support for 'ray job submit --working-dir . -- python start_xxx_pipeline.py ' start
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- Dominant language
- Python
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Description
目前多机训练需要为每台机器配置环境变量,并运行python start_xxx_pipeline.py启动训练。
希望新增 ray job submit --working-dir . -- python start_xxx_pipeline.py 启动方式,这样就可以直接在已有的 ray cluster 上运行任务了。
Contributor guide
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Research direction
Start by tracing how the existing multi-machine training command is launched and where the training entry point is selected. Verify the requested `ray job submit --working-dir . -- python start_xxx_pipeline.py` invocation on an existing Ray cluster, with completion meaning the job starts without per-machine environment configuration.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- distributed-systems
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100