Skip to content
New issue

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

Use non-CUDA base images for Docker images #386

Closed
isaac091 opened this issue May 23, 2024 · 0 comments · Fixed by #537
Closed

Use non-CUDA base images for Docker images #386

isaac091 opened this issue May 23, 2024 · 0 comments · Fixed by #537
Assignees
Labels
maintenance mlops DevOps, GPUs, ClearML

Comments

@isaac091
Copy link
Collaborator

Pytorch installs and uses its own copy of the CUDA toolkit, so we shouldn't need to install it separately in Docker containers. We can also change the base Docker image in clearml_connection.py.

@mshannon-sil mshannon-sil self-assigned this Sep 30, 2024
@mshannon-sil mshannon-sil added the mlops DevOps, GPUs, ClearML label Sep 30, 2024
@mshannon-sil mshannon-sil linked a pull request Sep 30, 2024 that will close this issue
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
maintenance mlops DevOps, GPUs, ClearML
Projects
Status: Done
Development

Successfully merging a pull request may close this issue.

3 participants