Let me try to repeat this.
So you say for the correlational layer with padding “same”:
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correl = nn.Conv2d(in_channels=8, out_channels=8, kernel_size=(3,1), stride=1)
But I really don’t understand why they write [3x1] in the paper. But then I’m supposed to use a kernel_size of 3 which is a 3x3 matrix?