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PaddleDetection
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PaddleDetection
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f9c2a5c3
编写于
11月 27, 2017
作者:
S
sweetsky0901
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
modify for code review zcd
上级
022b48e1
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
6 addition
and
6 deletion
+6
-6
paddle/operators/unpool_op.cc
paddle/operators/unpool_op.cc
+2
-2
paddle/operators/unpool_op.h
paddle/operators/unpool_op.h
+2
-2
python/paddle/v2/fluid/tests/test_unpool_op.py
python/paddle/v2/fluid/tests/test_unpool_op.py
+2
-2
未找到文件。
paddle/operators/unpool_op.cc
浏览文件 @
f9c2a5c3
...
...
@@ -46,7 +46,7 @@ class Unpool2dOpMaker : public framework::OpProtoAndCheckerMaker {
"(vector defalut:{0,0}), "
"paddings (height, width) of unpooling operator."
)
.
SetDefault
({
0
,
0
});
AddAttr
<
std
::
string
>
(
"unpoolingtype"
,
AddAttr
<
std
::
string
>
(
"unpooling
_
type"
,
"(string), unpooling type, can be
\"
max
\"
for max-unpooling "
)
.
InEnum
({
"max"
});
AddComment
(
R"DOC(
...
...
@@ -87,7 +87,7 @@ public:
auto
in_x_dims
=
ctx
->
GetInputDim
(
"X"
);
auto
in_y_dims
=
ctx
->
GetInputDim
(
"Y"
);
std
::
string
unpooling_type
=
ctx
->
Attrs
().
Get
<
std
::
string
>
(
"unpoolingtype"
);
ctx
->
Attrs
().
Get
<
std
::
string
>
(
"unpooling
_
type"
);
std
::
vector
<
int
>
ksize
=
ctx
->
Attrs
().
Get
<
std
::
vector
<
int
>>
(
"ksize"
);
std
::
vector
<
int
>
strides
=
ctx
->
Attrs
().
Get
<
std
::
vector
<
int
>>
(
"strides"
);
std
::
vector
<
int
>
paddings
=
ctx
->
Attrs
().
Get
<
std
::
vector
<
int
>>
(
"paddings"
);
...
...
paddle/operators/unpool_op.h
浏览文件 @
f9c2a5c3
...
...
@@ -28,7 +28,7 @@ class UnpoolKernel : public framework::OpKernel<T> {
const
framework
::
Tensor
*
in_x
=
context
.
Input
<
framework
::
Tensor
>
(
"X"
);
const
framework
::
Tensor
*
in_y
=
context
.
Input
<
framework
::
Tensor
>
(
"Y"
);
auto
*
out
=
context
.
Output
<
framework
::
Tensor
>
(
"Out"
);
std
::
string
unpooling_type
=
context
.
Attr
<
std
::
string
>
(
"unpoolingtype"
);
std
::
string
unpooling_type
=
context
.
Attr
<
std
::
string
>
(
"unpooling
_
type"
);
std
::
vector
<
int
>
ksize
=
context
.
Attr
<
std
::
vector
<
int
>>
(
"ksize"
);
std
::
vector
<
int
>
strides
=
context
.
Attr
<
std
::
vector
<
int
>>
(
"strides"
);
std
::
vector
<
int
>
paddings
=
context
.
Attr
<
std
::
vector
<
int
>>
(
"paddings"
);
...
...
@@ -53,7 +53,7 @@ class UnpoolGradKernel : public framework::OpKernel<T> {
context
.
Input
<
framework
::
Tensor
>
(
framework
::
GradVarName
(
"Out"
));
framework
::
Tensor
*
in_x_grad
=
context
.
Output
<
framework
::
Tensor
>
(
framework
::
GradVarName
(
"X"
));
std
::
string
unpooling_type
=
context
.
Attr
<
std
::
string
>
(
"unpoolingtype"
);
std
::
string
unpooling_type
=
context
.
Attr
<
std
::
string
>
(
"unpooling
_
type"
);
std
::
vector
<
int
>
ksize
=
context
.
Attr
<
std
::
vector
<
int
>>
(
"ksize"
);
std
::
vector
<
int
>
strides
=
context
.
Attr
<
std
::
vector
<
int
>>
(
"strides"
);
std
::
vector
<
int
>
paddings
=
context
.
Attr
<
std
::
vector
<
int
>>
(
"paddings"
);
...
...
python/paddle/v2/fluid/tests/test_unpool_op.py
浏览文件 @
f9c2a5c3
...
...
@@ -58,7 +58,7 @@ class TestUnpoolOp(OpTest):
'strides'
:
self
.
strides
,
'paddings'
:
self
.
paddings
,
'ksize'
:
self
.
ksize
,
'unpooling
type'
:
self
.
unpooling
type
,
'unpooling
_type'
:
self
.
unpooling_
type
,
}
self
.
outputs
=
{
'Out'
:
output
.
astype
(
'float32'
)}
...
...
@@ -70,7 +70,7 @@ class TestUnpoolOp(OpTest):
def
init_test_case
(
self
):
self
.
Unpool2d_forward_naive
=
unpool2dmax_forward_naive
self
.
unpoolingtype
=
"max"
self
.
unpooling
_
type
=
"max"
self
.
shape
=
[
6
,
4
,
5
,
5
]
self
.
ksize
=
[
3
,
3
]
self
.
strides
=
[
2
,
2
]
...
...
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