concat_layer.hpp
#ifndef CAFFE_CONCAT_LAYER_HPP_
#define CAFFE_CONCAT_LAYER_HPP_
#include <vector>
#include "caffe/blob.hpp"
#include "caffe/layer.hpp"
#include "caffe/proto/caffe.pb.h"
namespace caffe {
template <typename Dtype>
class ConcatLayer : public Layer<Dtype> {
public:
explicit ConcatLayer(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 "Concat"; }
virtual inline int MinBottomBlobs() 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 Forward_gpu(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 Backward_gpu(const vector<Blob<Dtype>*>& top,
const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom);
int count_;
int num_concats_;
int concat_input_size_;
int concat_axis_;
};
} // namespace caffe
#endif // CAFFE_CONCAT_LAYER_HPP_
caffe::ConcatLayer::Forward_cpu
virtual void Forward_cpu(const vector< Blob< Dtype > * > &bottom, const vector< Blob< Dtype > * > &top)
Definition: concat_layer.cpp:57
caffe::ConcatLayer::Backward_cpu
virtual void Backward_cpu(const vector< Blob< Dtype > * > &top, const vector< bool > &propagate_down, const vector< Blob< Dtype > * > &bottom)
Computes the error gradient w.r.t. the concatenate inputs.
Definition: concat_layer.cpp:77
caffe::ConcatLayer::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: concat_layer.hpp:28
caffe::ConcatLayer
Takes at least two Blobs and concatenates them along either the num or channel dimension,...
Definition: concat_layer.hpp:17
caffe::ConcatLayer::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_...
caffe::ConcatLayer::type
virtual const char * type() const
Returns the layer type.
Definition: concat_layer.hpp:26
caffe::ConcatLayer::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: concat_layer.cpp:9
caffe::ConcatLayer::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.
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::ConcatLayer::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: concat_layer.cpp:17
caffe
A layer factory that allows one to register layers. During runtime, registered layers can be called b...
Definition: blob.hpp:14
caffe::ConcatLayer::MinBottomBlobs
virtual int MinBottomBlobs() const
Returns the minimum number of bottom blobs required by the layer, or -1 if no minimum number is requi...
Definition: concat_layer.hpp:27