ORNL / ORNL/flowcept

Tensorboard interceptor keeps receiving events even after training

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#49 2 comments 0 reactions 0 assignees View on GitHub

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bug priority:low
Dominant language
Python
Stars
36
Forks
19
PR merge metrics
No merged PRs in 30d

Description

This has low priority because it can be easily worked around by calling consumer.stop(), but this is a bug that should be fixed.

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

Locate the Tensorboard interceptor and trace how it handles training completion and the consumer lifecycle. Reproduce the issue without the consumer.stop() workaround, then verify that the interceptor no longer receives events after training ends.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
observability
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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