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Add two comments back, fix typo
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@ -1430,7 +1430,7 @@ def efficientnet_b1(pretrained=False, num_classes=1000, in_chans=3, **kwargs):
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""" EfficientNet-B1 """
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default_cfg = default_cfgs['efficientnet_b1']
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# NOTE for train, drop_rate should be 0.2
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kwargs['drop_connect_rate'] = 0.2 # set when training, TODO add as cmd arg
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#kwargs['drop_connect_rate'] = 0.2 # set when training, TODO add as cmd arg
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model = _gen_efficientnet(
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channel_multiplier=1.0, depth_multiplier=1.1,
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num_classes=num_classes, in_chans=in_chans, **kwargs)
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@ -1445,7 +1445,7 @@ def efficientnet_b2(pretrained=False, num_classes=1000, in_chans=3, **kwargs):
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""" EfficientNet-B2 """
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default_cfg = default_cfgs['efficientnet_b2']
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# NOTE for train, drop_rate should be 0.3
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kwargs['drop_connect_rate'] = 0.2 # set when training, TODO add as cmd arg
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#kwargs['drop_connect_rate'] = 0.2 # set when training, TODO add as cmd arg
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model = _gen_efficientnet(
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channel_multiplier=1.1, depth_multiplier=1.2,
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num_classes=num_classes, in_chans=in_chans, **kwargs)
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@ -334,7 +334,7 @@ def wide_resnet50_2(pretrained=False, num_classes=1000, in_chans=3, **kwargs):
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@register_model
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def wide_resnet101_2(pretrained=False, num_classes=1000, in_chans=3, **kwargs):
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"""Constructs a Wide ResNet-100-2 model.
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"""Constructs a Wide ResNet-101-2 model.
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The model is the same as ResNet except for the bottleneck number of channels
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which is twice larger in every block. The number of channels in outer 1x1
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convolutions is the same.
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