Comments (3)
tekumara
commented on May 30, 2024
3
see ray-project/ray#38977 (comment)
We've merged the changes to make Ray compatible with Pydantic 2.5+. You can start using Pydantic 2.5+ with Ray 2.9, which should be out at the end of December.
These changes should also be in the Ray nightly, so feel free to try them out!
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AkeelMedina22
commented on May 30, 2024
Is there any update on this?
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j-tr
commented on May 30, 2024
as ray is currently not yet supporting pydantic 2 (https://github.com/ray-project/ray/blob/dd270c86feaf3b342014f20c3f7559a6e4cb4272/python/setup.py#L256) I don't think this can be fixed in prefect-ray alone.
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Related Issues (20)
- Python 3.10 support
- `timeout_seconds` in `task` doesn't work with `RayTaskRunner` HOT 2
- First class results error using remote ray HOT 1
- Flow crashes after multiple hanged tasks with "Prefect Task run TASK_RUN_ID already finished" HOT 5
- Ensure that logs from Ray workers are propagated to the Prefect backend HOT 3
- Recognize Ray Cluster defined via env var RAY_ADDRESS HOT 2
- Ray is stuck at the older version
- Circular Import on Deployment (again) HOT 1
- AWS EC2 Spot Interrupt fails entire flow HOT 5
- Flows with many tasks unable to complete HOT 6
- Flow code executes before dependencies present on Ray cluster
- Prefect-Ray spins up workers before the inputs for the worker tasks are ready / before the task's dependencies are complete HOT 6
- Propagating prefect task names to ray tasks instead of it showing up as _run_prefect_task in the Ray dashboard HOT 6
- Prefect Logger does not work with native Ray Functions HOT 1
- how to set resources on @task HOT 2
- Return object references from tasks?
- prefect worker start with resources ?
- Specifying resources for task causes flow to fail/crash
- Error in test suite
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