upgrade mpi 1.6 #260
Merged
upgrade mpi 1.6 #260
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
sylus
requested changes
Sep 21, 2022
|
Yeah v1.4 they have a universal operator that supports all frameworks, getting rid of pytorch, mxnet and xgboost operator. |
|
This file needs to be deleted |
rohank07
force-pushed
the
upgrade-mpi-1.6
branch
from
664d75a to
286671a
Compare
|
Sorry last thing /training-operator/ We need to call training-operator name as well instead of tf-operator. |
rohank07
force-pushed
the
upgrade-mpi-1.6
branch
from
286671a to
b1a86a5
Compare
rohank07
force-pushed
the
upgrade-mpi-1.6
branch
from
b1a86a5 to
bb5c323
Compare
sylus
approved these changes
Sep 21, 2022
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
closes #252
mpi-job has been moved into tf-training. We can get rid of the mpi-job, mx-net and pytorch component and continue to upgrade tf-training.
Ref: kubeflow/manifests#2123 (comment)
kubeflow/manifests#1962 (comment)