MKLDNNConcatLayer.h 3.4 KB
Newer Older
T
tensor-tang 已提交
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47
/* 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<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(
48
      int& bs, int& ic, int& ih, int& iw, int& oc, int& oh, int& ow) override;
T
tensor-tang 已提交
49 50

  void resetFwd(std::vector<mkldnn::primitive>& pipeline,
51
                std::vector<MKLDNNMatrixPtr>& inputs,
T
tensor-tang 已提交
52 53 54
                MKLDNNMatrixPtr& out) override;

  void resetBwd(std::vector<mkldnn::primitive>& pipeline,
55
                std::vector<MKLDNNMatrixPtr>& inputs,
T
tensor-tang 已提交
56 57 58 59 60 61 62 63 64 65 66 67 68
                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_;
  }

69 70 71 72 73 74 75 76 77
  size_t keepCondition() {
    // reset when the total element size of all inputs changed
    size_t totalSize = inputLayers_[0]->getOutputValue()->getElementCnt();
    for (size_t i = 1; i < inputLayers_.size(); ++i) {
      totalSize += inputLayers_[i]->getOutputValue()->getElementCnt();
    }
    return totalSize;
  }

T
tensor-tang 已提交
78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96
protected:
  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);
  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