + +
                                        1336 opt_info.learning_rate = info->learning_rate;
                                        +
                                        1337 opt_info.optim_code = convertOptType(info->opt);
                                        +
                                        1338
                                        +
                                        1339 _train_info->setBatchSize(info->batch_size);
                                        +
                                        1340 _train_info->setLossInfo(loss_info);
                                        +
                                        1341 _train_info->setOptimizerInfo(opt_info);
                                        +
                                        1342 }
                                        +
                                        1343 catch (const std::exception &e)
                                        +
                                        1344 {
                                        +
                                        1345 std::cerr << "Error during nnfw_session::train_set_traininfo : " << e.what() << std::endl;
                                        +
                                        1346 return NNFW_STATUS_ERROR;
                                        +
                                        1347 }
                                        +
                                        1348
                                        +
                                        1349 return NNFW_STATUS_NO_ERROR;
                                        +
                                        1350}
                                        -
                                        1336
                                        -
                                        - -
                                        1338{
                                        -
                                        1339 // We may need different state to represent training model is loaded
                                        -
                                        1340 if (!isStateModelLoaded())
                                        -
                                        1341 {
                                        -
                                        1342 std::cerr << "Error during model prepare training: ";
                                        -
                                        1343 if (_state == State::PREPARED_TRAINING)
                                        -
                                        1344 std::cerr << "prepare should be run once";
                                        -
                                        1345 else
                                        -
                                        1346 std::cerr << "invalid state";
                                        -
                                        1347 std::cerr << std::endl;
                                        - -
                                        1349 }
                                        -
                                        1350
                                        -
                                        1351 // after model loaded, it ensures that _train_info is not nullptr
                                        -
                                        1352 assert(_train_info != nullptr);
                                        -
                                        1353
                                        -
                                        1354 try
                                        -
                                        1355 {
                                        -
                                        1356 if (not _train_info->isValid())
                                        -
                                        1357 throw std::runtime_error{"training info is not valid"};
                                        -
                                        1358
                                        -
                                        1359 // initialize trainingStep count
                                        -
                                        1360 _train_info->trainingStep() = 0;
                                        -
                                        1361
                                        -
                                        1362 auto compiler =
                                        -
                                        1363 onert::compiler::CompilerFactory::get().create(_nnpkg, _coptions, _train_info.get());
                                        -
                                        1364 _nnpkg.reset();
                                        -
                                        1365 _compiler_artifact = compiler->compile();
                                        -
                                        1366 _execution = std::make_unique<onert::exec::Execution>(_compiler_artifact->_executors);
                                        -
                                        1367 }
                                        -
                                        1368 catch (const std::exception &e)
                                        -
                                        1369 {
                                        -
                                        1370 std::cerr << "Error during nnfw_session::train_prepare : " << e.what() << std::endl;
                                        -
                                        1371 return NNFW_STATUS_ERROR;
                                        -
                                        1372 }
                                        +
                                        1351
                                        +
                                        + +
                                        1353{
                                        +
                                        1354 // We may need different state to represent training model is loaded
                                        +
                                        1355 if (!isStateModelLoaded())
                                        +
                                        1356 {
                                        +
                                        1357 std::cerr << "Error during model prepare training: ";
                                        +
                                        1358 if (_state == State::PREPARED_TRAINING)
                                        +
                                        1359 std::cerr << "prepare should be run once";
                                        +
                                        1360 else
                                        +
                                        1361 std::cerr << "invalid state";
                                        +
                                        1362 std::cerr << std::endl;
                                        + +
                                        1364 }
                                        +
                                        1365
                                        +
                                        1366 // after model loaded, it ensures that _train_info is not nullptr
                                        +
                                        1367 assert(_train_info != nullptr);
                                        +
                                        1368
                                        +
                                        1369 try
                                        +
                                        1370 {
                                        +
                                        1371 if (not _train_info->isValid())
                                        +
                                        1372 throw std::runtime_error{"training info is not valid"};
                                        1373
                                        -
                                        1374 _state = State::PREPARED_TRAINING;
                                        -
                                        1375 return NNFW_STATUS_NO_ERROR;
                                        -
                                        1376}
                                        +
                                        1374 // initialize trainingStep count
                                        +
                                        1375 _train_info->trainingStep() = 0;
                                        +
                                        1376
                                        +
                                        1377 auto compiler =
                                        +
                                        1378 onert::compiler::CompilerFactory::get().create(_nnpkg, _coptions, _train_info.get());
                                        +
                                        1379 _nnpkg.reset();
                                        +
                                        1380 _compiler_artifact = compiler->compile();
                                        +
                                        1381 _execution = std::make_unique<onert::exec::Execution>(_compiler_artifact->_executors);
                                        +
                                        1382 }
                                        +
                                        1383 catch (const std::exception &e)
                                        +
                                        1384 {
                                        +
                                        1385 std::cerr << "Error during nnfw_session::train_prepare : " << e.what() << std::endl;
                                        +
                                        1386 return NNFW_STATUS_ERROR;
                                        +
                                        1387 }
                                        +
                                        1388
                                        +
                                        1389 _state = State::PREPARED_TRAINING;
                                        +
                                        1390 return NNFW_STATUS_NO_ERROR;
                                        +
                                        1391}
                                        -
                                        1377
                                        -
                                        - -
                                        1379{
                                        -
                                        1380 if (!isStatePreparedOrFinishedTraining())
                                        -
                                        1381 {
                                        -
                                        1382 std::cerr << "Error during nnfw_session::train_input_tensorinfo : invalid state" << std::endl;
                                        - -
                                        1384 }
                                        -
                                        1385
                                        -
                                        1386 // Check index is valid: [0, getInputSize())
                                        -
                                        1387
                                        -
                                        1388 // NYI
                                        -
                                        1389 (void)index;
                                        -
                                        1390 (void)ti;
                                        -
                                        1391 return NNFW_STATUS_ERROR;
                                        -
                                        1392}
                                        -
                                        -
                                        1393
                                        -
                                        - -
                                        1395{
                                        -
                                        1396 if (!isStatePreparedOrFinishedTraining())
                                        -
                                        1397 {
                                        -
                                        1398 std::cerr << "Error during nnfw_session::train_expected_tensorinfo : invalid state"
                                        -
                                        1399 << std::endl;
                                        - -
                                        1401 }
                                        +
                                        1392
                                        +
                                        + +
                                        1394{
                                        +
                                        1395 if (!isStatePreparedOrFinishedTraining())
                                        +
                                        1396 {
                                        +
                                        1397 std::cerr << "Error during nnfw_session::train_input_tensorinfo : invalid state" << std::endl;
                                        + +
                                        1399 }
                                        +
                                        1400
                                        +
                                        1401 // Check index is valid: [0, getInputSize())
                                        1402
                                        -
                                        1403 // Check index is valid: [0, getExpectedSize())
                                        -
                                        1404
                                        -
                                        1405 // NYI
                                        -
                                        1406 (void)index;
                                        -
                                        1407 (void)ti;
                                        -
                                        1408 return NNFW_STATUS_ERROR;
                                        -
                                        1409}
                                        +
                                        1403 // NYI
                                        +
                                        1404 (void)index;
                                        +
                                        1405 (void)ti;
                                        +
                                        1406 return NNFW_STATUS_ERROR;
                                        +
                                        1407}
                                        -
                                        1410
                                        -
                                        -
                                        1411NNFW_STATUS nnfw_session::train_set_input(uint32_t index, const void *input,
                                        -
                                        1412 const nnfw_tensorinfo *input_tensorinfo)
                                        -
                                        1413{
                                        -
                                        1414 if (input == nullptr)
                                        -
                                        1415 {
                                        -
                                        1416 std::cerr << "Error during nnfw_session::train_set_input : input buffer is null" << std::endl;
                                        - -
                                        1418 }
                                        +
                                        1408
                                        +
                                        + +
                                        1410{
                                        +
                                        1411 if (!isStatePreparedOrFinishedTraining())
                                        +
                                        1412 {
                                        +
                                        1413 std::cerr << "Error during nnfw_session::train_expected_tensorinfo : invalid state"
                                        +
                                        1414 << std::endl;
                                        + +
                                        1416 }
                                        +
                                        1417
                                        +
                                        1418 // Check index is valid: [0, getExpectedSize())
                                        1419
                                        -
                                        1420 if (!isStatePreparedOrFinishedTraining())
                                        -
                                        1421 {
                                        -
                                        1422 std::cerr << "Error during nnfw_session::train_set_input : invalid state" << std::endl;
                                        - -
                                        1424 }
                                        +
                                        1420 // NYI
                                        +
                                        1421 (void)index;
                                        +
                                        1422 (void)ti;
                                        +
                                        1423 return NNFW_STATUS_ERROR;
                                        +
                                        1424}
                                        +
                                        1425
                                        -
                                        1426 if (index >= getInputSize())
                                        -
                                        1427 {
                                        -
                                        1428 std::cerr << "Error during nnfw_session::train_set_input : index is out of range" << std::endl;
                                        -
                                        1429 return NNFW_STATUS_ERROR;
                                        -
                                        1430 }
                                        -
                                        1431
                                        -
                                        1432 try
                                        -
                                        1433 {
                                        -
                                        1434 auto ind = onert::ir::IOIndex(index);
                                        -
                                        1435 auto size = _execution->getInputTotalSize(ind);
                                        -
                                        1436 if (input_tensorinfo && getBufSize(input_tensorinfo) != size)
                                        -
                                        1437 {
                                        -
                                        1438 std::cerr
                                        -
                                        1439 << "Error during nnfw_session::train_set_input : not supporeted to change tensorinfo"
                                        -
                                        1440 << std::endl;
                                        -
                                        1441 return NNFW_STATUS_ERROR;
                                        -
                                        1442 }
                                        -
                                        1443
                                        -
                                        1444 _execution->setInput(ind, input, size);
                                        +
                                        +
                                        1426NNFW_STATUS nnfw_session::train_set_input(uint32_t index, const void *input,
                                        +
                                        1427 const nnfw_tensorinfo *input_tensorinfo)
                                        +
                                        1428{
                                        +
                                        1429 if (input == nullptr)
                                        +
                                        1430 {
                                        +
                                        1431 std::cerr << "Error during nnfw_session::train_set_input : input buffer is null" << std::endl;
                                        + +
                                        1433 }
                                        +
                                        1434
                                        +
                                        1435 if (!isStatePreparedOrFinishedTraining())
                                        +
                                        1436 {
                                        +
                                        1437 std::cerr << "Error during nnfw_session::train_set_input : invalid state" << std::endl;
                                        + +
                                        1439 }
                                        +
                                        1440
                                        +
                                        1441 if (index >= getInputSize())
                                        +
                                        1442 {
                                        +
                                        1443 std::cerr << "Error during nnfw_session::train_set_input : index is out of range" << std::endl;
                                        +
                                        1444 return NNFW_STATUS_ERROR;
                                        1445 }
                                        -
                                        1446 catch (const std::exception &e)
                                        -
                                        1447 {
                                        -
                                        1448 std::cerr << "Error during nnfw_session::train_set_input : " << e.what() << std::endl;
                                        -
                                        1449 return NNFW_STATUS_ERROR;
                                        -
                                        1450 }
                                        -
                                        1451
                                        -
                                        1452 return NNFW_STATUS_NO_ERROR;
                                        -
                                        1453}
                                        -
                                        -
                                        1454
                                        -
                                        -
                                        1455NNFW_STATUS nnfw_session::train_set_expected(uint32_t index, const void *expected,
                                        -
                                        1456 const nnfw_tensorinfo *expected_tensorinfo)
                                        -
                                        1457{
                                        -
                                        1458 if (expected == nullptr)
                                        -
                                        1459 {
                                        -
                                        1460 std::cerr << "Error during nnfw_session::train_set_expected : expected buffer is null"
                                        -
                                        1461 << std::endl;
                                        - -
                                        1463 }
                                        -
                                        1464
                                        -
                                        1465 if (!isStatePreparedOrFinishedTraining())
                                        -
                                        1466 {
                                        -
                                        1467 std::cerr << "Error during nnfw_session::train_set_expected : invalid state" << std::endl;
                                        - -
                                        1469 }
                                        -
                                        1470
                                        -
                                        1471 if (index >= getOutputSize())
                                        -
                                        1472 {
                                        -
                                        1473 std::cerr << "Error during nnfw_session::train_set_expected : index is out of range"
                                        -
                                        1474 << std::endl;
                                        -
                                        1475 return NNFW_STATUS_ERROR;
                                        -
                                        1476 }
                                        -
                                        1477
                                        -
                                        1478 try
                                        -
                                        1479 {
                                        -
                                        1480 auto output_ind = onert::ir::IOIndex(index);
                                        -
                                        1481 auto size = _execution->getOutputTotalSize(output_ind);
                                        -
                                        1482 if (expected_tensorinfo && getBufSize(expected_tensorinfo) != size)
                                        -
                                        1483 {
                                        -
                                        1484 std::cerr << "Error during nnfw_session::train_set_expected : invalid tensorinfo"
                                        -
                                        1485 << std::endl;
                                        -
                                        1486 return NNFW_STATUS_ERROR;
                                        -
                                        1487 }
                                        -
                                        1488
                                        -
                                        1489 // NOTE Find the loss input index
                                        -
                                        1490 // Input is added as many as the number of outputs.
                                        -
                                        1491 // The loss index is calculated from the value obtained by subtracting the
                                        -
                                        1492 // total output(added loss input) from the total input size.
                                        -
                                        1493 auto input_index = getInputSize() - getOutputSize() + index;
                                        -
                                        1494 auto input_ind = onert::ir::IOIndex(input_index);
                                        -
                                        1495 _execution->setInput(input_ind, expected, size);
                                        -
                                        1496 }
                                        -
                                        1497 catch (const std::exception &e)
                                        -
                                        1498 {
                                        -
                                        1499 std::cerr << "Error during nnfw_session::train_set_expected : " << e.what() << std::endl;
                                        -
                                        1500 return NNFW_STATUS_ERROR;
                                        -
                                        1501 }
                                        -
                                        1502
                                        -
                                        1503 return NNFW_STATUS_NO_ERROR;
                                        -
                                        1504}
                                        +
                                        1446
                                        +
                                        1447 try
                                        +
                                        1448 {
                                        +
                                        1449 auto ind = onert::ir::IOIndex(index);
                                        +
                                        1450 auto size = _execution->getInputTotalSize(ind);
                                        +
                                        1451 if (input_tensorinfo && getBufSize(input_tensorinfo) != size)
                                        +
                                        1452 {
                                        +
                                        1453 std::cerr
                                        +
                                        1454 << "Error during nnfw_session::train_set_input : not supporeted to change tensorinfo"
                                        +
                                        1455 << std::endl;
                                        +
                                        1456 return NNFW_STATUS_ERROR;
                                        +
                                        1457 }
                                        +
                                        1458
                                        +
                                        1459 _execution->setInput(ind, input, size);
                                        +
                                        1460 }
                                        +
                                        1461 catch (const std::exception &e)
                                        +
                                        1462 {
                                        +
                                        1463 std::cerr << "Error during nnfw_session::train_set_input : " << e.what() << std::endl;
                                        +
                                        1464 return NNFW_STATUS_ERROR;
                                        +
                                        1465 }
                                        +
                                        1466
                                        +
                                        1467 return NNFW_STATUS_NO_ERROR;
                                        +
                                        1468}
                                        -
                                        1505
                                        -
                                        -
                                        1506NNFW_STATUS nnfw_session::train_set_output(uint32_t index, NNFW_TYPE /*type*/, void *buffer,
                                        -
                                        1507 size_t length)
                                        -
                                        1508{
                                        -
                                        1509 if (!isStatePreparedOrFinishedTraining())
                                        -
                                        1510 {
                                        -
                                        1511 std::cerr << "Error during nnfw_session::train_set_output : invalid state" << std::endl;
                                        - -
                                        1513 }
                                        -
                                        1514
                                        -
                                        1515 if (!buffer && length != 0)
                                        -
                                        1516 {
                                        -
                                        1517 std::cerr << "Error during nnfw_session::train_set_output : given buffer is NULL but the "
                                        -
                                        1518 "length is not 0"
                                        -
                                        1519 << std::endl;
                                        -
                                        1520 return NNFW_STATUS_ERROR;
                                        -
                                        1521 }
                                        -
                                        1522
                                        -
                                        1523 try
                                        -
                                        1524 {
                                        -
                                        1525 _execution->setOutput(onert::ir::IOIndex(index), buffer, length);
                                        -
                                        1526 }
                                        -
                                        1527 catch (const std::exception &e)
                                        -
                                        1528 {
                                        -
                                        1529 std::cerr << "Error during nnfw_session::train_set_output : " << e.what() << std::endl;
                                        -
                                        1530 return NNFW_STATUS_ERROR;
                                        -
                                        1531 }
                                        -
                                        1532 return NNFW_STATUS_NO_ERROR;
                                        -
                                        1533}
                                        +
                                        1469
                                        +
                                        +
                                        1470NNFW_STATUS nnfw_session::train_set_expected(uint32_t index, const void *expected,
                                        +
                                        1471 const nnfw_tensorinfo *expected_tensorinfo)
                                        +
                                        1472{
                                        +
                                        1473 if (expected == nullptr)
                                        +
                                        1474 {
                                        +
                                        1475 std::cerr << "Error during nnfw_session::train_set_expected : expected buffer is null"
                                        +
                                        1476 << std::endl;
                                        + +
                                        1478 }
                                        +
                                        1479
                                        +
                                        1480 if (!isStatePreparedOrFinishedTraining())
                                        +
                                        1481 {
                                        +
                                        1482 std::cerr << "Error during nnfw_session::train_set_expected : invalid state" << std::endl;
                                        + +
                                        1484 }
                                        +
                                        1485
                                        +
                                        1486 if (index >= getOutputSize())
                                        +
                                        1487 {
                                        +
                                        1488 std::cerr << "Error during nnfw_session::train_set_expected : index is out of range"
                                        +
                                        1489 << std::endl;
                                        +
                                        1490 return NNFW_STATUS_ERROR;
                                        +
                                        1491 }
                                        +
                                        1492
                                        +
                                        1493 try
                                        +
                                        1494 {
                                        +
                                        1495 auto output_ind = onert::ir::IOIndex(index);
                                        +
                                        1496 auto size = _execution->getOutputTotalSize(output_ind);
                                        +
                                        1497 if (expected_tensorinfo && getBufSize(expected_tensorinfo) != size)
                                        +
                                        1498 {
                                        +
                                        1499 std::cerr << "Error during nnfw_session::train_set_expected : invalid tensorinfo"
                                        +
                                        1500 << std::endl;
                                        +
                                        1501 return NNFW_STATUS_ERROR;
                                        +
                                        1502 }
                                        +
                                        1503
                                        +
                                        1504 // NOTE Find the loss input index
                                        +
                                        1505 // Input is added as many as the number of outputs.
                                        +
                                        1506 // The loss index is calculated from the value obtained by subtracting the
                                        +
                                        1507 // total output(added loss input) from the total input size.
                                        +
                                        1508 auto input_index = getInputSize() - getOutputSize() + index;
                                        +
                                        1509 auto input_ind = onert::ir::IOIndex(input_index);
                                        +
                                        1510 _execution->setInput(input_ind, expected, size);
                                        +
                                        1511 }
                                        +
                                        1512 catch (const std::exception &e)
                                        +
                                        1513 {
                                        +
                                        1514 std::cerr << "Error during nnfw_session::train_set_expected : " << e.what() << std::endl;
                                        +
                                        1515 return NNFW_STATUS_ERROR;
                                        +
                                        1516 }
                                        +
                                        1517
                                        +
                                        1518 return NNFW_STATUS_NO_ERROR;
                                        +
                                        1519}
                                        -
                                        1534
                                        -
                                        - -
                                        1536{
                                        -
                                        1537 if (!isStatePreparedOrFinishedTraining())
                                        -
                                        1538 {
                                        -
                                        1539 std::cerr << "Error during nnfw_session::train_run : invalid state" << std::endl;
                                        - +
                                        1520
                                        +
                                        +
                                        1521NNFW_STATUS nnfw_session::train_set_output(uint32_t index, NNFW_TYPE /*type*/, void *buffer,
                                        +
                                        1522 size_t length)
                                        +
                                        1523{
                                        +
                                        1524 if (!isStatePreparedOrFinishedTraining())
                                        +
                                        1525 {
                                        +
                                        1526 std::cerr << "Error during nnfw_session::train_set_output : invalid state" << std::endl;
                                        + +
                                        1528 }
                                        +
                                        1529
                                        +
                                        1530 if (!buffer && length != 0)
                                        +
                                        1531 {
                                        +
                                        1532 std::cerr << "Error during nnfw_session::train_set_output : given buffer is NULL but the "
                                        +
                                        1533 "length is not 0"
                                        +
                                        1534 << std::endl;
                                        +
                                        1535 return NNFW_STATUS_ERROR;
                                        +
                                        1536 }
                                        +
                                        1537
                                        +
                                        1538 try
                                        +
                                        1539 {
                                        +
                                        1540 _execution->setOutput(onert::ir::IOIndex(index), buffer, length);
                                        1541 }
                                        -
                                        1542
                                        -
                                        1543 try
                                        -
                                        1544 {
                                        -
                                        1545 if (update_weights)
                                        -
                                        1546 {
                                        -
                                        1547 auto &training_step = _train_info->trainingStep();
                                        -
                                        1548 _execution->train(training_step++);
                                        -
                                        1549 }
                                        -
                                        1550 else
                                        -
                                        1551 _execution->execute();
                                        -
                                        1552 }
                                        - -
                                        1554 {
                                        -
                                        1555 // Currently insufficient buffer always means output buffer.
                                        -
                                        1556 std::cerr << "Error during nnfw_session::train_run : " << e.what() << std::endl;
                                        - -
                                        1558 }
                                        -
                                        1559 catch (const std::exception &e)
                                        -
                                        1560 {
                                        -
                                        1561 std::cerr << "Error during nnfw_session::train_run : " << e.what() << std::endl;
                                        -
                                        1562 return NNFW_STATUS_ERROR;
                                        -
                                        1563 }
                                        -
                                        1564
                                        -
                                        1565 _state = State::FINISHED_TRAINING;
                                        -
                                        1566 return NNFW_STATUS_NO_ERROR;
                                        -
                                        1567}
                                        +
                                        1542 catch (const std::exception &e)
                                        +
                                        1543 {
                                        +
                                        1544 std::cerr << "Error during nnfw_session::train_set_output : " << e.what() << std::endl;
                                        +
                                        1545 return NNFW_STATUS_ERROR;
                                        +
                                        1546 }
                                        +
                                        1547 return NNFW_STATUS_NO_ERROR;
                                        +
                                        1548}
                                        -
                                        1568
                                        -
                                        -
                                        1569NNFW_STATUS nnfw_session::train_get_loss(uint32_t index, float *loss)
                                        -
                                        1570{
                                        -
                                        1571 if (loss == nullptr)
                                        -
                                        1572 {
                                        -
                                        1573 std::cerr << "Error during nnfw_session::train_get_loss : loss is null" << std::endl;
                                        - -
                                        1575 }
                                        -
                                        1576
                                        -
                                        1577 if (!isStateFinishedTraining())
                                        -
                                        1578 {
                                        -
                                        1579 std::cerr << "Error during nnfw_session::train_get_loss : invalid state" << std::endl;
                                        - -
                                        1581 }
                                        -
                                        1582
                                        -
                                        1583 if (index >= getOutputSize())
                                        -
                                        1584 {
                                        -
                                        1585 std::cerr << "Error during nnfw_session::train_get_loss : index is out of range" << std::endl;
                                        -
                                        1586 return NNFW_STATUS_ERROR;
                                        -
                                        1587 }
                                        -
                                        1588
                                        -
                                        1589 try
                                        -
                                        1590 {
                                        -
                                        1591 auto ind = onert::ir::IOIndex(index);
                                        -
                                        1592 *loss = _execution->getLoss(ind);
                                        -
                                        1593 }
                                        -
                                        1594 catch (const std::exception &e)
                                        -
                                        1595 {
                                        -
                                        1596 std::cerr << "Error during nnfw_session::train_get_loss : " << e.what() << std::endl;
                                        -
                                        1597 return NNFW_STATUS_ERROR;
                                        -
                                        1598 }
                                        -
                                        1599
                                        -
                                        1600 return NNFW_STATUS_NO_ERROR;
                                        -
                                        1601}
                                        +
                                        1549
                                        +
                                        + +
                                        1551{
                                        +
                                        1552 if (!isStatePreparedOrFinishedTraining())
                                        +
                                        1553 {
                                        +
                                        1554 std::cerr << "Error during nnfw_session::train_run : invalid state" << std::endl;
                                        + +
                                        1556 }
                                        +
                                        1557
                                        +
                                        1558 try
                                        +
                                        1559 {
                                        +
                                        1560 if (update_weights)
                                        +
                                        1561 {
                                        +
                                        1562 auto &training_step = _train_info->trainingStep();
                                        +
                                        1563 _execution->train(training_step++);
                                        +
                                        1564 }
                                        +
                                        1565 else
                                        +
                                        1566 _execution->execute();
                                        +
                                        1567 }
                                        + +
                                        1569 {
                                        +
                                        1570 // Currently insufficient buffer always means output buffer.
                                        +
                                        1571 std::cerr << "Error during nnfw_session::train_run : " << e.what() << std::endl;
                                        + +
                                        1573 }
                                        +
                                        1574 catch (const std::exception &e)
                                        +
                                        1575 {
                                        +
                                        1576 std::cerr << "Error during nnfw_session::train_run : " << e.what() << std::endl;
                                        +
                                        1577 return NNFW_STATUS_ERROR;
                                        +
                                        1578 }
                                        +
                                        1579
                                        +
                                        1580 _state = State::FINISHED_TRAINING;
                                        +
                                        1581 return NNFW_STATUS_NO_ERROR;
                                        +
                                        1582}
                                        +
                                        +
                                        1583
                                        +
                                        +
                                        1584NNFW_STATUS nnfw_session::train_get_loss(uint32_t index, float *loss)
                                        +
                                        1585{
                                        +
                                        1586 if (loss == nullptr)
                                        +
                                        1587 {
                                        +
                                        1588 std::cerr << "Error during nnfw_session::train_get_loss : loss is null" << std::endl;
                                        + +
                                        1590 }
                                        +
                                        1591
                                        +
                                        1592 if (!isStateFinishedTraining())
                                        +
                                        1593 {
                                        +
                                        1594 std::cerr << "Error during nnfw_session::train_get_loss : invalid state" << std::endl;
                                        + +
                                        1596 }
                                        +
                                        1597
                                        +
                                        1598 if (index >= getOutputSize())
                                        +
                                        1599 {
                                        +
                                        1600 std::cerr << "Error during nnfw_session::train_get_loss : index is out of range" << std::endl;
                                        +
                                        1601 return NNFW_STATUS_ERROR;
                                        +
                                        1602 }
                                        +
                                        1603
                                        +
                                        1604 try
                                        +
                                        1605 {
                                        +
                                        1606 auto ind = onert::ir::IOIndex(index);
                                        +
                                        1607 *loss = _execution->getLoss(ind);
                                        +
                                        1608 }
                                        +
                                        1609 catch (const std::exception &e)
                                        +
                                        1610 {
                                        +
                                        1611 std::cerr << "Error during nnfw_session::train_get_loss : " << e.what() << std::endl;
                                        +
                                        1612 return NNFW_STATUS_ERROR;
                                        +
                                        1613 }
                                        +
                                        1614
                                        +
                                        1615 return NNFW_STATUS_NO_ERROR;
                                        +
                                        1616}
                                        -
                                        1602
                                        -
                                        - -
                                        1604{
                                        -
                                        1605 if (path == nullptr)
                                        -
                                        1606 {
                                        -
                                        1607 std::cerr << "Error during nnfw_session::train_export_circle : path is null" << std::endl;
                                        - -
                                        1609 }
                                        -
                                        1610
                                        -
                                        1611 // Check training mode is enabled
                                        -
                                        1612 if (!isStateFinishedTraining())
                                        -
                                        1613 {
                                        -
                                        1614 std::cerr << "Error during nnfw_session::train_export_circle : invalid state" << std::endl;
                                        - -
                                        1616 }
                                        1617
                                        -
                                        1618 class MMappedFile
                                        -
                                        1619 {
                                        -
                                        1620 public:
                                        -
                                        1621 MMappedFile(const char *filename) { _fd = open(filename, O_RDWR); }
                                        -
                                        1622
                                        -
                                        1623 bool ensure_mmap()
                                        -
                                        1624 {
                                        -
                                        1625 struct stat file_stat;
                                        -
                                        1626 if (fstat(_fd, &file_stat) != 0 || file_stat.st_size < 0 ||
                                        -
                                        1627 static_cast<uint64_t>(file_stat.st_size) > SIZE_MAX)
                                        -
                                        1628 return false;
                                        -
                                        1629
                                        -
                                        1630 _buf_sz = static_cast<size_t>(file_stat.st_size);
                                        -
                                        1631 _buf = mmap(NULL, _buf_sz, PROT_READ | PROT_WRITE, MAP_SHARED, _fd, 0);
                                        -
                                        1632 return _buf != MAP_FAILED;
                                        -
                                        1633 }
                                        -
                                        1634
                                        -
                                        1635 bool sync() { return msync(_buf, _buf_sz, MS_SYNC) == 0; }
                                        -
                                        1636
                                        -
                                        1637 bool close()
                                        -
                                        1638 {
                                        -
                                        1639 bool ret = false;
                                        -
                                        1640 if (_buf != MAP_FAILED)
                                        -
                                        1641 {
                                        -
                                        1642 ret = munmap(_buf, _buf_sz) == 0;
                                        -
                                        1643 _buf = MAP_FAILED; // mark as cleaned up
                                        -
                                        1644 }
                                        -
                                        1645 if (_fd != -1)
                                        -
                                        1646 {
                                        -
                                        1647 ::close(_fd);
                                        -
                                        1648 _fd = -1; // mark as cleaned up
                                        -
                                        1649 }
                                        -
                                        1650 return ret;
                                        -
                                        1651 }
                                        -
                                        1652
                                        -
                                        1653 ~MMappedFile() { close(); }
                                        -
                                        1654
                                        -
                                        1655 uint8_t *buf() const { return static_cast<uint8_t *>(_buf); }
                                        -
                                        1656 size_t buf_size() const { return _buf_sz; }
                                        -
                                        1657
                                        -
                                        1658 private:
                                        -
                                        1659 int _fd;
                                        -
                                        1660 void *_buf = MAP_FAILED;
                                        -
                                        1661 size_t _buf_sz = 0;
                                        -
                                        1662 };
                                        -
                                        1663
                                        -
                                        1664 MMappedFile mmapfile(path);
                                        -
                                        1665 if (!mmapfile.ensure_mmap())
                                        -
                                        1666 return NNFW_STATUS_ERROR;
                                        +
                                        + +
                                        1619{
                                        +
                                        1620 if (path == nullptr)
                                        +
                                        1621 {
                                        +
                                        1622 std::cerr << "Error during nnfw_session::train_export_circle : path is null" << std::endl;
                                        + +
                                        1624 }
                                        +
                                        1625
                                        +
                                        1626 // Check training mode is enabled
                                        +
                                        1627 if (!isStateFinishedTraining())
                                        +
                                        1628 {
                                        +
                                        1629 std::cerr << "Error during nnfw_session::train_export_circle : invalid state" << std::endl;
                                        + +
                                        1631 }
                                        +
                                        1632
                                        +
                                        1633 class MMappedFile
                                        +
                                        1634 {
                                        +
                                        1635 public:
                                        +
                                        1636 MMappedFile(const char *filename) { _fd = open(filename, O_RDWR); }
                                        +
                                        1637
                                        +
                                        1638 bool ensure_mmap()
                                        +
                                        1639 {
                                        +
                                        1640 struct stat file_stat;
                                        +
                                        1641 if (fstat(_fd, &file_stat) != 0 || file_stat.st_size < 0 ||
                                        +
                                        1642 static_cast<uint64_t>(file_stat.st_size) > SIZE_MAX)
                                        +
                                        1643 return false;
                                        +
                                        1644
                                        +
                                        1645 _buf_sz = static_cast<size_t>(file_stat.st_size);
                                        +
                                        1646 _buf = mmap(NULL, _buf_sz, PROT_READ | PROT_WRITE, MAP_SHARED, _fd, 0);
                                        +
                                        1647 return _buf != MAP_FAILED;
                                        +
                                        1648 }
                                        +
                                        1649
                                        +
                                        1650 bool sync() { return msync(_buf, _buf_sz, MS_SYNC) == 0; }
                                        +
                                        1651
                                        +
                                        1652 bool close()
                                        +
                                        1653 {
                                        +
                                        1654 bool ret = false;
                                        +
                                        1655 if (_buf != MAP_FAILED)
                                        +
                                        1656 {
                                        +
                                        1657 ret = munmap(_buf, _buf_sz) == 0;
                                        +
                                        1658 _buf = MAP_FAILED; // mark as cleaned up
                                        +
                                        1659 }
                                        +
                                        1660 if (_fd != -1)
                                        +
                                        1661 {
                                        +
                                        1662 ::close(_fd);
                                        +
                                        1663 _fd = -1; // mark as cleaned up
                                        +
                                        1664 }
                                        +
                                        1665 return ret;
                                        +
                                        1666 }
                                        1667
                                        -
                                        1668 // make sure the architecture is little endian before direct access to flatbuffers
                                        -
                                        1669 assert(FLATBUFFERS_LITTLEENDIAN);
                                        -
                                        1670
                                        -
                                        1671 try
                                        -
                                        1672 {
                                        -
                                        1673 _execution->iterateTrainableTensors([&](const onert::ir::OperandIndex &idx,
                                        - -
                                        1675 auto model = ::circle::GetModel(mmapfile.buf());
                                        -
                                        1676 if (!model)
                                        -
                                        1677 throw std::runtime_error("Failed to get model from circle");
                                        +
                                        1668 ~MMappedFile() { close(); }
                                        +
                                        1669
                                        +
                                        1670 uint8_t *buf() const { return static_cast<uint8_t *>(_buf); }
                                        +
                                        1671 size_t buf_size() const { return _buf_sz; }
                                        +
                                        1672
                                        +
                                        1673 private:
                                        +
                                        1674 int _fd;
                                        +
                                        1675 void *_buf = MAP_FAILED;
                                        +
                                        1676 size_t _buf_sz = 0;
                                        +
                                        1677 };
                                        1678
                                        -
                                        1679 auto subgs = model->subgraphs();
                                        -
                                        1680 if (!subgs || subgs->size() != 1)
                                        -
                                        1681 throw std::runtime_error("Circle does not has valid subgraph or has multiple subgraphs");
                                        +
                                        1679 MMappedFile mmapfile(path);
                                        +
                                        1680 if (!mmapfile.ensure_mmap())
                                        +
                                        1681 return NNFW_STATUS_ERROR;
                                        1682
                                        -
                                        1683 auto subg = subgs->Get(0); // Get 1st subgraph
                                        -
                                        1684 if (!idx.valid() || idx.value() >= subg->tensors()->size())
                                        -
                                        1685 throw std::runtime_error("Trainable tensor index is out of range");
                                        -
                                        1686
                                        -
                                        1687 auto buf_idx = subg->tensors()->Get(idx.value())->buffer();
                                        -
                                        1688 const ::circle::Buffer *buffer = (*model->buffers())[buf_idx];
                                        -
                                        1689 if (!buffer || !buffer->data())
                                        -
                                        1690 throw std::runtime_error("Buffer for trainable tensors is invalid");
                                        -
                                        1691
                                        -
                                        1692 const flatbuffers::Vector<uint8_t> *array = buffer->data();
                                        -
                                        1693 if (!array)
                                        -
                                        1694 throw std::runtime_error("Data for trainable tensor's buffer is invalid");
                                        -
                                        1695
                                        -
                                        1696 auto org_buf_sz = array->size();
                                        -
                                        1697 if (org_buf_sz != tensor->total_size())
                                        -
                                        1698 throw std::runtime_error("Trained tensor buffer size does not match original tensor's one");
                                        -
                                        1699
                                        -
                                        1700 uint8_t *org_buf = const_cast<uint8_t *>(array->Data());
                                        -
                                        1701 if (!org_buf)
                                        -
                                        1702 throw std::runtime_error("Data for trainable tensor's buffer is invalid");
                                        -
                                        1703
                                        -
                                        1704 memcpy(const_cast<uint8_t *>(org_buf), tensor->buffer(), org_buf_sz);
                                        -
                                        1705 });
                                        -
                                        1706 }
                                        -
                                        1707 catch (const std::exception &e)
                                        -
                                        1708 {
                                        -
                                        1709 std::cerr << "Error during nnfw_session::train_export_circle : " << e.what() << std::endl;
                                        -
                                        1710 return NNFW_STATUS_ERROR;
                                        -
                                        1711 }
                                        -
                                        1712
                                        -
                                        1713 if (mmapfile.sync() == false)
                                        -
                                        1714 return NNFW_STATUS_ERROR;
                                        -
                                        1715
                                        -
                                        1716 if (mmapfile.close() == false)
                                        -
                                        1717 return NNFW_STATUS_ERROR;
                                        +
                                        1683 // make sure the architecture is little endian before direct access to flatbuffers
                                        +
                                        1684 assert(FLATBUFFERS_LITTLEENDIAN);
                                        +
                                        1685
                                        +
                                        1686 try
                                        +
                                        1687 {
                                        +
                                        1688 _execution->iterateTrainableTensors([&](const onert::ir::OperandIndex &idx,
                                        + +
                                        1690 auto model = ::circle::GetModel(mmapfile.buf());
                                        +
                                        1691 if (!model)
                                        +
                                        1692 throw std::runtime_error("Failed to get model from circle");
                                        +
                                        1693
                                        +
                                        1694 auto subgs = model->subgraphs();
                                        +
                                        1695 if (!subgs || subgs->size() != 1)
                                        +
                                        1696 throw std::runtime_error("Circle does not has valid subgraph or has multiple subgraphs");
                                        +
                                        1697
                                        +
                                        1698 auto subg = subgs->Get(0); // Get 1st subgraph
                                        +
                                        1699 if (!idx.valid() || idx.value() >= subg->tensors()->size())
                                        +
                                        1700 throw std::runtime_error("Trainable tensor index is out of range");
                                        +
                                        1701
                                        +
                                        1702 auto buf_idx = subg->tensors()->Get(idx.value())->buffer();
                                        +
                                        1703 const ::circle::Buffer *buffer = (*model->buffers())[buf_idx];
                                        +
                                        1704 if (!buffer || !buffer->data())
                                        +
                                        1705 throw std::runtime_error("Buffer for trainable tensors is invalid");
                                        +
                                        1706
                                        +
                                        1707 const flatbuffers::Vector<uint8_t> *array = buffer->data();
                                        +
                                        1708 if (!array)
                                        +
                                        1709 throw std::runtime_error("Data for trainable tensor's buffer is invalid");
                                        +
                                        1710
                                        +
                                        1711 auto org_buf_sz = array->size();
                                        +
                                        1712 if (org_buf_sz != tensor->total_size())
                                        +
                                        1713 throw std::runtime_error("Trained tensor buffer size does not match original tensor's one");
                                        +
                                        1714
                                        +
                                        1715 uint8_t *org_buf = const_cast<uint8_t *>(array->Data());
                                        +
                                        1716 if (!org_buf)
                                        +
                                        1717 throw std::runtime_error("Data for trainable tensor's buffer is invalid");
                                        1718
                                        -
                                        1719 return NNFW_STATUS_NO_ERROR;
                                        -
                                        1720}
                                        +
                                        1719 memcpy(const_cast<uint8_t *>(org_buf), tensor->buffer(), org_buf_sz);
                                        +
                                        1720 });
                                        +
                                        1721 }
                                        +
                                        1722 catch (const std::exception &e)
                                        +
                                        1723 {
                                        +
                                        1724 std::cerr << "Error during nnfw_session::train_export_circle : " << e.what() << std::endl;
                                        +
                                        1725 return NNFW_STATUS_ERROR;
                                        +
                                        1726 }
                                        +
                                        1727
                                        +
                                        1728 if (mmapfile.sync() == false)
                                        +
                                        1729 return NNFW_STATUS_ERROR;
                                        +
                                        1730
                                        +
                                        1731 if (mmapfile.close() == false)
                                        +
                                        1732 return NNFW_STATUS_ERROR;
                                        +
                                        1733
                                        +
                                        1734 return NNFW_STATUS_NO_ERROR;
                                        +
                                        1735}
                                        -
                                        1721
                                        -
                                        1722bool nnfw_session::isStatePreparedTraining()
                                        -
                                        1723{
                                        -
                                        1724 if (_state == State::PREPARED_TRAINING)
                                        -
                                        1725 {
                                        -
                                        1726 assert(_nnpkg == nullptr);
                                        -
                                        1727 assert(!_coptions.empty());
                                        -
                                        1728 assert(_execution != nullptr);
                                        -
                                        1729 return true;
                                        -
                                        1730 }
                                        -
                                        1731 else
                                        -
                                        1732 return false;
                                        -
                                        1733}
                                        -
                                        1734
                                        -
                                        1735bool nnfw_session::isStateFinishedTraining()
                                        -
                                        1736{
                                        -
                                        1737 if (_state == State::FINISHED_TRAINING)
                                        -
                                        1738 {
                                        -
                                        1739 assert(_nnpkg == nullptr);
                                        -
                                        1740 assert(!_coptions.empty());
                                        -
                                        1741 assert(_execution != nullptr);
                                        -
                                        1742 return true;
                                        -
                                        1743 }
                                        -
                                        1744 else
                                        -
                                        1745 return false;
                                        -
                                        1746}
                                        -
                                        1747
                                        -
                                        1748bool nnfw_session::isStatePreparedOrFinishedTraining()
                                        -
                                        1749{
                                        -
                                        1750 return isStatePreparedTraining() || isStateFinishedTraining();
                                        -
                                        1751}
                                        -
                                        1752
                                        -
                                        - -
                                        1754{
                                        -
                                        1755 try
                                        -
                                        1756 {
                                        -
                                        1757 if (!isStateModelLoaded())
                                        -
                                        1758 {
                                        -
                                        1759 std::cerr << "invalid state" << std::endl;
                                        - -
                                        1761 }
                                        +
                                        1736
                                        +
                                        1737bool nnfw_session::isStatePreparedTraining()
                                        +
                                        1738{
                                        +
                                        1739 if (_state == State::PREPARED_TRAINING)
                                        +
                                        1740 {
                                        +
                                        1741 assert(_nnpkg == nullptr);
                                        +
                                        1742 assert(!_coptions.empty());
                                        +
                                        1743 assert(_execution != nullptr);
                                        +
                                        1744 return true;
                                        +
                                        1745 }
                                        +
                                        1746 else
                                        +
                                        1747 return false;
                                        +
                                        1748}
                                        +
                                        1749
                                        +
                                        1750bool nnfw_session::isStateFinishedTraining()
                                        +
                                        1751{
                                        +
                                        1752 if (_state == State::FINISHED_TRAINING)
                                        +
                                        1753 {
                                        +
                                        1754 assert(_nnpkg == nullptr);
                                        +
                                        1755 assert(!_coptions.empty());
                                        +
                                        1756 assert(_execution != nullptr);
                                        +
                                        1757 return true;
                                        +
                                        1758 }
                                        +
                                        1759 else
                                        +
                                        1760 return false;
                                        +
                                        1761}
                                        1762
                                        -
                                        1763 bool is_q16 = false;
                                        -
                                        1764 switch (qtype)
                                        -
                                        1765 {
                                        - -
                                        1767 break;
                                        - -
                                        1769 is_q16 = true;
                                        -
                                        1770 break;
                                        -
                                        1771 default:
                                        - -
                                        1773 }
                                        -
                                        1774 _quant_manager->quantizeType(is_q16);
                                        -
                                        1775 }
                                        -
                                        1776 catch (const std::exception &e)
                                        -
                                        1777 {
                                        -
                                        1778 std::cerr << "Error during nnfw_session::set_quantization_type : " << e.what() << std::endl;
                                        -
                                        1779 return NNFW_STATUS_ERROR;
                                        -
                                        1780 }
                                        -
                                        1781
                                        -
                                        1782 return NNFW_STATUS_NO_ERROR;
                                        -
                                        1783}
                                        +
                                        1763bool nnfw_session::isStatePreparedOrFinishedTraining()
                                        +
                                        1764{
                                        +
                                        1765 return isStatePreparedTraining() || isStateFinishedTraining();
                                        +
                                        1766}
                                        +
                                        1767
                                        +
                                        + +
                                        1769{
                                        +
                                        1770 try
                                        +
                                        1771 {
                                        +
                                        1772 if (!isStateModelLoaded())
                                        +
                                        1773 {
                                        +
                                        1774 std::cerr << "invalid state" << std::endl;
                                        + +
                                        1776 }
                                        +
                                        1777
                                        +
                                        1778 bool is_q16 = false;
                                        +
                                        1779 switch (qtype)
                                        +
                                        1780 {
                                        + +
                                        1782 break;
                                        + +
                                        1784 is_q16 = true;
                                        +
                                        1785 break;
                                        +
                                        1786 default:
                                        + +
                                        1788 }
                                        +
                                        1789 _quant_manager->quantizeType(is_q16);
                                        +
                                        1790 }
                                        +
                                        1791 catch (const std::exception &e)
                                        +
                                        1792 {
                                        +
                                        1793 std::cerr << "Error during nnfw_session::set_quantization_type : " << e.what() << std::endl;
                                        +
                                        1794 return NNFW_STATUS_ERROR;
                                        +
                                        1795 }
                                        +
                                        1796
                                        +
                                        1797 return NNFW_STATUS_NO_ERROR;
                                        +
                                        1798}
                                        +
                                        +
                                        1799
                                        +
                                        + +
                                        1801{
                                        +
                                        1802 try
                                        +
                                        1803 {
                                        +
                                        1804 if (!isStateModelLoaded())
                                        +
                                        1805 {
                                        +
                                        1806 std::cerr << "invalid state" << std::endl;
                                        + +
                                        1808 }
                                        +
                                        1809
                                        +
                                        1810 _quant_manager->exportModelPath(std::string(path));
                                        +
                                        1811 }
                                        +
                                        1812 catch (const std::exception &e)
                                        +
                                        1813 {
                                        +
                                        1814 std::cerr << "Error during nnfw_session::set_quantized_model_path : " << e.what() << std::endl;
                                        +
                                        1815 return NNFW_STATUS_ERROR;
                                        +
                                        1816 }
                                        +
                                        1817
                                        +
                                        1818 return NNFW_STATUS_NO_ERROR;
                                        +
                                        1819}
                                        +
                                        +
                                        1820
                                        +
                                        + +
                                        1822{
                                        +
                                        1823 try
                                        +
                                        1824 {
                                        +
                                        1825 if (!isStateModelLoaded())
                                        +
                                        1826 {
                                        +
                                        1827 std::cerr << "invalid state" << std::endl;
                                        + +
                                        1829 }
                                        +
                                        1830
                                        +
                                        1831 auto result = _quant_manager->quantize();
                                        +
                                        1832 if (!result)
                                        + +
                                        1834
                                        +
                                        1835 // Replace model
                                        +
                                        1836 // TODO Support buffer replace, not file reload
                                        +
                                        1837 auto model = loadModel(_quant_manager->exportModelPath(), "circle");
                                        +
                                        1838 if (model == nullptr)
                                        +
                                        1839 return NNFW_STATUS_ERROR;
                                        +
                                        1840 // TODO: Update _model_path if necessary
                                        +
                                        1841 _nnpkg->replaceModel(std::move(model));
                                        +
                                        1842 }
                                        +
                                        1843 catch (const std::exception &e)
                                        +
                                        1844 {
                                        +
                                        1845 std::cerr << "Error during nnfw_session::quantize : " << e.what() << std::endl;
                                        +
                                        1846 return NNFW_STATUS_ERROR;
                                        +
                                        1847 }
                                        +
                                        1848
                                        +
                                        1849 return NNFW_STATUS_NO_ERROR;
                                        +
                                        1850}
                                        -
                                        1784
                                        -
                                        - -
                                        1786{
                                        -
                                        1787 try
                                        -
                                        1788 {
                                        -
                                        1789 if (!isStateModelLoaded())
                                        -
                                        1790 {
                                        -
                                        1791 std::cerr << "invalid state" << std::endl;
                                        - -
                                        1793 }
                                        -
                                        1794
                                        -
                                        1795 _quant_manager->exportModelPath(std::string(path));
                                        -
                                        1796 }
                                        -
                                        1797 catch (const std::exception &e)
                                        -
                                        1798 {
                                        -
                                        1799 std::cerr << "Error during nnfw_session::set_quantized_model_path : " << e.what() << std::endl;
                                        -
                                        1800 return NNFW_STATUS_ERROR;
                                        -
                                        1801 }
                                        -
                                        1802
                                        -
                                        1803 return NNFW_STATUS_NO_ERROR;
                                        -
                                        1804}
                                        +
                                        1851
                                        +
                                        + +
                                        1853{
                                        +
                                        1854 try
                                        +
                                        1855 {
                                        +
                                        1856 if (!isStateModelLoaded())
                                        +
                                        1857 {
                                        +
                                        1858 std::cerr << "invalid state" << std::endl;
                                        + +
                                        1860 }
                                        +
                                        1861
                                        +
                                        1862 assert(_codegen_manager != nullptr);
                                        +
                                        1863 _codegen_manager->exportModelPath(std::string(path));
                                        +
                                        1864 }
                                        +
                                        1865 catch (const std::exception &e)
                                        +
                                        1866 {
                                        +
                                        1867 std::cerr << "Error during nnfw_session::set_codegen_model_path : " << e.what() << std::endl;
                                        +
                                        1868 return NNFW_STATUS_ERROR;
                                        +
                                        1869 }
                                        +
                                        1870
                                        +
                                        1871 return NNFW_STATUS_NO_ERROR;
                                        +
                                        1872}
                                        -
                                        1805
                                        -
                                        - -
                                        1807{
                                        -
                                        1808 try
                                        -
                                        1809 {
                                        -
                                        1810 if (!isStateModelLoaded())
                                        -
                                        1811 {
                                        -
                                        1812 std::cerr << "invalid state" << std::endl;
                                        - -
                                        1814 }
                                        -
                                        1815
                                        -
                                        1816 auto result = _quant_manager->quantize();
                                        -
                                        1817 if (!result)
                                        - -
                                        1819
                                        -
                                        1820 // Replace model
                                        -
                                        1821 // TODO Support buffer replace, not file reload
                                        -
                                        1822 auto model = loadModel(_quant_manager->exportModelPath(), "circle");
                                        -
                                        1823 if (model == nullptr)
                                        -
                                        1824 return NNFW_STATUS_ERROR;
                                        -
                                        1825 // TODO: Update _model_path if necessary
                                        -
                                        1826 _nnpkg->replaceModel(std::move(model));
                                        -
                                        1827 }
                                        -
                                        1828 catch (const std::exception &e)
                                        -
                                        1829 {
                                        -
                                        1830 std::cerr << "Error during nnfw_session::quantize : " << e.what() << std::endl;
                                        -
                                        1831 return NNFW_STATUS_ERROR;
                                        -
                                        1832 }
                                        -
                                        1833
                                        -
                                        1834 return NNFW_STATUS_NO_ERROR;
                                        -
                                        1835}
                                        +
                                        1873
                                        +
                                        + +
                                        1875{
                                        +
                                        1876 try
                                        +
                                        1877 {
                                        +
                                        1878 if (!isStateModelLoaded())
                                        +
                                        1879 {
                                        +
                                        1880 std::cerr << "Error during nnfw_session::codegen : Invalid state" << std::endl;
                                        + +
                                        1882 }
                                        +
                                        1883
                                        +
                                        1884 std::string target_str{target};
                                        +
                                        1885 if (target_str.empty() || target_str.substr(target_str.size() - 4) != "-gen")
                                        +
                                        1886 {
                                        +
                                        1887 std::cerr << "Error during nnfw_session::codegen : Invalid target" << std::endl;
                                        +
                                        1888 return NNFW_STATUS_ERROR;
                                        +
                                        1889 }
                                        +
                                        1890
                                        +
                                        1891 onert::odc::CodegenPreference codegen_pref;
                                        +
                                        1892 switch (pref)
                                        +
                                        1893 {
                                        + + +
                                        1896 break;
                                        + + +
                                        1899 break;
                                        + + +
                                        1902 break;
                                        + + +
                                        1905 break;
                                        +
                                        1906 default:
                                        +
                                        1907 std::cerr << "Error during nnfw_session::codegen : Invalid preference" << std::endl;
                                        +
                                        1908 return NNFW_STATUS_ERROR;
                                        +
                                        1909 }
                                        +
                                        1910
                                        +
                                        1911 assert(_codegen_manager != nullptr);
                                        +
                                        1912 auto export_model_path = _codegen_manager->exportModelPath();
                                        +
                                        1913 // If the export_model_path is not set, it generates a compiled model path
                                        +
                                        1914 // automatically.
                                        +
                                        1915 if (export_model_path.empty())
                                        +
                                        1916 {
                                        +
                                        1917 // model path always has a dot. (valid extension)
                                        +
                                        1918 auto dotidx = _model_path.rfind('.');
                                        +
                                        1919 assert(dotidx != std::string::npos);
                                        +
                                        1920 auto genidx = target_str.rfind("-gen");
                                        +
                                        1921 assert(genidx != std::string::npos);
                                        +
                                        1922 // The compiled model path is the same directory of the original model/package with
                                        +
                                        1923 // target backend extension.
                                        +
                                        1924 export_model_path = _model_path.substr(0, dotidx + 1) + target_str.substr(0, genidx);
                                        +
                                        1925 _codegen_manager->exportModelPath(export_model_path);
                                        +
                                        1926 }
                                        +
                                        1927
                                        +
                                        1928 _codegen_manager->codegen(target, codegen_pref);
                                        +
                                        1929
                                        +
                                        1930 // Replace model
                                        +
                                        1931 // TODO Support buffer replace, not file reload
                                        +
                                        1932 // TODO: Use std::filesystem::path when we can use c++17.
                                        +
                                        1933 auto dotidx = export_model_path.rfind('.');
                                        +
                                        1934 if (dotidx == std::string::npos)
                                        +
                                        1935 {
                                        +
                                        1936 std::cerr << "Error during nnfw_session::codegen : Invalid compiled model path. Please use a "
                                        +
                                        1937 "path that includes the extension."
                                        +
                                        1938 << std::endl;
                                        +
                                        1939 return NNFW_STATUS_ERROR;
                                        +
                                        1940 }
                                        +
                                        1941
                                        +
                                        1942 std::string model_type = export_model_path.substr(dotidx + 1); // + 1 to exclude dot
                                        +
                                        1943 auto model = loadModel(export_model_path, model_type);
                                        +
                                        1944 if (model == nullptr)
                                        +
                                        1945 return NNFW_STATUS_ERROR;
                                        +
                                        1946
                                        +
                                        1947 // TODO: Update _model_path if necessary
                                        +
                                        1948 _nnpkg->replaceModel(std::move(model));
                                        +
                                        1949 }
                                        +
                                        1950 catch (const std::exception &e)
                                        +
                                        1951 {
                                        +
                                        1952 std::cerr << "Error during nnfw_session::compile : " << e.what() << std::endl;
                                        +
                                        1953 return NNFW_STATUS_ERROR;
                                        +
                                        1954 }
                                        +
                                        1955
                                        +
                                        1956 return NNFW_STATUS_NO_ERROR;
                                        +
                                        1957}
                                        +
                                        This file defines execution.
                                        + @@ -2068,9 +2196,15 @@
                                        OpCode toOpCode(const std::string str)
                                        Definition OpCode.cc:36
                                        +
                                        std::unique_ptr< ir::Model > loadModel(const std::string &filename, const std::string &type)
                                        Create custom loader and load model from file.
                                        + + + + +
                                        std::unique_ptr< ir::Model > loadModel(const std::string &filename)
                                        const char *const TRAININFO_METADATA_NAME
                                        -
                                        std::unique_ptr< ir::train::TrainingInfo > loadTrainingInfo(const uint8_t *buffer, const size_t size)
                                        +
                                        std::unique_ptr< ir::train::TrainingInfo > loadTrainingInfo(const uint8_t *buffer, const size_t size)
                                        std::unique_ptr< ir::Model > loadModel(const std::string &filename)
                                        std::unordered_map< std::string, std::string > CfgKeyValues
                                        @@ -2096,10 +2230,10 @@
                                        @ NNFW_LAYOUT_CHANNELS_LAST
                                        Definition nnfw.h:139
                                        @ NNFW_LAYOUT_CHANNELS_FIRST
                                        Definition nnfw.h:144
                                        @ NNFW_LAYOUT_NONE
                                        Definition nnfw.h:134
                                        -
                                        #define MAX_TENSOR_NAME_LENGTH
                                        -
                                        #define MAX_BACKEND_NAME_LENGTH
                                        -
                                        #define MAX_OP_NAME_LENGTH
                                        -
                                        #define MAX_PATH_LENGTH
                                        +
                                        #define MAX_TENSOR_NAME_LENGTH
                                        +
                                        #define MAX_BACKEND_NAME_LENGTH
                                        +
                                        #define MAX_OP_NAME_LENGTH
                                        +
                                        #define MAX_PATH_LENGTH
                                        NNFW_TRAIN_LOSS_REDUCTION
                                        @ NNFW_TRAIN_LOSS_REDUCTION_UNDEFINED
                                        @@ -2110,6 +2244,11 @@
                                        @ NNFW_TRAIN_OPTIMIZER_ADAM
                                        @ NNFW_TRAIN_OPTIMIZER_SGD
                                        @ NNFW_TRAIN_OPTIMIZER_UNDEFINED
                                        +
                                        NNFW_CODEGEN_PREF
                                        Preference for target-dependent code generation.
                                        +
                                        @ NNFW_CODEGEN_PREF_DEFAULT
                                        +
                                        @ NNFW_CODEGEN_PREF_MEMORY_FIRST
                                        +
                                        @ NNFW_CODEGEN_PREF_COMPILE_TIME_FIRST
                                        +
                                        @ NNFW_CODEGEN_PREF_PERFORMANCE_FIRST
                                        NNFW_QUANTIZE_TYPE
                                        Convert between training mode and inference mode.
                                        @ NNFW_QUANTIZE_TYPE_U8_ASYM
                                        @ NNFW_QUANTIZE_TYPE_I16_SYM
                                        @@ -2120,51 +2259,53 @@
                                        int32_t size[5]
                                        Definition Slice.cpp:35
                                        int32_t begin[5]
                                        Definition Slice.cpp:33
                                        This file contains helper functions for std::string.
                                        - -
                                        NNFW_STATUS train_prepare()
                                        -
                                        NNFW_STATUS run()
                                        -
                                        NNFW_STATUS train_set_output(uint32_t index, NNFW_TYPE type, void *buffer, size_t length)
                                        -
                                        NNFW_STATUS train_get_traininfo(nnfw_train_info *info)
                                        -
                                        NNFW_STATUS set_config(const char *key, const char *value)
                                        -
                                        NNFW_STATUS train_run(bool update_weights)
                                        -
                                        NNFW_STATUS input_tensorinfo(uint32_t index, nnfw_tensorinfo *ti)
                                        -
                                        NNFW_STATUS output_tensorinfo(uint32_t index, nnfw_tensorinfo *ti)
                                        -
                                        NNFW_STATUS set_input_tensorinfo(uint32_t index, const nnfw_tensorinfo *ti)
                                        -
                                        NNFW_STATUS input_tensorindex(const char *tensorname, uint32_t *index)
                                        -
                                        NNFW_STATUS set_output(uint32_t index, NNFW_TYPE type, void *buffer, size_t length)
                                        -
                                        NNFW_STATUS train_expected_tensorinfo(uint32_t index, nnfw_tensorinfo *ti)
                                        -
                                        NNFW_STATUS set_input(uint32_t index, NNFW_TYPE type, const void *buffer, size_t length)
                                        -
                                        NNFW_STATUS output_size(uint32_t *number)
                                        -
                                        NNFW_STATUS train_get_loss(uint32_t index, float *loss)
                                        -
                                        NNFW_STATUS prepare()
                                        -
                                        NNFW_STATUS set_backends_per_operation(const char *backend_settings)
                                        Set backends with string-encoded mapping from operation index to backend type (cpu,...
                                        -
                                        NNFW_STATUS set_quantization_type(NNFW_QUANTIZE_TYPE qtype)
                                        -
                                        NNFW_STATUS input_size(uint32_t *number)
                                        -
                                        NNFW_STATUS run_async()
                                        -
                                        NNFW_STATUS set_available_backends(const char *backends)
                                        -
                                        NNFW_STATUS await()
                                        -
                                        NNFW_STATUS get_config(const char *key, char *value, size_t value_size)
                                        -
                                        NNFW_STATUS load_model_from_modelfile(const char *file_path)
                                        -
                                        NNFW_STATUS apply_tensorinfo(uint32_t index, nnfw_tensorinfo ti)
                                        -
                                        NNFW_STATUS set_output_layout(uint32_t index, NNFW_LAYOUT layout)
                                        + +
                                        NNFW_STATUS train_prepare()
                                        +
                                        NNFW_STATUS run()
                                        +
                                        NNFW_STATUS train_set_output(uint32_t index, NNFW_TYPE type, void *buffer, size_t length)
                                        +
                                        NNFW_STATUS train_get_traininfo(nnfw_train_info *info)
                                        +
                                        NNFW_STATUS set_config(const char *key, const char *value)
                                        +
                                        NNFW_STATUS train_run(bool update_weights)
                                        +
                                        NNFW_STATUS input_tensorinfo(uint32_t index, nnfw_tensorinfo *ti)
                                        +
                                        NNFW_STATUS output_tensorinfo(uint32_t index, nnfw_tensorinfo *ti)
                                        +
                                        NNFW_STATUS set_input_tensorinfo(uint32_t index, const nnfw_tensorinfo *ti)
                                        +
                                        NNFW_STATUS input_tensorindex(const char *tensorname, uint32_t *index)
                                        +
                                        NNFW_STATUS set_output(uint32_t index, NNFW_TYPE type, void *buffer, size_t length)
                                        +
                                        NNFW_STATUS train_expected_tensorinfo(uint32_t index, nnfw_tensorinfo *ti)
                                        +
                                        NNFW_STATUS set_codegen_model_path(const char *path)
                                        +
                                        NNFW_STATUS set_input(uint32_t index, NNFW_TYPE type, const void *buffer, size_t length)
                                        +
                                        NNFW_STATUS output_size(uint32_t *number)
                                        +
                                        NNFW_STATUS train_get_loss(uint32_t index, float *loss)
                                        +
                                        NNFW_STATUS prepare()
                                        +
                                        NNFW_STATUS set_backends_per_operation(const char *backend_settings)
                                        Set backends with string-encoded mapping from operation index to backend type (cpu,...
                                        +
                                        NNFW_STATUS set_quantization_type(NNFW_QUANTIZE_TYPE qtype)
                                        +
                                        NNFW_STATUS input_size(uint32_t *number)
                                        +
                                        NNFW_STATUS run_async()
                                        +
                                        NNFW_STATUS set_available_backends(const char *backends)
                                        +
                                        NNFW_STATUS await()
                                        +
                                        NNFW_STATUS get_config(const char *key, char *value, size_t value_size)
                                        +
                                        NNFW_STATUS load_model_from_modelfile(const char *file_path)
                                        +
                                        NNFW_STATUS codegen(const char *target, NNFW_CODEGEN_PREF pref)
                                        +
                                        NNFW_STATUS apply_tensorinfo(uint32_t index, nnfw_tensorinfo ti)
                                        +
                                        NNFW_STATUS set_output_layout(uint32_t index, NNFW_LAYOUT layout)
                                        -
                                        NNFW_STATUS train_input_tensorinfo(uint32_t index, nnfw_tensorinfo *ti)
                                        -
                                        NNFW_STATUS register_custom_operation(const std::string &id, nnfw_custom_eval eval_func)
                                        -
                                        NNFW_STATUS train_export_circle(const char *path)
                                        -
                                        NNFW_STATUS load_model_from_nnpackage(const char *package_file_path)
                                        -
                                        NNFW_STATUS output_tensorindex(const char *tensorname, uint32_t *index)
                                        -
                                        NNFW_STATUS set_quantized_model_path(const char *path)
                                        -
                                        static NNFW_STATUS create(nnfw_session **session)
                                        Factory method. It creates and initialize nnfw_session.
                                        -
                                        NNFW_STATUS load_circle_from_buffer(uint8_t *buffer, size_t size)
                                        -
                                        NNFW_STATUS set_op_backend(const char *op, const char *backend)
                                        -
                                        NNFW_STATUS train_set_input(uint32_t index, const void *input, const nnfw_tensorinfo *input_tensorinfo)
                                        -
                                        NNFW_STATUS train_set_expected(uint32_t index, const void *expected, const nnfw_tensorinfo *expected_tensorinfo)
                                        -
                                        NNFW_STATUS set_input_layout(uint32_t index, NNFW_LAYOUT layout)
                                        -
                                        NNFW_STATUS prepare_pipeline(const char *map_file_path)
                                        -
                                        NNFW_STATUS train_set_traininfo(const nnfw_train_info *info)
                                        -
                                        NNFW_STATUS pop_pipeline_output(std::vector< void * > *outputs)
                                        -
                                        NNFW_STATUS push_pipeline_input(std::vector< void * > *inputs, std::vector< uint32_t > *lengths)
                                        -
                                        NNFW_STATUS quantize()
                                        +
                                        NNFW_STATUS train_input_tensorinfo(uint32_t index, nnfw_tensorinfo *ti)
                                        +
                                        NNFW_STATUS register_custom_operation(const std::string &id, nnfw_custom_eval eval_func)
                                        +
                                        NNFW_STATUS train_export_circle(const char *path)
                                        +
                                        NNFW_STATUS load_model_from_nnpackage(const char *package_file_path)
                                        +
                                        NNFW_STATUS output_tensorindex(const char *tensorname, uint32_t *index)
                                        +
                                        NNFW_STATUS set_quantized_model_path(const char *path)
                                        +
                                        static NNFW_STATUS create(nnfw_session **session)
                                        Factory method. It creates and initialize nnfw_session.
                                        +
                                        NNFW_STATUS load_circle_from_buffer(uint8_t *buffer, size_t size)
                                        +
                                        NNFW_STATUS set_op_backend(const char *op, const char *backend)
                                        +
                                        NNFW_STATUS train_set_input(uint32_t index, const void *input, const nnfw_tensorinfo *input_tensorinfo)
                                        +
                                        NNFW_STATUS train_set_expected(uint32_t index, const void *expected, const nnfw_tensorinfo *expected_tensorinfo)
                                        +
                                        NNFW_STATUS set_input_layout(uint32_t index, NNFW_LAYOUT layout)
                                        +
                                        NNFW_STATUS prepare_pipeline(const char *map_file_path)
                                        +
                                        NNFW_STATUS train_set_traininfo(const nnfw_train_info *info)
                                        +
                                        NNFW_STATUS pop_pipeline_output(std::vector< void * > *outputs)
                                        +
                                        NNFW_STATUS push_pipeline_input(std::vector< void * > *inputs, std::vector< uint32_t > *lengths)
                                        +
                                        NNFW_STATUS quantize()
                                        tensor info describes the type and shape of tensors
                                        Definition nnfw.h:176
                                        NNFW_TYPE dtype
                                        Definition nnfw.h:178
                                        int32_t dims[NNFW_MAX_RANK]
                                        Definition nnfw.h:185
                                        diff --git a/nnfw__api__internal_8h_source.html b/nnfw__api__internal_8h_source.html index 5d924a06aca..e2cc56ddbe5 100644 --- a/nnfw__api__internal_8h_source.html +++ b/nnfw__api__internal_8h_source.html @@ -161,141 +161,147 @@
                                        55namespace odc
                                        56{
                                        57class QuantizeManager;
                                        -
                                        58} // namespace odc
                                        +
                                        58class CodegenManager;
                                        +
                                        59} // namespace odc
                                        -
                                        59} // namespace onert
                                        -
                                        60
                                        -
                                        - -
                                        62{
                                        -
                                        63private:
                                        -
                                        99 enum class State
                                        -
                                        100 {
                                        -
                                        101 INITIALIZED, //< Session is initialized and nothing has done to it
                                        -
                                        102 MODEL_LOADED, //< Model is loaded
                                        -
                                        103 PREPARED, //< Prepared(compiled) for execution
                                        -
                                        104 RUNNING, //< Execution is in progress (only for asynchronous execution)
                                        -
                                        105 FINISHED_RUN, //< Executed at least once
                                        -
                                        106 PREPARED_TRAINING, //< Prepared for training
                                        -
                                        107 FINISHED_TRAINING //< Trained at least once
                                        -
                                        108 };
                                        -
                                        109
                                        -
                                        110public:
                                        -
                                        116 static NNFW_STATUS create(nnfw_session **session);
                                        -
                                        117
                                        -
                                        118private:
                                        -
                                        119 nnfw_session();
                                        -
                                        120
                                        -
                                        121public:
                                        - -
                                        123 NNFW_STATUS load_model_from_nnpackage(const char *package_file_path);
                                        - -
                                        125 NNFW_STATUS prepare_pipeline(const char *map_file_path);
                                        - -
                                        127
                                        - - -
                                        130
                                        -
                                        131 NNFW_STATUS set_input(uint32_t index, NNFW_TYPE type, const void *buffer, size_t length);
                                        -
                                        132 NNFW_STATUS set_output(uint32_t index, NNFW_TYPE type, void *buffer, size_t length);
                                        -
                                        133
                                        -
                                        134 NNFW_STATUS input_size(uint32_t *number);
                                        -
                                        135 NNFW_STATUS output_size(uint32_t *number);
                                        -
                                        136
                                        -
                                        137 NNFW_STATUS set_input_layout(uint32_t index, NNFW_LAYOUT layout);
                                        -
                                        138 NNFW_STATUS set_output_layout(uint32_t index, NNFW_LAYOUT layout);
                                        -
                                        139
                                        -
                                        140 NNFW_STATUS apply_tensorinfo(uint32_t index, nnfw_tensorinfo ti); // Will be deprecated
                                        -
                                        141 NNFW_STATUS set_input_tensorinfo(uint32_t index, const nnfw_tensorinfo *ti);
                                        -
                                        142
                                        -
                                        143 NNFW_STATUS input_tensorinfo(uint32_t index, nnfw_tensorinfo *ti);
                                        -
                                        144 NNFW_STATUS output_tensorinfo(uint32_t index, nnfw_tensorinfo *ti);
                                        -
                                        145
                                        - -
                                        147 NNFW_STATUS set_op_backend(const char *op, const char *backend);
                                        -
                                        148
                                        -
                                        149 //
                                        -
                                        150 // Internal-only API
                                        -
                                        151 //
                                        -
                                        152
                                        -
                                        153 NNFW_STATUS set_config(const char *key, const char *value);
                                        -
                                        154 NNFW_STATUS get_config(const char *key, char *value, size_t value_size);
                                        -
                                        155 NNFW_STATUS load_circle_from_buffer(uint8_t *buffer, size_t size);
                                        -
                                        156 NNFW_STATUS load_model_from_modelfile(const char *file_path);
                                        -
                                        157
                                        -
                                        158 //
                                        -
                                        159 // Experimental API
                                        -
                                        160 //
                                        -
                                        161 NNFW_STATUS push_pipeline_input(std::vector<void *> *inputs, std::vector<uint32_t> *lengths);
                                        -
                                        162 NNFW_STATUS pop_pipeline_output(std::vector<void *> *outputs);
                                        -
                                        163
                                        -
                                        164 NNFW_STATUS register_custom_operation(const std::string &id, nnfw_custom_eval eval_func);
                                        -
                                        165 NNFW_STATUS input_tensorindex(const char *tensorname, uint32_t *index);
                                        -
                                        166 NNFW_STATUS output_tensorindex(const char *tensorname, uint32_t *index);
                                        -
                                        171 NNFW_STATUS set_backends_per_operation(const char *backend_settings);
                                        -
                                        172
                                        - - - - - -
                                        178 NNFW_STATUS train_set_input(uint32_t index, const void *input,
                                        - -
                                        180 NNFW_STATUS train_set_expected(uint32_t index, const void *expected,
                                        -
                                        181 const nnfw_tensorinfo *expected_tensorinfo);
                                        -
                                        182 NNFW_STATUS train_set_output(uint32_t index, NNFW_TYPE type, void *buffer, size_t length);
                                        -
                                        183 NNFW_STATUS train_run(bool update_weights);
                                        -
                                        184 NNFW_STATUS train_get_loss(uint32_t index, float *loss);
                                        -
                                        185 NNFW_STATUS train_export_circle(const char *path);
                                        -
                                        186
                                        - -
                                        188 NNFW_STATUS set_quantized_model_path(const char *path);
                                        - -
                                        190
                                        -
                                        191private:
                                        -
                                        192 const onert::ir::IGraph *primary_subgraph();
                                        -
                                        193 uint32_t getInputSize();
                                        -
                                        194 uint32_t getOutputSize();
                                        -
                                        195
                                        -
                                        196 bool isStateInitialized();
                                        -
                                        197 bool isStateModelLoaded();
                                        -
                                        198 bool isStatePrepared();
                                        -
                                        199 bool isStateRunning();
                                        -
                                        200 bool isStateFinishedRun();
                                        -
                                        201 bool isStatePreparedOrFinishedRun();
                                        -
                                        202 bool isStatePreparedTraining();
                                        -
                                        203 bool isStateFinishedTraining();
                                        -
                                        204 bool isStatePreparedOrFinishedTraining();
                                        -
                                        205
                                        -
                                        206private:
                                        -
                                        207 State _state{State::INITIALIZED};
                                        -
                                        208 std::shared_ptr<onert::ir::NNPkg> _nnpkg;
                                        -
                                        209 std::vector<std::unique_ptr<onert::compiler::CompilerOptions>> _coptions;
                                        -
                                        210 std::shared_ptr<onert::compiler::CompilerArtifact> _compiler_artifact;
                                        -
                                        211 std::unique_ptr<onert::exec::Execution> _execution;
                                        -
                                        212 std::shared_ptr<onert::api::CustomKernelRegistry> _kernel_registry;
                                        -
                                        213 std::vector<std::thread> _threads;
                                        -
                                        214 std::unique_ptr<onert::ir::train::TrainingInfo> _train_info;
                                        -
                                        215 std::unique_ptr<onert::odc::QuantizeManager> _quant_manager;
                                        -
                                        216 // Remember path to loaded original model
                                        -
                                        217 // It may be used for on-device compiler / on-device training.
                                        -
                                        218 //
                                        -
                                        219 // If necessary, we may replace _model_path to _model_origin like:
                                        -
                                        220 //
                                        -
                                        221 // union _model_origin {
                                        -
                                        222 // const char *path;
                                        -
                                        223 // const uint8 *buf;
                                        -
                                        224 // }
                                        -
                                        225 std::string _model_path;
                                        -
                                        226};
                                        +
                                        60} // namespace onert
                                        +
                                        61
                                        +
                                        + +
                                        63{
                                        +
                                        64private:
                                        +
                                        100 enum class State
                                        +
                                        101 {
                                        +
                                        102 INITIALIZED, //< Session is initialized and nothing has done to it
                                        +
                                        103 MODEL_LOADED, //< Model is loaded
                                        +
                                        104 PREPARED, //< Prepared(compiled) for execution
                                        +
                                        105 RUNNING, //< Execution is in progress (only for asynchronous execution)
                                        +
                                        106 FINISHED_RUN, //< Executed at least once
                                        +
                                        107 PREPARED_TRAINING, //< Prepared for training
                                        +
                                        108 FINISHED_TRAINING //< Trained at least once
                                        +
                                        109 };
                                        +
                                        110
                                        +
                                        111public:
                                        +
                                        117 static NNFW_STATUS create(nnfw_session **session);
                                        +
                                        118
                                        +
                                        119private:
                                        +
                                        120 nnfw_session();
                                        +
                                        121
                                        +
                                        122public:
                                        + +
                                        124 NNFW_STATUS load_model_from_nnpackage(const char *package_file_path);
                                        + +
                                        126 NNFW_STATUS prepare_pipeline(const char *map_file_path);
                                        + +
                                        128
                                        + + +
                                        131
                                        +
                                        132 NNFW_STATUS set_input(uint32_t index, NNFW_TYPE type, const void *buffer, size_t length);
                                        +
                                        133 NNFW_STATUS set_output(uint32_t index, NNFW_TYPE type, void *buffer, size_t length);
                                        +
                                        134
                                        +
                                        135 NNFW_STATUS input_size(uint32_t *number);
                                        +
                                        136 NNFW_STATUS output_size(uint32_t *number);
                                        +
                                        137
                                        +
                                        138 NNFW_STATUS set_input_layout(uint32_t index, NNFW_LAYOUT layout);
                                        +
                                        139 NNFW_STATUS set_output_layout(uint32_t index, NNFW_LAYOUT layout);
                                        +
                                        140
                                        +
                                        141 NNFW_STATUS apply_tensorinfo(uint32_t index, nnfw_tensorinfo ti); // Will be deprecated
                                        +
                                        142 NNFW_STATUS set_input_tensorinfo(uint32_t index, const nnfw_tensorinfo *ti);
                                        +
                                        143
                                        +
                                        144 NNFW_STATUS input_tensorinfo(uint32_t index, nnfw_tensorinfo *ti);
                                        +
                                        145 NNFW_STATUS output_tensorinfo(uint32_t index, nnfw_tensorinfo *ti);
                                        +
                                        146
                                        + +
                                        148 NNFW_STATUS set_op_backend(const char *op, const char *backend);
                                        +
                                        149
                                        +
                                        150 //
                                        +
                                        151 // Internal-only API
                                        +
                                        152 //
                                        +
                                        153
                                        +
                                        154 NNFW_STATUS set_config(const char *key, const char *value);
                                        +
                                        155 NNFW_STATUS get_config(const char *key, char *value, size_t value_size);
                                        +
                                        156 NNFW_STATUS load_circle_from_buffer(uint8_t *buffer, size_t size);
                                        +
                                        157 NNFW_STATUS load_model_from_modelfile(const char *file_path);
                                        +
                                        158
                                        +
                                        159 //
                                        +
                                        160 // Experimental API
                                        +
                                        161 //
                                        +
                                        162 NNFW_STATUS push_pipeline_input(std::vector<void *> *inputs, std::vector<uint32_t> *lengths);
                                        +
                                        163 NNFW_STATUS pop_pipeline_output(std::vector<void *> *outputs);
                                        +
                                        164
                                        +
                                        165 NNFW_STATUS register_custom_operation(const std::string &id, nnfw_custom_eval eval_func);
                                        +
                                        166 NNFW_STATUS input_tensorindex(const char *tensorname, uint32_t *index);
                                        +
                                        167 NNFW_STATUS output_tensorindex(const char *tensorname, uint32_t *index);
                                        +
                                        172 NNFW_STATUS set_backends_per_operation(const char *backend_settings);
                                        +
                                        173
                                        + + + + + +
                                        179 NNFW_STATUS train_set_input(uint32_t index, const void *input,
                                        + +
                                        181 NNFW_STATUS train_set_expected(uint32_t index, const void *expected,
                                        +
                                        182 const nnfw_tensorinfo *expected_tensorinfo);
                                        +
                                        183 NNFW_STATUS train_set_output(uint32_t index, NNFW_TYPE type, void *buffer, size_t length);
                                        +
                                        184 NNFW_STATUS train_run(bool update_weights);
                                        +
                                        185 NNFW_STATUS train_get_loss(uint32_t index, float *loss);
                                        +
                                        186 NNFW_STATUS train_export_circle(const char *path);
                                        +
                                        187
                                        + +
                                        189 NNFW_STATUS set_quantized_model_path(const char *path);
                                        + +
                                        191
                                        +
                                        192 NNFW_STATUS set_codegen_model_path(const char *path);
                                        +
                                        193 NNFW_STATUS codegen(const char *target, NNFW_CODEGEN_PREF pref);
                                        +
                                        194
                                        +
                                        195private:
                                        +
                                        196 const onert::ir::IGraph *primary_subgraph();
                                        +
                                        197 uint32_t getInputSize();
                                        +
                                        198 uint32_t getOutputSize();
                                        +
                                        199
                                        +
                                        200 bool isStateInitialized();
                                        +
                                        201 bool isStateModelLoaded();
                                        +
                                        202 bool isStatePrepared();
                                        +
                                        203 bool isStateRunning();
                                        +
                                        204 bool isStateFinishedRun();
                                        +
                                        205 bool isStatePreparedOrFinishedRun();
                                        +
                                        206 bool isStatePreparedTraining();
                                        +
                                        207 bool isStateFinishedTraining();
                                        +
                                        208 bool isStatePreparedOrFinishedTraining();
                                        +
                                        209
                                        +
                                        210private:
                                        +
                                        211 State _state{State::INITIALIZED};
                                        +
                                        212 std::shared_ptr<onert::ir::NNPkg> _nnpkg;
                                        +
                                        213 std::vector<std::unique_ptr<onert::compiler::CompilerOptions>> _coptions;
                                        +
                                        214 std::shared_ptr<onert::compiler::CompilerArtifact> _compiler_artifact;
                                        +
                                        215 std::unique_ptr<onert::exec::Execution> _execution;
                                        +
                                        216 std::shared_ptr<onert::api::CustomKernelRegistry> _kernel_registry;
                                        +
                                        217 std::vector<std::thread> _threads;
                                        +
                                        218 std::unique_ptr<onert::ir::train::TrainingInfo> _train_info;
                                        +
                                        219 std::unique_ptr<onert::odc::QuantizeManager> _quant_manager;
                                        +
                                        220 std::unique_ptr<onert::odc::CodegenManager> _codegen_manager;
                                        +
                                        221 // Remember path to loaded original model
                                        +
                                        222 // It may be used for on-device compiler / on-device training.
                                        +
                                        223 //
                                        +
                                        224 // If necessary, we may replace _model_path to _model_origin like:
                                        +
                                        225 //
                                        +
                                        226 // union _model_origin {
                                        +
                                        227 // const char *path;
                                        +
                                        228 // const uint8 *buf;
                                        +
                                        229 // }
                                        +
                                        230 std::string _model_path;
                                        +
                                        231};
                                        -
                                        227
                                        -
                                        228#endif // __API_NNFW_API_INTERNAL_H__
                                        +
                                        232
                                        +
                                        233#endif // __API_NNFW_API_INTERNAL_H__
                                        +
                                        volatile const char info[]
                                        @@ -306,53 +312,56 @@
                                        NNFW_LAYOUT
                                        Data format of a tensor.
                                        Definition nnfw.h:132
                                        void(* nnfw_custom_eval)(nnfw_custom_kernel_params *params, char *userdata, size_t userdata_size)
                                        +
                                        NNFW_CODEGEN_PREF
                                        Preference for target-dependent code generation.
                                        NNFW_QUANTIZE_TYPE
                                        Convert between training mode and inference mode.
                                        int32_t size[5]
                                        Definition Slice.cpp:35
                                        - -
                                        NNFW_STATUS train_prepare()
                                        -
                                        NNFW_STATUS run()
                                        -
                                        NNFW_STATUS train_set_output(uint32_t index, NNFW_TYPE type, void *buffer, size_t length)
                                        -
                                        NNFW_STATUS train_get_traininfo(nnfw_train_info *info)
                                        -
                                        NNFW_STATUS set_config(const char *key, const char *value)
                                        -
                                        NNFW_STATUS train_run(bool update_weights)
                                        -
                                        NNFW_STATUS input_tensorinfo(uint32_t index, nnfw_tensorinfo *ti)
                                        -
                                        NNFW_STATUS output_tensorinfo(uint32_t index, nnfw_tensorinfo *ti)
                                        -
                                        NNFW_STATUS set_input_tensorinfo(uint32_t index, const nnfw_tensorinfo *ti)
                                        -
                                        NNFW_STATUS input_tensorindex(const char *tensorname, uint32_t *index)
                                        -
                                        NNFW_STATUS set_output(uint32_t index, NNFW_TYPE type, void *buffer, size_t length)
                                        -
                                        NNFW_STATUS train_expected_tensorinfo(uint32_t index, nnfw_tensorinfo *ti)
                                        -
                                        NNFW_STATUS set_input(uint32_t index, NNFW_TYPE type, const void *buffer, size_t length)
                                        -
                                        NNFW_STATUS output_size(uint32_t *number)
                                        -
                                        NNFW_STATUS train_get_loss(uint32_t index, float *loss)
                                        -
                                        NNFW_STATUS prepare()
                                        -
                                        NNFW_STATUS set_backends_per_operation(const char *backend_settings)
                                        Set backends with string-encoded mapping from operation index to backend type (cpu,...
                                        -
                                        NNFW_STATUS set_quantization_type(NNFW_QUANTIZE_TYPE qtype)
                                        -
                                        NNFW_STATUS input_size(uint32_t *number)
                                        -
                                        NNFW_STATUS run_async()
                                        -
                                        NNFW_STATUS set_available_backends(const char *backends)
                                        -
                                        NNFW_STATUS await()
                                        -
                                        NNFW_STATUS get_config(const char *key, char *value, size_t value_size)
                                        -
                                        NNFW_STATUS load_model_from_modelfile(const char *file_path)
                                        -
                                        NNFW_STATUS apply_tensorinfo(uint32_t index, nnfw_tensorinfo ti)
                                        -
                                        NNFW_STATUS set_output_layout(uint32_t index, NNFW_LAYOUT layout)
                                        + +
                                        NNFW_STATUS train_prepare()
                                        +
                                        NNFW_STATUS run()
                                        +
                                        NNFW_STATUS train_set_output(uint32_t index, NNFW_TYPE type, void *buffer, size_t length)
                                        +
                                        NNFW_STATUS train_get_traininfo(nnfw_train_info *info)
                                        +
                                        NNFW_STATUS set_config(const char *key, const char *value)
                                        +
                                        NNFW_STATUS train_run(bool update_weights)
                                        +
                                        NNFW_STATUS input_tensorinfo(uint32_t index, nnfw_tensorinfo *ti)
                                        +
                                        NNFW_STATUS output_tensorinfo(uint32_t index, nnfw_tensorinfo *ti)
                                        +
                                        NNFW_STATUS set_input_tensorinfo(uint32_t index, const nnfw_tensorinfo *ti)
                                        +
                                        NNFW_STATUS input_tensorindex(const char *tensorname, uint32_t *index)
                                        +
                                        NNFW_STATUS set_output(uint32_t index, NNFW_TYPE type, void *buffer, size_t length)
                                        +
                                        NNFW_STATUS train_expected_tensorinfo(uint32_t index, nnfw_tensorinfo *ti)
                                        +
                                        NNFW_STATUS set_codegen_model_path(const char *path)
                                        +
                                        NNFW_STATUS set_input(uint32_t index, NNFW_TYPE type, const void *buffer, size_t length)
                                        +
                                        NNFW_STATUS output_size(uint32_t *number)
                                        +
                                        NNFW_STATUS train_get_loss(uint32_t index, float *loss)
                                        +
                                        NNFW_STATUS prepare()
                                        +
                                        NNFW_STATUS set_backends_per_operation(const char *backend_settings)
                                        Set backends with string-encoded mapping from operation index to backend type (cpu,...
                                        +
                                        NNFW_STATUS set_quantization_type(NNFW_QUANTIZE_TYPE qtype)
                                        +
                                        NNFW_STATUS input_size(uint32_t *number)
                                        +
                                        NNFW_STATUS run_async()
                                        +
                                        NNFW_STATUS set_available_backends(const char *backends)
                                        +
                                        NNFW_STATUS await()
                                        +
                                        NNFW_STATUS get_config(const char *key, char *value, size_t value_size)
                                        +
                                        NNFW_STATUS load_model_from_modelfile(const char *file_path)
                                        +
                                        NNFW_STATUS codegen(const char *target, NNFW_CODEGEN_PREF pref)
                                        +
                                        NNFW_STATUS apply_tensorinfo(uint32_t index, nnfw_tensorinfo ti)
                                        +
                                        NNFW_STATUS set_output_layout(uint32_t index, NNFW_LAYOUT layout)
                                        -
                                        NNFW_STATUS train_input_tensorinfo(uint32_t index, nnfw_tensorinfo *ti)
                                        -
                                        NNFW_STATUS register_custom_operation(const std::string &id, nnfw_custom_eval eval_func)
                                        -
                                        NNFW_STATUS train_export_circle(const char *path)
                                        -
                                        NNFW_STATUS load_model_from_nnpackage(const char *package_file_path)
                                        -
                                        NNFW_STATUS output_tensorindex(const char *tensorname, uint32_t *index)
                                        -
                                        NNFW_STATUS set_quantized_model_path(const char *path)
                                        -
                                        static NNFW_STATUS create(nnfw_session **session)
                                        Factory method. It creates and initialize nnfw_session.
                                        -
                                        NNFW_STATUS load_circle_from_buffer(uint8_t *buffer, size_t size)
                                        -
                                        NNFW_STATUS set_op_backend(const char *op, const char *backend)
                                        -
                                        NNFW_STATUS train_set_input(uint32_t index, const void *input, const nnfw_tensorinfo *input_tensorinfo)
                                        -
                                        NNFW_STATUS train_set_expected(uint32_t index, const void *expected, const nnfw_tensorinfo *expected_tensorinfo)
                                        -
                                        NNFW_STATUS set_input_layout(uint32_t index, NNFW_LAYOUT layout)
                                        -
                                        NNFW_STATUS prepare_pipeline(const char *map_file_path)
                                        -
                                        NNFW_STATUS train_set_traininfo(const nnfw_train_info *info)
                                        -
                                        NNFW_STATUS pop_pipeline_output(std::vector< void * > *outputs)
                                        -
                                        NNFW_STATUS push_pipeline_input(std::vector< void * > *inputs, std::vector< uint32_t > *lengths)
                                        -
                                        NNFW_STATUS quantize()
                                        +
                                        NNFW_STATUS train_input_tensorinfo(uint32_t index, nnfw_tensorinfo *ti)
                                        +
                                        NNFW_STATUS register_custom_operation(const std::string &id, nnfw_custom_eval eval_func)
                                        +
                                        NNFW_STATUS train_export_circle(const char *path)
                                        +
                                        NNFW_STATUS load_model_from_nnpackage(const char *package_file_path)
                                        +
                                        NNFW_STATUS output_tensorindex(const char *tensorname, uint32_t *index)
                                        +
                                        NNFW_STATUS set_quantized_model_path(const char *path)
                                        +
                                        static NNFW_STATUS create(nnfw_session **session)
                                        Factory method. It creates and initialize nnfw_session.
                                        +
                                        NNFW_STATUS load_circle_from_buffer(uint8_t *buffer, size_t size)
                                        +
                                        NNFW_STATUS set_op_backend(const char *op, const char *backend)
                                        +
                                        NNFW_STATUS train_set_input(uint32_t index, const void *input, const nnfw_tensorinfo *input_tensorinfo)
                                        +
                                        NNFW_STATUS train_set_expected(uint32_t index, const void *expected, const nnfw_tensorinfo *expected_tensorinfo)
                                        +
                                        NNFW_STATUS set_input_layout(uint32_t index, NNFW_LAYOUT layout)
                                        +
                                        NNFW_STATUS prepare_pipeline(const char *map_file_path)
                                        +
                                        NNFW_STATUS train_set_traininfo(const nnfw_train_info *info)
                                        +
                                        NNFW_STATUS pop_pipeline_output(std::vector< void * > *outputs)
                                        +
                                        NNFW_STATUS push_pipeline_input(std::vector< void * > *inputs, std::vector< uint32_t > *lengths)
                                        +
                                        NNFW_STATUS quantize()
                                        tensor info describes the type and shape of tensors
                                        Definition nnfw.h:176
                                        Training information to prepare training.
                                        diff --git a/nnfw__api__wrapper_8h_source.html b/nnfw__api__wrapper_8h_source.html index c0d7a27d8d5..d63cdbf8ea8 100644 --- a/nnfw__api__wrapper_8h_source.html +++ b/nnfw__api__wrapper_8h_source.html @@ -225,7 +225,7 @@
                                        uint64_t num_elems(const nnfw_tensorinfo *tensor_info)
                                        Get the total number of elements in nnfw_tensorinfo->dims.
                                        void set_dims(tensorinfo &tensor_info, const py::list &array)
                                        Set nnfw_tensorinfo->dims.
                                        const char * getStringType(NNFW_TYPE type)
                                        - +
                                        tensor info describes the type and shape of tensors
                                        Definition nnfw.h:176
                                        NNFW_TYPE dtype
                                        Definition nnfw.h:178
                                        tensor info describes the type and shape of tensors
                                        diff --git a/nnfw__debug_8cc_source.html b/nnfw__debug_8cc_source.html index b550cb13bc6..180acdc1e3c 100644 --- a/nnfw__debug_8cc_source.html +++ b/nnfw__debug_8cc_source.html @@ -146,7 +146,7 @@
                                        #define NNFW_RETURN_ERROR_IF_NULL(p)
                                        Definition nnfw_debug.cc:21
                                        NNFW_STATUS nnfw_set_config(nnfw_session *session, const char *key, const char *value)
                                        Definition nnfw_debug.cc:28
                                        NNFW_STATUS nnfw_get_config(nnfw_session *session, const char *key, char *value, size_t value_size)
                                        Definition nnfw_debug.cc:34
                                        - +
                                        diff --git a/nnfw__experimental_8h.html b/nnfw__experimental_8h.html index 77609df26ed..dcf5381ffa6 100644 --- a/nnfw__experimental_8h.html +++ b/nnfw__experimental_8h.html @@ -148,6 +148,13 @@ }  Convert between training mode and inference mode. More...
                                          +enum  NNFW_CODEGEN_PREF { NNFW_CODEGEN_PREF_DEFAULT +, NNFW_CODEGEN_PREF_PERFORMANCE_FIRST +, NNFW_CODEGEN_PREF_MEMORY_FIRST +, NNFW_CODEGEN_PREF_COMPILE_TIME_FIRST + } + Preference for target-dependent code generation. More...
                                        +  @@ -212,6 +219,12 @@ + + + + + +

