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                                            HDUSiberain

An error will occur if use the Cifa10

Change Code In main.py line 76 `model = ResNet50()` INTO `model = ResNet50(resolution=(32, 32))` can solve that problem. Because the `self.rel_h = nn.Parameter(torch.randn([1, heads, n_dims // heads, 1, height]), requires_grad=True)`...