wehub-resource-sync
97 lines
3.2 KiB
Python
97 lines
3.2 KiB
Python
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import unittest
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import numpy as np
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import paddle
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paddle.enable_static()
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import sys
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sys.path.append("../../legacy_test")
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from test_conv2d_transpose_op import TestConv2DTransposeOp
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class TestDepthwiseConvTranspose(TestConv2DTransposeOp):
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def init_test_case(self):
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self.pad = [1, 1]
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self.stride = [1, 1]
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self.dilations = [1, 1]
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self.input_size = [1, 8, 4, 4] # NCHW
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self.groups = 8
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assert np.mod(self.input_size[1], self.groups) == 0
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f_c = self.input_size[1] // self.groups
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self.filter_size = [self.input_size[1], f_c, 4, 4]
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self.op_type = "depthwise_conv2d_transpose"
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class TestDepthwiseConvTransposeAsymmetricPad(TestConv2DTransposeOp):
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def init_test_case(self):
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self.pad = [1, 1, 1, 2]
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self.stride = [1, 1]
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self.dilations = [1, 1]
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self.input_size = [1, 8, 4, 4] # NCHW
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self.groups = 8
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assert np.mod(self.input_size[1], self.groups) == 0
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f_c = self.input_size[1] // self.groups
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self.filter_size = [self.input_size[1], f_c, 3, 3]
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self.op_type = "depthwise_conv2d_transpose"
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self.data_format = 'NCHW'
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class TestDepthwiseConvTransposeSAMEPad(TestConv2DTransposeOp):
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def init_test_case(self):
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self.stride = [1, 1]
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self.dilations = [1, 1]
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self.input_size = [1, 8, 4, 4] # NHWC
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self.groups = 8
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assert np.mod(self.input_size[1], self.groups) == 0
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f_c = self.input_size[1] // self.groups
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self.filter_size = [self.input_size[1], f_c, 3, 3]
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self.op_type = "depthwise_conv2d_transpose"
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self.padding_algorithm = 'SAME'
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class TestDepthwiseConvTransposeVALIDPad(TestConv2DTransposeOp):
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def init_test_case(self):
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self.stride = [1, 1]
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self.dilations = [1, 1]
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self.input_size = [1, 8, 4, 4] # NHWC
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self.groups = 8
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assert np.mod(self.input_size[1], self.groups) == 0
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f_c = self.input_size[1] // self.groups
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self.filter_size = [self.input_size[1], f_c, 3, 3]
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self.op_type = "depthwise_conv2d_transpose"
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self.padding_algorithm = 'VALID'
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class TestDepthwiseConvTranspose_NHWC_3x3kernel(TestConv2DTransposeOp):
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def init_test_case(self):
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self.pad = [1, 1]
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self.stride = [1, 1]
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self.dilations = [1, 1]
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self.input_size = [1, 4, 4, 8] # NHWC
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self.groups = 8
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assert np.mod(self.input_size[3], self.groups) == 0
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f_c = self.input_size[3] // self.groups
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self.filter_size = [self.input_size[3], f_c, 3, 3]
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self.op_type = "depthwise_conv2d_transpose"
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self.data_format = 'NHWC'
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if __name__ == '__main__':
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unittest.main()
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