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

* 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 <[email protected]> Co-authored-by: Jong Wook Kim <[email protected]>
openai · Nov 6, 2023 · 7dfcd56 · 7dfcd56
1 parent b7d277a
commit 7dfcd56
Showing 1 changed file with 3 additions and 3 deletions.
diff --git a/whisper/audio.py b/whisper/audio.py
@@ -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}"
-    with np.load(
-        os.path.join(os.path.dirname(__file__), "assets", "mel_filters.npz")
-    ) as f:
+
+    filters_path = os.path.join(os.path.dirname(__file__), "assets", "mel_filters.npz")
+    with np.load(filters_path, allow_pickle=False) as f:
         return torch.from_numpy(f[f"mel_{n_mels}"]).to(device)