Hi, thanks for checking my this issue.
I am trying to use vllm to speed up my LLM inference. But I encountered pytorch complained a .so symbol not found.
And I found that cuda compilation tools is 12.3, while cuda version is 12.4, which may have something to do with the symbol error.
I am not sure whether they are related, but anyway, this inconsistent should be a problem, right?
> !nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2023 NVIDIA Corporation
Built on Wed_Nov_22_10:17:15_PST_2023
Cuda compilation tools, release 12.3, V12.3.107
> !nvidia-smi
Tue Sep 3 02:20:07 2024
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 550.90.07 Driver Version: 550.90.07 CUDA Version: 12.4 |
|-----------------------------------------+------------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+========================+======================|
| 0 Tesla P100-PCIE-16GB Off | 00000000:00:04.0 Off | 0 |
| N/A 37C P0 26W / 250W | 0MiB / 16384MiB | 0% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+