scale_layer.hpp
#ifndef CAFFE_SCALE_LAYER_HPP_
#define CAFFE_SCALE_LAYER_HPP_
#include <vector>
#include "caffe/blob.hpp"
#include "caffe/layer.hpp"
#include "caffe/proto/caffe.pb.h"
#include "caffe/layers/bias_layer.hpp"
namespace caffe {
template <typename Dtype>
class ScaleLayer: public Layer<Dtype> {
public:
explicit ScaleLayer(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 "Scale"; }
// Scale
virtual inline int MinBottomBlobs() const { return 1; }
virtual inline int MaxBottomBlobs() const { return 2; }
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);
shared_ptr<Layer<Dtype> > bias_layer_;
vector<Blob<Dtype>*> bias_bottom_vec_;
vector<bool> bias_propagate_down_;
int bias_param_id_;
Blob<Dtype> sum_multiplier_;
Blob<Dtype> sum_result_;
Blob<Dtype> temp_;
int axis_;
int outer_dim_, scale_dim_, inner_dim_;
};
} // namespace caffe
#endif // CAFFE_SCALE_LAYER_HPP_
caffe::ScaleLayer::Forward_cpu
virtual void Forward_cpu(const vector< Blob< Dtype > * > &bottom, const vector< Blob< Dtype > * > &top)
Definition: scale_layer.cpp:117
caffe::ScaleLayer::type
virtual const char * type() const
Returns the layer type.
Definition: scale_layer.hpp:35
caffe::ScaleLayer::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: scale_layer.cpp:145
caffe::ScaleLayer::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: scale_layer.cpp:76
caffe::ScaleLayer::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: scale_layer.cpp:12
caffe::Blob
A wrapper around SyncedMemory holders serving as the basic computational unit through which Layers,...
Definition: blob.hpp:24
caffe::ScaleLayer::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::ScaleLayer::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: scale_layer.hpp:37
caffe::Layer
An interface for the units of computation which can be composed into a Net.
Definition: layer.hpp:33
caffe::ScaleLayer::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: scale_layer.hpp:39
caffe::ScaleLayer
Computes the elementwise product of two input Blobs, with the shape of the latter Blob "broadcast" to...
Definition: scale_layer.hpp:26
caffe::ScaleLayer::MaxBottomBlobs
virtual int MaxBottomBlobs() const
Returns the maximum number of bottom blobs required by the layer, or -1 if no maximum number is requi...
Definition: scale_layer.hpp:38
caffe
A layer factory that allows one to register layers. During runtime, registered layers can be called b...
Definition: blob.hpp:14
caffe::ScaleLayer::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_...