I am currently working on a project where I am using Optuna for hyperparameter optimization. To ensure reproducibility, I have set random seeds in various parts of the project. However, I have noticed that when I run the optimization process multiple times, Optuna prunes different trials each time, even though it evaluates the same hyperparameters.

I am using the Hyperband pruner with max_resources='auto'. I suspect that this might be causing the issue. Could any of you please clarify the following point:

Does Optuna use a different number of resources for each trial when max_resources is set to 'auto'?

Understanding these details will help me ensure that the optimization process is fully reproducible.