1 #ifndef CAFFE_POOLING_LAYER_HPP_ 2 #define CAFFE_POOLING_LAYER_HPP_ 6 #include "caffe/blob.hpp" 7 #include "caffe/layer.hpp" 8 #include "caffe/proto/caffe.pb.h" 17 template <
typename Dtype>
27 virtual inline const char*
type()
const {
return "Pooling"; }
34 PoolingParameter_PoolMethod_MAX) ? 2 : 1;
43 const vector<bool>& propagate_down,
const vector<
Blob<Dtype>*>& bottom);
45 const vector<bool>& propagate_down,
const vector<
Blob<Dtype>*>& bottom);
47 int kernel_h_, kernel_w_;
48 int stride_h_, stride_w_;
52 int pooled_height_, pooled_width_;
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