distributed.py

# 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
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"""Utilities for distributed training."""
import os


def initialize_global_process_group(timeout_second=36000):
    import torch.distributed
    from datetime import timedelta
    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