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ad0dc8fd
编写于
9月 05, 2017
作者:
Q
qingqing01
提交者:
GitHub
9月 05, 2017
浏览文件
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差异文件
Merge pull request #3897 from Canpio/fix_warnings_in_lookup_op
Fix compile warnings in lookup_op
上级
b64aac54
fd0e1e89
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
7 addition
and
7 deletion
+7
-7
paddle/operators/lookup_table_op.h
paddle/operators/lookup_table_op.h
+7
-7
未找到文件。
paddle/operators/lookup_table_op.h
浏览文件 @
ad0dc8fd
...
...
@@ -30,12 +30,12 @@ class LookupTableKernel : public framework::OpKernel {
auto
ids_t
=
context
.
Input
<
Tensor
>
(
"Ids"
);
// int tensor
auto
output_t
=
context
.
Output
<
Tensor
>
(
"Out"
);
// float tensor
size_
t
N
=
table_t
->
dims
()[
0
];
size_
t
D
=
table_t
->
dims
()[
1
];
in
t
N
=
table_t
->
dims
()[
0
];
in
t
D
=
table_t
->
dims
()[
1
];
auto
ids
=
ids_t
->
data
<
int32_t
>
();
auto
table
=
table_t
->
data
<
T
>
();
auto
output
=
output_t
->
mutable_data
<
T
>
(
context
.
GetPlace
());
for
(
size_t
i
=
0
;
i
<
product
(
ids_t
->
dims
());
++
i
)
{
for
(
s
s
ize_t
i
=
0
;
i
<
product
(
ids_t
->
dims
());
++
i
)
{
PADDLE_ENFORCE_LT
(
ids
[
i
],
N
);
PADDLE_ENFORCE_GE
(
ids
[
i
],
0
);
memcpy
(
output
+
i
*
D
,
table
+
ids
[
i
]
*
D
,
D
*
sizeof
(
T
));
...
...
@@ -51,8 +51,8 @@ class LookupTableGradKernel : public framework::OpKernel {
auto
d_output_t
=
context
.
Input
<
Tensor
>
(
framework
::
GradVarName
(
"Out"
));
auto
d_table_t
=
context
.
Output
<
Tensor
>
(
framework
::
GradVarName
(
"W"
));
size_
t
N
=
d_table_t
->
dims
()[
0
];
size_
t
D
=
d_table_t
->
dims
()[
1
];
in
t
N
=
d_table_t
->
dims
()[
0
];
in
t
D
=
d_table_t
->
dims
()[
1
];
auto
ids
=
ids_t
->
data
<
int32_t
>
();
const
T
*
d_output
=
d_output_t
->
data
<
T
>
();
T
*
d_table
=
d_table_t
->
mutable_data
<
T
>
(
context
.
GetPlace
());
...
...
@@ -61,10 +61,10 @@ class LookupTableGradKernel : public framework::OpKernel {
t
.
device
(
context
.
GetEigenDevice
<
platform
::
CPUPlace
>
())
=
t
.
constant
(
static_cast
<
T
>
(
0
));
for
(
size_t
i
=
0
;
i
<
product
(
ids_t
->
dims
());
++
i
)
{
for
(
s
s
ize_t
i
=
0
;
i
<
product
(
ids_t
->
dims
());
++
i
)
{
PADDLE_ENFORCE_LT
(
ids
[
i
],
N
);
PADDLE_ENFORCE_GE
(
ids
[
i
],
0
);
for
(
size_
t
j
=
0
;
j
<
D
;
++
j
)
{
for
(
in
t
j
=
0
;
j
<
D
;
++
j
)
{
d_table
[
ids
[
i
]
*
D
+
j
]
+=
d_output
[
i
*
D
+
j
];
}
}
...
...
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