Hello,
I’m very frustrated ‘cause after updating Jetson Orin Nano on latest Jetpack can’t instal proper working versin of PyTorch. I even think that PyTorch is instaled but Pyton cant use (find) it.
In directory usr/local/cuda-12.6/targets/aarch64-linux/lib I have libcusparseLt.so.12 and and symbolic links
libcusparse.so.12 (libc6,AArch64) => /usr/local/cuda/targets/aarch64-linux/lib/libcusparse.so.12
libcusparse.so (libc6,AArch64) => /usr/local/cuda/targets/aarch64-linux/lib/libcusparse.so
But simple code:
python3 -c “import torch; print(‘Torch:’, torch.version ); print(‘CUDA available:’, torch.cuda.is_available()); print(‘GPU:’, torch.cuda.get_device_name(0) if torch.cuda.is_available() else ‘None’); print(‘cuDNN:’, torch.backends.cudnn.version())”
says: GPU: None
Where to find and how to install proper version of PyTorch.
Thanks.
Simon
elsaco
October 18, 2025, 5:46pm
4
@simon.pogorelcnik download a wheel from jp6/cu129 index . There are two versions availablecp310 and cp312
This is what I’m using:
Torch: 2.8.0
CUDA available: True
GPU: Orin
cuDNN: 90300
Don’t install torch from a Ubuntu repo.
Thank you very much. I will try this week.
One more question: Is it better to install also proper version of torchvision & torchaudio .
I would like to start playing with simple project with YOLO8 models and object recognition and classification.
Do I need any more compatible tools to use this kind of model?
Thank you for your kind answer.
Regards.
Hi,
Please refer to the following download center for torchvision and torchaudio packages:
Thank you.
Hi,
I’m tottaly stuck… I did:
Remove OLD CPU version:
sudo pip uninstall torch torchvision torchaudio -y
pip uninstall torch torchvision torchaudio -y
sudo rm -rf /usr/local/lib/python3.10/dist-packages/torch*
sudo rm -rf ~/.local/lib/python3.10/site-packages/torch*
sudo rm -rf ~/.cache/torch
Check: python3 -m pip show torch
Torch not found
Clean Install from:
pip install torch torchvision torchaudio --extra-index-url jp6/cu126 index
Check with:
python3 -c “import torch; print(‘Torch:’, torch.version ); print(‘CUDA available:’, torch.cuda.is_available()); print(‘GPU:’, torch.cuda.get_device_name(0) if torch.cuda.is_available() else ‘None’); print(‘cuDNN:’, torch.backends.cudnn.version())”
Result:
Torch: 2.9.0+cpu
Path: /usr/local/lib/python3.10/dist-packages/torch/init .py
CUDA available: False
GPU: None
cuDNN: None
Please help. Tnx
Hi,
It is recommended to perform a full flash and install the jp6/cu126 index package.
Thanks
Yes. I did.. and it’s running. Thank you.
system
Closed
November 4, 2025, 8:48am
12
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