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example crash in torch-ucc
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import os | |
import torch | |
import torch.distributed as dist | |
import torch.multiprocessing as mp | |
import torch_ucc | |
def worker(rank, world_size): | |
os.environ["RANK"] = str(rank) | |
os.environ["WORLD_SIZE"] = str(world_size) | |
os.environ["MASTER_ADDR"] = "localhost" | |
os.environ["MASTER_PORT"] = "10638" | |
dist.init_process_group("ucc", rank=rank, world_size=world_size) | |
print(f"rank is = {dist.get_rank()}") | |
t = torch.ones(10, device="cuda") | |
dist.all_reduce(t) | |
if rank == 0: | |
print(f"t is {t}") | |
t2 = torch.rand(10) | |
print(f"sending {t2}") | |
dist.send(t2, 1) | |
elif rank == 1: | |
t3 = torch.empty(10) | |
dist.recv(t3, src=0) | |
print(f"recvd {t3}") | |
dist.barrier() | |
print(f"creating group 0,1") | |
dist.new_group([0,1]) | |
print(f"creating group 0") | |
dist.new_group([0]) | |
print(f"creating group 1") | |
dist.new_group([1]) | |
if "OMPI_COMM_WORLD_RANK" in os.environ: | |
worker(int(os.environ["OMPI_COMM_WORLD_RANK"]), int(os.environ["OMPI_COMM_WORLD_SIZE"])) | |
elif __name__ == "__main__": | |
world_size = 2 | |
mp.spawn(worker, args=(world_size,), nprocs=world_size, join=True) |
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