Self-restart worker process when model loading fails
Discovered vibevoice sitting at 3.2GB resident GPU memory with loaded_models: [] and no idle-unload ever firing for it again. Root cause: a load attempt had OOM'd partway through (competing with an unrelated ollama process on the same GPU), so _MODEL_CACHE was never populated — the idle-unload loop only clears that cache, so it had nothing to act on, even though the partially-constructed model had already left memory allocated. gc.collect()+empty_cache() don't reliably reclaim memory from an interrupted from_pretrained() call. Confirmed a plain process restart does fully reclaim it, so each worker now treats any load failure as fatal: log it and os._exit(1), letting supervisord's autorestart=true respawn a clean process immediately. Verified with a bogus model id — worker exits, respawns, and passes the smoke test right after. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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@@ -167,12 +167,23 @@ def _load_model(model_name: str) -> WhisperModel:
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if _MODEL_CACHE:
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# Only one whisper model resident at a time — switching sizes frees the old one.
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_unload_whisper_models()
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_MODEL_CACHE[model_name] = WhisperModel(
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model_name,
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device=DEVICE,
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compute_type=COMPUTE_TYPE,
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download_root=str(MODEL_CACHE),
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)
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try:
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_MODEL_CACHE[model_name] = WhisperModel(
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model_name,
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device=DEVICE,
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compute_type=COMPUTE_TYPE,
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download_root=str(MODEL_CACHE),
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)
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except Exception as e:
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# A load interrupted partway (e.g. OOM) can leave CUDA memory
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# fragmented/leaked in ways gc.collect()+empty_cache() don't
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# reliably reclaim, and since _MODEL_CACHE never got populated
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# the idle-unload loop has nothing to clean up either.
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# Restarting the whole process is the only guaranteed way to get
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# that memory back — supervisord's autorestart=true respawns it
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# immediately.
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print(f"[faster_whisper] model load failed, restarting process to reclaim GPU memory: {type(e).__name__}: {e}", flush=True)
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os._exit(1)
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return _MODEL_CACHE[model_name]
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