1 #ifndef CAFFE_BNLL_LAYER_HPP_ 2 #define CAFFE_BNLL_LAYER_HPP_ 6 #include "caffe/blob.hpp" 7 #include "caffe/layer.hpp" 8 #include "caffe/proto/caffe.pb.h" 10 #include "caffe/layers/neuron_layer.hpp" 31 template <
typename Dtype>
34 explicit BNLLLayer(
const LayerParameter& param)
37 virtual inline const char*
type()
const {
return "BNLL"; }
63 const vector<bool>& propagate_down,
const vector<
Blob<Dtype>*>& bottom);
65 const vector<bool>& propagate_down,
const vector<
Blob<Dtype>*>& bottom);
70 #endif // CAFFE_BNLL_LAYER_HPP_ A layer factory that allows one to register layers. During runtime, registered layers can be called b...
Definition: blob.hpp:14
virtual const char * type() const
Returns the layer type.
Definition: bnll_layer.hpp:37
Computes if ; otherwise.
Definition: bnll_layer.hpp:32
An interface for layers that take one blob as input ( ) and produce one equally-sized blob as output ...
Definition: neuron_layer.hpp:19
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 BNLL inputs.
Definition: bnll_layer.cpp:24
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_...
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 void Forward_cpu(const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top)
Computes if ; otherwise.
Definition: bnll_layer.cpp:11
A wrapper around SyncedMemory holders serving as the basic computational unit through which Layers...
Definition: blob.hpp:24