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[Bugfix] Fix the fp8 kv_cache check error that occurs when failing to obtain the CUDA version. #4173

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merged 1 commit into from
May 1, 2024
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[Bugfix] Fix the fp8 kv_cache check error that occurs when failing to obtain the CUDA version. #4173

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3 changes: 2 additions & 1 deletion vllm/config.py
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Original file line number Diff line number Diff line change
Expand Up @@ -325,7 +325,8 @@ def _verify_cache_dtype(self) -> None:
elif self.cache_dtype == "fp8":
if not is_hip():
nvcc_cuda_version = get_nvcc_cuda_version()
if nvcc_cuda_version < Version("11.8"):
if nvcc_cuda_version is not None \
and nvcc_cuda_version < Version("11.8"):
Comment on lines 327 to +329
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@chiragjn chiragjn May 1, 2024 •
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Thanks for this!

Just curious, why is this check on nvcc and not on libcudart version in the first place?
E.g. torch.version.cuda or some other way?

I was wondering if I have cuda runtime 11.8 without nvcc installed this condition evaluates to False and no error would be raised.

For the docker image it would not matter because it has cuda 12.x

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It is better to check cuda version on libcudart, as vllm-openai images only has cuda runtime.

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+1 I fixed a bug for removing nvcc dependency: #4666

raise ValueError(
"FP8 is not supported when cuda version is"
"lower than 11.8.")
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