Caffe
dummy_data_layer.hpp
1 #ifndef CAFFE_DUMMY_DATA_LAYER_HPP_
2 #define CAFFE_DUMMY_DATA_LAYER_HPP_
3 
4 #include <vector>
5 
6 #include "caffe/blob.hpp"
7 #include "caffe/filler.hpp"
8 #include "caffe/layer.hpp"
9 #include "caffe/proto/caffe.pb.h"
10 
11 namespace caffe {
12 
18 template <typename Dtype>
19 class DummyDataLayer : public Layer<Dtype> {
20  public:
21  explicit DummyDataLayer(const LayerParameter& param)
22  : Layer<Dtype>(param) {}
23  virtual void LayerSetUp(const vector<Blob<Dtype>*>& bottom,
24  const vector<Blob<Dtype>*>& top);
25  // Data layers should be shared by multiple solvers in parallel
26  virtual inline bool ShareInParallel() const { return true; }
27  // Data layers have no bottoms, so reshaping is trivial.
28  virtual void Reshape(const vector<Blob<Dtype>*>& bottom,
29  const vector<Blob<Dtype>*>& top) {}
30 
31  virtual inline const char* type() const { return "DummyData"; }
32  virtual inline int ExactNumBottomBlobs() const { return 0; }
33  virtual inline int MinTopBlobs() const { return 1; }
34 
35  protected:
36  virtual void Forward_cpu(const vector<Blob<Dtype>*>& bottom,
37  const vector<Blob<Dtype>*>& top);
38  virtual void Backward_cpu(const vector<Blob<Dtype>*>& top,
39  const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom) {}
40  virtual void Backward_gpu(const vector<Blob<Dtype>*>& top,
41  const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom) {}
42 
43  vector<shared_ptr<Filler<Dtype> > > fillers_;
44  vector<bool> refill_;
45 };
46 
47 } // namespace caffe
48 
49 #endif // CAFFE_DUMMY_DATA_LAYER_HPP_
An interface for the units of computation which can be composed into a Net.
Definition: layer.hpp:33
A layer factory that allows one to register layers. During runtime, registered layers can be called b...
Definition: blob.hpp:14
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:40
Provides data to the Net generated by a Filler.
Definition: dummy_data_layer.hpp:19
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:28
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
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:33
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:32
virtual const char * type() const
Returns the layer type.
Definition: dummy_data_layer.hpp:31
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:38
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
A wrapper around SyncedMemory holders serving as the basic computational unit through which Layers...
Definition: blob.hpp:24