Hi,
I am using ray to run grid search over 480 trials. I found it ran out of disk because 293G logs were generated in /tmp/ray
in one session. Is there any suggestion to reduces the log size? Thanks!!
293G ./session_2021-06-18_03-17-13_932164_5376
Here’s how I run tune.run
:
reporter = tune.CLIReporter(metric_columns=all_monitor_metrics)
analysis = tune.run(
tune.with_parameters(Trainable, data=data),
search_alg=init_search_algorithm(search_alg, metric=model_config.val_metric, mode=args.mode),
local_dir=args.local_dir,
metric=val_metric,
mode=args.mode,
num_samples=args.num_samples,
resources_per_trial={
'cpu': args.cpu_count, 'gpu': args.gpu_count},
progress_reporter=reporter,
config=model_config)