                                        Functions

                                        NNFW_STATUS nnfw_quantize (nnfw_session *session)
                                         Quantize circle model.
                                         
                                        NNFW_STATUS nnfw_set_codegen_model_path (nnfw_session *session, const char *path)
                                         Set exported codegen model path.
                                         
                                        NNFW_STATUS nnfw_codegen (nnfw_session *session, const char *target, NNFW_CODEGEN_PREF pref)
                                         Generate target-dependent code.
                                         

                                        Typedef Documentation

                                        @@ -261,6 +274,46 @@

                                        Enumeration Type Documentation

                                        + +

                                        ◆ NNFW_CODEGEN_PREF

                                        + +
                                        +
                                        + + + + +
                                        enum NNFW_CODEGEN_PREF
                                        +
                                        + +

                                        Preference for target-dependent code generation.

                                        + + + + + +
                                        Enumerator
                                        NNFW_CODEGEN_PREF_DEFAULT 

                                        Use the default configuration

                                        +
                                        NNFW_CODEGEN_PREF_PERFORMANCE_FIRST 

                                        Do best efforts to generate target-dependent code for performance

                                        +
                                        NNFW_CODEGEN_PREF_MEMORY_FIRST 

                                        Do best efforts to generate target-dependent code for reducing host memory usage

                                        +
                                        NNFW_CODEGEN_PREF_COMPILE_TIME_FIRST 

                                        Do best efforts to generate target-dependent code for reducing compilation time

                                        +
                                        + +

                                        Definition at line 454 of file nnfw_experimental.h.

                                        +
                                        455{
                                        + +
                                        458 // TODO Support Traffic and Cycle code generation preference
                                        + + + + +
                                        NNFW_CODEGEN_PREF
                                        Preference for target-dependent code generation.
                                        +
                                        @ NNFW_CODEGEN_PREF_DEFAULT
                                        +
                                        @ NNFW_CODEGEN_PREF_MEMORY_FIRST
                                        +
                                        @ NNFW_CODEGEN_PREF_COMPILE_TIME_FIRST
                                        +
                                        @ NNFW_CODEGEN_PREF_PERFORMANCE_FIRST
                                        +
                                        +
                                        +

                                        ◆ NNFW_QUANTIZE_TYPE

                                        @@ -418,6 +471,62 @@

                                        Function Documentation

                                        + +

                                        ◆ nnfw_codegen()

                                        + +
                                        +
                                        + + + + + + + + + + + + + + + + + + + + + + + + +
                                        NNFW_STATUS nnfw_codegen (nnfw_sessionsession,
                                        const char * target,
                                        NNFW_CODEGEN_PREF pref 
                                        )
                                        +
                                        + +

                                        Generate target-dependent code.

                                        +

                                        This function opens a dynamic shared object. It searches for the object as flollows ld.so(8) search rules. If the nnfw_set_codegen_model_path is not called before this function, the codegen model path is automatically defined and used using the same directory of the original model/package with the target backend extension.

                                        +
                                        Parameters
                                        + + + + +
                                        [in]sessionnnfw_session the session which contains information about compilation
                                        [in]targetTarget backend to generate code This target string will be used to find a backend library. The name of target backend library should follow the following rules: 'lib' + {backend extension} + '-gen' + {lib extension} And the target string should be a name except 'lib' and {lib extension}. For example, if the backend extension is 'aaa', the backend library should be 'libaaa-gen.so', and the target string should be 'aaa-gen'.
                                        [in]prefNNFW_CODEGEN_PREF
                                        +
                                        +
                                        +
                                        Returns
                                        NNFW_STATUS_NO_ERROR if successful, otherwise return NNFW_STATUS_ERROR
                                        + +

                                        Definition at line 488 of file nnfw_api.cc.

                                        +
                                        489{
                                        + +
                                        491 return session->codegen(target, pref);
                                        +
                                        492}
                                        +
                                        SessionID session(const coco::Module *m)
                                        Definition Session.cpp:48
                                        +
                                        #define NNFW_RETURN_ERROR_IF_NULL(p)
                                        Definition nnfw_api.cc:48
                                        +
                                        +

                                        References NNFW_RETURN_ERROR_IF_NULL.

                                        + +
                                        +

                                        ◆ nnfw_input_tensorindex()

                                        @@ -468,8 +577,6 @@

                                        354 NNFW_RETURN_ERROR_IF_NULL(session);

                                        355 return session->input_tensorindex(tensorname, index);
                                        356}
                                        -
                                        SessionID session(const coco::Module *m)
                                        Definition Session.cpp:48
                                        -
                                        #define NNFW_RETURN_ERROR_IF_NULL(p)
                                        Definition nnfw_api.cc:48

                                        References NNFW_RETURN_ERROR_IF_NULL.

                                        @@ -792,6 +899,53 @@

                                        References NNFW_RETURN_ERROR_IF_NULL.

                                        +

                                        +
                                        + +

                                        ◆ nnfw_set_codegen_model_path()

                                        + +
                                        +
                                        + + + + + + + + + + + + + + + + + + +
                                        NNFW_STATUS nnfw_set_codegen_model_path (nnfw_sessionsession,
                                        const char * path 
                                        )
                                        +
                                        + +

                                        Set exported codegen model path.

                                        +

                                        This function should be called before nnfw_codegen is invoked.

                                        +
                                        Parameters
                                        + + + +
                                        [in]sessionnnfw_session to set codegen model path
                                        [in]pathTarget-dependent model path
                                        +
                                        +
                                        +
                                        Returns
                                        NNFW_STATUS_NO_ERROR if successful, otherwise return NNFW_STATUS_ERROR
                                        + +

                                        Definition at line 482 of file nnfw_api.cc.

                                        +
                                        483{
                                        + +
                                        485 return session->set_codegen_model_path(path);
                                        +
                                        486}
                                        +
                                        +

                                        References NNFW_RETURN_ERROR_IF_NULL.

