# Ray Tune run out of disk (/tmp/ray)
**URL:** https://discuss.ray.io/t/ray-tune-run-out-of-disk-tmp-ray/2678
**Category:** Ray Tune
**Created:** [June 28, 2021, 3:23am UTC](https://discuss.ray.io/t/ray-tune-run-out-of-disk-tmp-ray/2678 "2021-06-28T03:23:09Z")
**Posts on this page:** 4
**Page:** 1
### Author:  [@Eleven1Liu](https://discuss.ray.io/u/Eleven1Liu)
#### Post date: [June 28, 2021, 3:23am UTC](https://discuss.ray.io/t/ray-tune-run-out-of-disk-tmp-ray/2678/1 "2021-06-28T03:23:09Z")
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!!
```auto
293G ./session_2021-06-18_03-17-13_932164_5376
```
Here’s how I run `tune.run`:
```python
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)
```
---
### Author:  [@rliaw](https://discuss.ray.io/u/rliaw)
#### Post date: [July 1, 2021, 4:41pm UTC](https://discuss.ray.io/t/ray-tune-run-out-of-disk-tmp-ray/2678/2 "2021-07-01T16:41:10Z")
Hey @Eleven1Liu what version of Ray are you on?
Can you try the latest (1.4.1)?
---
### Author:  [@Eleven1Liu](https://discuss.ray.io/u/Eleven1Liu)
#### Post date: [July 2, 2021, 6:56am UTC](https://discuss.ray.io/t/ray-tune-run-out-of-disk-tmp-ray/2678/3 "2021-07-02T06:56:33Z")
@rliaw I use 1.4.0.
Sure. Thanks!!
---
### Author:  [@Eleven1Liu](https://discuss.ray.io/u/Eleven1Liu)
#### Post date: [July 2, 2021, 12:39pm UTC](https://discuss.ray.io/t/ray-tune-run-out-of-disk-tmp-ray/2678/4 "2021-07-02T12:39:15Z")
@rliaw 1.4.1 works! Thanks a lot 😄