50 lines
1.9 KiB
50 lines
1.9 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
|
|
|
|
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. */
|
|
|
|
#include <gtest/gtest.h>
|
|
#include "FunctionTest.h"
|
|
|
|
namespace paddle {
|
|
|
|
TEST(Crop, real) {
|
|
for (size_t numSamples : {5, 32}) {
|
|
for (size_t channels : {5, 5, 32}) {
|
|
for (size_t imgSizeH : {5, 33, 100}) {
|
|
for (size_t imgSizeW : {5, 32, 96}) {
|
|
VLOG(3) << " numSamples=" << numSamples << " channels=" << channels
|
|
<< " imgSizeH=" << imgSizeH << " imgSizeW=" << imgSizeW;
|
|
for (bool test_grad : {false, true}) {
|
|
CpuGpuFuncCompare compare(
|
|
test_grad ? "CropGrad" : "Crop",
|
|
FuncConfig()
|
|
.set<std::vector<uint32_t>>("crop_corner", {0, 1, 1, 1})
|
|
.set<std::vector<uint32_t>>("crop_shape", {0, 2, 3, 3}));
|
|
TensorShape inDims{numSamples, channels, imgSizeH, imgSizeW};
|
|
TensorShape outDims{numSamples, 2, 3, 3};
|
|
compare.addInputs(
|
|
BufferArg(VALUE_TYPE_FLOAT, test_grad ? outDims : inDims));
|
|
compare.addOutputs(BufferArg(VALUE_TYPE_FLOAT,
|
|
test_grad ? inDims : outDims,
|
|
test_grad ? ADD_TO : ASSIGN_TO),
|
|
test_grad ? ADD_TO : ASSIGN_TO);
|
|
compare.run();
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
} // namespace paddle
|