Slurm multi nodes cluster installation failure #1179
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@ajdecon |
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In the run log, during the driver install, I'm seeing an error that looks like this: So the run appears to have failed due to not being able to import the upstream EPEL GPG key for RHEL-8 compatible systems. I'll try kicking off a test run for this on my end and see if I can duplicate the issue. |
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@ajdecon , thanks will wait for update |
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@karanveersingh5623 : my test today on a RHEL-8 compatible system failed to reproduce the issue. Since the error related to an external resource on the Fedora site, this hopefully means they have fixed it. :) Can you retry? |
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@ajdecon: I am retrying now but i guess its some ansible issue . Also very strange behavior , I removed the current slurm master host from inventory file and just added my 2nd node i.e [adas-ml-2] to it , still playbook runs tasks on 1st node i.e. [ adas-ml] .....couldn't understand this behaviour |
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@ajdecon , it still failed , why my 2nd node " adas-ml-2" , not getting into any slurm installation tasks , only it shows up in starting tasks |
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Based on the play recap, it looks like a task failed very early in the run. Can you share your full log, starting from the ansible-playbook command? Preferably in a Github gist since this will be very long. |
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@ajdecon , please refer full log with verbose https://gist.github.com/karanveersingh5623/7ac08cd89e36320630399c028dfc6dd7 |
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Hmm. This is the failure I see early in the log: Which is the same failure we saw previously. So it looks like this host is still failing to download the Fedora project GPG key. However, a test on my local machine shows that this URL exists: And our automated tests running through Github Actions still succeed. Can you try running |
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@karanveersingh5623 : It looks like the host is failing to download the Based on the timeout message, this is probably still some sort of network configuration issue on the host in question. I'd recommend testing using the Just as a tip, you can generally identify failing Ansible tasks by searching for lines which start with |
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@ajdecon , yea i am switching to another open network in my office , just another question |
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@ajdecon Also when I just use single node with SRUN command , processes runs successfully |
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@ajdecon , was able to fix the above but it failed at below mentioned trace . |
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@avolkov1 @yangatgithub : When you have time, can one of you make suggestions for the error above? I think you've got the most familiarity with the Slurm NCCL test right now. |
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Sorry, I'm a bit busy at the moment, but I will follow up on this as soon as I can. That container I'll follow up and let you know how to update the container so it works with UCX. |
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Or you can try with a newer container: "deepops/mpi-nccl-test:latest", (https://hub.docker.com/r/deepops/mpi-nccl-test) with the command path "/nccl_tests/build/all_reduce_perf". I just tried on another slurm cluster with UCX and it worked.
From: avolkov1 ***@***.***>
Sent: Tuesday, June 21, 2022 11:54 AM
To: NVIDIA/deepops ***@***.***>
Cc: yangatgithub ***@***.***>; Mention ***@***.***>
Subject: Re: [NVIDIA/deepops] Slurm multi nodes cluster installation failure (Issue #1179)
Sorry, I'm a bit busy at the moment, but I will follow up on this as soon as I can.
That container deepops/nccl-tests-tf20.06-ubuntu18.04:latest is pretty old and probably does not have the right UCX configuration in it. You can try to run it like this without UCX and HCOLL:
srun \
…--export="NCCL_DEBUG=INFO,OMPI_MCA_pml=^ucx,OMPI_MCA_coll=^hcoll" \
-N 2 \
--ntasks-per-node=8 \
--gpus-per-task=1 \
--exclusive \
--mpi=pmix_v3 \
--container-image=deepops/nccl-tests-tf20.06-ubuntu18.04:latest \
all_reduce_perf -b 1M -e 4G -f 2 -g 1
I'll follow up and let you know how to update the container so it works with UCX.
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Yes, use a newer container: To build a new container: Then run as: |
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@ajdecon , playbook always fails on Nvidia-drivers gpg signature check , where I can disable this check ? |
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@ajdecon |
@avolkov1 @yangatgithub , I tried the latest image of NCCL test but it failed with below error , please let me know further steps or what is the issue as my compute node has latest cuda 11.7 and 2 X A100 GPUs |
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@karanveersingh5623 note that the parameter |
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Yeah, that looks like an enroot bug/oversight. I hope that's resolved in a sensible manner, otherwise I guess use Depending on application this will vary. With NCCL tests you can specify That will start 1 enroot container process on each node with all GPUs visible ( The Otherwise (and IMO more sensibly per typical Slurm + MPI workloads) try running like this: |
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@itzsimpl @avolkov1 , thanks guys for helping out but i cannot run using 2 nodes , below is the output from single node passing validation and 2 nodes failing . Please let me know if more info required . The last cmd stuck and was not running further , so I have to scancel the job . |
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Try not running as root. Is there a shared file system between the nodes? Ideally your home directory is a shared file system and it's mounted on all the nodes. |
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This issue is stale because it has been open for 60 days with no activity. Please update the issue or it will be closed in 7 days. |
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HI Team
I am using two nodes to deploy a slurm cluster and its failing , not able to get any verbose details , earlier I tested with single node and everything comes up , validation playbook succeeded in single node slurm GPU cluster !!!
Below are details of my two nodes inventory file and attached are screenshots of sinfo , scontrol and run.log ( verbose details of installation playbook:
run.log
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