reshape_layer.hpp
#ifndef CAFFE_XXX_LAYER_HPP_
#define CAFFE_XXX_LAYER_HPP_
#include <vector>
#include "caffe/blob.hpp"
#include "caffe/layer.hpp"
#include "caffe/proto/caffe.pb.h"
namespace caffe {
/*
* @brief Reshapes the input Blob into an arbitrary-sized output Blob.
*
* Note: similarly to FlattenLayer, this layer does not change the input values
* (see FlattenLayer, Blob::ShareData and Blob::ShareDiff).
*/
template <typename Dtype>
class ReshapeLayer : public Layer<Dtype> {
public:
explicit ReshapeLayer(const LayerParameter& param)
: Layer<Dtype>(param) {}
virtual void LayerSetUp(const vector<Blob<Dtype>*>& bottom,
const vector<Blob<Dtype>*>& top);
virtual void Reshape(const vector<Blob<Dtype>*>& bottom,
const vector<Blob<Dtype>*>& top);
virtual inline const char* type() const { return "Reshape"; }
virtual inline int ExactNumBottomBlobs() const { return 1; }
virtual inline int ExactNumTopBlobs() const { return 1; }
protected:
virtual void Forward_cpu(const vector<Blob<Dtype>*>& bottom,
const vector<Blob<Dtype>*>& top) {}
virtual void Backward_cpu(const vector<Blob<Dtype>*>& top,
const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom) {}
virtual void Forward_gpu(const vector<Blob<Dtype>*>& bottom,
const vector<Blob<Dtype>*>& top) {}
virtual void Backward_gpu(const vector<Blob<Dtype>*>& top,
const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom) {}
vector<int> copy_axes_;
int inferred_axis_;
int constant_count_;
};
} // namespace caffe
#endif // CAFFE_XXX_LAYER_HPP_
caffe::ReshapeLayer::type
virtual const char * type() const
Returns the layer type.
Definition: reshape_layer.hpp:28
caffe::ReshapeLayer::Reshape
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: reshape_layer.cpp:32
caffe::ReshapeLayer::ExactNumTopBlobs
virtual int ExactNumTopBlobs() const
Returns the exact number of top blobs required by the layer, or -1 if no exact number is required.
Definition: reshape_layer.hpp:30
caffe::Blob
A wrapper around SyncedMemory holders serving as the basic computational unit through which Layers,...
Definition: blob.hpp:24
caffe::Layer
An interface for the units of computation which can be composed into a Net.
Definition: layer.hpp:33
caffe::ReshapeLayer::inferred_axis_
int inferred_axis_
the index of the axis whose dimension we infer, or -1 if none
Definition: reshape_layer.hpp:45
caffe::ReshapeLayer::Backward_gpu
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_...
Definition: reshape_layer.hpp:39
caffe::ReshapeLayer::Forward_gpu
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.
Definition: reshape_layer.hpp:37
caffe::ReshapeLayer::Forward_cpu
virtual void Forward_cpu(const vector< Blob< Dtype > * > &bottom, const vector< Blob< Dtype > * > &top)
Using the CPU device, compute the layer output.
Definition: reshape_layer.hpp:33
caffe::ReshapeLayer::copy_axes_
vector< int > copy_axes_
vector of axes indices whose dimensions we'll copy from the bottom
Definition: reshape_layer.hpp:43
caffe::ReshapeLayer
Definition: reshape_layer.hpp:19
caffe::ReshapeLayer::constant_count_
int constant_count_
the product of the "constant" output dimensions
Definition: reshape_layer.hpp:47
caffe
A layer factory that allows one to register layers. During runtime, registered layers can be called b...
Definition: blob.hpp:14
caffe::ReshapeLayer::ExactNumBottomBlobs
virtual int ExactNumBottomBlobs() const
Returns the exact number of bottom blobs required by the layer, or -1 if no exact number is required.
Definition: reshape_layer.hpp:29
caffe::ReshapeLayer::LayerSetUp
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: reshape_layer.cpp:8
caffe::ReshapeLayer::Backward_cpu
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: reshape_layer.hpp:35