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PaddleDetection
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2b61db07
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PaddleDetection
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2b61db07
编写于
4月 17, 2019
作者:
T
tangwei12
提交者:
GitHub
4月 17, 2019
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电子邮件补丁
差异文件
fix sampling id op bug (#16909)
* fix sampling id op bug, test=develop
上级
5b1565a7
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
26 addition
and
4 deletion
+26
-4
paddle/fluid/operators/sampling_id_op.cc
paddle/fluid/operators/sampling_id_op.cc
+4
-4
python/paddle/fluid/tests/unittests/test_sampling_id_op.py
python/paddle/fluid/tests/unittests/test_sampling_id_op.py
+22
-0
未找到文件。
paddle/fluid/operators/sampling_id_op.cc
浏览文件 @
2b61db07
...
...
@@ -28,15 +28,15 @@ class SamplingIdOp : public framework::OperatorWithKernel {
"Input(X) of SamplingIdOp should not be null."
);
PADDLE_ENFORCE
(
ctx
->
HasOutput
(
"Out"
),
"Output(Out) of SamplingIdOp should not be null."
);
PADDLE_ENFORCE
(
ctx
->
Attrs
().
Get
<
float
>
(
"min"
)
<
ctx
->
Attrs
().
Get
<
float
>
(
"max"
),
"min must less then max"
);
PADDLE_ENFORCE_LT
(
ctx
->
Attrs
().
Get
<
float
>
(
"min"
),
ctx
->
Attrs
().
Get
<
float
>
(
"max"
),
"min must less then max"
);
auto
input_dims
=
ctx
->
GetInputDim
(
"X"
);
PADDLE_ENFORCE
(
input_dims
.
size
()
==
2
,
"Input(X, Filter) should be 2-D tensor."
);
framework
::
DDim
dims
=
input_dims
;
auto
dim0
=
input_dims
[
0
];
framework
::
DDim
dims
=
framework
::
make_ddim
({
dim0
});
ctx
->
SetOutputDim
(
"Out"
,
dims
);
ctx
->
ShareLoD
(
"X"
,
"Out"
);
}
...
...
python/paddle/fluid/tests/unittests/test_sampling_id_op.py
浏览文件 @
2b61db07
...
...
@@ -17,6 +17,7 @@ import numpy as np
from
op_test
import
OpTest
import
paddle.fluid.core
as
core
import
paddle.fluid
as
fluid
from
paddle.fluid.op
import
Operator
...
...
@@ -57,5 +58,26 @@ class TestSamplingIdOp(OpTest):
pass
class
TestSamplingIdShape
(
unittest
.
TestCase
):
def
test_shape
(
self
):
x
=
fluid
.
layers
.
data
(
name
=
'x'
,
shape
=
[
3
],
dtype
=
'float32'
)
output
=
fluid
.
layers
.
sampling_id
(
x
)
place
=
fluid
.
CPUPlace
()
exe
=
fluid
.
Executor
(
place
=
place
)
exe
.
run
(
fluid
.
default_startup_program
())
feed
=
{
'x'
:
np
.
array
(
[[
0.2
,
0.3
,
0.5
],
[
0.2
,
0.3
,
0.4
]],
dtype
=
'float32'
)
}
output_np
=
exe
.
run
(
feed
=
feed
,
fetch_list
=
[
output
])[
0
]
self
.
assertEqual
(
output
.
shape
[
0
],
-
1
)
self
.
assertEqual
(
len
(
output
.
shape
),
1
)
self
.
assertEqual
(
output_np
.
shape
[
0
],
2
)
self
.
assertEqual
(
len
(
output_np
.
shape
),
1
)
if
__name__
==
"__main__"
:
unittest
.
main
()
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