                                        +
                                        diff --git a/nnfw__experimental_8h.js b/nnfw__experimental_8h.js index 87c773cd546..72ab4b717b6 100644 --- a/nnfw__experimental_8h.js +++ b/nnfw__experimental_8h.js @@ -8,6 +8,12 @@ var nnfw__experimental_8h = [ "nnfw_custom_eval", "nnfw__experimental_8h.html#a300b163aa909a1decc6f41d9d46a20e1", null ], [ "nnfw_loss_info", "nnfw__experimental_8h.html#a880f87813a0082373ae5b64f1b66606a", null ], [ "nnfw_train_info", "nnfw__experimental_8h.html#a559e509a0e2416d37475a67466c48975", null ], + [ "NNFW_CODEGEN_PREF", "nnfw__experimental_8h.html#a6b579b96cb876a738cb8ccfd174c0b19", [ + [ "NNFW_CODEGEN_PREF_DEFAULT", "nnfw__experimental_8h.html#a6b579b96cb876a738cb8ccfd174c0b19a53cc66fab85eab846a8d44da4d743fac", null ], + [ "NNFW_CODEGEN_PREF_PERFORMANCE_FIRST", "nnfw__experimental_8h.html#a6b579b96cb876a738cb8ccfd174c0b19ac09d5b13bcb3e3d55306eb997e0f6755", null ], + [ "NNFW_CODEGEN_PREF_MEMORY_FIRST", "nnfw__experimental_8h.html#a6b579b96cb876a738cb8ccfd174c0b19a567af972839b375025c092bf8e1daa5e", null ], + [ "NNFW_CODEGEN_PREF_COMPILE_TIME_FIRST", "nnfw__experimental_8h.html#a6b579b96cb876a738cb8ccfd174c0b19ab26f858cf7b87eeaabc7e9621cec39b1", null ] + ] ], [ "NNFW_QUANTIZE_TYPE", "nnfw__experimental_8h.html#aa01eff0d1a154931c2f7e071f1b0e2e7", [ [ "NNFW_QUANTIZE_TYPE_NOT_SET", "nnfw__experimental_8h.html#aa01eff0d1a154931c2f7e071f1b0e2e7ab42180c09056cbfc71d9df506dc490fe", null ], [ "NNFW_QUANTIZE_TYPE_U8_ASYM", "nnfw__experimental_8h.html#aa01eff0d1a154931c2f7e071f1b0e2e7a481bdd8149fc4808e2df6e6e1b738e72", null ], @@ -28,6 +34,7 @@ var nnfw__experimental_8h = [ "NNFW_TRAIN_OPTIMIZER_SGD", "nnfw__experimental_8h.html#a66ead5bca803075bd7324609b3388bf4acb6c07a8a04094bb70c57210d2786e4e", null ], [ "NNFW_TRAIN_OPTIMIZER_ADAM", "nnfw__experimental_8h.html#a66ead5bca803075bd7324609b3388bf4a5d591466c5b60f726052f8c0d83bd8e8", null ] ] ], + [ "nnfw_codegen", "nnfw__experimental_8h.html#a9c434de04d0c57bf7e28a1c7721bdd49", null ], [ "nnfw_input_tensorindex", "nnfw__experimental_8h.html#a84b063e69ff8e50612f08a902215c894", null ], [ "nnfw_output_tensorindex", "nnfw__experimental_8h.html#a5f67df99da7ea81a11625ca7cbc981de", null ], [ "nnfw_pop_pipeline_output", "nnfw__experimental_8h.html#ad1538903c2e179efa3f63be6431eb050", null ], @@ -36,6 +43,7 @@ var nnfw__experimental_8h = [ "nnfw_quantize", "nnfw__experimental_8h.html#aa4046ec782673ee90f6ab2dca1a317d9", null ], [ "nnfw_register_custom_op_info", "nnfw__experimental_8h.html#a1cc20d75d44428477e0020e4c8c581a6", null ], [ "nnfw_set_backends_per_operation", "nnfw__experimental_8h.html#ac7b4df41162c0e5b6977110c2976072f", null ], + [ "nnfw_set_codegen_model_path", "nnfw__experimental_8h.html#adf518c89391eaedd334ea28cf09a4710", null ], [ "nnfw_set_quantization_type", "nnfw__experimental_8h.html#a7c18c5f0f8b1746fb5016bb696d215b6", null ], [ "nnfw_set_quantized_model_path", "nnfw__experimental_8h.html#ae1bb47075976b3334e5df27e4110a9c0", null ], [ "nnfw_train", "nnfw__experimental_8h.html#a73e25145d65236e1dc891d19da0c4ae4", null ], diff --git a/nnfw__experimental_8h_source.html b/nnfw__experimental_8h_source.html index 73e2ae57965..7ce2ea05241 100644 --- a/nnfw__experimental_8h_source.html +++ b/nnfw__experimental_8h_source.html @@ -287,11 +287,26 @@
                                        442
                                        450
                                        -
                                        451#ifdef __cplusplus
                                        -
                                        452}
                                        -
                                        453#endif
                                        -
                                        454
                                        -
                                        455#endif // __NNFW_EXPERIMENTAL_H__
                                        +
                                        +
                                        454typedef enum
                                        +
                                        455{
                                        + +
                                        458 // TODO Support Traffic and Cycle code generation preference
                                        + + + + +
                                        +
                                        466
                                        +
                                        476NNFW_STATUS nnfw_set_codegen_model_path(nnfw_session *session, const char *path);
                                        +
                                        477
                                        +
                                        497NNFW_STATUS nnfw_codegen(nnfw_session *session, const char *target, NNFW_CODEGEN_PREF pref);
                                        +
                                        498
                                        +
                                        499#ifdef __cplusplus
                                        +
                                        500}
                                        +
                                        501#endif
                                        +
                                        502
                                        +
                                        503#endif // __NNFW_EXPERIMENTAL_H__
                                        volatile const char info[]
                                        This file describes runtime API.
                                        NNFW_STATUS
                                        Result values returned from a call to an API function.
                                        Definition nnfw.h:110
                                        @@ -310,12 +325,18 @@
                                        @ NNFW_TRAIN_OPTIMIZER_ADAM
                                        @ NNFW_TRAIN_OPTIMIZER_SGD
                                        @ NNFW_TRAIN_OPTIMIZER_UNDEFINED
                                        +
                                        NNFW_CODEGEN_PREF
                                        Preference for target-dependent code generation.
                                        +
                                        @ NNFW_CODEGEN_PREF_DEFAULT
                                        +
                                        @ NNFW_CODEGEN_PREF_MEMORY_FIRST
                                        +
                                        @ NNFW_CODEGEN_PREF_COMPILE_TIME_FIRST
                                        +
                                        @ NNFW_CODEGEN_PREF_PERFORMANCE_FIRST
                                        NNFW_STATUS nnfw_train_prepare(nnfw_session *session)
                                        Prepare session to be ready for training.
                                        Definition nnfw_api.cc:403
                                        NNFW_STATUS nnfw_train(nnfw_session *session, bool update_weights)
                                        Train the model.
                                        Definition nnfw_api.cc:444
                                        NNFW_STATUS nnfw_set_quantization_type(nnfw_session *session, NNFW_QUANTIZE_TYPE qtype)
                                        Set quantization type.
                                        Definition nnfw_api.cc:464
                                        NNFW_STATUS nnfw_train_set_traininfo(nnfw_session *session, const nnfw_train_info *info)
                                        Set training information.
                                        Definition nnfw_api.cc:397
                                        NNFW_STATUS nnfw_train_get_traininfo(nnfw_session *session, nnfw_train_info *info)
                                        Get training information.
                                        Definition nnfw_api.cc:391
                                        NNFW_STATUS nnfw_input_tensorindex(nnfw_session *session, const char *tensorname, uint32_t *index)
                                        Get the input tensor index by name.
                                        Definition nnfw_api.cc:352
                                        +
                                        NNFW_STATUS nnfw_codegen(nnfw_session *session, const char *target, NNFW_CODEGEN_PREF pref)
                                        Generate target-dependent code.
                                        Definition nnfw_api.cc:488
                                        NNFW_QUANTIZE_TYPE
                                        Convert between training mode and inference mode.
                                        @ NNFW_QUANTIZE_TYPE_U8_ASYM
                                        @ NNFW_QUANTIZE_TYPE_I16_SYM
                                        @@ -330,6 +351,7 @@
                                        @ NNFW_TRAIN_LOSS_MEAN_SQUARED_ERROR
                                        @ NNFW_TRAIN_LOSS_UNDEFINED
                                        @ NNFW_TRAIN_LOSS_CATEGORICAL_CROSSENTROPY
                                        +
                                        NNFW_STATUS nnfw_set_codegen_model_path(nnfw_session *session, const char *path)
                                        Set exported codegen model path.
                                        Definition nnfw_api.cc:482
                                        NNFW_STATUS nnfw_set_quantized_model_path(nnfw_session *session, const char *path)
                                        Set exported quantized model path.
                                        Definition nnfw_api.cc:470
                                        NNFW_STATUS nnfw_train_input_tensorinfo(nnfw_session *session, uint32_t index, nnfw_tensorinfo *info)
                                        Get the training model input information.
                                        Definition nnfw_api.cc:409
                                        NNFW_STATUS nnfw_train_expected_tensorinfo(nnfw_session *session, uint32_t index, nnfw_tensorinfo *info)
                                        Get the training model expected output information.
                                        Definition nnfw_api.cc:416
                                        @@ -347,7 +369,7 @@
                                        nnfw_tensorinfo type
                                        - +
                                        tensor info describes the type and shape of tensors
                                        Definition nnfw.h:176
                                        Training information to prepare training.
                                        diff --git a/nnfw__internal_8h_source.html b/nnfw__internal_8h_source.html index 5ecb4166e85..df65b5ca21b 100644 --- a/nnfw__internal_8h_source.html +++ b/nnfw__internal_8h_source.html @@ -134,7 +134,7 @@
                                        NNFW_STATUS nnfw_load_circle_from_buffer(nnfw_session *session, uint8_t *buffer, size_t size)
                                        Load a circle model from buffer.
                                        Definition nnfw_api.cc:340
                                        NNFW_STATUS nnfw_get_config(nnfw_session *session, const char *key, char *value, size_t value_size)
                                        Definition nnfw_debug.cc:34
                                        int32_t size[5]
                                        Definition Slice.cpp:35
                                        - +
                                        diff --git a/nnkit-run_8cpp_source.html b/nnkit-run_8cpp_source.html index ebbf434d228..7dd46b7cfd3 100644 --- a/nnkit-run_8cpp_source.html +++ b/nnkit-run_8cpp_source.html @@ -245,7 +245,7 @@
                                        146#include <iostream>
                                        147
                                        -
                                        148int main(int argc, char **argv)
                                        +
                                        148int main(int argc, char **argv)
                                        149{
                                        150 // Usage:
                                        151 // [Command] --backend [Backend module path] --backend-arg ... --backend-arg ...
                                        @@ -371,7 +371,7 @@
                                        std::unique_ptr< BackendPlugin > make_backend_plugin(const std::string &path)
                                        -
                                        int main()
                                        Definition main.cpp:58
                                        +
                                        int main()
                                        Definition main.cpp:58
                                        diff --git a/nnkit-tflite_2_conv_backend_8cpp_source.html b/nnkit-tflite_2_conv_backend_8cpp_source.html index ea7094610d2..a28ac88800c 100644 --- a/nnkit-tflite_2_conv_backend_8cpp_source.html +++ b/nnkit-tflite_2_conv_backend_8cpp_source.html @@ -253,7 +253,7 @@
                                        uint32_t count(void) const
                                        Definition Shape.h:44
                                        uint32_t depth(void) const
                                        Definition Shape.h:45
                                        -
                                        Dims< uint32_t > as_dims(const nncc::core::ADT::tensor::Shape &)
                                        Definition dims.cpp:24
                                        +
                                        Dims< uint32_t > as_dims(const nncc::core::ADT::tensor::Shape &)
                                        Definition dims.cpp:24
                                        uint32_t num_elements(const Shape &shape)
                                        Return the number of elements in a kernel of a given shape.
                                        Definition Shape.h:61
                                        Overlay< T, T * > make_overlay(const Shape &shape, T *base)
                                        Definition Overlay.h:71
                                        diff --git a/onert-micro_2eval-driver_2driver_8cpp.html b/onert-micro_2eval-driver_2_driver_8cpp.html similarity index 93% rename from onert-micro_2eval-driver_2driver_8cpp.html rename to onert-micro_2eval-driver_2_driver_8cpp.html index 3a9a6961cfd..07777aebdcd 100644 --- a/onert-micro_2eval-driver_2driver_8cpp.html +++ b/onert-micro_2eval-driver_2_driver_8cpp.html @@ -63,7 +63,7 @@
                                        @@ -102,14 +102,14 @@ #include <string>
                                        #include <iostream>
                                        -

                                        Go to the source code of this file.

                                        +

                                        Go to the source code of this file.

                                        - + - +

                                        Functions

                                        int entry (int argc, char **argv)
                                        int entry (int argc, char **argv)
                                         Dump IR for given arguments.
                                         
                                        int main (int argc, char **argv)
                                        int main (int argc, char **argv)
                                         

                                        Function Documentation

                                        @@ -144,7 +144,7 @@

                                        -

                                        Definition at line 59 of file Driver.cpp.

                                        +

                                        Definition at line 59 of file Driver.cpp.

                                        60{
                                        61 if (argc != 5)
                                        62 {
                                        @@ -252,15 +252,15 @@

                                        -

                                        Definition at line 147 of file Driver.cpp.

                                        +

                                        Definition at line 147 of file Driver.cpp.

                                        148{
                                        149 // NOTE main does not catch internal exceptions for debug build to make it easy to
                                        150 // check the stacktrace with a debugger
                                        -
                                        151 return entry(argc, argv);
                                        +
                                        151 return entry(argc, argv);
                                        152}
                                        -
                                        int entry(int argc, char **argv)
                                        Definition Driver.cpp:29
                                        +
                                        int entry(int argc, char **argv)
                                        Definition Driver.cpp:29
                                        -

                                        References entry().

                                        +

                                        References entry().

                                        @@ -269,7 +269,7 @@

                                        diff --git a/onert-micro_2eval-driver_2_driver_8cpp.js b/onert-micro_2eval-driver_2_driver_8cpp.js new file mode 100644 index 00000000000..2ddf3da308d --- /dev/null +++ b/onert-micro_2eval-driver_2_driver_8cpp.js @@ -0,0 +1,5 @@ +var onert_micro_2eval_driver_2_driver_8cpp = +[ + [ "entry", "onert-micro_2eval-driver_2_driver_8cpp.html#a0bd2da0b208d77121c01ef3a7e7ae198", null ], + [ "main", "onert-micro_2eval-driver_2_driver_8cpp.html#a3c04138a5bfe5d72780bb7e82a18e627", null ] +]; \ No newline at end of file diff --git a/onert-micro_2eval-driver_2driver_8cpp_source.html b/onert-micro_2eval-driver_2_driver_8cpp_source.html similarity index 91% rename from onert-micro_2eval-driver_2driver_8cpp_source.html rename to onert-micro_2eval-driver_2_driver_8cpp_source.html index 3248397712a..6ed8f63f65b 100644 --- a/onert-micro_2eval-driver_2driver_8cpp_source.html +++ b/onert-micro_2eval-driver_2_driver_8cpp_source.html @@ -68,7 +68,7 @@
                                        @@ -97,7 +97,7 @@
                                        Driver.cpp
                                        -Go to the documentation of this file.
                                        1/*
                                        +Go to the documentation of this file.
                                        1/*
                                        2 * Copyright (c) 2022 Samsung Electronics Co., Ltd. All Rights Reserved
                                        3 *
                                        4 * Licensed under the Apache License, Version 2.0 (the "License");
                                        @@ -156,7 +156,7 @@
                                        57 *
                                        58 */
                                        -
                                        59int entry(int argc, char **argv)
                                        +
                                        59int entry(int argc, char **argv)
                                        60{
                                        61 if (argc != 5)
                                        62 {
                                        @@ -228,14 +228,14 @@
                                        128}
                                        129
                                        -
                                        130int entry(int argc, char **argv);
                                        +
                                        130int entry(int argc, char **argv);
                                        131
                                        132#ifdef NDEBUG
                                        -
                                        133int main(int argc, char **argv)
                                        +
                                        133int main(int argc, char **argv)
                                        134{
                                        135 try
                                        136 {
                                        -
                                        137 return entry(argc, argv);
                                        +
                                        137 return entry(argc, argv);
                                        138 }
                                        139 catch (const std::exception &e)
                                        140 {
                                        @@ -246,24 +246,24 @@
                                        145}
                                        146#else // NDEBUG
                                        -
                                        147int main(int argc, char **argv)
                                        +
                                        147int main(int argc, char **argv)
                                        148{
                                        149 // NOTE main does not catch internal exceptions for debug build to make it easy to
                                        150 // check the stacktrace with a debugger
                                        -
                                        151 return entry(argc, argv);
                                        +
                                        151 return entry(argc, argv);
                                        152}
                                        153#endif // !NDEBUG
                                        -
                                        int entry(int argc, char **argv)
                                        Definition Driver.cpp:29
                                        +
                                        int entry(int argc, char **argv)
                                        Definition Driver.cpp:29
                                        void writeDataToFile(const std::string &file_path, const std::string &data)
                                        write data to file_path
                                        -
                                        int main()
                                        Definition main.cpp:58
                                        +
                                        int main()
                                        Definition main.cpp:58
                                        diff --git a/onert-micro_2eval-driver_2driver_8cpp.js b/onert-micro_2eval-driver_2driver_8cpp.js deleted file mode 100644 index 7b6677f9caf..00000000000 --- a/onert-micro_2eval-driver_2driver_8cpp.js +++ /dev/null @@ -1,5 +0,0 @@ -var onert_micro_2eval_driver_2driver_8cpp = -[ - [ "entry", "onert-micro_2eval-driver_2driver_8cpp.html#a0bd2da0b208d77121c01ef3a7e7ae198", null ], - [ "main", "onert-micro_2eval-driver_2driver_8cpp.html#a3c04138a5bfe5d72780bb7e82a18e627", null ] -]; \ No newline at end of file diff --git a/onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2_main_8cpp.js b/onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2_main_8cpp.js deleted file mode 100644 index 6d5e2edf507..00000000000 --- a/onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2_main_8cpp.js +++ /dev/null @@ -1,6 +0,0 @@ -var onert_micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed_os_2_main_8cpp = -[ - [ "infer", "onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2_main_8cpp.html#a06128a124529d50e492c34d1d1af4883", null ], - [ "main", "onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2_main_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4", null ], - [ "print_float", "onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2_main_8cpp.html#ae263043922f2154fed0757f8c9af61bb", null ] -]; \ No newline at end of file diff --git a/onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2_main_8cpp.html b/onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2main_8cpp.html similarity index 85% rename from onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2_main_8cpp.html rename to onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2main_8cpp.html index 8962c3e8f60..c57443455ca 100644 --- a/onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2_main_8cpp.html +++ b/onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2main_8cpp.html @@ -63,7 +63,7 @@
                                        @@ -101,15 +101,15 @@ #include "speech_recognition_float.circle.h"
                                        #include "test_data.h"
                                        -

                                        Go to the source code of this file.

                                        +

                                        Go to the source code of this file.

                                        - + - + - +

                                        Functions

                                        std::vector< float > infer ()
                                        std::vector< float > infer ()
                                         
                                        void print_float (float x)
                                        void print_float (float x)
                                         
                                        int main ()
                                        int main ()
                                         

                                        Function Documentation

                                        @@ -128,7 +128,7 @@

                                        -

                                        Definition at line 25 of file main.cpp.

                                        +

                                        Definition at line 25 of file main.cpp.

                                        @@ -171,11 +171,11 @@

                                        -

                                        Definition at line 58 of file main.cpp.

                                        +

                                        Definition at line 58 of file main.cpp.

                                        59{
                                        60 Timer t;
                                        61 t.start();
                                        -
                                        62 auto res = infer();
                                        +
                                        62 auto res = infer();
                                        63 t.stop();
                                        64 std::cout << "Executed in " << t.read_us() << "us\n";
                                        65
                                        @@ -184,16 +184,16 @@

                                        68

                                        69 std::cout << "MODEL PREDICTION\n";
                                        70 for (int i = 0; i < 4; ++i)
                                        -
                                        +
                                        71 print_float(res[i]);
                                        72 while (true)
                                        73 {
                                        74 ThisThread::sleep_for(100ms);
                                        75 }
                                        76}
                                        -
                                        std::vector< float > infer()
                                        Definition main.cpp:25
                                        -
                                        void print_float(float x)
                                        Definition main.cpp:41
                                        +
                                        std::vector< float > infer()
                                        Definition main.cpp:25
                                        +
                                        void print_float(float x)
                                        Definition main.cpp:41

                                        -

                                        References infer(), and print_float().

                                        +

                                        References infer(), and print_float().

                                        Referenced by main(), and utils::safemain().

                                        @@ -215,7 +215,7 @@

                                        -

                                        Definition at line 41 of file main.cpp.

                                        +

                                        Definition at line 41 of file main.cpp.

                                        42{
                                        43 int tmp = x * 1000000 - static_cast<int>(x) * 1000000;
                                        44 std::cout << (tmp >= 0 ? "" : "-") << static_cast<int>(x) << ".";
                                        @@ -233,7 +233,7 @@

                                        56 std::cout << (tmp >= 0 ? tmp : -tmp) << "\n";

                                        57}

                                        -

                                        Referenced by main().

                                        +

                                        Referenced by main().

                                        @@ -242,7 +242,7 @@

                                        diff --git a/onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2main_8cpp.js b/onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2main_8cpp.js new file mode 100644 index 00000000000..8e6b797741b --- /dev/null +++ b/onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2main_8cpp.js @@ -0,0 +1,6 @@ +var onert_micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed_os_2main_8cpp = +[ + [ "infer", "onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2main_8cpp.html#a06128a124529d50e492c34d1d1af4883", null ], + [ "main", "onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2main_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4", null ], + [ "print_float", "onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2main_8cpp.html#ae263043922f2154fed0757f8c9af61bb", null ] +]; \ No newline at end of file diff --git a/onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2_main_8cpp_source.html b/onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2main_8cpp_source.html similarity index 86% rename from onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2_main_8cpp_source.html rename to onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2main_8cpp_source.html index da1c30730b6..126815c03ae 100644 --- a/onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2_main_8cpp_source.html +++ b/onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2main_8cpp_source.html @@ -68,7 +68,7 @@
                                        @@ -97,7 +97,7 @@
                                        main.cpp
                                        -Go to the documentation of this file.
                                        1/*
                                        +Go to the documentation of this file.
                                        1/*
                                        2 * Copyright (c) 2023 Samsung Electronics Co., Ltd. All Rights Reserved
                                        3 *
                                        4 * Licensed under the Apache License, Version 2.0 (the "License");
                                        @@ -122,7 +122,7 @@
                                        23
                                        -
                                        25std::vector<float> infer()
                                        +
                                        25std::vector<float> infer()
                                        26{
                                        27 auto input_data = reinterpret_cast<float *>(interpreter.allocateInputTensor(0));
                                        28 for (int i = 0; i < 1960; ++i)
                                        @@ -140,7 +140,7 @@
                                        40}
                                        -
                                        41void print_float(float x)
                                        +
                                        41void print_float(float x)
                                        42{
                                        43 int tmp = x * 1000000 - static_cast<int>(x) * 1000000;
                                        44 std::cout << (tmp >= 0 ? "" : "-") << static_cast<int>(x) << ".";
                                        @@ -159,11 +159,11 @@
                                        57}
                                        -
                                        58int main()
                                        +
                                        58int main()
                                        59{
                                        60 Timer t;
                                        61 t.start();
                                        -
                                        62 auto res = infer();
                                        +
                                        62 auto res = infer();
                                        63 t.stop();
                                        64 std::cout << "Executed in " << t.read_us() << "us\n";
                                        65
                                        @@ -172,7 +172,7 @@
                                        68
                                        69 std::cout << "MODEL PREDICTION\n";
                                        70 for (int i = 0; i < 4; ++i)
                                        -
                                        71 print_float(res[i]);
                                        +
                                        71 print_float(res[i]);
                                        72 while (true)
                                        73 {
                                        74 ThisThread::sleep_for(100ms);
                                        @@ -181,9 +181,9 @@
                                        -
                                        std::vector< float > infer()
                                        Definition main.cpp:25
                                        -
                                        void print_float(float x)
                                        Definition main.cpp:41
                                        -
                                        int main()
                                        Definition main.cpp:58
                                        +
                                        std::vector< float > infer()
                                        Definition main.cpp:25
                                        +
                                        void print_float(float x)
                                        Definition main.cpp:41
                                        +
                                        int main()
                                        Definition main.cpp:58
                                        const char circle_model_raw[68200]
                                        @@ -193,7 +193,7 @@ diff --git a/onert-micro_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp.js b/onert-micro_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp.js deleted file mode 100644 index 729f30a550a..00000000000 --- a/onert-micro_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp.js +++ /dev/null @@ -1,5 +0,0 @@ -var onert_micro_2luci_interpreter_2src_2kernels_2_leaky_re_l_u_8cpp = -[ - [ "configure_kernel_CircleLeakyRelu", "onert-micro_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp.html#a551becc961249ab7dacb4be985e2c99d", null ], - [ "execute_kernel_CircleLeakyRelu", "onert-micro_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp.html#a2ed6c95c72ae8c8e13798278d03034bf", null ] -]; \ No newline at end of file diff --git a/onert-micro_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp.html b/onert-micro_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp.html similarity index 96% rename from onert-micro_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp.html rename to onert-micro_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp.html index cd4bd1abde4..8951df8bd40 100644 --- a/onert-micro_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp.html +++ b/onert-micro_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp.html @@ -63,7 +63,7 @@
                                        @@ -100,7 +100,7 @@ #include "SISOKernel.h"
                                        #include "PALReluCommon.h"
                                        -

                                        Go to the source code of this file.

                                        +

                                        Go to the source code of this file.

                                        @@ -119,7 +119,7 @@ diff --git a/onert-micro_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp.js b/onert-micro_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp.js new file mode 100644 index 00000000000..6fc27d9a466 --- /dev/null +++ b/onert-micro_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp.js @@ -0,0 +1,5 @@ +var onert_micro_2luci_interpreter_2src_2kernels_2_leaky_relu_8cpp = +[ + [ "configure_kernel_CircleLeakyRelu", "onert-micro_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp.html#a551becc961249ab7dacb4be985e2c99d", null ], + [ "execute_kernel_CircleLeakyRelu", "onert-micro_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp.html#a2ed6c95c72ae8c8e13798278d03034bf", null ] +]; \ No newline at end of file diff --git a/onert-micro_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp_source.html b/onert-micro_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp_source.html similarity index 97% rename from onert-micro_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp_source.html rename to onert-micro_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp_source.html index dc35fda661d..cbb2a7a3910 100644 --- a/onert-micro_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp_source.html +++ b/onert-micro_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp_source.html @@ -68,7 +68,7 @@
                                        @@ -97,7 +97,7 @@
                                        LeakyRelu.cpp
                                        -Go to the documentation of this file.
                                        1/*
                                        +Go to the documentation of this file.
                                        1/*
                                        2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
                                        3 *
                                        4 * Licensed under the Apache License, Version 2.0 (the "License");
                                        @@ -194,15 +194,15 @@
                                        luci_interpreter::RuntimeShape getTensorRuntimeShape(const circle::Tensor *circle_tensor, BaseRuntimeGraph *runtime_graph)
                                        Definition Utils.cpp:29
                                        void ReLUCommon(const int flat_size, const float *input_data, float *output_data, const float alpha, const bool is_relu_6)
                                        -
                                        void execute_kernel_CircleLeakyRelu(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
                                        Definition LeakyRelu.cpp:38
                                        -
                                        void configure_kernel_CircleLeakyRelu(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
                                        Definition LeakyRelu.cpp:26
                                        +
                                        void execute_kernel_CircleLeakyRelu(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
                                        Definition LeakyRelu.cpp:38
                                        +
                                        void configure_kernel_CircleLeakyRelu(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
                                        Definition LeakyRelu.cpp:26
                                        diff --git a/onert-micro_2luci-interpreter_2src_2kernels_2_slice_8cpp.html b/onert-micro_2luci-interpreter_2src_2kernels_2_slice_8cpp.html index 894b1938cc1..ec569ec8a63 100644 --- a/onert-micro_2luci-interpreter_2src_2kernels_2_slice_8cpp.html +++ b/onert-micro_2luci-interpreter_2src_2kernels_2_slice_8cpp.html @@ -167,7 +167,7 @@

                                        Definition at line 35 of file Slice.cpp.

                                        -

                                        Referenced by Add(), nnfw::cker::optimized::AddElementwise(), nnfw::cker::optimized::AddElementwise(), nnfw::cker::AddN(), nnfw::cker::optimized::AddScalarBroadcast(), nnfw::cker::optimized::AddScalarBroadcast(), loco::all_nodes(), nnkit::support::onnx::Allocator::Alloc(), flatbuffers::Allocate(), nnkit::support::tf::TensorDataMap::allocate(), flatbuffers::DefaultAllocator::allocate(), flatbuffers::grpc::SliceAllocator::allocate(), luci_interpreter::BuddyMemoryManager::allocate_memory(), onert_micro::core::memory::OMMemoryManager::allocateMemory(), nnkit::support::onnx::Allocator::Allocator(), ANeuralNetworksMemory_createFromFd(), tflimport::as_index_vector(), onert::ir::Operand::asVector(), luci::asymmetric_wquant_with_minmax_per_layer(), luci::VectorWrapper< T >::at(), filesystem::basename(), nnfw::cker::BCastList< N >::BCastList(), nnfw::cker::reference::BinaryArithmeticOp(), nnfw::cker::reference::BinaryArithmeticOp(), nnfw::cker::optimized::BinaryOpElementwise(), nnfw::cker::optimized::BinaryOpScalarBroadcast(), circlechef::CircleImport::buffer_info(), tflchef::TFliteImport::buffer_info(), mio::circle::Reader::buffer_info(), tflinspect::Reader::buffer_info(), tflread::Reader::buffer_info(), luci_interpreter::build_kernel_CircleResizeBilinear(), luci_interpreter::build_kernel_CircleResizeNearestNeighbor(), luci_interpreter::build_kernel_CircleSlice(), onert_micro::core::reader::OMCircleReader::builtin_code(), luci_interpreter::kernels::calculateActivationRangeQuantized(), luci_interpreter::kernels::calculateOutputShape(), onert::compiler::pass::ConstantInsertionPass::callback(), luci::change_outputs(), luci_interpreter::GraphLoader::checkInplaceOps(), onert::backend::basic::BumpPlanner::claim(), onert::backend::basic::FirstFitPlanner::claim(), onert::backend::basic::WICPlanner::claim(), onert::backend::train::TensorManager::claimBackPropPlan(), onert::backend::train::TensorManager::claimGradientPlan(), onert::backend::train::TensorManager::claimNonConstPlan(), onert::backend::basic::MemoryManager::claimPlan(), onert::backend::basic::StaticTensorManager::claimPlan(), onert::backend::train::TensorManager::claimTrainablePlan(), enco::SubnetBlockCompiler::compile(), mpqsolver::core::MAEMetric::compute(), circle_planner::ScratchpadHelperLinux::ComputeScratchpadSizeConv2d(), luci_interpreter::kernels::Add::configure(), luci_interpreter::kernels::Conv2D::configure(), luci_interpreter::kernels::DepthwiseConv2D::configure(), luci_interpreter::kernels::Dequantize::configure(), luci_interpreter::kernels::If::configure(), luci_interpreter::kernels::Mul::configure(), luci_interpreter::kernels::PRelu::configure(), luci_interpreter::kernels::UnidirectionalSequenceLSTM::configure(), luci_interpreter::kernels::While::configure(), luci_interpreter::RuntimeGraph::configure(), onert::backend::cpu::ops::SliceLayer::configure(), onert::backend::cpu::ops::ResizeBilinearLayer::configure(), luci_interpreter::configure_kernel_CircleConcatenation(), luci_interpreter::configure_kernel_CircleConv2D(), luci_interpreter::configure_kernel_CircleResizeBilinear(), exo::ConstGenConverter::convert(), mir_onnx::convertShapeV1(), mir_tflite::TFLiteOpCreator::convertStridedSlice(), onert::base_loader::Copy(), nnfw::cker::Cos(), PrivateMemory::create(), loco::Graph::OutputContext::create(), luci::create_const_node(), luci::create_const_node(), flatbuffers::Deallocate(), flatbuffers::grpc::SliceAllocator::deallocate(), DEBUGGING_API_P(), DEBUGGING_API_P(), DEBUGGING_API_P(), DEBUGGING_API_P(), DEBUGGING_API_P(), sparsity::FormatConverter< T >::DenseToSparse(), Div(), enco::CppCode::dump(), locop::FormattedGraphImpl< Formatter::LinearV1 >::dump(), circledump::dump_buffer(), tfldump::dump_buffer(), circledump::dump_fbvect(), tfldump::dump_fbvect(), circledump::dump_fbvect(), tfldump::dump_fbvect(), circledump::dump_model(), tfldump::dump_model(), exo::CircleExporter::dumpToFile(), exo::TFLExporter::dumpToFile(), luci::VectorWrapper< T >::empty(), flatbuffers::FLATBUFFERS_FINAL_CLASS< T >::empty(), luci::CircleExportMetadata::encoded_execution_plan_table(), entry(), nnfw::cker::Erf(), onert::backend::cpu::ops::ElementwiseActivationLayer::EvalUsingLookupTable(), luci_interpreter::kernels::Conv2D::execute(), luci_interpreter::kernels::DepthwiseConv2D::execute(), luci_interpreter::kernels::Transpose::execute(), luci_interpreter::kernels::TransposeConv::execute(), onert::exec::ExecutorBase::execute(), luci_interpreter::execute_kernel_CircleAdd(), luci_interpreter::execute_kernel_CircleConv2D(), luci_interpreter::execute_kernel_CircleIf(), luci_interpreter::execute_kernel_CircleReshape(), luci_interpreter::execute_kernel_CircleResizeBilinear(), luci_interpreter::execute_kernel_CircleSlice(), luci_interpreter::execute_kernel_CircleTranspose(), luci_interpreter::execute_kernel_CircleWhile(), nnfw::cker::Exp(), enco::SubnetStructBuilder::expr(), flatbuffers::FindHashFunction16(), flatbuffers::FindHashFunction32(), flatbuffers::FindHashFunction64(), enco::generate_bypass_shuffle(), enco::generate_global_data(), onert::backend::gpu_cl::KernelGenerator::get_operation(), luci_interpreter::kernels::getBeginAndSizeVectors(), luci_interpreter::RuntimeGraph::getInputDataSizeByIndex(), onert_micro::core::getOMDataTypeSize(), luci_interpreter::RuntimeGraph::getOutputDataSizeByIndex(), onert::shape_inference::bcq::getOutputSize(), flexbuffers::GetRoot(), nnfw::cker::GetSize(), onert::exec::ProfileObserver::handleJobEnd(), enco::hoist_object(), onert::shape_inference::inferSliceShape(), luci::input_node(), loco::input_nodes(), nnfw::cker::InstanceNorm(), luci::CircleExporter::invoke(), flatbuffers::IterateObject(), Frontend::load(), nnfw_session::load_circle_from_buffer(), load_from(), onert::circle_loader::loadModel(), luci_interpreter::GraphLoader::loadTensors(), onert::train::traininfo_loader::loadTrainingInfo(), nnfw::cker::Log(), nnfw::cker::LogicalNot(), enco::lower_copy(), MapAsVector(), nnfw::cker::MapAsVector(), nnfw::cker::train::MSE(), nnfw::cker::train::MSEGrad(), Mul(), luci_interpreter_pal::lstm_internal::mulElementwise(), nnfw::cker::optimized::MulElementwise(), nnfw::cker::optimized::MulElementwise(), nnfw::cker::optimized::MulSimpleBroadcast(), nnfw::cker::optimized::MulSimpleBroadcast(), nnfw::cker::Neg(), nnfw_load_circle_from_buffer(), onert::backend::basic::TensorBuilder::notifyFirstUse(), onert::backend::builtin::TensorBuilder::notifyFirstUse(), npud::core::DBus::on_handle_buffers_create(), npud::core::DBus::on_handle_buffers_destroy(), npud::core::DBus::on_handle_request_set_data(), nnfw::cker::FusedBatchNorm::operator()(), nnfw::cker::functor::FillPhiloxRandom< CPUDevice, Distribution >::operator()(), circledump::SqueezePrinter::options(), tfldump::SqueezePrinter::options(), luci::output_node(), loco::output_nodes(), moco::placeholder_node(), nnfw::cker::PortableAsymmetricQuantizeFloats(), nnfw::cker::PortableSymmetricQuantizeFloats(), tflimport::TensorContext::prepare(), tflimport::TensorBags::prepare(), nnkit::support::tf::Runner::prepareInputs(), loco::pull_node(), loco::push_node(), moco::push_node(), exo::circle_detail::registerGraphIOName(), exo::tflite_detail::registerGraphIOName(), onert::backend::basic::FirstFitPlanner::release(), flatbuffers::FlatBufferBuilder::ReleaseRaw(), flatbuffers::grpc::MessageBuilder::ReleaseRaw(), nnfw::cker::ReLU6(), nnfw::cker::Requantize(), nnfw::cker::Requantize< int8_t, uint8_t >(), nnfw::cker::Requantize< uint8_t, int8_t >(), luci_interpreter::RuntimeGraph::resetOutputTensorsData(), mir::Index::resize(), mir::Shape::resize(), nncc::core::ADT::tensor::Index::resize(), nncc::core::ADT::tensor::Shape::resize(), nnfw::cker::Rsqrt(), nnfw::cker::functor::FillPhiloxRandomTask< Distribution, true >::Run(), nnfw::cker::functor::FillPhiloxRandomTask< Distribution, false >::Run(), tflite::reference_ops::SelectTrueCoords(), MappedMemory::set(), locoex::set_new_shape(), onert::backend::builtin::UserTensor::setBuffer(), nnkit::support::moco::tf::Backend::setInputOutputFromGraph(), onert::backend::builtin::IOTensor::setUserTensor(), nnfw::cker::Sin(), flatbuffers::FLATBUFFERS_FINAL_CLASS< T >::size_bytes(), onert::backend::cpu::ops::sizeOfData(), sizeOfData(), luci::CircleFileExpContract::store(), Sub(), luci::swap_mul_add(), luci::symmetric_wquant_with_minmax_per_layer(), nnfw::cker::SymmetricQuantizeFloats(), tflimport::TflBufferContext::tensor_buffer(), nnfw_session::train_set_expected(), nnfw_session::train_set_input(), onert::exec::DynamicShapeInferer::visit(), onert::ir::OperationValidator::visit(), and locomotiv::Session::~Session().

                                        +

                                        Referenced by Add(), nnfw::cker::optimized::AddElementwise(), nnfw::cker::optimized::AddElementwise(), nnfw::cker::AddN(), nnfw::cker::optimized::AddScalarBroadcast(), nnfw::cker::optimized::AddScalarBroadcast(), loco::all_nodes(), nnkit::support::onnx::Allocator::Alloc(), flatbuffers::Allocate(), nnkit::support::tf::TensorDataMap::allocate(), flatbuffers::DefaultAllocator::allocate(), flatbuffers::grpc::SliceAllocator::allocate(), luci_interpreter::BuddyMemoryManager::allocate_memory(), onert_micro::core::memory::OMMemoryManager::allocateMemory(), nnkit::support::onnx::Allocator::Allocator(), ANeuralNetworksMemory_createFromFd(), tflimport::as_index_vector(), onert::ir::Operand::asVector(), luci::asymmetric_wquant_with_minmax_per_layer(), luci::VectorWrapper< T >::at(), filesystem::basename(), nnfw::cker::BCastList< N >::BCastList(), nnfw::cker::reference::BinaryArithmeticOp(), nnfw::cker::reference::BinaryArithmeticOp(), nnfw::cker::optimized::BinaryOpElementwise(), nnfw::cker::optimized::BinaryOpScalarBroadcast(), circlechef::CircleImport::buffer_info(), tflchef::TFliteImport::buffer_info(), mio::circle::Reader::buffer_info(), tflinspect::Reader::buffer_info(), tflread::Reader::buffer_info(), luci_interpreter::build_kernel_CircleResizeBilinear(), luci_interpreter::build_kernel_CircleResizeNearestNeighbor(), luci_interpreter::build_kernel_CircleSlice(), onert_micro::core::reader::OMCircleReader::builtin_code(), luci_interpreter::kernels::calculateActivationRangeQuantized(), luci_interpreter::kernels::calculateOutputShape(), onert::compiler::pass::ConstantInsertionPass::callback(), luci::change_outputs(), luci_interpreter::GraphLoader::checkInplaceOps(), onert::backend::basic::BumpPlanner::claim(), onert::backend::basic::FirstFitPlanner::claim(), onert::backend::basic::WICPlanner::claim(), onert::backend::train::TensorManager::claimBackPropPlan(), onert::backend::train::TensorManager::claimGradientPlan(), onert::backend::train::TensorManager::claimNonConstPlan(), onert::backend::basic::MemoryManager::claimPlan(), onert::backend::basic::StaticTensorManager::claimPlan(), onert::backend::train::TensorManager::claimTrainablePlan(), enco::SubnetBlockCompiler::compile(), mpqsolver::core::MAEMetric::compute(), circle_planner::ScratchpadHelperLinux::ComputeScratchpadSizeConv2d(), luci_interpreter::kernels::Add::configure(), luci_interpreter::kernels::Conv2D::configure(), luci_interpreter::kernels::DepthwiseConv2D::configure(), luci_interpreter::kernels::Dequantize::configure(), luci_interpreter::kernels::If::configure(), luci_interpreter::kernels::Mul::configure(), luci_interpreter::kernels::PRelu::configure(), luci_interpreter::kernels::UnidirectionalSequenceLSTM::configure(), luci_interpreter::kernels::While::configure(), luci_interpreter::RuntimeGraph::configure(), onert::backend::cpu::ops::SliceLayer::configure(), onert::backend::cpu::ops::ResizeBilinearLayer::configure(), luci_interpreter::configure_kernel_CircleConcatenation(), luci_interpreter::configure_kernel_CircleConv2D(), luci_interpreter::configure_kernel_CircleResizeBilinear(), exo::ConstGenConverter::convert(), mir_onnx::convertShapeV1(), mir_tflite::TFLiteOpCreator::convertStridedSlice(), onert::base_loader::Copy(), nnfw::cker::Cos(), PrivateMemory::create(), loco::Graph::OutputContext::create(), luci::create_const_node(), luci::create_const_node(), flatbuffers::Deallocate(), flatbuffers::grpc::SliceAllocator::deallocate(), DEBUGGING_API_P(), DEBUGGING_API_P(), DEBUGGING_API_P(), DEBUGGING_API_P(), DEBUGGING_API_P(), sparsity::FormatConverter< T >::DenseToSparse(), Div(), enco::CppCode::dump(), locop::FormattedGraphImpl< Formatter::LinearV1 >::dump(), circledump::dump_buffer(), tfldump::dump_buffer(), circledump::dump_fbvect(), tfldump::dump_fbvect(), circledump::dump_fbvect(), tfldump::dump_fbvect(), circledump::dump_model(), tfldump::dump_model(), exo::CircleExporter::dumpToFile(), exo::TFLExporter::dumpToFile(), luci::VectorWrapper< T >::empty(), flatbuffers::FLATBUFFERS_FINAL_CLASS< T >::empty(), luci::CircleExportMetadata::encoded_execution_plan_table(), entry(), nnfw::cker::Erf(), onert::backend::cpu::ops::ElementwiseActivationLayer::EvalUsingLookupTable(), luci_interpreter::kernels::Conv2D::execute(), luci_interpreter::kernels::DepthwiseConv2D::execute(), luci_interpreter::kernels::Transpose::execute(), luci_interpreter::kernels::TransposeConv::execute(), onert::exec::ExecutorBase::execute(), luci_interpreter::execute_kernel_CircleAdd(), luci_interpreter::execute_kernel_CircleConv2D(), luci_interpreter::execute_kernel_CircleIf(), luci_interpreter::execute_kernel_CircleReshape(), luci_interpreter::execute_kernel_CircleResizeBilinear(), luci_interpreter::execute_kernel_CircleSlice(), luci_interpreter::execute_kernel_CircleTranspose(), luci_interpreter::execute_kernel_CircleWhile(), nnfw::cker::Exp(), enco::SubnetStructBuilder::expr(), flatbuffers::FindHashFunction16(), flatbuffers::FindHashFunction32(), flatbuffers::FindHashFunction64(), enco::generate_bypass_shuffle(), enco::generate_global_data(), onert::backend::gpu_cl::KernelGenerator::get_operation(), luci_interpreter::kernels::getBeginAndSizeVectors(), luci_interpreter::RuntimeGraph::getInputDataSizeByIndex(), onert_micro::core::getOMDataTypeSize(), luci_interpreter::RuntimeGraph::getOutputDataSizeByIndex(), onert::shape_inference::bcq::getOutputSize(), flexbuffers::GetRoot(), nnfw::cker::GetSize(), onert::exec::ProfileObserver::handleJobEnd(), enco::hoist_object(), onert::shape_inference::inferSliceShape(), luci::input_node(), loco::input_nodes(), nnfw::cker::InstanceNorm(), luci::CircleExporter::invoke(), flatbuffers::IterateObject(), Frontend::load(), nnfw_session::load_circle_from_buffer(), load_from(), onert::circle_loader::loadModel(), luci_interpreter::GraphLoader::loadTensors(), onert::train::traininfo_loader::loadTrainingInfo(), nnfw::cker::Log(), nnfw::cker::LogicalNot(), enco::lower_copy(), MapAsVector(), nnfw::cker::MapAsVector(), nnfw::cker::train::MSE(), nnfw::cker::train::MSEGrad(), Mul(), luci_interpreter_pal::lstm_internal::mulElementwise(), nnfw::cker::optimized::MulElementwise(), nnfw::cker::optimized::MulElementwise(), nnfw::cker::optimized::MulSimpleBroadcast(), nnfw::cker::optimized::MulSimpleBroadcast(), nnfw::cker::Neg(), nnfw_load_circle_from_buffer(), onert::backend::basic::TensorBuilder::notifyFirstUse(), onert::backend::builtin::TensorBuilder::notifyFirstUse(), npud::core::DBus::on_handle_buffers_create(), npud::core::DBus::on_handle_buffers_destroy(), npud::core::DBus::on_handle_request_set_data(), nnfw::cker::FusedBatchNorm::operator()(), nnfw::cker::functor::FillPhiloxRandom< CPUDevice, Distribution >::operator()(), circledump::SqueezePrinter::options(), tfldump::SqueezePrinter::options(), luci::output_node(), loco::output_nodes(), moco::placeholder_node(), nnfw::cker::PortableAsymmetricQuantizeFloats(), nnfw::cker::PortableSymmetricQuantizeFloats(), tflimport::TensorContext::prepare(), tflimport::TensorBags::prepare(), nnkit::support::tf::Runner::prepareInputs(), loco::pull_node(), loco::push_node(), moco::push_node(), exo::circle_detail::registerGraphIOName(), exo::tflite_detail::registerGraphIOName(), onert::backend::basic::FirstFitPlanner::release(), flatbuffers::FlatBufferBuilder::ReleaseRaw(), flatbuffers::grpc::MessageBuilder::ReleaseRaw(), nnfw::cker::ReLU6(), nnfw::cker::Requantize(), nnfw::cker::Requantize< int8_t, uint8_t >(), nnfw::cker::Requantize< uint8_t, int8_t >(), luci_interpreter::RuntimeGraph::resetOutputTensorsData(), mir::Index::resize(), mir::Shape::resize(), nncc::core::ADT::tensor::Index::resize(), nncc::core::ADT::tensor::Shape::resize(), nnfw::cker::Rsqrt(), nnfw::cker::functor::FillPhiloxRandomTask< Distribution, true >::Run(), nnfw::cker::functor::FillPhiloxRandomTask< Distribution, false >::Run(), tflite::reference_ops::SelectTrueCoords(), MappedMemory::set(), locoex::set_new_shape(), onert::backend::builtin::UserTensor::setBuffer(), nnkit::support::moco::tf::Backend::setInputOutputFromGraph(), onert::backend::builtin::IOTensor::setUserTensor(), nnfw::cker::Sin(), flatbuffers::FLATBUFFERS_FINAL_CLASS< T >::size_bytes(), onert::backend::cpu::ops::sizeOfData(), sizeOfData(), luci::CircleFileExpContract::store(), Sub(), luci::swap_mul_add(), luci::symmetric_wquant_with_minmax_per_layer(), nnfw::cker::SymmetricQuantizeFloats(), tflimport::TflBufferContext::tensor_buffer(), nnfw_session::train_set_expected(), nnfw_session::train_set_input(), onert::exec::DynamicShapeInferer::visit(), onert::ir::OperationValidator::visit(), and locomotiv::Session::~Session().

                                        diff --git a/onnx2circle_8cpp_source.html b/onnx2circle_8cpp_source.html index 91e03628a16..f78ace30693 100644 --- a/onnx2circle_8cpp_source.html +++ b/onnx2circle_8cpp_source.html @@ -176,7 +176,7 @@
                                        75#define INFO(name) HERMES_INFO(name)
                                        76
                                        -
                                        77int main(int argc, char **argv)
                                        +
                                        77int main(int argc, char **argv)
                                        78{
                                        80
                                        @@ -232,7 +232,7 @@
                                        KnobTrait< K >::ValueType get(void)
                                        std::unique_ptr< mir::Graph > loadModel(const std::string &filename)
                                        -
                                        int main()
                                        Definition main.cpp:58
                                        +
                                        int main()
                                        Definition main.cpp:58
                                        #define LOGGER(name)
                                        #define INFO(name)
                                        static hermes::Context * get(void)
                                        diff --git a/operation_2_depthwise_conv_8h.html b/operation_2_depthwise_conv_8h.html index e31aede45cc..22daa44f77b 100644 --- a/operation_2_depthwise_conv_8h.html +++ b/operation_2_depthwise_conv_8h.html @@ -101,9 +101,9 @@ #include "cker/Utils.h"
                                        #include "cker/neon/neon_check.h"
                                        #include "cker/operation/optimized/DepthwiseConvFloat.h"
                                        -#include "cker/operation/optimized/DepthwiseConvUint8.h"
                                        +#include "cker/operation/optimized/DepthwiseConvUint8.h"
                                        #include "cker/operation/optimized/integer_ops/DepthwiseConvInt8.h"
                                        -#include "cker/operation/reference/integer_ops/DepthwiseConvUInt8.h"
                                        +#include "cker/operation/reference/integer_ops/DepthwiseConvUInt8.h"
                                        #include "cker/operation/reference/integer_ops/DepthwiseConvHybrid.h"
                                        #include "cker/CpuBackendThreadpool.h"
                                        diff --git a/operation_2_depthwise_conv_8h_source.html b/operation_2_depthwise_conv_8h_source.html index 8ac47584a48..7b379189057 100644 --- a/operation_2_depthwise_conv_8h_source.html +++ b/operation_2_depthwise_conv_8h_source.html @@ -122,9 +122,9 @@
                                        23#include "cker/Utils.h"
                                        - + - +
                                        31
                                        @@ -314,8 +314,8 @@
                                        int HowManyConvThreads(const Shape &output_shape, const Shape &filter_shape)
                                        bool MultithreadAlongBatches(int thread_count, int batches)
                                        Definition topk_v2.h:30
                                        - - + + diff --git a/optimized_2_depthwise_conv_uint8_8h.html b/optimized_2_depthwise_conv_u_int8_8h.html similarity index 97% rename from optimized_2_depthwise_conv_uint8_8h.html rename to optimized_2_depthwise_conv_u_int8_8h.html index d4c98c11e64..f4fc975280f 100644 --- a/optimized_2_depthwise_conv_uint8_8h.html +++ b/optimized_2_depthwise_conv_u_int8_8h.html @@ -63,7 +63,7 @@
                                        @@ -104,7 +104,7 @@ #include <fixedpoint/fixedpoint.h>
                                        #include <public/gemmlowp.h>
                                        -

                                        Go to the source code of this file.

                                        +

                                        Go to the source code of this file.

