Hey PyTorch Community,
currently i working on a project to train an agent.
Unfortunately i can’ run my script due to this error:
NVIDIA GeForce RTX 3080 Ti with CUDA capability sm_86 is not compatible with the current PyTorch installation.
The current PyTorch install supports CUDA capabilities sm_37 sm_50 sm_60 sm_70.
If you want to use the NVIDIA GeForce RTX 3080 Ti GPU with PyTorch, please check the instructions at Start Locally | PyTorch
I using Ubuntu 20.04.
Informations:
RUN nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Sun_Jul_28_19:07:16_PDT_2019
Cuda compilation tools, release 10.1, V10.1.243
RUN python -c "import torch; print(torch.__version__)"
1.9.0+cu111
RUN nvidia-smi
Mon May 15 20:02:00 2023
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 470.182.03 Driver Version: 470.182.03 CUDA Version: 11.4 |
|-------------------------------+----------------------+----------------------+
| 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 NVIDIA GeForce ... Off | 00000000:2D:00.0 On | N/A |
| 0% 38C P8 26W / 350W | 602MiB / 12045MiB | 8% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| 0 N/A N/A 1125 G /usr/lib/xorg/Xorg 175MiB |
| 0 N/A N/A 1416 G /usr/bin/gnome-shell 33MiB |
| 0 N/A N/A 22053 G ...464272974724260903,262144 124MiB |
| 0 N/A N/A 23840 G .../ros/noetic/lib/rviz/rviz 16MiB |
| 0 N/A N/A 24776 C python 247MiB |
+-----------------------------------------------------------------------------+
Thank you very much ! 