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Update extract_f0.py
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lib/rvc/preprocessing/extract_f0.py

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@@ -22,7 +22,7 @@ def get_optimal_torch_device(index: int = 0) -> torch.device:
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# Else wise return the "cpu" as a torch device,
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return torch.device("cpu")
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def get_f0_official_crepe_computation( # Currently errors on the predict call w/ TypeError: can't convert np.ndarray of type numpy.uint16. The only supported types are: float64, float32, float16, complex64, complex128, int64, int32, int16, int8, uint8, and bool.
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def get_f0_official_crepe_computation(
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x,
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sr,
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f0_min,

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