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# Copyright 2024 Bytedance Ltd. and/or its affiliates
#
# 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.
"""Utilities for distributed training."""
import os
def initialize_global_process_group(timeout_second=36000):
from datetime import timedelta
import torch.distributed
torch.distributed.init_process_group("nccl", timeout=timedelta(seconds=timeout_second))
local_rank = int(os.environ["LOCAL_RANK"])
rank = int(os.environ["RANK"])
world_size = int(os.environ["WORLD_SIZE"])
if torch.distributed.is_initialized():
torch.cuda.set_device(local_rank)
return local_rank, rank, world_size
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