74 lines
2.8 KiB
Python
74 lines
2.8 KiB
Python
# Copyright The PyTorch Lightning team.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import logging
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import os
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from typing import Optional
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from pytorch_lightning.plugins.environments.cluster_environment import ClusterEnvironment
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from pytorch_lightning.utilities import rank_zero_warn
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log = logging.getLogger(__name__)
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class TorchElasticEnvironment(ClusterEnvironment):
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"""Environment for fault-tolerant and elastic training with `torchelastic <https://pytorch.org/elastic/>`_"""
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@staticmethod
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def is_using_torchelastic() -> bool:
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"""Returns ``True`` if the current process was launched using the torchelastic command."""
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required_env_vars = ("RANK", "GROUP_RANK", "LOCAL_RANK", "LOCAL_WORLD_SIZE")
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return all(v in os.environ for v in required_env_vars)
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def creates_children(self) -> bool:
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return True
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def master_address(self) -> str:
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if "MASTER_ADDR" not in os.environ:
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rank_zero_warn("MASTER_ADDR environment variable is not defined. Set as localhost")
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os.environ["MASTER_ADDR"] = "127.0.0.1"
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log.debug(f"MASTER_ADDR: {os.environ['MASTER_ADDR']}")
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master_address = os.environ.get("MASTER_ADDR")
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return master_address
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def master_port(self) -> int:
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if "MASTER_PORT" not in os.environ:
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rank_zero_warn("MASTER_PORT environment variable is not defined. Set as 12910")
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os.environ["MASTER_PORT"] = "12910"
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log.debug(f"MASTER_PORT: {os.environ['MASTER_PORT']}")
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port = int(os.environ.get("MASTER_PORT"))
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return port
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def world_size(self) -> Optional[int]:
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world_size = os.environ.get("WORLD_SIZE")
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return int(world_size) if world_size is not None else world_size
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def set_world_size(self, size: int) -> None:
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log.debug("TorchElasticEnvironment.set_world_size was called, but setting world size is not allowed. Ignored.")
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def global_rank(self) -> int:
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return int(os.environ["RANK"])
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def set_global_rank(self, rank: int) -> None:
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log.debug(
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"TorchElasticEnvironment.set_global_rank was called, but setting global rank is not allowed. Ignored."
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)
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def local_rank(self) -> int:
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return int(os.environ["LOCAL_RANK"])
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def node_rank(self) -> int:
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return int(os.environ.get("GROUP_RANK", 0))
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