Train with tune doesnt set the right logdir

Ray Libraries (Data, Train, Tune, Serve) Ray Train
7

Hmm, I tried running the following simple example:

from ray.train import Trainer
from ray import train, tune

def train_func():
    train.save_checkpoint(metric=123)

trainer = Trainer(backend="torch",num_workers=2)
trainable = trainer.to_tune_trainable(train_func)

tune.run(trainable)

And the checkpoint was written to:
~/tune_function_2022-03-21_22-02-05/tune_function_37f72_00000_0_2022-03-21_22-02-05/checkpoint_000000/checkpoint

The file isn’t expected to be named train_stuff here.