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ed3ce87d
编写于
4月 26, 2020
作者:
littletomatodonkey
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差异文件
fix res2net200_vd
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237650fd
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-12
ppcls/modeling/architectures/res2net_vd.py
ppcls/modeling/architectures/res2net_vd.py
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ppcls/modeling/architectures/res2net_vd.py
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#copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
#
copyright (c) 2020 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.
from
__future__
import
absolute_import
from
__future__
import
division
...
...
@@ -18,7 +18,6 @@ from __future__ import print_function
import
math
import
paddle
import
paddle.fluid
as
fluid
from
paddle.fluid.param_attr
import
ParamAttr
...
...
@@ -39,7 +38,8 @@ class Res2Net_vd():
layers
=
self
.
layers
supported_layers
=
[
50
,
101
,
152
,
200
]
assert
layers
in
supported_layers
,
\
"supported layers are {} but input layer is {}"
.
format
(
supported_layers
,
layers
)
"supported layers are {} but input layer is {}"
.
format
(
supported_layers
,
layers
)
basic_width
=
self
.
width
*
self
.
scales
num_filters1
=
[
basic_width
*
t
for
t
in
[
1
,
2
,
4
,
8
]]
num_filters2
=
[
256
*
t
for
t
in
[
1
,
2
,
4
,
8
]]
...
...
@@ -81,7 +81,7 @@ class Res2Net_vd():
pool_type
=
'max'
)
for
block
in
range
(
len
(
depth
)):
for
i
in
range
(
depth
[
block
]):
if
layers
in
[
101
,
152
]
and
block
==
2
:
if
layers
in
[
101
,
152
,
200
]
and
block
==
2
:
if
i
==
0
:
conv_name
=
"res"
+
str
(
block
+
2
)
+
"a"
else
:
...
...
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