64 lines
2.0 KiB
Python
64 lines
2.0 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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from os import environ
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from pytorch_lightning.loggers.base import LightningLoggerBase, LoggerCollection
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from pytorch_lightning.loggers.csv_logs import CSVLogger
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from pytorch_lightning.loggers.tensorboard import TensorBoardLogger
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__all__ = [
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'LightningLoggerBase',
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'LoggerCollection',
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'TensorBoardLogger',
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'CSVLogger',
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]
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try:
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# needed to prevent ImportError and duplicated logs.
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environ["COMET_DISABLE_AUTO_LOGGING"] = "1"
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from pytorch_lightning.loggers.comet import CometLogger # noqa: F401
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except ImportError: # pragma: no-cover
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del environ["COMET_DISABLE_AUTO_LOGGING"] # pragma: no-cover
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else:
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__all__.append('CometLogger')
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try:
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from pytorch_lightning.loggers.mlflow import MLFlowLogger # noqa: F401
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except ImportError: # pragma: no-cover
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pass # pragma: no-cover
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else:
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__all__.append('MLFlowLogger')
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try:
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from pytorch_lightning.loggers.neptune import NeptuneLogger # noqa: F401
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except ImportError: # pragma: no-cover
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pass # pragma: no-cover
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else:
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__all__.append('NeptuneLogger')
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try:
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from pytorch_lightning.loggers.test_tube import TestTubeLogger # noqa: F401
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except ImportError: # pragma: no-cover
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pass # pragma: no-cover
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else:
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__all__.append('TestTubeLogger')
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try:
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from pytorch_lightning.loggers.wandb import WandbLogger # noqa: F401
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except ImportError: # pragma: no-cover
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pass # pragma: no-cover
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else:
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__all__.append('WandbLogger')
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