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

Introduce hermetic CUDA in Google ML projects. #64130

Draft
wants to merge 1 commit into
base: master
Choose a base branch
from

Conversation

copybara-service[bot]
Copy link

@copybara-service copybara-service bot commented Mar 21, 2024

Introduce hermetic CUDA in Google ML projects.

Instead of having pre-installed NVIDIA CUDA and CUDNN libraries and setting environment variables pointing to the installation locations, Bazel should automatically download CUDA and CUDNN distributives in the cache and use them during build and test phases.

The Bazel version used in JAX is bumped from 6.1.2 to 6.5.0.

@copybara-service copybara-service bot force-pushed the exported_pr_616865795 branch 13 times, most recently from 5c8acdc to 51fc354 Compare March 28, 2024 04:20
@copybara-service copybara-service bot force-pushed the exported_pr_616865795 branch 8 times, most recently from f330b04 to 519f7bd Compare April 1, 2024 18:33
@copybara-service copybara-service bot force-pushed the exported_pr_616865795 branch 9 times, most recently from 4b7e70f to 242d136 Compare April 10, 2024 18:14
@copybara-service copybara-service bot force-pushed the exported_pr_616865795 branch 11 times, most recently from 4f5b568 to 09cf6b4 Compare April 30, 2024 23:07
@copybara-service copybara-service bot changed the title Implement hermetic cuda usage across TF projects. Introduce hermetic CUDA in Google ML projects. Apr 30, 2024
@copybara-service copybara-service bot force-pushed the exported_pr_616865795 branch 16 times, most recently from 2142a0a to c614b5a Compare May 7, 2024 17:51
Instead of having pre-installed NVIDIA CUDA and CUDNN libraries and setting environment variables pointing to the installation locations, Bazel should automatically download CUDA and CUDNN distributives in the cache and use them during build and test phases.

The Bazel version used in JAX is bumped from 6.1.2 to 6.5.0.

PiperOrigin-RevId: 616865795
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

None yet

1 participant