initialize_dist

composer.utils.dist.initialize_dist(device, timeout=300.0)

Initialize the default PyTorch distributed process group.

This function assumes that the following environment variables are set:

• RANK: The global rank of the process, which should be on [0; WORLD_SIZE - 1].

• LOCAL_RANK: The local rank for the process, which should be on [0; LOCAL_WORLD_SIZE - 1].

• NODE_RANK: The rank of the node.

• WORLD_SIZE: The total number of processes.

• LOCAL_WORLD_SIZE: The number of processes on the current node.

• MASTER_ADDR: The hostname for the rank-zero process.

• MASTER_PORT: The port for the rank-zero process.

If none of the environment variables are set, this function will assume a single-rank configuration and initialize the default process group using a torch.distributed.HashStore store.

See also

torch.distributed.init_process_group()

Parameters

• device (str | Device) – The device from which the distributed backend is interpreted. Either a string corresponding to a device (one of 'cpu', 'gpu', 'mps', or 'tpu') or a Device.

• timeout (float, optional) – The timeout for operations executed against the process group, expressed in seconds. (default: 300.0).