mlcommons / mlcommons/chakra

Interval between highest level CPU op not captured correctly

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Dominant language
Python
Stars
196
Forks
84
PR merge metrics
No merged PRs in 30d

Description

Describe the Bug

In the Kineto trace, the gaps between highest level CPU ops is visible. This gap is not captured at the generated Chakra trace. It could lead to problems in ET Replay.

Expected Behavior

Somehow capture this gap properly. Is this to be solved in Chakra? In the downstream tools? That part is still a question.

Screenshots

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Contributor guide

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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

Start by comparing the Kineto trace with the generated Chakra trace around the gaps between highest-level CPU operations. Trace where those intervals are generated and determine whether the correction belongs in Chakra or downstream tools such as ET Replay. Done means the gap is captured correctly and ET Replay no longer loses it.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
performance
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
35/100

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