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@ -53,7 +53,9 @@ default_cfgs = {
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'resnext50_32x4d': _cfg(
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url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/resnext50_32x4d-068914d1.pth',
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interpolation='bicubic'),
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'resnext50d_32x4d': _cfg(url=''),
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'resnext50d_32x4d': _cfg(
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url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/resnext50d_32x4d-103e99f8.pth',
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interpolation='bicubic'),
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'resnext101_32x4d': _cfg(url=''),
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'resnext101_32x8d': _cfg(url='https://download.pytorch.org/models/resnext101_32x8d-8ba56ff5.pth'),
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'resnext101_64x4d': _cfg(url=''),
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@ -534,7 +536,7 @@ def resnext50_32x4d(pretrained=False, num_classes=1000, in_chans=3, **kwargs):
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@register_model
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def resnext50d_32x4d(pretrained=False, num_classes=1000, in_chans=3, **kwargs):
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"""Constructs a ResNeXt50-32x4d model.
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"""Constructs a ResNeXt50d-32x4d model. ResNext50 w/ deep stem & avg pool downsample
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"""
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default_cfg = default_cfgs['resnext50d_32x4d']
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model = ResNet(
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