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Functions56 in github.com/Marcovaldong/LightModels

↓ 7 callersMethod_make_layer
(self, in_channels, out_channels, repeat, stride, expansion=6)
models/mobilenetv2.py:67
↓ 4 callersMethod_make_layer
(self, block, channels, num_blocks, stride)
models/senet.py:92
↓ 3 callersMethod_make_layer
(self, out_planes, num_blocks, groups)
models/shufflenet.py:78
↓ 3 callersMethod_make_player
(self, stage, num_blocks)
models/shufflenetv2.py:113
↓ 2 callersFunctionSENet18
()
models/senet.py:114
↓ 2 callersMethod__init__
(self, block, num_blocks, num_classes=10)
models/senet.py:78
↓ 2 callersMethod__init__
(self, in_planes, out_planes, stride, groups)
models/shufflenet.py:19
↓ 2 callersMethodforward
(self, x)
models/senet.py:100
↓ 2 callersFunctionshuffleNetG3
()
models/shufflenet.py:116
↓ 1 callersMethod__init__
(self, inplanes, squeeze_planes, expand_planes)
models/squeezenet.py:10
↓ 1 callersMethod__init__
(self, in_channels, out_channels, stride=1)
models/mobilenet.py:8
↓ 1 callersMethod__init__
(self, in_channels, out_channels, stride=1, splits_left=2, groups=2)
models/shufflenetv2.py:7
↓ 1 callersMethod__init__
(self, in_channels, out_channels, expansion, stride)
models/mobilenetv2.py:8
↓ 1 callersMethod_make_layers
(self, in_planes)
models/mobilenet.py:33
↓ 1 callersFunctionshuffleNetG1
()
models/shufflenet.py:100
↓ 1 callersFunctionshuffleNetG2
()
models/shufflenet.py:108
↓ 1 callersFunctionshuffleNetG4
()
models/shufflenet.py:124
↓ 1 callersFunctionshuffleNetG8
()
models/shufflenet.py:132
↓ 1 callersFunctionshufflenet
(groups)
models/shufflenet.py:140
↓ 1 callersFunctiontest
()
main.py:153
↓ 1 callersFunctiontest
()
models/shufflenetv2.py:122
↓ 1 callersFunctiontrain
(epoch)
main.py:87
↓ 1 callersFunctionval
(epoch)
main.py:127
Method__init__
(self, in_channels, channels, stride=1)
models/senet.py:7
Method__init__
(self, in_channels, channels, stride=1)
models/senet.py:43
Method__init__
(self)
models/squeezenet.py:33
Method__init__
(self, num_classes=10)
models/mobilenet.py:24
Method__init__
(self, num_classes=1000, net_scale=1.0, splits_left=2)
models/shufflenetv2.py:73
Method__init__
(self, groups)
models/shufflenet.py:7
Method__init__
(self, cfg)
models/shufflenet.py:49
Method__init__
(self, num_classes=10)
models/mobilenetv2.py:35
Functionadjustlrwd
(params)
main.py:82
Functionfire_layer
(inp, s, e)
models/squeezenet.py:94
Methodforward
(self, x)
models/senet.py:26
Methodforward
(self, x)
models/senet.py:61
Methodforward
(self, x)
models/squeezenet.py:25
Methodforward
(self, x)
models/squeezenet.py:73
Methodforward
(self, x)
models/mobilenet.py:16
Methodforward
(self, x)
models/mobilenet.py:42
Methodforward
(self, x)
models/shufflenetv2.py:52
Methodforward
(self, img)
models/shufflenetv2.py:99
Methodforward
Channel shuffle: [N, C, H, W] -> [N, g, C/g, H, W] -> [N, c/g, g, H, W] -> [N, C, H, W]
models/shufflenet.py:11
Methodforward
(self, x)
models/shufflenet.py:39
Methodforward
(self, x)
models/shufflenet.py:87
Methodforward
(self, x)
models/mobilenetv2.py:27
Methodforward
(self, x)
models/mobilenetv2.py:74
Methodname
(self)
models/senet.py:111
Methodname
(self)
models/squeezenet.py:91
Methodname
(self)
models/mobilenet.py:50
Methodname
(self)
models/shufflenet.py:97
Methodname
(self)
models/mobilenetv2.py:88
Functionsqueezenet
(pretrained=False)
models/squeezenet.py:97
Functiontest
()
models/senet.py:117
Functiontest
()
models/mobilenet.py:54
Functiontest
()
models/shufflenet.py:152
Functiontest
()
models/mobilenetv2.py:91