54 lines
1.5 KiB
Python
54 lines
1.5 KiB
Python
# Copyright 2024 The HuggingFace Team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import annotations
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import os
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from typing import TYPE_CHECKING
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from ..utils import is_torch_available, strtobool
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if TYPE_CHECKING:
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from torch import nn
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def is_fsdp_managed_module(module: nn.Module) -> bool:
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if not is_torch_available():
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return False
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import torch
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if not torch.distributed.is_available():
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return False
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import torch.distributed.fsdp
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return isinstance(module, torch.distributed.fsdp.FullyShardedDataParallel) or getattr(
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module, "_is_fsdp_managed_module", False
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)
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def is_fsdp_enabled():
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if is_torch_available():
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import torch
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return (
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torch.distributed.is_available()
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and torch.distributed.is_initialized()
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and strtobool(os.environ.get("ACCELERATE_USE_FSDP", "False")) == 1
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and strtobool(os.environ.get("FSDP_CPU_RAM_EFFICIENT_LOADING", "False")) == 1
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)
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return False
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