Source code for pytorch_lightning.plugins.precision.sharded_native_amp

# 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.
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#
#     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.
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from typing import Union

from pytorch_lightning.plugins.precision.native_amp import NativeMixedPrecisionPlugin
from pytorch_lightning.utilities import _FAIRSCALE_AVAILABLE, _NATIVE_AMP_AVAILABLE

if _NATIVE_AMP_AVAILABLE and _FAIRSCALE_AVAILABLE:
    from fairscale.optim import OSS
    from fairscale.optim.grad_scaler import ShardedGradScaler


[docs]class ShardedNativeMixedPrecisionPlugin(NativeMixedPrecisionPlugin):
    """Mixed Precision for Sharded Training"""

    def __init__(self) -> None:
        super().__init__()
        self.scaler = ShardedGradScaler()

[docs]    def clip_grad_by_norm(
        self, optimizer: "OSS", clip_val: Union[int, float], norm_type: float = 2.0, eps: float = 1e-6
    ) -> None:
        optimizer.clip_grad_norm(clip_val, norm_type=norm_type)