def resnext50d_32x4d(pretrained=False, **kwargs):
    """Constructs a ResNeXt50d-32x4d model. ResNext50 w/ deep stem & avg pool downsample
    """
    model_args = dict(
        block=Bottleneck, layers=[3, 4, 6, 3],  cardinality=32, base_width=4,
        stem_width=32, stem_type='deep', avg_down=True, **kwargs)
    return _create_resnet('resnext50d_32x4d', pretrained, **model_args)
Constructs a ResNeXt50d-32x4d model. ResNext50 w/ deep stem & avg pool downsample
    
analyze/convnexts4nd/src/models/baselines/resnet_timm.py