Issue when using ray tune in Kaggle with GPU

[NUIST-elite]

When I want to use ray tune in kaggle notebook, there will be following errors:

import ray
ray.init()

2023-07-15 15:17:02,721 ERROR services.py:1207 -- Failed to start the dashboard , return code -11
2023-07-15 15:17:02,726 ERROR services.py:1232 -- Error should be written to 'dashboard.log' or 'dashboard.err'. We are printing the last 20 lines for you. See 'https://docs.ray.io/en/master/ray-observability/ray-logging.html#logging-directory-structure' to find where the log file is.
2023-07-15 15:17:02,729 ERROR services.py:1276 --
The last 20 lines of /tmp/ray/session_2023-07-15_15-16-58_607926_29/logs/dashboard.log (it contains the error message from the dashboard):
2023-07-15 15:17:02,585 INFO head.py:242 -- Starting dashboard metrics server on port 44227
2023-07-15 15:17:04,019 INFO worker.py:1636 -- Started a local Ray instance.

After checking, there are following patterns:
1, If using ray tune 2.2.0, there will be no problem, with or without GPU turned on
2. If using ray 2.5.1, when GPU is turned on, this error will occur.

[Apoiuty]

I've also encountered the same issue. Have you resolved it?

[bigboss98]

I've also encountered the same issue. Have you find a solution?

[prayaspatnaik21]

Struggling with the same issue. Any update?

[stale]

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