提交 569215a2 编写于 作者: L lyuwenyu

update style

上级 16c6152e
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. # Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
# #
# Licensed under the Apache License, Version 2.0 (the "License"); # Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License. # you may not use this file except in compliance with the License.
...@@ -129,8 +129,6 @@ def VGG19(pretrained=False, **kwargs): ...@@ -129,8 +129,6 @@ def VGG19(pretrained=False, **kwargs):
return model return model
def ResNet18(pretrained=False, **kwargs): def ResNet18(pretrained=False, **kwargs):
""" """
ResNet18 ResNet18
...@@ -226,7 +224,6 @@ def ResNet152(pretrained=False, **kwargs): ...@@ -226,7 +224,6 @@ def ResNet152(pretrained=False, **kwargs):
return model return model
def SqueezeNet1_0(pretrained=False, **kwargs): def SqueezeNet1_0(pretrained=False, **kwargs):
""" """
SqueezeNet1_0 SqueezeNet1_0
...@@ -261,8 +258,6 @@ def SqueezeNet1_1(pretrained=False, **kwargs): ...@@ -261,8 +258,6 @@ def SqueezeNet1_1(pretrained=False, **kwargs):
return model return model
def DenseNet121(pretrained=False, **kwargs): def DenseNet121(pretrained=False, **kwargs):
""" """
DenseNet121 DenseNet121
...@@ -358,7 +353,6 @@ def DenseNet264(pretrained=False, **kwargs): ...@@ -358,7 +353,6 @@ def DenseNet264(pretrained=False, **kwargs):
return model return model
def InceptionV3(pretrained=False, **kwargs): def InceptionV3(pretrained=False, **kwargs):
""" """
InceptionV3 InceptionV3
...@@ -393,7 +387,6 @@ def InceptionV4(pretrained=False, **kwargs): ...@@ -393,7 +387,6 @@ def InceptionV4(pretrained=False, **kwargs):
return model return model
def GoogLeNet(pretrained=False, **kwargs): def GoogLeNet(pretrained=False, **kwargs):
""" """
GoogLeNet GoogLeNet
...@@ -411,7 +404,6 @@ def GoogLeNet(pretrained=False, **kwargs): ...@@ -411,7 +404,6 @@ def GoogLeNet(pretrained=False, **kwargs):
return model return model
def ShuffleNet(pretrained=False, **kwargs): def ShuffleNet(pretrained=False, **kwargs):
""" """
ShuffleNet ShuffleNet
...@@ -429,7 +421,6 @@ def ShuffleNet(pretrained=False, **kwargs): ...@@ -429,7 +421,6 @@ def ShuffleNet(pretrained=False, **kwargs):
return model return model
def MobileNetV1(pretrained=False, **kwargs): def MobileNetV1(pretrained=False, **kwargs):
""" """
MobileNetV1 MobileNetV1
......
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