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add plt torch case, test=model
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@Zeref996
Zeref996 committed Jan 10, 2025
1 parent 094a8a1 commit 95be309
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Showing 95 changed files with 3,886 additions and 6 deletions.
45 changes: 45 additions & 0 deletions framework/e2e/PaddleLT_new/layerApicase/math_zero_size/acos_zero_size_0_func.py
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import numpy as np
import paddle


class LayerCase(paddle.nn.Layer):
"""
case名称: acos_zero_size_func
"""

def __init__(self):
super(LayerCase, self).__init__()

def forward(self, x, ):
"""
forward
"""

paddle.seed(33)
np.random.seed(33)
out = paddle.acos(x, )
return out



def create_inputspec():
inputspec = (
paddle.static.InputSpec(shape=(-1, -1, -1, -1), dtype=paddle.float32, stop_gradient=False),
)
return inputspec

def create_tensor_inputs():
"""
paddle tensor
"""
inputs = (paddle.to_tensor(-1 + (1 - -1) * np.random.random([12, 0, 10, 10]).astype('float32'), dtype='float32', stop_gradient=False), )
return inputs


def create_numpy_inputs():
"""
numpy array
"""
inputs = (-1 + (1 - -1) * np.random.random([12, 0, 10, 10]).astype('float32'), )
return inputs

45 changes: 45 additions & 0 deletions framework/e2e/PaddleLT_new/layerApicase/math_zero_size/acosh_zero_size_0_func.py
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import numpy as np
import paddle


class LayerCase(paddle.nn.Layer):
"""
case名称: acosh_zero_size_func
"""

def __init__(self):
super(LayerCase, self).__init__()

def forward(self, x, ):
"""
forward
"""

paddle.seed(33)
np.random.seed(33)
out = paddle.acosh(x, )
return out



def create_inputspec():
inputspec = (
paddle.static.InputSpec(shape=(-1, -1, -1, -1), dtype=paddle.float32, stop_gradient=False),
)
return inputspec

def create_tensor_inputs():
"""
paddle tensor
"""
inputs = (paddle.to_tensor(-1 + (1 - -1) * np.random.random([12, 0, 10, 10]).astype('float32'), dtype='float32', stop_gradient=False), )
return inputs


def create_numpy_inputs():
"""
numpy array
"""
inputs = (-1 + (1 - -1) * np.random.random([12, 0, 10, 10]).astype('float32'), )
return inputs

55 changes: 55 additions & 0 deletions framework/e2e/PaddleLT_new/layerApicase/math_zero_size/addmm_zero_size_0_func.py
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import numpy as np
import paddle


class LayerCase(paddle.nn.Layer):
"""
case名称: addmm_zero_size_0_func
"""

def __init__(self):
super(LayerCase, self).__init__()

def forward(self, data, x, y, ):
"""
forward
"""

paddle.seed(33)
np.random.seed(33)
out = paddle.addmm(data, x, y, alpha=5.0, beta=0.5 )
return out



def create_inputspec():
inputspec = (
paddle.static.InputSpec(shape=(-1, -1, -1), dtype=paddle.float32, stop_gradient=False),
paddle.static.InputSpec(shape=(-1, -1, -1), dtype=paddle.float32, stop_gradient=False),
paddle.static.InputSpec(shape=(-1, -1, -1), dtype=paddle.float32, stop_gradient=False),
)
return inputspec

def create_tensor_inputs():
"""
paddle tensor
"""
inputs = (
paddle.to_tensor(-10 + (10 - -10) * np.random.random([100, 0]).astype('float32'), dtype='float32', stop_gradient=False),
paddle.to_tensor(-10 + (10 - -10) * np.random.random([100, 0]).astype('float32'), dtype='float32', stop_gradient=False),
paddle.to_tensor(-10 + (10 - -10) * np.random.random([100, 0]).astype('float32'), dtype='float32', stop_gradient=False),
)
return inputs


def create_numpy_inputs():
"""
numpy array
"""
inputs = (
-10 + (10 - -10) * np.random.random([100, 0]).astype('float32'),
-10 + (10 - -10) * np.random.random([100, 0]).astype('float32'),
-10 + (10 - -10) * np.random.random([100, 0]).astype('float32'),
)
return inputs