                                        Namespaces

                                        @@ -124,7 +124,7 @@

                                        Data Structures

                                        - +

                                        Macros

                                        #define TFMINI_USE_DEPTHWISECONV_KERNEL(ALLOW_STRIDED, FIXED_INPUT_DEPTH, FIXED_DEPTH_MULTIPLIER)
                                        #define TFMINI_USE_DEPTHWISECONV_KERNEL(ALLOW_STRIDED, FIXED_INPUT_DEPTH, FIXED_DEPTH_MULTIPLIER)
                                         
                                        - +

                                        @@ -190,7 +190,7 @@

                                        diff --git a/optimized_2_depthwise_conv_u_int8_8h.js b/optimized_2_depthwise_conv_u_int8_8h.js new file mode 100644 index 00000000000..b73962a6e04 --- /dev/null +++ b/optimized_2_depthwise_conv_u_int8_8h.js @@ -0,0 +1,11 @@ +var optimized_2_depthwise_conv_u_int8_8h = +[ + [ "nnfw::cker::optimized::depthwise_conv::QuantizedDepthwiseConvKernel< kAllowStrided, kFixedInputDepth, kFixedDepthMultiplier >", "structnnfw_1_1cker_1_1optimized_1_1depthwise__conv_1_1_quantized_depthwise_conv_kernel.html", null ], + [ "TFMINI_USE_DEPTHWISECONV_KERNEL", "optimized_2_depthwise_conv_u_int8_8h.html#a5d6cdde4feb9761abaa001f402b79f27", null ], + [ "DepthwiseConvGeneral", "optimized_2_depthwise_conv_u_int8_8h.html#a9e5f7a3eadfba82e028f4983a462c5cb", null ], + [ "DepthwiseConvImpl", "optimized_2_depthwise_conv_u_int8_8h.html#a7f843a8c10add9f97826e1952b289a07", null ], + [ "DepthwiseConvInitAccBuffer", "optimized_2_depthwise_conv_u_int8_8h.html#a2b1b66890f9515899386cdb50acafbe3", null ], + [ "DepthwiseConvWithRounding", "optimized_2_depthwise_conv_u_int8_8h.html#ab9b6acc151e330c9742628a2f37650b6", null ], + [ "QuantizedDepthwiseConvAccumRow", "optimized_2_depthwise_conv_u_int8_8h.html#adf2547e9a7129861ac2bb8a7b32ab4b2", null ], + [ "QuantizedDepthwiseConvAccumRowGeneric", "optimized_2_depthwise_conv_u_int8_8h.html#aa432b80504a69aefe8ee0a4f0a4d94f8", null ] +]; \ No newline at end of file diff --git a/optimized_2_depthwise_conv_uint8_8h_source.html b/optimized_2_depthwise_conv_u_int8_8h_source.html similarity index 99% rename from optimized_2_depthwise_conv_uint8_8h_source.html rename to optimized_2_depthwise_conv_u_int8_8h_source.html index aa3f9e2c684..f6e3a32fd5b 100644 --- a/optimized_2_depthwise_conv_uint8_8h_source.html +++ b/optimized_2_depthwise_conv_u_int8_8h_source.html @@ -68,7 +68,7 @@
                                        @@ -97,7 +97,7 @@
                                        DepthwiseConvUint8.h
                                        -Go to the documentation of this file.
                                        1/*
                                        +Go to the documentation of this file.
                                        1/*
                                        2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
                                        3 * Copyright 2017 The TensorFlow Authors. All Rights Reserved.
                                        4 *
                                        @@ -2384,11 +2384,11 @@ -
                                        void DepthwiseConvInitAccBuffer(int num_output_pixels, int output_depth, const int32_t *bias_data, int32_t *acc_buffer)
                                        -
                                        void DepthwiseConvGeneral(const DepthwiseConvParams &params, const Shape &input_shape, const uint8_t *input_data, const Shape &filter_shape, const uint8_t *filter_data, const Shape &bias_shape, const int32_t *bias_data, const Shape &output_shape, uint8_t *output_data, int thread_start, int thread_end, int thread_dim)
                                        -
                                        void QuantizedDepthwiseConvAccumRowGeneric(int stride, int dilation_factor, int input_depth, int input_width, const uint8_t *input_data, int16_t input_offset, int pad_width, int depth_multiplier, int filter_width, const uint8_t *filter_data, int16_t filter_offset, int out_x_buffer_start, int out_x_buffer_end, int output_depth, int32_t *acc_buffer)
                                        -
                                        void QuantizedDepthwiseConvAccumRow(int stride, int dilation_factor, int input_depth, int input_width, const uint8_t *input_data, int16_t input_offset, int pad_width, int depth_multiplier, int filter_width, const uint8_t *filter_data, int16_t filter_offset, int out_x_buffer_start, int out_x_buffer_end, int output_depth, int32_t *acc_buffer)
                                        -
                                        void DepthwiseConvWithRounding(const DepthwiseConvParams &params, const Shape &input_shape, const uint8_t *input_data, const Shape &filter_shape, const uint8_t *filter_data, const Shape &bias_shape, const int32_t *bias_data, const Shape &output_shape, uint8_t *output_data, int thread_start, int thread_end, int thread_dim)
                                        +
                                        void DepthwiseConvInitAccBuffer(int num_output_pixels, int output_depth, const int32_t *bias_data, int32_t *acc_buffer)
                                        +
                                        void DepthwiseConvGeneral(const DepthwiseConvParams &params, const Shape &input_shape, const uint8_t *input_data, const Shape &filter_shape, const uint8_t *filter_data, const Shape &bias_shape, const int32_t *bias_data, const Shape &output_shape, uint8_t *output_data, int thread_start, int thread_end, int thread_dim)
                                        +
                                        void QuantizedDepthwiseConvAccumRowGeneric(int stride, int dilation_factor, int input_depth, int input_width, const uint8_t *input_data, int16_t input_offset, int pad_width, int depth_multiplier, int filter_width, const uint8_t *filter_data, int16_t filter_offset, int out_x_buffer_start, int out_x_buffer_end, int output_depth, int32_t *acc_buffer)
                                        +
                                        void QuantizedDepthwiseConvAccumRow(int stride, int dilation_factor, int input_depth, int input_width, const uint8_t *input_data, int16_t input_offset, int pad_width, int depth_multiplier, int filter_width, const uint8_t *filter_data, int16_t filter_offset, int out_x_buffer_start, int out_x_buffer_end, int output_depth, int32_t *acc_buffer)
                                        +
                                        void DepthwiseConvWithRounding(const DepthwiseConvParams &params, const Shape &input_shape, const uint8_t *input_data, const Shape &filter_shape, const uint8_t *filter_data, const Shape &bias_shape, const int32_t *bias_data, const Shape &output_shape, uint8_t *output_data, int thread_start, int thread_end, int thread_dim)
                                        void DepthwiseConvImpl(const DepthwiseConvParams &params, const Shape &input_shape, const float *input_data, const Shape &filter_shape, const float *filter_data, const Shape &bias_shape, const float *bias_data, const Shape &output_shape, float *output_data, int thread_start, int thread_end, int thread_dim)
                                        int MatchingDim(const Shape &shape1, int index1, const Shape &shape2, int index2)
                                        Definition Shape.h:222
                                        int FlatSizeSkipDim(const Shape &shape, int skip_dim)
                                        Definition Shape.h:257
                                        @@ -2410,13 +2410,13 @@ - +
                                        diff --git a/optimized_2_depthwise_conv_uint8_8h.js b/optimized_2_depthwise_conv_uint8_8h.js deleted file mode 100644 index b694d277860..00000000000 --- a/optimized_2_depthwise_conv_uint8_8h.js +++ /dev/null @@ -1,11 +0,0 @@ -var optimized_2_depthwise_conv_uint8_8h = -[ - [ "nnfw::cker::optimized::depthwise_conv::QuantizedDepthwiseConvKernel< kAllowStrided, kFixedInputDepth, kFixedDepthMultiplier >", "structnnfw_1_1cker_1_1optimized_1_1depthwise__conv_1_1_quantized_depthwise_conv_kernel.html", null ], - [ "TFMINI_USE_DEPTHWISECONV_KERNEL", "optimized_2_depthwise_conv_uint8_8h.html#a5d6cdde4feb9761abaa001f402b79f27", null ], - [ "DepthwiseConvGeneral", "optimized_2_depthwise_conv_uint8_8h.html#a9e5f7a3eadfba82e028f4983a462c5cb", null ], - [ "DepthwiseConvImpl", "optimized_2_depthwise_conv_uint8_8h.html#a7f843a8c10add9f97826e1952b289a07", null ], - [ "DepthwiseConvInitAccBuffer", "optimized_2_depthwise_conv_uint8_8h.html#a2b1b66890f9515899386cdb50acafbe3", null ], - [ "DepthwiseConvWithRounding", "optimized_2_depthwise_conv_uint8_8h.html#ab9b6acc151e330c9742628a2f37650b6", null ], - [ "QuantizedDepthwiseConvAccumRow", "optimized_2_depthwise_conv_uint8_8h.html#adf2547e9a7129861ac2bb8a7b32ab4b2", null ], - [ "QuantizedDepthwiseConvAccumRowGeneric", "optimized_2_depthwise_conv_uint8_8h.html#aa432b80504a69aefe8ee0a4f0a4d94f8", null ] -]; \ No newline at end of file diff --git a/reference_2integer__ops_2_depthwise_conv_uint8_8h.html b/reference_2integer__ops_2_depthwise_conv_u_int8_8h.html similarity index 97% rename from reference_2integer__ops_2_depthwise_conv_uint8_8h.html rename to reference_2integer__ops_2_depthwise_conv_u_int8_8h.html index d691ed48d72..61b00b116e6 100644 --- a/reference_2integer__ops_2_depthwise_conv_uint8_8h.html +++ b/reference_2integer__ops_2_depthwise_conv_u_int8_8h.html @@ -63,7 +63,7 @@
                                        @@ -99,7 +99,7 @@ #include "cker/Types.h"
                                        #include "cker/Utils.h"
                                        -

                                        Go to the source code of this file.

                                        +

                                        Go to the source code of this file.

                                        @@ -120,7 +120,7 @@ diff --git a/reference_2integer__ops_2_depthwise_conv_u_int8_8h.js b/reference_2integer__ops_2_depthwise_conv_u_int8_8h.js new file mode 100644 index 00000000000..0d808a735eb --- /dev/null +++ b/reference_2integer__ops_2_depthwise_conv_u_int8_8h.js @@ -0,0 +1,4 @@ +var reference_2integer__ops_2_depthwise_conv_u_int8_8h = +[ + [ "DepthwiseConvPerChannel", "reference_2integer__ops_2_depthwise_conv_u_int8_8h.html#add363de1fa752992e683a41cdd38e6dc", null ] +]; \ No newline at end of file diff --git a/reference_2integer__ops_2_depthwise_conv_uint8_8h_source.html b/reference_2integer__ops_2_depthwise_conv_u_int8_8h_source.html similarity index 98% rename from reference_2integer__ops_2_depthwise_conv_uint8_8h_source.html rename to reference_2integer__ops_2_depthwise_conv_u_int8_8h_source.html index b976eb58494..4b74928223a 100644 --- a/reference_2integer__ops_2_depthwise_conv_uint8_8h_source.html +++ b/reference_2integer__ops_2_depthwise_conv_u_int8_8h_source.html @@ -68,7 +68,7 @@
                                        @@ -97,7 +97,7 @@
                                        DepthwiseConvUInt8.h
                                        -Go to the documentation of this file.
                                        1/*
                                        +Go to the documentation of this file.
                                        1/*
                                        2 * Copyright (c) 2022 Samsung Electronics Co., Ltd. All Rights Reserved
                                        3 * Copyright 2019 The TensorFlow Authors. All Rights Reserved.
                                        4 *
                                        @@ -261,7 +261,7 @@
                                        #define UNUSED_RELEASE(a)
                                        Definition Shape.h:26
                                        -
                                        void DepthwiseConvPerChannel(const DepthwiseConvParams &params, const int32_t *output_multiplier, const int32_t *output_shift, const Shape &input_shape, const uint8_t *input_data, const Shape &filter_shape, const uint8_t *filter_data, const int32_t *filter_zeropoint, const Shape &bias_shape, const int32_t *bias_data, const Shape &output_shape, uint8_t *output_data)
                                        +
                                        void DepthwiseConvPerChannel(const DepthwiseConvParams &params, const int32_t *output_multiplier, const int32_t *output_shift, const Shape &input_shape, const uint8_t *input_data, const Shape &filter_shape, const uint8_t *filter_data, const int32_t *filter_zeropoint, const Shape &bias_shape, const int32_t *bias_data, const Shape &output_shape, uint8_t *output_data)
                                        int MatchingDim(const Shape &shape1, int index1, const Shape &shape2, int index2)
                                        Definition Shape.h:222
                                        int Offset(const Shape &shape, int i0, int i1, int i2, int i3)
                                        Definition Shape.h:241
                                        int32_t MultiplyByQuantizedMultiplier(int32_t x, int32_t quantized_multiplier, int shift)
                                        Definition Utils.h:93
                                        @@ -284,7 +284,7 @@ diff --git a/reference_2integer__ops_2_depthwise_conv_uint8_8h.js b/reference_2integer__ops_2_depthwise_conv_uint8_8h.js deleted file mode 100644 index 65f5b7a1239..00000000000 --- a/reference_2integer__ops_2_depthwise_conv_uint8_8h.js +++ /dev/null @@ -1,4 +0,0 @@ -var reference_2integer__ops_2_depthwise_conv_uint8_8h = -[ - [ "DepthwiseConvPerChannel", "reference_2integer__ops_2_depthwise_conv_uint8_8h.html#add363de1fa752992e683a41cdd38e6dc", null ] -]; \ No newline at end of file diff --git a/runtime_2libs_2tflite_2include_2tflite_2assert_8h.html b/runtime_2libs_2tflite_2include_2tflite_2_assert_8h.html similarity index 88% rename from runtime_2libs_2tflite_2include_2tflite_2assert_8h.html rename to runtime_2libs_2tflite_2include_2tflite_2_assert_8h.html index ef056289e76..fa4ebdf27c9 100644 --- a/runtime_2libs_2tflite_2include_2tflite_2assert_8h.html +++ b/runtime_2libs_2tflite_2include_2tflite_2_assert_8h.html @@ -63,7 +63,7 @@
                                        @@ -100,21 +100,21 @@
                                        #include "tensorflow/lite/context.h"
                                        #include <sstream>
                                        -

                                        Go to the source code of this file.

                                        +

                                        Go to the source code of this file.

                                        Namespaces

                                        - + - + - +

                                        Macros

                                        #define STR_DETAIL(value)   #value
                                        #define STR_DETAIL(value)   #value
                                         
                                        #define STR(value)   STR_DETAIL(value)
                                        #define STR(value)   STR_DETAIL(value)
                                         
                                        #define TFLITE_ENSURE(exp)
                                        #define TFLITE_ENSURE(exp)
                                         

                                        Detailed Description

                                        This file contains helper function of assertion.

                                        -

                                        Definition in file Assert.h.

                                        +

                                        Definition in file Assert.h.

                                        Macro Definition Documentation

                                        ◆ STR

                                        @@ -127,12 +127,12 @@

                                         

                                        value)   STR_DETAIL(value)   STR_DETAIL(value)
                                        -

                                        Definition at line 31 of file Assert.h.

                                        +

                                        Definition at line 31 of file Assert.h.

                                        @@ -152,7 +152,7 @@

                                        -

                                        Definition at line 30 of file Assert.h.

                                        +

                                        Definition at line 30 of file Assert.h.

                                        @@ -182,7 +182,7 @@

                                        } \

                                        }
                                        -

                                        Definition at line 33 of file Assert.h.

                                        +

                                        Definition at line 33 of file Assert.h.

                                        34 { \
                                        35 const TfLiteStatus status = (exp); \
                                        36 \
                                        @@ -202,7 +202,7 @@

                                        diff --git a/runtime_2libs_2tflite_2include_2tflite_2_assert_8h.js b/runtime_2libs_2tflite_2include_2tflite_2_assert_8h.js new file mode 100644 index 00000000000..78cafbad57d --- /dev/null +++ b/runtime_2libs_2tflite_2include_2tflite_2_assert_8h.js @@ -0,0 +1,6 @@ +var runtime_2libs_2tflite_2include_2tflite_2_assert_8h = +[ + [ "STR", "runtime_2libs_2tflite_2include_2tflite_2_assert_8h.html#a0b97411bd8f9f407c0de49c1404a233f", null ], + [ "STR_DETAIL", "runtime_2libs_2tflite_2include_2tflite_2_assert_8h.html#ac68da788f9a8fc07d50808da01ac5be0", null ], + [ "TFLITE_ENSURE", "runtime_2libs_2tflite_2include_2tflite_2_assert_8h.html#a77c5d212e94f0d919edbb855595fcb99", null ] +]; \ No newline at end of file diff --git a/runtime_2libs_2tflite_2include_2tflite_2assert_8h_source.html b/runtime_2libs_2tflite_2include_2tflite_2_assert_8h_source.html similarity index 92% rename from runtime_2libs_2tflite_2include_2tflite_2assert_8h_source.html rename to runtime_2libs_2tflite_2include_2tflite_2_assert_8h_source.html index 230fcc27242..3563a9d7f73 100644 --- a/runtime_2libs_2tflite_2include_2tflite_2assert_8h_source.html +++ b/runtime_2libs_2tflite_2include_2tflite_2_assert_8h_source.html @@ -68,7 +68,7 @@
                                        @@ -97,7 +97,7 @@
                                        Assert.h
                                        -Go to the documentation of this file.
                                        1/*
                                        +Go to the documentation of this file.
                                        1/*
                                        2 * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
                                        3 *
                                        4 * Licensed under the Apache License, Version 2.0 (the "License");
                                        @@ -120,11 +120,11 @@
                                        27
                                        28#include <sstream>
                                        29
                                        -
                                        30#define STR_DETAIL(value) #value
                                        -
                                        31#define STR(value) STR_DETAIL(value)
                                        +
                                        30#define STR_DETAIL(value) #value
                                        +
                                        31#define STR(value) STR_DETAIL(value)
                                        32
                                        -
                                        33#define TFLITE_ENSURE(exp) \
                                        +
                                        33#define TFLITE_ENSURE(exp) \
                                        34 { \
                                        35 const TfLiteStatus status = (exp); \
                                        36 \
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['reference_5foutput_5fdata_5f1_12',['reference_output_data_1',['../namespaceluci__interpreter_1_1test__kernel_1_1split__float.html#a2e43445937a37fc6b9291ca02b9328ff',1,'luci_interpreter::test_kernel::split_float::reference_output_data_1'],['../namespaceluci__interpreter_1_1test__kernel_1_1split__int.html#aa3745bbed8cbc19eed2c88cfc1a54a6d',1,'luci_interpreter::test_kernel::split_int::reference_output_data_1'],['../namespaceluci__interpreter_1_1test__kernel_1_1split__v__kernel.html#ab3dd3bc738a4744d1f164877e80333b7',1,'luci_interpreter::test_kernel::split_v_kernel::reference_output_data_1'],['../namespaceluci__interpreter_1_1test__kernel_1_1unpack__float.html#a5c42219e0c49055f23a2b561c3090ca6',1,'luci_interpreter::test_kernel::unpack_float::reference_output_data_1']]], diff --git a/search/variables_8.js b/search/variables_8.js index 3aeebe62c1d..ed7ac94a022 100644 --- a/search/variables_8.js +++ b/search/variables_8.js @@ -16,7 +16,7 @@ var searchData= 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ba13a4ffc14..3936d97326d 100644 --- a/souschef_2include_2souschef_2_dims_8h.html +++ b/souschef_2include_2souschef_2dims_8h.html @@ -63,7 +63,7 @@
                                        @@ -101,7 +101,7 @@ #include <numeric>
                                        #include <vector>
                                        -

                                        Go to the source code of this file.

                                        +

                                        Go to the source code of this file.

                                        @@ -128,7 +128,7 @@ diff --git a/souschef_2include_2souschef_2dims_8h.js b/souschef_2include_2souschef_2dims_8h.js new file mode 100644 index 00000000000..e569a28e4af --- /dev/null +++ b/souschef_2include_2souschef_2dims_8h.js @@ -0,0 +1,6 @@ +var souschef_2include_2souschef_2dims_8h = +[ + [ "Dims", "souschef_2include_2souschef_2dims_8h.html#af6901c7c7d76de2d622df38926a477da", null ], + [ "as_dims", "souschef_2include_2souschef_2dims_8h.html#a10d51f2d9d0d47521dab1a8eee903de4", null ], + [ "element_count", "souschef_2include_2souschef_2dims_8h.html#a7e8607f8d2dc0b463db477b36c6ab989", null ] +]; \ No newline at end of file diff --git a/souschef_2include_2souschef_2_dims_8h_source.html b/souschef_2include_2souschef_2dims_8h_source.html similarity index 95% rename from souschef_2include_2souschef_2_dims_8h_source.html rename to souschef_2include_2souschef_2dims_8h_source.html index 9bfbe86b0d7..023d2571d5e 100644 --- a/souschef_2include_2souschef_2_dims_8h_source.html +++ b/souschef_2include_2souschef_2dims_8h_source.html @@ -68,7 +68,7 @@
                                        @@ -97,7 +97,7 @@
                                        Dims.h
                                        -Go to the documentation of this file.
                                        1/*
                                        +Go to the documentation of this file.
                                        1/*
                                        2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
                                        3 *
                                        4 * Licensed under the Apache License, Version 2.0 (the "License");
                                        @@ -151,15 +151,15 @@
                                        48
                                        49#endif // __SOUSCHEF_DIMS_H__
                                        This file provides string <-> number cast helpers.
                                        Definition Arguments.h:24
                                        -
                                        Dims< int32_t > as_dims(const SHAPETYPE &shape)
                                        Definition Dims.h:30
                                        -
                                        int32_t element_count(const Dims< int32_t > &dims)
                                        Definition Dims.h:42
                                        -
                                        Definition Dims.h:26
                                        +
                                        Dims< int32_t > as_dims(const SHAPETYPE &shape)
                                        Definition Dims.h:30
                                        +
                                        int32_t element_count(const Dims< int32_t > &dims)
                                        Definition Dims.h:42
                                        +
                                        Definition Dims.h:26
                                        diff --git a/souschef_2src_2_dims_8cpp.html b/souschef_2src_2dims_8cpp.html similarity index 92% rename from souschef_2src_2_dims_8cpp.html rename to souschef_2src_2dims_8cpp.html index 5ac3c4f32f4..324e52af9d6 100644 --- a/souschef_2src_2_dims_8cpp.html +++ b/souschef_2src_2dims_8cpp.html @@ -63,7 +63,7 @@
                                        @@ -92,15 +92,15 @@
                                        Dims.cpp File Reference
                                        diff --git a/souschef_2src_2_dims_8cpp_source.html b/souschef_2src_2dims_8cpp_source.html similarity index 91% rename from souschef_2src_2_dims_8cpp_source.html rename to souschef_2src_2dims_8cpp_source.html index 2ef368428d3..ded8069fcb0 100644 --- a/souschef_2src_2_dims_8cpp_source.html +++ b/souschef_2src_2dims_8cpp_source.html @@ -68,7 +68,7 @@
                                        @@ -97,7 +97,7 @@
                                        Dims.cpp
                                        -Go to the documentation of this file.
                                        1/*
                                        +Go to the documentation of this file.
                                        1/*
                                        2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
                                        3 *
                                        4 * Licensed under the Apache License, Version 2.0 (the "License");
                                        @@ -113,16 +113,16 @@
                                        14 * limitations under the License.
                                        15 */
                                        16
                                        -
                                        17#include "souschef/Dims.h"
                                        +
                                        17#include "souschef/Dims.h"
                                        18
                                        19// NOTE Do NOT delete this file; this file checks the completeness of 'Dims.h'
                                        - +
                                        diff --git a/struct_conv_backend.html b/struct_conv_backend.html index 46b1025a65b..4dd3188ad30 100644 --- a/struct_conv_backend.html +++ b/struct_conv_backend.html @@ -238,7 +238,7 @@

                                        145} -
                                        Dims< uint32_t > as_dims(const nncc::core::ADT::tensor::Shape &)
                                        Definition dims.cpp:24
                                        +
                                        Dims< uint32_t > as_dims(const nncc::core::ADT::tensor::Shape &)
                                        Definition dims.cpp:24
                                        uint32_t num_elements(const Shape &shape)
                                        The number of elements of a feature map of a given shape.
                                        Definition Shape.h:59
                                        uint32_t num_elements(const Shape &shape)
                                        Return the number of elements in a kernel of a given shape.
                                        Definition Shape.h:61
                                        Overlay< T, T * > make_overlay(const Shape &shape, T *base)
                                        Definition Overlay.h:71
                                        diff --git a/struct_dims.html b/struct_dims.html index 99c994c3671..a864e41707c 100644 --- a/struct_dims.html +++ b/struct_dims.html @@ -95,7 +95,7 @@
                                        -

                                        #include <Dims.h>

                                        +

                                        #include <Dims.h>

                                        Namespaces

                                        @@ -107,7 +107,7 @@

                                        Detailed Description

                                        template<int N>
                                        struct Dims< N >
                                        -

                                        Definition at line 25 of file Dims.h.

                                        +

                                        Definition at line 25 of file Dims.h.

                                        Field Documentation

                                        ◆ sizes

                                        @@ -123,9 +123,9 @@

                                        -

                                        Definition at line 27 of file Dims.h.

                                        +

                                        Definition at line 27 of file Dims.h.

                                        -

                                        Referenced by Add(), AddBiasAndEvalActivationFunction(), ArraySize(), Concatenation(), convertShapeToDims(), Div(), FlatSize(), IsPackedWithoutStrides(), MapAsArrayWithFirstDimAsRows(), MapAsMatrixWithFirstDimAsRows(), MapAsMatrixWithGivenNumberOfRows(), MapAsMatrixWithLastDimAsCols(), Mul(), NdArrayDescsForElementwiseBroadcast(), Offset(), RequiredBufferSizeForDims(), and Sub().

                                        +

                                        Referenced by Add(), AddBiasAndEvalActivationFunction(), ArraySize(), Concatenation(), convertShapeToDims(), Div(), FlatSize(), IsPackedWithoutStrides(), MapAsArrayWithFirstDimAsRows(), MapAsMatrixWithFirstDimAsRows(), MapAsMatrixWithGivenNumberOfRows(), MapAsMatrixWithLastDimAsCols(), Mul(), NdArrayDescsForElementwiseBroadcast(), Offset(), RequiredBufferSizeForDims(), and Sub().

                                        @@ -143,14 +143,14 @@

                                        -

                                        Definition at line 28 of file Dims.h.

                                        +

                                        Definition at line 28 of file Dims.h.

                                        -

                                        Referenced by Add(), AddBiasAndEvalActivationFunction(), Concatenation(), convertShapeToDims(), optimized_ops::DepthwiseConv(), Div(), IsPackedWithoutStrides(), Mul(), NdArrayDescsForElementwiseBroadcast(), Offset(), RequiredBufferSizeForDims(), and Sub().

                                        +

                                        Referenced by Add(), AddBiasAndEvalActivationFunction(), Concatenation(), convertShapeToDims(), optimized_ops::DepthwiseConv(), Div(), IsPackedWithoutStrides(), Mul(), NdArrayDescsForElementwiseBroadcast(), Offset(), RequiredBufferSizeForDims(), and Sub().


                                        The documentation for this struct was generated from the following file:
                                          -
                                        • compiler/ann-ref/src/ops/internal/Dims.h
                                        • +
                                        • compiler/ann-ref/src/ops/internal/Dims.h
                                        diff --git a/struct_leaky_relu_chef_factory.html b/struct_leaky_relu_chef_factory.html index bb97db51ffd..ce3279c000e 100644 --- a/struct_leaky_relu_chef_factory.html +++ b/struct_leaky_relu_chef_factory.html @@ -147,7 +147,7 @@

                                        OpChefFactory.

                                        -

                                        Definition at line 31 of file LeakyRelu.cpp.

                                        +

                                        Definition at line 31 of file LeakyRelu.cpp.

                                        32{
                                        33 return std::unique_ptr<OpChef>{new LeakyReluChef{operation}};
                                        34}
                                        @@ -157,7 +157,7 @@

                                        LeakyRelu.h -
                                      • compiler/tflchef/core/src/Op/LeakyRelu.cpp
                                      • +
                                      • compiler/tflchef/core/src/Op/LeakyRelu.cpp
                                      • diff --git a/struct_model_argument_info.html b/struct_model_argument_info.html index b6e07496108..cb581e4c2d9 100644 --- a/struct_model_argument_info.html +++ b/struct_model_argument_info.html @@ -360,7 +360,7 @@

                                        Definition at line 81 of file ModelArgumentInfo.cpp.

                                        83{
                                        -
                                        84 ASSERT(dimensions.empty());
                                        +
                                        84 ASSERT(dimensions.empty());
                                        85 if (newType == nullptr)
                                        86 {
                                        87 for (auto i : operand.dimensions)
                                        @@ -399,13 +399,13 @@

                                        120 return ANEURALNETWORKS_NO_ERROR;

                                        121}
                                        OperandType
                                        Definition OperandType.h:24
                                        -
                                        #define ASSERT(v)
                                        Definition Assert.h:24
                                        +
                                        #define ASSERT(v)
                                        Definition Assert.h:24
                                        std::vector< uint32_t > dimensions
                                        Definition Operand.h:46
                                        -

                                        References ANEURALNETWORKS_BAD_DATA, ANEURALNETWORKS_NO_ERROR, ASSERT, ANeuralNetworksOperandType::dimensionCount, ANeuralNetworksOperandType::dimensions, dimensions, Operand::dimensions, LOG, ANeuralNetworksOperandType::type, and Operand::type.

                                        +

                                        References ANEURALNETWORKS_BAD_DATA, ANEURALNETWORKS_NO_ERROR, ASSERT, ANeuralNetworksOperandType::dimensionCount, ANeuralNetworksOperandType::dimensions, dimensions, Operand::dimensions, LOG, ANeuralNetworksOperandType::type, and Operand::type.

                                        Referenced by setFromMemory(), and setFromPointer().

                                        diff --git a/struct_shape.html b/struct_shape.html index 1adacb27c5f..7d733bd1693 100644 --- a/struct_shape.html +++ b/struct_shape.html @@ -138,7 +138,7 @@

                                        Definition at line 30 of file Shape.h.

                                        -

                                        Referenced by addPrepare(), convertShapeToDims(), divPrepare(), getNumberOfDimensions(), getNumberOfElements(), getSizeOfDimension(), mulPrepare(), reshapeGeneric(), SameShape(), SetShape(), softmaxFloat32(), and subPrepare().

                                        +

                                        Referenced by addPrepare(), convertShapeToDims(), divPrepare(), getNumberOfDimensions(), getNumberOfElements(), getSizeOfDimension(), mulPrepare(), reshapeGeneric(), SameShape(), SetShape(), softmaxFloat32(), and subPrepare().

                                        diff --git a/structcirops_1_1_dump_option.html b/structcirops_1_1_dump_option.html index ca45d229516..5ac45011bf1 100644 --- a/structcirops_1_1_dump_option.html +++ b/structcirops_1_1_dump_option.html @@ -142,7 +142,7 @@

                                        Definition at line 30 of file Dump.h.

                                        -

                                        Referenced by entry().

                                        +

                                        Referenced by entry().

                                        @@ -160,7 +160,7 @@

                                        Definition at line 29 of file Dump.h.

                                        -

                                        Referenced by entry().

                                        +

                                        Referenced by entry().

                                        diff --git a/structloco_1_1_canonical_shape_inference_rule.html b/structloco_1_1_canonical_shape_inference_rule.html index 32ad1ebd88f..d8ce86704fc 100644 --- a/structloco_1_1_canonical_shape_inference_rule.html +++ b/structloco_1_1_canonical_shape_inference_rule.html @@ -244,7 +244,7 @@

                                        747 ::compat::Context ctx;
                                        748 ::compat::Sink sink;
                                        749
                                        -
                                        750 infer(&ctx, node, &sink);
                                        +
                                        750 infer(&ctx, node, &sink);
                                        751
                                        752 assert(sink.status() == ::compat::Sink::Okay or sink.status() == ::compat::Sink::Fail);
                                        753
                                        @@ -256,9 +256,9 @@

                                        759 shape = sink.shape();
                                        760 return true;
                                        761}
                                        -
                                        std::vector< float > infer()
                                        Definition main.cpp:25
                                        +
                                        std::vector< float > infer()
                                        Definition main.cpp:25
                                        -

                                        References infer().

                                        +

                                        References infer().

                                        diff --git a/structluci_1_1_replace_non_const_f_c_with_batch_mat_mul_pass.html b/structluci_1_1_replace_non_const_f_c_with_batch_mat_mul_pass.html index c4c4cd17932..088241f8141 100644 --- a/structluci_1_1_replace_non_const_f_c_with_batch_mat_mul_pass.html +++ b/structluci_1_1_replace_non_const_f_c_with_batch_mat_mul_pass.html @@ -186,20 +186,20 @@

                                        logo::Pass.

                                        -

                                        Definition at line 231 of file ReplaceNonConstFCWithBatchMatMulPass.cpp.

                                        -
                                        232{
                                        -
                                        233 bool changed = false;
                                        -
                                        234 for (auto node : loco::active_nodes(loco::output_nodes(g)))
                                        -
                                        235 {
                                        -
                                        236 if (auto fc = dynamic_cast<luci::CircleFullyConnected *>(node))
                                        -
                                        237 {
                                        -
                                        238 if (replace_fc_with_matmul(fc))
                                        -
                                        239 changed = true;
                                        -
                                        240 }
                                        -
                                        241 }
                                        -
                                        242
                                        -
                                        243 return changed;
                                        -
                                        244}
                                        +

                                        Definition at line 230 of file ReplaceNonConstFCWithBatchMatMulPass.cpp.

                                        +
                                        231{
                                        +
                                        232 bool changed = false;
                                        +
                                        233 for (auto node : loco::active_nodes(loco::output_nodes(g)))
                                        +
                                        234 {
                                        +
                                        235 if (auto fc = dynamic_cast<luci::CircleFullyConnected *>(node))
                                        +
                                        236 {
                                        +
                                        237 if (replace_fc_with_matmul(fc))
                                        +
                                        238 changed = true;
                                        +
                                        239 }
                                        +
                                        240 }
                                        +
                                        241
                                        +
                                        242 return changed;
                                        +
                                        243}
                                        FULLY_CONNECTED in Circle.
                                        diff --git a/structluci_1_1_resolve_custom_op_add_pass.html b/structluci_1_1_resolve_custom_op_add_pass.html index 4d04a5f6b28..29fcdeddccc 100644 --- a/structluci_1_1_resolve_custom_op_add_pass.html +++ b/structluci_1_1_resolve_custom_op_add_pass.html @@ -186,22 +186,22 @@

                                        logo::Pass.

                                        -

                                        Definition at line 169 of file ResolveCustomOpAddPass.cpp.

                                        -
                                        170{
                                        -
                                        171 bool changed = false;
                                        -
                                        172
                                        -
                                        173 for (auto node : loco::active_nodes(loco::output_nodes(g)))
                                        -
                                        174 {
                                        -
                                        175 auto cop = dynamic_cast<luci::CircleCustom *>(node);
                                        -
                                        176 if (not cop)
                                        -
                                        177 continue;
                                        -
                                        178
                                        -
                                        179 if (resolve_custom_op(cop))
                                        -
                                        180 changed = true;
                                        -
                                        181 }
                                        -
                                        182
                                        -
                                        183 return changed;
                                        -
                                        184}
                                        +

                                        Definition at line 171 of file ResolveCustomOpAddPass.cpp.

                                        +
                                        172{
                                        +
                                        173 bool changed = false;
                                        +
                                        174
                                        +
                                        175 for (auto node : loco::active_nodes(loco::output_nodes(g)))
                                        +
                                        176 {
                                        +
                                        177 auto cop = dynamic_cast<luci::CircleCustom *>(node);
                                        +
                                        178 if (not cop)
                                        +
                                        179 continue;
                                        +
                                        180
                                        +
                                        181 if (resolve_custom_op(cop))
                                        +
                                        182 changed = true;
                                        +
                                        183 }
                                        +
                                        184
                                        +
                                        185 return changed;
                                        +
                                        186}
                                        CUSTOM in Circle.
                                        diff --git a/structluci_1_1_user_settings.html b/structluci_1_1_user_settings.html index f3e0bb1fc46..8764c366ad5 100644 --- a/structluci_1_1_user_settings.html +++ b/structluci_1_1_user_settings.html @@ -263,7 +263,7 @@

                                        86 return &_this;

                                        87}
                                        -

                                        Referenced by luci::createCircleMetadataVector(), entry(), entry(), luci::LoggerConfig::LoggerConfig(), circle_planner::ExecutionPlanner::make_execution_plan(), luci::CircleCastGraphBuilder::validate(), luci::CircleGreaterGraphBuilder::validate(), and luci::CircleUnpackGraphBuilder::validate().

                                        +

                                        Referenced by luci::createCircleMetadataVector(), entry(), entry(), luci::LoggerConfig::LoggerConfig(), circle_planner::ExecutionPlanner::make_execution_plan(), luci::CircleCastGraphBuilder::validate(), luci::CircleGreaterGraphBuilder::validate(), and luci::CircleUnpackGraphBuilder::validate().

                                        diff --git a/structluci__interpreter_1_1_leaky_relu_params.html b/structluci__interpreter_1_1_leaky_relu_params.html index 231e376b07f..98dcbc8462a 100644 --- a/structluci__interpreter_1_1_leaky_relu_params.html +++ b/structluci__interpreter_1_1_leaky_relu_params.html @@ -120,7 +120,7 @@

                                        Definition at line 125 of file KernelParams.h.

                                        -

                                        Referenced by luci_interpreter::build_kernel_CircleLeakyRelu(), and luci_interpreter::kernels::LeakyRelu::configure().

                                        +

                                        Referenced by luci_interpreter::build_kernel_CircleLeakyRelu(), and luci_interpreter::kernels::LeakyRelu::configure().

                                        diff --git a/structminmax__embedder__test_1_1_model_spec.html b/structminmax__embedder__test_1_1_model_spec.html index a85e043605e..664822e3585 100644 --- a/structminmax__embedder__test_1_1_model_spec.html +++ b/structminmax__embedder__test_1_1_model_spec.html @@ -123,7 +123,7 @@

                                        Definition at line 27 of file ModelSpec.h.

                                        -

                                        Referenced by minmax_embedder_test::H5Writer::dump(), and entry().

                                        +

                                        Referenced by minmax_embedder_test::H5Writer::dump(), and entry().

                                        diff --git a/structmir__interpreter_1_1_leaky_re_l_u_impl.html b/structmir__interpreter_1_1_leaky_re_l_u_impl.html index bce416a5f9b..bcec977719b 100644 --- a/structmir__interpreter_1_1_leaky_re_l_u_impl.html +++ b/structmir__interpreter_1_1_leaky_re_l_u_impl.html @@ -103,7 +103,7 @@

                                        Detailed Description

                                        template<typename T>
                                        struct mir_interpreter::LeakyReLUImpl< T >
                                        -

                                        Definition at line 26 of file LeakyReLU.cpp.

                                        +

                                        Definition at line 26 of file LeakyReLU.cpp.

                                        Member Function Documentation

                                        ◆ run()

                                        @@ -147,7 +147,7 @@

                                        -

                                        Definition at line 32 of file LeakyReLU.cpp.

                                        +

                                        Definition at line 32 of file LeakyReLU.cpp.

                                        33{
                                        34 mir::Tensor<T> arg_accessor(arg);
                                        35 mir::Tensor<T> res_accessor(result);
                                        @@ -169,7 +169,7 @@

                                        LeakyReLU.cpp +
                                      • compiler/mir-interpreter/src/ops/LeakyReLU.cpp
                                      • diff --git a/structmoco_1_1_logging_context.html b/structmoco_1_1_logging_context.html index 52bfcb52f5a..b39b27d388a 100644 --- a/structmoco_1_1_logging_context.html +++ b/structmoco_1_1_logging_context.html @@ -154,7 +154,7 @@

                                        References hermes::Sink::Registry::append(), hermes::Context::config(), and hermes::Context::sinks().

                                        -

                                        Referenced by main().

                                        +

                                        Referenced by main().

                                        diff --git a/structmoco_1_1_model_signature.html b/structmoco_1_1_model_signature.html index 9d8cd359e69..4f2c8ed28d2 100644 --- a/structmoco_1_1_model_signature.html +++ b/structmoco_1_1_model_signature.html @@ -220,7 +220,7 @@

                                        Definition at line 38 of file ModelSignature.h.

                                        38{ _inputs.push_back(input); }
                                        -

                                        Referenced by nnkit::support::moco::tf::Backend::Backend(), and main().

                                        +

                                        Referenced by nnkit::support::moco::tf::Backend::Backend(), and main().

                                        @@ -280,7 +280,7 @@

                                        Definition at line 40 of file ModelSignature.h.

                                        40{ _outputs.push_back(output); }
                                        -

                                        Referenced by nnkit::support::moco::tf::Backend::Backend(), and main().

                                        +

                                        Referenced by nnkit::support::moco::tf::Backend::Backend(), and main().

                                        @@ -510,7 +510,7 @@

                                        References shape().

                                        -

                                        Referenced by RandomDataGenerator.RandomDataGenerator::_gen_float32(), RandomDataGenerator.RandomDataGenerator::_gen_int16(), RandomDataGenerator.RandomDataGenerator::_gen_uint8(), nnkit::support::moco::tf::Backend::Backend(), moco::tf::COpCallGraphBuilder::build(), main(), and shape().

                                        +

                                        Referenced by RandomDataGenerator.RandomDataGenerator::_gen_float32(), RandomDataGenerator.RandomDataGenerator::_gen_int16(), RandomDataGenerator.RandomDataGenerator::_gen_uint8(), nnkit::support::moco::tf::Backend::Backend(), moco::tf::COpCallGraphBuilder::build(), main(), and shape().

                                        diff --git a/structmoco_1_1_t_f_shape_inference_rule.html b/structmoco_1_1_t_f_shape_inference_rule.html index 5d9366f7a4b..41fef0eb711 100644 --- a/structmoco_1_1_t_f_shape_inference_rule.html +++ b/structmoco_1_1_t_f_shape_inference_rule.html @@ -248,7 +248,7 @@

                                        859 ::compat::Context ctx;
                                        860 ::compat::Sink sink;
                                        861
                                        -
                                        862 infer(&ctx, node, &sink);
                                        +
                                        862 infer(&ctx, node, &sink);
                                        863
                                        864 assert(sink.status() == ::compat::Sink::Okay or sink.status() == ::compat::Sink::Fail);
                                        865
                                        @@ -261,9 +261,9 @@

                                        872
                                        873 return true;
                                        874}
                                        -
                                        std::vector< float > infer()
                                        Definition main.cpp:25
                                        +
                                        std::vector< float > infer()
                                        Definition main.cpp:25
                                        -

                                        References infer().

                                        +

                                        References infer().

                                        diff --git a/structmoco_1_1_tensor_name.html b/structmoco_1_1_tensor_name.html index 3379e918d0c..af4d55475ca 100644 --- a/structmoco_1_1_tensor_name.html +++ b/structmoco_1_1_tensor_name.html @@ -233,7 +233,7 @@

                                        Definition at line 60 of file Names.h.

                                        60{ return _name; }
                                        -

                                        Referenced by main(), and moco::TensorNameCompare::operator()().

                                        +

                                        Referenced by main(), and moco::TensorNameCompare::operator()().

                                        diff --git a/structnnfw_1_1cker_1_1_depthwise_conv_params.html b/structnnfw_1_1cker_1_1_depthwise_conv_params.html index 4be9680cc0c..5c3c86473a6 100644 --- a/structnnfw_1_1cker_1_1_depthwise_conv_params.html +++ b/structnnfw_1_1cker_1_1_depthwise_conv_params.html @@ -162,7 +162,7 @@

                                        Definition at line 231 of file Types.h.

                                        -

                                        Referenced by nnfw::cker::train::DepthwiseConv::backpropFilter(), nnfw::cker::train::DepthwiseConv::backpropInput(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convFloat32(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8i(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8iHybridPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerTensor(), nnfw::cker::optimized_integer_ops::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::reference_integer_ops::DepthwiseConvHybridPerChannel(), nnfw::cker::optimized::DepthwiseConvImpl(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), nnfw::cker::optimized_integer_ops::DepthwiseConvWithRounding(), and nnfw::cker::optimized::DepthwiseConvWithRounding().

                                        +

                                        Referenced by nnfw::cker::train::DepthwiseConv::backpropFilter(), nnfw::cker::train::DepthwiseConv::backpropInput(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convFloat32(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8i(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8iHybridPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerTensor(), nnfw::cker::optimized_integer_ops::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::reference_integer_ops::DepthwiseConvHybridPerChannel(), nnfw::cker::optimized::DepthwiseConvImpl(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), nnfw::cker::optimized_integer_ops::DepthwiseConvWithRounding(), and nnfw::cker::optimized::DepthwiseConvWithRounding().

                                        @@ -180,7 +180,7 @@

                                        Definition at line 230 of file Types.h.

                                        -

                                        Referenced by onert::backend::cpu::ops::DepthwiseConvolutionLayer::convFloat32(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8i(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8iHybridPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerTensor(), nnfw::cker::optimized_integer_ops::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::reference_integer_ops::DepthwiseConvHybridPerChannel(), nnfw::cker::optimized::DepthwiseConvImpl(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), nnfw::cker::optimized_integer_ops::DepthwiseConvWithRounding(), and nnfw::cker::optimized::DepthwiseConvWithRounding().

                                        +

                                        Referenced by onert::backend::cpu::ops::DepthwiseConvolutionLayer::convFloat32(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8i(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8iHybridPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerTensor(), nnfw::cker::optimized_integer_ops::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::reference_integer_ops::DepthwiseConvHybridPerChannel(), nnfw::cker::optimized::DepthwiseConvImpl(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), nnfw::cker::optimized_integer_ops::DepthwiseConvWithRounding(), and nnfw::cker::optimized::DepthwiseConvWithRounding().

                                        @@ -198,7 +198,7 @@

                                        Definition at line 229 of file Types.h.

                                        -

                                        Referenced by onert::backend::cpu::ops::DepthwiseConvolutionLayer::convFloat32(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8i(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8iHybridPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerTensor(), nnfw::cker::optimized_integer_ops::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::reference_integer_ops::DepthwiseConvHybridPerChannel(), nnfw::cker::optimized::DepthwiseConvImpl(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), nnfw::cker::optimized_integer_ops::DepthwiseConvWithRounding(), and nnfw::cker::optimized::DepthwiseConvWithRounding().

                                        +

                                        Referenced by onert::backend::cpu::ops::DepthwiseConvolutionLayer::convFloat32(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8i(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8iHybridPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerTensor(), nnfw::cker::optimized_integer_ops::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::reference_integer_ops::DepthwiseConvHybridPerChannel(), nnfw::cker::optimized::DepthwiseConvImpl(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), nnfw::cker::optimized_integer_ops::DepthwiseConvWithRounding(), and nnfw::cker::optimized::DepthwiseConvWithRounding().

                                        @@ -252,7 +252,7 @@

                                        Definition at line 234 of file Types.h.

                                        -

                                        Referenced by onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8i(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerTensor(), nnfw::cker::optimized_integer_ops::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), and nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel().

                                        +

                                        Referenced by onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8i(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerTensor(), nnfw::cker::optimized_integer_ops::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), and nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel().

                                        @@ -270,7 +270,7 @@

                                        Definition at line 237 of file Types.h.

                                        -

                                        Referenced by onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerTensor(), and nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral().

                                        +

                                        Referenced by onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerTensor(), and nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral().

                                        @@ -288,7 +288,7 @@

                                        Definition at line 236 of file Types.h.

                                        -

                                        Referenced by onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8i(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerTensor(), nnfw::cker::optimized_integer_ops::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), and nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel().

                                        +

                                        Referenced by onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8i(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerTensor(), nnfw::cker::optimized_integer_ops::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), and nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel().

                                        @@ -306,7 +306,7 @@

                                        Definition at line 238 of file Types.h.

                                        -

                                        Referenced by onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerTensor(), and nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral().

                                        +

                                        Referenced by onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerTensor(), and nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral().

                                        @@ -342,7 +342,7 @@

                                        Definition at line 226 of file Types.h.

                                        -

                                        Referenced by nnfw::cker::train::DepthwiseConv::backpropFilter(), nnfw::cker::train::DepthwiseConv::backpropInput(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convFloat32(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8i(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8iHybridPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerTensor(), nnfw::cker::optimized_integer_ops::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::reference_integer_ops::DepthwiseConvHybridPerChannel(), nnfw::cker::optimized::DepthwiseConvImpl(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), and nnfw::cker::optimized_integer_ops::DepthwiseConvWithRounding().

                                        +

                                        Referenced by nnfw::cker::train::DepthwiseConv::backpropFilter(), nnfw::cker::train::DepthwiseConv::backpropInput(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convFloat32(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8i(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8iHybridPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerTensor(), nnfw::cker::optimized_integer_ops::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::reference_integer_ops::DepthwiseConvHybridPerChannel(), nnfw::cker::optimized::DepthwiseConvImpl(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), and nnfw::cker::optimized_integer_ops::DepthwiseConvWithRounding().

                                        @@ -360,7 +360,7 @@

                                        Definition at line 241 of file Types.h.

                                        -

                                        Referenced by onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8i(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerTensor(), nnfw::cker::optimized_integer_ops::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), and nnfw::cker::optimized::DepthwiseConvWithRounding().

                                        +

                                        Referenced by onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8i(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerTensor(), nnfw::cker::optimized_integer_ops::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), and nnfw::cker::optimized::DepthwiseConvWithRounding().

                                        @@ -378,7 +378,7 @@

                                        Definition at line 240 of file Types.h.

                                        -

                                        Referenced by onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8i(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerTensor(), nnfw::cker::optimized_integer_ops::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), and nnfw::cker::optimized::DepthwiseConvWithRounding().

                                        +

                                        Referenced by onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8i(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerTensor(), nnfw::cker::optimized_integer_ops::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), and nnfw::cker::optimized::DepthwiseConvWithRounding().

                                        @@ -396,7 +396,7 @@

                                        Definition at line 228 of file Types.h.

                                        -

                                        Referenced by nnfw::cker::train::DepthwiseConv::backpropFilter(), nnfw::cker::train::DepthwiseConv::backpropInput(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convFloat32(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8i(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8iHybridPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerTensor(), nnfw::cker::optimized_integer_ops::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::reference_integer_ops::DepthwiseConvHybridPerChannel(), nnfw::cker::optimized::DepthwiseConvImpl(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), and nnfw::cker::optimized_integer_ops::DepthwiseConvWithRounding().

                                        +

                                        Referenced by nnfw::cker::train::DepthwiseConv::backpropFilter(), nnfw::cker::train::DepthwiseConv::backpropInput(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convFloat32(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8i(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8iHybridPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerTensor(), nnfw::cker::optimized_integer_ops::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::reference_integer_ops::DepthwiseConvHybridPerChannel(), nnfw::cker::optimized::DepthwiseConvImpl(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), and nnfw::cker::optimized_integer_ops::DepthwiseConvWithRounding().

                                        @@ -414,7 +414,7 @@

                                        Definition at line 227 of file Types.h.

                                        -

                                        Referenced by nnfw::cker::train::DepthwiseConv::backpropFilter(), nnfw::cker::train::DepthwiseConv::backpropInput(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convFloat32(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8i(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8iHybridPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerTensor(), nnfw::cker::optimized_integer_ops::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::reference_integer_ops::DepthwiseConvHybridPerChannel(), nnfw::cker::optimized::DepthwiseConvImpl(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), and nnfw::cker::optimized_integer_ops::DepthwiseConvWithRounding().

                                        +

                                        Referenced by nnfw::cker::train::DepthwiseConv::backpropFilter(), nnfw::cker::train::DepthwiseConv::backpropInput(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convFloat32(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8i(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8iHybridPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerTensor(), nnfw::cker::optimized_integer_ops::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::reference_integer_ops::DepthwiseConvHybridPerChannel(), nnfw::cker::optimized::DepthwiseConvImpl(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), and nnfw::cker::optimized_integer_ops::DepthwiseConvWithRounding().

                                        @@ -432,7 +432,7 @@

                                        Definition at line 235 of file Types.h.

                                        -

                                        Referenced by onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8i(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerTensor(), and nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral().

                                        +

                                        Referenced by onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8i(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerTensor(), and nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral().

                                        diff --git a/structnnfw_1_1cker_1_1_padding_values.html b/structnnfw_1_1cker_1_1_padding_values.html index 64acc1cfe44..50e78c644b2 100644 --- a/structnnfw_1_1cker_1_1_padding_values.html +++ b/structnnfw_1_1cker_1_1_padding_values.html @@ -122,7 +122,7 @@

                                        Definition at line 69 of file Types.h.

                                        -

                                        Referenced by nnfw::cker::AveragePool16(), nnfw::cker::AveragePool32(), nnfw::cker::AveragePool< float >(), nnfw::cker::AveragePool< int8_t >(), nnfw::cker::train::DepthwiseConv::backpropFilter(), nnfw::cker::train::DepthwiseConv::backpropInput(), nnfw::cker::reference::Conv(), nnfw::cker::multithreaded::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::train::ConvFilterGrad(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convFloat32(), nnfw::cker::train::ConvInputGrad(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8i(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8iHybridPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerTensor(), nnfw::cker::optimized_integer_ops::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::reference_integer_ops::DepthwiseConvHybridPerChannel(), nnfw::cker::optimized::DepthwiseConvImpl(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), nnfw::cker::optimized_integer_ops::DepthwiseConvWithRounding(), nnfw::cker::optimized::DilatedIm2col(), nnfw::cker::reference::HybridConvPerChannel(), nnfw::cker::optimized::Im2col(), nnfw::cker::train::MaxPool2D(), nnfw::cker::MaxPool< float >(), nnfw::cker::MaxPool< uint8_t >(), and nnfw::cker::TransposeConv().

                                        +

                                        Referenced by nnfw::cker::AveragePool16(), nnfw::cker::AveragePool32(), nnfw::cker::AveragePool< float >(), nnfw::cker::AveragePool< int8_t >(), nnfw::cker::train::DepthwiseConv::backpropFilter(), nnfw::cker::train::DepthwiseConv::backpropInput(), nnfw::cker::reference::Conv(), nnfw::cker::multithreaded::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::train::ConvFilterGrad(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convFloat32(), nnfw::cker::train::ConvInputGrad(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8i(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8iHybridPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerTensor(), nnfw::cker::optimized_integer_ops::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::reference_integer_ops::DepthwiseConvHybridPerChannel(), nnfw::cker::optimized::DepthwiseConvImpl(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), nnfw::cker::optimized_integer_ops::DepthwiseConvWithRounding(), nnfw::cker::optimized::DilatedIm2col(), nnfw::cker::reference::HybridConvPerChannel(), nnfw::cker::optimized::Im2col(), nnfw::cker::train::MaxPool2D(), nnfw::cker::MaxPool< float >(), nnfw::cker::MaxPool< uint8_t >(), and nnfw::cker::TransposeConv().

                                        @@ -140,7 +140,7 @@

                                        Definition at line 68 of file Types.h.

                                        -

                                        Referenced by nnfw::cker::AveragePool16(), nnfw::cker::AveragePool32(), nnfw::cker::AveragePool< float >(), nnfw::cker::AveragePool< int8_t >(), nnfw::cker::train::DepthwiseConv::backpropFilter(), nnfw::cker::train::DepthwiseConv::backpropInput(), nnfw::cker::reference::Conv(), nnfw::cker::multithreaded::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::train::ConvFilterGrad(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convFloat32(), nnfw::cker::train::ConvInputGrad(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8i(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8iHybridPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerTensor(), nnfw::cker::optimized_integer_ops::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::reference_integer_ops::DepthwiseConvHybridPerChannel(), nnfw::cker::optimized::DepthwiseConvImpl(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), nnfw::cker::optimized_integer_ops::DepthwiseConvWithRounding(), nnfw::cker::optimized::DilatedIm2col(), nnfw::cker::reference::HybridConvPerChannel(), nnfw::cker::optimized::Im2col(), nnfw::cker::train::MaxPool2D(), nnfw::cker::MaxPool< float >(), nnfw::cker::MaxPool< uint8_t >(), and nnfw::cker::TransposeConv().

                                        +

                                        Referenced by nnfw::cker::AveragePool16(), nnfw::cker::AveragePool32(), nnfw::cker::AveragePool< float >(), nnfw::cker::AveragePool< int8_t >(), nnfw::cker::train::DepthwiseConv::backpropFilter(), nnfw::cker::train::DepthwiseConv::backpropInput(), nnfw::cker::reference::Conv(), nnfw::cker::multithreaded::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::train::ConvFilterGrad(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convFloat32(), nnfw::cker::train::ConvInputGrad(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8i(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8iHybridPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerTensor(), nnfw::cker::optimized_integer_ops::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::reference_integer_ops::DepthwiseConvHybridPerChannel(), nnfw::cker::optimized::DepthwiseConvImpl(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), nnfw::cker::optimized_integer_ops::DepthwiseConvWithRounding(), nnfw::cker::optimized::DilatedIm2col(), nnfw::cker::reference::HybridConvPerChannel(), nnfw::cker::optimized::Im2col(), nnfw::cker::train::MaxPool2D(), nnfw::cker::MaxPool< float >(), nnfw::cker::MaxPool< uint8_t >(), and nnfw::cker::TransposeConv().

