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379e3feb
编写于
12月 02, 2019
作者:
W
wangguanzhong
提交者:
GitHub
12月 02, 2019
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电子邮件补丁
差异文件
fix shape check in density_prior_box, test=develop (#21414)
* fix shape check in density_prior_box, test=develop
上级
6aa13f46
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1
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Showing
1 changed file
with
21 addition
and
6 deletion
+21
-6
paddle/fluid/operators/detection/density_prior_box_op.cc
paddle/fluid/operators/detection/density_prior_box_op.cc
+21
-6
未找到文件。
paddle/fluid/operators/detection/density_prior_box_op.cc
浏览文件 @
379e3feb
...
...
@@ -29,11 +29,23 @@ class DensityPriorBoxOp : public framework::OperatorWithKernel {
PADDLE_ENFORCE
(
image_dims
.
size
()
==
4
,
"The layout of image is NCHW."
);
PADDLE_ENFORCE
(
input_dims
.
size
()
==
4
,
"The layout of input is NCHW."
);
PADDLE_ENFORCE_LT
(
input_dims
[
2
],
image_dims
[
2
],
"The height of input must smaller than image."
);
PADDLE_ENFORCE_LT
(
input_dims
[
3
],
image_dims
[
3
],
"The width of input must smaller than image."
);
if
(
ctx
->
IsRuntime
())
{
PADDLE_ENFORCE_LT
(
input_dims
[
2
],
image_dims
[
2
],
platform
::
errors
::
InvalidArgument
(
"The input tensor Input's height"
"of DensityPriorBoxOp should be smaller than input tensor Image's"
"hight. But received Input's height = %d, Image's height = %d"
,
input_dims
[
2
],
image_dims
[
2
]));
PADDLE_ENFORCE_LT
(
input_dims
[
3
],
image_dims
[
3
],
platform
::
errors
::
InvalidArgument
(
"The input tensor Input's width"
"of DensityPriorBoxOp should be smaller than input tensor Image's"
"width. But received Input's width = %d, Image's width = %d"
,
input_dims
[
3
],
image_dims
[
3
]));
}
auto
variances
=
ctx
->
Attrs
().
Get
<
std
::
vector
<
float
>>
(
"variances"
);
auto
fixed_sizes
=
ctx
->
Attrs
().
Get
<
std
::
vector
<
float
>>
(
"fixed_sizes"
);
...
...
@@ -55,10 +67,13 @@ class DensityPriorBoxOp : public framework::OperatorWithKernel {
dim_vec
[
3
]
=
4
;
ctx
->
SetOutputDim
(
"Boxes"
,
framework
::
make_ddim
(
dim_vec
));
ctx
->
SetOutputDim
(
"Variances"
,
framework
::
make_ddim
(
dim_vec
));
}
else
{
}
else
if
(
ctx
->
IsRuntime
())
{
int64_t
dim0
=
input_dims
[
2
]
*
input_dims
[
3
]
*
num_priors
;
ctx
->
SetOutputDim
(
"Boxes"
,
{
dim0
,
4
});
ctx
->
SetOutputDim
(
"Variances"
,
{
dim0
,
4
});
}
else
{
ctx
->
SetOutputDim
(
"Boxes"
,
{
-
1
,
4
});
ctx
->
SetOutputDim
(
"Variances"
,
{
-
1
,
4
});
}
}
...
...
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