52 changes: 52 additions & 0 deletions framework/e2e/PaddleLT_new/layerApicase/math_zero_size/allclose_zero_size_0_func.py
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import numpy as np
import paddle


class LayerCase(paddle.nn.Layer):
"""
case名称: allclose_zero_size_0_func
"""

def __init__(self):
super(LayerCase, self).__init__()

def forward(self, x, y, ):
"""
forward
"""

paddle.seed(33)
np.random.seed(33)
out = paddle.allclose(x, y, rtol=0.00001, atol=0.00000001 )
return out



def create_inputspec():
inputspec = (
paddle.static.InputSpec(shape=(-1, -1, -1), dtype=paddle.float32, stop_gradient=False),
paddle.static.InputSpec(shape=(-1, -1, -1), dtype=paddle.float32, stop_gradient=False),
)
return inputspec

def create_tensor_inputs():
"""
paddle tensor
"""
inputs = (
paddle.to_tensor(-1 + (1 - -1) * np.random.random([100, 0, 10]).astype('float32'), dtype='float32', stop_gradient=False),
paddle.to_tensor(-1 + (1 - -1) * np.random.random([100, 0, 10]).astype('float32'), dtype='float32', stop_gradient=False),
)
return inputs


def create_numpy_inputs():
"""
numpy array
"""
inputs = (
-1 + (1 - -1) * np.random.random([100, 0, 10]).astype('float32'),
-1 + (1 - -1) * np.random.random([100, 0, 10]).astype('float32'),
)
return inputs

45 changes: 45 additions & 0 deletions framework/e2e/PaddleLT_new/layerApicase/math_zero_size/any_zero_size_0_func.py
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import numpy as np
import paddle


class LayerCase(paddle.nn.Layer):
"""
case名称: any_zero_size_func
"""

def __init__(self):
super(LayerCase, self).__init__()

def forward(self, x, ):
"""
forward
"""

paddle.seed(33)
np.random.seed(33)
out = paddle.any(x, )
return out



def create_inputspec():
inputspec = (
paddle.static.InputSpec(shape=(-1, ), dtype=paddle.bool, stop_gradient=False),
)
return inputspec

def create_tensor_inputs():
"""
paddle tensor
"""
inputs = (paddle.to_tensor(-1 + (1 - -1) * np.random.random([0]).astype('bool'), dtype='bool', stop_gradient=False), )
return inputs


def create_numpy_inputs():
"""
numpy array
"""
inputs = (-1 + (1 - -1) * np.random.random([0]).astype('bool'), )
return inputs

48 changes: 48 additions & 0 deletions framework/e2e/PaddleLT_new/layerApicase/math_zero_size/arange_zero_size_0_func.py
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import numpy as np
import paddle


class LayerCase(paddle.nn.Layer):
"""
case名称: arange_zero_size_func
"""

def __init__(self):
super(LayerCase, self).__init__()

def forward(self, ):
"""
forward
"""

paddle.seed(33)
np.random.seed(33)
out = paddle.arange(
start=0.,
end=0.,
step=0.,
dtype="float32",
)
return out



def create_inputspec():
inputspec = ()
return inputspec

def create_tensor_inputs():
"""
paddle tensor
"""
inputs = ()
return inputs


def create_numpy_inputs():
"""
numpy array
"""
inputs = ()
return inputs

45 changes: 45 additions & 0 deletions framework/e2e/PaddleLT_new/layerApicase/math_zero_size/argmax_zero_size_0_func.py
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import numpy as np
import paddle


class LayerCase(paddle.nn.Layer):
"""
case名称: argmax_zero_size_func
"""

def __init__(self):
super(LayerCase, self).__init__()

def forward(self, x, ):
"""
forward
"""

paddle.seed(33)
np.random.seed(33)
out = paddle.argmax(x, )
return out



def create_inputspec():
inputspec = (
paddle.static.InputSpec(shape=(-1, -1, -1, -1), dtype=paddle.float32, stop_gradient=False),
)
return inputspec

def create_tensor_inputs():
"""
paddle tensor
"""
inputs = (paddle.to_tensor(-1 + (1 - -1) * np.random.random([12, 0, 10, 10]).astype('float32'), dtype='float32', stop_gradient=False), )
return inputs


def create_numpy_inputs():
"""
numpy array
"""
inputs = (-1 + (1 - -1) * np.random.random([12, 0, 10, 10]).astype('float32'), )
return inputs

45 changes: 45 additions & 0 deletions framework/e2e/PaddleLT_new/layerApicase/math_zero_size/argsort_zero_size_0_func.py
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@@ -0,0 +1,45 @@
import numpy as np
import paddle


class LayerCase(paddle.nn.Layer):
"""
case名称: argsort_zero_size_func
"""

def __init__(self):
super(LayerCase, self).__init__()

def forward(self, x, ):
"""
forward
"""

paddle.seed(33)
np.random.seed(33)
out = paddle.argsort(x, )
return out



def create_inputspec():
inputspec = (
paddle.static.InputSpec(shape=(-1, -1, -1, -1), dtype=paddle.float32, stop_gradient=False),
)
return inputspec

def create_tensor_inputs():
"""
paddle tensor
"""
inputs = (paddle.to_tensor(-1 + (1 - -1) * np.random.random([12, 0, 10, 10]).astype('float32'), dtype='float32', stop_gradient=False), )
return inputs


def create_numpy_inputs():
"""
numpy array
"""
inputs = (-1 + (1 - -1) * np.random.random([12, 0, 10, 10]).astype('float32'), )
return inputs

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