open-compass / open-compass/VLMEvalKit
Distributed evaluation of Spatial457
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- Dominant language
- Python
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- Avg merge
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- Merged PRs (30d)
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Description
I am trying to evaluate llava_v1.5_7b model on Spatial457 benchmark on a 8 GPU system, but it is only using 1 GPU. Below command
python run.py --data Spatial457 --model llava_v1.5_7b
How can I do multi GPU eval?
Contributor guide
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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 run.py and trace how the Spatial457 benchmark and llava_v1.5_7b model are selected and how GPU use is configured. Check whether distributed evaluation is already supported, then define done as running the supplied command or documented equivalent across multiple GPUs and verify the evaluation completes correctly.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- distributed-systems, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100