Do not assert for a negative timestamp #1947
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This may be thrown when `verbose` is set to True and a very short audio is transcribed, resulting in a negative timestamp. Even though this is not a desired use case, it is preferable to keep going without raising an exception.
linsen20220222
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Nov 29, 2024
As of openai#1486, whisper.cpp uses a unified KV cache with KQ masking. As a result, depending on their location in the batch, identical sequences in a batch can have slightly different outputs due to floating point rounding errors during reduction. See the discussion in openai#1941 for more details. The beam search code used "has identical sum of log probabilities" as a shorthand for "is an identical token sequence". However, per above, identical tokens do not necessarily result in identical probabilities. Instead, explicitly compare on sequences. This is linear in cost when they are identical, but the lengths are always small and the comparisons are cheap. This increases diversity during beam search. This improves output quality for some short samples I've been working with, at no detectable performance cost. I haven't checked against larger corpuses. Fixes openai#1941
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This may be thrown when
verboseis set to True and a very short audio is transcribed, resulting in a negative timestamp. Even though this is not a desired use case, it is preferable to keep going without raising an exception.