scottk/meta-tegra
1
0
Fork 0
mirror of https://github.com/lingble/meta-tegra.git synced 2025-10-30 20:07:55 +00:00
Code Issues Packages Projects Releases Wiki Activity

README.md: update for JetPack 6.0/L4T R36.3.0

Browse Source 
Signed-off-by: Matt Madison <matt@madison.systems>
This commit is contained in:
Matt Madison
2024-05-31 09:58:57 -07:00
parent ec308c582f
commit b4aa81e7c6
1 changed files with 3 additions and 10 deletions
Download Patch File Download Diff File Expand all files Collapse all files

13
README.md
View File

@@ -1,23 +1,16 @@
OpenEmbedded/Yocto BSP layer for NVIDIA Jetson Modules OpenEmbedded/Yocto BSP layer for NVIDIA Jetson Modules
====================================================== ======================================================
Jetson Linux release: R35.5.0 Jetson Linux release: R36.3.0
JetPack release: 5.1.3 JetPack release: 6.0
Boards supported: Boards supported:
* Jetson AGX Xavier development kit
* Jetson Xavier NX Development Kit
* Jetson Xavier NX eMMC module in dev kit or Nano carrier board
* Jetson AGX Orin development kit * Jetson AGX Orin development kit
* Jetson Orin NX 16GB (p3767-0000) in Xavier NX (p3509) carrier * Jetson Orin NX 16GB (p3767-0000) in Xavier NX (p3509) carrier
* Jetson Orin NX 16GB (p3767-0000) in Orin Nano (p3768) carrier * Jetson Orin NX 16GB (p3767-0000) in Orin Nano (p3768) carrier
* Jetson Orin Nano development kit * Jetson Orin Nano development kit
* Jetson AGX Orin Industrial 64GB (P3701-0008) in Orin AGX (P3737) carrier * Jetson AGX Orin Industrial 64GB (P3701-0008) in Orin AGX (P3737) carrier
Community supported:
* Clara AGX development kit
* Jetson AGX Xavier Industrial
This layer depends on: This layer depends on:
URI: git://git.openembedded.org/openembedded-core URI: git://git.openembedded.org/openembedded-core
branch: master branch: master
@@ -27,7 +20,7 @@ LAYERSERIES_COMPAT: scarthgap
CUDA toolchain compatibility note CUDA toolchain compatibility note
--------------------------------- ---------------------------------
CUDA 11.4 supports up through gcc 10 only, so recipes are included CUDA 12.2 supports up through gcc 12 only, so recipes are included
for adding the gcc 10 toolchain to the build for CUDA use, and `cuda.bbclass` for adding the gcc 10 toolchain to the build for CUDA use, and `cuda.bbclass`
has been updated to pass the g++ 10 compiler to nvcc for CUDA code compilation. has been updated to pass the g++ 10 compiler to nvcc for CUDA code compilation.