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体验新版 GitCode,发现更多精彩内容 >>
提交
f2522e91
编写于
1月 14, 2020
作者:
Z
Zhen Wang
提交者:
Zeng Jinle
1月 13, 2020
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电子邮件补丁
差异文件
fix the type error caused by setting bool attr in OpDesc. test=develop (#22257)
上级
0ba1d140
变更
2
显示空白变更内容
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并排
Showing
2 changed file
with
47 addition
and
0 deletion
+47
-0
paddle/fluid/framework/op_desc.cc
paddle/fluid/framework/op_desc.cc
+8
-0
python/paddle/fluid/tests/unittests/test_set_bool_attr.py
python/paddle/fluid/tests/unittests/test_set_bool_attr.py
+39
-0
未找到文件。
paddle/fluid/framework/op_desc.cc
浏览文件 @
f2522e91
...
...
@@ -469,6 +469,14 @@ void OpDesc::SetAttr(const std::string &name, const Attribute &v) {
return
;
}
// In order to set bool attr properly
if
(
attr_type
==
proto
::
AttrType
::
INT
&&
HasProtoAttr
(
name
)
&&
GetProtoAttr
(
name
).
type
()
==
proto
::
AttrType
::
BOOLEAN
)
{
this
->
attrs_
[
name
]
=
static_cast
<
bool
>
(
boost
::
get
<
int
>
(
v
));
need_update_
=
true
;
return
;
}
this
->
attrs_
[
name
]
=
v
;
need_update_
=
true
;
}
...
...
python/paddle/fluid/tests/unittests/test_set_bool_attr.py
0 → 100644
浏览文件 @
f2522e91
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import
paddle.fluid
as
fluid
import
unittest
class
TestAttrSet
(
unittest
.
TestCase
):
def
test_set_bool_attr
(
self
):
x
=
fluid
.
layers
.
data
(
name
=
'x'
,
shape
=
[
3
,
7
,
3
,
7
],
dtype
=
'float32'
)
param_attr
=
fluid
.
ParamAttr
(
name
=
'batch_norm_w'
,
initializer
=
fluid
.
initializer
.
Constant
(
value
=
1.0
))
bias_attr
=
fluid
.
ParamAttr
(
name
=
'batch_norm_b'
,
initializer
=
fluid
.
initializer
.
Constant
(
value
=
0.0
))
bn
=
fluid
.
layers
.
batch_norm
(
input
=
x
,
param_attr
=
param_attr
,
bias_attr
=
bias_attr
)
block
=
fluid
.
default_main_program
().
desc
.
block
(
0
)
op
=
block
.
op
(
0
)
before_type
=
op
.
attr_type
(
'is_test'
)
op
.
_set_attr
(
'is_test'
,
True
)
after_type
=
op
.
attr_type
(
'is_test'
)
self
.
assertEqual
(
before_type
,
after_type
)
if
__name__
==
'__main__'
:
unittest
.
main
()
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