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# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# 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
import warnings
from typing import Any, List, Optional
from torch import distributed as dist
__all__ = [
"init",
"is_initialized",
"size",
"rank",
"local_size",
"local_rank",
"is_main",
"barrier",
"gather",
"all_gather",
]
def init() -> None:
if "RANK" not in os.environ:
warnings.warn("Environment variable `RANK` is not set. Skipping distributed initialization.")
return
dist.init_process_group(backend="nccl", init_method="env://")
def is_initialized() -> bool:
return dist.is_initialized()
def size() -> int:
return int(os.environ.get("WORLD_SIZE", 1))
def rank() -> int:
return int(os.environ.get("RANK", 0))
def local_size() -> int:
return int(os.environ.get("LOCAL_WORLD_SIZE", 1))
def local_rank() -> int:
return int(os.environ.get("LOCAL_RANK", 0))
def is_main() -> bool:
return rank() == 0
def barrier() -> None:
dist.barrier()
def gather(obj: Any, dst: int = 0) -> Optional[List[Any]]:
if not is_initialized():
return [obj]
if is_main():
objs = [None for _ in range(size())]
dist.gather_object(obj, objs, dst=dst)
return objs
else:
dist.gather_object(obj, dst=dst)
return None
def all_gather(obj: Any) -> List[Any]:
if not is_initialized():
return [obj]
objs = [None for _ in range(size())]
dist.all_gather_object(objs, obj)
return objs
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