61 lines
2.2 KiB
Python
61 lines
2.2 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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from abc import ABC
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import torch
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from torch import Tensor
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from pytorch_lightning.core.lightning import LightningModule
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from pytorch_lightning.utilities import rank_zero_deprecation
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from pytorch_lightning.utilities.finite_checks import detect_nan_parameters, print_nan_gradients
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EPSILON = 1e-6
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EPSILON_FP16 = 1e-5
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log = logging.getLogger(__name__)
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class TrainerTrainingTricksMixin(ABC):
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"""
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TODO: Remove this class in v1.5.
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Use the NaN utilities from ``pytorch_lightning.utilities.finite_checks`` instead.
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"""
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# this is just a summary on variables used in this abstract class,
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# the proper values/initialisation should be done in child class
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lightning_module: LightningModule
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def print_nan_gradients(self) -> None:
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rank_zero_deprecation(
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"Internal: TrainerTrainingTricksMixin.print_nan_gradients is deprecated in v1.3"
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" and will be removed in v1.5."
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" Use `pytorch_lightning.utilities.finite_checks.print_nan_gradients` instead."
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)
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model = self.lightning_module
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print_nan_gradients(model)
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def detect_nan_tensors(self, loss: Tensor) -> None:
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rank_zero_deprecation(
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"Internal: TrainerTrainingTricksMixin.detect_nan_tensors is deprecated in v1.3"
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" and will be removed in v1.5."
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" Use `pytorch_lightning.utilities.finite_checks.detect_nan_parameters` instead."
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)
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# check if loss is nan
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if not torch.isfinite(loss).all():
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raise ValueError('The loss returned in `training_step` is nan or inf.')
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model = self.lightning_module
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detect_nan_parameters(model)
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