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45 lines
1.6 KiB
45 lines
1.6 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 "FunctionTest.h"
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namespace paddle {
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TEST(Pad, real) {
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for (size_t numSamples : {1, 4, 8, 16}) {
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for (size_t channels : {1, 4, 8, 16}) {
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for (size_t imgSizeH : {1, 4, 8, 16}) {
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for (size_t imgSizeW : {1, 4, 8, 16}) {
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VLOG(3) << " numSamples=" << numSamples << " channels=" << channels
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<< " imgSizeH=" << imgSizeH << " imgSizeW=" << imgSizeW;
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for (bool test_grad : {true, false}) {
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CpuGpuFuncCompare compare(test_grad ? "NHWC2NCHW" : "NCHW2NHWC",
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FuncConfig());
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TensorShape inDims{numSamples, channels, imgSizeH, imgSizeW};
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TensorShape outDims{numSamples, imgSizeH, imgSizeW, channels};
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compare.addInputs(
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BufferArg(VALUE_TYPE_FLOAT, test_grad ? outDims : inDims));
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compare.addOutputs(BufferArg(
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VALUE_TYPE_FLOAT, test_grad ? inDims : outDims, ASSIGN_TO));
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compare.run();
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}
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}
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}
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}
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}
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}
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} // namespace paddle
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