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Fix/torch load weights only warning #2301

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Fix/torch load weights only warning #2301

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2317050
Update torch.load() call with weights_only=True
Ultr4Dev Aug 12, 2024
895e4fb
Add weights_only parameter to load_model function and extent docstring
Ultr4Dev Aug 12, 2024
1add301
Merge branch 'main' into fix/torch-load-weights-only-warning
Ultr4Dev Sep 16, 2024
feb45ab
Merge branch 'main' into fix/torch-load-weights-only-warning
Ultr4Dev Oct 2, 2024
a0d19f1
Merge branch 'main' into fix/torch-load-weights-only-warning
jongwook Oct 26, 2024
8435c31
Merge branch 'main' into fix/torch-load-weights-only-warning
Ultr4Dev Nov 9, 2024
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5 changes: 4 additions & 1 deletion whisper/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -105,6 +105,7 @@ def load_model(
device: Optional[Union[str, torch.device]] = None,
download_root: str = None,
in_memory: bool = False,
weights_only: bool = False,
) -> Whisper:
"""
Load a Whisper ASR model
Expand All @@ -120,6 +121,8 @@ def load_model(
path to download the model files; by default, it uses "~/.cache/whisper"
in_memory: bool
whether to preload the model weights into host memory
weights_only: bool
whether to load only the model weights

Returns
-------
Expand Down Expand Up @@ -147,7 +150,7 @@ def load_model(
with (
io.BytesIO(checkpoint_file) if in_memory else open(checkpoint_file, "rb")
) as fp:
checkpoint = torch.load(fp, map_location=device)
checkpoint = torch.load(fp, map_location=device, weights_only=weights_only)
del checkpoint_file

dims = ModelDimensions(**checkpoint["dims"])
Expand Down
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