We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
We have Ubuntu-based CUDA-enabled builds using Docker images that evidently have not been exercised in a long time:
$ archery docker run ubuntu-cuda-cpp Pulling ubuntu-cuda-cpp ... done WARNING: Some service image(s) must be built from source by running: docker-compose build ubuntu-cuda-cpp Building ubuntu-cuda-cpp [+] Building 0.9s (4/4) FINISHED => [internal] load build definition from ubuntu-20.04-cpp.dockerfile 0.0s => => transferring dockerfile: 5.39kB 0.0s => [internal] load .dockerignore 0.0s => => transferring context: 35B 0.0s => ERROR [internal] load metadata for docker.io/nvidia/cuda:9.1-devel-ubuntu20.04 0.9s => [auth] nvidia/cuda:pull token for registry-1.docker.io 0.0s ------ > [internal] load metadata for docker.io/nvidia/cuda:9.1-devel-ubuntu20.04: ------ failed to solve with frontend dockerfile.v0: failed to create LLB definition: docker.io/nvidia/cuda:9.1-devel-ubuntu20.04: not found ERROR: Service 'ubuntu-cuda-cpp' failed to build : Build failed Error: `docker-compose --file /home/antoine/arrow/dev/docker-compose.yml build --build-arg BUILDKIT_INLINE_CACHE=1 ubuntu-cuda-cpp` exited with a non-zero exit code 1, see the process log above.
Reporter: Antoine Pitrou / @pitrou Assignee: Antoine Pitrou / @pitrou
Note: This issue was originally created as ARROW-17423. Please see the migration documentation for further details.
The text was updated successfully, but these errors were encountered:
Antoine Pitrou / @pitrou: @assignUser Do you want to take this up?
Sorry, something went wrong.
Antoine Pitrou / @pitrou: Note you probably need to install the NVidia container runtime on the host machine so that Docker guests can access the GPU.
For example on Ubuntu you should install the nvidia-container-runtime package (see https://github.com/NVIDIA/nvidia-container-runtime), then enable it in the Docker config: https://github.com/NVIDIA/nvidia-container-runtime#daemon-configuration-file
nvidia-container-runtime
Antoine Pitrou / @pitrou: Issue resolved by pull request 13896 #13896
pitrou
No branches or pull requests
We have Ubuntu-based CUDA-enabled builds using Docker images that evidently have not been exercised in a long time:
Reporter: Antoine Pitrou / @pitrou
Assignee: Antoine Pitrou / @pitrou
Related issues:
PRs and other links:
Note: This issue was originally created as ARROW-17423. Please see the migration documentation for further details.
The text was updated successfully, but these errors were encountered: