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https://github.com/huggingface/pytorch-image-models.git
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semobilevit_s for good measure
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@ -34,19 +34,19 @@ def _cfg(url='', **kwargs):
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'crop_pct': 0.9, 'interpolation': 'bicubic',
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'mean': (0, 0, 0), 'std': (1, 1, 1),
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'first_conv': 'stem.conv', 'classifier': 'head.fc',
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'fixed_input_size': False, 'min_input_size': (3, 256, 256),
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'fixed_input_size': False,
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**kwargs
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}
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default_cfgs = {
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# GPU-Efficient (ResNet) weights
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'mobilevit_xxs': _cfg(
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url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-mvit-weights/mobilevit_xxs-ad385b40.pth'),
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'mobilevit_xs': _cfg(
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url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-mvit-weights/mobilevit_xs-8fbd6366.pth'),
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'mobilevit_s': _cfg(
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url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-mvit-weights/mobilevit_s-38a5a959.pth'),
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'semobilevit_s': _cfg(),
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}
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@ -119,6 +119,23 @@ model_cfgs = dict(
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act_layer='silu',
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num_features=640,
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),
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semobilevit_s=ByoModelCfg(
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blocks=(
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_inverted_residual_block(d=1, c=32, s=1),
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_inverted_residual_block(d=3, c=64, s=2),
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_mobilevit_block(d=1, c=96, s=2, transformer_dim=144, transformer_depth=2, patch_size=2),
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_mobilevit_block(d=1, c=128, s=2, transformer_dim=192, transformer_depth=4, patch_size=2),
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_mobilevit_block(d=1, c=160, s=2, transformer_dim=240, transformer_depth=3, patch_size=2),
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),
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stem_chs=16,
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stem_type='3x3',
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stem_pool='',
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downsample='',
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attn_layer='se',
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attn_kwargs=dict(rd_ratio=1/8),
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num_features=640,
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),
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)
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@ -246,3 +263,8 @@ def mobilevit_xs(pretrained=False, **kwargs):
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@register_model
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def mobilevit_s(pretrained=False, **kwargs):
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return _create_mobilevit('mobilevit_s', pretrained=pretrained, **kwargs)
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@register_model
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def semobilevit_s(pretrained=False, **kwargs):
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return _create_mobilevit('semobilevit_s', pretrained=pretrained, **kwargs)
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