KubeflowEnvironment

class lightning.pytorch.plugins.environments.KubeflowEnvironment

기반 클래스: lightning.fabric.plugins.environments.cluster_environment.ClusterEnvironment

Environment for distributed training using the PyTorchJob operator from Kubeflow

static detect()

Returns True if the current process was launched using Kubeflow PyTorchJob.

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bool

global_rank()

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

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int

local_rank()

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

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int

node_rank()

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

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int

world_size()

The number of processes across all devices and nodes.

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int

property creates_processes_externally: bool

Whether the environment creates the subprocesses or not.

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bool

property main_address: str

The main address through which all processes connect and communicate.

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str

property main_port: int

An open and configured port in the main node through which all processes communicate.

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int