Skip to content

JetPack 5.0.2 L4T R35.1.0 Notes

Jump to bottom Edit New page
Matt Madison edited this page Aug 23, 2022 · 7 revisions

As of 23 Aug 2022, the wip-jetpack-5-ga branch is under active development for merging support for this version of JetPack/L4T into master. Please use the jetpack-5-test channel for discussions, and to help with validating the integration.

Changes from L4T R32.7.2/JetPack 4.6.2

This is a major update to L4T and JetPack which adds support for the Jetson AGX Orin modules and removes support for all other Jetson modules except for the Jetson AGX Xavier and Jetson Xavier NX series.

NVIDIA documentation:

Machine changes

The only Jetson modules supported in this release (and future releases) are:

  • Jetson AGX Orin series
  • Jetson AGX Xavier series
  • Jetson Xavier NX series

BSP changes

  • The cboot bootloader has been replaced by UEFI. You can use either NVIDIA's prebuilt copy, or build it from source.
  • The device tree plugin manager, which was a cboot feature, is no longer supported. To dynamically modify the device tree (e.g., for camera configuration), you must configure a device tree overlay instead.
  • Bootloader updating and redundancy behaves differently than with earlier L4T releases. See the L4T documentation for details.
  • The Linux kernel has been updated to 5.10.104. The repository used in the layer for this new kernel is here.
  • The trusty trusted OS has been replaced by OP-TEE.
  • Open-source display driver (AGX Orin series only).
  • The OpenMAX gstreamer plugin (gstreamer1.0-omx-tegra), which has been deprecated since L4T R32.1.0, is no longer supported.
  • Improved support for Wayland/Weston via the EGL-GBM backend interface.
  • Container support now defaults to a smaller set of libraries passed through from the host to the container.

Kernel changes

Besides the upgrade to the Linux 5.10 LTS kernel as a base, the new default kernel configuration for Jetson devices builds far more features and drivers as modules, rather than building them into the kernel itself. If you have recipes that depend on specific kernel features/drivers, you may need to add RRECOMMENDS settings to ensure that the necessary modules get installed into your rootfs image.

JetPack changes

  • CUDA updated to 11.4.
  • New versions of cuDNN, TensorRT, VPI.
  • libvisionworks is no longer supported.

DeepStream SDK

As of this writing, an updated version of the DeepStream SDK that supports JetPack 5.0.2 has not yet been released.

Add a custom footer
Add a custom sidebar
Clone this wiki locally