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Use non-CUDA Ubuntu Docker image #537

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merged 1 commit into from
Sep 30, 2024
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@mshannon-sil mshannon-sil commented Sep 30, 2024

I updated the Dockerfiles to use the image ubuntu:20.04 rather than 12.1.1-cudnn8-runtime-ubuntu20.04, since pytorch already comes with CUDA. I tested that experiments ran successfully in both Dockerfiles, and I tested locally and using a ClearML agent. Once the PR is merged, I'll add a tag to create the new SILNLP docker container.


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@mshannon-sil mshannon-sil added maintenance mlops DevOps, GPUs, ClearML labels Sep 30, 2024
@mshannon-sil mshannon-sil self-assigned this Sep 30, 2024
@mshannon-sil mshannon-sil linked an issue Sep 30, 2024 that may be closed by this pull request
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clearml_connection.py is still using the CUDA image, but I assume that change will come with the updates to get rid of the setup time on ClearML?

Reviewed 2 of 2 files at r1, all commit messages.
Reviewable status: :shipit: complete! all files reviewed, all discussions resolved (waiting on @mshannon-sil)

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Yeah, and that work is all done as well. I'm submitting that PR once this is merged in and I've run one final test with the new SILNLP docker image.

Reviewable status: :shipit: complete! all files reviewed, all discussions resolved (waiting on @mshannon-sil)

@mshannon-sil mshannon-sil merged commit 39345fe into master Sep 30, 2024
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@mshannon-sil mshannon-sil deleted the #386_non_cuda_image branch September 30, 2024 19:23
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Use non-CUDA base images for Docker images
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