A high-throughput and memory-efficient inference and serving engine for LLMs
Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git
Synced Nov 14, 05:30 UTC
[Misc] add `usedforsecurity=False` in md5 hash call (#26357)
Signed-off-by: Daniele Trifirò <dtrifiro@redhat.com>
Daniele committed
Oct 8, 2025 at 12:18 UTC
f377333bd7da3db834d7f8ec5f3dd3e61206b61c
1 file changed
+1
-1
vllm/model_executor/models/registry.py
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-1
@@ -609,7 +609,7 @@ class _LazyRegisteredModel(_BaseRegisteredModel):
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if model_path.exists():
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with open(model_path, "rb") as f:
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- module_hash = hashlib.md5(f.read()).hexdigest()
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+ module_hash = hashlib.md5(f.read(), usedforsecurity=False).hexdigest()
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mi = self._load_modelinfo_from_cache(module_hash)
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if mi is not None: