[wip]: debug port issue

[bhimrazy]

What does this PR do?

Fixes #<issue_number>

Before submitting

• Was this discussed/agreed via a GitHub issue? (not for typos and docs)
• Did you read the contributor guideline, Pull Request section?
• Did you make sure your PR does only one thing, instead of bundling different changes together?
• Did you make sure to update the documentation with your changes? (if necessary)
• Did you write any new necessary tests? (not for typos and docs)
• Did you verify new and existing tests pass locally with your changes?
• Did you list all the breaking changes introduced by this pull request?
• Did you update the CHANGELOG? (not for typos, docs, test updates, or minor internal changes/refactors)

PR review

Anyone in the community is welcome to review the PR.
Before you start reviewing, make sure you have read the review guidelines. In short, see the following bullet-list:

Reviewer checklist

• Is this pull request ready for review? (if not, please submit in draft mode)
• Check that all items from Before submitting are resolved
• Make sure the title is self-explanatory and the description concisely explains the PR
• Add labels and milestones (and optionally projects) to the PR so it can be classified

---

📚 Documentation preview 📚: https://pytorch-lightning--21328.org.readthedocs.build/en/21328/

[codecov]

Codecov Report

❌ Patch coverage is 72.00000% with 7 lines in your changes missing coverage. Please review.
✅ Project coverage is 87%. Comparing base (739cf13) to head (88430d0).

Additional details and impacted files

@@            Coverage Diff            @@
##           master   #21328     +/-   ##
=========================================
+ Coverage      80%      87%     +6%     
=========================================
  Files         270      270             
  Lines       23764    23692     -72     
=========================================
+ Hits        19040    20515   +1475     
+ Misses       4724     3177   -1547     

[bhimrazy]

Finally, it seems to have worked.

time reduction is mainly due to CUDA_LAUNCH_BLOCKING: "0" (ref: #21290)

Let's see if it works now for every run without needing a rerun.