                                        diff --git a/structnnfw_1_1cker_1_1optimized_1_1depthwise__conv_1_1_quantized_depthwise_conv_kernel.html b/structnnfw_1_1cker_1_1optimized_1_1depthwise__conv_1_1_quantized_depthwise_conv_kernel.html index 39fd048d220..f7dc3b964af 100644 --- a/structnnfw_1_1cker_1_1optimized_1_1depthwise__conv_1_1_quantized_depthwise_conv_kernel.html +++ b/structnnfw_1_1cker_1_1optimized_1_1depthwise__conv_1_1_quantized_depthwise_conv_kernel.html @@ -93,13 +93,13 @@
                                        -

                                        #include <DepthwiseConvUint8.h>

                                        +

                                        #include <DepthwiseConvUint8.h>

                                        Detailed Description

                                        template<bool kAllowStrided, int kFixedInputDepth, int kFixedDepthMultiplier>
                                        struct nnfw::cker::optimized::depthwise_conv::QuantizedDepthwiseConvKernel< kAllowStrided, kFixedInputDepth, kFixedDepthMultiplier >
                                        -

                                        Definition at line 41 of file DepthwiseConvUint8.h.

                                        +

                                        Definition at line 41 of file DepthwiseConvUint8.h.


                                        The documentation for this struct was generated from the following file:
                                        diff --git a/structnnfw__session.html b/structnnfw__session.html index f671cb0580d..8f4a112a153 100644 --- a/structnnfw__session.html +++ b/structnnfw__session.html @@ -187,6 +187,10 @@

                                        + + + +

                                        Data Fields

                                         
                                        NNFW_STATUS quantize ()
                                         
                                        NNFW_STATUS set_codegen_model_path (const char *path)
                                         
                                        NNFW_STATUS codegen (const char *target, NNFW_CODEGEN_PREF pref)
                                         
                                        @@ -196,7 +200,7 @@

                                        Static Public Member Functions

                                        Detailed Description

                                        -

                                        Definition at line 61 of file nnfw_api_internal.h.

                                        +

                                        Definition at line 62 of file nnfw_api_internal.h.

                                        Constructor & Destructor Documentation

                                        ◆ ~nnfw_session()

                                        @@ -250,48 +254,48 @@

                                        -

                                        Definition at line 720 of file nnfw_api_internal.cc.

                                        -
                                        721{
                                        -
                                        722 // sanity check
                                        -
                                        723 {
                                        -
                                        724 if (isStateInitialized())
                                        -
                                        725 {
                                        -
                                        726 std::cerr << "Error during set_input_tensorinfo : should be run after load_model"
                                        -
                                        727 << std::endl;
                                        - -
                                        729 }
                                        -
                                        730
                                        -
                                        731 if (ti.rank <= 0 || ti.rank > NNFW_MAX_RANK)
                                        -
                                        732 {
                                        -
                                        733 std::cerr << "unsupported rank: " << ti.rank << std::endl;
                                        -
                                        734 return NNFW_STATUS_ERROR;
                                        -
                                        735 }
                                        -
                                        736
                                        -
                                        737 for (int32_t i = 0; i < ti.rank; ++i)
                                        -
                                        738 {
                                        -
                                        739 if (ti.dims[i] <= 0)
                                        -
                                        740 {
                                        -
                                        741 std::cerr << "dim must be positive integer but was " << ti.dims[i] << std::endl;
                                        -
                                        742 return NNFW_STATUS_ERROR;
                                        -
                                        743 }
                                        +

                                        Definition at line 735 of file nnfw_api_internal.cc.

                                        +
                                        736{
                                        +
                                        737 // sanity check
                                        +
                                        738 {
                                        +
                                        739 if (isStateInitialized())
                                        +
                                        740 {
                                        +
                                        741 std::cerr << "Error during set_input_tensorinfo : should be run after load_model"
                                        +
                                        742 << std::endl;
                                        +
                                        744 }
                                        -
                                        745 }
                                        -
                                        746
                                        -
                                        747 onert::ir::Shape new_shape(ti.rank);
                                        -
                                        748 for (int32_t i = 0; i < ti.rank; i++)
                                        -
                                        749 new_shape.dim(i) = ti.dims[i];
                                        -
                                        750
                                        -
                                        751 if (!isStatePreparedOrFinishedRun())
                                        -
                                        752 {
                                        -
                                        753
                                        -
                                        754 // In this case, if we apply input shape, it will propagate after compilation and excution
                                        -
                                        755 _nnpkg->changeInputShape(index, new_shape);
                                        -
                                        756 }
                                        -
                                        757 else // when called after nnfw_session::prepare()
                                        -
                                        758 _execution->changeInputShape(onert::ir::IOIndex(index), new_shape);
                                        -
                                        759
                                        - -
                                        761}
                                        +
                                        745
                                        +
                                        746 if (ti.rank <= 0 || ti.rank > NNFW_MAX_RANK)
                                        +
                                        747 {
                                        +
                                        748 std::cerr << "unsupported rank: " << ti.rank << std::endl;
                                        +
                                        749 return NNFW_STATUS_ERROR;
                                        +
                                        750 }
                                        +
                                        751
                                        +
                                        752 for (int32_t i = 0; i < ti.rank; ++i)
                                        +
                                        753 {
                                        +
                                        754 if (ti.dims[i] <= 0)
                                        +
                                        755 {
                                        +
                                        756 std::cerr << "dim must be positive integer but was " << ti.dims[i] << std::endl;
                                        +
                                        757 return NNFW_STATUS_ERROR;
                                        +
                                        758 }
                                        +
                                        759 }
                                        +
                                        760 }
                                        +
                                        761
                                        +
                                        762 onert::ir::Shape new_shape(ti.rank);
                                        +
                                        763 for (int32_t i = 0; i < ti.rank; i++)
                                        +
                                        764 new_shape.dim(i) = ti.dims[i];
                                        +
                                        765
                                        +
                                        766 if (!isStatePreparedOrFinishedRun())
                                        +
                                        767 {
                                        +
                                        768
                                        +
                                        769 // In this case, if we apply input shape, it will propagate after compilation and excution
                                        +
                                        770 _nnpkg->changeInputShape(index, new_shape);
                                        +
                                        771 }
                                        +
                                        772 else // when called after nnfw_session::prepare()
                                        +
                                        773 _execution->changeInputShape(onert::ir::IOIndex(index), new_shape);
                                        +
                                        774
                                        + +
                                        776}
                                        A wrapper class for unsigned integral Index NOTE : Max value of the underlying type is used as the in...
                                        Definition Index.h:39
                                        @ NNFW_STATUS_INVALID_STATE
                                        Definition nnfw.h:121
                                        @@ -303,7 +307,7 @@

                                        References nnfw_tensorinfo::dims, NNFW_MAX_RANK, NNFW_STATUS_ERROR, NNFW_STATUS_INVALID_STATE, NNFW_STATUS_NO_ERROR, and nnfw_tensorinfo::rank.

                                        -

                                        Referenced by set_input_tensorinfo().

                                        +

                                        Referenced by set_input_tensorinfo().

                                        @@ -322,23 +326,150 @@

                                        -

                                        Definition at line 546 of file nnfw_api_internal.cc.

                                        -
                                        547{
                                        -
                                        548 if (!isStateRunning())
                                        -
                                        549 {
                                        -
                                        550 std::cerr << "Error during nnfw_session::run_await : "
                                        -
                                        551 << "run_await should be run after run_async" << std::endl;
                                        -
                                        552 return NNFW_STATUS_ERROR;
                                        -
                                        553 }
                                        -
                                        554
                                        -
                                        555 _execution->waitFinish();
                                        -
                                        556
                                        -
                                        557 _state = State::FINISHED_RUN;
                                        - -
                                        559}
                                        +

                                        Definition at line 561 of file nnfw_api_internal.cc.

                                        +
                                        562{
                                        +
                                        563 if (!isStateRunning())
                                        +
                                        564 {
                                        +
                                        565 std::cerr << "Error during nnfw_session::run_await : "
                                        +
                                        566 << "run_await should be run after run_async" << std::endl;
                                        +
                                        567 return NNFW_STATUS_ERROR;
                                        +
                                        568 }
                                        +
                                        569
                                        +
                                        570 _execution->waitFinish();
                                        +
                                        571
                                        +
                                        572 _state = State::FINISHED_RUN;
                                        + +
                                        574}

                                        References NNFW_STATUS_ERROR, and NNFW_STATUS_NO_ERROR.

                                        +
                                        +

                                        + +

                                        ◆ codegen()

                                        + +
                                        +
                                        + + + + + + + + + + + + + + + + + + +
                                        NNFW_STATUS nnfw_session::codegen (const char * target,
                                        NNFW_CODEGEN_PREF pref 
                                        )
                                        +
                                        + +

                                        Definition at line 1874 of file nnfw_api_internal.cc.

                                        +
                                        1875{
                                        +
                                        1876 try
                                        +
                                        1877 {
                                        +
                                        1878 if (!isStateModelLoaded())
                                        +
                                        1879 {
                                        +
                                        1880 std::cerr << "Error during nnfw_session::codegen : Invalid state" << std::endl;
                                        + +
                                        1882 }
                                        +
                                        1883
                                        +
                                        1884 std::string target_str{target};
                                        +
                                        1885 if (target_str.empty() || target_str.substr(target_str.size() - 4) != "-gen")
                                        +
                                        1886 {
                                        +
                                        1887 std::cerr << "Error during nnfw_session::codegen : Invalid target" << std::endl;
                                        +
                                        1888 return NNFW_STATUS_ERROR;
                                        +
                                        1889 }
                                        +
                                        1890
                                        +
                                        1891 onert::odc::CodegenPreference codegen_pref;
                                        +
                                        1892 switch (pref)
                                        +
                                        1893 {
                                        + + +
                                        1896 break;
                                        + + +
                                        1899 break;
                                        + + +
                                        1902 break;
                                        + + +
                                        1905 break;
                                        +
                                        1906 default:
                                        +
                                        1907 std::cerr << "Error during nnfw_session::codegen : Invalid preference" << std::endl;
                                        +
                                        1908 return NNFW_STATUS_ERROR;
                                        +
                                        1909 }
                                        +
                                        1910
                                        +
                                        1911 assert(_codegen_manager != nullptr);
                                        +
                                        1912 auto export_model_path = _codegen_manager->exportModelPath();
                                        +
                                        1913 // If the export_model_path is not set, it generates a compiled model path
                                        +
                                        1914 // automatically.
                                        +
                                        1915 if (export_model_path.empty())
                                        +
                                        1916 {
                                        +
                                        1917 // model path always has a dot. (valid extension)
                                        +
                                        1918 auto dotidx = _model_path.rfind('.');
                                        +
                                        1919 assert(dotidx != std::string::npos);
                                        +
                                        1920 auto genidx = target_str.rfind("-gen");
                                        +
                                        1921 assert(genidx != std::string::npos);
                                        +
                                        1922 // The compiled model path is the same directory of the original model/package with
                                        +
                                        1923 // target backend extension.
                                        +
                                        1924 export_model_path = _model_path.substr(0, dotidx + 1) + target_str.substr(0, genidx);
                                        +
                                        1925 _codegen_manager->exportModelPath(export_model_path);
                                        +
                                        1926 }
                                        +
                                        1927
                                        +
                                        1928 _codegen_manager->codegen(target, codegen_pref);
                                        +
                                        1929
                                        +
                                        1930 // Replace model
                                        +
                                        1931 // TODO Support buffer replace, not file reload
                                        +
                                        1932 // TODO: Use std::filesystem::path when we can use c++17.
                                        +
                                        1933 auto dotidx = export_model_path.rfind('.');
                                        +
                                        1934 if (dotidx == std::string::npos)
                                        +
                                        1935 {
                                        +
                                        1936 std::cerr << "Error during nnfw_session::codegen : Invalid compiled model path. Please use a "
                                        +
                                        1937 "path that includes the extension."
                                        +
                                        1938 << std::endl;
                                        +
                                        1939 return NNFW_STATUS_ERROR;
                                        +
                                        1940 }
                                        +
                                        1941
                                        +
                                        1942 std::string model_type = export_model_path.substr(dotidx + 1); // + 1 to exclude dot
                                        +
                                        1943 auto model = loadModel(export_model_path, model_type);
                                        +
                                        1944 if (model == nullptr)
                                        +
                                        1945 return NNFW_STATUS_ERROR;
                                        +
                                        1946
                                        +
                                        1947 // TODO: Update _model_path if necessary
                                        +
                                        1948 _nnpkg->replaceModel(std::move(model));
                                        +
                                        1949 }
                                        +
                                        1950 catch (const std::exception &e)
                                        +
                                        1951 {
                                        +
                                        1952 std::cerr << "Error during nnfw_session::compile : " << e.what() << std::endl;
                                        +
                                        1953 return NNFW_STATUS_ERROR;
                                        +
                                        1954 }
                                        +
                                        1955
                                        +
                                        1956 return NNFW_STATUS_NO_ERROR;
                                        +
                                        1957}
                                        + +
                                        std::unique_ptr< mir::Graph > loadModel(std::string predict_net, std::string init_net, const std::vector< std::vector< int > > &input_shapes)
                                        +
                                        Option< std::string > target(optname("--target"), overview("select target language to emit for given architecture." "Valid values are '" NNC_TARGET_ARM_CPP "', '" NNC_TARGET_X86_CPP "', '" NNC_TARGET_ARM_GPU_CPP "', '" NNC_TARGET_INTERPRETER "'"), std::string(), optional(false), optvalues(NNC_TARGET_ARM_CPP "," NNC_TARGET_X86_CPP "," NNC_TARGET_ARM_GPU_CPP "," NNC_TARGET_INTERPRETER), nullptr, separators("="))
                                        Definition Options.h:47
                                        + + + + + +
                                        @ NNFW_CODEGEN_PREF_DEFAULT
                                        +
                                        @ NNFW_CODEGEN_PREF_MEMORY_FIRST
                                        +
                                        @ NNFW_CODEGEN_PREF_COMPILE_TIME_FIRST
                                        +
                                        @ NNFW_CODEGEN_PREF_PERFORMANCE_FIRST
                                        +
                                        +

                                        References onert::odc::CODEGEN_PREF_COMPILE_TIME_FIRST, onert::odc::CODEGEN_PREF_DEFAULT, onert::odc::CODEGEN_PREF_MEMORY_FIRST, onert::odc::CODEGEN_PREF_PERFORMANCE_FIRST, NNFW_CODEGEN_PREF_COMPILE_TIME_FIRST, NNFW_CODEGEN_PREF_DEFAULT, NNFW_CODEGEN_PREF_MEMORY_FIRST, NNFW_CODEGEN_PREF_PERFORMANCE_FIRST, NNFW_STATUS_ERROR, NNFW_STATUS_INVALID_STATE, and NNFW_STATUS_NO_ERROR.

                                        +
                                        @@ -368,34 +499,34 @@

                                        Note
                                        Use factory instead of constructor to get status
                                        -

                                        Definition at line 248 of file nnfw_api_internal.cc.

                                        -
                                        249{
                                        -
                                        250 if (session == nullptr)
                                        - -
                                        252 try
                                        -
                                        253 {
                                        -
                                        254 auto new_session = std::unique_ptr<nnfw_session>(new nnfw_session());
                                        -
                                        255 new_session->_kernel_registry = std::make_shared<onert::api::CustomKernelRegistry>();
                                        -
                                        256 *session = new_session.release();
                                        -
                                        257 }
                                        -
                                        258 catch (const std::bad_alloc &e)
                                        -
                                        259 {
                                        -
                                        260 std::cerr << "Error during session creation" << std::endl;
                                        -
                                        261 *session = nullptr; // Set nullptr on error to keep the old behavior
                                        - -
                                        263 }
                                        -
                                        264 catch (const std::exception &e)
                                        -
                                        265 {
                                        -
                                        266 std::cerr << "Error during session initialization : " << e.what() << std::endl;
                                        -
                                        267 *session = nullptr; // Set nullptr on error to keep the old behavior
                                        -
                                        268 return NNFW_STATUS_ERROR;
                                        -
                                        269 }
                                        - -
                                        271}
                                        +

                                        Definition at line 259 of file nnfw_api_internal.cc.

                                        +
                                        260{
                                        +
                                        261 if (session == nullptr)
                                        + +
                                        263 try
                                        +
                                        264 {
                                        +
                                        265 auto new_session = std::unique_ptr<nnfw_session>(new nnfw_session());
                                        +
                                        266 new_session->_kernel_registry = std::make_shared<onert::api::CustomKernelRegistry>();
                                        +
                                        267 *session = new_session.release();
                                        +
                                        268 }
                                        +
                                        269 catch (const std::bad_alloc &e)
                                        +
                                        270 {
                                        +
                                        271 std::cerr << "Error during session creation" << std::endl;
                                        +
                                        272 *session = nullptr; // Set nullptr on error to keep the old behavior
                                        + +
                                        274 }
                                        +
                                        275 catch (const std::exception &e)
                                        +
                                        276 {
                                        +
                                        277 std::cerr << "Error during session initialization : " << e.what() << std::endl;
                                        +
                                        278 *session = nullptr; // Set nullptr on error to keep the old behavior
                                        +
                                        279 return NNFW_STATUS_ERROR;
                                        +
                                        280 }
                                        + +
                                        282}
                                        SessionID session(const coco::Module *m)
                                        Definition Session.cpp:48
                                        @ NNFW_STATUS_UNEXPECTED_NULL
                                        Definition nnfw.h:119
                                        @ NNFW_STATUS_OUT_OF_MEMORY
                                        Definition nnfw.h:123
                                        - +

                                        References NNFW_STATUS_ERROR, NNFW_STATUS_NO_ERROR, NNFW_STATUS_OUT_OF_MEMORY, and NNFW_STATUS_UNEXPECTED_NULL.

                                        @@ -435,53 +566,53 @@

                                        -

                                        Definition at line 1037 of file nnfw_api_internal.cc.

                                        -
                                        1038{
                                        -
                                        1039 if (!isStateModelLoaded())
                                        - -
                                        1041
                                        -
                                        1042 if (!key || !value)
                                        - -
                                        1044
                                        -
                                        1045 auto &options = *_coptions[0];
                                        -
                                        1046
                                        -
                                        1047 auto check_boundary = [](size_t dest_size, std::string &src) {
                                        -
                                        1048 if (dest_size < src.length() + 1 /* for '\0' */)
                                        -
                                        1049 {
                                        -
                                        1050 std::cerr << "buffer is small to copy config value." << std::endl;
                                        -
                                        1051 return false;
                                        -
                                        1052 }
                                        -
                                        1053 return true;
                                        -
                                        1054 };
                                        -
                                        1055
                                        -
                                        1056 const std::string skey = key;
                                        -
                                        1057
                                        -
                                        1058 if (skey == onert::util::config::BACKENDS)
                                        -
                                        1059 {
                                        -
                                        1060 if (options.backend_list.size() == 0)
                                        -
                                        1061 return NNFW_STATUS_NO_ERROR; // no setting backend is not an error of get_config_str()
                                        -
                                        1062
                                        -
                                        1063 auto str = nnfw::misc::join(options.backend_list.begin(), options.backend_list.end(), ";");
                                        -
                                        1064
                                        -
                                        1065 if (!check_boundary(value_size, str))
                                        -
                                        1066 return NNFW_STATUS_ERROR;
                                        -
                                        1067
                                        -
                                        1068 strncpy(value, str.c_str(), value_size);
                                        -
                                        1069 }
                                        -
                                        1070 else if (skey == onert::util::config::EXECUTOR)
                                        -
                                        1071 {
                                        -
                                        1072 if (!check_boundary(value_size, options.executor))
                                        -
                                        1073 return NNFW_STATUS_ERROR;
                                        -
                                        1074
                                        -
                                        1075 strncpy(value, options.executor.c_str(), options.executor.length());
                                        -
                                        1076 }
                                        -
                                        1077 else
                                        -
                                        1078 {
                                        -
                                        1079 return NNFW_STATUS_ERROR;
                                        -
                                        1080 }
                                        -
                                        1081
                                        -
                                        1082 return NNFW_STATUS_NO_ERROR;
                                        -
                                        1083}
                                        +

                                        Definition at line 1052 of file nnfw_api_internal.cc.

                                        +
                                        1053{
                                        +
                                        1054 if (!isStateModelLoaded())
                                        + +
                                        1056
                                        +
                                        1057 if (!key || !value)
                                        + +
                                        1059
                                        +
                                        1060 auto &options = *_coptions[0];
                                        +
                                        1061
                                        +
                                        1062 auto check_boundary = [](size_t dest_size, std::string &src) {
                                        +
                                        1063 if (dest_size < src.length() + 1 /* for '\0' */)
                                        +
                                        1064 {
                                        +
                                        1065 std::cerr << "buffer is small to copy config value." << std::endl;
                                        +
                                        1066 return false;
                                        +
                                        1067 }
                                        +
                                        1068 return true;
                                        +
                                        1069 };
                                        +
                                        1070
                                        +
                                        1071 const std::string skey = key;
                                        +
                                        1072
                                        +
                                        1073 if (skey == onert::util::config::BACKENDS)
                                        +
                                        1074 {
                                        +
                                        1075 if (options.backend_list.size() == 0)
                                        +
                                        1076 return NNFW_STATUS_NO_ERROR; // no setting backend is not an error of get_config_str()
                                        +
                                        1077
                                        +
                                        1078 auto str = nnfw::misc::join(options.backend_list.begin(), options.backend_list.end(), ";");
                                        +
                                        1079
                                        +
                                        1080 if (!check_boundary(value_size, str))
                                        +
                                        1081 return NNFW_STATUS_ERROR;
                                        +
                                        1082
                                        +
                                        1083 strncpy(value, str.c_str(), value_size);
                                        +
                                        1084 }
                                        +
                                        1085 else if (skey == onert::util::config::EXECUTOR)
                                        +
                                        1086 {
                                        +
                                        1087 if (!check_boundary(value_size, options.executor))
                                        +
                                        1088 return NNFW_STATUS_ERROR;
                                        +
                                        1089
                                        +
                                        1090 strncpy(value, options.executor.c_str(), options.executor.length());
                                        +
                                        1091 }
                                        +
                                        1092 else
                                        +
                                        1093 {
                                        +
                                        1094 return NNFW_STATUS_ERROR;
                                        +
                                        1095 }
                                        +
                                        1096
                                        +
                                        1097 return NNFW_STATUS_NO_ERROR;
                                        +
                                        1098}
                                        std::string join(InputIt first, InputIt last, const std::string &concat)
                                        @@ -506,27 +637,27 @@

                                        -

                                        Definition at line 619 of file nnfw_api_internal.cc.

                                        -
                                        620{
                                        -
                                        621 if (isStateInitialized()) // Model is not loaded
                                        - -
                                        623
                                        -
                                        624 try
                                        -
                                        625 {
                                        -
                                        626 if (number == nullptr)
                                        -
                                        627 {
                                        -
                                        628 std::cerr << "Error during nnfw_session::input_size, number is null pointer." << std::endl;
                                        - -
                                        630 }
                                        -
                                        631 *number = getInputSize();
                                        -
                                        632 }
                                        -
                                        633 catch (const std::exception &e)
                                        -
                                        634 {
                                        -
                                        635 std::cerr << "Error during nnfw_session::input_size : " << e.what() << std::endl;
                                        -
                                        636 return NNFW_STATUS_ERROR;
                                        -
                                        637 }
                                        - -
                                        639}
                                        +

                                        Definition at line 634 of file nnfw_api_internal.cc.

                                        +
                                        635{
                                        +
                                        636 if (isStateInitialized()) // Model is not loaded
                                        + +
                                        638
                                        +
                                        639 try
                                        +
                                        640 {
                                        +
                                        641 if (number == nullptr)
                                        +
                                        642 {
                                        +
                                        643 std::cerr << "Error during nnfw_session::input_size, number is null pointer." << std::endl;
                                        + +
                                        645 }
                                        +
                                        646 *number = getInputSize();
                                        +
                                        647 }
                                        +
                                        648 catch (const std::exception &e)
                                        +
                                        649 {
                                        +
                                        650 std::cerr << "Error during nnfw_session::input_size : " << e.what() << std::endl;
                                        +
                                        651 return NNFW_STATUS_ERROR;
                                        +
                                        652 }
                                        + +
                                        654}
                                        int number
                                        Definition jpeg2hdf5.py:87

                                        References NNFW_STATUS_ERROR, NNFW_STATUS_INVALID_STATE, NNFW_STATUS_NO_ERROR, and NNFW_STATUS_UNEXPECTED_NULL.

                                        @@ -559,10 +690,10 @@

                                        -

                                        Definition at line 1162 of file nnfw_api_internal.cc.

                                        -
                                        1163{
                                        -
                                        1164 return getTensorIndexImpl(*primary_subgraph(), tensorname, index, true);
                                        -
                                        1165}
                                        +

                                        Definition at line 1177 of file nnfw_api_internal.cc.

                                        +
                                        1178{
                                        +
                                        1179 return getTensorIndexImpl(*primary_subgraph(), tensorname, index, true);
                                        +
                                        1180}

                                        @@ -592,54 +723,54 @@

                                        -

                                        Definition at line 769 of file nnfw_api_internal.cc.

                                        -
                                        770{
                                        -
                                        771 if (isStateInitialized())
                                        - -
                                        773
                                        -
                                        774 try
                                        -
                                        775 {
                                        -
                                        776 if (ti == nullptr)
                                        -
                                        777 {
                                        -
                                        778 std::cerr << "Error during nnfw_session::input_tensorinfo, tensorinfo is null pointer."
                                        -
                                        779 << std::endl;
                                        - -
                                        781 }
                                        -
                                        782
                                        -
                                        783 if (index >= getInputSize())
                                        -
                                        784 {
                                        -
                                        785 std::cerr << "Error during nnfw_session::input_tensorinfo, index is out of range."
                                        -
                                        786 << std::endl;
                                        -
                                        787 return NNFW_STATUS_ERROR;
                                        -
                                        788 }
                                        -
                                        789
                                        -
                                        790 if (isStateModelLoaded())
                                        -
                                        791 {
                                        -
                                        792 auto info = _nnpkg->inputInfo(index);
                                        -
                                        793 fillTensorInfo(ti, info.shape(), info.typeInfo().type());
                                        -
                                        794 }
                                        -
                                        795 else
                                        -
                                        796 {
                                        -
                                        797 auto io_index = onert::ir::IOIndex{index};
                                        -
                                        798 auto shape = _execution->getInputShape(io_index);
                                        -
                                        799 auto dtype = _compiler_artifact->_executors->inputInfo(io_index).typeInfo().type();
                                        -
                                        800 fillTensorInfo(ti, shape, dtype);
                                        -
                                        801 }
                                        -
                                        802 }
                                        -
                                        803 catch (const std::exception &e)
                                        -
                                        804 {
                                        -
                                        805 std::cerr << "Error during nnfw_session::input_tensorinfo : " << e.what() << std::endl;
                                        -
                                        806 return NNFW_STATUS_ERROR;
                                        -
                                        807 }
                                        - -
                                        809}
                                        +

                                        Definition at line 784 of file nnfw_api_internal.cc.

                                        +
                                        785{
                                        +
                                        786 if (isStateInitialized())
                                        + +
                                        788
                                        +
                                        789 try
                                        +
                                        790 {
                                        +
                                        791 if (ti == nullptr)
                                        +
                                        792 {
                                        +
                                        793 std::cerr << "Error during nnfw_session::input_tensorinfo, tensorinfo is null pointer."
                                        +
                                        794 << std::endl;
                                        + +
                                        796 }
                                        +
                                        797
                                        +
                                        798 if (index >= getInputSize())
                                        +
                                        799 {
                                        +
                                        800 std::cerr << "Error during nnfw_session::input_tensorinfo, index is out of range."
                                        +
                                        801 << std::endl;
                                        +
                                        802 return NNFW_STATUS_ERROR;
                                        +
                                        803 }
                                        +
                                        804
                                        +
                                        805 if (isStateModelLoaded())
                                        +
                                        806 {
                                        +
                                        807 auto info = _nnpkg->inputInfo(index);
                                        +
                                        808 fillTensorInfo(ti, info.shape(), info.typeInfo().type());
                                        +
                                        809 }
                                        +
                                        810 else
                                        +
                                        811 {
                                        +
                                        812 auto io_index = onert::ir::IOIndex{index};
                                        +
                                        813 auto shape = _execution->getInputShape(io_index);
                                        +
                                        814 auto dtype = _compiler_artifact->_executors->inputInfo(io_index).typeInfo().type();
                                        +
                                        815 fillTensorInfo(ti, shape, dtype);
                                        +
                                        816 }
                                        +
                                        817 }
                                        +
                                        818 catch (const std::exception &e)
                                        +
                                        819 {
                                        +
                                        820 std::cerr << "Error during nnfw_session::input_tensorinfo : " << e.what() << std::endl;
                                        +
                                        821 return NNFW_STATUS_ERROR;
                                        +
                                        822 }
                                        + +
                                        824}
                                        volatile const char info[]
                                        loco::GraphInputIndex index(const TFPlaceholder *node)
                                        Definition TFNode.cpp:54

                                        References info, NNFW_STATUS_ERROR, NNFW_STATUS_INVALID_STATE, NNFW_STATUS_NO_ERROR, and NNFW_STATUS_UNEXPECTED_NULL.

                                        -

                                        Referenced by package.libnnfw_api_pybind.nnfw_session_wrapper::set_inputs(), and train_set_input().

                                        +

                                        Referenced by package.libnnfw_api_pybind.nnfw_session_wrapper::set_inputs(), and train_set_input().

                                        @@ -669,37 +800,36 @@

                                        -

                                        Definition at line 275 of file nnfw_api_internal.cc.

                                        -
                                        276{
                                        -
                                        277 if (!isStateInitialized())
                                        - -
                                        279
                                        -
                                        280 if (!buffer)
                                        - -
                                        282
                                        -
                                        283 if (size == 0)
                                        -
                                        284 return NNFW_STATUS_ERROR;
                                        -
                                        285
                                        -
                                        286 try
                                        -
                                        287 {
                                        - -
                                        289 // TODO: Update _model_path if necessary
                                        -
                                        290 _nnpkg = std::make_shared<onert::ir::NNPkg>(std::move(model));
                                        - -
                                        292 _train_info = loadTrainingInfo(_nnpkg->primary_model());
                                        -
                                        293 _state = State::MODEL_LOADED;
                                        -
                                        294 }
                                        -
                                        295 catch (const std::exception &e)
                                        -
                                        296 {
                                        -
                                        297 std::cerr << "Error during model loading : " << e.what() << std::endl;
                                        -
                                        298 return NNFW_STATUS_ERROR;
                                        -
                                        299 }
                                        - -
                                        301}
                                        +

                                        Definition at line 286 of file nnfw_api_internal.cc.

                                        +
                                        287{
                                        +
                                        288 if (!isStateInitialized())
                                        + +
                                        290
                                        +
                                        291 if (!buffer)
                                        + +
                                        293
                                        +
                                        294 if (size == 0)
                                        +
                                        295 return NNFW_STATUS_ERROR;
                                        +
                                        296
                                        +
                                        297 try
                                        +
                                        298 {
                                        + +
                                        300 // TODO: Update _model_path if necessary
                                        +
                                        301 _nnpkg = std::make_shared<onert::ir::NNPkg>(std::move(model));
                                        + +
                                        303 _train_info = loadTrainingInfo(_nnpkg->primary_model());
                                        +
                                        304 _state = State::MODEL_LOADED;
                                        +
                                        305 }
                                        +
                                        306 catch (const std::exception &e)
                                        +
                                        307 {
                                        +
                                        308 std::cerr << "Error during model loading : " << e.what() << std::endl;
                                        +
                                        309 return NNFW_STATUS_ERROR;
                                        +
                                        310 }
                                        + +
                                        312}
                                        static std::unique_ptr< CompilerOptions > fromGlobalConfig()
                                        Set default values for CompilerOptions.
                                        -
                                        std::unique_ptr< ir::Model > loadModel(const std::string &filename)
                                        -
                                        std::unique_ptr< ir::train::TrainingInfo > loadTrainingInfo(const uint8_t *buffer, const size_t size)
                                        +
                                        std::unique_ptr< ir::train::TrainingInfo > loadTrainingInfo(const uint8_t *buffer, const size_t size)
                                        int32_t size[5]
                                        Definition Slice.cpp:35

                                        References onert::compiler::CompilerOptions::fromGlobalConfig(), onert::circle_loader::loadModel(), NNFW_STATUS_ERROR, NNFW_STATUS_INVALID_STATE, NNFW_STATUS_NO_ERROR, NNFW_STATUS_UNEXPECTED_NULL, and size.

                                        @@ -722,48 +852,49 @@

                                        -

                                        Definition at line 303 of file nnfw_api_internal.cc.

                                        -
                                        304{
                                        -
                                        305 if (!isStateInitialized())
                                        - -
                                        307
                                        -
                                        308 if (!model_file_path)
                                        -
                                        309 {
                                        -
                                        310 std::cerr << "Model file path is null." << std::endl;
                                        - -
                                        312 }
                                        -
                                        313
                                        -
                                        314 // Create quantize manager
                                        -
                                        315 _quant_manager = std::make_unique<onert::odc::QuantizeManager>(std::string(model_file_path));
                                        -
                                        316
                                        -
                                        317 std::string filename{model_file_path};
                                        -
                                        318 // TODO: Use std::filesystem::path when we can use c++17.
                                        -
                                        319 auto dotidx = filename.find_last_of('.');
                                        -
                                        320 if (dotidx == std::string::npos)
                                        -
                                        321 {
                                        -
                                        322 std::cerr << "Invalid model file path. Please use file with extension." << std::endl;
                                        -
                                        323 return NNFW_STATUS_ERROR;
                                        -
                                        324 }
                                        -
                                        325 std::string model_type = filename.substr(dotidx + 1); // + 1 to exclude dot
                                        -
                                        326 try
                                        -
                                        327 {
                                        -
                                        328 auto model = loadModel(filename, model_type);
                                        -
                                        329 if (model == nullptr)
                                        -
                                        330 return NNFW_STATUS_ERROR;
                                        -
                                        331 _model_path = std::string(model_file_path);
                                        -
                                        332 _nnpkg = std::make_shared<onert::ir::NNPkg>(std::move(model));
                                        - -
                                        334 _train_info = loadTrainingInfo(_nnpkg->primary_model());
                                        -
                                        335 _state = State::MODEL_LOADED;
                                        -
                                        336 }
                                        -
                                        337 catch (const std::exception &e)
                                        -
                                        338 {
                                        -
                                        339 std::cerr << "Error during model loading : " << e.what() << std::endl;
                                        -
                                        340 return NNFW_STATUS_ERROR;
                                        -
                                        341 }
                                        - -
                                        343}
                                        -
                                        std::unique_ptr< mir::Graph > loadModel(std::string predict_net, std::string init_net, const std::vector< std::vector< int > > &input_shapes)
                                        +

                                        Definition at line 314 of file nnfw_api_internal.cc.

                                        +
                                        315{
                                        +
                                        316 if (!isStateInitialized())
                                        + +
                                        318
                                        +
                                        319 if (!model_file_path)
                                        +
                                        320 {
                                        +
                                        321 std::cerr << "Model file path is null." << std::endl;
                                        + +
                                        323 }
                                        +
                                        324
                                        +
                                        325 // Create quantize manager
                                        +
                                        326 _quant_manager = std::make_unique<onert::odc::QuantizeManager>(std::string(model_file_path));
                                        +
                                        327 // Create codegen manager
                                        +
                                        328 _codegen_manager = std::make_unique<onert::odc::CodegenManager>(std::string{model_file_path});
                                        +
                                        329
                                        +
                                        330 std::string filename{model_file_path};
                                        +
                                        331 // TODO: Use std::filesystem::path when we can use c++17.
                                        +
                                        332 auto dotidx = filename.find_last_of('.');
                                        +
                                        333 if (dotidx == std::string::npos)
                                        +
                                        334 {
                                        +
                                        335 std::cerr << "Invalid model file path. Please use file with extension." << std::endl;
                                        +
                                        336 return NNFW_STATUS_ERROR;
                                        +
                                        337 }
                                        +
                                        338 std::string model_type = filename.substr(dotidx + 1); // + 1 to exclude dot
                                        +
                                        339 try
                                        +
                                        340 {
                                        +
                                        341 auto model = loadModel(filename, model_type);
                                        +
                                        342 if (model == nullptr)
                                        +
                                        343 return NNFW_STATUS_ERROR;
                                        +
                                        344 _model_path = std::string(model_file_path);
                                        +
                                        345 _nnpkg = std::make_shared<onert::ir::NNPkg>(std::move(model));
                                        + +
                                        347 _train_info = loadTrainingInfo(_nnpkg->primary_model());
                                        +
                                        348 _state = State::MODEL_LOADED;
                                        +
                                        349 }
                                        +
                                        350 catch (const std::exception &e)
                                        +
                                        351 {
                                        +
                                        352 std::cerr << "Error during model loading : " << e.what() << std::endl;
                                        +
                                        353 return NNFW_STATUS_ERROR;
                                        +
                                        354 }
                                        + +
                                        356}

                                        References onert::compiler::CompilerOptions::fromGlobalConfig(), NNFW_STATUS_ERROR, NNFW_STATUS_INVALID_STATE, NNFW_STATUS_NO_ERROR, and NNFW_STATUS_UNEXPECTED_NULL.

                                        @@ -785,121 +916,123 @@

                                        -

                                        Definition at line 345 of file nnfw_api_internal.cc.

                                        -
                                        346{
                                        -
                                        347 if (!isStateInitialized())
                                        - -
                                        349
                                        -
                                        350 if (!package_dir)
                                        -
                                        351 {
                                        -
                                        352 std::cerr << "package_dir is null." << std::endl;
                                        - -
                                        354 }
                                        -
                                        355
                                        -
                                        356 if (!null_terminating(package_dir, MAX_PATH_LENGTH))
                                        -
                                        357 {
                                        -
                                        358 std::cerr << "nnpackage path is too long" << std::endl;
                                        -
                                        359 return NNFW_STATUS_ERROR;
                                        -
                                        360 }
                                        -
                                        361
                                        -
                                        362 // TODO : add support for zipped package file load
                                        -
                                        363 DIR *dir;
                                        -
                                        364 if (!(dir = opendir(package_dir)))
                                        -
                                        365 {
                                        -
                                        366 std::cerr << "invalid nnpackge directory: " << package_dir << std::endl;
                                        -
                                        367 return NNFW_STATUS_ERROR;
                                        -
                                        368 }
                                        -
                                        369 closedir(dir);
                                        -
                                        370
                                        -
                                        371 try
                                        -
                                        372 {
                                        -
                                        373 std::string package_path(package_dir);
                                        -
                                        374 std::string manifest_file_name = package_path + "/metadata/MANIFEST";
                                        -
                                        375 std::ifstream mfs(manifest_file_name);
                                        -
                                        376
                                        -
                                        377 // extract the filename of the first(index 0) model
                                        -
                                        378 // e.g. In MANIFEST file, { "models" : [ "firstmodel.tflite", "2nd.tflite" ] }
                                        -
                                        379 Json::Value root;
                                        -
                                        380 mfs >> root;
                                        -
                                        381 const Json::Value &models = root["models"];
                                        -
                                        382 const Json::Value &model_types = root["model-types"];
                                        -
                                        383 const Json::Value &configs = root["configs"];
                                        -
                                        384
                                        -
                                        385 if (!configs.empty() && !configs[0].empty())
                                        -
                                        386 {
                                        -
                                        387 auto filepath = package_path + std::string("/metadata/") + configs[0].asString();
                                        -
                                        388
                                        - -
                                        390 if (loadConfigure(filepath, keyValues))
                                        -
                                        391 {
                                        - -
                                        393 }
                                        -
                                        394 }
                                        -
                                        395 _nnpkg = std::make_shared<onert::ir::NNPkg>();
                                        -
                                        396 auto num_models = models.size();
                                        -
                                        397 if (num_models == 0 || (num_models - 1) > onert::ir::ModelIndex::max())
                                        -
                                        398 {
                                        -
                                        399 std::cerr << "Invalid model size - " << std::to_string(num_models) << std::endl;
                                        -
                                        400 return NNFW_STATUS_ERROR;
                                        -
                                        401 }
                                        -
                                        402
                                        -
                                        403 // Create quantize manager
                                        -
                                        404 // TODO Support multiple models
                                        -
                                        405 auto const model_filename = package_path + std::string("/") + models[0].asString();
                                        -
                                        406 _quant_manager = std::make_unique<onert::odc::QuantizeManager>(model_filename);
                                        -
                                        407
                                        -
                                        408 for (uint16_t i = 0; i < num_models; ++i)
                                        -
                                        409 {
                                        -
                                        410 auto model_file_path = package_path + std::string("/") + models[i].asString();
                                        -
                                        411 auto model_type = model_types[i].asString();
                                        -
                                        412 auto model = loadModel(model_file_path, model_type);
                                        -
                                        413 if (model == nullptr)
                                        -
                                        414 return NNFW_STATUS_ERROR;
                                        -
                                        415 _model_path = std::string(model_file_path);
                                        -
                                        416 model->bindKernelBuilder(_kernel_registry->getBuilder());
                                        -
                                        417 _nnpkg->push(onert::ir::ModelIndex{i}, std::move(model));
                                        - -
                                        419 }
                                        -
                                        420 _train_info = loadTrainingInfo(_nnpkg->primary_model());
                                        -
                                        421
                                        -
                                        422 auto toIODesc = [](std::string str) {
                                        -
                                        423 auto indices = nnfw::misc::split(str, ':');
                                        -
                                        424 if (indices.size() != 3)
                                        -
                                        425 {
                                        -
                                        426 std::cerr << "IODesc should be 3-tuple." << std::endl;
                                        -
                                        427 return onert::ir::IODesc{};
                                        -
                                        428 }
                                        -
                                        429 auto model_idx = static_cast<uint32_t>(std::stoi(indices.at(0)));
                                        -
                                        430 auto subgraph_idx = static_cast<uint32_t>(std::stoi(indices.at(1)));
                                        -
                                        431 auto operand_idx = static_cast<uint32_t>(std::stoi(indices.at(2)));
                                        -
                                        432 return onert::ir::IODesc{model_idx, subgraph_idx, operand_idx};
                                        -
                                        433 };
                                        -
                                        434 // read pkg-inputs and pkg-outputs
                                        -
                                        435 const Json::Value &pkg_inputs = root["pkg-inputs"];
                                        -
                                        436 for (uint32_t i = 0; i < pkg_inputs.size(); ++i)
                                        -
                                        437 _nnpkg->addInput(toIODesc(pkg_inputs[i].asString()));
                                        -
                                        438 const Json::Value &pkg_outputs = root["pkg-outputs"];
                                        -
                                        439 for (uint32_t i = 0; i < pkg_outputs.size(); ++i)
                                        -
                                        440 _nnpkg->addOutput(toIODesc(pkg_outputs[i].asString()));
                                        -
                                        441 // read model-connect
                                        -
                                        442 const Json::Value &fromtos = root["model-connect"];
                                        -
                                        443 for (uint32_t i = 0; i < fromtos.size(); ++i)
                                        -
                                        444 {
                                        -
                                        445 const Json::Value &tos = fromtos[i]["to"];
                                        -
                                        446 for (uint32_t j = 0; j < tos.size(); ++j)
                                        -
                                        447 _nnpkg->addEdge(toIODesc(fromtos[i]["from"].asString()), toIODesc(tos[j].asString()));
                                        -
                                        448 }
                                        -
                                        449
                                        -
                                        450 _nnpkg->verify();
                                        -
                                        451 _state = State::MODEL_LOADED;
                                        -
                                        452 }
                                        -
                                        453 catch (const std::exception &e)
                                        -
                                        454 {
                                        -
                                        455 std::cerr << "Error during model loading : " << e.what() << std::endl;
                                        -
                                        456 return NNFW_STATUS_ERROR;
                                        -
                                        457 }
                                        - -
                                        459}
                                        +

                                        Definition at line 358 of file nnfw_api_internal.cc.

                                        +
                                        359{
                                        +
                                        360 if (!isStateInitialized())
                                        + +
                                        362
                                        +
                                        363 if (!package_dir)
                                        +
                                        364 {
                                        +
                                        365 std::cerr << "package_dir is null." << std::endl;
                                        + +
                                        367 }
                                        +
                                        368
                                        +
                                        369 if (!null_terminating(package_dir, MAX_PATH_LENGTH))
                                        +
                                        370 {
                                        +
                                        371 std::cerr << "nnpackage path is too long" << std::endl;
                                        +
                                        372 return NNFW_STATUS_ERROR;
                                        +
                                        373 }
                                        +
                                        374
                                        +
                                        375 // TODO : add support for zipped package file load
                                        +
                                        376 DIR *dir;
                                        +
                                        377 if (!(dir = opendir(package_dir)))
                                        +
                                        378 {
                                        +
                                        379 std::cerr << "invalid nnpackge directory: " << package_dir << std::endl;
                                        +
                                        380 return NNFW_STATUS_ERROR;
                                        +
                                        381 }
                                        +
                                        382 closedir(dir);
                                        +
                                        383
                                        +
                                        384 try
                                        +
                                        385 {
                                        +
                                        386 std::string package_path(package_dir);
                                        +
                                        387 std::string manifest_file_name = package_path + "/metadata/MANIFEST";
                                        +
                                        388 std::ifstream mfs(manifest_file_name);
                                        +
                                        389
                                        +
                                        390 // extract the filename of the first(index 0) model
                                        +
                                        391 // e.g. In MANIFEST file, { "models" : [ "firstmodel.tflite", "2nd.tflite" ] }
                                        +
                                        392 Json::Value root;
                                        +
                                        393 mfs >> root;
                                        +
                                        394 const Json::Value &models = root["models"];
                                        +
                                        395 const Json::Value &model_types = root["model-types"];
                                        +
                                        396 const Json::Value &configs = root["configs"];
                                        +
                                        397
                                        +
                                        398 if (!configs.empty() && !configs[0].empty())
                                        +
                                        399 {
                                        +
                                        400 auto filepath = package_path + std::string("/metadata/") + configs[0].asString();
                                        +
                                        401
                                        + +
                                        403 if (loadConfigure(filepath, keyValues))
                                        +
                                        404 {
                                        + +
                                        406 }
                                        +
                                        407 }
                                        +
                                        408 _nnpkg = std::make_shared<onert::ir::NNPkg>();
                                        +
                                        409 auto num_models = models.size();
                                        +
                                        410 if (num_models == 0 || (num_models - 1) > onert::ir::ModelIndex::max())
                                        +
                                        411 {
                                        +
                                        412 std::cerr << "Invalid model size - " << std::to_string(num_models) << std::endl;
                                        +
                                        413 return NNFW_STATUS_ERROR;
                                        +
                                        414 }
                                        +
                                        415
                                        +
                                        416 // Create quantize manager
                                        +
                                        417 // TODO Support multiple models
                                        +
                                        418 auto const model_filename = package_path + std::string("/") + models[0].asString();
                                        +
                                        419 _quant_manager = std::make_unique<onert::odc::QuantizeManager>(model_filename);
                                        +
                                        420 // Create codegen manager
                                        +
                                        421 _codegen_manager = std::make_unique<onert::odc::CodegenManager>(model_filename);
                                        +
                                        422
                                        +
                                        423 for (uint16_t i = 0; i < num_models; ++i)
                                        +
                                        424 {
                                        +
                                        425 auto model_file_path = package_path + std::string("/") + models[i].asString();
                                        +
                                        426 auto model_type = model_types[i].asString();
                                        +
                                        427 auto model = loadModel(model_file_path, model_type);
                                        +
                                        428 if (model == nullptr)
                                        +
                                        429 return NNFW_STATUS_ERROR;
                                        +
                                        430 _model_path = std::string(model_file_path);
                                        +
                                        431 model->bindKernelBuilder(_kernel_registry->getBuilder());
                                        +
                                        432 _nnpkg->push(onert::ir::ModelIndex{i}, std::move(model));
                                        + +
                                        434 }
                                        +
                                        435 _train_info = loadTrainingInfo(_nnpkg->primary_model());
                                        +
                                        436
                                        +
                                        437 auto toIODesc = [](std::string str) {
                                        +
                                        438 auto indices = nnfw::misc::split(str, ':');
                                        +
                                        439 if (indices.size() != 3)
                                        +
                                        440 {
                                        +
                                        441 std::cerr << "IODesc should be 3-tuple." << std::endl;
                                        +
                                        442 return onert::ir::IODesc{};
                                        +
                                        443 }
                                        +
                                        444 auto model_idx = static_cast<uint32_t>(std::stoi(indices.at(0)));
                                        +
                                        445 auto subgraph_idx = static_cast<uint32_t>(std::stoi(indices.at(1)));
                                        +
                                        446 auto operand_idx = static_cast<uint32_t>(std::stoi(indices.at(2)));
                                        +
                                        447 return onert::ir::IODesc{model_idx, subgraph_idx, operand_idx};
                                        +
                                        448 };
                                        +
                                        449 // read pkg-inputs and pkg-outputs
                                        +
                                        450 const Json::Value &pkg_inputs = root["pkg-inputs"];
                                        +
                                        451 for (uint32_t i = 0; i < pkg_inputs.size(); ++i)
                                        +
                                        452 _nnpkg->addInput(toIODesc(pkg_inputs[i].asString()));
                                        +
                                        453 const Json::Value &pkg_outputs = root["pkg-outputs"];
                                        +
                                        454 for (uint32_t i = 0; i < pkg_outputs.size(); ++i)
                                        +
                                        455 _nnpkg->addOutput(toIODesc(pkg_outputs[i].asString()));
                                        +
                                        456 // read model-connect
                                        +
                                        457 const Json::Value &fromtos = root["model-connect"];
                                        +
                                        458 for (uint32_t i = 0; i < fromtos.size(); ++i)
                                        +
                                        459 {
                                        +
                                        460 const Json::Value &tos = fromtos[i]["to"];
                                        +
                                        461 for (uint32_t j = 0; j < tos.size(); ++j)
                                        +
                                        462 _nnpkg->addEdge(toIODesc(fromtos[i]["from"].asString()), toIODesc(tos[j].asString()));
                                        +
                                        463 }
                                        +
                                        464
                                        +
                                        465 _nnpkg->verify();
                                        +
                                        466 _state = State::MODEL_LOADED;
                                        +
                                        467 }
                                        +
                                        468 catch (const std::exception &e)
                                        +
                                        469 {
                                        +
                                        470 std::cerr << "Error during model loading : " << e.what() << std::endl;
                                        +
                                        471 return NNFW_STATUS_ERROR;
                                        +
                                        472 }
                                        + +
                                        474}
                                        static uint16_t max()
                                        Return max index value.
                                        Definition Index.h:146
                                        Op * root(Op *)
                                        Return the root Op from a given Op node.
                                        Definition Op.cpp:144
                                        @@ -907,9 +1040,9 @@

                                        std::tuple< ModelIndex, SubgraphIndex, IOIndex > IODesc
                                        Definition NNPkg.h:32

                                        std::unordered_map< std::string, std::string > CfgKeyValues
                                        void setConfigKeyValues(const CfgKeyValues &keyValues)
                                        -
                                        #define MAX_PATH_LENGTH
                                        +
                                        #define MAX_PATH_LENGTH
                                        -

                                        References onert::compiler::CompilerOptions::fromGlobalConfig(), onert::util::Index< uint16_t, ModelIndexTag >::max(), MAX_PATH_LENGTH, NNFW_STATUS_ERROR, NNFW_STATUS_INVALID_STATE, NNFW_STATUS_NO_ERROR, NNFW_STATUS_UNEXPECTED_NULL, onert::util::setConfigKeyValues(), and nnfw::misc::split().

