def tv_resnet152(pretrained=False, **kwargs):
    """Constructs a ResNet-152 model w/ Torchvision pretrained weights.
    """
    model_args = dict(block=Bottleneck, layers=[3, 8, 36, 3], **kwargs)
    return _create_resnet('tv_resnet152', pretrained, **model_args)
Constructs a ResNet-152 model w/ Torchvision pretrained weights.
    
analyze/convnexts4nd/src/models/baselines/resnet_timm.py