def tv_resnet101(pretrained=False, **kwargs):
    """Constructs a ResNet-101 model w/ Torchvision pretrained weights.
    """
    model_args = dict(block=Bottleneck, layers=[3, 4, 23, 3], **kwargs)
    return _create_resnet('tv_resnet101', pretrained, **model_args)
Constructs a ResNet-101 model w/ Torchvision pretrained weights.
    
analyze/convnexts4nd/src/models/baselines/resnet_timm.py