forked from mrq/ai-voice-cloning
Catch OOM and run whisper on cpu automatically.
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@ -2065,7 +2065,13 @@ def load_whisper_model(language=None, model_name=None, progress=None):
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if args.whisper_backend == "openai/whisper":
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import whisper
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try:
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#is it possible for model to fit on vram but go oom later on while executing on data?
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whisper_model = whisper.load_model(model_name)
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except:
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print("Out of VRAM memory.")
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print(f"Falling back to loading Whisper on CPU.")
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whisper_model = whisper.load_model(model_name, device="cpu")
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elif args.whisper_backend == "lightmare/whispercpp":
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from whispercpp import Whisper
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if not language:
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