reduction_layer.hpp
#ifndef CAFFE_REDUCTION_LAYER_HPP_
#define CAFFE_REDUCTION_LAYER_HPP_
#include <vector>
#include "caffe/blob.hpp"
#include "caffe/layer.hpp"
#include "caffe/proto/caffe.pb.h"
namespace caffe {
template <typename Dtype>
class ReductionLayer : public Layer<Dtype> {
public:
explicit ReductionLayer(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 "Reduction"; }
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 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);
ReductionParameter_ReductionOp op_;
Dtype coeff_;
int axis_;
int num_;
int dim_;
Blob<Dtype> sum_multiplier_;
};
} // namespace caffe
#endif // CAFFE_REDUCTION_LAYER_HPP_
caffe::ReductionLayer::dim_
int dim_
the input size of each reduction
Definition: reduction_layer.hpp:52
caffe::ReductionLayer::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::ReductionLayer::axis_
int axis_
the index of the first input axis to reduce
Definition: reduction_layer.hpp:48
caffe::ReductionLayer::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: reduction_layer.cpp:42
caffe::ReductionLayer::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: reduction_layer.hpp:30
caffe::ReductionLayer::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: reduction_layer.cpp:15
caffe::ReductionLayer::op_
ReductionParameter_ReductionOp op_
the reduction operation performed by the layer
Definition: reduction_layer.hpp:44
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::ReductionLayer::type
virtual const char * type() const
Returns the layer type.
Definition: reduction_layer.hpp:29
caffe::ReductionLayer::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: reduction_layer.hpp:31
caffe::ReductionLayer
Compute "reductions" – operations that return a scalar output Blob for an input Blob of arbitrary siz...
Definition: reduction_layer.hpp:20
caffe::ReductionLayer::sum_multiplier_
Blob< Dtype > sum_multiplier_
a helper Blob used for summation (op_ == SUM)
Definition: reduction_layer.hpp:54
caffe::ReductionLayer::coeff_
Dtype coeff_
a scalar coefficient applied to all outputs
Definition: reduction_layer.hpp:46
caffe::ReductionLayer::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::ReductionLayer::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: reduction_layer.cpp:9
caffe::ReductionLayer::num_
int num_
the number of reductions performed
Definition: reduction_layer.hpp:50
caffe
A layer factory that allows one to register layers. During runtime, registered layers can be called b...
Definition: blob.hpp:14
caffe::ReductionLayer::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: reduction_layer.cpp:77