You need to sign in or sign up before continuing.
SpatialPyramidPoolLayer.cpp 4.2 KB
Newer Older
Q
qijun 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
/* Copyright (c) 2016 Baidu, Inc. 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 "SpatialPyramidPoolLayer.h"

namespace paddle {

REGISTER_LAYER(spp, SpatialPyramidPoolLayer);

ProjectionConfig SpatialPyramidPoolLayer::getConfig(size_t imgSizeW,
                                                    size_t imgSizeH,
                                                    size_t channels,
                                                    size_t pyramidLevel,
                                                    std::string& poolType) {
  ProjectionConfig config;
Q
qijun 已提交
27
  config.set_type("pool");
Q
qijun 已提交
28 29 30 31 32 33 34 35 36
  PoolConfig* conf = config.mutable_pool_conf();
  conf->set_channels(channels);
  conf->set_img_size(imgSizeW);
  conf->set_img_size_y(imgSizeH);
  conf->set_pool_type(poolType);

  int numBins = std::pow(2, pyramidLevel);

  int sizeH = std::ceil(imgSizeH / static_cast<double>(numBins));
Q
qijun 已提交
37 38
  int paddingH = (sizeH * numBins - imgSizeH + 1) / 2;
  int outSizeH = outputSize(imgSizeH, sizeH, paddingH, sizeH, true);
Q
qijun 已提交
39 40

  int sizeW = std::ceil(imgSizeW / static_cast<double>(numBins));
Q
qijun 已提交
41 42
  int paddingW = (sizeW * numBins - imgSizeW + 1) / 2;
  int outSizeW = outputSize(imgSizeW, sizeW, paddingW, sizeW, true);
Q
qijun 已提交
43 44 45 46 47 48 49 50 51 52 53 54 55

  conf->set_stride(sizeW);
  conf->set_stride_y(sizeH);
  conf->set_size_x(sizeW);
  conf->set_size_y(sizeH);
  conf->set_padding(paddingW);
  conf->set_padding_y(paddingH);
  conf->set_output_x(outSizeW);
  conf->set_output_y(outSizeH);
  config.set_output_size(outSizeH * outSizeW * channels);
  return config;
}

Q
qijun 已提交
56 57 58 59 60 61 62 63 64 65 66 67 68 69
size_t SpatialPyramidPoolLayer::getSize() {
  CHECK_EQ(inputLayers_.size(), 1UL);
  size_t layerSize = 0;
  imgSizeH_ = inputLayers_[0]->getOutput().getFrameHeight();
  imgSizeW_ = inputLayers_[0]->getOutput().getFrameWidth();

  size_t outputH = 1;
  size_t outputW = (std::pow(4, pyramidHeight_) - 1) / (4 - 1);

  layerSize = outputH * outputW * channels_;

  getOutput().setFrameHeight(outputH);
  getOutput().setFrameWidth(outputW);
  return layerSize;
Q
qijun 已提交
70 71
}

Q
qijun 已提交
72

Q
qijun 已提交
73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98
bool SpatialPyramidPoolLayer::init(const LayerMap& layerMap,
                                   const ParameterMap& parameterMap) {
  Layer::init(layerMap, parameterMap);
  CHECK_EQ(config_.inputs_size(), 1);

  const SppConfig& sppConf = config_.inputs(0).spp_conf();
  pyramidHeight_ = sppConf.pyramid_height();
  poolType_ = sppConf.pool_type();

  channels_ = sppConf.channels();
  imgSizeW_ = sppConf.img_size();
  imgSizeH_ = sppConf.has_img_size_y() ? sppConf.img_size_y() : imgSizeW_;
  poolProjections_.reserve(pyramidHeight_);
  projCol_.reserve(pyramidHeight_);
  projOutput_.resize(pyramidHeight_);

  size_t startCol = 0;
  size_t endCol = 0;
  for (size_t i = 0; i < pyramidHeight_; i++) {
    poolProjections_.emplace_back(PoolProjection::create(
      getConfig(imgSizeW_, imgSizeH_, channels_, i, poolType_),
      nullptr, useGpu_));
    endCol += poolProjections_[i]->getOutputSize();
    projCol_.push_back(std::make_pair(startCol, endCol));
    startCol = endCol;
  }
Q
qijun 已提交
99
  CHECK_EQ(endCol, getSize());
Q
qijun 已提交
100 101 102 103 104 105 106
  return true;
}

void SpatialPyramidPoolLayer::forward(PassType passType) {
  Layer::forward(passType);

  int batchSize = getInput(0).getBatchSize();
Q
qijun 已提交
107
  resetOutput(batchSize, getSize());
Q
qijun 已提交
108 109 110 111 112 113 114
  for (size_t i = 0; i < pyramidHeight_; i++) {
    size_t startCol = projCol_[i].first;
    size_t endCol = projCol_[i].second;
    projOutput_[i].value = output_.value->subColMatrix(startCol, endCol);
    projOutput_[i].grad = output_.grad->subColMatrix(startCol, endCol);
  }
  for (size_t i = 0; i < pyramidHeight_; i++) {
Q
qijun 已提交
115
    poolProjections_[i]->forward(&getInput(0), &projOutput_[i], passType);
Q
qijun 已提交
116 117 118 119 120 121 122 123 124 125 126 127 128
  }
}

void SpatialPyramidPoolLayer::backward(const UpdateCallback& callback) {
  for (size_t i = 0; i < pyramidHeight_; i++) {
    if (poolProjections_[i]) {
      poolProjections_[i]->backward(callback);
    }
  }
}

}  // namespace paddle