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maximumCaffe.hpp
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1 #ifndef OPENPOSE_NET_MAXIMUM_CAFFE_HPP
2 #define OPENPOSE_NET_MAXIMUM_CAFFE_HPP
3 
5 
6 namespace op
7 {
8  // It mostly follows the Caffe::layer implementation, so Caffe users can easily use it. However, in order to keep
9  // the compatibility with any generic Caffe version, we keep this 'layer' inside our library rather than in the
10  // Caffe code.
11  template <typename T>
13  {
14  public:
15  explicit MaximumCaffe();
16 
17  virtual ~MaximumCaffe();
18 
19  virtual void LayerSetUp(const std::vector<caffe::Blob<T>*>& bottom, const std::vector<caffe::Blob<T>*>& top);
20 
21  virtual void Reshape(const std::vector<caffe::Blob<T>*>& bottom, const std::vector<caffe::Blob<T>*>& top);
22 
23  virtual inline const char* type() const { return "Maximum"; }
24 
25  virtual void Forward_cpu(const std::vector<caffe::Blob<T>*>& bottom, const std::vector<caffe::Blob<T>*>& top);
26 
27  virtual void Forward_gpu(const std::vector<caffe::Blob<T>*>& bottom, const std::vector<caffe::Blob<T>*>& top);
28 
29  virtual void Backward_cpu(const std::vector<caffe::Blob<T>*>& top, const std::vector<bool>& propagate_down,
30  const std::vector<caffe::Blob<T>*>& bottom);
31 
32  virtual void Backward_gpu(const std::vector<caffe::Blob<T>*>& top, const std::vector<bool>& propagate_down,
33  const std::vector<caffe::Blob<T>*>& bottom);
34 
35  private:
36  std::array<int, 4> mBottomSize;
37  std::array<int, 4> mTopSize;
38  };
39 }
40 
41 #endif // OPENPOSE_NET_MAXIMUM_CAFFE_HPP
Definition: maximumCaffe.hpp:12
virtual const char * type() const
Definition: maximumCaffe.hpp:23
Definition: macros.hpp:80
std::vector< T, Alloc > vector
Definition: cl2.hpp:567
#define OP_API
Definition: macros.hpp:18