Documentation for "Restoring training session"
At https://williamfalcon.github.io/pytorch-lightning/Trainer/Checkpointing/#restoring-training-session (docs/Trainer/Checkpointing.md) it is suggested that the way to restore a training session is to use a test_tube Experiment:
from test_tube import Experiment
exp = Experiment(version=a_previous_version_with_a_saved_checkpoint)
trainer = Trainer(experiment=exp)

But running this code gives a type error, as Trainer no longer takes the named parameter experiment: TypeError: __init__() got an unexpected keyword argument 'experiment'
What's the current method for restoring training sessions?