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I think padding="same" wasn't added to PyTorch until version 1.9, so you may need to upgrade to use that particular argument. However, you could also just use an odd-sized kernel and set padding=kernel_size//2.
https://github.com/tmp-iclr/convmixer/blob/1cefd860a1a6a85369887d1a633425cedc2afd0a/convmixer.py#L18 There is an error:TypeError: conv2d(): argument 'padding' (position 5) must be tuple of ints, not str.
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