mirror of
https://github.com/lingble/meta-tegra.git
synced 2025-10-29 11:32:30 +00:00
79 lines
2.8 KiB
Plaintext
79 lines
2.8 KiB
Plaintext
OpenEmbedded/Yocto BSP layer for NVIDIA Tegra X1/X2/AGX/K1
|
|
==========================================================
|
|
|
|
Boards supported:
|
|
* Jetson-TX1 development kit (Linux4Tegra R32.2.1, JetPack 4.2.2
|
|
* Jetson-TX2 development kit (Linux4Tegra R32.2.1, JetPack 4.2.2)
|
|
* Jetson AGX Xavier development kit (Linux4Tegra R32.2, JetPack 4.2.2)
|
|
* Jetson Nano development kit (Linux4Tegra R32.2.1, JetPack 4.2.2)
|
|
|
|
Also supported:
|
|
* Jetson-TX2i module (Linux4Tegra R32.2.1, JetPack 4.2.2)
|
|
* Jetson-TX2 4GB module (Linux4Tegra R32.2.1, JetPack 4.2.2)
|
|
|
|
This layer depends on:
|
|
URI: git://git.openembedded.org/openembedded-core
|
|
branch: master
|
|
LAYERSERIES_COMPAT: warrior
|
|
|
|
|
|
PLEASE NOTE
|
|
-----------
|
|
|
|
* Starting with JetPack 4.2, packages outside the L4T BSP can
|
|
only be downloaded with an NVIDIA Developer Network login.
|
|
So to use CUDA 10, cuDNN, and any other packages that require
|
|
a Devnet login, you **must** create a Devnet account and
|
|
download the JetPack packages you need for your builds using
|
|
NVIDIA SDK Manager.
|
|
|
|
You must then set the variable NVIDIA_DEVNET_MIRROR to
|
|
"file://path/to/the/downloads" in your build configuration
|
|
(e.g., local.conf) to make them available to your bitbake
|
|
builds.
|
|
|
|
* The SDK Manager downloads a different package of CUDA host-side
|
|
tools depending on whether you are running Ubuntu 16.04
|
|
or 18.04. If you downloaded the Ubuntu 16.04 package, you
|
|
should add
|
|
|
|
CUDA_BINARIES_NATIVE = "cuda-binaries-ubuntu1604-native"
|
|
|
|
to your build configuration so the CUDA recipes can find
|
|
them. Otherwise, the recipes will default to looking for
|
|
the Ubuntu 18.04 package.
|
|
|
|
* The tensorrt 5.1.6 packages for Xavier are different from
|
|
those for TX1/TX2, even though the deb files have the same
|
|
name. If you need to build for Xavier and another platform
|
|
and include tensorrt 5.1.6, create a subdirectory called
|
|
"P2888" under your NVIDIA_DEVNET_MIRROR directory, and copy
|
|
the Xavier tensorrt packages there. The non-Xavier copies
|
|
should go in the NVIDIA_DEVNET_MIRROR top level.
|
|
|
|
* CUDA 10 supports up through gcc 7 only, and some NVIDIA-provided
|
|
binary libraries appear to be compiled with g++ 7 and cause linker
|
|
failures when building applications with g++ 6, so **only** gcc 7
|
|
should be used if you intend to use CUDA.
|
|
|
|
|
|
Selecting the toolchain version
|
|
-------------------------------
|
|
|
|
Toolchain version selection is usually a distro configuration setting,
|
|
but you can also set this in your build/conf/local.conf file. To use
|
|
gcc 7 instead of gcc 8, set:
|
|
|
|
GCCVERSION = "7.%"
|
|
|
|
but you will also need the gcc 7 toolchain recipes in one of your layers,
|
|
since it was retired from OE-Core in favor of gcc 8.
|
|
|
|
|
|
Contributing
|
|
------------
|
|
|
|
Please use GitHub (https://github.com/madisongh/meta-tegra) to submit
|
|
issues or pull requests, or add to the documentation on the wiki.
|
|
Contributions are welcome!
|