Skip to content
项目
群组
代码片段
帮助
当前项目
正在载入...
登录 / 注册
切换导航面板
N
NiuTrans.Tensor
概览
Overview
Details
Activity
Cycle Analytics
版本库
Repository
Files
Commits
Branches
Tags
Contributors
Graph
Compare
Charts
问题
0
Issues
0
列表
Board
标记
里程碑
合并请求
0
Merge Requests
0
CI / CD
CI / CD
流水线
作业
日程表
图表
维基
Wiki
代码片段
Snippets
成员
Collapse sidebar
Close sidebar
活动
图像
聊天
创建新问题
作业
提交
Issue Boards
Open sidebar
杨迪
NiuTrans.Tensor
Commits
005739bc
Commit
005739bc
authored
Jul 31, 2018
by
xiaotong
Browse files
Options
Browse Files
Download
Email Patches
Plain Diff
add device id and mem pool to each module
parent
2058ca57
显示空白字符变更
内嵌
并排
正在显示
8 个修改的文件
包含
108 行增加
和
12 行删除
+108
-12
source/sample/transformer/T2TAttention.cpp
+6
-3
source/sample/transformer/T2TAttention.h
+7
-1
source/sample/transformer/T2TEncoder.cpp
+7
-3
source/sample/transformer/T2TEncoder.h
+1
-1
source/sample/transformer/T2TFNN.cpp
+6
-3
source/sample/transformer/T2TFNN.h
+1
-1
source/sample/transformer/T2TLayerNormal.cpp
+58
-0
source/sample/transformer/T2TLayerNormal.h
+22
-0
没有找到文件。
source/sample/transformer/T2TAttention.cpp
查看文件 @
005739bc
...
@@ -43,11 +43,14 @@ T2TAttention::~T2TAttention()
...
@@ -43,11 +43,14 @@ T2TAttention::~T2TAttention()
initialize the model
initialize the model
>> argc - number of arguments
>> argc - number of arguments
>> argv - list pf pointers to the arguments
>> argv - list pf pointers to the arguments
>>
d
evID - device id
>>
myD
evID - device id
>> mem - the memory pool
>> m
yM
em - the memory pool
*/
*/
void
T2TAttention
::
InitModel
(
int
argc
,
const
char
**
argv
,
int
devID
,
XMem
*
m
em
)
void
T2TAttention
::
InitModel
(
int
argc
,
const
char
**
argv
,
int
myDevID
,
XMem
*
myM
em
)
{
{
devID
=
myDevID
;
mem
=
myMem
;
float
minmax
=
0
;
float
minmax
=
0
;
LoadParamInt
(
argc
,
argv
,
"nhead"
,
&
nhead
,
8
);
LoadParamInt
(
argc
,
argv
,
"nhead"
,
&
nhead
,
8
);
...
...
source/sample/transformer/T2TAttention.h
查看文件 @
005739bc
...
@@ -39,6 +39,12 @@ where head_i = Attention(Q * w_i^Q, K * w_i^K, V * w_i^V)
...
@@ -39,6 +39,12 @@ where head_i = Attention(Q * w_i^Q, K * w_i^K, V * w_i^V)
class
T2TAttention
class
T2TAttention
{
{
public
:
public
:
/* device id */
int
devID
;
/* memory pool */
XMem
*
mem
;
/* head number */
/* head number */
int
nhead
;
int
nhead
;
...
@@ -62,7 +68,7 @@ public:
...
@@ -62,7 +68,7 @@ public:
~
T2TAttention
();
~
T2TAttention
();
/* initialize the model */
/* initialize the model */
void
InitModel
(
int
argc
,
const
char
**
argv
,
int
devID
=
-
1
,
XMem
*
m
em
=
NULL
);
void
InitModel
(
int
argc
,
const
char
**
argv
,
int
myDevID
=
-
1
,
XMem
*
myM
em
=
NULL
);
};
};
}
}
...
...
source/sample/transformer/T2TEncoder.cpp
查看文件 @
005739bc
...
@@ -19,6 +19,7 @@
...
@@ -19,6 +19,7 @@
* $Created by: XIAO Tong (xiaotong@mail.neu.edu.cn) 2018-07-31
* $Created by: XIAO Tong (xiaotong@mail.neu.edu.cn) 2018-07-31
*/
*/
#include <math.h>
#include "T2TEncoder.h"
#include "T2TEncoder.h"
#include "T2TUtility.h"
#include "T2TUtility.h"
...
@@ -39,11 +40,14 @@ AttEncoder::~AttEncoder()
...
@@ -39,11 +40,14 @@ AttEncoder::~AttEncoder()
initialize the model
initialize the model
>> argc - number of arguments
>> argc - number of arguments
>> argv - list pf pointers to the arguments
>> argv - list pf pointers to the arguments
>>
d
evID - device id
>>
myD
evID - device id
>> mem - the memory pool
>> m
yM
em - the memory pool
*/
*/
void
AttEncoder
::
InitModel
(
int
argc
,
const
char
**
argv
,
int
devID
,
XMem
*
m
em
)
void
AttEncoder
::
InitModel
(
int
argc
,
const
char
**
argv
,
int
myDevID
,
XMem
*
myM
em
)
{
{
devID
=
myDevID
;
mem
=
myMem
;
LoadParamInt
(
argc
,
argv
,
"nstack"
,
&
nlayer
,
6
);
LoadParamInt
(
argc
,
argv
,
"nstack"
,
&
nlayer
,
6
);
LoadParamInt
(
argc
,
argv
,
"hsize"
,
&
hSize
,
512
);
LoadParamInt
(
argc
,
argv
,
"hsize"
,
&
hSize
,
512
);
LoadParamInt
(
argc
,
argv
,
"esize"
,
&
eSize
,
512
);
LoadParamInt
(
argc
,
argv
,
"esize"
,
&
eSize
,
512
);
...
