You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
179 lines
5.9 KiB
179 lines
5.9 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
|
|
|
|
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 "Pool3DLayer.h"
|
|
#include "PoolProjectionLayer.h"
|
|
#include "paddle/utils/Logging.h"
|
|
|
|
namespace paddle {
|
|
|
|
REGISTER_LAYER(pool3d, Pool3DLayer);
|
|
|
|
bool Pool3DLayer::init(const LayerMap& layerMap,
|
|
const ParameterMap& parameterMap) {
|
|
Layer::init(layerMap, parameterMap);
|
|
|
|
/* the size of inputs for pool-layer is 1 */
|
|
CHECK_EQ(config_.inputs_size(), 1);
|
|
|
|
const PoolConfig& conf = config_.inputs(0).pool_conf();
|
|
poolType_ = conf.pool_type();
|
|
channels_ = conf.channels();
|
|
|
|
sizeX_ = conf.size_x();
|
|
sizeY_ = conf.size_y();
|
|
sizeZ_ = conf.size_z();
|
|
|
|
strideW_ = conf.stride();
|
|
strideH_ = conf.stride_y();
|
|
strideD_ = conf.stride_z();
|
|
|
|
imgSizeW_ = conf.img_size();
|
|
imgSizeH_ = conf.img_size_y();
|
|
imgSizeD_ = conf.img_size_z();
|
|
|
|
paddingW_ = conf.padding();
|
|
paddingH_ = conf.padding_y();
|
|
paddingD_ = conf.padding_z();
|
|
|
|
outputW_ = conf.output_x();
|
|
outputH_ = conf.output_y();
|
|
outputD_ = conf.output_z();
|
|
|
|
return true;
|
|
}
|
|
|
|
size_t Pool3DLayer::getSize() {
|
|
CHECK_EQ(inputLayers_.size(), 1UL);
|
|
|
|
size_t layerSize = 0;
|
|
outputD_ = outputSize(imgSizeD_, sizeZ_, paddingD_, strideD_, false);
|
|
outputH_ = outputSize(imgSizeH_, sizeY_, paddingH_, strideH_, false);
|
|
outputW_ = outputSize(imgSizeW_, sizeX_, paddingW_, strideW_, false);
|
|
|
|
layerSize = outputD_ * outputH_ * outputW_ * channels_;
|
|
getOutput().setFrameHeight(outputH_);
|
|
getOutput().setFrameWidth(outputW_);
|
|
getOutput().setFrameDepth(outputD_);
|
|
return layerSize;
|
|
}
|
|
|
|
void Pool3DLayer::forward(PassType passType) {
|
|
Layer::forward(passType);
|
|
const MatrixPtr& inMat = inputLayers_[0]->getOutputValue();
|
|
size_t batchSize = inMat->getHeight();
|
|
size_t outWidth = getSize();
|
|
resetOutput(batchSize, outWidth);
|
|
Matrix::resizeOrCreate(maxPoolIdx_, batchSize, outWidth, false, useGpu_);
|
|
const MatrixPtr outMat = getOutputValue();
|
|
|
|
if (poolType_ == "avg") {
|
|
outMat->avgPool3DForward(*inMat,
|
|
channels_,
|
|
imgSizeD_,
|
|
imgSizeH_,
|
|
imgSizeW_,
|
|
outputD_,
|
|
outputH_,
|
|
outputW_,
|
|
sizeZ_,
|
|
sizeY_,
|
|
sizeX_,
|
|
strideD_,
|
|
strideH_,
|
|
strideW_,
|
|
paddingD_,
|
|
paddingH_,
|
|
paddingW_);
|
|
} else if (poolType_ == "max") {
|
|
outMat->maxPool3DForward(*inMat,
|
|
*maxPoolIdx_,
|
|
channels_,
|
|
imgSizeD_,
|
|
imgSizeH_,
|
|
imgSizeW_,
|
|
outputD_,
|
|
outputH_,
|
|
outputW_,
|
|
sizeZ_,
|
|
sizeY_,
|
|
sizeX_,
|
|
strideD_,
|
|
strideH_,
|
|
strideW_,
|
|
paddingD_,
|
|
paddingH_,
|
|
paddingW_);
|
|
} else {
|
|
LOG(FATAL) << "Unknown pool type: " << poolType_;
|
|
}
|
|
forwardActivation();
|
|
}
|
|
|
|
void Pool3DLayer::backward(const UpdateCallback& callback) {
|
|
backwardActivation();
|
|
|
|
(void)callback;
|
|
if (NULL == getInputGrad(0)) return;
|
|
MatrixPtr inMat = inputLayers_[0]->getOutputValue();
|
|
MatrixPtr inGradMat = inputLayers_[0]->getOutputGrad();
|
|
MatrixPtr outMat = getOutputValue();
|
|
MatrixPtr outGradMat = getOutputGrad();
|
|
|
|
if (poolType_ == "avg") {
|
|
inGradMat->avgPool3DBackward(*outGradMat,
|
|
imgSizeD_,
|
|
imgSizeH_,
|
|
imgSizeW_,
|
|
outputD_,
|
|
outputH_,
|
|
outputW_,
|
|
sizeZ_,
|
|
sizeY_,
|
|
sizeZ_,
|
|
strideD_,
|
|
strideH_,
|
|
strideW_,
|
|
paddingD_,
|
|
paddingH_,
|
|
paddingW_,
|
|
1.0,
|
|
1.0);
|
|
} else if (poolType_ == "max") {
|
|
inGradMat->maxPool3DBackward(*outGradMat,
|
|
*maxPoolIdx_,
|
|
imgSizeD_,
|
|
imgSizeH_,
|
|
imgSizeW_,
|
|
outputD_,
|
|
outputH_,
|
|
outputW_,
|
|
sizeZ_,
|
|
sizeY_,
|
|
sizeZ_,
|
|
strideD_,
|
|
strideH_,
|
|
strideW_,
|
|
paddingD_,
|
|
paddingH_,
|
|
paddingW_,
|
|
1.0,
|
|
1.0);
|
|
} else {
|
|
LOG(FATAL) << "Unknown pool type: " << poolType_;
|
|
}
|
|
}
|
|
|
|
} // namespace paddle
|