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Set weights_only=True when using torch.load() (#12366)

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Signed-off-by: Russell Bryant <rbryant@redhat.com>
This commit is contained in:
Russell Bryant
2025-01-23 21:17:30 -05:00
committed by GitHub
parent 24b0205f58
commit d3d6bb13fb
4 changed files with 10 additions and 6 deletions
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8
vllm/model_executor/model_loader/weight_utils.py
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@@ -93,7 +93,7 @@ def convert_bin_to_safetensor_file(
pt_filename: str,
sf_filename: str,
) -> None:
loaded = torch.load(pt_filename, map_location="cpu")
loaded = torch.load(pt_filename, map_location="cpu", weights_only=True)
if "state_dict" in loaded:
loaded = loaded["state_dict"]
shared = _shared_pointers(loaded)
@@ -381,7 +381,9 @@ def np_cache_weights_iterator(
disable=not enable_tqdm,
bar_format=_BAR_FORMAT,
):
state = torch.load(bin_file, map_location="cpu")
state = torch.load(bin_file,
map_location="cpu",
weights_only=True)
for name, param in state.items():
param_path = os.path.join(np_folder, name)
with open(param_path, "wb") as f:
@@ -447,7 +449,7 @@ def pt_weights_iterator(
disable=not enable_tqdm,
bar_format=_BAR_FORMAT,
):
state = torch.load(bin_file, map_location="cpu")
state = torch.load(bin_file, map_location="cpu", weights_only=True)
yield from state.items()
del state
torch.cuda.empty_cache()