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12ee5014
编写于
8月 14, 2017
作者:
D
dongzhihong
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
"fix operator grad config"
上级
43ba24e0
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
28 addition
and
16 deletion
+28
-16
paddle/operators/rowwise_add_op.cc
paddle/operators/rowwise_add_op.cc
+17
-6
paddle/operators/rowwise_add_op.h
paddle/operators/rowwise_add_op.h
+11
-10
未找到文件。
paddle/operators/rowwise_add_op.cc
浏览文件 @
12ee5014
...
...
@@ -17,6 +17,8 @@
namespace
paddle
{
namespace
operators
{
using
framework
::
Tensor
;
class
RowwiseAddOp
:
public
framework
::
OperatorWithKernel
{
public:
using
framework
::
OperatorWithKernel
::
OperatorWithKernel
;
...
...
@@ -50,14 +52,23 @@ for i in xrange(X.shape[0]):
}
};
class
RowwiseAddGradOp
:
public
framework
::
OperatorWithKernel
{
public:
using
framework
::
OperatorWithKernel
::
OperatorWithKernel
;
protected:
void
InferShape
(
const
framework
::
InferShapeContext
&
ctx
)
const
override
{
PADDLE_ENFORCE
(
ctx
.
InputSize
()
==
4UL
,
"RowwiseAddGrad inputs is I, O, OG, size must be 4"
);
PADDLE_ENFORCE
(
ctx
.
OutputSize
()
==
2
,
"RowwiseAddGrad output is IG, size must be 2"
);
ctx
.
Output
<
Tensor
>
(
0
)
->
Resize
(
ctx
.
Input
<
Tensor
>
(
0
)
->
dims
());
ctx
.
Output
<
Tensor
>
(
1
)
->
Resize
(
ctx
.
Input
<
Tensor
>
(
1
)
->
dims
());
// PADDLE_ENFORCE(ctx.InputSize() == 4UL,
// "RowwiseAddGrad inputs is I, O, OG, size must be 4");
// PADDLE_ENFORCE(ctx.OutputSize() == 2,
// "RowwiseAddGrad output is IG, size must be 2");
PADDLE_ENFORCE_NOT_NULL
(
ctx
.
InputVar
(
"X"
),
"X should not be null"
);
PADDLE_ENFORCE_NOT_NULL
(
ctx
.
InputVar
(
"b"
),
"b should not be null"
);
PADDLE_ENFORCE_NOT_NULL
(
ctx
.
InputVar
(
framework
::
GradVarName
(
"Out"
)),
"Input(Out@GRAD) should not be null"
);
auto
dims0
=
ctx
.
Input
<
Tensor
>
(
"X"
)
->
dims
();
auto
dims1
=
ctx
.
Input
<
Tensor
>
(
"b"
)
->
dims
();
ctx
.
Output
<
Tensor
>
(
framework
::
GradVarName
(
"X"
))
->
Resize
(
dims0
);
ctx
.
Output
<
Tensor
>
(
framework
::
GradVarName
(
"b"
))
->
Resize
(
dims1
);
}
};
...
...
paddle/operators/rowwise_add_op.h
浏览文件 @
12ee5014
...
...
@@ -51,19 +51,20 @@ template <typename Place, typename T>
class
RowwiseAddGradKernel
:
public
framework
::
OpKernel
{
public:
void
Compute
(
const
framework
::
ExecutionContext
&
context
)
const
override
{
auto
*
XGrad
=
context
.
Output
<
Tensor
>
(
0
);
auto
*
bGrad
=
context
.
Output
<
Tensor
>
(
1
);
XGrad
->
mutable_data
<
T
>
(
context
.
GetPlace
());
bGrad
->
mutable_data
<
T
>
(
context
.
GetPlace
());
auto
*
dX
=
context
.
Output
<
Tensor
>
(
framework
::
GradVarName
(
"X"
));
auto
*
db
=
context
.
Output
<
Tensor
>
(
framework
::
GradVarName
(
"b"
));
auto
*
dOut
=
context
.
Output
<
Tensor
>
(
framework
::
GradVarName
(
"Out"
));
dX
->
mutable_data
<
T
>
(
context
.
GetPlace
());
db
->
mutable_data
<
T
>
(
context
.
GetPlace
());
// I, O, OG => [X, b], [Out], [OutGrad]
auto
OutGrad
=
EigenMatrix
<
T
>::
From
(
*
context
.
Input
<
Tensor
>
(
3
));
EigenMatrix
<
T
>::
From
(
*
XGrad
).
device
(
context
.
GetEigenDevice
<
Place
>
())
=
OutGrad
;
auto
OutGrad
=
EigenMatrix
<
T
>::
From
(
*
dOut
);
auto
place
=
context
.
GetEigenDevice
<
Place
>
();
EigenMatrix
<
T
>::
From
(
*
dX
).
device
(
place
)
=
OutGrad
;
// https://eigen.tuxfamily.org/dox/unsupported/TensorBase_8h_source.html
EigenVector
<
T
>::
Flatten
(
*
bGrad
).
device
(
context
.
GetEigenDevice
<
Place
>
())
=
OutGrad
.
cumsum
(
1
);
// colwise add
// colwise add
Eigen
::
array
<
int
,
1
>
dims
{{
1
}};
/* dimension to reduce */
EigenVector
<
T
>::
Flatten
(
*
db
).
device
(
place
)
=
OutGrad
.
sum
(
dims
);
}
};
}
// namespace operators
...
...
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