mlcommons / mlcommons/inference
[Multimodal][vl2l] Offline Scenario hangs at the end of the benchmark
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- Python
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Description
The command:
mlperf-inf-mm-vl2l --settings.scenario offline --settings.mode performance_only
might hang if the expected qps is too high.
You can try:
mlperf-inf-mm-vl2l --settings.scenario offline --settings.mode performance_only --settings.offline_expected_qps 10
and check if you can reproduce.
Contributor guide
First steps
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- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by running mlperf-inf-mm-vl2l --settings.scenario offline --settings.mode performance_only, then compare it with the same command using --settings.offline_expected_qps 10. Trace the offline benchmark entry point to determine why a high expected QPS can hang at completion; done means the benchmark exits normally instead of hanging.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, performance
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100