ray.train.TrainContext.get_world_rank#
- abstract TrainContext.get_world_rank() int [source]#
Get the world rank of this worker.
import ray.train from ray.train.torch import TorchTrainer def train_fn_per_worker(config): if ray.train.get_context().get_world_rank() == 0: print("Worker 0") trainer = TorchTrainer( train_fn_per_worker, scaling_config=ray.train.ScalingConfig(num_workers=2), ) trainer.fit()