                                        +

                                        References onert::compiler::CompilerOptions::fromGlobalConfig(), onert::util::Index< uint16_t, ModelIndexTag >::max(), MAX_PATH_LENGTH, NNFW_STATUS_ERROR, NNFW_STATUS_INVALID_STATE, NNFW_STATUS_NO_ERROR, NNFW_STATUS_UNEXPECTED_NULL, onert::util::setConfigKeyValues(), and nnfw::misc::split().

                                        @@ -929,27 +1062,27 @@

                                        -

                                        Definition at line 641 of file nnfw_api_internal.cc.

                                        -
                                        642{
                                        -
                                        643 if (isStateInitialized()) // Model is not loaded
                                        - -
                                        645
                                        -
                                        646 try
                                        -
                                        647 {
                                        -
                                        648 if (number == nullptr)
                                        -
                                        649 {
                                        -
                                        650 std::cerr << "Error during nnfw_session::output_size, number is null pointer." << std::endl;
                                        - -
                                        652 }
                                        -
                                        653 *number = getOutputSize();
                                        -
                                        654 }
                                        -
                                        655 catch (const std::exception &e)
                                        -
                                        656 {
                                        -
                                        657 std::cerr << "Error during nnfw_session::output_size" << e.what() << std::endl;
                                        -
                                        658 return NNFW_STATUS_ERROR;
                                        -
                                        659 }
                                        - -
                                        661}
                                        +

                                        Definition at line 656 of file nnfw_api_internal.cc.

                                        +
                                        657{
                                        +
                                        658 if (isStateInitialized()) // Model is not loaded
                                        + +
                                        660
                                        +
                                        661 try
                                        +
                                        662 {
                                        +
                                        663 if (number == nullptr)
                                        +
                                        664 {
                                        +
                                        665 std::cerr << "Error during nnfw_session::output_size, number is null pointer." << std::endl;
                                        + +
                                        667 }
                                        +
                                        668 *number = getOutputSize();
                                        +
                                        669 }
                                        +
                                        670 catch (const std::exception &e)
                                        +
                                        671 {
                                        +
                                        672 std::cerr << "Error during nnfw_session::output_size" << e.what() << std::endl;
                                        +
                                        673 return NNFW_STATUS_ERROR;
                                        +
                                        674 }
                                        + +
                                        676}

                                        References NNFW_STATUS_ERROR, NNFW_STATUS_INVALID_STATE, NNFW_STATUS_NO_ERROR, and NNFW_STATUS_UNEXPECTED_NULL.

                                        @@ -981,10 +1114,10 @@

                                        -

                                        Definition at line 1167 of file nnfw_api_internal.cc.

                                        -
                                        1168{
                                        -
                                        1169 return getTensorIndexImpl(*primary_subgraph(), tensorname, index, false);
                                        -
                                        1170}
                                        +

                                        Definition at line 1182 of file nnfw_api_internal.cc.

                                        +
                                        1183{
                                        +
                                        1184 return getTensorIndexImpl(*primary_subgraph(), tensorname, index, false);
                                        +
                                        1185}

                                        @@ -1014,48 +1147,48 @@

                                        -

                                        Definition at line 811 of file nnfw_api_internal.cc.

                                        -
                                        812{
                                        -
                                        813 if (isStateInitialized())
                                        - -
                                        815
                                        -
                                        816 if (ti == nullptr)
                                        -
                                        817 {
                                        -
                                        818 std::cerr << "Error during nnfw_session::output_tensorinfo, tensorinfo is null pointer."
                                        -
                                        819 << std::endl;
                                        - -
                                        821 }
                                        -
                                        822
                                        -
                                        823 try
                                        -
                                        824 {
                                        -
                                        825 if (index >= getOutputSize())
                                        -
                                        826 {
                                        -
                                        827 std::cerr << "Error during nnfw_session::output_tensorinfo, index is out of range."
                                        -
                                        828 << std::endl;
                                        -
                                        829 return NNFW_STATUS_ERROR;
                                        -
                                        830 }
                                        -
                                        831
                                        -
                                        832 if (isStateModelLoaded())
                                        -
                                        833 {
                                        -
                                        834 auto info = _nnpkg->outputInfo(index);
                                        -
                                        835 fillTensorInfo(ti, info.shape(), info.typeInfo().type());
                                        -
                                        836 }
                                        -
                                        837 else
                                        -
                                        838 {
                                        -
                                        839 auto io_index = onert::ir::IOIndex{index};
                                        -
                                        840 auto shape = _execution->getOutputShape(io_index);
                                        -
                                        841 auto dtype = _compiler_artifact->_executors->outputInfo(io_index).typeInfo().type();
                                        -
                                        842 fillTensorInfo(ti, shape, dtype);
                                        -
                                        843 }
                                        -
                                        844 }
                                        -
                                        845 catch (const std::exception &e)
                                        -
                                        846 {
                                        -
                                        847 std::cerr << "Error during nnfw_session::output_tensorinfo : " << e.what() << std::endl;
                                        -
                                        848 return NNFW_STATUS_ERROR;
                                        -
                                        849 }
                                        -
                                        850
                                        - -
                                        852}
                                        +

                                        Definition at line 826 of file nnfw_api_internal.cc.

                                        +
                                        827{
                                        +
                                        828 if (isStateInitialized())
                                        + +
                                        830
                                        +
                                        831 if (ti == nullptr)
                                        +
                                        832 {
                                        +
                                        833 std::cerr << "Error during nnfw_session::output_tensorinfo, tensorinfo is null pointer."
                                        +
                                        834 << std::endl;
                                        + +
                                        836 }
                                        +
                                        837
                                        +
                                        838 try
                                        +
                                        839 {
                                        +
                                        840 if (index >= getOutputSize())
                                        +
                                        841 {
                                        +
                                        842 std::cerr << "Error during nnfw_session::output_tensorinfo, index is out of range."
                                        +
                                        843 << std::endl;
                                        +
                                        844 return NNFW_STATUS_ERROR;
                                        +
                                        845 }
                                        +
                                        846
                                        +
                                        847 if (isStateModelLoaded())
                                        +
                                        848 {
                                        +
                                        849 auto info = _nnpkg->outputInfo(index);
                                        +
                                        850 fillTensorInfo(ti, info.shape(), info.typeInfo().type());
                                        +
                                        851 }
                                        +
                                        852 else
                                        +
                                        853 {
                                        +
                                        854 auto io_index = onert::ir::IOIndex{index};
                                        +
                                        855 auto shape = _execution->getOutputShape(io_index);
                                        +
                                        856 auto dtype = _compiler_artifact->_executors->outputInfo(io_index).typeInfo().type();
                                        +
                                        857 fillTensorInfo(ti, shape, dtype);
                                        +
                                        858 }
                                        +
                                        859 }
                                        +
                                        860 catch (const std::exception &e)
                                        +
                                        861 {
                                        +
                                        862 std::cerr << "Error during nnfw_session::output_tensorinfo : " << e.what() << std::endl;
                                        +
                                        863 return NNFW_STATUS_ERROR;
                                        +
                                        864 }
                                        +
                                        865
                                        + +
                                        867}

                                        References info, NNFW_STATUS_ERROR, NNFW_STATUS_INVALID_STATE, NNFW_STATUS_NO_ERROR, and NNFW_STATUS_UNEXPECTED_NULL.

                                        @@ -1079,11 +1212,11 @@

                                        -

                                        Definition at line 860 of file nnfw_api_internal.cc.

                                        -
                                        861{
                                        -
                                        862 std::cerr << "Pipeline pop_pipeline_output: deprecated feature " << std::endl;
                                        -
                                        863 return NNFW_STATUS_ERROR;
                                        -
                                        864}
                                        +

                                        Definition at line 875 of file nnfw_api_internal.cc.

                                        +
                                        876{
                                        +
                                        877 std::cerr << "Pipeline pop_pipeline_output: deprecated feature " << std::endl;
                                        +
                                        878 return NNFW_STATUS_ERROR;
                                        +
                                        879}

                                        References NNFW_STATUS_ERROR.

                                        @@ -1104,40 +1237,40 @@

                                        -

                                        Definition at line 461 of file nnfw_api_internal.cc.

                                        -
                                        462{
                                        -
                                        463 // NOTE. If users want to run prepare() more than one time, this could be removed.
                                        -
                                        464 if (!isStateModelLoaded())
                                        -
                                        465 {
                                        -
                                        466 std::cerr << "Error during model prepare : ";
                                        -
                                        467 if (isStateInitialized())
                                        -
                                        468 {
                                        -
                                        469 std::cerr << "prepare should be run once";
                                        -
                                        470 }
                                        -
                                        471 else
                                        -
                                        472 {
                                        -
                                        473 std::cerr << "invalid state";
                                        -
                                        474 }
                                        -
                                        475 std::cerr << std::endl;
                                        - -
                                        477 }
                                        -
                                        478
                                        -
                                        479 try
                                        +

                                        Definition at line 476 of file nnfw_api_internal.cc.

                                        +
                                        477{
                                        +
                                        478 // NOTE. If users want to run prepare() more than one time, this could be removed.
                                        +
                                        479 if (!isStateModelLoaded())
                                        480 {
                                        -
                                        481 auto compiler = onert::compiler::CompilerFactory::get().create(_nnpkg, _coptions);
                                        -
                                        482 _nnpkg.reset();
                                        -
                                        483 _compiler_artifact = compiler->compile();
                                        -
                                        484 _execution = std::make_unique<onert::exec::Execution>(_compiler_artifact->_executors);
                                        -
                                        485 }
                                        -
                                        486 catch (const std::exception &e)
                                        -
                                        487 {
                                        -
                                        488 std::cerr << "Error during model prepare : " << e.what() << std::endl;
                                        -
                                        489 return NNFW_STATUS_ERROR;
                                        -
                                        490 }
                                        -
                                        491
                                        -
                                        492 _state = State::PREPARED;
                                        - -
                                        494}
                                        +
                                        481 std::cerr << "Error during model prepare : ";
                                        +
                                        482 if (isStateInitialized())
                                        +
                                        483 {
                                        +
                                        484 std::cerr << "prepare should be run once";
                                        +
                                        485 }
                                        +
                                        486 else
                                        +
                                        487 {
                                        +
                                        488 std::cerr << "invalid state";
                                        +
                                        489 }
                                        +
                                        490 std::cerr << std::endl;
                                        + +
                                        492 }
                                        +
                                        493
                                        +
                                        494 try
                                        +
                                        495 {
                                        +
                                        496 auto compiler = onert::compiler::CompilerFactory::get().create(_nnpkg, _coptions);
                                        +
                                        497 _nnpkg.reset();
                                        +
                                        498 _compiler_artifact = compiler->compile();
                                        +
                                        499 _execution = std::make_unique<onert::exec::Execution>(_compiler_artifact->_executors);
                                        +
                                        500 }
                                        +
                                        501 catch (const std::exception &e)
                                        +
                                        502 {
                                        +
                                        503 std::cerr << "Error during model prepare : " << e.what() << std::endl;
                                        +
                                        504 return NNFW_STATUS_ERROR;
                                        +
                                        505 }
                                        +
                                        506
                                        +
                                        507 _state = State::PREPARED;
                                        + +
                                        509}
                                        static CompilerFactory & get()
                                        std::unique_ptr< ICompiler > create(const std::shared_ptr< ir::NNPkg > &nnpkg, std::vector< std::unique_ptr< CompilerOptions > > &copts, const ir::train::TrainingInfo *training_info=nullptr)
                                        @@ -1161,11 +1294,11 @@

                                        -

                                        Definition at line 496 of file nnfw_api_internal.cc.

                                        -
                                        497{
                                        -
                                        498 std::cerr << "Pipeline prepare_pipeline: deprecated feature " << std::endl;
                                        -
                                        499 return NNFW_STATUS_ERROR;
                                        -
                                        500}
                                        +

                                        Definition at line 511 of file nnfw_api_internal.cc.

                                        +
                                        512{
                                        +
                                        513 std::cerr << "Pipeline prepare_pipeline: deprecated feature " << std::endl;
                                        +
                                        514 return NNFW_STATUS_ERROR;
                                        +
                                        515}

                                        References NNFW_STATUS_ERROR.

                                        @@ -1197,11 +1330,11 @@

                                        -

                                        Definition at line 854 of file nnfw_api_internal.cc.

                                        -
                                        855{
                                        -
                                        856 std::cerr << "Pipeline push_pipeline_input: deprecated feature " << std::endl;
                                        -
                                        857 return NNFW_STATUS_ERROR;
                                        -
                                        858}
                                        +

                                        Definition at line 869 of file nnfw_api_internal.cc.

                                        +
                                        870{
                                        +
                                        871 std::cerr << "Pipeline push_pipeline_input: deprecated feature " << std::endl;
                                        +
                                        872 return NNFW_STATUS_ERROR;
                                        +
                                        873}

                                        References NNFW_STATUS_ERROR.

                                        @@ -1222,36 +1355,36 @@

                                        -

                                        Definition at line 1806 of file nnfw_api_internal.cc.

                                        -
                                        1807{
                                        -
                                        1808 try
                                        -
                                        1809 {
                                        -
                                        1810 if (!isStateModelLoaded())
                                        -
                                        1811 {
                                        -
                                        1812 std::cerr << "invalid state" << std::endl;
                                        - -
                                        1814 }
                                        -
                                        1815
                                        -
                                        1816 auto result = _quant_manager->quantize();
                                        -
                                        1817 if (!result)
                                        - -
                                        1819
                                        -
                                        1820 // Replace model
                                        -
                                        1821 // TODO Support buffer replace, not file reload
                                        -
                                        1822 auto model = loadModel(_quant_manager->exportModelPath(), "circle");
                                        -
                                        1823 if (model == nullptr)
                                        -
                                        1824 return NNFW_STATUS_ERROR;
                                        -
                                        1825 // TODO: Update _model_path if necessary
                                        -
                                        1826 _nnpkg->replaceModel(std::move(model));
                                        -
                                        1827 }
                                        -
                                        1828 catch (const std::exception &e)
                                        -
                                        1829 {
                                        -
                                        1830 std::cerr << "Error during nnfw_session::quantize : " << e.what() << std::endl;
                                        -
                                        1831 return NNFW_STATUS_ERROR;
                                        -
                                        1832 }
                                        -
                                        1833
                                        -
                                        1834 return NNFW_STATUS_NO_ERROR;
                                        -
                                        1835}
                                        +

                                        Definition at line 1821 of file nnfw_api_internal.cc.

                                        +
                                        1822{
                                        +
                                        1823 try
                                        +
                                        1824 {
                                        +
                                        1825 if (!isStateModelLoaded())
                                        +
                                        1826 {
                                        +
                                        1827 std::cerr << "invalid state" << std::endl;
                                        + +
                                        1829 }
                                        +
                                        1830
                                        +
                                        1831 auto result = _quant_manager->quantize();
                                        +
                                        1832 if (!result)
                                        + +
                                        1834
                                        +
                                        1835 // Replace model
                                        +
                                        1836 // TODO Support buffer replace, not file reload
                                        +
                                        1837 auto model = loadModel(_quant_manager->exportModelPath(), "circle");
                                        +
                                        1838 if (model == nullptr)
                                        +
                                        1839 return NNFW_STATUS_ERROR;
                                        +
                                        1840 // TODO: Update _model_path if necessary
                                        +
                                        1841 _nnpkg->replaceModel(std::move(model));
                                        +
                                        1842 }
                                        +
                                        1843 catch (const std::exception &e)
                                        +
                                        1844 {
                                        +
                                        1845 std::cerr << "Error during nnfw_session::quantize : " << e.what() << std::endl;
                                        +
                                        1846 return NNFW_STATUS_ERROR;
                                        +
                                        1847 }
                                        +
                                        1848
                                        +
                                        1849 return NNFW_STATUS_NO_ERROR;
                                        +
                                        1850}

                                        References NNFW_STATUS_ERROR, NNFW_STATUS_INVALID_STATE, and NNFW_STATUS_NO_ERROR.

                                        @@ -1283,11 +1416,11 @@

                                        -

                                        Definition at line 866 of file nnfw_api_internal.cc.

                                        -
                                        868{
                                        -
                                        869 _kernel_registry->registerKernel(id, eval_func);
                                        - -
                                        871}
                                        +

                                        Definition at line 881 of file nnfw_api_internal.cc.

                                        +
                                        883{
                                        +
                                        884 _kernel_registry->registerKernel(id, eval_func);
                                        + +
                                        886}

                                        References NNFW_STATUS_NO_ERROR.

                                        @@ -1308,34 +1441,34 @@

                                        -

                                        Definition at line 502 of file nnfw_api_internal.cc.

                                        -
                                        503{
                                        -
                                        504 if (!isStatePreparedOrFinishedRun())
                                        -
                                        505 {
                                        -
                                        506 std::cerr << "Error during nnfw_session::run : "
                                        -
                                        507 << "run should be run after prepare" << std::endl;
                                        - -
                                        509 }
                                        -
                                        510
                                        -
                                        511 try
                                        -
                                        512 {
                                        -
                                        513 _execution->execute();
                                        -
                                        514 }
                                        - -
                                        516 {
                                        -
                                        517 // Currently insufficient buffer always means output buffer.
                                        -
                                        518 std::cerr << "Error during nnfw_session::run : " << e.what() << std::endl;
                                        - -
                                        520 }
                                        -
                                        521 catch (const std::exception &e)
                                        -
                                        522 {
                                        -
                                        523 std::cerr << "Error during nnfw_session::run : " << e.what() << std::endl;
                                        -
                                        524 return NNFW_STATUS_ERROR;
                                        -
                                        525 }
                                        -
                                        526
                                        -
                                        527 _state = State::FINISHED_RUN;
                                        - -
                                        529}
                                        +

                                        Definition at line 517 of file nnfw_api_internal.cc.

                                        +
                                        518{
                                        +
                                        519 if (!isStatePreparedOrFinishedRun())
                                        +
                                        520 {
                                        +
                                        521 std::cerr << "Error during nnfw_session::run : "
                                        +
                                        522 << "run should be run after prepare" << std::endl;
                                        + +
                                        524 }
                                        +
                                        525
                                        +
                                        526 try
                                        +
                                        527 {
                                        +
                                        528 _execution->execute();
                                        +
                                        529 }
                                        + +
                                        531 {
                                        +
                                        532 // Currently insufficient buffer always means output buffer.
                                        +
                                        533 std::cerr << "Error during nnfw_session::run : " << e.what() << std::endl;
                                        + +
                                        535 }
                                        +
                                        536 catch (const std::exception &e)
                                        +
                                        537 {
                                        +
                                        538 std::cerr << "Error during nnfw_session::run : " << e.what() << std::endl;
                                        +
                                        539 return NNFW_STATUS_ERROR;
                                        +
                                        540 }
                                        +
                                        541
                                        +
                                        542 _state = State::FINISHED_RUN;
                                        + +
                                        544}
                                        const char * what() const noexcept override
                                        Definition Exceptions.h:31
                                        @ NNFW_STATUS_INSUFFICIENT_OUTPUT_SIZE
                                        Definition nnfw.h:125
                                        @@ -1361,20 +1494,20 @@

                                        -

                                        Definition at line 531 of file nnfw_api_internal.cc.

                                        -
                                        532{
                                        -
                                        533 if (!isStatePreparedOrFinishedRun())
                                        -
                                        534 {
                                        -
                                        535 std::cerr << "Error during nnfw_session::run_async : "
                                        -
                                        536 << "run_async should be run after prepare" << std::endl;
                                        - -
                                        538 }
                                        -
                                        539
                                        -
                                        540 _execution->startExecute();
                                        -
                                        541
                                        -
                                        542 _state = State::RUNNING;
                                        - -
                                        544}
                                        +

                                        Definition at line 546 of file nnfw_api_internal.cc.

                                        +
                                        547{
                                        +
                                        548 if (!isStatePreparedOrFinishedRun())
                                        +
                                        549 {
                                        +
                                        550 std::cerr << "Error during nnfw_session::run_async : "
                                        +
                                        551 << "run_async should be run after prepare" << std::endl;
                                        + +
                                        553 }
                                        +
                                        554
                                        +
                                        555 _execution->startExecute();
                                        +
                                        556
                                        +
                                        557 _state = State::RUNNING;
                                        + +
                                        559}

                                        References NNFW_STATUS_INVALID_STATE, and NNFW_STATUS_NO_ERROR.

                                        @@ -1396,36 +1529,36 @@

                                        -

                                        Definition at line 896 of file nnfw_api_internal.cc.

                                        -
                                        897{
                                        -
                                        898 if (!isStateModelLoaded())
                                        - -
                                        900
                                        -
                                        901 try
                                        -
                                        902 {
                                        -
                                        903 if (!backends)
                                        - -
                                        905 if (null_terminating(backends, MAX_BACKEND_NAME_LENGTH) == false)
                                        -
                                        906 return NNFW_STATUS_ERROR;
                                        -
                                        907
                                        -
                                        908 auto &options = *_coptions[0];
                                        -
                                        909
                                        -
                                        910 using namespace onert::util;
                                        -
                                        911
                                        -
                                        912 options.backend_list = nnfw::misc::split(std::string{backends}, ';');
                                        -
                                        913 }
                                        -
                                        914 catch (const std::exception &e)
                                        -
                                        915 {
                                        -
                                        916 std::cerr << "Error during nnfw_session::set_available_backends : " << e.what() << std::endl;
                                        -
                                        917 return NNFW_STATUS_ERROR;
                                        -
                                        918 }
                                        - -
                                        920}
                                        +

                                        Definition at line 911 of file nnfw_api_internal.cc.

                                        +
                                        912{
                                        +
                                        913 if (!isStateModelLoaded())
                                        + +
                                        915
                                        +
                                        916 try
                                        +
                                        917 {
                                        +
                                        918 if (!backends)
                                        + +
                                        920 if (null_terminating(backends, MAX_BACKEND_NAME_LENGTH) == false)
                                        +
                                        921 return NNFW_STATUS_ERROR;
                                        +
                                        922
                                        +
                                        923 auto &options = *_coptions[0];
                                        +
                                        924
                                        +
                                        925 using namespace onert::util;
                                        +
                                        926
                                        +
                                        927 options.backend_list = nnfw::misc::split(std::string{backends}, ';');
                                        +
                                        928 }
                                        +
                                        929 catch (const std::exception &e)
                                        +
                                        930 {
                                        +
                                        931 std::cerr << "Error during nnfw_session::set_available_backends : " << e.what() << std::endl;
                                        +
                                        932 return NNFW_STATUS_ERROR;
                                        +
                                        933 }
                                        + +
                                        935}
                                        -
                                        #define MAX_BACKEND_NAME_LENGTH
                                        +
                                        #define MAX_BACKEND_NAME_LENGTH
                                        -

                                        References MAX_BACKEND_NAME_LENGTH, NNFW_STATUS_ERROR, NNFW_STATUS_INVALID_STATE, NNFW_STATUS_NO_ERROR, NNFW_STATUS_UNEXPECTED_NULL, and nnfw::misc::split().

                                        +

                                        References MAX_BACKEND_NAME_LENGTH, NNFW_STATUS_ERROR, NNFW_STATUS_INVALID_STATE, NNFW_STATUS_NO_ERROR, NNFW_STATUS_UNEXPECTED_NULL, and nnfw::misc::split().

                                        @@ -1447,20 +1580,62 @@

                                        Definition at line 1172 of file nnfw_api_internal.cc.

                                        -
                                        1173{
                                        -
                                        1174 if (backend_settings == NULL)
                                        -
                                        1175 return NNFW_STATUS_ERROR;
                                        -
                                        1176
                                        -
                                        1177 if (!isStateModelLoaded())
                                        - -
                                        1179
                                        -
                                        1180 // Backend for all
                                        -
                                        1181 auto &ms_options = _coptions[0]->manual_scheduler_options;
                                        -
                                        1182 ms_options.setBackendMap(std::string{backend_settings});
                                        -
                                        1183
                                        -
                                        1184 return NNFW_STATUS_NO_ERROR;
                                        -
                                        1185}
                                        +

                                        Definition at line 1187 of file nnfw_api_internal.cc.

                                        +
                                        1188{
                                        +
                                        1189 if (backend_settings == NULL)
                                        +
                                        1190 return NNFW_STATUS_ERROR;
                                        +
                                        1191
                                        +
                                        1192 if (!isStateModelLoaded())
                                        + +
                                        1194
                                        +
                                        1195 // Backend for all
                                        +
                                        1196 auto &ms_options = _coptions[0]->manual_scheduler_options;
                                        +
                                        1197 ms_options.setBackendMap(std::string{backend_settings});
                                        +
                                        1198
                                        +
                                        1199 return NNFW_STATUS_NO_ERROR;
                                        +
                                        1200}
                                        +
                                        +

                                        References NNFW_STATUS_ERROR, NNFW_STATUS_INVALID_STATE, and NNFW_STATUS_NO_ERROR.

                                        + +
                                        +

                                        + +

                                        ◆ set_codegen_model_path()

                                        + +
                                        +
                                        + + + + + + + + +
                                        NNFW_STATUS nnfw_session::set_codegen_model_path (const char * path)
                                        +
                                        + +

                                        Definition at line 1852 of file nnfw_api_internal.cc.

                                        +
                                        1853{
                                        +
                                        1854 try
                                        +
                                        1855 {
                                        +
                                        1856 if (!isStateModelLoaded())
                                        +
                                        1857 {
                                        +
                                        1858 std::cerr << "invalid state" << std::endl;
                                        + +
                                        1860 }
                                        +
                                        1861
                                        +
                                        1862 assert(_codegen_manager != nullptr);
                                        +
                                        1863 _codegen_manager->exportModelPath(std::string(path));
                                        +
                                        1864 }
                                        +
                                        1865 catch (const std::exception &e)
                                        +
                                        1866 {
                                        +
                                        1867 std::cerr << "Error during nnfw_session::set_codegen_model_path : " << e.what() << std::endl;
                                        +
                                        1868 return NNFW_STATUS_ERROR;
                                        +
                                        1869 }
                                        +
                                        1870
                                        +
                                        1871 return NNFW_STATUS_NO_ERROR;
                                        +
                                        1872}

                                        References NNFW_STATUS_ERROR, NNFW_STATUS_INVALID_STATE, and NNFW_STATUS_NO_ERROR.

                                        @@ -1492,50 +1667,50 @@

                                        -

                                        Definition at line 953 of file nnfw_api_internal.cc.

                                        -
                                        954{
                                        -
                                        955 if (!isStateModelLoaded())
                                        - -
                                        957
                                        -
                                        958 if (!key || !value)
                                        - -
                                        960
                                        -
                                        961 auto &options = *_coptions[0];
                                        -
                                        962
                                        -
                                        963 using namespace onert::util;
                                        -
                                        964
                                        -
                                        965 const std::string skey = key;
                                        -
                                        966
                                        -
                                        967 if (skey == config::TRACE_FILEPATH)
                                        -
                                        968 {
                                        -
                                        969 options.trace_filepath = value;
                                        -
                                        970 }
                                        -
                                        971 else if (skey == config::GRAPH_DOT_DUMP)
                                        -
                                        972 {
                                        -
                                        973 options.graph_dump_level = toInt(value);
                                        -
                                        974 }
                                        -
                                        975 else if (skey == config::EXECUTOR)
                                        -
                                        976 {
                                        -
                                        977 options.executor = value;
                                        -
                                        978 }
                                        -
                                        979 else if (skey == config::OP_BACKEND_ALLOPS)
                                        -
                                        980 {
                                        -
                                        981 options.manual_scheduler_options.backend_for_all = value;
                                        -
                                        982 }
                                        -
                                        983 else if (skey == config::USE_SCHEDULER)
                                        -
                                        984 {
                                        -
                                        985 options.he_scheduler = toBool(value);
                                        -
                                        986 }
                                        -
                                        987 else if (skey == config::PROFILING_MODE)
                                        -
                                        988 {
                                        -
                                        989 options.he_profiling_mode = toBool(value);
                                        -
                                        990 }
                                        -
                                        991 else
                                        -
                                        992 {
                                        -
                                        993 return NNFW_STATUS_ERROR;
                                        -
                                        994 }
                                        - -
                                        996}
                                        +

                                        Definition at line 968 of file nnfw_api_internal.cc.

                                        +
                                        969{
                                        +
                                        970 if (!isStateModelLoaded())
                                        + +
                                        972
                                        +
                                        973 if (!key || !value)
                                        + +
                                        975
                                        +
                                        976 auto &options = *_coptions[0];
                                        +
                                        977
                                        +
                                        978 using namespace onert::util;
                                        +
                                        979
                                        +
                                        980 const std::string skey = key;
                                        +
                                        981
                                        +
                                        982 if (skey == config::TRACE_FILEPATH)
                                        +
                                        983 {
                                        +
                                        984 options.trace_filepath = value;
                                        +
                                        985 }
                                        +
                                        986 else if (skey == config::GRAPH_DOT_DUMP)
                                        +
                                        987 {
                                        +
                                        988 options.graph_dump_level = toInt(value);
                                        +
                                        989 }
                                        +
                                        990 else if (skey == config::EXECUTOR)
                                        +
                                        991 {
                                        +
                                        992 options.executor = value;
                                        +
                                        993 }
                                        +
                                        994 else if (skey == config::OP_BACKEND_ALLOPS)
                                        +
                                        995 {
                                        +
                                        996 options.manual_scheduler_options.backend_for_all = value;
                                        +
                                        997 }
                                        +
                                        998 else if (skey == config::USE_SCHEDULER)
                                        +
                                        999 {
                                        +
                                        1000 options.he_scheduler = toBool(value);
                                        +
                                        1001 }
                                        +
                                        1002 else if (skey == config::PROFILING_MODE)
                                        +
                                        1003 {
                                        +
                                        1004 options.he_profiling_mode = toBool(value);
                                        +
                                        1005 }
                                        +
                                        1006 else
                                        +
                                        1007 {
                                        +
                                        1008 return NNFW_STATUS_ERROR;
                                        +
                                        1009 }
                                        +
                                        1010 return NNFW_STATUS_NO_ERROR;
                                        +
                                        1011}
                                        int toInt(const std::string &val)
                                        bool toBool(const std::string &val)
                                        @@ -1581,33 +1756,33 @@

                                        -

                                        Definition at line 561 of file nnfw_api_internal.cc.

                                        -
                                        563{
                                        -
                                        564 if (!isStatePreparedOrFinishedRun())
                                        -
                                        565 {
                                        -
                                        566 std::cerr << "Error during nnfw_session::set_input : invalid state" << std::endl;
                                        - -
                                        568 }
                                        -
                                        569
                                        -
                                        570 if (!buffer && length != 0)
                                        -
                                        571 {
                                        -
                                        572 std::cerr
                                        -
                                        573 << "Error during nnfw_session::set_input : given buffer is NULL but the length is not 0"
                                        -
                                        574 << std::endl;
                                        -
                                        575 return NNFW_STATUS_ERROR;
                                        -
                                        576 }
                                        -
                                        577
                                        -
                                        578 try
                                        -
                                        579 {
                                        -
                                        580 _execution->setInput(onert::ir::IOIndex(index), buffer, length);
                                        -
                                        581 }
                                        -
                                        582 catch (const std::exception &e)
                                        -
                                        583 {
                                        -
                                        584 std::cerr << "Error during nnfw_session::set_input : " << e.what() << std::endl;
                                        -
                                        585 return NNFW_STATUS_ERROR;
                                        -
                                        586 }
                                        - -
                                        588}
                                        +

                                        Definition at line 576 of file nnfw_api_internal.cc.

                                        +
                                        578{
                                        +
                                        579 if (!isStatePreparedOrFinishedRun())
                                        +
                                        580 {
                                        +
                                        581 std::cerr << "Error during nnfw_session::set_input : invalid state" << std::endl;
                                        + +
                                        583 }
                                        +
                                        584
                                        +
                                        585 if (!buffer && length != 0)
                                        +
                                        586 {
                                        +
                                        587 std::cerr
                                        +
                                        588 << "Error during nnfw_session::set_input : given buffer is NULL but the length is not 0"
                                        +
                                        589 << std::endl;
                                        +
                                        590 return NNFW_STATUS_ERROR;
                                        +
                                        591 }
                                        +
                                        592
                                        +
                                        593 try
                                        +
                                        594 {
                                        +
                                        595 _execution->setInput(onert::ir::IOIndex(index), buffer, length);
                                        +
                                        596 }
                                        +
                                        597 catch (const std::exception &e)
                                        +
                                        598 {
                                        +
                                        599 std::cerr << "Error during nnfw_session::set_input : " << e.what() << std::endl;
                                        +
                                        600 return NNFW_STATUS_ERROR;
                                        +
                                        601 }
                                        + +
                                        603}

                                        References NNFW_STATUS_ERROR, NNFW_STATUS_INVALID_STATE, and NNFW_STATUS_NO_ERROR.

                                        @@ -1641,33 +1816,33 @@

                                        -

                                        Definition at line 663 of file nnfw_api_internal.cc.

                                        -
                                        664{
                                        -
                                        665 if (!isStatePreparedOrFinishedRun())
                                        -
                                        666 {
                                        -
                                        667 std::cerr << "Error during nnfw_session::set_input_layout : "
                                        -
                                        668 << "run should be run after prepare" << std::endl;
                                        - -
                                        670 }
                                        -
                                        671
                                        -
                                        672 try
                                        -
                                        673 {
                                        -
                                        674 if (layout != NNFW_LAYOUT_NONE && layout != NNFW_LAYOUT_CHANNELS_FIRST &&
                                        - -
                                        676 {
                                        -
                                        677 std::cerr << "Error during nnfw_session::set_input_layout, not supported layout" << std::endl;
                                        -
                                        678 return NNFW_STATUS_ERROR;
                                        -
                                        679 }
                                        -
                                        680
                                        -
                                        681 _execution->setInputLayout(onert::ir::IOIndex(index), convertLayout(layout));
                                        -
                                        682 }
                                        -
                                        683 catch (const std::exception &e)
                                        -
                                        684 {
                                        -
                                        685 std::cerr << "Error during nnfw_session::set_input_layout : " << e.what() << std::endl;
                                        -
                                        686 return NNFW_STATUS_ERROR;
                                        -
                                        687 }
                                        - -
                                        689}
                                        +

                                        Definition at line 678 of file nnfw_api_internal.cc.

                                        +
                                        679{
                                        +
                                        680 if (!isStatePreparedOrFinishedRun())
                                        +
                                        681 {
                                        +
                                        682 std::cerr << "Error during nnfw_session::set_input_layout : "
                                        +
                                        683 << "run should be run after prepare" << std::endl;
                                        + +
                                        685 }
                                        +
                                        686
                                        +
                                        687 try
                                        +
                                        688 {
                                        +
                                        689 if (layout != NNFW_LAYOUT_NONE && layout != NNFW_LAYOUT_CHANNELS_FIRST &&
                                        + +
                                        691 {
                                        +
                                        692 std::cerr << "Error during nnfw_session::set_input_layout, not supported layout" << std::endl;
                                        +
                                        693 return NNFW_STATUS_ERROR;
                                        +
                                        694 }
                                        +
                                        695
                                        +
                                        696 _execution->setInputLayout(onert::ir::IOIndex(index), convertLayout(layout));
                                        +
                                        697 }
                                        +
                                        698 catch (const std::exception &e)
                                        +
                                        699 {
                                        +
                                        700 std::cerr << "Error during nnfw_session::set_input_layout : " << e.what() << std::endl;
                                        +
                                        701 return NNFW_STATUS_ERROR;
                                        +
                                        702 }
                                        + +
                                        704}
                                        @ NNFW_LAYOUT_CHANNELS_LAST
                                        Definition nnfw.h:139
                                        @ NNFW_LAYOUT_CHANNELS_FIRST
                                        Definition nnfw.h:144
                                        @ NNFW_LAYOUT_NONE
                                        Definition nnfw.h:134
                                        @@ -1702,15 +1877,15 @@

                                        -

                                        Definition at line 763 of file nnfw_api_internal.cc.

                                        -
                                        764{
                                        -
                                        765 nnfw_tensorinfo ti_copy = *ti;
                                        -
                                        766 return apply_tensorinfo(index, ti_copy);
                                        -
                                        767}
                                        -
                                        NNFW_STATUS apply_tensorinfo(uint32_t index, nnfw_tensorinfo ti)
                                        +

                                        Definition at line 778 of file nnfw_api_internal.cc.

                                        +
                                        779{
                                        +
                                        780 nnfw_tensorinfo ti_copy = *ti;
                                        +
                                        781 return apply_tensorinfo(index, ti_copy);
                                        +
                                        782}
                                        +
                                        NNFW_STATUS apply_tensorinfo(uint32_t index, nnfw_tensorinfo ti)
                                        tensor info describes the type and shape of tensors
                                        Definition nnfw.h:176
                                        -

                                        References apply_tensorinfo().

                                        +

                                        References apply_tensorinfo().

                                        @@ -1740,40 +1915,40 @@

                                        -

                                        Definition at line 922 of file nnfw_api_internal.cc.

                                        -
                                        923{
                                        -
                                        924 if (!isStateModelLoaded())
                                        - -
                                        926
                                        -
                                        927 try
                                        -
                                        928 {
                                        -
                                        929 if (!op || !backend)
                                        - -
                                        931 if (!null_terminating(op, MAX_OP_NAME_LENGTH) ||
                                        -
                                        932 !null_terminating(backend, MAX_BACKEND_NAME_LENGTH))
                                        -
                                        933 return NNFW_STATUS_ERROR;
                                        -
                                        934
                                        -
                                        935 auto key = get_op_backend_string(op);
                                        -
                                        936
                                        -
                                        937 if (key.empty())
                                        -
                                        938 {
                                        -
                                        939 return NNFW_STATUS_ERROR;
                                        -
                                        940 }
                                        +

                                        Definition at line 937 of file nnfw_api_internal.cc.

                                        +
                                        938{
                                        +
                                        939 if (!isStateModelLoaded())
                                        +
                                        941
                                        -
                                        942 auto &opcode_to_backend = _coptions[0]->manual_scheduler_options.opcode_to_backend;
                                        -
                                        943 opcode_to_backend.emplace(onert::ir::toOpCode(key), backend);
                                        -
                                        944 }
                                        -
                                        945 catch (const std::exception &e)
                                        -
                                        946 {
                                        -
                                        947 std::cerr << "Error during nnfw_session::set_op_backend : " << e.what() << std::endl;
                                        -
                                        948 return NNFW_STATUS_ERROR;
                                        -
                                        949 }
                                        - -
                                        951}
                                        +
                                        942 try
                                        +
                                        943 {
                                        +
                                        944 if (!op || !backend)
                                        + +
                                        946 if (!null_terminating(op, MAX_OP_NAME_LENGTH) ||
                                        +
                                        947 !null_terminating(backend, MAX_BACKEND_NAME_LENGTH))
                                        +
                                        948 return NNFW_STATUS_ERROR;
                                        +
                                        949
                                        +
                                        950 auto key = get_op_backend_string(op);
                                        +
                                        951
                                        +
                                        952 if (key.empty())
                                        +
                                        953 {
                                        +
                                        954 return NNFW_STATUS_ERROR;
                                        +
                                        955 }
                                        +
                                        956
                                        +
                                        957 auto &opcode_to_backend = _coptions[0]->manual_scheduler_options.opcode_to_backend;
                                        +
                                        958 opcode_to_backend.emplace(onert::ir::toOpCode(key), backend);
                                        +
                                        959 }
                                        +
                                        960 catch (const std::exception &e)
                                        +
                                        961 {
                                        +
                                        962 std::cerr << "Error during nnfw_session::set_op_backend : " << e.what() << std::endl;
                                        +
                                        963 return NNFW_STATUS_ERROR;
                                        +
                                        964 }
                                        + +
                                        966}
                                        OpCode toOpCode(const std::string str)
                                        Definition OpCode.cc:36
                                        -
                                        #define MAX_OP_NAME_LENGTH
                                        +
                                        #define MAX_OP_NAME_LENGTH
                                        -

                                        References MAX_BACKEND_NAME_LENGTH, MAX_OP_NAME_LENGTH, NNFW_STATUS_ERROR, NNFW_STATUS_INVALID_STATE, NNFW_STATUS_NO_ERROR, NNFW_STATUS_UNEXPECTED_NULL, and onert::ir::toOpCode().

                                        +

                                        References MAX_BACKEND_NAME_LENGTH, MAX_OP_NAME_LENGTH, NNFW_STATUS_ERROR, NNFW_STATUS_INVALID_STATE, NNFW_STATUS_NO_ERROR, NNFW_STATUS_UNEXPECTED_NULL, and onert::ir::toOpCode().

                                        @@ -1815,33 +1990,33 @@

                                        -

                                        Definition at line 590 of file nnfw_api_internal.cc.

                                        -
                                        592{
                                        -
                                        593 if (!isStatePreparedOrFinishedRun())
                                        -
                                        594 {
                                        -
                                        595 std::cerr << "Error during nnfw_session::set_output : invalid state" << std::endl;
                                        - -
                                        597 }
                                        -
                                        598
                                        -
                                        599 if (!buffer && length != 0)
                                        -
                                        600 {
                                        -
                                        601 std::cerr
                                        -
                                        602 << "Error during nnfw_session::set_output : given buffer is NULL but the length is not 0"
                                        -
                                        603 << std::endl;
                                        -
                                        604 return NNFW_STATUS_ERROR;
                                        -
                                        605 }
                                        -
                                        606
                                        -
                                        607 try
                                        -
                                        608 {
                                        -
                                        609 _execution->setOutput(onert::ir::IOIndex(index), buffer, length);
                                        -
                                        610 }
                                        -
                                        611 catch (const std::exception &e)
                                        -
                                        612 {
                                        -
                                        613 std::cerr << "Error during nnfw_session::set_output : " << e.what() << std::endl;
                                        -
                                        614 return NNFW_STATUS_ERROR;
                                        -
                                        615 }
                                        - -
                                        617}
                                        +

                                        Definition at line 605 of file nnfw_api_internal.cc.

                                        +
                                        607{
                                        +
                                        608 if (!isStatePreparedOrFinishedRun())
                                        +
                                        609 {
                                        +
                                        610 std::cerr << "Error during nnfw_session::set_output : invalid state" << std::endl;
                                        + +
                                        612 }
                                        +
                                        613
                                        +
                                        614 if (!buffer && length != 0)
                                        +
                                        615 {
                                        +
                                        616 std::cerr
                                        +
                                        617 << "Error during nnfw_session::set_output : given buffer is NULL but the length is not 0"
                                        +
                                        618 << std::endl;
                                        +
                                        619 return NNFW_STATUS_ERROR;
                                        +
                                        620 }
                                        +
                                        621
                                        +
                                        622 try
                                        +
                                        623 {
                                        +
                                        624 _execution->setOutput(onert::ir::IOIndex(index), buffer, length);
                                        +
                                        625 }
                                        +
                                        626 catch (const std::exception &e)
                                        +
                                        627 {
                                        +
                                        628 std::cerr << "Error during nnfw_session::set_output : " << e.what() << std::endl;
                                        +
                                        629 return NNFW_STATUS_ERROR;
                                        +
                                        630 }
                                        + +
                                        632}

                                        References NNFW_STATUS_ERROR, NNFW_STATUS_INVALID_STATE, and NNFW_STATUS_NO_ERROR.

                                        @@ -1875,34 +2050,34 @@

                                        -

                                        Definition at line 691 of file nnfw_api_internal.cc.

                                        -
                                        692{
                                        -
                                        693 if (!isStatePreparedOrFinishedRun())
                                        -
                                        694 {
                                        -
                                        695 std::cerr << "Error during nnfw_session::set_output_layout : "
                                        -
                                        696 << "run should be run after prepare" << std::endl;
                                        - -
                                        698 }
                                        -
                                        699
                                        -
                                        700 try
                                        -
                                        701 {
                                        -
                                        702 if (layout != NNFW_LAYOUT_NONE && layout != NNFW_LAYOUT_CHANNELS_FIRST &&
                                        - -
                                        704 {
                                        -
                                        705 std::cerr << "Error during nnfw_session::set_output_layout, not supported layout"
                                        -
                                        706 << std::endl;
                                        -
                                        707 return NNFW_STATUS_ERROR;
                                        -
                                        708 }
                                        -
                                        709
                                        -
                                        710 _execution->setOutputLayout(onert::ir::IOIndex(index), convertLayout(layout));
                                        -
                                        711 }
                                        -
                                        712 catch (const std::exception &e)
                                        -
                                        713 {
                                        -
                                        714 std::cerr << "Error during nnfw_session::set_output_layout : " << e.what() << std::endl;
                                        -
                                        715 return NNFW_STATUS_ERROR;
                                        -
                                        716 }
                                        - -
                                        718}
                                        +

                                        Definition at line 706 of file nnfw_api_internal.cc.

                                        +
                                        707{
                                        +
                                        708 if (!isStatePreparedOrFinishedRun())
                                        +
                                        709 {
                                        +
                                        710 std::cerr << "Error during nnfw_session::set_output_layout : "
                                        +
                                        711 << "run should be run after prepare" << std::endl;
                                        + +
                                        713 }
                                        +
                                        714
                                        +
                                        715 try
                                        +
                                        716 {
                                        +
                                        717 if (layout != NNFW_LAYOUT_NONE && layout != NNFW_LAYOUT_CHANNELS_FIRST &&
                                        + +
                                        719 {
                                        +
                                        720 std::cerr << "Error during nnfw_session::set_output_layout, not supported layout"
                                        +
                                        721 << std::endl;
                                        +
                                        722 return NNFW_STATUS_ERROR;
                                        +
                                        723 }
                                        +
                                        724
                                        +
                                        725 _execution->setOutputLayout(onert::ir::IOIndex(index), convertLayout(layout));
                                        +
                                        726 }
                                        +
                                        727 catch (const std::exception &e)
                                        +
                                        728 {
                                        +
                                        729 std::cerr << "Error during nnfw_session::set_output_layout : " << e.what() << std::endl;
                                        +
                                        730 return NNFW_STATUS_ERROR;
                                        +
                                        731 }
                                        + +
                                        733}

                                        References NNFW_LAYOUT_CHANNELS_FIRST, NNFW_LAYOUT_CHANNELS_LAST, NNFW_LAYOUT_NONE, NNFW_STATUS_ERROR, NNFW_STATUS_INVALID_STATE, and NNFW_STATUS_NO_ERROR.

                                        @@ -1924,37 +2099,37 @@

                                        -

                                        Definition at line 1753 of file nnfw_api_internal.cc.

                                        -
                                        1754{
                                        -
                                        1755 try
                                        -
                                        1756 {
                                        -
                                        1757 if (!isStateModelLoaded())
                                        -
                                        1758 {
                                        -
                                        1759 std::cerr << "invalid state" << std::endl;
                                        - -
                                        1761 }
                                        -
                                        1762
                                        -
                                        1763 bool is_q16 = false;
                                        -
                                        1764 switch (qtype)
                                        -
                                        1765 {
                                        - -
                                        1767 break;
                                        - -
                                        1769 is_q16 = true;
                                        -
                                        1770 break;
                                        -
                                        1771 default:
                                        - -
                                        1773 }
                                        -
                                        1774 _quant_manager->quantizeType(is_q16);
                                        -
                                        1775 }
                                        -
                                        1776 catch (const std::exception &e)
                                        -
                                        1777 {
                                        -
                                        1778 std::cerr << "Error during nnfw_session::set_quantization_type : " << e.what() << std::endl;
                                        -
                                        1779 return NNFW_STATUS_ERROR;
                                        -
                                        1780 }
                                        -
                                        1781
                                        -
                                        1782 return NNFW_STATUS_NO_ERROR;
                                        -
                                        1783}
                                        +

                                        Definition at line 1768 of file nnfw_api_internal.cc.

                                        +
                                        1769{
                                        +
                                        1770 try
                                        +
                                        1771 {
                                        +
                                        1772 if (!isStateModelLoaded())
                                        +
                                        1773 {
                                        +
                                        1774 std::cerr << "invalid state" << std::endl;
                                        + +
                                        1776 }
                                        +
                                        1777
                                        +
                                        1778 bool is_q16 = false;
                                        +
                                        1779 switch (qtype)
                                        +
                                        1780 {
                                        + +
                                        1782 break;
                                        + +
                                        1784 is_q16 = true;
                                        +
                                        1785 break;
                                        +
                                        1786 default:
                                        + +
                                        1788 }
                                        +
                                        1789 _quant_manager->quantizeType(is_q16);
                                        +
                                        1790 }
                                        +
                                        1791 catch (const std::exception &e)
                                        +
                                        1792 {
                                        +
                                        1793 std::cerr << "Error during nnfw_session::set_quantization_type : " << e.what() << std::endl;
                                        +
                                        1794 return NNFW_STATUS_ERROR;
                                        +
                                        1795 }
                                        +
                                        1796
                                        +
                                        1797 return NNFW_STATUS_NO_ERROR;
                                        +
                                        1798}
                                        @ NNFW_QUANTIZE_TYPE_U8_ASYM
                                        @ NNFW_QUANTIZE_TYPE_I16_SYM
                                        @@ -1978,26 +2153,26 @@

                                        -

                                        Definition at line 1785 of file nnfw_api_internal.cc.

                                        -
                                        1786{
                                        -
                                        1787 try
                                        -
                                        1788 {
                                        -
                                        1789 if (!isStateModelLoaded())
                                        -
                                        1790 {
                                        -
                                        1791 std::cerr << "invalid state" << std::endl;
                                        - -
                                        1793 }
                                        -
                                        1794
                                        -
                                        1795 _quant_manager->exportModelPath(std::string(path));
                                        -
                                        1796 }
                                        -
                                        1797 catch (const std::exception &e)
                                        -
                                        1798 {
                                        -
                                        1799 std::cerr << "Error during nnfw_session::set_quantized_model_path : " << e.what() << std::endl;
                                        -
                                        1800 return NNFW_STATUS_ERROR;
                                        -
                                        1801 }
                                        -
                                        1802
                                        -
                                        1803 return NNFW_STATUS_NO_ERROR;
                                        -
                                        1804}
                                        +

                                        Definition at line 1800 of file nnfw_api_internal.cc.

                                        +
                                        1801{
                                        +
                                        1802 try
                                        +
                                        1803 {
                                        +
                                        1804 if (!isStateModelLoaded())
                                        +
                                        1805 {
                                        +
                                        1806 std::cerr << "invalid state" << std::endl;
                                        + +
                                        1808 }
                                        +
                                        1809
                                        +
                                        1810 _quant_manager->exportModelPath(std::string(path));
                                        +
                                        1811 }
                                        +
                                        1812 catch (const std::exception &e)
                                        +
                                        1813 {
                                        +
                                        1814 std::cerr << "Error during nnfw_session::set_quantized_model_path : " << e.what() << std::endl;
                                        +
                                        1815 return NNFW_STATUS_ERROR;
                                        +
                                        1816 }
                                        +
                                        1817
                                        +
                                        1818 return NNFW_STATUS_NO_ERROR;
                                        +
                                        1819}

                                        References NNFW_STATUS_ERROR, NNFW_STATUS_INVALID_STATE, and NNFW_STATUS_NO_ERROR.

                                        @@ -2029,22 +2204,22 @@

                                        -

                                        Definition at line 1394 of file nnfw_api_internal.cc.

                                        -
                                        1395{
                                        -
                                        1396 if (!isStatePreparedOrFinishedTraining())
                                        -
                                        1397 {
                                        -
                                        1398 std::cerr << "Error during nnfw_session::train_expected_tensorinfo : invalid state"
                                        -
                                        1399 << std::endl;
                                        - -
                                        1401 }
                                        -
                                        1402
                                        -
                                        1403 // Check index is valid: [0, getExpectedSize())
                                        -
                                        1404
                                        -
                                        1405 // NYI
                                        -
                                        1406 (void)index;
                                        -
                                        1407 (void)ti;
                                        -
                                        1408 return NNFW_STATUS_ERROR;
                                        -
                                        1409}
                                        +

                                        Definition at line 1409 of file nnfw_api_internal.cc.

                                        +
                                        1410{
                                        +
                                        1411 if (!isStatePreparedOrFinishedTraining())
                                        +
                                        1412 {
                                        +
                                        1413 std::cerr << "Error during nnfw_session::train_expected_tensorinfo : invalid state"
                                        +
                                        1414 << std::endl;
                                        + +
                                        1416 }
                                        +
                                        1417
                                        +
                                        1418 // Check index is valid: [0, getExpectedSize())
                                        +
                                        1419
                                        +
                                        1420 // NYI
                                        +
                                        1421 (void)index;
                                        +
                                        1422 (void)ti;
                                        +
                                        1423 return NNFW_STATUS_ERROR;
                                        +
                                        1424}

                                        References NNFW_STATUS_ERROR, and NNFW_STATUS_INVALID_STATE.

