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体验新版 GitCode,发现更多精彩内容 >>
提交
2a36ad1a
编写于
8月 22, 2018
作者:
Y
Yu Yang
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
Handle LoD for concat & seq_softmax ops
上级
211d8186
变更
5
隐藏空白更改
内联
并排
Showing
5 changed file
with
21 addition
and
6 deletion
+21
-6
paddle/fluid/operators/concat_op.h
paddle/fluid/operators/concat_op.h
+14
-2
paddle/fluid/operators/math/concat.cc
paddle/fluid/operators/math/concat.cc
+1
-1
paddle/fluid/operators/math/concat.cu
paddle/fluid/operators/math/concat.cu
+1
-1
paddle/fluid/operators/math/concat.h
paddle/fluid/operators/math/concat.h
+2
-2
paddle/fluid/operators/sequence_softmax_op.h
paddle/fluid/operators/sequence_softmax_op.h
+3
-0
未找到文件。
paddle/fluid/operators/concat_op.h
浏览文件 @
2a36ad1a
...
...
@@ -62,9 +62,21 @@ class ConcatGradKernel : public framework::OpKernel<T> {
void
Compute
(
const
framework
::
ExecutionContext
&
ctx
)
const
{
auto
*
out_grad
=
ctx
.
Input
<
framework
::
Tensor
>
(
framework
::
GradVarName
(
"Out"
));
auto
ins
=
ctx
.
MultiInput
<
framework
::
Tensor
>
(
"X"
);
auto
ins
=
ctx
.
MultiInput
<
framework
::
LoD
Tensor
>
(
"X"
);
auto
out_var_names
=
ctx
.
Outputs
(
framework
::
GradVarName
(
"X"
));
auto
outs
=
ctx
.
MultiOutput
<
framework
::
Tensor
>
(
framework
::
GradVarName
(
"X"
));
auto
outs
=
ctx
.
MultiOutput
<
framework
::
LoDTensor
>
(
framework
::
GradVarName
(
"X"
));
{
auto
dx
=
outs
;
auto
x
=
ins
;
for
(
size_t
i
=
0
;
i
<
dx
.
size
();
++
i
)
{
if
(
dx
[
i
]
!=
nullptr
)
{
dx
[
i
]
->
set_lod
(
x
[
i
]
->
lod
());
}
}
}
int64_t
axis
=
static_cast
<
int64_t
>
(
ctx
.
Attr
<
int
>
(
"axis"
));
// get output tensor that the name is not kEmptyVarName
...
...
paddle/fluid/operators/math/concat.cc
浏览文件 @
2a36ad1a
...
...
@@ -71,7 +71,7 @@ class ConcatGradFunctor<platform::CPUDeviceContext, T> {
public:
void
operator
()(
const
platform
::
CPUDeviceContext
&
context
,
const
framework
::
Tensor
&
input
,
const
std
::
vector
<
const
framework
::
Tensor
*>&
ref_inputs
,
const
std
::
vector
<
const
framework
::
LoD
Tensor
*>&
ref_inputs
,
const
int
axis
,
std
::
vector
<
framework
::
Tensor
*>*
outputs
)
{
// TODO(zcd): Add input data validity checking
size_t
num
=
outputs
->
size
();
...
...
paddle/fluid/operators/math/concat.cu
浏览文件 @
2a36ad1a
...
...
@@ -189,7 +189,7 @@ class ConcatGradFunctor<platform::CUDADeviceContext, T> {
public:
void
operator
()(
const
platform
::
CUDADeviceContext
&
context
,
const
framework
::
Tensor
&
input
,
const
std
::
vector
<
const
framework
::
Tensor
*>&
ref_inputs
,
const
std
::
vector
<
const
framework
::
LoD
Tensor
*>&
ref_inputs
,
const
int
axis
,
std
::
vector
<
framework
::
Tensor
*>*
outputs
)
{
// TODO(zcd): Add input data validity checking
int
o_num
=
outputs
->
size
();
...
...
paddle/fluid/operators/math/concat.h
浏览文件 @
2a36ad1a
...
...
@@ -15,7 +15,7 @@ limitations under the License. */
#pragma once
#include <vector>
#include "paddle/fluid/framework/data_type.h"
#include "paddle/fluid/framework/tensor.h"
#include "paddle/fluid/framework/
lod_
tensor.h"
namespace
paddle
{
namespace
operators
{
...
...
@@ -57,7 +57,7 @@ template <typename DeviceContext, typename T>
class
ConcatGradFunctor
{
public:
void
operator
()(
const
DeviceContext
&
context
,
const
framework
::
Tensor
&
input
,
const
std
::
vector
<
const
framework
::
Tensor
*>&
ref_inputs
,
const
std
::
vector
<
const
framework
::
LoD
Tensor
*>&
ref_inputs
,
const
int
axis
,
std
::
vector
<
framework
::
Tensor
*>*
outputs
);
};
...
...
paddle/fluid/operators/sequence_softmax_op.h
浏览文件 @
2a36ad1a
...
...
@@ -66,6 +66,9 @@ class SequenceSoftmaxGradKernel : public framework::OpKernel<T> {
auto
*
out_grad
=
ctx
.
Input
<
LoDTensor
>
(
framework
::
GradVarName
(
"Out"
));
auto
*
x
=
ctx
.
Input
<
LoDTensor
>
(
"X"
);
auto
*
x_grad
=
ctx
.
Output
<
LoDTensor
>
(
framework
::
GradVarName
(
"X"
));
if
(
x_grad
)
{
x_grad
->
set_lod
(
x
->
lod
());
}
auto
lod
=
x
->
lod
();
const
size_t
level
=
lod
.
size
()
-
1
;
...
...
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