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Why use subsequent_mask = np.triu(np.ones(attn_shape), k=1).astype('uint8') return torch.from_numpy(subsequent_mask) == 0
I think return torch.from_numpy(np.tril(np.ones(attn_shape), k=0).astype('uint8')) maybe is a more clear writing style for a new learner?
The text was updated successfully, but these errors were encountered:
Maybe it just looks more tricky and more pythonic, haha.
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Why use
subsequent_mask = np.triu(np.ones(attn_shape), k=1).astype('uint8')
return torch.from_numpy(subsequent_mask) == 0
I think
return torch.from_numpy(np.tril(np.ones(attn_shape), k=0).astype('uint8'))
maybe is a more clear writing style for a new learner?
The text was updated successfully, but these errors were encountered: