PyTorch problem with a specific version of CUDA
/home/arisa/.conda/envs/deep3d_pytorch/lib/python3.6/site-packages/torch/cuda/init.py:125: UserWarning:
NVIDIA GeForce RTX 3060 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_61 sm_70 sm_75 compute_37.
If you want to use the NVIDIA GeForce RTX 3060 GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
A version of PyTorch with a specific version of CUDA
/home/arisa/.conda/envs/deep3d_pytorch/lib/python3.6/site-packages/torch/cuda/init.py:125: UserWarning:
NVIDIA GeForce RTX 3060 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_61 sm_70 sm_75 compute_37.
If you want to use the NVIDIA GeForce RTX 3060 GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
Build a specific version of PyTorch with a specific version of CUDA
Feasibility I just want to know if it’s possible to build PyTorch 1.6.0 along with CUDA 12.3: https://github.com/pytorch/pytorch/releases/tag/v1.6.0 $ nvidia-smi Tue Jun 18 18:28:37 2024 +—————————————————————————————+ | NVIDIA-SMI 545.23.08 Driver Version: 545.23.08 CUDA Version: 12.3 | |—————————————–+———————-+———————-+ | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | […]