Caffe
pooling_layer.hpp
1 #ifndef CAFFE_POOLING_LAYER_HPP_
2 #define CAFFE_POOLING_LAYER_HPP_
3 
4 #include <vector>
5 
6 #include "caffe/blob.hpp"
7 #include "caffe/layer.hpp"
8 #include "caffe/proto/caffe.pb.h"
9 
10 namespace caffe {
11 
17 template <typename Dtype>
18 class PoolingLayer : public Layer<Dtype> {
19  public:
20  explicit PoolingLayer(const LayerParameter& param)
21  : Layer<Dtype>(param) {}
22  virtual void LayerSetUp(const vector<Blob<Dtype>*>& bottom,
23  const vector<Blob<Dtype>*>& top);
24  virtual void Reshape(const vector<Blob<Dtype>*>& bottom,
25  const vector<Blob<Dtype>*>& top);
26 
27  virtual inline const char* type() const { return "Pooling"; }
28  virtual inline int ExactNumBottomBlobs() const { return 1; }
29  virtual inline int MinTopBlobs() const { return 1; }
30  // MAX POOL layers can output an extra top blob for the mask;
31  // others can only output the pooled inputs.
32  virtual inline int MaxTopBlobs() const {
33  return (this->layer_param_.pooling_param().pool() ==
34  PoolingParameter_PoolMethod_MAX) ? 2 : 1;
35  }
36 
37  protected:
38  virtual void Forward_cpu(const vector<Blob<Dtype>*>& bottom,
39  const vector<Blob<Dtype>*>& top);
40  virtual void Forward_gpu(const vector<Blob<Dtype>*>& bottom,
41  const vector<Blob<Dtype>*>& top);
42  virtual void Backward_cpu(const vector<Blob<Dtype>*>& top,
43  const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom);
44  virtual void Backward_gpu(const vector<Blob<Dtype>*>& top,
45  const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom);
46 
47  int kernel_h_, kernel_w_;
48  int stride_h_, stride_w_;
49  int pad_h_, pad_w_;
50  int channels_;
51  int height_, width_;
52  int pooled_height_, pooled_width_;
53  bool global_pooling_;
54  Blob<Dtype> rand_idx_;
55  Blob<int> max_idx_;
56 };
57 
58 } // namespace caffe
59 
60 #endif // CAFFE_POOLING_LAYER_HPP_
virtual int MaxTopBlobs() const
Returns the maximum number of top blobs required by the layer, or -1 if no maximum number is required...
Definition: pooling_layer.hpp:32
virtual int MinTopBlobs() const
Returns the minimum number of top blobs required by the layer, or -1 if no minimum number is required...
Definition: pooling_layer.hpp:29
virtual void Forward_cpu(const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top)
Using the CPU device, compute the layer output.
Definition: pooling_layer.cpp:128
An interface for the units of computation which can be composed into a Net.
Definition: layer.hpp:33
A layer factory that allows one to register layers. During runtime, registered layers can be called b...
Definition: blob.hpp:14
virtual void Reshape(const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top)
Adjust the shapes of top blobs and internal buffers to accommodate the shapes of the bottom blobs...
Definition: pooling_layer.cpp:79
virtual void Backward_cpu(const vector< Blob< Dtype > *> &top, const vector< bool > &propagate_down, const vector< Blob< Dtype > *> &bottom)
Using the CPU device, compute the gradients for any parameters and for the bottom blobs if propagate_...
Definition: pooling_layer.cpp:230
virtual const char * type() const
Returns the layer type.
Definition: pooling_layer.hpp:27
virtual int ExactNumBottomBlobs() const
Returns the exact number of bottom blobs required by the layer, or -1 if no exact number is required...
Definition: pooling_layer.hpp:28
virtual void LayerSetUp(const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top)
Does layer-specific setup: your layer should implement this function as well as Reshape.
Definition: pooling_layer.cpp:14
virtual void Forward_gpu(const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top)
Using the GPU device, compute the layer output. Fall back to Forward_cpu() if unavailable.
LayerParameter layer_param_
Definition: layer.hpp:297
Pools the input image by taking the max, average, etc. within regions.
Definition: pooling_layer.hpp:18
virtual void Backward_gpu(const vector< Blob< Dtype > *> &top, const vector< bool > &propagate_down, const vector< Blob< Dtype > *> &bottom)
Using the GPU device, compute the gradients for any parameters and for the bottom blobs if propagate_...
A wrapper around SyncedMemory holders serving as the basic computational unit through which Layers...
Definition: blob.hpp:24