ray.train.TrainContext.get_local_world_size

abstract TrainContext.get_local_world_size() → int

Get the local world size of this node (i.e. number of workers on this node).

Example

import ray.train
from ray.train.torch import TorchTrainer

def train_fn_per_worker():
    print(ray.train.get_context().get_local_world_size())

trainer = TorchTrainer(
    train_fn_per_worker,
    scaling_config=ray.train.ScalingConfig(num_workers=2),
)
trainer.fit()