Using dunfell 32.5.0

[tirankas]

Hello,
I am trying to build the new jetpack 4.5 using the dunfell 32.5.0 branch fr meta tegra.
I don't understand the dependency on the other external layers like poky, virtualization, openembedded etc.
In the previous dunfell version these meta layers had a dedicated tag so everything was aligned, I checked out the same branch on each of these layers.
But for the new branch (32.5.0) there is no such tag on these layers and every tag/master I select j get incompatibility issues.

Is there a known setup that should work out of the box or I need to manually update compatibilities in each layer?

Thanks

[madisongh]

In the previous dunfell version these meta layers had a dedicated tag so everything was aligned

I'm not sure what you mean by this, but as the branch name implies, you should use the dunfell branch for any other layers you include. We do have a demo distro setup that includes a bunch of layers as git submodules. It has a dunfell-l4t-r32.5.0 branch with all of the layers set appropriately, and it gets updated fairly often.

[tirankas]

Thanks for the prompt reply.
I am picking the meta-tegra from dunfell-l4t-r32.5.0 branch.
I still need to clone the following:
git clone -b ${BRANCH} git://git.yoctoproject.org/poky.git poky-${BRANCH}
git clone https://git.yoctoproject.org/git/meta-virtualization
git clone https://git.openembedded.org/meta-openembedded

These three layers have no dunfell-l4t-r32.5.0 branch.
Should I clone these repos with the dunfell branch (and not the dunfell-l4t-r32.5.0)?

Thanks

[ichergui]

Hey @tirankas

Please check here
you can find all repo you need

[madisongh]

To answer your question:

Should I clone these repos with the dunfell branch (and not the dunfell-l4t-r32.5.0)?

Yes.

[ichergui]

Hello,
I am trying to build the new jetpack 4.5 using the dunfell 32.5.0 branch fr meta tegra.
I don't understand the dependency on the other external layers like poky, virtualization, openembedded etc.
In the previous dunfell version these meta layers had a dedicated tag so everything was aligned, I checked out the same branch on each of these layers.
But for the new branch (32.5.0) there is no such tag on these layers and every tag/master I select j get incompatibility issues.

Is there a known setup that should work out of the box or I need to manually update compatibilities in each layer?

Thanks

As @madisongh suggest, please use the tegra-demo-distro repo
Let us know if you need help.

[tirankas]

Thanks guys, this really helped out!
I tried with the tegra demo distro as suggested and I see this:
. ./setup-env --machine jetson-nano-devkit
Error: TEMPLATECONF value points to non existence directory meta-poky/conf

I will try the usual way of manually cloning repos and build.

Thanks

[ichergui]

Please try with the following commands

$ git clone https:/OE4T/tegra-demo-distro.git
$ cd tegra-demo-distro
$ git checkout origin/dunfell-l4t-r32.5.0 -b dunfell-l4t-r32.5.0
$ git submodule update --init --recursive 
$ unset NVIDIA_DEVNET_MIRROR                                    
$ export NVIDIA_DEVNET_MIRROR="/PATH/TO/JETSON_NANO/nvidia/sdkm_downloads"
$ . ./setup-env --machine jetson-nano-devkit --distro tegrademo build_jetson_nano

You should see the following result:

You had no conf/local.conf file. This configuration file has therefore been
created for you with some default values. You may wish to edit it to, for
example, select a different MACHINE (target hardware). See conf/local.conf
for more information as common configuration options are commented.

You had no conf/bblayers.conf file. This configuration file has therefore been
created for you with some default values. To add additional metadata layers
into your configuration please add entries to conf/bblayers.conf.

The Yocto Project has extensive documentation about OE including a reference
manual which can be found at:
    http://yoctoproject.org/documentation

For more information about OpenEmbedded see their website:
    http://www.openembedded.org/

### Shell environment set up for builds. ###

You can now run 'bitbake <target>'
Targets for building Tegra demo images with test applications:
    core-image-minimal  - minimally bootable image (no demo apps, no graphics)
    demo-image-base     - basic image with no graphics
    demo-image-egl      - basic image with DRM/EGL, no window manager
    demo-image-sato     - X11 image with 'sato' UI
    demo-image-weston   - Wayland with Weston compositor
    demo-image-full     - X11/sato UI plus docker, openCV, multimedia API samples

Your build environment has been configured with:
    MACHINE=jetson-nano-devkit
    DISTRO=tegrademo
    NVIDIA_DEVNET_MIRROR=file:///PATH/TO/JETSON_NANO/nvidia/sdkm_downloads"

After this, you can trig a build .e.g. $ bitbake demo-image-base

[tirankas]

Thanks, I ended up doing something similar which should work as your suggestion.
I am a bit confused now. The tegra dunfell 32.5.0 suppose to support the jetpack 4.5 but from the last reply I see that NVIDIA_DEVNET_MIRROR points to jetpack_4.4.1.
Is 4.5 supported or 4.4.1?

Thanks

[ichergui]

My bad
It was copy/paste issue.
You should use Jetpack 4.5 for tegra-demo-distro repo - branch dunfell-l4t-r32.5.0.

[ichergui]

Hey @tirankas

Could you please give us updates about your issue ?

Hopefully, all good in your side