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@ -93,7 +93,9 @@ default_cfgs = dict(
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),
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),
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gmixer_12_224=_cfg(mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD),
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gmixer_12_224=_cfg(mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD),
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gmixer_24_224=_cfg(mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD),
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gmixer_24_224=_cfg(
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url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/gmixer_24_224_raa-7daf7ae6.pth',
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mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD),
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resmlp_12_224=_cfg(
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resmlp_12_224=_cfg(
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url='https://dl.fbaipublicfiles.com/deit/resmlp_12_no_dist.pth',
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url='https://dl.fbaipublicfiles.com/deit/resmlp_12_no_dist.pth',
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@ -457,11 +459,11 @@ def mixer_b16_224_miil_in21k(pretrained=False, **kwargs):
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@register_model
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@register_model
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def gmixer_12_224(pretrained=False, **kwargs):
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def gmixer_12_224(pretrained=False, **kwargs):
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""" Glu-Mixer-12 224x224 (short & fat)
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""" Glu-Mixer-12 224x224
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Experiment by Ross Wightman, adding (Si)GLU to MLP-Mixer
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Experiment by Ross Wightman, adding (Si)GLU to MLP-Mixer
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"""
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"""
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model_args = dict(
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model_args = dict(
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patch_size=16, num_blocks=12, embed_dim=512, mlp_ratio=(1.0, 6.0),
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patch_size=16, num_blocks=12, embed_dim=384, mlp_ratio=(1.0, 4.0),
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mlp_layer=GluMlp, act_layer=nn.SiLU, **kwargs)
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mlp_layer=GluMlp, act_layer=nn.SiLU, **kwargs)
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model = _create_mixer('gmixer_12_224', pretrained=pretrained, **model_args)
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model = _create_mixer('gmixer_12_224', pretrained=pretrained, **model_args)
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return model
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return model
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@ -469,11 +471,11 @@ def gmixer_12_224(pretrained=False, **kwargs):
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@register_model
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@register_model
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def gmixer_24_224(pretrained=False, **kwargs):
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def gmixer_24_224(pretrained=False, **kwargs):
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""" Glu-Mixer-24 224x224 (tall & slim)
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""" Glu-Mixer-24 224x224
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Experiment by Ross Wightman, adding (Si)GLU to MLP-Mixer
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Experiment by Ross Wightman, adding (Si)GLU to MLP-Mixer
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"""
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"""
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model_args = dict(
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model_args = dict(
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patch_size=16, num_blocks=24, embed_dim=384, mlp_ratio=(1.0, 6.0),
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patch_size=16, num_blocks=24, embed_dim=384, mlp_ratio=(1.0, 4.0),
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mlp_layer=GluMlp, act_layer=nn.SiLU, **kwargs)
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mlp_layer=GluMlp, act_layer=nn.SiLU, **kwargs)
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model = _create_mixer('gmixer_24_224', pretrained=pretrained, **model_args)
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model = _create_mixer('gmixer_24_224', pretrained=pretrained, **model_args)
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return model
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return model
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