KubeflowEnvironment¶

class lightning.pytorch.plugins.environments.KubeflowEnvironment[source]¶

Environment for distributed training using the PyTorchJob operator from Kubeflow.

This environment, unlike others, does not get auto-detected and needs to be passed to the Fabric/Trainer constructor manually.

static detect()[source]¶

Detects the environment settings corresponding to this cluster and returns True if they match.

global_rank()[source]¶

The rank (index) of the currently running process across all nodes and devices.

local_rank()[source]¶

The rank (index) of the currently running process inside of the current node.

node_rank()[source]¶

The rank (index) of the node on which the current process runs.

world_size()[source]¶

The number of processes across all devices and nodes.

property creates_processes_externally: bool¶: Whether the environment creates the subprocesses or not.

property main_address: str¶: The main address through which all processes connect and communicate.

property main_port: int¶: An open and configured port in the main node through which all processes communicate.