def resnetblur101d(pretrained=False, **kwargs):
    """Constructs a ResNet-101-D model with blur anti-aliasing
    """
    model_args = dict(
        block=Bottleneck, layers=[3, 4, 23, 3], aa_layer=BlurPool2d,
        stem_width=32, stem_type='deep', avg_down=True, **kwargs)
    return _create_resnet('resnetblur101d', pretrained, **model_args)
Constructs a ResNet-101-D model with blur anti-aliasing
    
analyze/convnexts4nd/src/models/baselines/resnet_timm.py