KubeflowEnvironment¶
- class lightning.pytorch.plugins.environments.KubeflowEnvironment[source]¶
Bases:
ClusterEnvironment
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.- Return type:
- global_rank()[source]¶
The rank (index) of the currently running process across all nodes and devices.
- Return type:
- local_rank()[source]¶
The rank (index) of the currently running process inside of the current node.
- Return type: