130 lines
4.3 KiB
130 lines
4.3 KiB
/* Copyright (c) 2017 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 "MKLDNNLayer.h"
|
|
#include "mkldnn.hpp"
|
|
|
|
namespace paddle {
|
|
|
|
/**
|
|
* @brief A subclass of MKLDNNLayer Concatenate layer.
|
|
*
|
|
* The config file api is mkldnn_concat
|
|
*/
|
|
class MKLDNNConcatLayer : public MKLDNNLayer {
|
|
protected:
|
|
std::vector<MKLDNNMatrixPtr> inVals_;
|
|
std::vector<MKLDNNMatrixPtr> inGrads_;
|
|
std::vector<std::shared_ptr<mkldnn::primitive>> bwds_;
|
|
// input channel numbers
|
|
std::vector<int> channels_;
|
|
|
|
// concat_dimension in MKLDNN
|
|
// if axis_ == 0, concat batchsize
|
|
// if axis_ == 1, concat channel (default)
|
|
int axis_;
|
|
|
|
public:
|
|
explicit MKLDNNConcatLayer(const LayerConfig& config)
|
|
: MKLDNNLayer(config), axis_(1) {}
|
|
|
|
~MKLDNNConcatLayer() {}
|
|
|
|
bool init(const LayerMap& layerMap,
|
|
const ParameterMap& parameterMap) override;
|
|
|
|
void reshape(
|
|
int& bs, int& ic, int& ih, int& iw, int oc, int& oh, int& ow) override;
|
|
|
|
void resetFwd(std::vector<mkldnn::primitive>& pipeline,
|
|
MKLDNNMatrixPtr& in,
|
|
MKLDNNMatrixPtr& wgt,
|
|
MKLDNNMatrixPtr& bias,
|
|
MKLDNNMatrixPtr& out) override;
|
|
|
|
void resetBwd(std::vector<mkldnn::primitive>& pipeline,
|
|
MKLDNNMatrixPtr& in,
|
|
MKLDNNMatrixPtr& wgt,
|
|
MKLDNNMatrixPtr& bias,
|
|
MKLDNNMatrixPtr& out) override;
|
|
|
|
void printSizeInfo() override {
|
|
CHECK_EQ(channels_.size(), inputLayers_.size());
|
|
for (size_t i = 0; i < channels_.size(); ++i) {
|
|
VLOG(MKLDNN_SIZES) << "Input " << i << ", " << inputLayers_[i]->getName()
|
|
<< ": " << bs_ << ", " << channels_[i] << ", " << ih_
|
|
<< ", " << iw_;
|
|
}
|
|
VLOG(MKLDNN_SIZES) << "Output: " << bs_ << ", " << oc_ << ", " << oh_
|
|
<< ", " << ow_;
|
|
}
|
|
|
|
void printValueFormat() override {
|
|
for (size_t i = 0; i < inVals_.size(); ++i) {
|
|
VLOG(MKLDNN_FMTS) << "Input " << i << ", " << inputLayers_[i]->getName()
|
|
<< ": " << inVals_[i]->getFormat() << " >>>";
|
|
}
|
|
if (outVal_) {
|
|
VLOG(MKLDNN_FMTS) << outVal_->getFormat() << " >>> ";
|
|
}
|
|
if (extOutVal_) {
|
|
VLOG(MKLDNN_FMTS) << extOutVal_->getFormat();
|
|
}
|
|
}
|
|
|
|
void printGradFormat() override {
|
|
if (extOutGrad_) {
|
|
VLOG(MKLDNN_FMTS) << extOutGrad_->getFormat();
|
|
}
|
|
if (outGrad_) {
|
|
VLOG(MKLDNN_FMTS) << outGrad_->getFormat() << " <<< ";
|
|
}
|
|
for (size_t i = 0; i < inGrads_.size(); ++i) {
|
|
VLOG(MKLDNN_FMTS) << "Input " << i << ", " << inputLayers_[i]->getName()
|
|
<< ": " << inGrads_[i]->getFormat() << "<<<";
|
|
}
|
|
}
|
|
|
|
protected:
|
|
/**
|
|
* Forward functions: reset buffers(inputs, output, bias),
|
|
* reset primitive descriptor,
|
|
* reset pipeline.
|
|
*/
|
|
void resetFwdBuffers(std::vector<MKLDNNMatrixPtr>& inputs,
|
|
MKLDNNMatrixPtr& out);
|
|
void resetFwdPD(std::shared_ptr<mkldnn::concat::primitive_desc>& pd,
|
|
std::vector<MKLDNNMatrixPtr>& inputs,
|
|
MKLDNNMatrixPtr out);
|
|
void resetFwdPipeline(std::vector<mkldnn::primitive>& pipeline,
|
|
std::shared_ptr<mkldnn::concat::primitive_desc>& pd,
|
|
std::vector<MKLDNNMatrixPtr>& inputs,
|
|
MKLDNNMatrixPtr& out);
|
|
|
|
/**
|
|
* Backward functions: reset buffers(inputs, output, bias)
|
|
* reset primitives and pipeline
|
|
*/
|
|
void resetBwdBuffers(std::vector<MKLDNNMatrixPtr>& inputs,
|
|
MKLDNNMatrixPtr& out);
|
|
void resetBwdPipeline(std::vector<mkldnn::primitive>& pipeline,
|
|
std::vector<std::shared_ptr<mkldnn::primitive>>& prims,
|
|
std::vector<MKLDNNMatrixPtr>& inputs,
|
|
MKLDNNMatrixPtr& out);
|
|
};
|
|
|
|
} // namespace paddle
|