                                        @@ -2066,124 +2241,124 @@

                                        -

                                        Definition at line 1603 of file nnfw_api_internal.cc.

                                        -
                                        1604{
                                        -
                                        1605 if (path == nullptr)
                                        -
                                        1606 {
                                        -
                                        1607 std::cerr << "Error during nnfw_session::train_export_circle : path is null" << std::endl;
                                        - -
                                        1609 }
                                        -
                                        1610
                                        -
                                        1611 // Check training mode is enabled
                                        -
                                        1612 if (!isStateFinishedTraining())
                                        -
                                        1613 {
                                        -
                                        1614 std::cerr << "Error during nnfw_session::train_export_circle : invalid state" << std::endl;
                                        - -
                                        1616 }
                                        -
                                        1617
                                        -
                                        1618 class MMappedFile
                                        -
                                        1619 {
                                        -
                                        1620 public:
                                        -
                                        1621 MMappedFile(const char *filename) { _fd = open(filename, O_RDWR); }
                                        -
                                        1622
                                        -
                                        1623 bool ensure_mmap()
                                        -
                                        1624 {
                                        -
                                        1625 struct stat file_stat;
                                        -
                                        1626 if (fstat(_fd, &file_stat) != 0 || file_stat.st_size < 0 ||
                                        -
                                        1627 static_cast<uint64_t>(file_stat.st_size) > SIZE_MAX)
                                        -
                                        1628 return false;
                                        -
                                        1629
                                        -
                                        1630 _buf_sz = static_cast<size_t>(file_stat.st_size);
                                        -
                                        1631 _buf = mmap(NULL, _buf_sz, PROT_READ | PROT_WRITE, MAP_SHARED, _fd, 0);
                                        -
                                        1632 return _buf != MAP_FAILED;
                                        -
                                        1633 }
                                        -
                                        1634
                                        -
                                        1635 bool sync() { return msync(_buf, _buf_sz, MS_SYNC) == 0; }
                                        -
                                        1636
                                        -
                                        1637 bool close()
                                        -
                                        1638 {
                                        -
                                        1639 bool ret = false;
                                        -
                                        1640 if (_buf != MAP_FAILED)
                                        -
                                        1641 {
                                        -
                                        1642 ret = munmap(_buf, _buf_sz) == 0;
                                        -
                                        1643 _buf = MAP_FAILED; // mark as cleaned up
                                        -
                                        1644 }
                                        -
                                        1645 if (_fd != -1)
                                        -
                                        1646 {
                                        -
                                        1647 ::close(_fd);
                                        -
                                        1648 _fd = -1; // mark as cleaned up
                                        -
                                        1649 }
                                        -
                                        1650 return ret;
                                        -
                                        1651 }
                                        -
                                        1652
                                        -
                                        1653 ~MMappedFile() { close(); }
                                        -
                                        1654
                                        -
                                        1655 uint8_t *buf() const { return static_cast<uint8_t *>(_buf); }
                                        -
                                        1656 size_t buf_size() const { return _buf_sz; }
                                        -
                                        1657
                                        -
                                        1658 private:
                                        -
                                        1659 int _fd;
                                        -
                                        1660 void *_buf = MAP_FAILED;
                                        -
                                        1661 size_t _buf_sz = 0;
                                        -
                                        1662 };
                                        -
                                        1663
                                        -
                                        1664 MMappedFile mmapfile(path);
                                        -
                                        1665 if (!mmapfile.ensure_mmap())
                                        -
                                        1666 return NNFW_STATUS_ERROR;
                                        +

                                        Definition at line 1618 of file nnfw_api_internal.cc.

                                        +
                                        1619{
                                        +
                                        1620 if (path == nullptr)
                                        +
                                        1621 {
                                        +
                                        1622 std::cerr << "Error during nnfw_session::train_export_circle : path is null" << std::endl;
                                        + +
                                        1624 }
                                        +
                                        1625
                                        +
                                        1626 // Check training mode is enabled
                                        +
                                        1627 if (!isStateFinishedTraining())
                                        +
                                        1628 {
                                        +
                                        1629 std::cerr << "Error during nnfw_session::train_export_circle : invalid state" << std::endl;
                                        + +
                                        1631 }
                                        +
                                        1632
                                        +
                                        1633 class MMappedFile
                                        +
                                        1634 {
                                        +
                                        1635 public:
                                        +
                                        1636 MMappedFile(const char *filename) { _fd = open(filename, O_RDWR); }
                                        +
                                        1637
                                        +
                                        1638 bool ensure_mmap()
                                        +
                                        1639 {
                                        +
                                        1640 struct stat file_stat;
                                        +
                                        1641 if (fstat(_fd, &file_stat) != 0 || file_stat.st_size < 0 ||
                                        +
                                        1642 static_cast<uint64_t>(file_stat.st_size) > SIZE_MAX)
                                        +
                                        1643 return false;
                                        +
                                        1644
                                        +
                                        1645 _buf_sz = static_cast<size_t>(file_stat.st_size);
                                        +
                                        1646 _buf = mmap(NULL, _buf_sz, PROT_READ | PROT_WRITE, MAP_SHARED, _fd, 0);
                                        +
                                        1647 return _buf != MAP_FAILED;
                                        +
                                        1648 }
                                        +
                                        1649
                                        +
                                        1650 bool sync() { return msync(_buf, _buf_sz, MS_SYNC) == 0; }
                                        +
                                        1651
                                        +
                                        1652 bool close()
                                        +
                                        1653 {
                                        +
                                        1654 bool ret = false;
                                        +
                                        1655 if (_buf != MAP_FAILED)
                                        +
                                        1656 {
                                        +
                                        1657 ret = munmap(_buf, _buf_sz) == 0;
                                        +
                                        1658 _buf = MAP_FAILED; // mark as cleaned up
                                        +
                                        1659 }
                                        +
                                        1660 if (_fd != -1)
                                        +
                                        1661 {
                                        +
                                        1662 ::close(_fd);
                                        +
                                        1663 _fd = -1; // mark as cleaned up
                                        +
                                        1664 }
                                        +
                                        1665 return ret;
                                        +
                                        1666 }
                                        1667
                                        -
                                        1668 // make sure the architecture is little endian before direct access to flatbuffers
                                        -
                                        1669 assert(FLATBUFFERS_LITTLEENDIAN);
                                        -
                                        1670
                                        -
                                        1671 try
                                        -
                                        1672 {
                                        -
                                        1673 _execution->iterateTrainableTensors([&](const onert::ir::OperandIndex &idx,
                                        - -
                                        1675 auto model = ::circle::GetModel(mmapfile.buf());
                                        -
                                        1676 if (!model)
                                        -
                                        1677 throw std::runtime_error("Failed to get model from circle");
                                        +
                                        1668 ~MMappedFile() { close(); }
                                        +
                                        1669
                                        +
                                        1670 uint8_t *buf() const { return static_cast<uint8_t *>(_buf); }
                                        +
                                        1671 size_t buf_size() const { return _buf_sz; }
                                        +
                                        1672
                                        +
                                        1673 private:
                                        +
                                        1674 int _fd;
                                        +
                                        1675 void *_buf = MAP_FAILED;
                                        +
                                        1676 size_t _buf_sz = 0;
                                        +
                                        1677 };
                                        1678
                                        -
                                        1679 auto subgs = model->subgraphs();
                                        -
                                        1680 if (!subgs || subgs->size() != 1)
                                        -
                                        1681 throw std::runtime_error("Circle does not has valid subgraph or has multiple subgraphs");
                                        +
                                        1679 MMappedFile mmapfile(path);
                                        +
                                        1680 if (!mmapfile.ensure_mmap())
                                        +
                                        1681 return NNFW_STATUS_ERROR;
                                        1682
                                        -
                                        1683 auto subg = subgs->Get(0); // Get 1st subgraph
                                        -
                                        1684 if (!idx.valid() || idx.value() >= subg->tensors()->size())
                                        -
                                        1685 throw std::runtime_error("Trainable tensor index is out of range");
                                        -
                                        1686
                                        -
                                        1687 auto buf_idx = subg->tensors()->Get(idx.value())->buffer();
                                        -
                                        1688 const ::circle::Buffer *buffer = (*model->buffers())[buf_idx];
                                        -
                                        1689 if (!buffer || !buffer->data())
                                        -
                                        1690 throw std::runtime_error("Buffer for trainable tensors is invalid");
                                        -
                                        1691
                                        -
                                        1692 const flatbuffers::Vector<uint8_t> *array = buffer->data();
                                        -
                                        1693 if (!array)
                                        -
                                        1694 throw std::runtime_error("Data for trainable tensor's buffer is invalid");
                                        -
                                        1695
                                        -
                                        1696 auto org_buf_sz = array->size();
                                        -
                                        1697 if (org_buf_sz != tensor->total_size())
                                        -
                                        1698 throw std::runtime_error("Trained tensor buffer size does not match original tensor's one");
                                        -
                                        1699
                                        -
                                        1700 uint8_t *org_buf = const_cast<uint8_t *>(array->Data());
                                        -
                                        1701 if (!org_buf)
                                        -
                                        1702 throw std::runtime_error("Data for trainable tensor's buffer is invalid");
                                        -
                                        1703
                                        -
                                        1704 memcpy(const_cast<uint8_t *>(org_buf), tensor->buffer(), org_buf_sz);
                                        -
                                        1705 });
                                        -
                                        1706 }
                                        -
                                        1707 catch (const std::exception &e)
                                        -
                                        1708 {
                                        -
                                        1709 std::cerr << "Error during nnfw_session::train_export_circle : " << e.what() << std::endl;
                                        -
                                        1710 return NNFW_STATUS_ERROR;
                                        -
                                        1711 }
                                        -
                                        1712
                                        -
                                        1713 if (mmapfile.sync() == false)
                                        -
                                        1714 return NNFW_STATUS_ERROR;
                                        -
                                        1715
                                        -
                                        1716 if (mmapfile.close() == false)
                                        -
                                        1717 return NNFW_STATUS_ERROR;
                                        +
                                        1683 // make sure the architecture is little endian before direct access to flatbuffers
                                        +
                                        1684 assert(FLATBUFFERS_LITTLEENDIAN);
                                        +
                                        1685
                                        +
                                        1686 try
                                        +
                                        1687 {
                                        +
                                        1688 _execution->iterateTrainableTensors([&](const onert::ir::OperandIndex &idx,
                                        + +
                                        1690 auto model = ::circle::GetModel(mmapfile.buf());
                                        +
                                        1691 if (!model)
                                        +
                                        1692 throw std::runtime_error("Failed to get model from circle");
                                        +
                                        1693
                                        +
                                        1694 auto subgs = model->subgraphs();
                                        +
                                        1695 if (!subgs || subgs->size() != 1)
                                        +
                                        1696 throw std::runtime_error("Circle does not has valid subgraph or has multiple subgraphs");
                                        +
                                        1697
                                        +
                                        1698 auto subg = subgs->Get(0); // Get 1st subgraph
                                        +
                                        1699 if (!idx.valid() || idx.value() >= subg->tensors()->size())
                                        +
                                        1700 throw std::runtime_error("Trainable tensor index is out of range");
                                        +
                                        1701
                                        +
                                        1702 auto buf_idx = subg->tensors()->Get(idx.value())->buffer();
                                        +
                                        1703 const ::circle::Buffer *buffer = (*model->buffers())[buf_idx];
                                        +
                                        1704 if (!buffer || !buffer->data())
                                        +
                                        1705 throw std::runtime_error("Buffer for trainable tensors is invalid");
                                        +
                                        1706
                                        +
                                        1707 const flatbuffers::Vector<uint8_t> *array = buffer->data();
                                        +
                                        1708 if (!array)
                                        +
                                        1709 throw std::runtime_error("Data for trainable tensor's buffer is invalid");
                                        +
                                        1710
                                        +
                                        1711 auto org_buf_sz = array->size();
                                        +
                                        1712 if (org_buf_sz != tensor->total_size())
                                        +
                                        1713 throw std::runtime_error("Trained tensor buffer size does not match original tensor's one");
                                        +
                                        1714
                                        +
                                        1715 uint8_t *org_buf = const_cast<uint8_t *>(array->Data());
                                        +
                                        1716 if (!org_buf)
                                        +
                                        1717 throw std::runtime_error("Data for trainable tensor's buffer is invalid");
                                        1718
                                        -
                                        1719 return NNFW_STATUS_NO_ERROR;
                                        -
                                        1720}
                                        +
                                        1719 memcpy(const_cast<uint8_t *>(org_buf), tensor->buffer(), org_buf_sz);
                                        +
                                        1720 });
                                        +
                                        1721 }
                                        +
                                        1722 catch (const std::exception &e)
                                        +
                                        1723 {
                                        +
                                        1724 std::cerr << "Error during nnfw_session::train_export_circle : " << e.what() << std::endl;
                                        +
                                        1725 return NNFW_STATUS_ERROR;
                                        +
                                        1726 }
                                        +
                                        1727
                                        +
                                        1728 if (mmapfile.sync() == false)
                                        +
                                        1729 return NNFW_STATUS_ERROR;
                                        +
                                        1730
                                        +
                                        1731 if (mmapfile.close() == false)
                                        +
                                        1732 return NNFW_STATUS_ERROR;
                                        +
                                        1733
                                        +
                                        1734 return NNFW_STATUS_NO_ERROR;
                                        +
                                        1735}
                                        uoffset_t size() const
                                        const uint8_t * Data() const
                                        @@ -2224,39 +2399,39 @@

                                        -

                                        Definition at line 1569 of file nnfw_api_internal.cc.

                                        -
                                        1570{
                                        -
                                        1571 if (loss == nullptr)
                                        -
                                        1572 {
                                        -
                                        1573 std::cerr << "Error during nnfw_session::train_get_loss : loss is null" << std::endl;
                                        - -
                                        1575 }
                                        -
                                        1576
                                        -
                                        1577 if (!isStateFinishedTraining())
                                        -
                                        1578 {
                                        -
                                        1579 std::cerr << "Error during nnfw_session::train_get_loss : invalid state" << std::endl;
                                        - -
                                        1581 }
                                        -
                                        1582
                                        -
                                        1583 if (index >= getOutputSize())
                                        -
                                        1584 {
                                        -
                                        1585 std::cerr << "Error during nnfw_session::train_get_loss : index is out of range" << std::endl;
                                        -
                                        1586 return NNFW_STATUS_ERROR;
                                        -
                                        1587 }
                                        -
                                        1588
                                        -
                                        1589 try
                                        -
                                        1590 {
                                        -
                                        1591 auto ind = onert::ir::IOIndex(index);
                                        -
                                        1592 *loss = _execution->getLoss(ind);
                                        -
                                        1593 }
                                        -
                                        1594 catch (const std::exception &e)
                                        -
                                        1595 {
                                        -
                                        1596 std::cerr << "Error during nnfw_session::train_get_loss : " << e.what() << std::endl;
                                        -
                                        1597 return NNFW_STATUS_ERROR;
                                        -
                                        1598 }
                                        -
                                        1599
                                        -
                                        1600 return NNFW_STATUS_NO_ERROR;
                                        -
                                        1601}
                                        +

                                        Definition at line 1584 of file nnfw_api_internal.cc.

                                        +
                                        1585{
                                        +
                                        1586 if (loss == nullptr)
                                        +
                                        1587 {
                                        +
                                        1588 std::cerr << "Error during nnfw_session::train_get_loss : loss is null" << std::endl;
                                        + +
                                        1590 }
                                        +
                                        1591
                                        +
                                        1592 if (!isStateFinishedTraining())
                                        +
                                        1593 {
                                        +
                                        1594 std::cerr << "Error during nnfw_session::train_get_loss : invalid state" << std::endl;
                                        + +
                                        1596 }
                                        +
                                        1597
                                        +
                                        1598 if (index >= getOutputSize())
                                        +
                                        1599 {
                                        +
                                        1600 std::cerr << "Error during nnfw_session::train_get_loss : index is out of range" << std::endl;
                                        +
                                        1601 return NNFW_STATUS_ERROR;
                                        +
                                        1602 }
                                        +
                                        1603
                                        +
                                        1604 try
                                        +
                                        1605 {
                                        +
                                        1606 auto ind = onert::ir::IOIndex(index);
                                        +
                                        1607 *loss = _execution->getLoss(ind);
                                        +
                                        1608 }
                                        +
                                        1609 catch (const std::exception &e)
                                        +
                                        1610 {
                                        +
                                        1611 std::cerr << "Error during nnfw_session::train_get_loss : " << e.what() << std::endl;
                                        +
                                        1612 return NNFW_STATUS_ERROR;
                                        +
                                        1613 }
                                        +
                                        1614
                                        +
                                        1615 return NNFW_STATUS_NO_ERROR;
                                        +
                                        1616}
                                        ::onert::util::Index< uint32_t, IOIndexTag > IOIndex
                                        Definition Index.h:38

                                        References NNFW_STATUS_ERROR, NNFW_STATUS_INVALID_STATE, NNFW_STATUS_NO_ERROR, and NNFW_STATUS_UNEXPECTED_NULL.

                                        @@ -2279,88 +2454,88 @@

                                        -

                                        Definition at line 1187 of file nnfw_api_internal.cc.

                                        -
                                        1188{
                                        -
                                        1189 if (isStateInitialized())
                                        -
                                        1190 {
                                        -
                                        1191 // There is no _train_info in INITIALIZED, since _train_info is set when a model loaded
                                        -
                                        1192 std::cerr << "Error during nnfw_session::train_get_traininfo : invalid state";
                                        - -
                                        1194 }
                                        -
                                        1195
                                        -
                                        1196 if (info == nullptr)
                                        -
                                        1197 {
                                        -
                                        1198 std::cerr << "Error during nnfw_session::train_get_traininfo : info is nullptr" << std::endl;
                                        - -
                                        1200 }
                                        -
                                        1201
                                        -
                                        1202 // after model loaded, it ensures that _train_info is not nullptr
                                        -
                                        1203 assert(_train_info != nullptr);
                                        -
                                        1204
                                        -
                                        1205 auto convertLossCode = [](const onert::ir::train::LossCode &code) -> NNFW_TRAIN_LOSS {
                                        -
                                        1206 switch (code)
                                        -
                                        1207 {
                                        - - - - - - -
                                        1214 default:
                                        -
                                        1215 throw std::runtime_error{"fail to convert ir::train::LossCode"};
                                        -
                                        1216 }
                                        -
                                        1217 };
                                        -
                                        1218
                                        -
                                        1219 auto convertLossReduction =
                                        - -
                                        1221 switch (type)
                                        +

                                        Definition at line 1202 of file nnfw_api_internal.cc.

                                        +
                                        1203{
                                        +
                                        1204 if (isStateInitialized())
                                        +
                                        1205 {
                                        +
                                        1206 // There is no _train_info in INITIALIZED, since _train_info is set when a model loaded
                                        +
                                        1207 std::cerr << "Error during nnfw_session::train_get_traininfo : invalid state";
                                        + +
                                        1209 }
                                        +
                                        1210
                                        +
                                        1211 if (info == nullptr)
                                        +
                                        1212 {
                                        +
                                        1213 std::cerr << "Error during nnfw_session::train_get_traininfo : info is nullptr" << std::endl;
                                        + +
                                        1215 }
                                        +
                                        1216
                                        +
                                        1217 // after model loaded, it ensures that _train_info is not nullptr
                                        +
                                        1218 assert(_train_info != nullptr);
                                        +
                                        1219
                                        +
                                        1220 auto convertLossCode = [](const onert::ir::train::LossCode &code) -> NNFW_TRAIN_LOSS {
                                        +
                                        1221 switch (code)
                                        1222 {
                                        - - - - - - + + + + + +
                                        1229 default:
                                        -
                                        1230 throw std::runtime_error{"fail to convert from ir::train::LossReductionType"};
                                        -
                                        1231 break;
                                        -
                                        1232 }
                                        -
                                        1233 };
                                        -
                                        1234
                                        -
                                        1235 auto convertOptimizerCode =
                                        - -
                                        1237 switch (code)
                                        -
                                        1238 {
                                        - - - - - - -
                                        1245 default:
                                        -
                                        1246 throw std::runtime_error{"fail to convert from ir::train::OptimizerCode"};
                                        +
                                        1230 throw std::runtime_error{"fail to convert ir::train::LossCode"};
                                        +
                                        1231 }
                                        +
                                        1232 };
                                        +
                                        1233
                                        +
                                        1234 auto convertLossReduction =
                                        + +
                                        1236 switch (type)
                                        +
                                        1237 {
                                        + + + + + + +
                                        1244 default:
                                        +
                                        1245 throw std::runtime_error{"fail to convert from ir::train::LossReductionType"};
                                        +
                                        1246 break;
                                        1247 }
                                        1248 };
                                        1249
                                        -
                                        1250 const auto &loss = _train_info->lossInfo();
                                        -
                                        1251 const auto &optim = _train_info->optimizerInfo();
                                        -
                                        1252
                                        -
                                        1253 try
                                        -
                                        1254 {
                                        -
                                        1255 info->learning_rate = optim.learning_rate;
                                        -
                                        1256 info->batch_size = _train_info->batchSize();
                                        -
                                        1257 info->loss_info.loss = convertLossCode(loss.loss_code);
                                        -
                                        1258 info->loss_info.reduction_type = convertLossReduction(loss.reduction_type);
                                        -
                                        1259 info->opt = convertOptimizerCode(optim.optim_code);
                                        -
                                        1260 }
                                        -
                                        1261 catch (const std::exception &e)
                                        -
                                        1262 {
                                        -
                                        1263 std::cerr << "Error during nnfw_session::train_get_traininfo" << e.what() << std::endl;
                                        -
                                        1264 return NNFW_STATUS_ERROR;
                                        -
                                        1265 }
                                        -
                                        1266
                                        -
                                        1267 return NNFW_STATUS_NO_ERROR;
                                        -
                                        1268}
                                        +
                                        1250 auto convertOptimizerCode =
                                        + +
                                        1252 switch (code)
                                        +
                                        1253 {
                                        + + + + + + +
                                        1260 default:
                                        +
                                        1261 throw std::runtime_error{"fail to convert from ir::train::OptimizerCode"};
                                        +
                                        1262 }
                                        +
                                        1263 };
                                        +
                                        1264
                                        +
                                        1265 const auto &loss = _train_info->lossInfo();
                                        +
                                        1266 const auto &optim = _train_info->optimizerInfo();
                                        +
                                        1267
                                        +
                                        1268 try
                                        +
                                        1269 {
                                        +
                                        1270 info->learning_rate = optim.learning_rate;
                                        +
                                        1271 info->batch_size = _train_info->batchSize();
                                        +
                                        1272 info->loss_info.loss = convertLossCode(loss.loss_code);
                                        +
                                        1273 info->loss_info.reduction_type = convertLossReduction(loss.reduction_type);
                                        +
                                        1274 info->opt = convertOptimizerCode(optim.optim_code);
                                        +
                                        1275 }
                                        +
                                        1276 catch (const std::exception &e)
                                        +
                                        1277 {
                                        +
                                        1278 std::cerr << "Error during nnfw_session::train_get_traininfo" << e.what() << std::endl;
                                        +
                                        1279 return NNFW_STATUS_ERROR;
                                        +
                                        1280 }
                                        +
                                        1281
                                        +
                                        1282 return NNFW_STATUS_NO_ERROR;
                                        +
                                        1283}
                                        Code * code(const SessionID &sess)
                                        Definition Session.cpp:54
                                        @@ -2418,21 +2593,21 @@

                                        -

                                        Definition at line 1378 of file nnfw_api_internal.cc.

                                        -
                                        1379{
                                        -
                                        1380 if (!isStatePreparedOrFinishedTraining())
                                        -
                                        1381 {
                                        -
                                        1382 std::cerr << "Error during nnfw_session::train_input_tensorinfo : invalid state" << std::endl;
                                        - -
                                        1384 }
                                        -
                                        1385
                                        -
                                        1386 // Check index is valid: [0, getInputSize())
                                        -
                                        1387
                                        -
                                        1388 // NYI
                                        -
                                        1389 (void)index;
                                        -
                                        1390 (void)ti;
                                        -
                                        1391 return NNFW_STATUS_ERROR;
                                        -
                                        1392}
                                        +

                                        Definition at line 1393 of file nnfw_api_internal.cc.

                                        +
                                        1394{
                                        +
                                        1395 if (!isStatePreparedOrFinishedTraining())
                                        +
                                        1396 {
                                        +
                                        1397 std::cerr << "Error during nnfw_session::train_input_tensorinfo : invalid state" << std::endl;
                                        + +
                                        1399 }
                                        +
                                        1400
                                        +
                                        1401 // Check index is valid: [0, getInputSize())
                                        +
                                        1402
                                        +
                                        1403 // NYI
                                        +
                                        1404 (void)index;
                                        +
                                        1405 (void)ti;
                                        +
                                        1406 return NNFW_STATUS_ERROR;
                                        +
                                        1407}

                                        References NNFW_STATUS_ERROR, and NNFW_STATUS_INVALID_STATE.

                                        @@ -2453,46 +2628,46 @@

                                        -

                                        Definition at line 1337 of file nnfw_api_internal.cc.

                                        -
                                        1338{
                                        -
                                        1339 // We may need different state to represent training model is loaded
                                        -
                                        1340 if (!isStateModelLoaded())
                                        -
                                        1341 {
                                        -
                                        1342 std::cerr << "Error during model prepare training: ";
                                        -
                                        1343 if (_state == State::PREPARED_TRAINING)
                                        -
                                        1344 std::cerr << "prepare should be run once";
                                        -
                                        1345 else
                                        -
                                        1346 std::cerr << "invalid state";
                                        -
                                        1347 std::cerr << std::endl;
                                        - -
                                        1349 }
                                        -
                                        1350
                                        -
                                        1351 // after model loaded, it ensures that _train_info is not nullptr
                                        -
                                        1352 assert(_train_info != nullptr);
                                        -
                                        1353
                                        -
                                        1354 try
                                        -
                                        1355 {
                                        -
                                        1356 if (not _train_info->isValid())
                                        -
                                        1357 throw std::runtime_error{"training info is not valid"};
                                        -
                                        1358
                                        -
                                        1359 // initialize trainingStep count
                                        -
                                        1360 _train_info->trainingStep() = 0;
                                        -
                                        1361
                                        -
                                        1362 auto compiler =
                                        -
                                        1363 onert::compiler::CompilerFactory::get().create(_nnpkg, _coptions, _train_info.get());
                                        -
                                        1364 _nnpkg.reset();
                                        -
                                        1365 _compiler_artifact = compiler->compile();
                                        -
                                        1366 _execution = std::make_unique<onert::exec::Execution>(_compiler_artifact->_executors);
                                        -
                                        1367 }
                                        -
                                        1368 catch (const std::exception &e)
                                        -
                                        1369 {
                                        -
                                        1370 std::cerr << "Error during nnfw_session::train_prepare : " << e.what() << std::endl;
                                        -
                                        1371 return NNFW_STATUS_ERROR;
                                        -
                                        1372 }
                                        +

                                        Definition at line 1352 of file nnfw_api_internal.cc.

                                        +
                                        1353{
                                        +
                                        1354 // We may need different state to represent training model is loaded
                                        +
                                        1355 if (!isStateModelLoaded())
                                        +
                                        1356 {
                                        +
                                        1357 std::cerr << "Error during model prepare training: ";
                                        +
                                        1358 if (_state == State::PREPARED_TRAINING)
                                        +
                                        1359 std::cerr << "prepare should be run once";
                                        +
                                        1360 else
                                        +
                                        1361 std::cerr << "invalid state";
                                        +
                                        1362 std::cerr << std::endl;
                                        + +
                                        1364 }
                                        +
                                        1365
                                        +
                                        1366 // after model loaded, it ensures that _train_info is not nullptr
                                        +
                                        1367 assert(_train_info != nullptr);
                                        +
                                        1368
                                        +
                                        1369 try
                                        +
                                        1370 {
                                        +
                                        1371 if (not _train_info->isValid())
                                        +
                                        1372 throw std::runtime_error{"training info is not valid"};
                                        1373
                                        -
                                        1374 _state = State::PREPARED_TRAINING;
                                        -
                                        1375 return NNFW_STATUS_NO_ERROR;
                                        -
                                        1376}
                                        +
                                        1374 // initialize trainingStep count
                                        +
                                        1375 _train_info->trainingStep() = 0;
                                        +
                                        1376
                                        +
                                        1377 auto compiler =
                                        +
                                        1378 onert::compiler::CompilerFactory::get().create(_nnpkg, _coptions, _train_info.get());
                                        +
                                        1379 _nnpkg.reset();
                                        +
                                        1380 _compiler_artifact = compiler->compile();
                                        +
                                        1381 _execution = std::make_unique<onert::exec::Execution>(_compiler_artifact->_executors);
                                        +
                                        1382 }
                                        +
                                        1383 catch (const std::exception &e)
                                        +
                                        1384 {
                                        +
                                        1385 std::cerr << "Error during nnfw_session::train_prepare : " << e.what() << std::endl;
                                        +
                                        1386 return NNFW_STATUS_ERROR;
                                        +
                                        1387 }
                                        +
                                        1388
                                        +
                                        1389 _state = State::PREPARED_TRAINING;
                                        +
                                        1390 return NNFW_STATUS_NO_ERROR;
                                        +
                                        1391}

                                        References onert::compiler::CompilerFactory::create(), onert::compiler::CompilerFactory::get(), NNFW_STATUS_ERROR, NNFW_STATUS_INVALID_STATE, and NNFW_STATUS_NO_ERROR.

                                        @@ -2514,39 +2689,39 @@

                                        -

                                        Definition at line 1535 of file nnfw_api_internal.cc.

                                        -
                                        1536{
                                        -
                                        1537 if (!isStatePreparedOrFinishedTraining())
                                        -
                                        1538 {
                                        -
                                        1539 std::cerr << "Error during nnfw_session::train_run : invalid state" << std::endl;
                                        - -
                                        1541 }
                                        -
                                        1542
                                        -
                                        1543 try
                                        -
                                        1544 {
                                        -
                                        1545 if (update_weights)
                                        -
                                        1546 {
                                        -
                                        1547 auto &training_step = _train_info->trainingStep();
                                        -
                                        1548 _execution->train(training_step++);
                                        -
                                        1549 }
                                        -
                                        1550 else
                                        -
                                        1551 _execution->execute();
                                        -
                                        1552 }
                                        - -
                                        1554 {
                                        -
                                        1555 // Currently insufficient buffer always means output buffer.
                                        -
                                        1556 std::cerr << "Error during nnfw_session::train_run : " << e.what() << std::endl;
                                        - -
                                        1558 }
                                        -
                                        1559 catch (const std::exception &e)
                                        -
                                        1560 {
                                        -
                                        1561 std::cerr << "Error during nnfw_session::train_run : " << e.what() << std::endl;
                                        -
                                        1562 return NNFW_STATUS_ERROR;
                                        -
                                        1563 }
                                        -
                                        1564
                                        -
                                        1565 _state = State::FINISHED_TRAINING;
                                        -
                                        1566 return NNFW_STATUS_NO_ERROR;
                                        -
                                        1567}
                                        +

                                        Definition at line 1550 of file nnfw_api_internal.cc.

                                        +
                                        1551{
                                        +
                                        1552 if (!isStatePreparedOrFinishedTraining())
                                        +
                                        1553 {
                                        +
                                        1554 std::cerr << "Error during nnfw_session::train_run : invalid state" << std::endl;
                                        + +
                                        1556 }
                                        +
                                        1557
                                        +
                                        1558 try
                                        +
                                        1559 {
                                        +
                                        1560 if (update_weights)
                                        +
                                        1561 {
                                        +
                                        1562 auto &training_step = _train_info->trainingStep();
                                        +
                                        1563 _execution->train(training_step++);
                                        +
                                        1564 }
                                        +
                                        1565 else
                                        +
                                        1566 _execution->execute();
                                        +
                                        1567 }
                                        + +
                                        1569 {
                                        +
                                        1570 // Currently insufficient buffer always means output buffer.
                                        +
                                        1571 std::cerr << "Error during nnfw_session::train_run : " << e.what() << std::endl;
                                        + +
                                        1573 }
                                        +
                                        1574 catch (const std::exception &e)
                                        +
                                        1575 {
                                        +
                                        1576 std::cerr << "Error during nnfw_session::train_run : " << e.what() << std::endl;
                                        +
                                        1577 return NNFW_STATUS_ERROR;
                                        +
                                        1578 }
                                        +
                                        1579
                                        +
                                        1580 _state = State::FINISHED_TRAINING;
                                        +
                                        1581 return NNFW_STATUS_NO_ERROR;
                                        +
                                        1582}

                                        References NNFW_STATUS_ERROR, NNFW_STATUS_INSUFFICIENT_OUTPUT_SIZE, NNFW_STATUS_INVALID_STATE, NNFW_STATUS_NO_ERROR, and onert::OnertException::what().

                                        @@ -2584,55 +2759,55 @@

                                        -

                                        Definition at line 1455 of file nnfw_api_internal.cc.

                                        -
                                        1457{
                                        -
                                        1458 if (expected == nullptr)
                                        -
                                        1459 {
                                        -
                                        1460 std::cerr << "Error during nnfw_session::train_set_expected : expected buffer is null"
                                        -
                                        1461 << std::endl;
                                        - -
                                        1463 }
                                        -
                                        1464
                                        -
                                        1465 if (!isStatePreparedOrFinishedTraining())
                                        -
                                        1466 {
                                        -
                                        1467 std::cerr << "Error during nnfw_session::train_set_expected : invalid state" << std::endl;
                                        - -
                                        1469 }
                                        -
                                        1470
                                        -
                                        1471 if (index >= getOutputSize())
                                        -
                                        1472 {
                                        -
                                        1473 std::cerr << "Error during nnfw_session::train_set_expected : index is out of range"
                                        -
                                        1474 << std::endl;
                                        -
                                        1475 return NNFW_STATUS_ERROR;
                                        -
                                        1476 }
                                        -
                                        1477
                                        -
                                        1478 try
                                        -
                                        1479 {
                                        -
                                        1480 auto output_ind = onert::ir::IOIndex(index);
                                        -
                                        1481 auto size = _execution->getOutputTotalSize(output_ind);
                                        -
                                        1482 if (expected_tensorinfo && getBufSize(expected_tensorinfo) != size)
                                        -
                                        1483 {
                                        -
                                        1484 std::cerr << "Error during nnfw_session::train_set_expected : invalid tensorinfo"
                                        -
                                        1485 << std::endl;
                                        -
                                        1486 return NNFW_STATUS_ERROR;
                                        -
                                        1487 }
                                        -
                                        1488
                                        -
                                        1489 // NOTE Find the loss input index
                                        -
                                        1490 // Input is added as many as the number of outputs.
                                        -
                                        1491 // The loss index is calculated from the value obtained by subtracting the
                                        -
                                        1492 // total output(added loss input) from the total input size.
                                        -
                                        1493 auto input_index = getInputSize() - getOutputSize() + index;
                                        -
                                        1494 auto input_ind = onert::ir::IOIndex(input_index);
                                        -
                                        1495 _execution->setInput(input_ind, expected, size);
                                        -
                                        1496 }
                                        -
                                        1497 catch (const std::exception &e)
                                        -
                                        1498 {
                                        -
                                        1499 std::cerr << "Error during nnfw_session::train_set_expected : " << e.what() << std::endl;
                                        -
                                        1500 return NNFW_STATUS_ERROR;
                                        -
                                        1501 }
                                        -
                                        1502
                                        -
                                        1503 return NNFW_STATUS_NO_ERROR;
                                        -
                                        1504}
                                        +

                                        Definition at line 1470 of file nnfw_api_internal.cc.

                                        +
                                        1472{
                                        +
                                        1473 if (expected == nullptr)
                                        +
                                        1474 {
                                        +
                                        1475 std::cerr << "Error during nnfw_session::train_set_expected : expected buffer is null"
                                        +
                                        1476 << std::endl;
                                        + +
                                        1478 }
                                        +
                                        1479
                                        +
                                        1480 if (!isStatePreparedOrFinishedTraining())
                                        +
                                        1481 {
                                        +
                                        1482 std::cerr << "Error during nnfw_session::train_set_expected : invalid state" << std::endl;
                                        + +
                                        1484 }
                                        +
                                        1485
                                        +
                                        1486 if (index >= getOutputSize())
                                        +
                                        1487 {
                                        +
                                        1488 std::cerr << "Error during nnfw_session::train_set_expected : index is out of range"
                                        +
                                        1489 << std::endl;
                                        +
                                        1490 return NNFW_STATUS_ERROR;
                                        +
                                        1491 }
                                        +
                                        1492
                                        +
                                        1493 try
                                        +
                                        1494 {
                                        +
                                        1495 auto output_ind = onert::ir::IOIndex(index);
                                        +
                                        1496 auto size = _execution->getOutputTotalSize(output_ind);
                                        +
                                        1497 if (expected_tensorinfo && getBufSize(expected_tensorinfo) != size)
                                        +
                                        1498 {
                                        +
                                        1499 std::cerr << "Error during nnfw_session::train_set_expected : invalid tensorinfo"
                                        +
                                        1500 << std::endl;
                                        +
                                        1501 return NNFW_STATUS_ERROR;
                                        +
                                        1502 }
                                        +
                                        1503
                                        +
                                        1504 // NOTE Find the loss input index
                                        +
                                        1505 // Input is added as many as the number of outputs.
                                        +
                                        1506 // The loss index is calculated from the value obtained by subtracting the
                                        +
                                        1507 // total output(added loss input) from the total input size.
                                        +
                                        1508 auto input_index = getInputSize() - getOutputSize() + index;
                                        +
                                        1509 auto input_ind = onert::ir::IOIndex(input_index);
                                        +
                                        1510 _execution->setInput(input_ind, expected, size);
                                        +
                                        1511 }
                                        +
                                        1512 catch (const std::exception &e)
                                        +
                                        1513 {
                                        +
                                        1514 std::cerr << "Error during nnfw_session::train_set_expected : " << e.what() << std::endl;
                                        +
                                        1515 return NNFW_STATUS_ERROR;
                                        +
                                        1516 }
                                        +
                                        1517
                                        +
                                        1518 return NNFW_STATUS_NO_ERROR;
                                        +
                                        1519}

                                        References NNFW_STATUS_ERROR, NNFW_STATUS_INVALID_STATE, NNFW_STATUS_NO_ERROR, NNFW_STATUS_UNEXPECTED_NULL, and size.

                                        @@ -2671,51 +2846,51 @@

                                        -

                                        Definition at line 1411 of file nnfw_api_internal.cc.

                                        -
                                        1413{
                                        -
                                        1414 if (input == nullptr)
                                        -
                                        1415 {
                                        -
                                        1416 std::cerr << "Error during nnfw_session::train_set_input : input buffer is null" << std::endl;
                                        - -
                                        1418 }
                                        -
                                        1419
                                        -
                                        1420 if (!isStatePreparedOrFinishedTraining())
                                        -
                                        1421 {
                                        -
                                        1422 std::cerr << "Error during nnfw_session::train_set_input : invalid state" << std::endl;
                                        - -
                                        1424 }
                                        -
                                        1425
                                        -
                                        1426 if (index >= getInputSize())
                                        -
                                        1427 {
                                        -
                                        1428 std::cerr << "Error during nnfw_session::train_set_input : index is out of range" << std::endl;
                                        -
                                        1429 return NNFW_STATUS_ERROR;
                                        -
                                        1430 }
                                        -
                                        1431
                                        -
                                        1432 try
                                        -
                                        1433 {
                                        -
                                        1434 auto ind = onert::ir::IOIndex(index);
                                        -
                                        1435 auto size = _execution->getInputTotalSize(ind);
                                        -
                                        1436 if (input_tensorinfo && getBufSize(input_tensorinfo) != size)
                                        -
                                        1437 {
                                        -
                                        1438 std::cerr
                                        -
                                        1439 << "Error during nnfw_session::train_set_input : not supporeted to change tensorinfo"
                                        -
                                        1440 << std::endl;
                                        -
                                        1441 return NNFW_STATUS_ERROR;
                                        -
                                        1442 }
                                        -
                                        1443
                                        -
                                        1444 _execution->setInput(ind, input, size);
                                        +

                                        Definition at line 1426 of file nnfw_api_internal.cc.

                                        +
                                        1428{
                                        +
                                        1429 if (input == nullptr)
                                        +
                                        1430 {
                                        +
                                        1431 std::cerr << "Error during nnfw_session::train_set_input : input buffer is null" << std::endl;
                                        + +
                                        1433 }
                                        +
                                        1434
                                        +
                                        1435 if (!isStatePreparedOrFinishedTraining())
                                        +
                                        1436 {
                                        +
                                        1437 std::cerr << "Error during nnfw_session::train_set_input : invalid state" << std::endl;
                                        + +
                                        1439 }
                                        +
                                        1440
                                        +
                                        1441 if (index >= getInputSize())
                                        +
                                        1442 {
                                        +
                                        1443 std::cerr << "Error during nnfw_session::train_set_input : index is out of range" << std::endl;
                                        +
                                        1444 return NNFW_STATUS_ERROR;
                                        1445 }
                                        -
                                        1446 catch (const std::exception &e)
                                        -
                                        1447 {
                                        -
                                        1448 std::cerr << "Error during nnfw_session::train_set_input : " << e.what() << std::endl;
                                        -
                                        1449 return NNFW_STATUS_ERROR;
                                        -
                                        1450 }
                                        -
                                        1451
                                        -
                                        1452 return NNFW_STATUS_NO_ERROR;
                                        -
                                        1453}
                                        -
                                        NNFW_STATUS input_tensorinfo(uint32_t index, nnfw_tensorinfo *ti)
                                        +
                                        1446
                                        +
                                        1447 try
                                        +
                                        1448 {
                                        +
                                        1449 auto ind = onert::ir::IOIndex(index);
                                        +
                                        1450 auto size = _execution->getInputTotalSize(ind);
                                        +
                                        1451 if (input_tensorinfo && getBufSize(input_tensorinfo) != size)
                                        +
                                        1452 {
                                        +
                                        1453 std::cerr
                                        +
                                        1454 << "Error during nnfw_session::train_set_input : not supporeted to change tensorinfo"
                                        +
                                        1455 << std::endl;
                                        +
                                        1456 return NNFW_STATUS_ERROR;
                                        +
                                        1457 }
                                        +
                                        1458
                                        +
                                        1459 _execution->setInput(ind, input, size);
                                        +
                                        1460 }
                                        +
                                        1461 catch (const std::exception &e)
                                        +
                                        1462 {
                                        +
                                        1463 std::cerr << "Error during nnfw_session::train_set_input : " << e.what() << std::endl;
                                        +
                                        1464 return NNFW_STATUS_ERROR;
                                        +
                                        1465 }
                                        +
                                        1466
                                        +
                                        1467 return NNFW_STATUS_NO_ERROR;
                                        +
                                        1468}
                                        +
                                        NNFW_STATUS input_tensorinfo(uint32_t index, nnfw_tensorinfo *ti)
                                        -

                                        References input_tensorinfo(), NNFW_STATUS_ERROR, NNFW_STATUS_INVALID_STATE, NNFW_STATUS_NO_ERROR, NNFW_STATUS_UNEXPECTED_NULL, and size.

                                        +

                                        References input_tensorinfo(), NNFW_STATUS_ERROR, NNFW_STATUS_INVALID_STATE, NNFW_STATUS_NO_ERROR, NNFW_STATUS_UNEXPECTED_NULL, and size.

                                        @@ -2757,33 +2932,33 @@

                                        -

                                        Definition at line 1506 of file nnfw_api_internal.cc.

                                        -
                                        1508{
                                        -
                                        1509 if (!isStatePreparedOrFinishedTraining())
                                        -
                                        1510 {
                                        -
                                        1511 std::cerr << "Error during nnfw_session::train_set_output : invalid state" << std::endl;
                                        - -
                                        1513 }
                                        -
                                        1514
                                        -
                                        1515 if (!buffer && length != 0)
                                        -
                                        1516 {
                                        -
                                        1517 std::cerr << "Error during nnfw_session::train_set_output : given buffer is NULL but the "
                                        -
                                        1518 "length is not 0"
                                        -
                                        1519 << std::endl;
                                        -
                                        1520 return NNFW_STATUS_ERROR;
                                        -
                                        1521 }
                                        -
                                        1522
                                        -
                                        1523 try
                                        -
                                        1524 {
                                        -
                                        1525 _execution->setOutput(onert::ir::IOIndex(index), buffer, length);
                                        -
                                        1526 }
                                        -
                                        1527 catch (const std::exception &e)
                                        -
                                        1528 {
                                        -
                                        1529 std::cerr << "Error during nnfw_session::train_set_output : " << e.what() << std::endl;
                                        -
                                        1530 return NNFW_STATUS_ERROR;
                                        -
                                        1531 }
                                        -
                                        1532 return NNFW_STATUS_NO_ERROR;
                                        -
                                        1533}
                                        +

                                        Definition at line 1521 of file nnfw_api_internal.cc.

                                        +
                                        1523{
                                        +
                                        1524 if (!isStatePreparedOrFinishedTraining())
                                        +
                                        1525 {
                                        +
                                        1526 std::cerr << "Error during nnfw_session::train_set_output : invalid state" << std::endl;
                                        + +
                                        1528 }
                                        +
                                        1529
                                        +
                                        1530 if (!buffer && length != 0)
                                        +
                                        1531 {
                                        +
                                        1532 std::cerr << "Error during nnfw_session::train_set_output : given buffer is NULL but the "
                                        +
                                        1533 "length is not 0"
                                        +
                                        1534 << std::endl;
                                        +
                                        1535 return NNFW_STATUS_ERROR;
                                        +
                                        1536 }
                                        +
                                        1537
                                        +
                                        1538 try
                                        +
                                        1539 {
                                        +
                                        1540 _execution->setOutput(onert::ir::IOIndex(index), buffer, length);
                                        +
                                        1541 }
                                        +
                                        1542 catch (const std::exception &e)
                                        +
                                        1543 {
                                        +
                                        1544 std::cerr << "Error during nnfw_session::train_set_output : " << e.what() << std::endl;
                                        +
                                        1545 return NNFW_STATUS_ERROR;
                                        +
                                        1546 }
                                        +
                                        1547 return NNFW_STATUS_NO_ERROR;
                                        +
                                        1548}

                                        References NNFW_STATUS_ERROR, NNFW_STATUS_INVALID_STATE, and NNFW_STATUS_NO_ERROR.

                                        @@ -2805,72 +2980,72 @@

                                        -

                                        Definition at line 1270 of file nnfw_api_internal.cc.

                                        -
                                        1271{
                                        -
                                        1272 if (not isStateModelLoaded())
                                        -
                                        1273 {
                                        -
                                        1274 std::cerr << "Error during nnfw_session::train_set_traininfo : invalid state" << std::endl;
                                        - -
                                        1276 }
                                        -
                                        1277
                                        -
                                        1278 if (info == nullptr)
                                        -
                                        1279 {
                                        -
                                        1280 std::cerr << "nnfw_session::train_set_traininfo : info is nullptr" << std::endl;
                                        - -
                                        1282 }
                                        -
                                        1283
                                        -
                                        1284 // after model loaded, it ensures that _train_info is not nullptr
                                        -
                                        1285 assert(_train_info != nullptr);
                                        -
                                        1286
                                        -
                                        1287 auto convertLossType = [](const int &type) {
                                        - - - - -
                                        1292 else
                                        -
                                        1293 throw std::runtime_error("not supported loss type");
                                        -
                                        1294 };
                                        -
                                        1295
                                        -
                                        1296 auto convertLossReductionType = [](const int &type) {
                                        - - -
                                        1299 else if (type == NNFW_TRAIN_LOSS_REDUCTION_SUM)
                                        - -
                                        1301 else
                                        -
                                        1302 throw std::runtime_error("not supported loss reduction type");
                                        -
                                        1303 };
                                        -
                                        1304
                                        -
                                        1305 auto convertOptType = [](const int &type) {
                                        -
                                        1306 if (type == NNFW_TRAIN_OPTIMIZER_SGD)
                                        - -
                                        1308 else if (type == NNFW_TRAIN_OPTIMIZER_ADAM)
                                        - -
                                        1310 else
                                        -
                                        1311 throw std::runtime_error("not supported optimizer type");
                                        -
                                        1312 };
                                        -
                                        1313
                                        -
                                        1314 try
                                        -
                                        1315 {
                                        - -
                                        1317 loss_info.loss_code = convertLossType(info->loss_info.loss);
                                        -
                                        1318 loss_info.reduction_type = convertLossReductionType(info->loss_info.reduction_type);
                                        +

                                        Definition at line 1285 of file nnfw_api_internal.cc.

                                        +
                                        1286{
                                        +
                                        1287 if (not isStateModelLoaded())
                                        +
                                        1288 {
                                        +
                                        1289 std::cerr << "Error during nnfw_session::train_set_traininfo : invalid state" << std::endl;
                                        + +
                                        1291 }
                                        +
                                        1292
                                        +
                                        1293 if (info == nullptr)
                                        +
                                        1294 {
                                        +
                                        1295 std::cerr << "nnfw_session::train_set_traininfo : info is nullptr" << std::endl;
                                        + +
                                        1297 }
                                        +
                                        1298
                                        +
                                        1299 // after model loaded, it ensures that _train_info is not nullptr
                                        +
                                        1300 assert(_train_info != nullptr);
                                        +
                                        1301
                                        +
                                        1302 auto convertLossType = [](const int &type) {
                                        + + + + +
                                        1307 else
                                        +
                                        1308 throw std::runtime_error("not supported loss type");
                                        +
                                        1309 };
                                        +
                                        1310
                                        +
                                        1311 auto convertLossReductionType = [](const int &type) {
                                        + + +
                                        1314 else if (type == NNFW_TRAIN_LOSS_REDUCTION_SUM)
                                        + +
                                        1316 else
                                        +
                                        1317 throw std::runtime_error("not supported loss reduction type");
                                        +
                                        1318 };
                                        1319
                                        - -
                                        1321 opt_info.learning_rate = info->learning_rate;
                                        -
                                        1322 opt_info.optim_code = convertOptType(info->opt);
                                        -
                                        1323
                                        -
                                        1324 _train_info->setBatchSize(info->batch_size);
                                        -
                                        1325 _train_info->setLossInfo(loss_info);
                                        -
                                        1326 _train_info->setOptimizerInfo(opt_info);
                                        -
                                        1327 }
                                        -
                                        1328 catch (const std::exception &e)
                                        -
                                        1329 {
                                        -
                                        1330 std::cerr << "Error during nnfw_session::train_set_traininfo : " << e.what() << std::endl;
                                        -
                                        1331 return NNFW_STATUS_ERROR;
                                        -
                                        1332 }
                                        -
                                        1333
                                        -
                                        1334 return NNFW_STATUS_NO_ERROR;
                                        -
                                        1335}
                                        +
                                        1320 auto convertOptType = [](const int &type) {
                                        +
                                        1321 if (type == NNFW_TRAIN_OPTIMIZER_SGD)
                                        + +
                                        1323 else if (type == NNFW_TRAIN_OPTIMIZER_ADAM)
                                        + +
                                        1325 else
                                        +
                                        1326 throw std::runtime_error("not supported optimizer type");
                                        +
                                        1327 };
                                        +
                                        1328
                                        +
                                        1329 try
                                        +
                                        1330 {
                                        + +
                                        1332 loss_info.loss_code = convertLossType(info->loss_info.loss);
                                        +
                                        1333 loss_info.reduction_type = convertLossReductionType(info->loss_info.reduction_type);
                                        +
                                        1334
                                        + +
                                        1336 opt_info.learning_rate = info->learning_rate;
                                        +
                                        1337 opt_info.optim_code = convertOptType(info->opt);
                                        +
                                        1338
                                        +
                                        1339 _train_info->setBatchSize(info->batch_size);
                                        +
                                        1340 _train_info->setLossInfo(loss_info);
                                        +
                                        1341 _train_info->setOptimizerInfo(opt_info);
                                        +
                                        1342 }
                                        +
                                        1343 catch (const std::exception &e)
                                        +
                                        1344 {
                                        +
                                        1345 std::cerr << "Error during nnfw_session::train_set_traininfo : " << e.what() << std::endl;
                                        +
                                        1346 return NNFW_STATUS_ERROR;
                                        +
                                        1347 }
                                        +
                                        1348
                                        +
                                        1349 return NNFW_STATUS_NO_ERROR;
                                        +
                                        1350}
                                        LossReductionType reduction_type
                                        Definition LossInfo.h:45
                                        diff --git a/structnnfw__session.js b/structnnfw__session.js index c69b702babf..a5724048f89 100644 --- a/structnnfw__session.js +++ b/structnnfw__session.js @@ -3,6 +3,7 @@ var structnnfw__session = [ "~nnfw_session", "structnnfw__session.html#a9aae83b6b2bf60d45bf7b43830e9817c", null ], [ "apply_tensorinfo", "structnnfw__session.html#a96e6b27844f54172439a82236ee3cc9b", null ], [ "await", "structnnfw__session.html#a84220f9c706eb556dedb715a0205ff1b", null ], + [ "codegen", "structnnfw__session.html#a90dafdf20e9ad18b1a2f14718a32ba36", null ], [ "get_config", "structnnfw__session.html#a876d94a6d7933b3a5a74aaa5aaeacccb", null ], [ "input_size", "structnnfw__session.html#a6e91db5e146ce5c13847a6c527adabbd", null ], [ "input_tensorindex", "structnnfw__session.html#a2ffbda05c799f860a96e47682804b1f3", null ], @@ -23,6 +24,7 @@ var structnnfw__session = [ "run_async", "structnnfw__session.html#a77348e68a5e133a66cb5c4a820bc8215", null ], [ "set_available_backends", "structnnfw__session.html#a81395a3fd0c0ee88348fe4fb2297faa7", null ], [ "set_backends_per_operation", "structnnfw__session.html#a64d5dc56c9d9977bc576cccc35446ab0", null ], + [ "set_codegen_model_path", "structnnfw__session.html#a4bbd37a0b1c4523cc54b0dffa410e2ca", null ], [ "set_config", "structnnfw__session.html#a18ee6747d85d80d421d60ab69bf4c67e", null ], [ "set_input", "structnnfw__session.html#a52c7257e3805731aaded2589822d285b", null ], [ "set_input_layout", "structnnfw__session.html#ac7886aaaa6e18712e95f0ae983d97072", null ], diff --git a/structnnfw__tensorinfo.html b/structnnfw__tensorinfo.html index 3de9db33158..cc249b6f4dc 100644 --- a/structnnfw__tensorinfo.html +++ b/structnnfw__tensorinfo.html @@ -141,7 +141,7 @@

                                        Definition at line 185 of file nnfw.h.

