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.
124 lines
4.3 KiB
124 lines
4.3 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 "ConvProjection.h"
|
|
#include "paddle/utils/Stat.h"
|
|
|
|
namespace paddle {
|
|
|
|
REGISTER_PROJECTION(conv, ConvProjection);
|
|
|
|
size_t ConvProjection::calOutputSize() {
|
|
imageH_ = in_->getFrameHeight();
|
|
imageW_ = in_->getFrameWidth();
|
|
if (imageH_ == 0) imageH_ = configImgH_;
|
|
if (imageW_ == 0) imageW_ = configImgW_;
|
|
outputH_ = outputSize(imageH_,
|
|
(filterH_ - 1) * dilationH_ + 1,
|
|
paddingH_,
|
|
strideH_,
|
|
/* caffeMode */ true);
|
|
outputW_ = outputSize(imageW_,
|
|
(filterW_ - 1) * dilationW_ + 1,
|
|
paddingW_,
|
|
strideW_,
|
|
/* caffeMode */ true);
|
|
|
|
const_cast<Argument *>(out_)->setFrameHeight(outputH_);
|
|
const_cast<Argument *>(out_)->setFrameWidth(outputW_);
|
|
|
|
inputOffset_ = (configChannels_ / groups_) * imageH_ * imageW_;
|
|
outputOffset_ = (configNumFilters_ / groups_) * outputH_ * outputW_;
|
|
return outputH_ * outputW_ * configNumFilters_;
|
|
}
|
|
|
|
size_t ConvProjection::calInputSize() {
|
|
return static_cast<size_t>(configChannels_ * imageH_ * imageW_);
|
|
}
|
|
|
|
void ConvProjection::forward() {
|
|
int batchSize = in_->value->getHeight();
|
|
reshape(batchSize);
|
|
|
|
void *workSpace = NULL;
|
|
if (workSpaceInBytes_ > 0) {
|
|
workSpace = getSpaceBytes(workSpaceInBytes_);
|
|
}
|
|
|
|
for (int g = 0; g < groups_; ++g) {
|
|
REGISTER_TIMER_INFO("CudnnConvFwTimer", getName().c_str());
|
|
|
|
real *inputData = in_->value->getData() + g * inputOffset_;
|
|
real *wgtData = weight_->getW()->getData() + g * weightOffset_;
|
|
real *outData = out_->value->getData() + g * outputOffset_;
|
|
hl_convolution_forward(imageDesc_,
|
|
inputData,
|
|
outputDesc_,
|
|
outData,
|
|
filterDesc_,
|
|
wgtData,
|
|
convDesc_,
|
|
workSpace,
|
|
fwdLimitBytes_,
|
|
fwdAlgo_);
|
|
}
|
|
}
|
|
|
|
void ConvProjection::backward(const UpdateCallback &callback) {
|
|
REGISTER_TIMER_INFO("CudnnConvBpTimer", getName().c_str());
|
|
|
|
void *workSpace = NULL;
|
|
if (workSpaceInBytes_ > 0) {
|
|
workSpace = getSpaceBytes(workSpaceInBytes_);
|
|
}
|
|
|
|
for (int g = 0; g < groups_; ++g) {
|
|
real *outGrad = out_->grad->getData() + g * outputOffset_;
|
|
if (weight_->getWGrad()) {
|
|
real *inputData = in_->value->getData() + g * inputOffset_;
|
|
real *weightGrad = weight_->getWGrad()->getData() + g * weightOffset_;
|
|
hl_convolution_backward_filter(imageDesc_,
|
|
inputData,
|
|
outputDesc_,
|
|
outGrad,
|
|
filterDesc_,
|
|
weightGrad,
|
|
convDesc_,
|
|
workSpace,
|
|
bwdFilterLimitBytes_,
|
|
bwdFilterAlgo_);
|
|
}
|
|
|
|
MatrixPtr preGrad = in_->grad;
|
|
if (NULL != preGrad) {
|
|
real *inputGrad = preGrad->getData() + g * inputOffset_;
|
|
real *wgtData = weight_->getW()->getData() + g * weightOffset_;
|
|
hl_convolution_backward_data(imageDesc_,
|
|
inputGrad,
|
|
outputDesc_,
|
|
outGrad,
|
|
filterDesc_,
|
|
wgtData,
|
|
convDesc_,
|
|
workSpace,
|
|
bwdDataLimitBytes_,
|
|
bwdDataAlgo_);
|
|
}
|
|
}
|
|
|
|
weight_->getParameterPtr()->incUpdate(callback);
|
|
}
|
|
|
|
} // namespace paddle
|