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PaddleDetection
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编写于
1月 19, 2018
作者:
F
fengjiayi
提交者:
GitHub
1月 19, 2018
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差异文件
Merge pull request #7665 from JiayiFeng/dev_update_auto-registry
make auto-registry layers supporting specified output
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c79d530a
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1 changed file
with
16 addition
and
11 deletion
+16
-11
python/paddle/v2/fluid/registry.py
python/paddle/v2/fluid/registry.py
+16
-11
未找到文件。
python/paddle/v2/fluid/registry.py
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b7b5de7f
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
#
#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
#
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.
#
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
re
import
cStringIO
import
warnings
...
...
@@ -167,13 +167,18 @@ def register_layer(op_type):
inputs
[
ipt
.
name
]
=
val
outputs
=
dict
()
out
=
helper
.
create_tmp_variable
(
dtype
=
dtype
)
outputs
[
o_name
]
=
[
out
]
out
=
kwargs
.
pop
(
_convert_
(
o_name
),
[])
if
out
:
out_var
=
out
[
0
]
if
(
isinstance
(
out
,
list
)
or
isinstance
(
out
,
tuple
))
else
out
else
:
out_var
=
helper
.
create_tmp_variable
(
dtype
=
dtype
)
outputs
[
o_name
]
=
[
out_var
]
for
name
in
intermediate_output_names
:
outputs
[
name
]
=
[
helper
.
create_tmp_variable
(
dtype
=
dtype
)]
helper
.
append_op
(
type
=
op_type
,
inputs
=
inputs
,
outputs
=
outputs
,
attrs
=
kwargs
)
return
helper
.
append_activation
(
out
)
return
helper
.
append_activation
(
out
_var
)
func
.
__name__
=
op_type
func
.
__doc__
=
_generate_doc_string_
(
op_proto
)
...
...
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