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PaddleDetection
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2120f075
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PaddleDetection
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2120f075
编写于
4月 15, 2019
作者:
S
SunGaofeng
浏览文件
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浏览文件
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电子邮件补丁
差异文件
modify infer shape in pad_op.cc, pad_constant_like_op.cc. No need in psroi_pool_op.cc, crop_op.cc
上级
eb02eb94
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
20 addition
and
10 deletion
+20
-10
paddle/fluid/operators/pad_constant_like_op.cc
paddle/fluid/operators/pad_constant_like_op.cc
+12
-2
paddle/fluid/operators/pad_op.cc
paddle/fluid/operators/pad_op.cc
+8
-8
未找到文件。
paddle/fluid/operators/pad_constant_like_op.cc
浏览文件 @
2120f075
...
...
@@ -13,6 +13,7 @@ See the License for the specific language governing permissions and
limitations under the License. */
#include "paddle/fluid/operators/pad_constant_like_op.h"
#include <memory>
namespace
paddle
{
namespace
operators
{
...
...
@@ -38,8 +39,13 @@ class PadConstantLikeOp : public framework::OperatorWithKernel {
"The dimention of X and Y should be the same."
);
for
(
int
i
=
0
;
i
<
x_dim
.
size
();
++
i
)
{
PADDLE_ENFORCE_GE
(
x_dim
[
i
],
y_dim
[
i
]);
if
((
!
ctx
->
IsRuntime
())
&&
((
x_dim
[
i
]
==
-
1
)
||
(
y_dim
[
i
]
==
-
1
)))
{
continue
;
}
else
{
PADDLE_ENFORCE_GE
(
x_dim
[
i
],
y_dim
[
i
]);
}
}
ctx
->
SetOutputDim
(
"Out"
,
x_dim
);
ctx
->
ShareLoD
(
"X"
,
/*->*/
"Out"
);
}
...
...
@@ -162,7 +168,11 @@ class PadConstantLikeOpGrad : public framework::OperatorWithKernel {
ctx
->
ShareLoD
(
"Y"
,
/*->*/
y_grad_name
);
for
(
int
i
=
0
;
i
<
y_dim
.
size
();
++
i
)
{
PADDLE_ENFORCE_GE
(
dout_dim
[
i
],
y_dim
[
i
]);
if
((
!
ctx
->
IsRuntime
())
&&
((
dout_dim
[
i
]
==
-
1
)
||
(
y_dim
[
i
]
==
-
1
)))
{
continue
;
}
else
{
PADDLE_ENFORCE_GE
(
dout_dim
[
i
],
y_dim
[
i
]);
}
}
}
}
...
...
paddle/fluid/operators/pad_op.cc
浏览文件 @
2120f075
...
...
@@ -36,7 +36,11 @@ class PadOp : public framework::OperatorWithKernel {
"of input tensor."
);
std
::
vector
<
int64_t
>
out_dims
(
x_dim
.
size
());
for
(
int
i
=
0
;
i
<
x_dim
.
size
();
++
i
)
{
out_dims
[
i
]
=
x_dim
[
i
]
+
paddings
[
i
*
2
]
+
paddings
[
i
*
2
+
1
];
if
((
!
ctx
->
IsRuntime
())
&&
(
x_dim
[
i
]
==
-
1
))
{
out_dims
[
i
]
=
-
1
;
}
else
{
out_dims
[
i
]
=
x_dim
[
i
]
+
paddings
[
i
*
2
]
+
paddings
[
i
*
2
+
1
];
}
}
ctx
->
SetOutputDim
(
"Out"
,
framework
::
make_ddim
(
out_dims
));
if
(
out_dims
[
0
]
==
x_dim
[
0
])
{
...
...
@@ -100,18 +104,14 @@ class PadOpGrad : public framework::OperatorWithKernel {
using
framework
::
OperatorWithKernel
::
OperatorWithKernel
;
void
InferShape
(
framework
::
InferShapeContext
*
ctx
)
const
override
{
auto
dout_dims
=
ctx
->
GetInputDim
(
framework
::
GradVarName
(
"Out"
));
auto
&
paddings
=
ctx
->
Attrs
().
Get
<
std
::
vector
<
int
>>
(
"paddings"
);
for
(
int
i
=
0
;
i
<
dout_dims
.
size
();
++
i
)
{
dout_dims
[
i
]
-=
(
paddings
[
i
*
2
]
+
paddings
[
i
*
2
+
1
]);
}
auto
x_grad_name
=
framework
::
GradVarName
(
"X"
);
if
(
ctx
->
HasOutput
(
x_grad_name
))
{
auto
dout_dims
=
ctx
->
GetInputDim
(
framework
::
GradVarName
(
"Out"
));
auto
&
paddings
=
ctx
->
Attrs
().
Get
<
std
::
vector
<
int
>>
(
"paddings"
);
for
(
int
i
=
0
;
i
<
dout_dims
.
size
();
++
i
)
{
dout_dims
[
i
]
-=
(
paddings
[
i
*
2
]
+
paddings
[
i
*
2
+
1
]);
if
(
ctx
->
IsRuntime
()
||
(
dout_dims
[
i
]
!=
-
1
))
{
dout_dims
[
i
]
-=
(
paddings
[
i
*
2
]
+
paddings
[
i
*
2
+
1
]);
}
}
ctx
->
SetOutputDim
(
x_grad_name
,
dout_dims
);
}
...
...
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