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