29 lines
1.1 KiB
Python
29 lines
1.1 KiB
Python
# 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):
|
|
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
|