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L4T R32.4.2 Notes
As of 30 Apr 2020, the master and dunfell-l4t-r32.4.2 branches support L4T R32.4.2/JetPack 4.4 Developer Preview content for Jetson TX1, Jetson TX2, Jetson Nano, and Jetson AGX Xavier. Experimental support for
Jetson Xavier NX (eMMC module in Jetson Nano B01 carrier) is also present.
As of 12 Jul 2020, L4T R32.4.3/JetPack 4.4 GA is available on the master branch. R32.4.2/4.4 DP should not be used for new development.
NVIDIA has upstreamed all of their U-Boot changes, so the u-boot-tegra recipe is now based off the upstream
U-Boot repository, instead of NVIDIA's. NVIDIA has not yet created a separate U-Boot configuration for
the Nano eMMC (sku 0002) module, so patches have been added for it, as was done for R32.3.1.
JetPack 4.4 DP updates CUDA to version 10.2, which is compatible with GCC 8. Recipes for building
the GCC 8 toolchain have been added to the meta-tegra/contrib layer.
With NVIDIA now providing direct package feeds for their L4T/JetPack OTA updates, recipes have been updated to use those feeds where possible. The host-side CUDA toolkit must still be downloaded using the SDK Manager, as before.
If you ran the SDK Manager on Ubuntu 16.04 to download the CUDA host-side tools, you should add the following setting to your build configuration:
CUDA_BINARIES_x86-64 = "cuda-binaries-ubuntu1604"
By default, the recipes assume you used Ubuntu 18.04 and reference that version of the CUDA host-side tools.
The kernel (linux-tegra) recipe has been changed to generate the default configuration from the arch/arm64/configs/tegra_defconfig file in the source tree, rather than including the full kernel
configuration as a defconfig file. If you have a customized kernel configuration and were overriding
the default configuration by supplying your own defconfig file, you will either need to convert your
modifications into config fragment files (see the YP Linux Kernel Dev Manual for documentation), or use a .bbappend file to add your defconfig file back into the SRC_URI.