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51 lines
1.7 KiB
51 lines
1.7 KiB
8 years ago
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/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#include <gtest/gtest.h>
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#include "ConvOpTest.h"
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namespace paddle {
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TEST(GemmConv, NaiveConv) {
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Convolution<DEVICE_TYPE_CPU, DEVICE_TYPE_CPU>(
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"NaiveConv-CPU", "GemmConv-CPU", forward);
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Convolution2<DEVICE_TYPE_CPU, DEVICE_TYPE_CPU>(
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"NaiveConv-CPU", "GemmConv-CPU", forward);
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}
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#ifndef PADDLE_ONLY_CPU
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TEST(GemmConv, Forward) {
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Convolution<DEVICE_TYPE_CPU, DEVICE_TYPE_GPU>(
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"GemmConv-CPU", "GemmConv-GPU", forward);
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Convolution2<DEVICE_TYPE_CPU, DEVICE_TYPE_GPU>(
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"GemmConv-CPU", "GemmConv-GPU", forward);
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}
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TEST(GemmConv, BackwardInput) {
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Convolution<DEVICE_TYPE_CPU, DEVICE_TYPE_GPU>(
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"GemmConvGradInput-CPU", "GemmConvGradInput-GPU", backward_input);
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Convolution2<DEVICE_TYPE_CPU, DEVICE_TYPE_GPU>(
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"GemmConvGradInput-CPU", "GemmConvGradInput-GPU", backward_input);
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}
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TEST(GemmConv, BackwardFilter) {
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Convolution<DEVICE_TYPE_CPU, DEVICE_TYPE_GPU>(
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"GemmConvGradFilter-CPU", "GemmConvGradFilter-GPU", backward_filter);
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Convolution2<DEVICE_TYPE_CPU, DEVICE_TYPE_GPU>(
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"GemmConvGradFilter-CPU", "GemmConvGradFilter-GPU", backward_filter);
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}
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#endif
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} // namespace paddle
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