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[GH-ISSUE #6685] AMD 7900XTX fails with "Could not initialize Tensile host: No devices found"
#29967
Closed
opened 2026-04-22 09:20:34 -05:00 by GiteaMirror
·
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Originally created by @svaningelgem on GitHub (Sep 7, 2024).
Original GitHub issue: https://github.com/ollama/ollama/issues/6685
Originally assigned to: @dhiltgen on GitHub.
What is the issue?
I installed the AMD drivers with https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/native-install/ubuntu.html ✔️
OS:
Ubuntu 24.04.1 LTSROCm:
ROCm version: 6.2.0CPU:
AMD Ryzen 9 7950X3DGPU:
Radeon RX 7900 XTXmodel:
llama3.1Started with:
docker run --gpus=all -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama:rocmThen tried to start llama3.1 with (I pulled it first successfully):
OLLAMA_DEBUG=1 ollama run llama3.1Log file:
ollama.log
It looks like it is detecting the GPU correctly at the start of the container, but somehow fails to use it?
OS
Linux
GPU
AMD
CPU
AMD
Ollama version
0.3.9
@svaningelgem commented on GitHub (Sep 7, 2024):
Other (closed) issues I found concerning similar behavior: #4798 , #6165 (but no real responses with a solution I could try in there)
@rick-github commented on GitHub (Sep 7, 2024):
What's the output of
ls -la /dev/kfd* /dev/dri*? Have you tried running the container with--deviceas mentioned in the docs?@svaningelgem commented on GitHub (Sep 7, 2024):
Ok, I tried it:
Output of the ls:
Output of the updated command:
2024-09-07.log
It looks the same to me as before at first glance tho.
@Froggy232 commented on GitHub (Sep 7, 2024):
Hi,
I'm in a very similar situation I think, except I use podman and fedora silverblue.
I have the same error messages, and also this one :
error="amdgpu version file missing: /sys/module/amdgpu/version stat /sys/module/amdgpu/version: no such file or directory"I run silverblue 41 beta, but I had the exact same problem few weeks ago on fedora silverblue 40. Running on the CPU image work well.
Thanks for your help!.
Edit : Sorry, in my case, it was from SELinux, I had to set
container_use_devicesto on.Thanks for your soft!
@dhiltgen commented on GitHub (Sep 9, 2024):
@svaningelgem do following these instructions resolve the issue, or is there something else preventing GPU access on your system?
@svaningelgem commented on GitHub (Sep 9, 2024):
Hi @dhiltgen , it seems to me that I don't need to force anything as my GPU is supported by default:
I also have only 1 gpu in my system (unless it sees my CPU also a a GPU, but I don't see that appearing in the logs).
rocminfo:
Full rocminfo output: rocminfo.log
@dhiltgen commented on GitHub (Sep 9, 2024):
@svaningelgem to clarify, the startup messages you're seeing are based on Ollama code looking in sysfs to discover the GPUs. This is different from performing inference where C++ code is using ROCm libraries to access the device directly. I don't have a system handy to test at the moment, but it's plausible SElinux may only be involved in the device access via ROCm, and not the sysfs discovery at startup. If you haven't tried those steps, I would give them a try so we can rule them out as a possible root cause.
@svaningelgem commented on GitHub (Sep 10, 2024):
SElinux is (afaik) a feature of Redhat linux systems. On Ubuntu it's AppArmor. That might interfer too, but I couldn't immediately find out anything there. It seems that if it would be blocked, it'd be just not being able to be reported. However, it does get reported as an AMD GPU... So that would lead me to conclude it's not blocked.
Could you maybe tell me what I can try and should iterate and I'll do this when I get back home? Maybe also tell me on how to enabled debug logging, as I don't see anything wrong till it just crashes with my initial message...
Because as far as I see, the gfx1100 should be fine. [FYI: Linux kernel patches]
Thanks!
@svaningelgem commented on GitHub (Sep 10, 2024):
Hmmm, I got this list from ChatGPT (so take it with a grain of salt as I couldn't verify the contents):
RDNA 3 (GFX1100 series)
RDNA 2 (GFX1030 series)
RDNA 1 (GFX1010 series)
Vega (GFX900 series)
Polaris (GFX803/804 series)
Navi 1X (GFX1010/1011)
Navi 2X (GFX1030/1031)
Navi 3X (GFX1100)
@svaningelgem commented on GitHub (Sep 10, 2024):
Ok, my current command line:
Failure log: 2024-09-10.log
I also tried with
"11.0.2"instead of"gfx1102", but that also got the same result.@svaningelgem commented on GitHub (Sep 10, 2024):
Ok, I used this auto-detection script:
But all of them failed...
What else could I try?
@TheRedCyclops commented on GitHub (Sep 10, 2024):
Have you tried with a system install? that worked for me, although it's not ideal
ps: this is also happening on Arch Linux without SELinux or AppArmor and using a GFX version that has been verified to work on other AI applications and on a system install of ollama, relevant discord thread
ps2: the --gpus all option only seems to be relevant for nvidia GPUs.
