I don’t understand why the input channels needs to be 1, my understanding is that the input is 13 since data size is (N * 13), which means that the input should be 128 * 1 * 13. Correct?
After changing feat_dim to 1 , with features.unsqueeze(dim=1), I get this error:
RuntimeError: Calculated padded input size per channel: (5). Kernel size: (7). Kernel size can't be greater than actual input size