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allow_pickle=False while loading of mel matrix IN audio.py (#1511)

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* Update audio.py

 The `mel_filters` function is using a `np.load` function to load a pre-computed mel filterbank matrix. This function is not thread-safe, which means that if it is called from multiple threads at the same time, it may corrupt the data.

To fix this, you can use the `torch.load` function instead. This function is thread-safe, so it will not corrupt the data if it is called from multiple threads at the same time.

* Update audio.py

updated the docstring

* allow_pickle=False

* newline

---------

Co-authored-by: Jong Wook Kim <jongwook@nyu.edu>
Co-authored-by: Jong Wook Kim <jongwook@openai.com>
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Mohamad Zamini 2023-11-06 03:28:51 -07:00 committed by GitHub
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whisper/audio.py
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@ -101,9 +101,9 @@ def mel_filters(device, n_mels: int = N_MELS) -> torch.Tensor:
) )
""" """
assert n_mels == 80, f"Unsupported n_mels: {n_mels}" assert n_mels == 80, f"Unsupported n_mels: {n_mels}"
with np.load(
os.path.join(os.path.dirname(__file__), "assets", "mel_filters.npz") filters_path = os.path.join(os.path.dirname(__file__), "assets", "mel_filters.npz")
) as f: with np.load(filters_path, allow_pickle=False) as f:
return torch.from_numpy(f[f"mel_{n_mels}"]).to(device) return torch.from_numpy(f[f"mel_{n_mels}"]).to(device)