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PaddleDetection
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64b0b756
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PaddleDetection
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64b0b756
编写于
9月 18, 2017
作者:
H
hedaoyuan
浏览文件
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电子邮件补丁
差异文件
Follow comments fix conv2d_op.cc
上级
5a4138b6
变更
1
隐藏空白更改
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并排
Showing
1 changed file
with
10 addition
and
8 deletion
+10
-8
paddle/operators/conv2d_op.cc
paddle/operators/conv2d_op.cc
+10
-8
未找到文件。
paddle/operators/conv2d_op.cc
浏览文件 @
64b0b756
...
...
@@ -37,7 +37,7 @@ class Conv2DOp : public framework::OperatorWithKernel {
int
input_channels
=
in
->
dims
()[
1
];
int
output_channels
=
filter
->
dims
()[
0
];
PADDLE_ENFORCE_EQ
(
in
->
dims
().
size
(),
4
,
"Conv2DOp in
t
put should be 4-D."
);
PADDLE_ENFORCE_EQ
(
in
->
dims
().
size
(),
4
,
"Conv2DOp input should be 4-D."
);
PADDLE_ENFORCE_EQ
(
filter
->
dims
().
size
(),
4
,
"Conv2DOp filter should be 4-D."
);
PADDLE_ENFORCE_EQ
(
input_channels
,
filter
->
dims
()[
1
]
*
groups
,
...
...
@@ -76,13 +76,10 @@ class Conv2DOpMaker : public framework::OpProtoAndCheckerMaker {
AddOutput
(
"Output"
,
"The output tensor of convolution operator."
"The format of output tensor is also NCHW."
);
AddComment
(
R"DOC(
The convolution operation calculates the output based on the input, filter
and strides, paddings, groups parameters. The size of each dimension of the
parameters is checked in the infer-shape.
)DOC"
);
AddAttr
<
std
::
vector
<
int
>>
(
"strides"
,
"strides of convolution operator."
);
AddAttr
<
std
::
vector
<
int
>>
(
"paddings"
,
"paddings of convolution operator."
);
AddAttr
<
std
::
vector
<
int
>>
(
"strides"
,
"strides of convolution operator."
)
.
SetDefault
({
1
,
1
});
AddAttr
<
std
::
vector
<
int
>>
(
"paddings"
,
"paddings of convolution operator."
)
.
SetDefault
({
0
,
0
});
AddAttr
<
int
>
(
"groups"
,
"group size of convolution operator. "
...
...
@@ -91,6 +88,11 @@ parameters is checked in the infer-shape.
"first half of the input channels, and the second half only connected "
"to the second half."
)
.
SetDefault
(
1
);
AddComment
(
R"DOC(
The convolution operation calculates the output based on the input, filter
and strides, paddings, groups parameters. The size of each dimension of the
parameters is checked in the infer-shape.
)DOC"
);
}
};
...
...
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