Files
ray-project--ray/python/ray/util/collective/examples/nccl_allreduce_example.py
T
2026-07-13 13:17:40 +08:00

38 lines
941 B
Python

import cupy as cp
import ray
import ray.util.collective as collective
@ray.remote(num_gpus=1)
class Worker:
def __init__(self):
self.send = cp.ones((4,), dtype=cp.float32)
self.recv = cp.zeros((4,), dtype=cp.float32)
def setup(self, world_size, rank):
collective.init_collective_group(world_size, rank, "nccl", "default")
return True
def compute(self):
collective.allreduce(self.send, "default")
return self.send
def destroy(self):
collective.destroy_group()
if __name__ == "__main__":
send = cp.ones((4,), dtype=cp.float32)
ray.init(num_gpus=2)
num_workers = 2
workers = []
init_rets = []
for i in range(num_workers):
w = Worker.remote()
workers.append(w)
init_rets.append(w.setup.remote(num_workers, i))
_ = ray.get(init_rets)
results = ray.get([w.compute.remote() for w in workers])
ray.shutdown()