Source code for lightning.fabric.plugins.environments.kubeflow

# Copyright The Lightning AI team.
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# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
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#     http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
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import logging
import os

from typing_extensions import override

from lightning.fabric.plugins.environments.cluster_environment import ClusterEnvironment

log = logging.getLogger(__name__)


[docs]class KubeflowEnvironment(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. .. _PyTorchJob: https://www.kubeflow.org/docs/components/training/pytorch/ .. _Kubeflow: https://www.kubeflow.org """ @property @override def creates_processes_externally(self) -> bool: return True @property @override def main_address(self) -> str: return os.environ["MASTER_ADDR"] @property @override def main_port(self) -> int: return int(os.environ["MASTER_PORT"])
[docs] @staticmethod @override def detect() -> bool: raise NotImplementedError("The Kubeflow environment can't be detected automatically.")
[docs] @override def world_size(self) -> int: return int(os.environ["WORLD_SIZE"])
@override def set_world_size(self, size: int) -> None: log.debug("KubeflowEnvironment.set_world_size was called, but setting world size is not allowed. Ignored.")
[docs] @override def global_rank(self) -> int: return int(os.environ["RANK"])
@override def set_global_rank(self, rank: int) -> None: log.debug("KubeflowEnvironment.set_global_rank was called, but setting global rank is not allowed. Ignored.")
[docs] @override def local_rank(self) -> int: return 0
[docs] @override def node_rank(self) -> int: return self.global_rank()