Whisper encode roughly 4x slower than openai/pytorch
whispy-woods opened this issue · comments
Obviously the encoding time is almost a non-issue, only when you are working on very small audio chunks it could even hope to shave off some meaningful total percentage of runtime.
I just wanted to mention it in case it is flying under the radar and there might be a quick fix to it. For example, on RTX 4080 both Linux/Windows the encode takes around 0.08s in ctranslate2 and 0.02s with the openAI reference implementation, same 4x difference on two other systems with RTX 4090 and RTX 4060. Thanks for all the work!
Do you have some of the code that you could share so we can see what might be going on?