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PaddleDetection
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c7b34788
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PaddleDetection
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c7b34788
编写于
9月 11, 2017
作者:
W
wanghaoshuang
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
Fix variable names and comments
上级
d960cbdc
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
14 addition
and
10 deletion
+14
-10
paddle/operators/pad_op.cc
paddle/operators/pad_op.cc
+14
-10
未找到文件。
paddle/operators/pad_op.cc
浏览文件 @
c7b34788
...
...
@@ -25,16 +25,16 @@ class PadOp : public framework::OperatorWithKernel {
protected:
void
InferShape
(
const
framework
::
InferShapeContext
&
ctx
)
const
override
{
auto
dim0
=
ctx
.
Input
<
Tensor
>
(
"X"
)
->
dims
();
auto
paddings
=
Get
Attr
<
std
::
vector
<
int
>>
(
"paddings"
);
PADDLE_ENFORCE_EQ
(
dim0
.
size
(),
(
int
)(
paddings
.
size
()
/
2
),
auto
x_dim
=
ctx
.
Input
<
Tensor
>
(
"X"
)
->
dims
();
auto
paddings
=
Attr
<
std
::
vector
<
int
>>
(
"paddings"
);
PADDLE_ENFORCE_EQ
(
x_dim
.
size
()
*
2
,
int
(
paddings
.
size
()
),
"Size of paddings should be equal to 2 * dimension size "
"of input tensor."
);
std
::
vector
<
int
>
dim1
(
dim0
.
size
());
for
(
int
i
=
0
;
i
<
dim0
.
size
();
++
i
)
{
dim1
[
i
]
=
dim0
[
i
]
+
paddings
[
i
*
2
]
+
paddings
[
i
*
2
+
1
];
std
::
vector
<
int
>
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
];
}
ctx
.
Output
<
Tensor
>
(
"Out"
)
->
Resize
(
paddle
::
framework
::
make_ddim
(
dim1
));
ctx
.
Output
<
Tensor
>
(
"Out"
)
->
Resize
(
framework
::
make_ddim
(
out_dims
));
}
};
...
...
@@ -42,8 +42,12 @@ class PadOpMaker : public framework::OpProtoAndCheckerMaker {
public:
PadOpMaker
(
framework
::
OpProto
*
proto
,
framework
::
OpAttrChecker
*
op_checker
)
:
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
"The input of pad op."
);
AddOutput
(
"Out"
,
"The output of pad op."
);
AddInput
(
"X"
,
"The input of pad op. "
"The input should be a k-D tensor(k > 0 and k < 7)"
);
AddOutput
(
"Out"
,
"The output of pad op."
"A tensor with the same shape as X."
);
AddComment
(
R"DOC(
Pad input into output, as specified by paddings and pad_value. The input should be a k-D tensor(k > 0 and k < 7). As an example:
...
...
@@ -75,7 +79,7 @@ Out = [[0, 1, 2, 0, 0]
" 2 * dimension size of input tensor."
);
AddAttr
<
float
>
(
"pad_value"
,
"(float) default to 0; "
"The value to
be padded into tensor.
"
)
"The value to
fill padded areas.
"
)
.
SetDefault
(
0.0
f
);
}
};
...
...
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