Caffe
hdf5_data_layer.hpp
1 #ifndef CAFFE_HDF5_DATA_LAYER_HPP_
2 #define CAFFE_HDF5_DATA_LAYER_HPP_
3 
4 #include "hdf5.h"
5 
6 #include <string>
7 #include <vector>
8 
9 #include "caffe/blob.hpp"
10 #include "caffe/layer.hpp"
11 #include "caffe/proto/caffe.pb.h"
12 
13 #include "caffe/layers/base_data_layer.hpp"
14 
15 namespace caffe {
16 
22 template <typename Dtype>
23 class HDF5DataLayer : public Layer<Dtype> {
24  public:
25  explicit HDF5DataLayer(const LayerParameter& param)
26  : Layer<Dtype>(param), offset_() {}
27  virtual ~HDF5DataLayer();
28  virtual void LayerSetUp(const vector<Blob<Dtype>*>& bottom,
29  const vector<Blob<Dtype>*>& top);
30  // Data layers have no bottoms, so reshaping is trivial.
31  virtual void Reshape(const vector<Blob<Dtype>*>& bottom,
32  const vector<Blob<Dtype>*>& top) {}
33 
34  virtual inline const char* type() const { return "HDF5Data"; }
35  virtual inline int ExactNumBottomBlobs() const { return 0; }
36  virtual inline int MinTopBlobs() const { return 1; }
37 
38  protected:
39  void Next();
40  bool Skip();
41 
42  virtual void Forward_cpu(const vector<Blob<Dtype>*>& bottom,
43  const vector<Blob<Dtype>*>& top);
44  virtual void Forward_gpu(const vector<Blob<Dtype>*>& bottom,
45  const vector<Blob<Dtype>*>& top);
46  virtual void Backward_cpu(const vector<Blob<Dtype>*>& top,
47  const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom) {}
48  virtual void Backward_gpu(const vector<Blob<Dtype>*>& top,
49  const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom) {}
50  virtual void LoadHDF5FileData(const char* filename);
51 
52  std::vector<std::string> hdf_filenames_;
53  unsigned int num_files_;
54  unsigned int current_file_;
55  hsize_t current_row_;
56  std::vector<shared_ptr<Blob<Dtype> > > hdf_blobs_;
57  std::vector<unsigned int> data_permutation_;
58  std::vector<unsigned int> file_permutation_;
59  uint64_t offset_;
60 };
61 
62 } // namespace caffe
63 
64 #endif // CAFFE_HDF5_DATA_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 void Forward_cpu(const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top)
Using the CPU device, compute the layer output.
Definition: hdf5_data_layer.cpp:162
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: hdf5_data_layer.hpp:48
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: hdf5_data_layer.hpp:31
Provides data to the Net from HDF5 files.
Definition: hdf5_data_layer.hpp:23
virtual int MinTopBlobs() const
Returns the minimum number of top blobs required by the layer, or -1 if no minimum number is required...
Definition: hdf5_data_layer.hpp:36
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: hdf5_data_layer.cpp:73
virtual int ExactNumBottomBlobs() const
Returns the exact number of bottom blobs required by the layer, or -1 if no exact number is required...
Definition: hdf5_data_layer.hpp:35
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: hdf5_data_layer.hpp:46
virtual const char * type() const
Returns the layer type.
Definition: hdf5_data_layer.hpp:34
A wrapper around SyncedMemory holders serving as the basic computational unit through which Layers...
Definition: blob.hpp:24