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92baa885
编写于
1月 17, 2018
作者:
W
wanghaoshuang
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
Fix code style
上级
e82f1008
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
4 addition
and
5 deletion
+4
-5
paddle/operators/block_expand_op.cc
paddle/operators/block_expand_op.cc
+0
-2
paddle/operators/block_expand_op.h
paddle/operators/block_expand_op.h
+4
-3
未找到文件。
paddle/operators/block_expand_op.cc
浏览文件 @
92baa885
...
@@ -23,7 +23,6 @@ class BlockExpandOp : public framework::OperatorWithKernel {
...
@@ -23,7 +23,6 @@ class BlockExpandOp : public framework::OperatorWithKernel {
protected:
protected:
void
InferShape
(
framework
::
InferShapeContext
*
ctx
)
const
override
{
void
InferShape
(
framework
::
InferShapeContext
*
ctx
)
const
override
{
using
namespace
framework
;
PADDLE_ENFORCE
(
ctx
->
HasInput
(
"X"
),
PADDLE_ENFORCE
(
ctx
->
HasInput
(
"X"
),
"Input of BlockExpandOp should not be null."
);
"Input of BlockExpandOp should not be null."
);
PADDLE_ENFORCE
(
ctx
->
HasOutput
(
"Out"
),
PADDLE_ENFORCE
(
ctx
->
HasOutput
(
"Out"
),
...
@@ -142,7 +141,6 @@ class BlockExpandGradOp : public framework::OperatorWithKernel {
...
@@ -142,7 +141,6 @@ class BlockExpandGradOp : public framework::OperatorWithKernel {
protected:
protected:
void
InferShape
(
framework
::
InferShapeContext
*
ctx
)
const
override
{
void
InferShape
(
framework
::
InferShapeContext
*
ctx
)
const
override
{
using
namespace
framework
;
PADDLE_ENFORCE
(
ctx
->
HasInput
(
"X"
),
"Input(X) should not be null"
);
PADDLE_ENFORCE
(
ctx
->
HasInput
(
"X"
),
"Input(X) should not be null"
);
PADDLE_ENFORCE
(
ctx
->
HasInput
(
framework
::
GradVarName
(
"Out"
)),
PADDLE_ENFORCE
(
ctx
->
HasInput
(
framework
::
GradVarName
(
"Out"
)),
"Input(Out@GRAD) shouldn't be null."
);
"Input(Out@GRAD) shouldn't be null."
);
...
...
paddle/operators/block_expand_op.h
浏览文件 @
92baa885
...
@@ -23,6 +23,9 @@
...
@@ -23,6 +23,9 @@
namespace
paddle
{
namespace
paddle
{
namespace
operators
{
namespace
operators
{
using
Tensor
=
framework
::
Tensor
;
using
LoDTensor
=
framework
::
LoDTensor
;
inline
int
get_output_size
(
int
img_size
,
int
block_size
,
int
stride
,
inline
int
get_output_size
(
int
img_size
,
int
block_size
,
int
stride
,
int
padding
)
{
int
padding
)
{
return
(
1
+
(
img_size
+
2
*
padding
-
block_size
+
stride
-
1
)
/
stride
);
return
(
1
+
(
img_size
+
2
*
padding
-
block_size
+
stride
-
1
)
/
stride
);
...
@@ -32,7 +35,6 @@ template <typename Place, typename T>
...
@@ -32,7 +35,6 @@ template <typename Place, typename T>
class
BlockExpandKernel
:
public
framework
::
OpKernel
<
T
>
{
class
BlockExpandKernel
:
public
framework
::
OpKernel
<
T
>
{
public:
public:
void
Compute
(
const
framework
::
ExecutionContext
&
ctx
)
const
override
{
void
Compute
(
const
framework
::
ExecutionContext
&
ctx
)
const
override
{
using
namespace
framework
;
const
Tensor
*
in
=
ctx
.
Input
<
Tensor
>
(
"X"
);
const
Tensor
*
in
=
ctx
.
Input
<
Tensor
>
(
"X"
);
LoDTensor
*
out
=
ctx
.
Output
<
LoDTensor
>
(
"Out"
);
LoDTensor
*
out
=
ctx
.
Output
<
LoDTensor
>
(
"Out"
);
out
->
mutable_data
<
T
>
(
ctx
.
GetPlace
());
out
->
mutable_data
<
T
>
(
ctx
.
GetPlace
());
...
@@ -89,11 +91,10 @@ template <typename Place, typename T>
...
@@ -89,11 +91,10 @@ template <typename Place, typename T>
class
BlockExpandGradKernel
:
public
framework
::
OpKernel
<
T
>
{
class
BlockExpandGradKernel
:
public
framework
::
OpKernel
<
T
>
{
public:
public:
void
Compute
(
const
framework
::
ExecutionContext
&
ctx
)
const
override
{
void
Compute
(
const
framework
::
ExecutionContext
&
ctx
)
const
override
{
using
namespace
framework
;
auto
*
in
=
ctx
.
Input
<
Tensor
>
(
"X"
);
auto
*
in
=
ctx
.
Input
<
Tensor
>
(
"X"
);
Tensor
*
d_out
=
Tensor
*
d_out
=
const_cast
<
Tensor
*>
(
ctx
.
Input
<
Tensor
>
(
framework
::
GradVarName
(
"Out"
)));
const_cast
<
Tensor
*>
(
ctx
.
Input
<
Tensor
>
(
framework
::
GradVarName
(
"Out"
)));
auto
*
d_x
=
ctx
.
Output
<
Tensor
>
(
GradVarName
(
"X"
));
auto
*
d_x
=
ctx
.
Output
<
Tensor
>
(
framework
::
GradVarName
(
"X"
));
d_x
->
mutable_data
<
T
>
(
ctx
.
GetPlace
());
d_x
->
mutable_data
<
T
>
(
ctx
.
GetPlace
());
auto
x_v
=
framework
::
EigenVector
<
T
>::
Flatten
(
*
d_x
);
auto
x_v
=
framework
::
EigenVector
<
T
>::
Flatten
(
*
d_x
);
...
...
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