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67 lines
1.8 KiB
Python
67 lines
1.8 KiB
Python
# Copyright 2021 Xiaomi Corp. (authors: Fangjun Kuang)
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#
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# See ../../LICENSE for clarification regarding multiple authors
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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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import os
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import torch
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from torch import distributed as dist
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def setup_dist(rank, world_size, master_port=None, use_ddp_launch=False):
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"""
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rank and world_size are used only if use_ddp_launch is False.
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"""
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if "MASTER_ADDR" not in os.environ:
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os.environ["MASTER_ADDR"] = "localhost"
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if "MASTER_PORT" not in os.environ:
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os.environ["MASTER_PORT"] = (
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"12354" if master_port is None else str(master_port)
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)
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if use_ddp_launch is False:
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dist.init_process_group("nccl", rank=rank, world_size=world_size)
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torch.cuda.set_device(rank)
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else:
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dist.init_process_group("nccl")
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def cleanup_dist():
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dist.destroy_process_group()
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def get_world_size():
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if "WORLD_SIZE" in os.environ:
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return int(os.environ["WORLD_SIZE"])
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if dist.is_available() and dist.is_initialized():
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return dist.get_world_size()
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else:
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return 1
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def get_rank():
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if "RANK" in os.environ:
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return int(os.environ["RANK"])
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elif dist.is_available() and dist.is_initialized():
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return dist.rank()
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else:
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return 1
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def get_local_rank():
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return int(os.environ.get("LOCAL_RANK", 0))
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