fedlab_core.models.vgg¶
Module Contents¶
Functions¶
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VGG 11-layer model (configuration “A”) |
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VGG 11-layer model (configuration “A”) with batch normalization |
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VGG 13-layer model (configuration “B”) |
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VGG 13-layer model (configuration “B”) with batch normalization |
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VGG 16-layer model (configuration “D”) |
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VGG 16-layer model (configuration “D”) with batch normalization |
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VGG 19-layer model (configuration “E”) |
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VGG 19-layer model (configuration ‘E’) with batch normalization |
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class
fedlab_core.models.vgg.VGG(features)¶ Bases:
torch.nn.ModuleVGG model
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forward(self, x)¶
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fedlab_core.models.vgg.vgg11()¶ VGG 11-layer model (configuration “A”)
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fedlab_core.models.vgg.vgg11_bn()¶ VGG 11-layer model (configuration “A”) with batch normalization
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fedlab_core.models.vgg.vgg13()¶ VGG 13-layer model (configuration “B”)
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fedlab_core.models.vgg.vgg13_bn()¶ VGG 13-layer model (configuration “B”) with batch normalization
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fedlab_core.models.vgg.vgg16()¶ VGG 16-layer model (configuration “D”)
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fedlab_core.models.vgg.vgg16_bn()¶ VGG 16-layer model (configuration “D”) with batch normalization
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fedlab_core.models.vgg.vgg19()¶ VGG 19-layer model (configuration “E”)
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fedlab_core.models.vgg.vgg19_bn()¶ VGG 19-layer model (configuration ‘E’) with batch normalization