...
source/sample/transformer/T2TEncoder.h
查看文件 @
005739bc
...
@@ -98,7 +98,7 @@ public:
...
@@ -98,7 +98,7 @@ public:
~
AttEncoder
();
~
AttEncoder
();
/* initialize the model */
/* initialize the model */
void
InitModel
(
int
argc
,
const
char
**
argv
,
int
devID
=
-
1
,
XMem
*
m
em
=
NULL
);
void
InitModel
(
int
argc
,
const
char
**
argv
,
int
myDevID
=
-
1
,
XMem
*
myM
em
=
NULL
);
/* make the encoding network */
/* make the encoding network */
XTensor
*
Make
(
XTensor
*
input
);
XTensor
*
Make
(
XTensor
*
input
);
...
...
source/sample/transformer/T2TFNN.cpp
查看文件 @
005739bc
...
@@ -42,11 +42,14 @@ T2TFNN::~T2TFNN()
...
@@ -42,11 +42,14 @@ T2TFNN::~T2TFNN()
initialize the model
initialize the model
>> argc - number of arguments
>> argc - number of arguments
>> argv - list pf pointers to the arguments
>> argv - list pf pointers to the arguments
>>
d
evID - device id
>>
myD
evID - device id
>> mem - the memory pool
>> m
yM
em - the memory pool
*/
*/
void
T2TFNN
::
InitModel
(
int
argc
,
const
char
**
argv
,
int
devID
,
XMem
*
m
em
)
void
T2TFNN
::
InitModel
(
int
argc
,
const
char
**
argv
,
int
myDevID
,
XMem
*
myM
em
)
{
{
devID
=
myDevID
;
mem
=
myMem
;
float
minmax
=
0
;
float
minmax
=
0
;
LoadParamInt
(
argc
,
argv
,
"d"
,
&
inSize
,
512
);
LoadParamInt
(
argc
,
argv
,
"d"
,
&
inSize
,
512
);
...
...
source/sample/transformer/T2TFNN.h
查看文件 @
005739bc
...
@@ -69,7 +69,7 @@ public:
...
@@ -69,7 +69,7 @@ public:
~
T2TFNN
();
~
T2TFNN
();
/* initialize the model */
/* initialize the model */
void
InitModel
(
int
argc
,
const
char
**
argv
,
int
devID
=
-
1
,
XMem
*
m
em
=
NULL
);
void
InitModel
(
int
argc
,
const
char
**
argv
,
int
myDevID
=
-
1
,
XMem
*
myM
em
=
NULL
);
};
};
...
...
source/sample/transformer/T2TLayerNormal.cpp
查看文件 @
005739bc
/* NiuTrans.Tensor - an open-source tensor library
* Copyright (C) 2018, Natural Language Processing Lab, Northestern University.
* All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
/*
* $Created by: XIAO Tong (xiaotong@mail.neu.edu.cn) 2018-07-31
*/
#include "T2TLayerNormal.h"
namespace
transformer
{
/* constructor */
T2TLN
::
T2TLN
()
{
devID
=
-
1
;
mem
=
NULL
;
}
/* de-constructor */
T2TLN
::~
T2TLN
()
{
}
/*
initialize the model
>> argc - number of arguments
>> argv - list pf pointers to the arguments
>> myDevID - device id
>> myMem - the memory pool
*/
void
T2TLN
::
InitModel
(
int
argc
,
const
char
**
argv
,
int
myDevID
,
XMem
*
myMem
)
{
devID
=
myDevID
;
mem
=
myMem
;
}
/* make the network */
XTensor
*
T2TLN
::
Make
(
XTensor
*
input
)
{
return
NULL
;
}
}
source/sample/transformer/T2TLayerNormal.h
查看文件 @
005739bc
...
@@ -22,12 +22,34 @@
...
@@ -22,12 +22,34 @@
#ifndef __T2TFNN_H__
#ifndef __T2TFNN_H__
#define __T2TFNN_H__
#define __T2TFNN_H__
#include "../../network/XNet.h"
using
namespace
nts
;
namespace
transformer
namespace
transformer
{
{
class
T2TLN
class
T2TLN
{
{
public
:
/* device id */
int
devID
;
/* memory pool */
XMem
*
mem
;
public
:
/* constructor */
T2TLN
();
/* de-constructor */
~
T2TLN
();
/* initialize the model */
void
InitModel
(
int
argc
,
const
char
**
argv
,
int
myDevID
=
-
1
,
XMem
*
myMem
=
NULL
);
/* make the network */
XTensor
*
Make
(
XTensor
*
input
);
};
};
}
}
...
...
编写
预览
Markdown
格式
0%
重试
或
添加新文件
添加附件
取消
您添加了
0
人
到此讨论。请谨慎行事。
请先完成此评论的编辑!
取消
请
注册
或者
登录
后发表评论