[tests] Improve speed and reliability of test_transcription_api_correctness #23854
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…ctness Improve the performance of this test by only creating the tokenizer once instead of hundreds of times + serialized due to doing it while holding a semaphore. The previous code would also frequently get rate limited by HuggingFace from requesting https://huggingface.co/openai/whisper-large-v3/resolve/main/tokenizer_config.json too many times. This would sometimes cause the test to fail. On my laptop, here is the time difference: Before: - 5m3.389s After: - 2m5.471s This is a piece split out from vllm-project#21088. Signed-off-by: Russell Bryant <[email protected]>
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This pull request provides a significant and well-executed optimization for the test_transcription_api_correctness test. By initializing the tokenizer once outside the main processing loop, it correctly addresses a performance bottleneck and a source of test flakiness caused by repeated network requests to HuggingFace. The code changes are clear, logical, and effectively improve both the speed and reliability of the test suite. No issues were found in the implementation.
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…ctness (vllm-project#23854) Signed-off-by: Russell Bryant <[email protected]>
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…ctness (vllm-project#23854) Signed-off-by: Russell Bryant <[email protected]>
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Improve the performance of this test by only creating the tokenizer
once instead of hundreds of times + serialized due to doing it while
holding a semaphore.
The previous code would also frequently get rate limited by
HuggingFace from requesting https://huggingface.co/openai/whisper-large-v3/resolve/main/tokenizer_config.json
too many times. This would sometimes cause the test to fail.
On my laptop, here is the time difference:
Before:
After:
This is a piece split out from #21088.
Signed-off-by: Russell Bryant [email protected]