CUDA_ERROR_NO_DEVICE "no CUDA-capable device is detected"
EricLBuehler opened this issue · comments
Hello all,
Thanks for your great work here! When I run using cudarc, I get the error:
called `Result::unwrap()` on an `Err` value: Cuda(Cuda(DriverError(CUDA_ERROR_NO_DEVICE, "no CUDA-capable device is detected")))
Here is my system information:
$ nvidia-smi
Tue Jun 11 23:53:28 2024
+---------------------------------------------------------------------------------------+
| NVIDIA-SMI 535.72 Driver Version: 536.45 CUDA Version: 12.2 |
|-----------------------------------------+----------------------+----------------------+
| 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 Quadro M2000M On | 00000000:01:00.0 Off | N/A |
| N/A 0C P8 N/A / 200W | 0MiB / 4096MiB | 1% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
+---------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=======================================================================================|
| 0 N/A N/A 33 G /Xwayland N/A |
+---------------------------------------------------------------------------------------+
$ nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2024 NVIDIA Corporation
Built on Wed_Apr_17_19:19:55_PDT_2024
Cuda compilation tools, release 12.5, V12.5.40
Build cuda_12.5.r12.5/compiler.34177558_0
$ nvidia-smi --query-gpu=compute_cap --format=csv
compute_cap
5.0
$ echo $CUDA_VISIBLE_DEVICES
0
I would appreciate any help!
Is pytorch able to see the GPU? Also what cuda toolkit version is being targeted by cudarc (if using cuda-version-from-build-system, is it being compiled on this machine?)