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Emmay
NiuTrans.Tensor
Commits
a7223650
Commit
a7223650
authored
Mar 29, 2019
by
xiaotong
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coding
parent
db8e0968
隐藏空白字符变更
内嵌
并排
正在显示
2 个修改的文件
包含
73 行增加
和
0 行删除
+73
-0
source/sample/transformer/T2TSearch.cpp
+60
-0
source/sample/transformer/T2TSearch.h
+13
-0
没有找到文件。
source/sample/transformer/T2TSearch.cpp
查看文件 @
a7223650
...
@@ -25,4 +25,63 @@ using namespace nts;
...
@@ -25,4 +25,63 @@ using namespace nts;
namespace
transformer
namespace
transformer
{
{
/*
search for the most promising states
>> model - the transformer model
>> input - input of the model
>> output - output that represents the sequences as rows
*/
void
T2TSearch
::
Search
(
T2TModel
*
model
,
XTensor
*
input
,
XTensor
*
output
)
{
XTensor
maskNULL
;
XTensor
encoding
;
/* make the encoding network */
encoding
=
model
->
MakeEncoder
(
*
input
,
maskNULL
,
false
);
encoding
.
SetName
(
ENCODING_NAME
);
T2TPredictor
predictor
;
T2TStateBundle
state1
,
state2
;
T2TStateBundle
*
cur
=
&
state1
;
T2TStateBundle
*
next
=
&
state2
;
/* initialize the predictor */
predictor
.
Init
(
model
,
&
encoding
,
cur
);
/* generate the sequence from left-to-right */
for
(
int
i
=
0
;
i
<
maxLength
;
i
++
){
/* read the current state */
predictor
.
Read
(
model
,
cur
);
/* predict the next state */
predictor
.
Predict
(
next
);
/* pruning */
Prune
(
next
);
T2TStateBundle
*
backup
=
cur
;
cur
=
next
;
next
=
backup
;
}
}
/*
beam pruning
>> beam - the beam that keeps a number of states
*/
void
T2TSearch
::
Prune
(
T2TStateBundle
*
beam
)
{
}
/*
save the output sequences in a tensor
>> beam -
*/
void
T2TSearch
::
DumpOutput
(
T2TStateBundle
*
beam
,
XTensor
*
output
)
{
}
}
}
\ No newline at end of file
source/sample/transformer/T2TSearch.h
查看文件 @
a7223650
...
@@ -23,6 +23,7 @@
...
@@ -23,6 +23,7 @@
#define __T2TSEARCH_H__
#define __T2TSEARCH_H__
#include "T2TModel.h"
#include "T2TModel.h"
#include "T2TPredictor.h"
namespace
transformer
namespace
transformer
{
{
...
@@ -34,12 +35,24 @@ namespace transformer
...
@@ -34,12 +35,24 @@ namespace transformer
class
T2TSearch
class
T2TSearch
{
{
public
:
public
:
/* max length of the generated sequence */
int
maxLength
;
public
:
/* constructor */
/* constructor */
T2TSearch
()
{};
T2TSearch
()
{};
/* de-constructor */
/* de-constructor */
~
T2TSearch
()
{};
~
T2TSearch
()
{};
/* search for the most promising states */
void
Search
(
T2TModel
*
model
,
XTensor
*
input
,
XTensor
*
output
);
/* beam pruning */
void
Prune
(
T2TStateBundle
*
beam
);
/* save the output sequences in a tensor */
void
DumpOutput
(
T2TStateBundle
*
beam
,
XTensor
*
output
);
};
};
}
}
...
...
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