33 lines
1.2 KiB
Python
33 lines
1.2 KiB
Python
# 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 import TPUPrecisionPlugin
|
|
|
|
|
|
class TPUBf16PrecisionPlugin(TPUPrecisionPlugin):
|
|
"""Plugin that enables bfloats on TPUs."""
|
|
|
|
precision: str = "bf16"
|
|
|
|
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)
|