lwc:hardware:jetson

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Jetson

seeedstudio reComputer 3011 and 4012 (and probably others)

  • do not try to update with seeedstudio's firmware. It's not updateable after that
  • instead use sdkmanager from nvidia:
    • do manual install. Automatic will try to update the seeedstudio stuff which will fail
    • manual install requires forced recovery mode which requires a USB connection
      • to do forced recovery with unit unplugged:
        • use a paper clip to press the recovery button
        • while pressing the recovery button apply power
    • attach USB cable to “device port.” For USB the cable used matters. I had luck using usbc ←→ usbc. Using usba ←→ usbc failed
    • 1/2 way through the install process, sdkmanager will want to reconfirm/switch how host is communicating to the target. At this point the target is booted into the new OS
    • at that point I switched to ethernet as both units were connected to my router. I'm not sure if sticking with usb might have worked or would have been faster

Installing pyTorch

corrected from: https://docs.nvidia.com/deeplearning/frameworks/install-pytorch-jetson-platform/index.html)

  • install jetpack. (This is not the same as installing the OS for Jetson): sudo apt install nvidia-jetpack
  • get version of CUDA: nvcc --version
  • install cusparselt:
wget raw.githubusercontent.com/pytorch/pytorch/5c6af2b583709f6176898c017424dc9981023c28/.ci/docker/common/install_cusparselt.sh 
sudo -s # set CUDA version and install as root
export CUDA_VERSION=12.1 # as an example. Use the version returned from ''nvcc --version''
bash ./install_cusparselt.sh
  • lwc/hardware/jetson.1741141006.txt.gz
  • Last modified: 2025/03/04 20:16
  • by John Harrison