@svaningelgem commented on GitHub (Sep 10, 2024):
@Glich440 : no, not yet. I'll give it a try, but that's not really what I want to do... I'd like to run it from within a container.
I'll update this comment once I tried via a system install.
@dhiltgen commented on GitHub (Sep 10, 2024):
@svaningelgem you could try setting AMD_LOG_LEVEL to 2 or 3 and see if some more useful details emerge from ROCm. https://rocm.docs.amd.com/projects/HIP/en/latest/how-to/debugging.html#hip-environment-variable-summary
I'm also curious if this has regressed in newer versions of Ollama, or if all ~recent version fail in the same way.
@TheRedCyclops commented on GitHub (Sep 10, 2024):
I have also tested with the 0.3.7-rocm and 0.3.1-rocm tags, it fails in the same way
@dhiltgen commented on GitHub (Sep 10, 2024):
@Glich440 if you can identify which version it was working on for your setup that will help us isolate what changed and is leading to the regression.
@TheRedCyclops commented on GitHub (Sep 10, 2024):
on the native system it seems like it works with any version, I have never actually gotten the gpu to work with the docker container
@TheRedCyclops commented on GitHub (Sep 10, 2024):
I have now tested the 0.2.1-rocm tag and I get a slightly different error message, from:
Error: llama runner process has terminated: error:Could not initialize Tensile host: No devices foundto:
Error: llama runner process has terminated: signal: aborted (core dumped) error:Could not initialize Tensile host: No devices foundbut it still seems to be the same error
@TheRedCyclops commented on GitHub (Sep 10, 2024):
Wait, huge development, when I use this command
docker run -d --device /dev/kfd --device /dev/dri -v ollama:/root/.ollama -p 11434:11434 -e HSA_OVERRIDE_GFX_VERSION="10.3.0" --name ollama-test2 ollama/ollama:rocmit actually runs on the gpu!now I just don't understand why that works but this fails:
@svaningelgem commented on GitHub (Sep 10, 2024):
I do get indeed a little bit more info:
To me it doesn't seems useful, but I hope to you it does? ;-)
@svaningelgem commented on GitHub (Sep 10, 2024):
This is what is loaded inside the pod:
I was thinking that maybe the kernel module wasn't loaded, but that seems not the case.
@dhiltgen commented on GitHub (Sep 10, 2024):
@svaningelgem poking around online, it seems like the kfd driver might be involved. Anything interesting on the host in
sudo dmesg | grep kfd?@svaningelgem commented on GitHub (Sep 10, 2024):
Sorry mate... Not working at my side :( (the only thing i removed is the "-d" to not run it in the background)
I tried the exact same command, and ... nothing, still the same error.
@svaningelgem commented on GitHub (Sep 10, 2024):
@dhiltgen commented on GitHub (Sep 10, 2024):
It seems like it may be permissions related to the kfd device. Are you attempting to run deprivielged by any chance?
@dhiltgen commented on GitHub (Sep 10, 2024):
Try adding
--privilegedto thedocker runand see if that resolves it?@svaningelgem commented on GitHub (Sep 10, 2024):
Adding
--privilegedto the docker run command didn't solve anything. Still the same.I'm now trying with
sudoon top of the--privilegedcommand (but it seems to be copying the container to the root user, so it can take a while ;)).The command now is:
sudo docker run -e HSA_OVERRIDE_GFX_VERSION=11.0.0 -e AMD_LOG_LEVEL=3 -e OLLAMA_DEBUG=true --privileged --device /dev/kfd --device /dev/dri -v ollama:/root/.ollama -p 11434:11434 --replace --name ollama ollama/ollama:rocm@dhiltgen commented on GitHub (Sep 10, 2024):
I've been able to reproduce the same failure mode by running on a linux host after removing my account from
videoandrendergroups, so it seems like this is most likely a permission problem somewhere in the docker container runtime.We used to have a check at startup on ROCm system to verify permissions, but it seems that code got accidentally removed at some point in our GPU discovery refactoring work. I'll add a check back in so we can fail fast with a more helpful error message that permissions are not set up correctly for the
ollama servecommand to access the radeon device.@TheRedCyclops commented on GitHub (Sep 10, 2024):
I ended up using composerize and got this, it seems to work:
My issue is solved, hope you can solve it too @svaningelgem
@svaningelgem commented on GitHub (Sep 10, 2024):
@dhiltgen :
But indeed it seems to be pointing to a permission issue
@svaningelgem commented on GitHub (Sep 10, 2024):
Might it be an issue that on my machine I am running rocm6.2 & on the pod it's rocm6.0 ? I doubt, but you never know...
@rtaic-coder commented on GitHub (Sep 10, 2024):
I am wondering if this is because of rootless container. I get this error while running
rcominfoinside the container:I tried to add render,video,nogroup groups to the user running the ollama inside container.
@rtaic-coder commented on GitHub (Sep 10, 2024):
@svaningelgem I thought the same thing, so I built my own ollama image locally with rcom 6.2 but still giving me same error.
