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Source code for pytorch_lightning.plugins.precision.tpu_bfloat

# 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
from typing import Any, List, Tuple

import torch.nn as nn
from torch.optim import Optimizer

from pytorch_lightning.plugins.precision.precision_plugin import PrecisionPlugin


[docs]class TPUHalfPrecisionPlugin(PrecisionPlugin): """Plugin that enables bfloats on TPUs""" precision: int = 16
[docs] def connect( self, model: nn.Module, optimizers: List[Optimizer], lr_schedulers: List[Any] ) -> Tuple[nn.Module, List[Optimizer], List[Any]]: os.environ["XLA_USE_BF16"] = str(1) return super().connect(model=model, optimizers=optimizers, lr_schedulers=lr_schedulers)

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