Add a rule about DLRM training data shuffling #441
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
Shuffling rules about DLRM were not clear enough in the v0.7 round and they left a lot of room for interpretation. This update makes a clear rule that is easy to follow and should not impact convergence or performance of DLRM implementations.
|
MLCommons CLA bot All contributors have signed the MLCommons CLA ✍️ ✅ |
|
+emizan@google.com, +deepak.r.canchi@intel.com, could you please review/approve? |
emizan76
approved these changes
Apr 23, 2021
|
Deepak suggested that it is too late for v1.0 to change this, which is fair. Let's defer discussion to v1.1. Separately, it looks like I inadvertently merged this, maybe as part of another PR. I'll go fix that now as well. |
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Outdated suggestions cannot be applied.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.
Shuffling rules about DLRM were not clear enough in the v0.7 round and they left a lot of room for interpretation. This update makes a clear rule that is easy to follow and should not impact convergence or performance of DLRM implementations.
This was actually part of #411, which we discussed, but I mistakenly closed that thinking it was only about packing, which we no longer are using that PR for. This is cleaner to break out data shuffling into its own PR, anyway.