-
Notifications
You must be signed in to change notification settings - Fork 20
/
Copy pathlstm.h
85 lines (73 loc) · 2.87 KB
/
lstm.h
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
/*
* Copyright (c) 2015 Vrije Universiteit Brussel
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
* THE SOFTWARE.
*/
#ifndef __LSTM_H__
#define __LSTM_H__
#include "abstractrecurrentnetworknode.h"
class MergeSum;
class MergeProduct;
/**
* @brief Long Short-Term Memory layer
*
* This layer contains memory and can be used to model sequences of input. At
* each time step, the value it produces depends on all the previous time steps.
* An episode is finished by calling reset(), which Network::reset() does.
*/
class LSTM : public AbstractRecurrentNetworkNode
{
public:
/**
* @brief Layer of LSTM cells. All the input and output ports of this
* layer have the same shape.
*
* @note This constructor wires some recurrent connexions (output to inGate,
* outGate and forgetGate). Adding more connexions is possible by
* calling addInput, addInGate, addOutGate and addForgetGate. For
* instance, the input is often connected to inGate, outGate and
* forgetGate. See GRU::GRU for advice about those connections.
*/
LSTM(unsigned int size, Float learning_rate, Float decay = 0.9f);
/**
* @brief Add an X input to this network
*/
void addInput(Port *input);
/**
* @brief Add an input gate input to this network
*/
void addInGate(Port *in);
/**
* @brief Add an output gate input to this network
*/
void addOutGate(Port *out);
/**
* @brief Add a forget gate input to this network
*/
void addForgetGate(Port *forget);
virtual Port* output();
private:
MergeSum *_inputs;
MergeSum *_ingates;
MergeSum *_outgates;
MergeSum *_forgetgates;
MergeSum *_cells;
MergeProduct *_output;
};
#endif