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

[ML-84] Use Barrier Execution Mode to schedule oneCCL ranks together #344

Open
wants to merge 9 commits into
base: master
Choose a base branch
from

Conversation

minmingzhu
Copy link
Collaborator

What changes were proposed in this pull request?

closes #84

@github-actions
Copy link

#84

Signed-off-by: minmingzhu <[email protected]>
Signed-off-by: minmingzhu <[email protected]>
Signed-off-by: minmingzhu <[email protected]>
Signed-off-by: minmingzhu <[email protected]>
Signed-off-by: minmingzhu <[email protected]>
Signed-off-by: minmingzhu <[email protected]>
Signed-off-by: minmingzhu <[email protected]>
Signed-off-by: minmingzhu <[email protected]>
@@ -89,7 +89,7 @@ class NaiveBayesDALImpl(val uid: String,

OneCCL.cleanup()
ret
}.collect()
}.barrier().mapPartitions(iter => iter).collect()
Copy link
Collaborator

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

I didn't get the meaning of mapPartitions(iter => iter) ?

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.

[Core] Use Barrier Execution Mode to schedule oneCCL ranks together
2 participants