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This is just a bug in their code. The paper they cite uses 1D convolutions. Though, I suppose having an unused dimension only really hurts efficiency.


> Though, I suppose having an unused dimension only really hurts efficiency.

That might not be true as it might increase bias and thus might need a more careful hyperparameter tuning to avoid overfitting.




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