def wide_resnet101_2(pretrained=False, **kwargs):
    """Constructs a Wide ResNet-101-2 model.
    The model is the same as ResNet except for the bottleneck number of channels
    which is twice larger in every block. The number of channels in outer 1x1
    convolutions is the same.
    """
    model_args = dict(block=Bottleneck, layers=[3, 4, 23, 3], base_width=128, **kwargs)
    return _create_resnet('wide_resnet101_2', pretrained, **model_args)
Constructs a Wide ResNet-101-2 model.
    The model is the same as ResNet except for the bottleneck number of channels
    which is twice larger in every block. The number of channels in outer 1x1
    convolutions is the same.
    
analyze/convnexts4nd/src/models/baselines/resnet_timm.py