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0f3d321b
编写于
5月 28, 2021
作者:
C
cuicheng01
提交者:
GitHub
5月 28, 2021
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Update resnet.py
上级
e6792d34
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1
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ppcls/arch/backbone/legendary_models/resnet.py
ppcls/arch/backbone/legendary_models/resnet.py
+2
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未找到文件。
ppcls/arch/backbone/legendary_models/resnet.py
浏览文件 @
0f3d321b
...
@@ -365,7 +365,7 @@ def ResNet34(**args):
...
@@ -365,7 +365,7 @@ def ResNet34(**args):
lr_mult_list: list=[1.0, 1.0, 1.0, 1.0, 1.0]. Control the learning rate of different stages.
lr_mult_list: list=[1.0, 1.0, 1.0, 1.0, 1.0]. Control the learning rate of different stages.
pretrained: bool or str, default: bool=False. Whether to load the pretrained model.
pretrained: bool or str, default: bool=False. Whether to load the pretrained model.
Returns:
Returns:
model: nn.Layer. Specific `ResNet
18
` model depends on args.
model: nn.Layer. Specific `ResNet
34
` model depends on args.
"""
"""
model
=
ResNet
(
config
=
NET_CONFIG
[
"34"
],
version
=
"vb"
,
**
args
)
model
=
ResNet
(
config
=
NET_CONFIG
[
"34"
],
version
=
"vb"
,
**
args
)
if
isinstance
(
model
.
pretrained
,
bool
):
if
isinstance
(
model
.
pretrained
,
bool
):
...
@@ -388,7 +388,7 @@ def ResNet34_vd(**args):
...
@@ -388,7 +388,7 @@ def ResNet34_vd(**args):
lr_mult_list: list=[1.0, 1.0, 1.0, 1.0, 1.0]. Control the learning rate of different stages.
lr_mult_list: list=[1.0, 1.0, 1.0, 1.0, 1.0]. Control the learning rate of different stages.
pretrained: bool or str, default: bool=False. Whether to load the pretrained model.
pretrained: bool or str, default: bool=False. Whether to load the pretrained model.
Returns:
Returns:
model: nn.Layer. Specific `ResNet
18
_vd` model depends on args.
model: nn.Layer. Specific `ResNet
34
_vd` model depends on args.
"""
"""
model
=
ResNet
(
config
=
NET_CONFIG
[
"34"
],
version
=
"vd"
,
**
args
)
model
=
ResNet
(
config
=
NET_CONFIG
[
"34"
],
version
=
"vd"
,
**
args
)
if
isinstance
(
model
.
pretrained
,
bool
):
if
isinstance
(
model
.
pretrained
,
bool
):
...
...
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