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ErisMik avatar ErisMik commented on May 17, 2024

Do you get the same issue when running other engines or datasets? Or is it only this combination of arguments?

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aaronedell avatar aaronedell commented on May 17, 2024

I tried it with LibriSpeech/test-clean and got the same result. Here is a screengrab of my activity monitor before the crash.
Screenshot 2024-02-16 at 7 50 18 AM

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aaronedell avatar aaronedell commented on May 17, 2024

However, when I try with WHISPER_SMALL I don't have the issue.

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ErisMik avatar ErisMik commented on May 17, 2024

I see. Whisper large is a big model and takes a lot of RAM to run. By default we run a thread for each CPU count, and it has a copy of the model on each thread. Try reducing the amount of threads used in the benchmark using the --num-workers argument? Try something like 7 or 8? I imagine then it will run fine.

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ErisMik avatar ErisMik commented on May 17, 2024

Closing due to inactivity

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