@svaningelgem commented on GitHub (Sep 10, 2024):
I get something more:
So to me it looks like the root user INSIDE the container needs to be a member of the video group?
Tried it with:
On the host, but that didn't change anything ;)
After:
usermod -aG video root, at least the warning went away:Still isn't right yet...
@rtaic-coder commented on GitHub (Sep 10, 2024):
@svaningelgem Since I am using
dev-ubuntu-24.04:6.2-completeas base of my image. Ubuntu hasnogroupas owner of DRM. So my error was about nogroup. So I add nogroup, video and render groups to root user inside container. So I don't get the group error rather only permission denied error.Bottom line it doesn't work.
@svaningelgem commented on GitHub (Sep 10, 2024):
A bit more info:
==> app armor is NOT enabled on my system, so that isn't interfering with anything either.
@dhiltgen commented on GitHub (Sep 10, 2024):
@svaningelgem it sounds like you're using podman. In that case try:
If that doesn't clear it up, there are some other suggestions on https://github.com/ROCm/ROCm/issues/1549 that might help you find a configuration that gets the permissions wired up correctly so the container can access /dev/kfd
Once we find the solution, I'll update our docs to include that as well.
@svaningelgem commented on GitHub (Sep 11, 2024):
This is from within the pod:
So it looks like the kfd device has a wrong user/group assigned. Checking now how I can make the "root" user part of it.
I also tried via subgid, but that didn't work out either. I'll try a little bit with base rocm images to see if things work out first and take it from there.
@svaningelgem commented on GitHub (Sep 11, 2024):
Ok, update: I tried with this command:
docker run -it --device=/dev/kfd --group-add daemon rocm/pytorch:latest rocminfoThis made it output stuff (and not the permission error anymore).
When I check the device in this pytorch image, I see this:
When I do the same in the ollama image, I get:
So to me it looks like there is something wrong with the user/group of this device inside the ollama image.
@TheRedCyclops commented on GitHub (Sep 11, 2024):
have you tried adding root to the bin group?
@svaningelgem commented on GitHub (Sep 11, 2024):
Well, today it showed as "bin", yesterday it was "65534"... But bin is wrong anyhow. It should be video or render I presume?
I also noticed that the API calls to the service are colored now, so likely it's a new rocm image.
Ok, rocminfo doesn't give the error anymore, but it's only showing the CPU, not the GPU...
@TheRedCyclops commented on GitHub (Sep 11, 2024):
Have you also forwarded /dev/dri?
and also what are the permisions and owner of /dev/kfd on your base system?
@svaningelgem commented on GitHub (Sep 11, 2024):
Yeah, I did notice that one as well:
So the smallest command line that works becomes:
In ollama:
on my base system:
And we have liftoff 🚀 !!
Used command line:
@svaningelgem commented on GitHub (Sep 11, 2024):
Thanks @dhiltgen , but could you maybe also add the group name of the driver, so you know what to
--group-add.You would assume
video, orrender. But in my case it was "bin" that was necessary.So it'd be advantageous to have this knowledge added already in the logs. And you don't have to bash into the pod to know that.
@rtaic-coder commented on GitHub (Sep 12, 2024):
In my case, owner of kfd device is 65534
So adding
bingroup doesn't really work.@svaningelgem commented on GitHub (Sep 12, 2024):
You can use
--group-add 65534, but that didn't do anything in my case. It really needs to be an available group.So the final fix for this would be to have it assigned to a group (like the tensorflow image I showed in my comment)
@svaningelgem commented on GitHub (Sep 12, 2024):
@rtaic-coder : as this ticket is closed, maybe reference it in another issue to raise awareness to your case?
@dhiltgen commented on GitHub (Sep 12, 2024):
I updated the troubleshooting section for AMD GPUs here - https://github.com/ollama/ollama/blob/main/docs/troubleshooting.md#amd-gpu-discovery
My understanding was the
--group-addneeded to match the group of the device on the host, not inside the container. Is that not the case? Is there some mapping taking place in these deprivileged scenarios where GID on the host differs from the GID inside the container?@svaningelgem commented on GitHub (Sep 20, 2024):
@dhiltgen , no, the
--group-addhad to match the group of the device inside the container. Which is kind of logical when you think about it: the container is its own system, and has a certain rights to the file. The rights on the host does not really matter in that case, because the pod is separated from it.I think the underlying issue is: why is the group-name not the same for the pod and the host? (as demonstrated with the pytorch pod above, they have a fixed "daemon" group in place, whereas it seems ollama's one is kind of dynamic...)
@dhiltgen commented on GitHub (Sep 24, 2024):
@svaningelgem can you try using the numeric group ID instead of the name? On your host
ls -n /dev/kfd /dev/dri/renderD128should show it.This is somewhat similar to #5986
@rtaic-coder commented on GitHub (Sep 26, 2024):
I ended up switching from rootless docker to sudo docker since I spent countless hour to make is work in rootless scenario no matter what I do it give the same error in rootless. Thanks for all the help.