[Question] 多模态数据加载巨慢
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- Python
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Description
Your Question
请问有人遇到过多模态单轮训练数据加载非常慢点情况吗？我使用geo3k的脚本去训练virl-39k数据集，发现多模态数据加载会卡在这个地方很长时间。有无有效的解决方案 非常感谢～
What I've Tried
None
Environment (if relevant)
镜像是：dockerhub/slimerl/slime:v0.2.4
Additional Context
No response
Pre-submission Checklist
- I have read the CONTRIBUTING.md and understand the collaboration scope.
- I have read the documentation and FAQ and my question is not answered there.
- I have searched for existing issues and my question has not been asked before.
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 by reproducing the slow multimodal data loading with the geo3k script, the virl-39k dataset, and the dockerhub/slimerl/slime:v0.2.4 image. Inspect the loading stage where the run stalls and compare its behavior with the reported screenshot. Done means identifying a supported cause and documenting an effective solution or workaround.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100