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ray v1.0.0, python 3.7, running ray locally for the below experiment.

Following the documentation at:

https://docs.ray.io/en/latest/tune/api_docs/trainable.html?highlight=reuse%20actors#advanced-reusing-actors

I'm using the Trainable class API and I implement the reset_config method. Then, I set reuse_actors=True in tune.run and make sure that the trials are executed sequentially so that reusing actors is possible. All the trials run but the reset_config method is never called.

Are there any conflicts between reuse_actors and other tune.run and/or tune.experiment arguments?

0 Answers0