docker: Error response from daemon: failed to create shim task: OCI runtime create failed: runc create failed #230
Comments
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chmod +x backend/docker/entrypoints/entrypoint.sh |
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Hi @apk29 Thanks for your response!
I did not find the file anywhere on my system. Is there supposed to be a default |
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Sorry, I just typed it in terminal.
Perry
…________________________________
From: Julius Hülsmann ***@***.***>
Sent: Monday, December 5, 2022 2:52 AM
To: NVIDIA/nvidia-docker ***@***.***>
Cc: Perry K ***@***.***>; Mention ***@***.***>
Subject: Re: [NVIDIA/nvidia-docker] docker: Error response from daemon: failed to create shim task: OCI runtime create failed: runc create failed (Issue NVIDIA/nvidia-container-toolkit#230)
Hi @apk29<https://github.com/apk29>
Thanks for your response!
chmod +x backend/docker/entrypoints/entrypoint.sh
I did not find the file anywhere on my system. Is there supposed to be a default entrypoint.sh?
sudo find / -name entrypoint.sh does not yield any results.
—
Reply to this email directly, view it on GitHub<#230>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/ADCHUVUHX4AHERZQQOQ5U5DWLXCPDANCNFSM6AAAAAASR67WSM>.
You are receiving this because you were mentioned.Message ID: ***@***.***>
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Sorry, I
Perry
…________________________________
From: Julius Hülsmann ***@***.***>
Sent: Monday, December 5, 2022 2:52 AM
To: NVIDIA/nvidia-docker ***@***.***>
Cc: Perry K ***@***.***>; Mention ***@***.***>
Subject: Re: [NVIDIA/nvidia-docker] docker: Error response from daemon: failed to create shim task: OCI runtime create failed: runc create failed (Issue NVIDIA/nvidia-container-toolkit#230)
Hi @apk29<https://github.com/apk29>
Thanks for your response!
chmod +x backend/docker/entrypoints/entrypoint.sh
I did not find the file anywhere on my system. Is there supposed to be a default entrypoint.sh?
sudo find / -name entrypoint.sh does not yield any results.
—
Reply to this email directly, view it on GitHub<#230>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/ADCHUVUHX4AHERZQQOQ5U5DWLXCPDANCNFSM6AAAAAASR67WSM>.
You are receiving this because you were mentioned.Message ID: ***@***.***>
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This seems similar, also runc issue I fixed the issue by disabling SElinux, it was enabled by an update somehow. |
Hi Samsonait! Thanks for your message! |
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I am also same issue, recently I tried to install latest tensorflow gpu in my docker container but it gave me error as and I am unable to install tensorflow Image properly |
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same issue ... |
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Same issue. |
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Same issue |
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same issue |
2 similar comments
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same issue |
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same issue |
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I fix this by using with sudo command. I am using docker desktop in Ubuntu. |
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Same issue |
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In my case it was from Nvidia CUDA API mismatch. Test if "nvidia-smi" is working correctly. More info here. It was fixed with a restart of the machine. |
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same issue |
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How did you guys fix it? Half of my server is down because of this error? |
I can't check right now, but I think it had something to do with buildkit in the Docker settings. |
for me it was something with the nvidia drivers I reinstalled them and it worked |
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How did you guys fix it? |
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Executing docker run with sudo is works for me to run nvidia-smi. |
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I run docker with sudo all the time, didn't help |
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I found information somewhere that running |
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I did tried everything, but it did not help me to run the container from the first attempt just changed the docker from |
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Same issue |
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hello |
1. Issue or feature description
I am trying to run the following
But receive the following error
I executed the command as root user, and received the same error.
The GPU seems to be in persistent mode, and I receive the expected output of nvidia-smi on the host system.
I saw this issue, but the solution seems to not apply to my situation.
2. Steps to reproduce the issue
3. Additional information
Some nvidia-container information: `nvidia-container-cli -k -d /dev/tty info`
Host system
uname -a Linux xBlade 5.19.3-051903-generic #202208211442 SMP PREEMPT_DYNAMIC Sun Aug 21 14:54:49 UTC 2022 x86_64 x86_64 x86_64 GNU/LinuxDriver information from `nvidia-smi -a`
Docker version from `docker version`
NVIDIA packages version from `dpkg -l '*nvidia*'` _or_ `rpm -qa '*nvidia*'`
NVIDIA container library version from `nvidia-container-cli -V`
NVIDIA container library logs
nvidia-container-toolkit log
nvidia-smi output host machine
The following output is instant:
Docker command, image and tag used
docker run --rm --gpus all nvidia/cuda:11.8.0-base-ubuntu22.04 nvidia-smiThanks in advance for your time :)
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