# 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 torch.nn as nn
import pytorch_lightning as pl
from pytorch_lightning.overrides.base import _LightningModuleWrapperBase, unwrap_lightning_module
from pytorch_lightning.utilities import _FAIRSCALE_AVAILABLE
LightningShardedDataParallel = None
if _FAIRSCALE_AVAILABLE:
from fairscale.nn.data_parallel.sharded_ddp import ShardedDataParallel
class LightningShardedDataParallel(_LightningModuleWrapperBase): # type: ignore[no-redef]
# Just do this for later docstrings
pass
def unwrap_lightning_module_sharded(wrapped_model: nn.Module) -> "pl.LightningModule":
model = wrapped_model
if isinstance(model, ShardedDataParallel):
model = model.module
return unwrap_lightning_module(model)