                                        -

                                        Referenced by nnfw_session::apply_tensorinfo(), onert::api::APIConverter::convertType(), NNFW_SESSION::input_tensorinfo(), num_elems(), num_elems(), NNFW_SESSION::output_tensorinfo(), and NNFW_SESSION::set_input_tensorinfo().

                                        +

                                        Referenced by nnfw_session::apply_tensorinfo(), onert::api::APIConverter::convertType(), NNFW_SESSION::input_tensorinfo(), num_elems(), num_elems(), NNFW_SESSION::output_tensorinfo(), and NNFW_SESSION::set_input_tensorinfo().

                                        @@ -179,7 +179,7 @@

                                        Definition at line 180 of file nnfw.h.

                                        -

                                        Referenced by nnfw_session::apply_tensorinfo(), onert::api::APIConverter::convertType(), NNFW_SESSION::input_tensorinfo(), num_elems(), num_elems(), NNFW_SESSION::output_tensorinfo(), and NNFW_SESSION::set_input_tensorinfo().

                                        +

                                        Referenced by nnfw_session::apply_tensorinfo(), onert::api::APIConverter::convertType(), NNFW_SESSION::input_tensorinfo(), num_elems(), num_elems(), NNFW_SESSION::output_tensorinfo(), and NNFW_SESSION::set_input_tensorinfo().

                                        diff --git a/structonert_1_1ir_1_1_i_operation.html b/structonert_1_1ir_1_1_i_operation.html index ac551bf452c..06f2bd1f28b 100644 --- a/structonert_1_1ir_1_1_i_operation.html +++ b/structonert_1_1ir_1_1_i_operation.html @@ -201,7 +201,7 @@

                                        onert::ir::Operation.

                                        -

                                        Referenced by onert::ir::train::TrainableGraph::btopolSortOperations(), onert::compiler::pass::ConstantInsertionPass::callback(), onert::compiler::pass::ConstantLoweringPass::callback(), onert::exec::DataflowExecutor::DataflowExecutor(), onert::dumper::text::formatOperation(), onert::ir::Graph::replaceOperation(), onert::compiler::pass::UnusedOperandEliminationPass::run(), and onert::ir::verifier::EdgeChecker::verify().

                                        +

                                        Referenced by onert::ir::train::TrainableGraph::btopolSortOperations(), onert::compiler::pass::ConstantInsertionPass::callback(), onert::compiler::pass::ConstantLoweringPass::callback(), onert::exec::DataflowExecutor::DataflowExecutor(), onert::dumper::text::formatOperation(), onert::ir::Graph::replaceOperation(), onert::compiler::pass::UnusedOperandEliminationPass::run(), and onert::ir::verifier::EdgeChecker::verify().

                                        @@ -266,7 +266,7 @@

                                        References opcode(), and onert::ir::toString().

                                        -

                                        Referenced by onert::dumper::text::formatOperation(), onert::exec::TracingObserver::handleJobBegin(), onert::compiler::train::StaticBackwardShapeInferer::infer(), onert::ir::operation::LSTM::name(), onert::dumper::dot::Operation::Operation(), onert::ir::train::TrainableGraph::verify(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), and onert::ir::OperationDumper::visit().

                                        +

                                        Referenced by onert::dumper::text::formatOperation(), onert::exec::TracingObserver::handleJobBegin(), onert::compiler::train::StaticBackwardShapeInferer::infer(), onert::ir::operation::LSTM::name(), onert::dumper::dot::Operation::Operation(), onert::ir::train::TrainableGraph::verify(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), and onert::ir::OperationDumper::visit().

                                        @@ -295,7 +295,7 @@

                                        onert::ir::operation::AddN, onert::ir::operation::ArgMinMax, onert::ir::operation::BatchMatMul, onert::ir::operation::BatchToSpaceND, onert::ir::operation::BCQFullyConnected, onert::ir::operation::BCQGather, onert::ir::operation::BinaryArithmetic, onert::ir::operation::BroadcastTo, onert::ir::operation::Bulk, onert::ir::operation::Comparison, onert::ir::operation::Concat, onert::ir::operation::Conv2D, onert::ir::operation::ConvertFp16ToFp32, onert::ir::operation::ConvertFp32ToFp16, onert::ir::operation::Custom, onert::ir::operation::DepthToSpace, onert::ir::operation::DepthwiseConv2D, onert::ir::operation::DetectionPostProcess, onert::ir::operation::Einsum, onert::ir::operation::ElementwiseActivation, onert::ir::operation::ElementwiseBinary, onert::ir::operation::ElementwiseUnary, onert::ir::operation::EmbeddingLookup, onert::ir::operation::ExpandDims, onert::ir::operation::Fill, onert::ir::operation::FullyConnected, onert::ir::operation::FusedBatchNorm, onert::ir::operation::Gather, onert::ir::operation::HashtableLookup, onert::ir::operation::If, onert::ir::operation::InstanceNorm, onert::ir::operation::L2Normalization, onert::ir::operation::LocalResponseNormalization, onert::ir::operation::LogSoftmax, onert::ir::operation::Loss, onert::ir::operation::LSTM, onert::ir::operation::MatrixBandPart, onert::ir::operation::OneHot, onert::ir::operation::Pack, onert::ir::operation::Pad, onert::ir::operation::Permute, onert::ir::operation::Pool2D, onert::ir::operation::Pow, onert::ir::operation::PReLU, onert::ir::operation::Range, onert::ir::operation::Rank, onert::ir::operation::Reduce, onert::ir::operation::Reshape, onert::ir::operation::ResizeBilinear, onert::ir::operation::ResizeNearestNeighbor, onert::ir::operation::Reverse, onert::ir::operation::RNN, onert::ir::operation::Select, onert::ir::operation::Shape, onert::ir::operation::Slice, onert::ir::operation::Softmax, onert::ir::operation::SpaceToBatchND, onert::ir::operation::SpaceToDepth, onert::ir::operation::Split, onert::ir::operation::SplitV, onert::ir::operation::SquaredDifference, onert::ir::operation::Squeeze, onert::ir::operation::StatelessRandomUniform, onert::ir::operation::StridedSlice, onert::ir::operation::Tile, onert::ir::operation::TopKV2, onert::ir::operation::Transpose, onert::ir::operation::TransposeConv, onert::ir::operation::Unpack, onert::ir::operation::While, and onert_test::ir::SimpleMock.

                                        -

                                        Referenced by onert::ir::train::TrainableGraph::btopolSortOperations(), onert::compiler::StaticShapeInferer::createStaticShapeInferers(), name(), and onert::compiler::ManualScheduler::schedule().

                                        +

                                        Referenced by onert::ir::train::TrainableGraph::btopolSortOperations(), onert::compiler::StaticShapeInferer::createStaticShapeInferers(), name(), and onert::compiler::ManualScheduler::schedule().

                                        diff --git a/structonert_1_1ir_1_1train_1_1_loss_info.html b/structonert_1_1ir_1_1train_1_1_loss_info.html index c4b6ae92d78..61bc9661223 100644 --- a/structonert_1_1ir_1_1train_1_1_loss_info.html +++ b/structonert_1_1ir_1_1train_1_1_loss_info.html @@ -187,7 +187,7 @@

                                        Definition at line 44 of file LossInfo.h.

                                        -

                                        Referenced by onert::ir::train::TrainingInfo::isValid(), onert::ir::train::operation::Loss::name(), nnfw_session::train_set_traininfo(), and onert::backend::train::KernelGenerator::visit().

                                        +

                                        Referenced by onert::ir::train::TrainingInfo::isValid(), onert::ir::train::operation::Loss::name(), nnfw_session::train_set_traininfo(), and onert::backend::train::KernelGenerator::visit().

                                        @@ -221,7 +221,7 @@

                                        Definition at line 45 of file LossInfo.h.

                                        -

                                        Referenced by onert::exec::train::TrainableExecutor::getLoss(), onert::ir::train::TrainingInfo::isValid(), and nnfw_session::train_set_traininfo().

                                        +

                                        Referenced by onert::exec::train::TrainableExecutor::getLoss(), onert::ir::train::TrainingInfo::isValid(), and nnfw_session::train_set_traininfo().

                                        diff --git a/structonert_1_1ir_1_1train_1_1_optimizer_info.html b/structonert_1_1ir_1_1train_1_1_optimizer_info.html index 5b03012125c..fed7eafd965 100644 --- a/structonert_1_1ir_1_1train_1_1_optimizer_info.html +++ b/structonert_1_1ir_1_1train_1_1_optimizer_info.html @@ -160,7 +160,7 @@

                                        Definition at line 32 of file OptimizerInfo.h.

                                        -

                                        Referenced by onert::backend::train::createOptimizer(), onert::ir::train::TrainingInfo::isValid(), and nnfw_session::train_set_traininfo().

                                        +

                                        Referenced by onert::backend::train::createOptimizer(), onert::ir::train::TrainingInfo::isValid(), and nnfw_session::train_set_traininfo().

                                        @@ -178,7 +178,7 @@

                                        Definition at line 31 of file OptimizerInfo.h.

                                        -

                                        Referenced by onert::backend::train::createOptimizer(), onert::ir::train::TrainingInfo::isValid(), and nnfw_session::train_set_traininfo().

                                        +

                                        Referenced by onert::backend::train::createOptimizer(), onert::ir::train::TrainingInfo::isValid(), and nnfw_session::train_set_traininfo().

                                        diff --git a/structtflchef_1_1_recipe_chef_context.html b/structtflchef_1_1_recipe_chef_context.html index a82a69fff4a..94eb10ef10a 100644 --- a/structtflchef_1_1_recipe_chef_context.html +++ b/structtflchef_1_1_recipe_chef_context.html @@ -122,7 +122,7 @@

                                        Definition at line 32 of file TFliteOpChef.h.

                                        -

                                        Referenced by tflchef::TFliteOpAbs::build(), tflchef::TFliteOpAdd::build(), tflchef::TFliteOpAddN::build(), tflchef::TFliteOpArgMax::build(), tflchef::TFliteOpArgMin::build(), tflchef::TFliteOpAveragePool2D::build(), tflchef::TFliteOpBatchMatMul::build(), tflchef::TFliteOpBatchToSpaceND::build(), tflchef::TFliteOpBidirectionalSequenceLSTM::build(), tflchef::TFliteOpBroadcastTo::build(), tflchef::TFliteOpCast::build(), tflchef::TFliteOpCeil::build(), tflchef::TFliteOpConcatenation::build(), tflchef::TFliteOpConv2D::build(), tflchef::TFliteOpCos::build(), tflchef::TFliteOpCumsum::build(), tflchef::TFliteOpDepthToSpace::build(), tflchef::TFliteOpDepthwiseConv2D::build(), tflchef::TFliteOpDequantize::build(), tflchef::TFliteOpDiv::build(), tflchef::TFliteOpELU::build(), tflchef::TFliteOpEqual::build(), tflchef::TFliteOpExp::build(), tflchef::TFliteOpExpandDims::build(), tflchef::TFliteOpFakeQuant::build(), tflchef::TFliteOpFill::build(), tflchef::TFliteOpFloor::build(), tflchef::TFliteOpFloorDiv::build(), tflchef::TFliteOpFloorMod::build(), tflchef::TFliteOpFullyConnected::build(), tflchef::TFliteOpGather::build(), tflchef::TFliteOpGatherNd::build(), tflchef::TFliteOpGelu::build(), tflchef::TFliteOpGreater::build(), tflchef::TFliteOpGreaterEqual::build(), tflchef::TFliteOpHardSwish::build(), tflchef::TFliteOpL2Normalize::build(), tflchef::TFliteOpL2Pool2D::build(), tflchef::TFliteOpLeakyRelu::build(), tflchef::TFliteOpLess::build(), tflchef::TFliteOpLessEqual::build(), tflchef::TFliteOpLocalResponseNormalization::build(), tflchef::TFliteOpLog::build(), tflchef::TFliteOpLogicalAnd::build(), tflchef::TFliteOpLogicalNot::build(), tflchef::TFliteOpLogicalOr::build(), tflchef::TFliteOpLogistic::build(), tflchef::TFliteOpLogSoftmax::build(), tflchef::TFliteOpMatrixDiag::build(), tflchef::TFliteOpMatrixSetDiag::build(), tflchef::TFliteOpMaximum::build(), tflchef::TFliteOpMaxPool2D::build(), tflchef::TFliteOpMean::build(), tflchef::TFliteOpMinimum::build(), tflchef::TFliteOpMirrorPad::build(), tflchef::TFliteOpMul::build(), tflchef::TFliteOpNeg::build(), tflchef::TFliteOpNonMaxSuppressionV4::build(), tflchef::TFliteOpNonMaxSuppressionV5::build(), tflchef::TFliteOpNotEqual::build(), tflchef::TFliteOpOneHot::build(), tflchef::TFliteOpPack::build(), tflchef::TFliteOpPad::build(), tflchef::TFliteOpPadV2::build(), tflchef::TFliteOpPow::build(), tflchef::TFliteOpPRelu::build(), tflchef::TFliteOpQuantize::build(), tflchef::TFliteOpRange::build(), tflchef::TFliteOpRank::build(), tflchef::TFliteOpReduceAny::build(), tflchef::TFliteOpReduceMax::build(), tflchef::TFliteOpReduceMin::build(), tflchef::TFliteOpReduceProd::build(), tflchef::TFliteOpReLU::build(), tflchef::TFliteOpReLU6::build(), tflchef::TFliteOpReLUN1To1::build(), tflchef::TFliteOpReshape::build(), tflchef::TFliteOpResizeBilinear::build(), tflchef::TFliteOpResizeNearestNeighbor::build(), tflchef::TFliteOpReverseSequence::build(), tflchef::TFliteOpReverseV2::build(), tflchef::TFliteOpRound::build(), tflchef::TFliteOpRsqrt::build(), tflchef::TFliteOpScatterNd::build(), tflchef::TFliteOpSegmentSum::build(), tflchef::TFliteOpSelect::build(), tflchef::TFliteOpSelectV2::build(), tflchef::TFliteOpShape::build(), tflchef::TFliteOpSin::build(), tflchef::TFliteOpSlice::build(), tflchef::TFliteOpSoftmax::build(), tflchef::TFliteOpSpaceToBatchND::build(), tflchef::TFliteOpSpaceToDepth::build(), tflchef::TFliteOpSparseToDense::build(), tflchef::TFliteOpSplit::build(), tflchef::TFliteOpSplitV::build(), tflchef::TFliteOpSqrt::build(), tflchef::TFliteOpSquare::build(), tflchef::TFliteOpSquaredDifference::build(), tflchef::TFliteOpSqueeze::build(), tflchef::TFliteOpStridedSlice::build(), tflchef::TFliteOpSub::build(), tflchef::TFliteOpSum::build(), tflchef::TFliteOpSVDF::build(), tflchef::TFliteOpTanh::build(), tflchef::TFliteOpTile::build(), tflchef::TFliteOpTopKV2::build(), tflchef::TFliteOpTranspose::build(), tflchef::TFliteOpTransposeConv::build(), tflchef::TFliteOpUnidirectionalSequenceLSTM::build(), tflchef::TFliteOpUnique::build(), tflchef::TFliteOpUnpack::build(), tflchef::TFliteOpWhere::build(), tflchef::TFliteOpWhile::build(), tflchef::TFliteOpZerosLike::build(), and tflchef::generate_recipe().

                                        +

                                        Referenced by tflchef::TFliteOpAbs::build(), tflchef::TFliteOpAdd::build(), tflchef::TFliteOpAddN::build(), tflchef::TFliteOpArgMax::build(), tflchef::TFliteOpArgMin::build(), tflchef::TFliteOpAveragePool2D::build(), tflchef::TFliteOpBatchMatMul::build(), tflchef::TFliteOpBatchToSpaceND::build(), tflchef::TFliteOpBidirectionalSequenceLSTM::build(), tflchef::TFliteOpBroadcastTo::build(), tflchef::TFliteOpCast::build(), tflchef::TFliteOpCeil::build(), tflchef::TFliteOpConcatenation::build(), tflchef::TFliteOpConv2D::build(), tflchef::TFliteOpCos::build(), tflchef::TFliteOpCumsum::build(), tflchef::TFliteOpDepthToSpace::build(), tflchef::TFliteOpDepthwiseConv2D::build(), tflchef::TFliteOpDequantize::build(), tflchef::TFliteOpDiv::build(), tflchef::TFliteOpELU::build(), tflchef::TFliteOpEqual::build(), tflchef::TFliteOpExp::build(), tflchef::TFliteOpExpandDims::build(), tflchef::TFliteOpFakeQuant::build(), tflchef::TFliteOpFill::build(), tflchef::TFliteOpFloor::build(), tflchef::TFliteOpFloorDiv::build(), tflchef::TFliteOpFloorMod::build(), tflchef::TFliteOpFullyConnected::build(), tflchef::TFliteOpGather::build(), tflchef::TFliteOpGatherNd::build(), tflchef::TFliteOpGelu::build(), tflchef::TFliteOpGreater::build(), tflchef::TFliteOpGreaterEqual::build(), tflchef::TFliteOpHardSwish::build(), tflchef::TFliteOpL2Normalize::build(), tflchef::TFliteOpL2Pool2D::build(), tflchef::TFliteOpLeakyRelu::build(), tflchef::TFliteOpLess::build(), tflchef::TFliteOpLessEqual::build(), tflchef::TFliteOpLocalResponseNormalization::build(), tflchef::TFliteOpLog::build(), tflchef::TFliteOpLogicalAnd::build(), tflchef::TFliteOpLogicalNot::build(), tflchef::TFliteOpLogicalOr::build(), tflchef::TFliteOpLogistic::build(), tflchef::TFliteOpLogSoftmax::build(), tflchef::TFliteOpMatrixDiag::build(), tflchef::TFliteOpMatrixSetDiag::build(), tflchef::TFliteOpMaximum::build(), tflchef::TFliteOpMaxPool2D::build(), tflchef::TFliteOpMean::build(), tflchef::TFliteOpMinimum::build(), tflchef::TFliteOpMirrorPad::build(), tflchef::TFliteOpMul::build(), tflchef::TFliteOpNeg::build(), tflchef::TFliteOpNonMaxSuppressionV4::build(), tflchef::TFliteOpNonMaxSuppressionV5::build(), tflchef::TFliteOpNotEqual::build(), tflchef::TFliteOpOneHot::build(), tflchef::TFliteOpPack::build(), tflchef::TFliteOpPad::build(), tflchef::TFliteOpPadV2::build(), tflchef::TFliteOpPow::build(), tflchef::TFliteOpPRelu::build(), tflchef::TFliteOpQuantize::build(), tflchef::TFliteOpRange::build(), tflchef::TFliteOpRank::build(), tflchef::TFliteOpReduceAny::build(), tflchef::TFliteOpReduceMax::build(), tflchef::TFliteOpReduceMin::build(), tflchef::TFliteOpReduceProd::build(), tflchef::TFliteOpReLU::build(), tflchef::TFliteOpReLU6::build(), tflchef::TFliteOpReLUN1To1::build(), tflchef::TFliteOpReshape::build(), tflchef::TFliteOpResizeBilinear::build(), tflchef::TFliteOpResizeNearestNeighbor::build(), tflchef::TFliteOpReverseSequence::build(), tflchef::TFliteOpReverseV2::build(), tflchef::TFliteOpRound::build(), tflchef::TFliteOpRsqrt::build(), tflchef::TFliteOpScatterNd::build(), tflchef::TFliteOpSegmentSum::build(), tflchef::TFliteOpSelect::build(), tflchef::TFliteOpSelectV2::build(), tflchef::TFliteOpShape::build(), tflchef::TFliteOpSin::build(), tflchef::TFliteOpSlice::build(), tflchef::TFliteOpSoftmax::build(), tflchef::TFliteOpSpaceToBatchND::build(), tflchef::TFliteOpSpaceToDepth::build(), tflchef::TFliteOpSparseToDense::build(), tflchef::TFliteOpSplit::build(), tflchef::TFliteOpSplitV::build(), tflchef::TFliteOpSqrt::build(), tflchef::TFliteOpSquare::build(), tflchef::TFliteOpSquaredDifference::build(), tflchef::TFliteOpSqueeze::build(), tflchef::TFliteOpStridedSlice::build(), tflchef::TFliteOpSub::build(), tflchef::TFliteOpSum::build(), tflchef::TFliteOpSVDF::build(), tflchef::TFliteOpTanh::build(), tflchef::TFliteOpTile::build(), tflchef::TFliteOpTopKV2::build(), tflchef::TFliteOpTranspose::build(), tflchef::TFliteOpTransposeConv::build(), tflchef::TFliteOpUnidirectionalSequenceLSTM::build(), tflchef::TFliteOpUnique::build(), tflchef::TFliteOpUnpack::build(), tflchef::TFliteOpWhere::build(), tflchef::TFliteOpWhile::build(), tflchef::TFliteOpZerosLike::build(), and tflchef::generate_recipe().

                                        @@ -140,7 +140,7 @@

                                        Definition at line 31 of file TFliteOpChef.h.

                                        -

                                        Referenced by tflchef::TFliteOpAbs::build(), tflchef::TFliteOpAdd::build(), tflchef::TFliteOpAddN::build(), tflchef::TFliteOpArgMax::build(), tflchef::TFliteOpArgMin::build(), tflchef::TFliteOpAveragePool2D::build(), tflchef::TFliteOpBatchMatMul::build(), tflchef::TFliteOpBatchToSpaceND::build(), tflchef::TFliteOpBidirectionalSequenceLSTM::build(), tflchef::TFliteOpBroadcastTo::build(), tflchef::TFliteOpCast::build(), tflchef::TFliteOpCeil::build(), tflchef::TFliteOpConcatenation::build(), tflchef::TFliteOpConv2D::build(), tflchef::TFliteOpCos::build(), tflchef::TFliteOpCumsum::build(), tflchef::TFliteOpDepthToSpace::build(), tflchef::TFliteOpDepthwiseConv2D::build(), tflchef::TFliteOpDequantize::build(), tflchef::TFliteOpDiv::build(), tflchef::TFliteOpELU::build(), tflchef::TFliteOpEqual::build(), tflchef::TFliteOpExp::build(), tflchef::TFliteOpExpandDims::build(), tflchef::TFliteOpFakeQuant::build(), tflchef::TFliteOpFill::build(), tflchef::TFliteOpFloor::build(), tflchef::TFliteOpFloorDiv::build(), tflchef::TFliteOpFloorMod::build(), tflchef::TFliteOpFullyConnected::build(), tflchef::TFliteOpGather::build(), tflchef::TFliteOpGatherNd::build(), tflchef::TFliteOpGelu::build(), tflchef::TFliteOpGreater::build(), tflchef::TFliteOpGreaterEqual::build(), tflchef::TFliteOpHardSwish::build(), tflchef::TFliteOpL2Normalize::build(), tflchef::TFliteOpL2Pool2D::build(), tflchef::TFliteOpLeakyRelu::build(), tflchef::TFliteOpLess::build(), tflchef::TFliteOpLessEqual::build(), tflchef::TFliteOpLocalResponseNormalization::build(), tflchef::TFliteOpLog::build(), tflchef::TFliteOpLogicalAnd::build(), tflchef::TFliteOpLogicalNot::build(), tflchef::TFliteOpLogicalOr::build(), tflchef::TFliteOpLogistic::build(), tflchef::TFliteOpLogSoftmax::build(), tflchef::TFliteOpMatrixDiag::build(), tflchef::TFliteOpMatrixSetDiag::build(), tflchef::TFliteOpMaximum::build(), tflchef::TFliteOpMaxPool2D::build(), tflchef::TFliteOpMean::build(), tflchef::TFliteOpMinimum::build(), tflchef::TFliteOpMirrorPad::build(), tflchef::TFliteOpMul::build(), tflchef::TFliteOpNeg::build(), tflchef::TFliteOpNonMaxSuppressionV4::build(), tflchef::TFliteOpNonMaxSuppressionV5::build(), tflchef::TFliteOpNotEqual::build(), tflchef::TFliteOpOneHot::build(), tflchef::TFliteOpPack::build(), tflchef::TFliteOpPad::build(), tflchef::TFliteOpPadV2::build(), tflchef::TFliteOpPow::build(), tflchef::TFliteOpPRelu::build(), tflchef::TFliteOpQuantize::build(), tflchef::TFliteOpRange::build(), tflchef::TFliteOpRank::build(), tflchef::TFliteOpReduceAny::build(), tflchef::TFliteOpReduceMax::build(), tflchef::TFliteOpReduceMin::build(), tflchef::TFliteOpReduceProd::build(), tflchef::TFliteOpReLU::build(), tflchef::TFliteOpReLU6::build(), tflchef::TFliteOpReLUN1To1::build(), tflchef::TFliteOpReshape::build(), tflchef::TFliteOpResizeBilinear::build(), tflchef::TFliteOpResizeNearestNeighbor::build(), tflchef::TFliteOpReverseSequence::build(), tflchef::TFliteOpReverseV2::build(), tflchef::TFliteOpRound::build(), tflchef::TFliteOpRsqrt::build(), tflchef::TFliteOpScatterNd::build(), tflchef::TFliteOpSegmentSum::build(), tflchef::TFliteOpSelect::build(), tflchef::TFliteOpSelectV2::build(), tflchef::TFliteOpShape::build(), tflchef::TFliteOpSin::build(), tflchef::TFliteOpSlice::build(), tflchef::TFliteOpSoftmax::build(), tflchef::TFliteOpSpaceToBatchND::build(), tflchef::TFliteOpSpaceToDepth::build(), tflchef::TFliteOpSparseToDense::build(), tflchef::TFliteOpSplit::build(), tflchef::TFliteOpSplitV::build(), tflchef::TFliteOpSqrt::build(), tflchef::TFliteOpSquare::build(), tflchef::TFliteOpSquaredDifference::build(), tflchef::TFliteOpSqueeze::build(), tflchef::TFliteOpStridedSlice::build(), tflchef::TFliteOpSub::build(), tflchef::TFliteOpSum::build(), tflchef::TFliteOpSVDF::build(), tflchef::TFliteOpTanh::build(), tflchef::TFliteOpTile::build(), tflchef::TFliteOpTopKV2::build(), tflchef::TFliteOpTranspose::build(), tflchef::TFliteOpTransposeConv::build(), tflchef::TFliteOpUnidirectionalSequenceLSTM::build(), tflchef::TFliteOpUnique::build(), tflchef::TFliteOpUnpack::build(), tflchef::TFliteOpWhere::build(), tflchef::TFliteOpWhile::build(), tflchef::TFliteOpZerosLike::build(), and tflchef::generate_recipe().

                                        +

                                        Referenced by tflchef::TFliteOpAbs::build(), tflchef::TFliteOpAdd::build(), tflchef::TFliteOpAddN::build(), tflchef::TFliteOpArgMax::build(), tflchef::TFliteOpArgMin::build(), tflchef::TFliteOpAveragePool2D::build(), tflchef::TFliteOpBatchMatMul::build(), tflchef::TFliteOpBatchToSpaceND::build(), tflchef::TFliteOpBidirectionalSequenceLSTM::build(), tflchef::TFliteOpBroadcastTo::build(), tflchef::TFliteOpCast::build(), tflchef::TFliteOpCeil::build(), tflchef::TFliteOpConcatenation::build(), tflchef::TFliteOpConv2D::build(), tflchef::TFliteOpCos::build(), tflchef::TFliteOpCumsum::build(), tflchef::TFliteOpDepthToSpace::build(), tflchef::TFliteOpDepthwiseConv2D::build(), tflchef::TFliteOpDequantize::build(), tflchef::TFliteOpDiv::build(), tflchef::TFliteOpELU::build(), tflchef::TFliteOpEqual::build(), tflchef::TFliteOpExp::build(), tflchef::TFliteOpExpandDims::build(), tflchef::TFliteOpFakeQuant::build(), tflchef::TFliteOpFill::build(), tflchef::TFliteOpFloor::build(), tflchef::TFliteOpFloorDiv::build(), tflchef::TFliteOpFloorMod::build(), tflchef::TFliteOpFullyConnected::build(), tflchef::TFliteOpGather::build(), tflchef::TFliteOpGatherNd::build(), tflchef::TFliteOpGelu::build(), tflchef::TFliteOpGreater::build(), tflchef::TFliteOpGreaterEqual::build(), tflchef::TFliteOpHardSwish::build(), tflchef::TFliteOpL2Normalize::build(), tflchef::TFliteOpL2Pool2D::build(), tflchef::TFliteOpLeakyRelu::build(), tflchef::TFliteOpLess::build(), tflchef::TFliteOpLessEqual::build(), tflchef::TFliteOpLocalResponseNormalization::build(), tflchef::TFliteOpLog::build(), tflchef::TFliteOpLogicalAnd::build(), tflchef::TFliteOpLogicalNot::build(), tflchef::TFliteOpLogicalOr::build(), tflchef::TFliteOpLogistic::build(), tflchef::TFliteOpLogSoftmax::build(), tflchef::TFliteOpMatrixDiag::build(), tflchef::TFliteOpMatrixSetDiag::build(), tflchef::TFliteOpMaximum::build(), tflchef::TFliteOpMaxPool2D::build(), tflchef::TFliteOpMean::build(), tflchef::TFliteOpMinimum::build(), tflchef::TFliteOpMirrorPad::build(), tflchef::TFliteOpMul::build(), tflchef::TFliteOpNeg::build(), tflchef::TFliteOpNonMaxSuppressionV4::build(), tflchef::TFliteOpNonMaxSuppressionV5::build(), tflchef::TFliteOpNotEqual::build(), tflchef::TFliteOpOneHot::build(), tflchef::TFliteOpPack::build(), tflchef::TFliteOpPad::build(), tflchef::TFliteOpPadV2::build(), tflchef::TFliteOpPow::build(), tflchef::TFliteOpPRelu::build(), tflchef::TFliteOpQuantize::build(), tflchef::TFliteOpRange::build(), tflchef::TFliteOpRank::build(), tflchef::TFliteOpReduceAny::build(), tflchef::TFliteOpReduceMax::build(), tflchef::TFliteOpReduceMin::build(), tflchef::TFliteOpReduceProd::build(), tflchef::TFliteOpReLU::build(), tflchef::TFliteOpReLU6::build(), tflchef::TFliteOpReLUN1To1::build(), tflchef::TFliteOpReshape::build(), tflchef::TFliteOpResizeBilinear::build(), tflchef::TFliteOpResizeNearestNeighbor::build(), tflchef::TFliteOpReverseSequence::build(), tflchef::TFliteOpReverseV2::build(), tflchef::TFliteOpRound::build(), tflchef::TFliteOpRsqrt::build(), tflchef::TFliteOpScatterNd::build(), tflchef::TFliteOpSegmentSum::build(), tflchef::TFliteOpSelect::build(), tflchef::TFliteOpSelectV2::build(), tflchef::TFliteOpShape::build(), tflchef::TFliteOpSin::build(), tflchef::TFliteOpSlice::build(), tflchef::TFliteOpSoftmax::build(), tflchef::TFliteOpSpaceToBatchND::build(), tflchef::TFliteOpSpaceToDepth::build(), tflchef::TFliteOpSparseToDense::build(), tflchef::TFliteOpSplit::build(), tflchef::TFliteOpSplitV::build(), tflchef::TFliteOpSqrt::build(), tflchef::TFliteOpSquare::build(), tflchef::TFliteOpSquaredDifference::build(), tflchef::TFliteOpSqueeze::build(), tflchef::TFliteOpStridedSlice::build(), tflchef::TFliteOpSub::build(), tflchef::TFliteOpSum::build(), tflchef::TFliteOpSVDF::build(), tflchef::TFliteOpTanh::build(), tflchef::TFliteOpTile::build(), tflchef::TFliteOpTopKV2::build(), tflchef::TFliteOpTranspose::build(), tflchef::TFliteOpTransposeConv::build(), tflchef::TFliteOpUnidirectionalSequenceLSTM::build(), tflchef::TFliteOpUnique::build(), tflchef::TFliteOpUnpack::build(), tflchef::TFliteOpWhere::build(), tflchef::TFliteOpWhile::build(), tflchef::TFliteOpZerosLike::build(), and tflchef::generate_recipe().

                                        diff --git a/tensor__gen_8cpp_source.html b/tensor__gen_8cpp_source.html index b90fca6ac52..7a203d85345 100644 --- a/tensor__gen_8cpp_source.html +++ b/tensor__gen_8cpp_source.html @@ -272,7 +272,7 @@
                                        165}
                                        166
                                        -
                                        167int main(int argc, char *argv[])
                                        +
                                        167int main(int argc, char *argv[])
                                        168{
                                        169 if (argc < 4)
                                        170 {
                                        @@ -336,7 +336,7 @@
                                        NodeFiller< ARG_TYPE_1, ARG_TYPE_2 > fill(ARG_TYPE_1 **arg_1, ARG_TYPE_2 **arg_2)
                                        Definition NodeFiller.h:72
                                        -
                                        int main()
                                        Definition main.cpp:58
                                        +
                                        int main()
                                        Definition main.cpp:58

                                        diff --git a/test__data_8h.html b/test__data_8h.html index 7a7ae11c8d2..936d4b05bd9 100644 --- a/test__data_8h.html +++ b/test__data_8h.html @@ -336,7 +336,7 @@

                                        236 14.101562, 0.000000, 6.914062, 0.000000, 0.000000, 0.000000, 6.914062, 0.000000, 10.703125,

                                        237 0.000000, 10.078125, 0.000000, 5.195312, 0.000000, 10.078125, 0.000000};

                                        -

                                        Referenced by entry(), and infer().

                                        +

                                        Referenced by entry(), and infer().

                                        diff --git a/tf2circle_8cpp.html b/tf2circle_8cpp.html index 851d6725bc7..0de7742bc20 100644 --- a/tf2circle_8cpp.html +++ b/tf2circle_8cpp.html @@ -199,8 +199,8 @@

                                        209

                                        210 try
                                        211 {
                                        -
                                        -
                                        213 return entry(argc, argv);
                                        +
                                        212 EntryFunctor entry;
                                        +
                                        213 return entry(argc, argv);
                                        214 }
                                        215 catch (...)
                                        216 {
                                        @@ -211,9 +211,9 @@

                                        221 // EX_SOFTWARE defined in "sysexits.h"

                                        222 return 70;
                                        223}
                                        -
                                        int entry(const int argc, char **argv)
                                        Definition Driver.cpp:53
                                        +
                                        int entry(const int argc, char **argv)
                                        Definition Driver.cpp:53

                                        -

                                        References entry().

                                        +

                                        References entry().

                                        diff --git a/tf2circle_8cpp_source.html b/tf2circle_8cpp_source.html index 32fba889f4b..116540112f5 100644 --- a/tf2circle_8cpp_source.html +++ b/tf2circle_8cpp_source.html @@ -305,14 +305,14 @@
                                        204} // namespace
                                        205
                                        -
                                        206int main(int argc, char **argv)
                                        +
                                        206int main(int argc, char **argv)
                                        207{
                                        208 // TODO Add "signal" handler here
                                        209
                                        210 try
                                        211 {
                                        -
                                        212 EntryFunctor entry;
                                        -
                                        213 return entry(argc, argv);
                                        +
                                        212 EntryFunctor entry;
                                        +
                                        213 return entry(argc, argv);
                                        214 }
                                        215 catch (...)
                                        216 {
                                        @@ -343,7 +343,7 @@ -
                                        int entry(const int argc, char **argv)
                                        Definition Driver.cpp:53
                                        +
                                        int entry(const int argc, char **argv)
                                        Definition Driver.cpp:53
                                        volatile const char info[]
                                        @@ -356,7 +356,7 @@
                                        std::vector< std::unique_ptr< ParsedTensor > > parse(const char *info_path)
                                        Function to parse test.info.
                                        void load_customop_conf(const std::string &path, moco::ModelSignature &sig)
                                        Loads customop.conf into ModelSignature.
                                        -
                                        int main()
                                        Definition main.cpp:58
                                        +
                                        int main()
                                        Definition main.cpp:58
                                        static hermes::Context * get(void)
                                        virtual void append(std::unique_ptr< Sink > &&)=0
                                        static hermes::Context * get(void)
                                        diff --git a/tf2nnpkg_8cpp.html b/tf2nnpkg_8cpp.html index 6dc0f7f187d..e2e39079b37 100644 --- a/tf2nnpkg_8cpp.html +++ b/tf2nnpkg_8cpp.html @@ -201,8 +201,8 @@

                                        285

                                        286 try
                                        287 {
                                        -
                                        -
                                        289 return entry(argc, argv);
                                        +
                                        288 EntryFunctor entry;
                                        +
                                        289 return entry(argc, argv);
                                        290 }
                                        291 catch (...)
                                        292 {
                                        @@ -213,9 +213,9 @@

                                        297 // EX_SOFTWARE defined in "sysexits.h"

                                        298 return 70;
                                        299}
                                        -
                                        int entry(const int argc, char **argv)
                                        Definition Driver.cpp:53
                                        +
                                        int entry(const int argc, char **argv)
                                        Definition Driver.cpp:53
                                        -

                                        References entry().

                                        +

                                        References entry().

                                        diff --git a/tf2nnpkg_8cpp_source.html b/tf2nnpkg_8cpp_source.html index 05f05bcbc83..eb35abca640 100644 --- a/tf2nnpkg_8cpp_source.html +++ b/tf2nnpkg_8cpp_source.html @@ -381,14 +381,14 @@
                                        280} // namespace
                                        281
                                        -
                                        282int main(int argc, char **argv)
                                        +
                                        282int main(int argc, char **argv)
                                        283{
                                        284 // TODO Add "signal" handler here
                                        285
                                        286 try
                                        287 {
                                        -
                                        288 EntryFunctor entry;
                                        -
                                        289 return entry(argc, argv);
                                        +
                                        288 EntryFunctor entry;
                                        +
                                        289 return entry(argc, argv);
                                        290 }
                                        291 catch (...)
                                        292 {
                                        @@ -419,7 +419,7 @@ -
                                        int entry(const int argc, char **argv)
                                        Definition Driver.cpp:53
                                        +
                                        int entry(const int argc, char **argv)
                                        Definition Driver.cpp:53
                                        @@ -439,7 +439,7 @@
                                        std::vector< std::unique_ptr< ParsedTensor > > parse(const char *info_path)
                                        Function to parse test.info.
                                        -
                                        int main()
                                        Definition main.cpp:58
                                        +
                                        int main()
                                        Definition main.cpp:58
                                        static hermes::Context * get(void)
                                        virtual void append(std::unique_ptr< Sink > &&)=0
                                        static hermes::Context * get(void)
                                        diff --git a/tflchef_2core_2src_2_model_chef_8cpp.html b/tflchef_2core_2src_2_model_chef_8cpp.html index ed81be21f77..658e5a87ca6 100644 --- a/tflchef_2core_2src_2_model_chef_8cpp.html +++ b/tflchef_2core_2src_2_model_chef_8cpp.html @@ -104,7 +104,7 @@ #include "OpChef.h"
                                        #include "OpChefs.h"
                                        #include <souschef/Dataset.h>
                                        -#include <souschef/Dims.h>
                                        +#include <souschef/Dims.h>
                                        #include "Log.h"
                                        #include <iterator>
                                        #include <map>
                                        diff --git a/tflchef_2core_2src_2_model_chef_8cpp_source.html b/tflchef_2core_2src_2_model_chef_8cpp_source.html index 447f93e3bd9..b294a7e8fa7 100644 --- a/tflchef_2core_2src_2_model_chef_8cpp_source.html +++ b/tflchef_2core_2src_2_model_chef_8cpp_source.html @@ -125,7 +125,7 @@
                                        26#include "OpChefs.h"
                                        27
                                        28#include <souschef/Dataset.h>
                                        -
                                        29#include <souschef/Dims.h>
                                        +
                                        29#include <souschef/Dims.h>
                                        30
                                        31#include "Log.h"
                                        32
                                        @@ -1050,10 +1050,10 @@
                                        This file provides string <-> number cast helpers.
                                        Definition Arguments.h:24
                                        -
                                        Dims< int32_t > as_dims(const SHAPETYPE &shape)
                                        Definition Dims.h:30
                                        +
                                        Dims< int32_t > as_dims(const SHAPETYPE &shape)
                                        Definition Dims.h:30
                                        Dataset< T > as_dataset(const ::google::protobuf::RepeatedPtrField< T > &field)
                                        Definition Dataset.h:72
                                        RangedArguments< InputIt > ranged_arguments(InputIt beg, InputIt end)
                                        -
                                        int32_t element_count(const Dims< int32_t > &dims)
                                        Definition Dims.h:42
                                        +
                                        int32_t element_count(const Dims< int32_t > &dims)
                                        Definition Dims.h:42
                                        @@ -1061,7 +1061,7 @@
                                        GeneratedModel cook(const ModelRecipe &model_recipe)
                                        - +
                                        virtual size_t size(void) const =0
                                        diff --git a/tflite__dot__dumper_2model__dump_8cpp_source.html b/tflite__dot__dumper_2model__dump_8cpp_source.html index d502546c133..2dd9c7591cc 100644 --- a/tflite__dot__dumper_2model__dump_8cpp_source.html +++ b/tflite__dot__dumper_2model__dump_8cpp_source.html @@ -125,7 +125,7 @@
                                        26using namespace mir;
                                        27
                                        -
                                        28int main(int argc, const char **argv)
                                        +
                                        28int main(int argc, const char **argv)
                                        29{
                                        30 cli::Option<std::string> model_path(cli::optname("--model"), cli::overview("Path to the model"));
                                        @@ -153,7 +153,7 @@
                                        void dumpGraph(const Graph *graph, std::ostream &stream)
                                        -
                                        int main()
                                        Definition main.cpp:58
                                        +
                                        int main()
                                        Definition main.cpp:58
                                        diff --git a/traininfo__loader_8cc_source.html b/traininfo__loader_8cc_source.html index 6016d9de785..5da2483d3aa 100644 --- a/traininfo__loader_8cc_source.html +++ b/traininfo__loader_8cc_source.html @@ -161,66 +161,81 @@
                                        62 // fill ir_loss from circle_loss
                                        63 ir::train::LossInfo ir_loss;
                                        64 const circle::LossFn circle_loss = circle_model->lossfn();
                                        -
                                        65
                                        -
                                        66 switch (circle_loss)
                                        -
                                        67 {
                                        -
                                        68 case circle::LossFn::LossFn_CATEGORICAL_CROSSENTROPY:
                                        - -
                                        70 break;
                                        -
                                        71 case circle::LossFn::LossFn_MEAN_SQUARED_ERROR:
                                        - -
                                        73 break;
                                        -
                                        74 case circle::LossFn::LossFn_SPARSE_CATEGORICAL_CROSSENTROPY:
                                        -
                                        75 // TODO enable this conversion after core support sparse_categorial_crossentropy
                                        -
                                        76 throw std::runtime_error{"'sparse_categorical_crossentropy' is not supported yet"};
                                        -
                                        77 default:
                                        -
                                        78 throw std::runtime_error{"unknown loss function"};
                                        -
                                        79 }
                                        -
                                        80
                                        -
                                        81 // TODO update circle schema to support loss reduction type
                                        -
                                        82 return ir_loss;
                                        -
                                        83}
                                        -
                                        84} // namespace
                                        -
                                        85
                                        -
                                        -
                                        86std::unique_ptr<ir::train::TrainingInfo> loadTrainingInfo(const uint8_t *buffer, const size_t size)
                                        -
                                        87{
                                        -
                                        88 assert(buffer != nullptr);
                                        -
                                        89
                                        -
                                        90 flatbuffers::Verifier v(buffer, size);
                                        -
                                        91 bool verified = circle::VerifyModelTrainingBuffer(v);
                                        -
                                        92 if (not verified)
                                        -
                                        93 throw std::runtime_error{"TrainingInfo buffer is not accessible"};
                                        -
                                        94
                                        -
                                        95 const circle::ModelTraining *circle_model =
                                        -
                                        96 circle::GetModelTraining(static_cast<const void *>(buffer));
                                        +
                                        65 const circle::LossReductionType circle_loss_rdt = circle_model->loss_reduction_type();
                                        +
                                        66
                                        +
                                        67 switch (circle_loss)
                                        +
                                        68 {
                                        +
                                        69 case circle::LossFn::LossFn_CATEGORICAL_CROSSENTROPY:
                                        + +
                                        71 break;
                                        +
                                        72 case circle::LossFn::LossFn_MEAN_SQUARED_ERROR:
                                        + +
                                        74 break;
                                        +
                                        75 case circle::LossFn::LossFn_SPARSE_CATEGORICAL_CROSSENTROPY:
                                        +
                                        76 // TODO enable this conversion after core support sparse_categorial_crossentropy
                                        +
                                        77 throw std::runtime_error{"'sparse_categorical_crossentropy' is not supported yet"};
                                        +
                                        78 default:
                                        +
                                        79 throw std::runtime_error{"unknown loss function"};
                                        +
                                        80 }
                                        +
                                        81
                                        +
                                        82 switch (circle_loss_rdt)
                                        +
                                        83 {
                                        +
                                        84 case circle::LossReductionType::LossReductionType_SumOverBatchSize:
                                        + +
                                        86 break;
                                        +
                                        87 case circle::LossReductionType::LossReductionType_Sum:
                                        + +
                                        89 break;
                                        +
                                        90 default:
                                        +
                                        91 throw std::runtime_error{"unknown loss reduction type"};
                                        +
                                        92 }
                                        +
                                        93
                                        +
                                        94 return ir_loss;
                                        +
                                        95}
                                        +
                                        96} // namespace
                                        97
                                        -
                                        98 assert(circle_model != nullptr);
                                        -
                                        99
                                        -
                                        100 auto tinfo = std::make_unique<ir::train::TrainingInfo>();
                                        -
                                        101 {
                                        -
                                        102 tinfo->setBatchSize(circle_model->batch_size());
                                        -
                                        103 tinfo->setOptimizerInfo(loadOptimizerInfo(circle_model));
                                        -
                                        104 tinfo->setLossInfo(loadLossInfo(circle_model));
                                        -
                                        105 }
                                        -
                                        106 return tinfo;
                                        -
                                        107}
                                        +
                                        +
                                        98std::unique_ptr<ir::train::TrainingInfo> loadTrainingInfo(const uint8_t *buffer, const size_t size)
                                        +
                                        99{
                                        +
                                        100 assert(buffer != nullptr);
                                        +
                                        101
                                        +
                                        102 flatbuffers::Verifier v(buffer, size);
                                        +
                                        103 bool verified = circle::VerifyModelTrainingBuffer(v);
                                        +
                                        104 if (not verified)
                                        +
                                        105 throw std::runtime_error{"TrainingInfo buffer is not accessible"};
                                        +
                                        106
                                        +
                                        107 const circle::ModelTraining *circle_model =
                                        +
                                        108 circle::GetModelTraining(static_cast<const void *>(buffer));
                                        +
                                        109
                                        +
                                        110 assert(circle_model != nullptr);
                                        +
                                        111
                                        +
                                        112 auto tinfo = std::make_unique<ir::train::TrainingInfo>();
                                        +
                                        113 {
                                        +
                                        114 tinfo->setBatchSize(circle_model->batch_size());
                                        +
                                        115 tinfo->setOptimizerInfo(loadOptimizerInfo(circle_model));
                                        +
                                        116 tinfo->setLossInfo(loadLossInfo(circle_model));
                                        +
                                        117 }
                                        +
                                        118 return tinfo;
                                        +
                                        119}
                                        -
                                        108
                                        -
                                        109} // namespace traininfo_loader
                                        -
                                        110} // namespace train
                                        -
                                        111} // namespace onert
                                        +
                                        120
                                        +
                                        121} // namespace traininfo_loader
                                        +
                                        122} // namespace train
                                        +
                                        123} // namespace onert
                                        + +
                                        const char *const TRAININFO_METADATA_NAME
                                        -
                                        std::unique_ptr< ir::train::TrainingInfo > loadTrainingInfo(const uint8_t *buffer, const size_t size)
                                        +
                                        std::unique_ptr< ir::train::TrainingInfo > loadTrainingInfo(const uint8_t *buffer, const size_t size)
                                        int32_t size[5]
                                        Definition Slice.cpp:35
                                        +
                                        LossReductionType reduction_type
                                        Definition LossInfo.h:45
                                        diff --git a/traininfo__loader_8h_source.html b/traininfo__loader_8h_source.html index 9c7879e9743..7a269e44a9e 100644 --- a/traininfo__loader_8h_source.html +++ b/traininfo__loader_8h_source.html @@ -142,7 +142,7 @@
                                        39#endif // __CIRCLE_TRAININFO_LOADER_H__
                                        const char *const TRAININFO_METADATA_NAME
                                        -
                                        std::unique_ptr< ir::train::TrainingInfo > loadTrainingInfo(const uint8_t *buffer, const size_t size)
                                        +
                                        std::unique_ptr< ir::train::TrainingInfo > loadTrainingInfo(const uint8_t *buffer, const size_t size)
                                        int32_t size[5]
                                        Definition Slice.cpp:35
                                        diff --git a/utils_8py_source.html b/utils_8py_source.html index 47879be5f9b..105994a64ed 100644 --- a/utils_8py_source.html +++ b/utils_8py_source.html @@ -240,7 +240,7 @@
                                        128def safemain(main, mainpath):
                                        129 """execute given method and print with program name for all uncaught exceptions"""
                                        130 try:
                                        -
                                        131 main()
                                        +
                                        131 main()
                                        132 except Exception as e:
                                        133 prog_name = os.path.basename(mainpath)
                                        134 print(f"{prog_name}: {type(e).__name__}: " + str(e), file=sys.stderr)
                                        @@ -384,7 +384,7 @@
                                        parse_cfg(Union[str, None] config_path, str section_to_parse, args)
                                        Definition utils.py:87
                                        add_default_arg(parser)
                                        Definition utils.py:32
                                        safemain(main, mainpath)
                                        Definition utils.py:128
                                        -
                                        int main()
                                        Definition main.cpp:58
                                        +
                                        int main()
                                        Definition main.cpp:58