#The nvcc & cuda driver versions of latest environment not consistent.

1 messages · Page 1 of 1 (latest)

livid perch
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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 |
+-----------------------------------------+------------------------+----------------------+
fading tundra
#

if you can maybe you can try Colab

#

i think it's convenient cause it don't need to worry about the cofiguation so much