SequenceLastInstanceLayer.cpp 3.8 KB
Newer Older
1
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
Z
zhangjinchao01 已提交
2 3 4 5 6 7 8 9 10 11 12 13 14 15 16

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 "paddle/utils/Logging.h"

17
#include "SequencePoolLayer.h"
Z
zhangjinchao01 已提交
18 19 20 21 22 23 24 25 26 27
#include "paddle/math/Matrix.h"
#include "paddle/utils/Stat.h"

namespace paddle {

/**
 * A layer for extracting the last instance of the input sequence.
 * Input: a sequence
 * If SequenceLevel = kNonseq:
 *   Output: a sequence containing only the last instance of the input sequence
28
 *   If stride_ > 0:
L
Luo Tao 已提交
29 30 31 32
 *      Output: a shorten sequence. The operation of getting last instance of a
 *              sequence is independently performed on every slice of the input
 *              sequence, which is obtained by sliding a window with the window
 *              size set to stride_.
Z
zhangjinchao01 已提交
33 34 35
 * If SequenceLevel = kSeq:
 *   Check input sequence must has sub-sequence
 *   Output: a sequence containing only the last instance of each sub-sequence
36 37 38
 *           of the input sequence
 *
 * The config file api is last_seq and first_seq.
Z
zhangjinchao01 已提交
39 40
 */

41
class SequenceLastInstanceLayer : public SequencePoolLayer {
Z
zhangjinchao01 已提交
42 43 44
protected:
  MatrixPtr tmpSrc_;
  MatrixPtr tmpDest_;
45
  std::vector<int> insId_;
Z
zhangjinchao01 已提交
46 47 48

public:
  explicit SequenceLastInstanceLayer(const LayerConfig& config)
49
      : SequencePoolLayer(config) {}
Z
zhangjinchao01 已提交
50

Y
Yu Yang 已提交
51 52
  bool init(const LayerMap& layerMap,
            const ParameterMap& parameterMap) override;
Z
zhangjinchao01 已提交
53

Y
Yu Yang 已提交
54 55
  void forward(PassType passType) override;
  void backward(const UpdateCallback& callback = nullptr) override;
Z
zhangjinchao01 已提交
56 57 58 59 60 61
};

REGISTER_LAYER(seqlastins, SequenceLastInstanceLayer);

bool SequenceLastInstanceLayer::init(const LayerMap& layerMap,
                                     const ParameterMap& parameterMap) {
62
  SequencePoolLayer::init(layerMap, parameterMap);
L
Luo Tao 已提交
63
  reversed_ = config_.select_first();
Z
zhangjinchao01 已提交
64 65 66 67 68 69 70 71 72 73

  tmpSrc_ =
      Matrix::create(nullptr, /* height= */ 1, 1, /* trans= */ false, useGpu_);
  tmpDest_ =
      Matrix::create(nullptr, /* height= */ 1, 1, /* trans= */ false, useGpu_);

  return true;
}

void SequenceLastInstanceLayer::forward(PassType passType) {
74
  SequencePoolLayer::forward(passType);
Z
zhangjinchao01 已提交
75

76 77
  auto starts = (stride_ > 0) ? stridePositions_->getData()
                              : startPositions_->getData(false);
Z
zhangjinchao01 已提交
78 79 80 81 82 83 84
  MatrixPtr inputValue = getInputValue(0);
  MatrixPtr outputValue = getOutputValue();

  {
    AsyncGpuBlock asyncGpuBlock;
    REGISTER_TIMER_INFO("SequenceLastInstanceLayerForward", getName().c_str());

85
    insId_.clear();
86
    for (size_t seqId = 0; seqId < newBatchSize_; ++seqId) {
L
Luo Tao 已提交
87
      int insId = reversed_ ? starts[seqId] : starts[seqId + 1] - 1;
88
      insId_.push_back(insId);
Z
zhangjinchao01 已提交
89 90 91 92 93 94 95 96 97 98 99 100 101 102 103

      outputValue->subMatrix(seqId, 1, tmpDest_)
          ->assign(*(inputValue->subMatrix(insId, 1, tmpSrc_)));
    }
  }

  if (biases_.get() != NULL) {
    outputValue->addBias(*(biases_->getW()), 1);
  }

  /*  activation, should set to 'linear' in most cases */
  forwardActivation();
}

void SequenceLastInstanceLayer::backward(const UpdateCallback& callback) {
104
  SequencePoolLayer::backward(callback);
Z
zhangjinchao01 已提交
105 106 107 108 109 110 111 112

  MatrixPtr inputGrad = getInputGrad(0);
  MatrixPtr outputGrad = getOutputGrad();

  if (inputGrad) {
    AsyncGpuBlock asyncGpuBlock;
    REGISTER_TIMER_INFO("SequenceLastInstanceLayerBackward", getName().c_str());

113 114
    for (size_t seqId = 0; seqId < newBatchSize_; ++seqId) {
      inputGrad->subMatrix(insId_[seqId], 1, tmpDest_)
Z
zhangjinchao01 已提交
115 116 117 118 119 120
          ->add(*(outputGrad->subMatrix(seqId, 1, tmpSrc_)));
    }
  }
}

}  // namespace paddle