Enhancement request - AArch64 support about docker-nvidia-egl-desktop HOT 13 OPEN

Possible. Just no hardware and time.

1. Compiling GStreamer for AARCH64 (addons/gstreamer)
2. Add nvv4l2h264enc/nvv4l2vp9enc and test
3. Verify all the pipeline works
   Would be trivial for newbies.

https://docs.nvidia.com/jetson/archives/r35.2.1/DeveloperGuide/text/SD/Multimedia/AcceleratedGstreamer.html

Nicholas Dufresne (ndufresne) at #gstreamer IRC oftc.net should be experienced in this regard.

from docker-nvidia-egl-desktop.

The above list is for https://github.com/selkies-project/selkies-gstreamer: selkies-project/selkies-gstreamer#50.

For the container itself, it needs to detect the architecture with TARGETPLATFORM (https://nielscautaerts.xyz/making-dockerfiles-architecture-independent.html) and do not install :i386 packages if so and install the ARM version of VirtualGL

Everything I listed must be tested.

from docker-nvidia-egl-desktop.

Am thinking if we make this architecture independent that will have a knock on effect on your tags. Maybe multiple tags for i386?

FROM ghcr.io/selkies-project/nvidia-egl-desktop:22.04

The above should still work with the assumption it is i386

FROM ghcr.io/selkies-project/nvidia-egl-desktop:i386-22.04 or FROM ghcr.io/selkies-project/nvidia-egl-desktop:amd64-22.04

And maybe for arm8 we add

FROM ghcr.io/selkies-project/nvidia-egl-desktop:aarch64-20.04

But in nvidia jetson land there are different Jetpack releases and getting cuda to work is much better if the underlying platform matches so things could end up looking like

FROM ghcr.io/selkies-project/nvidia-egl-desktop:aarch64-l4t-r35.1.0-20.04

or as the jetpack sets the Ubuntu release maybe

FROM ghcr.io/selkies-project/nvidia-egl-desktop:aarch64-l4t-r35.1.0

Any thoughts or preferences?

from docker-nvidia-egl-desktop.

I will make initial preparations to make aarch64 work trivially. I do need tests from actual aarch64 hardware and therefore your help by testing things.

from docker-nvidia-egl-desktop.

Cool - I can test on latest 20:04 Jetpack and 18:04 Jetson Nano if useful. 22:04 Jetpack is not due for release until autumn

from docker-nvidia-egl-desktop.

I now have the hardware, at least for plain ARM64.

from docker-nvidia-egl-desktop.

👍

from docker-nvidia-egl-desktop.

selkies-project/selkies-gstreamer#50

This is not a small work... Expect some time.

from docker-nvidia-egl-desktop.

I am doing some initial cleanup so that the Dockerfile and the entrypoint scripts are not reliant on just the x86_64 architecture. However, this is just the start and there are a lot more hurdles remaining.

from docker-nvidia-egl-desktop.

Preparing...

Note to self: (VirtualGL 3.1.1 arm64)

-rw-r--r-- root/root      4739 2022-11-22 19:21 ./usr/share/doc/virtualgl-3.0.90/somerights20.png
-rwxr-xr-x root/root   2398936 2022-11-22 19:47 ./usr/lib/libvglfaker-nodl.so
-rwxr-xr-x root/root     10312 2022-11-22 19:46 ./usr/lib/libgefaker.so
-rwxr-xr-x root/root   2403128 2022-11-22 19:47 ./usr/lib/libvglfaker.so
-rwxr-xr-x root/root     14528 2022-11-22 19:46 ./usr/lib/libdlfaker.so

from docker-nvidia-egl-desktop.