提交 8106f414 编写于 作者: X xzl

add the max pool with mask layer

上级 c876dfaa
/* 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 "MaxPoolWithMaskLayer.h"
#include "paddle/utils/Logging.h"
#include "paddle/utils/Stat.h"
namespace paddle {
bool MaxPoolWithMaskLayer::init(const LayerMap& layerMap,
const ParameterMap& parameterMap) {
PoolLayer::init(layerMap, parameterMap);
setOutput("mask", &mask_);
return true;
}
size_t MaxPoolWithMaskLayer::getSize() {
CHECK_EQ(inputLayers_.size(), 1UL);
size_t layerSize = 0;
outputY_ = outputSize(imgSizeY_,
sizeY_,
confPaddingY_,
strideY_,
/* caffeMode */ false);
outputX_ = outputSize(imgSize_,
sizeX_,
confPadding_,
stride_,
/* caffeMode */ false);
layerSize = outputX_ * outputY_ * channels_;
getOutput().setFrameHeight(outputY_);
getOutput().setFrameWidth(outputX_);
return layerSize;
}
void MaxPoolWithMaskLayer::forward(PassType passType) {
size_t size = getSize();
MatrixPtr inputV = inputLayers_[0]->getOutputValue();
int batchSize = inputV->getHeight();
resetOutput(batchSize, size);
MatrixPtr outV = getOutputValue();
CHECK_EQ(size, outV->getWidth());
resetSpecifyOutput(mask_,
batchSize,
size,
/* isValueClean */ false,
/* isGradClean */ true);
MatrixPtr maskV = mask_.value;
outV->maxPoolForward(*inputV,
imgSizeY_,
imgSize_,
channels_,
sizeX_,
sizeY_,
strideY_,
stride_,
outputY_,
outputX_,
confPaddingY_,
confPadding_,
maskV);
}
void MaxPoolWithMaskLayer::backward(const UpdateCallback& callback) {
(void)callback;
if (NULL == getInputGrad(0)) {
return;
}
MatrixPtr outGrad = getOutputGrad();
MatrixPtr inputV = inputLayers_[0]->getOutputValue();
MatrixPtr outV = getOutputValue();
MatrixPtr inputGrad = inputLayers_[0]->getOutputGrad();
inputGrad->maxPoolBackward(*inputV,
imgSizeY_,
imgSize_,
*outGrad,
*outV,
sizeX_,
sizeY_,
strideY_,
stride_,
outputY_,
outputX_,
1,
1,
confPaddingY_,
confPadding_);
}
} // namespace paddle
/* 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. */
#pragma once
#include <vector>
#include "PoolLayer.h"
#include "paddle/math/Matrix.h"
namespace paddle {
/**
* @brief Basic parent layer of different kinds of pooling
*/
class MaxPoolWithMaskLayer : public PoolLayer {
protected:
Argument mask_;
public:
explicit MaxPoolWithMaskLayer(const LayerConfig& config)
: PoolLayer(config) {}
size_t getSize();
void forward(PassType passType) override;
void backward(const UpdateCallback& callback = nullptr) override;
bool init(const LayerMap& layerMap,
const ParameterMap& parameterMap) override;
};
} // namespace paddle
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