1 #ifndef CAFFE_THRESHOLD_LAYER_HPP_ 2 #define CAFFE_THRESHOLD_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" 18 template <
typename Dtype>
32 virtual inline const char*
type()
const {
return "Threshold"; }
55 const vector<bool>& propagate_down,
const vector<
Blob<Dtype>*>& bottom) {
64 #endif // CAFFE_THRESHOLD_LAYER_HPP_ Tests whether the input exceeds a threshold: outputs 1 for inputs above threshold; 0 otherwise...
Definition: threshold_layer.hpp:19
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.
ThresholdLayer(const LayerParameter ¶m)
Definition: threshold_layer.hpp:27
A layer factory that allows one to register layers. During runtime, registered layers can be called b...
Definition: blob.hpp:14
virtual void Backward_cpu(const vector< Blob< Dtype > *> &top, const vector< bool > &propagate_down, const vector< Blob< Dtype > *> &bottom)
Not implemented (non-differentiable function)
Definition: threshold_layer.hpp:54
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: threshold_layer.cpp:8
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 Forward_cpu(const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top)
Definition: threshold_layer.cpp:15
virtual const char * type() const
Returns the layer type.
Definition: threshold_layer.hpp:32
A wrapper around SyncedMemory holders serving as the basic computational unit through which Layers...
Definition: blob.hpp:24