Pytorch(Cuda is False) is for Jetpack 6.1 on Jetson Orin Agx

I am struggling with install Pytoch and torchvision for latest Jetpack 6.1 on Jetson Orin AGX Developer Kit.
I am working with yolo and it runs with cpu but I need cuda support with pytorch.
Please, Can anyone help me with step by step guides.
Thank you!

dalab@ubuntu:~/vision$ python
Python 3.10.12 (main, Nov 6 2024, 20:22:13) [GCC 11.4.0] on linux
Type “help”, “copyright”, “credits” or “license” for more information.

import torch
print(“CUDA Available:”, torch.cuda.is_available())
CUDA Available: False
print(“Device Name:”, torch.cuda.get_device_name(0) if torch.cuda.is_available() else “CUDA not available”)
Device Name: CUDA not available
x = torch.rand(3, 3).cuda()
Traceback (most recent call last):
File “”, line 1, in
File “/home/dalab/.local/lib/python3.10/site-packages/torch/cuda/init.py”, line 310, in _lazy_init
raise AssertionError(“Torch not compiled with CUDA enabled”)
AssertionError: Torch not compiled with CUDA enabled
print(“Tensor on GPU:”, x)
Traceback (most recent call last):
File “”, line 1, in
NameError: name ‘x’ is not defined
exit()
dalab@ubuntu:~/vision$ cd …
dalab@ubuntu:~$ python3 -c “import torchvision; print(torchvision.version)”
0.20.1
dalab@ubuntu:~$ python3 -c “import torch; print(torch.version); print(torch.cuda.is_available())”
2.5.1
False
dalab@ubuntu:~$

This post has a link to Pytorch 2.5 wheel that was built with Cuda 12.6. This worked for me.

Yes as whitesscott suggest please download prebuilt wheel from this website.

You could also refer to this doc to get more information about YoloV11 using Pytorch.
https://elinux.org/Jetson/L4T/TRT_Customized_Example#YoloV11_using_Pytorch

Thanks

Thanks.
However, I address this issue already. I built TorchVision from source code on GitHub .
And I posted one documentation on GitHub to guide others who is struggling just like me.