chengduoZH
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 "Pool3DLayer.h"
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#include "PoolProjectionLayer.h"
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#include "paddle/utils/Logging.h"
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namespace paddle {
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REGISTER_LAYER(pool3d, Pool3DLayer);
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bool Pool3DLayer::init(const LayerMap& layerMap,
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const ParameterMap& parameterMap) {
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Layer::init(layerMap, parameterMap);
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/* the size of inputs for pool-layer is 1 */
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CHECK_EQ(config_.inputs_size(), 1);
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const PoolConfig& conf = config_.inputs(0).pool_conf();
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poolType_ = conf.pool_type();
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channels_ = conf.channels();
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sizeX_ = conf.size_x();
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sizeY_ = conf.size_y();
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sizeZ_ = conf.size_z();
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strideW_ = conf.stride();
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strideH_ = conf.stride_y();
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strideD_ = conf.stride_z();
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imgSizeW_ = conf.img_size();
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imgSizeH_ = conf.img_size_y();
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imgSizeD_ = conf.img_size_z();
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paddingW_ = conf.padding();
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paddingH_ = conf.padding_y();
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paddingD_ = conf.padding_z();
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outputW_ = conf.output_x();
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outputH_ = conf.output_y();
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outputD_ = conf.output_z();
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return true;
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}
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size_t Pool3DLayer::getSize() {
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CHECK_EQ(inputLayers_.size(), 1UL);
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size_t layerSize = 0;
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// imgSizeD_ = inputLayers_[0]->getOutput().getFrameDepth();
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// imgSizeH_ = inputLayers_[0]->getOutput().getFrameHeight();
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// imgSizeW_ = inputLayers_[0]->getOutput().getFrameWidth();
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if (imgSizeH_ == 0) {
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// imgSizeH_ = imgSizeY_;
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}
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if (imgSizeW_ == 0) {
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// imgSizeW_ = imgSize_;
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}
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outputD_ = outputSize(imgSizeD_,
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sizeZ_,
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paddingD_,
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strideD_,
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/* caffeMode */ false);
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outputH_ = outputSize(imgSizeH_,
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sizeY_,
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paddingH_,
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strideH_,
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/* caffeMode */ false);
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outputW_ = outputSize(imgSizeW_,
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sizeX_,
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paddingW_,
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strideW_,
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/* caffeMode */ false);
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layerSize = outputD_ * outputH_ * outputW_ * channels_;
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getOutput().setFrameHeight(outputH_);
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getOutput().setFrameWidth(outputW_);
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getOutput().setFrameDepth(outputD_);
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return layerSize;
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}
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void Pool3DLayer::forward(PassType passType) {
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Layer::forward(passType);
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const MatrixPtr& inMat = inputLayers_[0]->getOutputValue();
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int batchSize = inMat->getHeight();
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int outWidth = getSize();
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resetOutput(batchSize, outWidth);
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const MatrixPtr outMat = getOutputValue();
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if (poolType_ == "avg") {
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outMat->avgPool3DForward(*inMat,
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imgSizeD_,
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imgSizeH_,
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imgSizeW_,
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channels_,
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sizeZ_,
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sizeY_,
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sizeX_,
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strideD_,
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strideH_,
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strideW_,
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outputD_,
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outputH_,
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outputW_,
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paddingD_,
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paddingH_,
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paddingW_);
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} else if (poolType_ == "max") {
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outMat->maxPool3DForward(*inMat,
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imgSizeD_,
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imgSizeH_,
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imgSizeW_,
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channels_,
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sizeZ_,
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sizeY_,
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sizeX_,
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strideD_,
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strideH_,
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strideW_,
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outputD_,
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outputH_,
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outputW_,
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paddingD_,
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paddingH_,
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paddingW_);
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} else {
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LOG(FATAL) << "Unknown pool type: " << poolType_;
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}
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forwardActivation();
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}
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void Pool3DLayer::backward(const UpdateCallback& callback) {
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backwardActivation();
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(void)callback;
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if (NULL == getInputGrad(0)) return;
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MatrixPtr inMat = inputLayers_[0]->getOutputValue();
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MatrixPtr inGradMat = inputLayers_[0]->getOutputGrad();
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MatrixPtr outMat = getOutputValue();
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MatrixPtr outGradMat = getOutputGrad();
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if (poolType_ == "avg") {
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inGradMat->avgPool3DBackward(*outGradMat,
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imgSizeD_,
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imgSizeH_,
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imgSizeW_,
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sizeZ_,
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sizeY_,
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sizeZ_,
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strideD_,
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strideH_,
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strideW_,
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outputD_,
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outputH_,
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outputW_,
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1,
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1,
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paddingD_,
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paddingH_,
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paddingW_);
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} else if (poolType_ == "max") {
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inGradMat->maxPool3DBackward(*inMat,
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imgSizeD_,
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imgSizeH_,
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imgSizeW_,
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*outGradMat,
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*outMat,
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sizeZ_,
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sizeY_,
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sizeZ_,
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strideD_,
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strideH_,
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strideW_,
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outputD_,
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outputH_,
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outputW_,
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1,
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1,
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paddingD_,
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paddingH_,
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paddingW_);
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} else {
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LOG(FATAL) << "Unknown pool type: " << poolType_;
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}
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}
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} // namespace paddle
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@ -0,0 +1,48 @@
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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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#pragma once
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#include <vector>
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#include "Layer.h"
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#include "paddle/math/MathUtils.h"
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#include "paddle/math/Matrix.h"
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namespace paddle {
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/**
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* @brief Basic parent layer of pooling
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* Pools the input within regions
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*/
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class Pool3DLayer : public Layer {
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public:
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explicit Pool3DLayer(const LayerConfig& config) : Layer(config) {}
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~Pool3DLayer() {}
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bool init(const LayerMap& layerMap,
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const ParameterMap& parameterMap) override;
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void forward(PassType passType) override;
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void backward(const UpdateCallback& callback) override;
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size_t getSize();
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protected:
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int channels_;
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int sizeX_, sizeY_, sizeZ_;
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int strideW_, strideH_, strideD_;
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int paddingW_, paddingH_, paddingD_;
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int imgSizeW_, imgSizeH_, imgSizeD_;
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int outputW_, outputH_, outputD_;
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std::string poolType_;
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};
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} // namespace paddle
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