1 #ifndef CAFFE_SOFTMAX_LAYER_HPP_
2 #define CAFFE_SOFTMAX_LAYER_HPP_
6 #include "caffe/blob.hpp"
7 #include "caffe/layer.hpp"
8 #include "caffe/proto/caffe.pb.h"
17 template <
typename Dtype>
25 virtual inline const char*
type()
const {
return "Softmax"; }
35 const vector<bool>& propagate_down,
const vector<
Blob<Dtype>*>& bottom);
37 const vector<bool>& propagate_down,
const vector<
Blob<Dtype>*>& bottom);
50 #endif // CAFFE_SOFTMAX_LAYER_HPP_
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.
virtual int ExactNumBottomBlobs() const
Returns the exact number of bottom blobs required by the layer, or -1 if no exact number is required.
Definition: softmax_layer.hpp:26
Computes the softmax function.
Definition: softmax_layer.hpp:18
Blob< Dtype > scale_
scale is an intermediate Blob to hold temporary results.
Definition: softmax_layer.hpp:45
virtual void Forward_cpu(const vector< Blob< Dtype > * > &bottom, const vector< Blob< Dtype > * > &top)
Using the CPU device, compute the layer output.
Definition: softmax_layer.cpp:27
A wrapper around SyncedMemory holders serving as the basic computational unit through which Layers,...
Definition: blob.hpp:24
An interface for the units of computation which can be composed into a Net.
Definition: layer.hpp:33
virtual const char * type() const
Returns the layer type.
Definition: softmax_layer.hpp:25
virtual int ExactNumTopBlobs() const
Returns the exact number of top blobs required by the layer, or -1 if no exact number is required.
Definition: softmax_layer.hpp:27
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 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: softmax_layer.cpp:10
Blob< Dtype > sum_multiplier_
sum_multiplier is used to carry out sum using BLAS
Definition: softmax_layer.hpp:43
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: softmax_layer.cpp:63