mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
synced 2026-01-14 06:27:45 +08:00
75057cd036
* Update TensorRT-LLM --------- Co-authored-by: Puneesh Khanna <puneesh.khanna@tii.ae> Co-authored-by: Ethan Zhang <26497102+ethnzhng@users.noreply.github.com>
42 lines
1017 B
Python
42 lines
1017 B
Python
#!/usr/bin/env python
|
|
from mpi4py.futures import MPICommExecutor
|
|
|
|
from tensorrt_llm._utils import mpi_comm, mpi_rank, mpi_world_size
|
|
from tensorrt_llm.llmapi.mpi_session import MpiCommSession, MPINodeState
|
|
|
|
|
|
class MpiTask:
|
|
|
|
def __init__(self):
|
|
self.executor = MpiCommSession(n_workers=4)
|
|
|
|
@staticmethod
|
|
def task():
|
|
if MPINodeState.state is None:
|
|
MPINodeState.state = 0
|
|
|
|
MPINodeState.state += 1
|
|
print(f"rank: {mpi_rank()}, state: {MPINodeState.state}")
|
|
|
|
return (mpi_rank(), MPINodeState.state)
|
|
|
|
def run(self):
|
|
results = self.executor.submit_sync(MpiTask.task)
|
|
results = sorted(results, key=lambda x: x[0])
|
|
assert results == [(i, 1) for i in range(mpi_world_size())], results
|
|
|
|
|
|
def main():
|
|
# The root node
|
|
if mpi_rank() == 0:
|
|
the_task = MpiTask()
|
|
the_task.run()
|
|
|
|
else: # The worker node
|
|
with MPICommExecutor(mpi_comm()) as executor:
|
|
pass
|
|
|
|
|
|
if __name__ == '__main__':
|
|
main()
|