PoolLayer.cpp 2.4 KB
Newer Older
1
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
Z
zhangjinchao01 已提交
2 3 4 5 6 7 8 9 10 11 12 13 14 15

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 "PoolLayer.h"
16
#include "MaxPoolWithMaskLayer.h"
Z
zhangjinchao01 已提交
17
#include "PoolProjectionLayer.h"
Y
Yu Yang 已提交
18
#include "paddle/utils/Logging.h"
19
#ifdef PADDLE_WITH_CUDA
Z
zhangjinchao01 已提交
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
#include "CudnnPoolLayer.h"
#endif
namespace paddle {

REGISTER_LAYER_CREATE_FUNC(pool, &PoolLayer::create);

bool PoolLayer::init(const LayerMap& layerMap,
                     const ParameterMap& parameterMap) {
  /* Initialize the basic parent class */
  Layer::init(layerMap, parameterMap);

  /* the size of inputs for pool-layer is 1 */
  CHECK_EQ(config_.inputs_size(), 1);

  const PoolConfig& conf = config_.inputs(0).pool_conf();
  poolType_ = conf.pool_type();
  channels_ = conf.channels();
  sizeX_ = conf.size_x();
  stride_ = conf.stride();
  outputX_ = conf.output_x();
  imgSize_ = conf.img_size();
  confPadding_ = conf.padding();

  sizeY_ = conf.has_size_y() ? conf.size_y() : conf.size_x();
  imgSizeY_ = conf.has_img_size_y() ? conf.img_size_y() : conf.img_size();
  strideY_ = conf.has_stride_y() ? conf.stride_y() : conf.stride();
  confPaddingY_ = conf.has_padding_y() ? conf.padding_y() : conf.padding();
  outputY_ = conf.has_output_y() ? conf.output_y() : conf.output_x();
48 49

  excludeMode_ = conf.has_exclude_mode() ? conf.exclude_mode() : true;
Z
zhangjinchao01 已提交
50 51 52 53 54 55
  return true;
}

Layer* PoolLayer::create(const LayerConfig& config) {
  CHECK_EQ(config.inputs_size(), 1);
  const std::string& pool = config.inputs(0).pool_conf().pool_type();
56
  if (pool == "max-projection" || pool == "avg-projection") {
57
    return new PoolProjectionLayer(config);
58
#ifdef PADDLE_WITH_CUDA
Z
zhangjinchao01 已提交
59 60 61
  } else if (CudnnPoolLayer::typeCheck(pool)) {
    return new CudnnPoolLayer(config);
#endif
62 63
  } else if (pool == "max-pool-with-mask") {
    return new MaxPoolWithMaskLayer(config);
Z
zhangjinchao01 已提交
64 65 66 67 68 69 70
  } else {
    LOG(FATAL) << "Unknown pool type: " << pool;
    return nullptr;
  }
}

}  // namespace paddle