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.

Sign up for GitHub

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

Jump to bottom

Cherry-pick: PJRT plugin defaults (#7249 and #7268) #7270

Merged

bhavya01 merged 2 commits into r2.4 from wcromar/r2.4-default-plugin

Jun 14, 2024

Collaborator

will-cromar commented Jun 13, 2024 •

edited

Loading

Enables dynamic plugins by default, meaning you can use the torch_xla_cuda_plugin with our PyPI distribution by default. This does not change the behavior of the static-linked CUDA build. (Enable PJRT plugins by default #7268)
Enables new client create options for libtpu. (Supporting passing ML framework name and version through the PjRt Client Create options in PyTorch/xla. #7249)

aman2930 and others added 2 commits

June 13, 2024 22:19


          Supporting passing ML framework name and version through the PjRt Cli…

f025907

…ent Create options in PyTorch/xla. (#7249)


          Enable PJRT plugins by default (#7268)

581d308

will-cromar requested review from bhavya01 and JackCaoG

June 13, 2024 22:22

Collaborator

JackCaoG commented Jun 13, 2024

can you update #7242?

JackCaoG approved these changes

View reviewed changes

will-cromar mentioned this pull request

2.4 backport PR request list #7242

Open

bhavya01 approved these changes

View reviewed changes

bhavya01 merged commit f00bd0b into r2.4

22 checks passed

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet