Source code for pytorch_lightning.plugins.precision.tpu_bfloat

# Copyright The PyTorch Lightning team.
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# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
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#     http://www.apache.org/licenses/LICENSE-2.0
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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)