# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import unittest import numpy as np from paddle.fluid.tests.unittests.test_conv3d_op import ( TestCase1, TestConv3DOp, TestWith1x1, TestWithGroup1, TestWithGroup2, TestWithInput1x1Filter1x1, ) class TestMKLDNN(TestConv3DOp): def init_kernel_type(self): self.use_mkldnn = True self.data_format = "NCHW" self.dtype = np.float32 class TestMKLDNNCase1(TestCase1): def init_kernel_type(self): self.use_mkldnn = True self.data_format = "NCHW" self.dtype = np.float32 class TestMKLDNNGroup1(TestWithGroup1): def init_kernel_type(self): self.use_mkldnn = True self.data_format = "NCHW" self.dtype = np.float32 class TestMKLDNNGroup2(TestWithGroup2): def init_kernel_type(self): self.use_mkldnn = True self.data_format = "NCHW" self.dtype = np.float32 class TestMKLDNNWith1x1(TestWith1x1): def init_kernel_type(self): self.use_mkldnn = True self.data_format = "NCHW" self.dtype = np.float32 class TestMKLDNNWithInput1x1Filter1x1(TestWithInput1x1Filter1x1): def init_kernel_type(self): self.use_mkldnn = True self.data_format = "NCHW" self.dtype = np.float32 class TestConv3DOp_AsyPadding_MKLDNN(TestConv3DOp): def init_kernel_type(self): self.use_mkldnn = True self.data_format = "NCHW" self.dtype = np.float32 def init_paddings(self): self.pad = [1, 0, 1, 0, 0, 2] self.padding_algorithm = "EXPLICIT" class TestConv3DOp_Same_MKLDNN(TestConv3DOp_AsyPadding_MKLDNN): def init_paddings(self): self.pad = [0, 0, 0] self.padding_algorithm = "SAME" def init_kernel_type(self): self.use_mkldnn = True self.data_format = "NCHW" self.dtype = np.float32 class TestConv3DOp_Valid_MKLDNN(TestConv3DOp_AsyPadding_MKLDNN): def init_paddings(self): self.pad = [1, 1, 1] self.padding_algorithm = "VALID" def init_kernel_type(self): self.use_mkldnn = True self.data_format = "NCHW" self.dtype = np.float32 if __name__ == '__main__': from paddle import enable_static enable_static() unittest.main()