mirror of https://github.com/hpcaitech/ColossalAI
45 lines
1.2 KiB
Python
45 lines
1.2 KiB
Python
import os
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import torch.distributed.rpc as rpc
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from rpc_test_utils import pg_parse_args, rpc_is_initialized
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from colossalai.legacy.initialize import launch
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from colossalai.legacy.pipeline.pipeline_process_group import ppg
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from colossalai.logging import disable_existing_loggers
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from colossalai.testing import spawn
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def run_worker(rank, args):
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os.environ["MASTER_ADDR"] = args.master_addr
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os.environ["MASTER_PORT"] = args.master_port
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device = args.device
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world_size = args.world_size
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dp_degree = args.dp_degree
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tp_degree = args.tp_degree
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num_worker_threads = args.num_worker_threads
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host = args.master_addr
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port = args.master_port
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backend = "nccl" if device == "cuda" else "gloo"
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disable_existing_loggers()
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launch(dict(), rank, world_size, host, int(port), backend, verbose=False)
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ppg.set_global_info(
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rank=rank,
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world_size=world_size,
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dp_degree=dp_degree,
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tp_degree=tp_degree,
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num_worker_threads=num_worker_threads,
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device=device,
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)
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if rpc_is_initialized():
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rpc.shutdown()
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if __name__ == "__main__":
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args = pg_parse_args()
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world_size = args.world_size
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spawn(run_worker, world_size, args=args)
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