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体验新版 GitCode,发现更多精彩内容 >>
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0ce9bf77
编写于
11月 27, 2017
作者:
G
Guo Sheng
提交者:
GitHub
11月 27, 2017
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差异文件
Merge pull request #5931 from guoshengCS/fix-ROIPoolOP-warn
Refine roi_pool_op to avoid warning
上级
95cdbfec
19a37ecd
变更
1
隐藏空白更改
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并排
Showing
1 changed file
with
21 addition
and
27 deletion
+21
-27
paddle/operators/roi_pool_op.h
paddle/operators/roi_pool_op.h
+21
-27
未找到文件。
paddle/operators/roi_pool_op.h
浏览文件 @
0ce9bf77
...
...
@@ -133,53 +133,47 @@ class CPUROIPoolGradOpKernel : public framework::OpKernel<T> {
auto
*
in
=
ctx
.
Input
<
framework
::
Tensor
>
(
"X"
);
auto
*
rois
=
ctx
.
Input
<
framework
::
Tensor
>
(
"ROIs"
);
auto
*
argmax
=
ctx
.
Input
<
framework
::
Tensor
>
(
"Argmax"
);
auto
*
out_grad
=
ctx
.
Input
<
framework
::
Tensor
>
(
framework
::
GradVarName
(
"Out"
));
auto
*
x
_grad
=
ctx
.
Output
<
framework
::
Tensor
>
(
framework
::
GradVarName
(
"X"
));
auto
*
in
_grad
=
ctx
.
Output
<
framework
::
Tensor
>
(
framework
::
GradVarName
(
"X"
));
auto
pooled_height
=
ctx
.
Attr
<
int
>
(
"pooled_height"
);
auto
pooled_width
=
ctx
.
Attr
<
int
>
(
"pooled_width"
);
if
(
x_grad
)
{
int
channels
=
in
->
dims
()[
1
];
auto
in_stride
=
framework
::
stride
(
in
->
dims
());
auto
roi_stride
=
framework
::
stride
(
rois
->
dims
());
if
(
in_grad
)
{
const
int64_t
*
rois_data
=
rois
->
data
<
int64_t
>
();
int
rois_num
=
rois
->
dims
()[
0
]
;
T
*
x_grad_data
=
x
_grad
->
mutable_data
<
T
>
(
ctx
.
GetPlace
());
const
T
*
out_grad_data
=
out_grad
->
data
<
T
>
()
;
const
int64_t
*
argmax_data
=
argmax
->
data
<
int64_t
>
();
T
*
in_grad_data
=
in
_grad
->
mutable_data
<
T
>
(
ctx
.
GetPlace
());
math
::
SetConstant
<
Place
,
T
>
set_zero
;
set_zero
(
ctx
.
device_context
(),
x
_grad
,
static_cast
<
T
>
(
0
));
set_zero
(
ctx
.
device_context
(),
in
_grad
,
static_cast
<
T
>
(
0
));
size_t
roi_offset
=
roi_stride
[
0
];
size_t
batch_offset
=
in_stride
[
0
];
size_t
channel_offset
=
in_stride
[
1
];
auto
in_stride
=
framework
::
stride
(
in
->
dims
());
auto
argmax_stride
=
framework
::
stride
(
argmax
->
dims
());
auto
roi_stride
=
framework
::
stride
(
rois
->
dims
());
auto
out_stride
=
framework
::
stride
(
out_grad
->
dims
());
const
T
*
out_grad_data
=
out_grad
->
data
<
T
>
();
size_t
pool_channel_offset
=
pooled_height
*
pooled_width
;
const
int64_t
*
argmax_data
=
argmax
->
data
<
int64_t
>
();
int
rois_num
=
rois
->
dims
()[
0
];
int
channels
=
in
->
dims
()[
1
];
for
(
size_
t
n
=
0
;
n
<
rois_num
;
++
n
)
{
size_
t
roi_batch_idx
=
rois_data
[
0
];
T
*
batch_grad_data
=
x_grad_data
+
batch_offset
*
roi_batch_idx
;
for
(
in
t
n
=
0
;
n
<
rois_num
;
++
n
)
{
in
t
roi_batch_idx
=
rois_data
[
0
];
T
*
batch_grad_data
=
in_grad_data
+
roi_batch_idx
*
in_stride
[
0
]
;
for
(
int
c
=
0
;
c
<
channels
;
++
c
)
{
for
(
int
ph
=
0
;
ph
<
pooled_height
;
++
ph
)
{
for
(
int
pw
=
0
;
pw
<
pooled_width
;
++
pw
)
{
size_t
pool_index
=
ph
*
pooled_width
+
pw
;
int
pool_index
=
ph
*
pooled_width
+
pw
;
if
(
argmax_data
[
pool_index
]
>=
0
)
{
size_t
index
=
static_cast
<
size_t
>
(
argmax_data
[
pool_index
])
;
auto
index
=
argmax_data
[
pool_index
]
;
batch_grad_data
[
index
]
+=
out_grad_data
[
pool_index
];
}
}
}
batch_grad_data
+=
channel_offset
;
out_grad_data
+=
pool_channel_offset
;
argmax_data
+=
pool_channel_offset
;
batch_grad_data
+=
in_stride
[
1
]
;
out_grad_data
+=
out_stride
[
1
]
;
argmax_data
+=
argmax_stride
[
1
]
;
}
rois_data
+=
roi_
offset
;
rois_data
+=
roi_
stride
[
0
]
;
}
}
}
...
...
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