mlcommons / mlcommons/inference
How to run text-to-image with multi GPUs
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Description
Hello everyone, I am a newcomer to MLPerf.
I would like to know whether the text-to-image in inference supports multi-card testing. Currently, I see that there is no parameter to set multi-card in the parameters of " python main.py --help ".
and I saw the MLPerf inference Results, it has results of 2 L40s and 8 H100 . how do they run the test?
thanks a lot
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the text-to-image entry point referenced in the issue and run python main.py --help to inspect the available options. Compare that interface with the MLPerf Inference results mentioning 2 L40s and 8 H100s. Done means documenting whether multi-GPU testing is supported and, if so, the commands or configuration needed.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100