1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
|
#ifndef _CU_RECURRENT_H_
#define _CU_RECURRENT_H_
#include "cuComponent.h"
#include "cumatrix.h"
#include "Matrix.h"
#include "Vector.h"
namespace TNet {
class CuRecurrent : public CuUpdatableComponent
{
public:
CuRecurrent(size_t nInputs, size_t nOutputs, CuComponent *pPred);
~CuRecurrent();
ComponentType GetType() const;
const char* GetName() const;
//CuUpdatableComponent API
void PropagateFnc(const CuMatrix<BaseFloat>& X, CuMatrix<BaseFloat>& Y);
void BackpropagateFnc(const CuMatrix<BaseFloat>& X, CuMatrix<BaseFloat>& Y);
void Update();
//Recurrent training API
void BpttOrder(int ord) {
mBpttOrder = ord;
mInputHistory.Init(ord+1,GetNInputs()+GetNOutputs());
}
void ClearHistory() {
mInputHistory.SetConst(0.0);
if(mOutput.MSize() > 0) {
mOutput.SetConst(0.0);
}
}
//I/O
void ReadFromStream(std::istream& rIn);
void WriteToStream(std::ostream& rOut);
protected:
CuMatrix<BaseFloat> mLinearity;
CuVector<BaseFloat> mBias;
CuMatrix<BaseFloat> mLinearityCorrection;
CuVector<BaseFloat> mBiasCorrection;
CuMatrix<BaseFloat> mInputHistory;
int mBpttOrder;
};
////////////////////////////////////////////////////////////////////////////
// INLINE FUNCTIONS
// CuRecurrent::
inline
CuRecurrent::
CuRecurrent(size_t nInputs, size_t nOutputs, CuComponent *pPred)
: CuUpdatableComponent(nInputs, nOutputs, pPred),
mLinearity(nInputs+nOutputs,nOutputs),
mBias(nOutputs),
mLinearityCorrection(nInputs+nOutputs,nOutputs),
mBiasCorrection(nOutputs)
{ }
inline
CuRecurrent::
~CuRecurrent()
{ }
inline CuComponent::ComponentType
CuRecurrent::
GetType() const
{
return CuComponent::RECURRENT;
}
inline const char*
CuRecurrent::
GetName() const
{
return "<recurrent>";
}
} //namespace
#endif
|