def convit_tiny()

in models.py [0:0]

• 14 lines of code
• 2 McCabe index (conditional complexity)

def convit_tiny(pretrained=False, **kwargs):
    num_heads = 4
    kwargs['embed_dim'] *= num_heads
    model = VisionTransformer(
        num_heads=num_heads,
        norm_layer=partial(nn.LayerNorm, eps=1e-6), **kwargs)
    model.default_cfg = _cfg()
    if pretrained:
        checkpoint = torch.hub.load_state_dict_from_url(
            url="https://dl.fbaipublicfiles.com/convit/convit_tiny.pth",
            map_location="cpu", check_hash=True
        )
        model.load_state_dict(checkpoint)
    return model