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- # Copyright 2024 The HuggingFace Team. All rights reserved.
- #
- # 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.
- from __future__ import annotations
- import os
- from typing import TYPE_CHECKING
- from ..utils import is_torch_available, strtobool
- if TYPE_CHECKING:
- from torch import nn
- def is_fsdp_managed_module(module: nn.Module) -> bool:
- if not is_torch_available():
- return False
- import torch
- if not torch.distributed.is_available():
- return False
- import torch.distributed.fsdp
- return isinstance(module, torch.distributed.fsdp.FullyShardedDataParallel) or getattr(
- module, "_is_fsdp_managed_module", False
- )
- def is_fsdp_enabled():
- if is_torch_available():
- import torch
- return (
- torch.distributed.is_available()
- and torch.distributed.is_initialized()
- and strtobool(os.environ.get("ACCELERATE_USE_FSDP", "False")) == 1
- and strtobool(os.environ.get("FSDP_CPU_RAM_EFFICIENT_LOADING", "False")) == 1
- )
- return False
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