def seresnetaa50d(pretrained=False, **kwargs):
    """Constructs a SE=ResNet-50-D model with avgpool anti-aliasing
    """
    model_args = dict(
        block=Bottleneck, layers=[3, 4, 6, 3], aa_layer=nn.AvgPool2d,
        stem_width=32, stem_type='deep', avg_down=True, block_args=dict(attn_layer='se'), **kwargs)
    return _create_resnet('seresnetaa50d', pretrained, **model_args)
Constructs a SE=ResNet-50-D model with avgpool anti-aliasing
    
analyze/convnexts4nd/src/models/baselines/resnet_timm.py