def tv_resnet50(pretrained=False, **kwargs):
    """Constructs a ResNet-50 model with original Torchvision weights.
    """
    model_args = dict(block=Bottleneck, layers=[3, 4, 6, 3],  **kwargs)
    return _create_resnet('tv_resnet50', pretrained, **model_args)
Constructs a ResNet-50 model with original Torchvision weights.
    
analyze/convnexts4nd/src/models/baselines/resnet_timm.py