from ray import tune class MyTrainableClass(tune.Trainable): def step(self): # Do one step of training here loss = ... return {"loss": loss}
my_trainer = MyTrainableClass() trial_runner = tune.TrialRunner(...) trial_runner.add(my_trainer) trial_runner.run()In this example, `my_trainer` is an instance of `MyTrainableClass`, and `trial_runner` is a `tune.TrialRunner` object. We add `my_trainer` to the runner using the `add` method, and then call the `run` method to actually run the trials. In summary, the `ray.tune.trial_runner.TrialRunner.step` method is an important method in the Ray Tune package library that allows you to perform a single step of a training algorithm as part of a trial. You can use this method by defining your own `Trainable` class that implements it, and then using an instance of your class with a `TrialRunner` to actually run the trials.