# Copyright The PyTorch Lightning 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 # limitations under the License. """Enumerated utilities""" from enum import Enum from typing import Union class LightningEnum(str, Enum): """ Type of any enumerator with allowed comparison to string invariant to cases. """ @classmethod def from_str(cls, value: str) -> 'LightningEnum': statuses = [status for status in dir(cls) if not status.startswith('_')] for st in statuses: if st.lower() == value.lower(): return getattr(cls, st) return None def __eq__(self, other: Union[str, Enum]) -> bool: other = other.value if isinstance(other, Enum) else str(other) return self.value.lower() == other.lower() class AMPType(LightningEnum): """Type of Automatic Mixed Precission used for training. >>> # you can math the type with string >>> AMPType.APEX == 'apex' True """ APEX = 'apex' NATIVE = 'native' class DistributedType(LightningEnum): """ Define type of ditributed computing. >>> # you can math the type with string >>> DistributedType.DDP == 'ddp' True >>> # which is case invariant >>> DistributedType.DDP2 == 'DDP2' True """ DP = 'dp' DDP = 'ddp' DDP2 = 'ddp2' DDP_SPAWN = 'ddp_spawn' HOROVOD = 'horovod' class DeviceType(LightningEnum): """ Define Device type byt its nature - acceleatrors. >>> DeviceType.CPU == DeviceType.from_str('cpu') True >>> # you can math the type with string >>> DeviceType.GPU == 'GPU' True >>> # which is case invariant >>> DeviceType.TPU == 'tpu' True """ CPU = 'CPU' GPU = 'GPU' TPU = 'TPU'