This may be the same as the title below…
JetPack 6.2 Brings Super Mode to NVIDIA Jetson Orin Nano and Jetson Orin NX
But I don’t use Super Mode so I created a new topic.
JetPack 6.2 Brings Super Mode to NVIDIA Jetson Orin Nano and Jetson Orin NX
I had installed JetPack 6.2 on Jetson Orin Nano.
I tried to install PyTroch for Jetson but the PyTorch did not run on Jetson Orin nano.
I had installed JetPack 6.2 on Jetson Orin Nano.
How do I properly install PyTorch to run on the GPU?
JetPack 6.2
R36 (release), REVISION: 4.3, GCID: 38968081, BOARD: generic, EABI: aarch64, DATE: Wed Jan 8 01:49:37 UTC 2025
KERNEL_VARIANT: oot
TARGET_USERSPACE_LIB_DIR=nvidia
TARGET_USERSPACE_LIB_DIR_PATH=usr/lib/aarch64-linux-gnu/nvidia
cuda 12.6
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2024 NVIDIA Corporation
Built on Wed_Aug_14_10:14:07_PDT_2024
Cuda compilation tools, release 12.6, V12.6.68
Build cuda_12.6.r12.6/compiler.34714021_0
-
I downloaded and installed it from the following page, but an error occurs when I run it.
https://developer.download.nvidia.com/compute/redist/jp/v60/pytorch/
torch-2.4.0a0+07cecf4168.nv24.05.14710581-cp310-cp310-linux_aarch64.whl
torch-2.4.0a0+3bcc3cddb5.nv24.07.16234504-cp310-cp310-linux_aarch64.whl
torch-2.4.0a0+f70bd71a48.nv24.06.15634931-cp310-cp310-linux_aarch64.whl
Successfully installed torch-2.4.0a0+07cecf4168.nv24.5
(myenv) jetson@ubuntu:~/sensor$ python3
Python 3.10.12 (main, Jan 17 2025, 14:35:34) [GCC 11.4.0] on linux
Type “help”, “copyright”, “credits” or “license” for more information.
>>> import torch
Traceback (most recent call last):
File “”, line 1, in
File “/home/jetson/sensor/myenv/lib/python3.10/site-packages/torch/init.py”, line 237, in
from torch._C import * # noqa: F403
ImportError: /usr/lib/aarch64-linux-gnu/libcudnn.so.8: version `libcudnn.so.8’ not found (required by /home/jetson/sensor/myenv/lib/python3.10/site-packages/torch/lib/libtorch_python.so) -
I thought about using Docker container, but it doesn’t seem to work with JetPack12.6.
NVIDIA L4T PyTorch | NVIDIA NGC
JetPack 5.1 (L4T R35.2.1)
JetPack 5.0.2 (L4T R35.1.0)
JetPack 5.0.1 Developer Preview (L4T R34.1.1)
JetPack 5.0.0 Developer Preview (L4T R34.1.0)
JetPack 4.6.1 (L4T R32.7.1)
JetPack 4.6 (L4T R32.6.1)
JetPack 4.5 (L4T R32.5.0)
JetPack 4.4.1 (L4T R32.4.4)
JetPack 4.4 (L4T R32.4.3)
JetPack 4.4 Developer Preview (L4T R32.4.2) -
There seems to be a way to build PyTorch from source code on Jetson Orin Nano.
I tried it, however an error occurred during the build…