[nnpackage] Update circle schema to 0.6 (Samsung#11382)

This commit updates schema to support more ops and options.

ONE-DCO-1.0-Signed-off-by: Hyeongseok Oh <[email protected]>
Co-authored-by: SaeHie Park <[email protected]>

nnpackage/schema/circle_schema.fbs

@@ -30,6 +30,7 @@
 // Version 0.3: SHUFFLED16x1FLOAT32 is added.
 // Version 0.4: Base up to TensorFlow Lite v2.7.0 schema.
 // Version 0.5: Base up to TensorFlow Lite v2.10.1 schema.
+// Version 0.6: Base up to TensorFlow Lite v2.13.0 schema.
 
 namespace circle;
 
@@ -62,7 +63,8 @@ enum TensorType : byte {
   RESOURCE = 13,
   VARIANT = 14,
   UINT32 = 15,
-  UINT16 = 16
+  UINT16 = 16,
+  INT4 = 17,
 }
 
 // Custom quantization parameters for experimenting with new quantization
@@ -202,6 +204,16 @@ table SparsityParameters {
   dim_metadata:[DimensionMetadata];
 }
 
+// The nested tensor type for VARIANT type.
+table VariantSubType {
+  // The tensor shape.
+  shape:[int];
+  type:TensorType;
+  // If false, the rank or the number of tensor dimensions is unknown.
+  // If false, "shape" must be [].
+  has_rank: bool = false;
+}
+
 table Tensor {
   // The tensor shape. The meaning of each entry is operator-specific but
   // builtin ops use: [batch size, height, width, number of channels] (That's
@@ -233,6 +245,12 @@ table Tensor {
   // If false, the rank or the number of tensor dimensions is unknown.
   // If false, "shape" must be [].
   has_rank: bool = false;
+
+  // The nested Tensor types for VARIANT type. This is always empty for
+  // non-VARIANT types. This is optional because the nested type can be omitted.
+  // Currently only 1 subtype is supported. The field is defined as an array for
+  // flexibility of supporting multiple subtypes in the future.
+  variant_tensors:[VariantSubType];
 }
 
 // A list of builtin operators. Builtin operators are slightly faster than custom
@@ -406,7 +424,12 @@ enum BuiltinOperator : int32 {
   UNSORTED_SEGMENT_PROD = 153,
   UNSORTED_SEGMENT_MAX = 154,
   UNSORTED_SEGMENT_SUM = 155,
-  ATAN2 = 156
+  ATAN2 = 156,
+  UNSORTED_SEGMENT_MIN = 157,
+  SIGN = 158,
+  BITCAST = 159,
+  BITWISE_XOR = 160,
+  RIGHT_SHIFT = 161,
 }
 // LINT.ThenChange(nnapi_linter/linter.proto)
 
@@ -531,8 +554,13 @@ union BuiltinOptions {
   DynamicUpdateSliceOptions,
   UnsortedSegmentProdOptions,
   UnsortedSegmentMaxOptions,
+  UnsortedSegmentMinOptions,
   UnsortedSegmentSumOptions,
   ATan2Options,
+  SignOptions,
+  BitcastOptions,
+  BitwiseXorOptions,
+  RightShiftOptions,
   BCQGatherOptions = 252,
   BCQFullyConnectedOptions = 253,
   InstanceNormOptions = 254,
@@ -727,8 +755,11 @@ table UnidirectionalSequenceLSTMOptions {
   // If true then first dimension is sequence, otherwise batch.
   time_major:bool;
 
-  // Parameter for Unidirectional Sequence LSTM version 4.
+  // Parameter for Unidirectional Sequence LSTM version 3.
   asymmetric_quantize_inputs:bool;
+
+  // Parameter for unidirectional sequence RNN version 4.
+  diagonal_recurrent_tensors:bool;
 }
 
 table BidirectionalSequenceLSTMOptions {
@@ -907,9 +938,13 @@ table SliceOptions {
 }
 
 table TransposeConvOptions {
+  // Parameters supported by version 1, 2, 3:
   padding:Padding;
   stride_w:int;
   stride_h:int;
+
+  // Parameters supported by version 4:
+  fused_activation_function:ActivationFunctionType = NONE;
 }
 
 table ExpandDimsOptions {
@@ -1150,6 +1185,21 @@ table UnsortedSegmentSumOptions {
 table ATan2Options {
 }
 
+table UnsortedSegmentMinOptions{
+}
+
+table SignOptions {
+}
+
+table BitcastOptions {
+}
+
+table BitwiseXorOptions {
+}
+
+table RightShiftOptions {
+}
+
 table BCQGatherOptions {
   input_hidden_size: int;
   axis: int;