Source code for lightning.fabric.plugins.environments.torchelastic
# Copyright The Lightning AI team.
#
# 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
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import logging
import torch.distributed
from typing_extensions import override
from lightning.fabric.plugins.environments.cluster_environment import ClusterEnvironment
from lightning.fabric.utilities.imports import _raise_enterprise_not_available
log = logging.getLogger(__name__)
[docs]class TorchElasticEnvironment(ClusterEnvironment):
"""Environment for fault-tolerant and elastic training with `torchelastic <https://pytorch.org/elastic/>`_"""
def __init__(self) -> None:
super().__init__()
_raise_enterprise_not_available()
from pytorch_lightning_enterprise.plugins.environments.torchelastic import (
TorchElasticEnvironment as EnterpriseTorchElasticEnvironment,
)
self.torchelastic_impl = EnterpriseTorchElasticEnvironment()
@property
@override
def creates_processes_externally(self) -> bool:
return self.torchelastic_impl.creates_processes_externally
@property
@override
def main_address(self) -> str:
return self.torchelastic_impl.main_address
@property
@override
def main_port(self) -> int:
return self.torchelastic_impl.main_port
[docs] @staticmethod
@override
def detect() -> bool:
"""Returns ``True`` if the current process was launched using the torchelastic command."""
# if not available (for example on MacOS), `is_torchelastic_launched` is not defined
return torch.distributed.is_available() and torch.distributed.is_torchelastic_launched()
[docs] @override
def world_size(self) -> int:
return self.torchelastic_impl.world_size()
@override
def set_world_size(self, size: int) -> None:
return self.torchelastic_impl.set_world_size(size)
[docs] @override
def global_rank(self) -> int:
return self.torchelastic_impl.global_rank()
@override
def set_global_rank(self, rank: int) -> None:
return self.torchelastic_impl.set_global_rank(rank)
[docs] @override
def local_rank(self) -> int:
return self.torchelastic_impl.local_rank()
[docs] @override
def node_rank(self) -> int:
return self.torchelastic_impl.node_rank()
[docs] @override
def validate_settings(self, num_devices: int, num_nodes: int) -> None:
return self.torchelastic_impl.validate_settings(num_devices, num_nodes)