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体验新版 GitCode,发现更多精彩内容 >>
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e58a569c
编写于
12月 28, 2018
作者:
T
tensor-tang
浏览文件
操作
浏览文件
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电子邮件补丁
差异文件
use seqpool jitkernel
上级
3e01a404
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
22 addition
and
12 deletion
+22
-12
paddle/fluid/operators/math/CMakeLists.txt
paddle/fluid/operators/math/CMakeLists.txt
+1
-1
paddle/fluid/operators/math/sequence_pooling.cc
paddle/fluid/operators/math/sequence_pooling.cc
+21
-11
未找到文件。
paddle/fluid/operators/math/CMakeLists.txt
浏览文件 @
e58a569c
...
...
@@ -51,7 +51,7 @@ math_library(pooling)
math_library
(
selected_rows_functor DEPS selected_rows math_function blas
)
math_library
(
sequence2batch
)
math_library
(
sequence_padding
)
math_library
(
sequence_pooling DEPS math_function
)
math_library
(
sequence_pooling DEPS math_function
jit_kernel_helper
)
math_library
(
sequence_scale
)
math_library
(
softmax DEPS math_function
)
...
...
paddle/fluid/operators/math/sequence_pooling.cc
浏览文件 @
e58a569c
...
...
@@ -14,6 +14,7 @@ limitations under the License. */
#include <string>
#include "paddle/fluid/operators/jit/kernels.h"
#include "paddle/fluid/operators/math/blas.h"
#include "paddle/fluid/operators/math/math_function.h"
#include "paddle/fluid/operators/math/sequence_pooling.h"
...
...
@@ -239,15 +240,33 @@ class SequencePoolFunctor<platform::CPUDeviceContext, T> {
last_pool
(
context
,
input
,
output
);
return
;
}
if
(
pooltype
==
"FIRST"
)
{
math
::
FirstSeqPoolFunctor
<
T
>
first_pool
;
first_pool
(
context
,
input
,
output
);
return
;
}
auto
lod
=
input
.
lod
()[
0
];
if
(
pooltype
==
"SUM"
)
{
auto
place
=
context
.
GetPlace
();
PADDLE_ENFORCE
(
platform
::
is_cpu_place
(
place
));
const
T
*
src
=
input
.
data
<
T
>
();
T
*
dst
=
output
->
mutable_data
<
T
>
(
place
);
jit
::
seq_pool_attr_t
attr
;
attr
.
w
=
input
.
numel
()
/
input
.
dims
()[
0
];
attr
.
type
=
jit
::
SeqPoolType
::
sum
;
auto
seqpool
=
jit
::
Get
<
jit
::
kSeqPool
,
jit
::
SeqPoolTuples
<
T
>
,
platform
::
CPUPlace
>
(
attr
);
for
(
int
i
=
0
;
i
<
static_cast
<
int
>
(
lod
.
size
())
-
1
;
++
i
)
{
attr
.
h
=
static_cast
<
int
>
(
lod
[
i
+
1
]
-
lod
[
i
]);
seqpool
(
src
,
dst
,
&
attr
);
dst
+=
attr
.
w
;
src
+=
attr
.
h
*
attr
.
w
;
}
return
;
}
auto
&
place
=
*
context
.
eigen_device
();
auto
blas
=
math
::
GetBlas
<
platform
::
CPUDeviceContext
,
T
>
(
context
);
for
(
int
i
=
0
;
i
<
static_cast
<
int
>
(
lod
.
size
())
-
1
;
++
i
)
{
Tensor
in_t
=
input
.
Slice
(
static_cast
<
int
>
(
lod
[
i
]),
static_cast
<
int
>
(
lod
[
i
+
1
]));
...
...
@@ -258,15 +277,6 @@ class SequencePoolFunctor<platform::CPUDeviceContext, T> {
auto
out_e
=
EigenVector
<
T
>::
Flatten
(
out_t
);
if
(
pooltype
==
"AVERAGE"
)
{
out_e
.
device
(
place
)
=
in_e
.
mean
(
Eigen
::
array
<
int
,
1
>
({{
0
}}));
}
else
if
(
pooltype
==
"SUM"
)
{
if
(
h
>
0
)
{
const
T
*
in_data
=
in_t
.
data
<
T
>
();
T
*
out_data
=
out_t
.
mutable_data
<
T
>
(
context
.
GetPlace
());
blas
.
VCOPY
(
w
,
in_data
,
out_data
);
for
(
int64_t
r
=
1
;
r
!=
h
;
++
r
)
{
blas
.
AXPY
(
w
,
1.
,
in_data
+
r
*
w
,
out_data
);
}
}
}
else
if
(
pooltype
==
"SQRT"
)
{
out_e
.
device
(
place
)
=
in_e
.
sum
(
Eigen
::
array
<
int
,
1
>
({{
0
}}))
/
std
::
sqrt
(
static_cast
<
T
>
(
h
));
...
...
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