mlcommons / mlcommons/logging

[Training] File level checker

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

Description

  • hyperparams
  • sys description

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

The issue names no files, tests, or entry points. Start by locating the training or file-level validation code in the repository and determine how hyperparameters and system descriptions are currently represented. Done should mean the intended checker behavior and validation scope are specified for both listed items.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
tooling
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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