Caffe
inner_product_layer.hpp
1 #ifndef CAFFE_INNER_PRODUCT_LAYER_HPP_
2 #define CAFFE_INNER_PRODUCT_LAYER_HPP_
3 
4 #include <vector>
5 
6 #include "caffe/blob.hpp"
7 #include "caffe/layer.hpp"
8 #include "caffe/proto/caffe.pb.h"
9 
10 namespace caffe {
11 
18 template <typename Dtype>
19 class InnerProductLayer : public Layer<Dtype> {
20  public:
21  explicit InnerProductLayer(const LayerParameter& param)
22  : Layer<Dtype>(param) {}
23  virtual void LayerSetUp(const vector<Blob<Dtype>*>& bottom,
24  const vector<Blob<Dtype>*>& top);
25  virtual void Reshape(const vector<Blob<Dtype>*>& bottom,
26  const vector<Blob<Dtype>*>& top);
27 
28  virtual inline const char* type() const { return "InnerProduct"; }
29  virtual inline int ExactNumBottomBlobs() const { return 1; }
30  virtual inline int ExactNumTopBlobs() const { return 1; }
31 
32  protected:
33  virtual void Forward_cpu(const vector<Blob<Dtype>*>& bottom,
34  const vector<Blob<Dtype>*>& top);
35  virtual void Forward_gpu(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 Backward_gpu(const vector<Blob<Dtype>*>& top,
40  const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom);
41 
42  int M_;
43  int K_;
44  int N_;
45  bool bias_term_;
46  Blob<Dtype> bias_multiplier_;
47  bool transpose_;
48 };
49 
50 } // namespace caffe
51 
52 #endif // CAFFE_INNER_PRODUCT_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 const char * type() const
Returns the layer type.
Definition: inner_product_layer.hpp:28
virtual int ExactNumTopBlobs() const
Returns the exact number of top blobs required by the layer, or -1 if no exact number is required...
Definition: inner_product_layer.hpp:30
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: inner_product_layer.cpp:58
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 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_...
bool transpose_
if true, assume transposed weights
Definition: inner_product_layer.hpp:47
Also known as a "fully-connected" layer, computes an inner product with a set of learned weights...
Definition: inner_product_layer.hpp:19
virtual int ExactNumBottomBlobs() const
Returns the exact number of bottom blobs required by the layer, or -1 if no exact number is required...
Definition: inner_product_layer.hpp:29
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: inner_product_layer.cpp:10
virtual void Forward_cpu(const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top)
Using the CPU device, compute the layer output.
Definition: inner_product_layer.cpp:84
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: inner_product_layer.cpp:100
A wrapper around SyncedMemory holders serving as the basic computational unit through which Layers...
Definition: blob.hpp:24