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The LightAttention model used for residues_to_class protocol uses BatchNorm1D. However, if using a batch size of 1 is not possible with BatchNorm1D. Because a batch size of 1 is an edge case anyway, we decide not to fix this problem soon. See also #34.
Please answer to this issue if you should encounter the problem, then we might look into a solution for it.
The text was updated successfully, but these errors were encountered:
The LightAttention model used for residues_to_class protocol uses BatchNorm1D. However, if using a batch size of 1 is not possible with BatchNorm1D. Because a batch size of 1 is an edge case anyway, we decide not to fix this problem soon. See also #34.
Please answer to this issue if you should encounter the problem, then we might look into a solution for it.
The text was updated successfully, but these errors were encountered: