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77cf21e5
编写于
1月 18, 2018
作者:
W
wanghaoshuang
浏览文件
操作
浏览文件
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电子邮件补丁
差异文件
Change input data type to int64_t
上级
3388e52d
变更
3
显示空白变更内容
内联
并排
Showing
3 changed file
with
17 addition
and
17 deletion
+17
-17
paddle/operators/edit_distance_op.cc
paddle/operators/edit_distance_op.cc
+13
-13
paddle/operators/edit_distance_op.cu
paddle/operators/edit_distance_op.cu
+2
-2
paddle/operators/edit_distance_op.h
paddle/operators/edit_distance_op.h
+2
-2
未找到文件。
paddle/operators/edit_distance_op.cc
浏览文件 @
77cf21e5
...
...
@@ -49,10 +49,10 @@ class EditDistanceOpMaker : public framework::OpProtoAndCheckerMaker {
EditDistanceOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
:
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"Hyps"
,
"(2-D LoDTensor<int>, 2nd dim. equal to 1) "
"(2-D LoDTensor<int
64_t
>, 2nd dim. equal to 1) "
"The indices for hypothesis strings."
);
AddInput
(
"Refs"
,
"(2-D LoDTensor<int>, 2nd dim. equal to 1) "
"(2-D LoDTensor<int
64_t
>, 2nd dim. equal to 1) "
"The indices for reference strings."
);
AddAttr
<
bool
>
(
"normalized"
,
"(bool, default false) Indicated whether to normalize "
...
...
paddle/operators/edit_distance_op.cu
浏览文件 @
77cf21e5
...
...
@@ -113,8 +113,8 @@ class EditDistanceGPUKernel : public framework::OpKernel<T> {
dist_t
.
Resize
({
m
+
1
,
n
+
1
});
dist_t
.
mutable_data
<
T
>
(
ctx
.
GetPlace
());
auto
dist
=
dist_t
.
data
<
T
>
();
auto
x1
=
x1_t
->
data
<
int
>
()
+
hyp_lod
[
num
];
auto
x2
=
x2_t
->
data
<
int
>
()
+
ref_lod
[
num
];
auto
x1
=
x1_t
->
data
<
int
64_t
>
()
+
hyp_lod
[
num
];
auto
x2
=
x2_t
->
data
<
int
64_t
>
()
+
ref_lod
[
num
];
FillFirstColumn
<
T
><<<
1
+
m
/
PADDLE_CUDA_NUM_THREADS
,
PADDLE_CUDA_NUM_THREADS
,
0
,
stream
>>>
(
dist
,
m
,
n
);
...
...
paddle/operators/edit_distance_op.h
浏览文件 @
77cf21e5
...
...
@@ -60,8 +60,8 @@ class EditDistanceKernel : public framework::OpKernel<T> {
dist_t
.
Resize
({
m
+
1
,
n
+
1
});
dist_t
.
mutable_data
<
T
>
(
ctx
.
GetPlace
());
auto
dist
=
dist_t
.
data
<
T
>
();
auto
x1
=
x1_t
->
data
<
int
>
()
+
hyp_lod
[
num
];
auto
x2
=
x2_t
->
data
<
int
>
()
+
ref_lod
[
num
];
auto
x1
=
x1_t
->
data
<
int
64_t
>
()
+
hyp_lod
[
num
];
auto
x2
=
x2_t
->
data
<
int
64_t
>
()
+
ref_lod
[
num
];
for
(
int64_t
i
=
0
;
i
<
m
+
1
;
++
i
)
{
dist
[
i
*
(
n
+
1
)]
=
i
;
}
...
...
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