43 lines
1.8 KiB
Python
43 lines
1.8 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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from pytorch_lightning.callbacks.base import Callback
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from pytorch_lightning.callbacks.early_stopping import EarlyStopping
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from pytorch_lightning.callbacks.finetuning import BackboneFinetuning, BaseFinetuning
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from pytorch_lightning.callbacks.gpu_stats_monitor import GPUStatsMonitor
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from pytorch_lightning.callbacks.gradient_accumulation_scheduler import GradientAccumulationScheduler
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from pytorch_lightning.callbacks.lambda_function import LambdaCallback
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from pytorch_lightning.callbacks.lr_monitor import LearningRateMonitor
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from pytorch_lightning.callbacks.model_checkpoint import ModelCheckpoint
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from pytorch_lightning.callbacks.progress import ProgressBar, ProgressBarBase
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from pytorch_lightning.callbacks.pruning import ModelPruning
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from pytorch_lightning.callbacks.quantization import QuantizationAwareTraining
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from pytorch_lightning.callbacks.stochastic_weight_avg import StochasticWeightAveraging
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__all__ = [
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'BackboneFinetuning',
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'BaseFinetuning',
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'Callback',
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'EarlyStopping',
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'GPUStatsMonitor',
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'GradientAccumulationScheduler',
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'LambdaCallback',
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'LearningRateMonitor',
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'ModelCheckpoint',
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'ModelPruning',
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'ProgressBar',
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'ProgressBarBase',
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'QuantizationAwareTraining',
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'StochasticWeightAveraging',
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]
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