Caffe
crop_layer.hpp
1 #ifndef CAFFE_CROP_LAYER_HPP_
2 #define CAFFE_CROP_LAYER_HPP_
3 
4 #include <utility>
5 #include <vector>
6 
7 #include "caffe/blob.hpp"
8 #include "caffe/layer.hpp"
9 #include "caffe/proto/caffe.pb.h"
10 
11 namespace caffe {
12 
20 template <typename Dtype>
21 class CropLayer : public Layer<Dtype> {
22  public:
23  explicit CropLayer(const LayerParameter& param)
24  : Layer<Dtype>(param) {}
25  virtual void LayerSetUp(const vector<Blob<Dtype>*>& bottom,
26  const vector<Blob<Dtype>*>& top);
27  virtual void Reshape(const vector<Blob<Dtype>*>& bottom,
28  const vector<Blob<Dtype>*>& top);
29 
30  virtual inline const char* type() const { return "Crop"; }
31  virtual inline int ExactNumBottomBlobs() const { return 2; }
32  virtual inline int ExactNumTopBlobs() const { return 1; }
33 
34  protected:
35  virtual void Forward_cpu(const vector<Blob<Dtype>*>& bottom,
36  const vector<Blob<Dtype>*>& top);
37  virtual void Backward_cpu(const vector<Blob<Dtype>*>& top,
38  const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom);
39  virtual void Forward_gpu(const vector<Blob<Dtype>*>& bottom,
40  const vector<Blob<Dtype>*>& top);
41  virtual void Backward_gpu(const vector<Blob<Dtype>*>& top,
42  const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom);
43 
44  vector<int> offsets;
45 
46  private:
47  // Recursive copy function.
48  void crop_copy(const vector<Blob<Dtype>*>& bottom,
49  const vector<Blob<Dtype>*>& top,
50  const vector<int>& offsets,
51  vector<int> indices,
52  int cur_dim,
53  const Dtype* src_data,
54  Dtype* dest_data,
55  bool is_forward);
56 
57  // Recursive copy function: this is similar to crop_copy() but loops over all
58  // but the last two dimensions to allow for ND cropping while still relying on
59  // a CUDA kernel for the innermost two dimensions for performance reasons. An
60  // alterantive implementation could rely on the kernel more by passing
61  // offsets, but this is problematic because of its variable length.
62  // Since in the standard (N,C,W,H) case N,C are usually not cropped a speedup
63  // could be achieved by not looping the application of the copy_kernel around
64  // these dimensions.
65  void crop_copy_gpu(const vector<Blob<Dtype>*>& bottom,
66  const vector<Blob<Dtype>*>& top,
67  const vector<int>& offsets,
68  vector<int> indices,
69  int cur_dim,
70  const Dtype* src_data,
71  Dtype* dest_data,
72  bool is_forward);
73 };
74 } // namespace caffe
75 
76 #endif // CAFFE_CROP_LAYER_HPP_
virtual const char * type() const
Returns the layer type.
Definition: crop_layer.hpp:30
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_...
virtual int ExactNumTopBlobs() const
Returns the exact number of top blobs required by the layer, or -1 if no exact number is required...
Definition: crop_layer.hpp:32
virtual int ExactNumBottomBlobs() const
Returns the exact number of bottom blobs required by the layer, or -1 if no exact number is required...
Definition: crop_layer.hpp:31
Takes a Blob and crop it, to the shape specified by the second input Blob, across all dimensions afte...
Definition: crop_layer.hpp:21
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: crop_layer.cpp:36
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: crop_layer.cpp:113
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: crop_layer.cpp:122
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: crop_layer.cpp:16
A wrapper around SyncedMemory holders serving as the basic computational unit through which Layers...
Definition: blob.hpp:24