Ray tune trial log is now showing

Ray Libraries (Data, Train, Tune, Serve) Ray Tune
1

I’m trying to find best hyper-parameter of LGBM.
So i follow the instruction of ray document then run the python file.

But trial log is not showing my log file.
This is my log file.

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-02-27 11:32:30,250	WARNING utils.py:648 -- Ray currently does not support initializing Raywith fractional cpus. Your num_cpus will be truncated from 15.3 to 15.
2023-02-27 11:32:30,251	WARNING services.py:1732 -- WARNING: The object store is using /tmp instead of /dev/shm because /dev/shm has only 67108864 bytes available. This will harm performance! You may be able to free up space by deleting files in /dev/shm. If you are inside a Docker container, you can increase /dev/shm size by passing '--shm-size=10.24gb' to 'docker run' (or add it to the run_options list in a Ray cluster config). Make sure to set this to more than 30% of available RAM.
2023-02-27 11:32:30,301	INFO worker.py:1538 -- Started a local Ray instance.

Could you explain why? Thanks,

2

Hi @Ikkyu_Choi,

Are you using LightGBMTrainer and using air.RunConfig(log_to_file=True)? We are currently tracking this issue here: [AIR] Log statements from child actors not captured in log files · Issue #30808 · ray-project/ray · GitHub