mlcommons / mlcommons/logging

Validate number of logging entries

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Dominant language
Python
Stars
43
Forks
60
Avg merge
19h 56m
Merged PRs (30d)
3

Description

The MLPerf v7.0 logging was described by a MLPerf Training Logging Spec v0.7 document, which includes a definition of the number of expected logs.

The committee decided to drop support for this document, and the checkers should be the only source of logging rules.
With this decision, we lost the definition of required logs, and submitters don't know, what is expected.

I propose to update verifiers to add support for log entries count validation. This test should be a part of the tool, that has knowledge about a number of nodes/accelerators in the submission. The package checker may be the right choice.

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First steps

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  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reviewing the existing verifiers and package checker to see where submission node and accelerator counts are available. Compare their current rules with the MLPerf Training Logging Spec v0.7, then define how expected log counts should be represented and validated; done means the checker reports missing or extra required entries consistently.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
testing, tooling
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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