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Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
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# 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. | ||
import os | ||
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import torch | ||
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from pytorch_lightning.plugins.precision.precision_plugin import PrecisionPlugin | ||
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class TPUHalfPrecisionPlugin(PrecisionPlugin): | ||
"""Plugin that enables bfloats on TPUs""" | ||
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precision = 16 | ||
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def connect(self, model: torch.nn.Module, optimizers, lr_schedulers): | ||
os.environ["XLA_USE_BF16"] = str(1) | ||
return super().connect(model=model, optimizers=optimizers, lr_schedulers=lr_schedulers) |