doxygen/dummy__data__layer_8hpp_source.html

 #ifndef CAFFE_DUMMY_DATA_LAYER_HPP_
 #define CAFFE_DUMMY_DATA_LAYER_HPP_

 #include <vector>

 #include "caffe/blob.hpp"
 #include "caffe/filler.hpp"
 #include "caffe/layer.hpp"
 #include "caffe/proto/caffe.pb.h"

 namespace caffe {

 template <typename Dtype>
 class DummyDataLayer : public Layer<Dtype> {
  public:
   explicit DummyDataLayer(const LayerParameter& param)
       : Layer<Dtype>(param) {}
   virtual void LayerSetUp(const vector<Blob<Dtype>*>& bottom,
       const vector<Blob<Dtype>*>& top);
   // Data layers have no bottoms, so reshaping is trivial.
   virtual void Reshape(const vector<Blob<Dtype>*>& bottom,
       const vector<Blob<Dtype>*>& top) {}

   virtual inline const char* type() const { return "DummyData"; }
   virtual inline int ExactNumBottomBlobs() const { return 0; }
   virtual inline int MinTopBlobs() const { return 1; }

  protected:
   virtual void Forward_cpu(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) {}

   vector<shared_ptr<Filler<Dtype> > > fillers_;
   vector<bool> refill_;
 };

 }  // namespace caffe

 #endif  // CAFFE_DUMMY_DATA_LAYER_HPP_
caffe::Layer
An interface for the units of computation which can be composed into a Net.
Definition: layer.hpp:33

caffe
A layer factory that allows one to register layers. During runtime, registered layers can be called b...
Definition: blob.hpp:14

caffe::DummyDataLayer::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_...
Definition: dummy_data_layer.hpp:38

caffe::DummyDataLayer
Provides data to the Net generated by a Filler.
Definition: dummy_data_layer.hpp:19

caffe::DummyDataLayer::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: dummy_data_layer.hpp:26

caffe::DummyDataLayer::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: dummy_data_layer.cpp:9

caffe::DummyDataLayer::MinTopBlobs
virtual int MinTopBlobs() const
Returns the minimum number of top blobs required by the layer, or -1 if no minimum number is required...
Definition: dummy_data_layer.hpp:31

caffe::DummyDataLayer::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: dummy_data_layer.hpp:30

caffe::DummyDataLayer::type
virtual const char * type() const
Returns the layer type.
Definition: dummy_data_layer.hpp:29

caffe::DummyDataLayer::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: dummy_data_layer.hpp:36

caffe::DummyDataLayer::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: dummy_data_layer.cpp:101

caffe::Blob
A wrapper around SyncedMemory holders serving as the basic computational unit through which Layers...
Definition: blob.hpp:24