MkldnnLayer.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
/* 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 <vector>
#include "Layer.h"
T
tensor-tang 已提交
19
#include "MkldnnBase.h"
T
tensor-tang 已提交
20 21 22 23 24 25 26 27 28 29 30 31
#include "mkldnn.hpp"

namespace paddle {

class MkldnnLayer;
typedef std::shared_ptr<MkldnnLayer> MkldnnLayerPtr;

/**
 * @brief Base class of Mkldnnlayer.
 *
 */
class MkldnnLayer : public Layer {
T
tensor-tang 已提交
32 33 34 35 36 37 38 39 40 41 42 43 44
protected:
  // batch size
  int bs_;
  // input image channel, height and width
  int ic_, ih_, iw_;
  // output image channel, height and width
  int oc_, oh_, ow_;

  // mkldnn engine, stream and primivtives
  mkldnn::engine engine_;
  std::shared_ptr<MkldnnStream> stream_;

  std::shared_ptr<mkldnn::primitive> fwd_;
T
tensor-tang 已提交
45 46
  std::shared_ptr<mkldnn::primitive> bwdWgt_;
  std::shared_ptr<mkldnn::primitive> bwdData_;
T
tensor-tang 已提交
47 48 49
  std::vector<mkldnn::primitive> pipelineFwd_;
  std::vector<mkldnn::primitive> pipelineBwd_;

T
tensor-tang 已提交
50
public:
T
tensor-tang 已提交
51 52 53 54 55 56 57 58 59 60
  explicit MkldnnLayer(const LayerConfig& config)
      : Layer(config),
        bs_(0),
        ic_(0),
        ih_(0),
        iw_(0),
        oc_(0),
        oh_(0),
        ow_(0),
        engine_(mkldnn::engine::cpu, 0),
T
tensor-tang 已提交
61 62 63 64
        stream_(nullptr),
        fwd_(nullptr),
        bwdWgt_(nullptr),
        bwdData_(nullptr) {}
T
tensor-tang 已提交
65 66 67

  ~MkldnnLayer() {}

T
tensor-tang 已提交
68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88
  virtual bool init(const LayerMap& layerMap, const ParameterMap& parameterMap);

  void resetForwardFC(int bs,
                      int ic,
                      int ih,
                      int iw,
                      real* botData,
                      int oc,
                      real* topData,
                      real* wgtData,
                      real* biasData);

  void mkldnnForwardFC(int bs,
                       int ic,
                       int ih,
                       int iw,
                       real* botData,
                       int oc,
                       real* topData,
                       real* wgtData,
                       real* biasData);
T
tensor-tang 已提交
89

T
tensor-tang 已提交
90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113
  void resetBackwardFC(int bs,
                       int ic,
                       int ih,
                       int iw,
                       real* botDiff,
                       real* botData,
                       int oc,
                       real* topDiff,
                       real* wgtDiff,
                       real* wgtData,
                       real* biasDiff);

  void mkldnnBackwardFC(int bs,
                        int ic,
                        int ih,
                        int iw,
                        real* botDiff,
                        real* botData,
                        int oc,
                        real* topDiff,
                        real* wgtDiff,
                        real* wgtData,
                        real* biasDiff);

T
tensor-tang 已提交
114 115 116 117 118 119
  // TODO(TJ): move to MkldnnMatrix
  // create memory desc
  inline mkldnn::memory::desc createMD(
      mkldnn::memory::dims dims,
      mkldnn::memory::format fmt,
      mkldnn::memory::data_type type = mkldnn::memory::data_type::f32);
T
tensor-tang 已提交
120 121 122
};

}  // namespace paddle