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hub / github.com/cure-lab/deep-active-learning / ShuffleNetG3

Function ShuffleNetG3

models/shufflenet.py:108–114  ·  view source on GitHub ↗
(channels=3, num_classes=10)

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106 return ShuffleNet(channels=channels,num_classes=num_classes, dropout=dropout, cfg=cfg)
107
108def ShuffleNetG3(channels=3, num_classes=10):
109 cfg = {
110 'out_planes': [240,480,960],
111 'num_blocks': [4,8,4],
112 'groups': 3
113 }
114 return ShuffleNet(channels=channels, num_classes=num_classes, cfg=cfg)
115
116
117def test():

Callers

nothing calls this directly

Calls 1

ShuffleNetClass · 0.85

Tested by

no test coverage detected