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 | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+======================+======================|
| 0 NVIDIA GeForce RTX 3060 On | 00000000:41:00.0 Off | N/A |
| 0% 40C P8 13W / 170W | 39MiB / 12288MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
+---------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=======================================================================================|
| 0 N/A N/A 1078 G /usr/lib/xorg/Xorg 16MiB |
| 0 N/A N/A 1407 G /usr/bin/gnome-shell 3MiB |
+---------------------------------------------------------------------------------------+
Background
I need to test this AI model on the above CUDA device:
https://github.com/sicxu/Deep3DFaceRecon_pytorch
But the AI model needs an older version of PyTorch which is not prebuilt for CUDA 12.3. I just wanted to ask about the possibility of building from source.