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* Update TensorRT-LLM --------- Co-authored-by: Bhuvanesh Sridharan <bhuvan.sridharan@gmail.com> Co-authored-by: Morgan Funtowicz <funtowiczmo@gmail.com> Co-authored-by: Eddie-Wang1120 <wangjinheng1120@163.com> Co-authored-by: meghagarwal <16129366+megha95@users.noreply.github.com>
79 lines
2.1 KiB
Python
79 lines
2.1 KiB
Python
import pickle # nosec B403
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import socket
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import sys
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from concurrent.futures import Future
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from typing import Any, List, Optional
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from mpi4py.futures import MPIPoolExecutor
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class MPINodeState:
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''' MPINodeState acts as a central global state shares between tasks on MPI node.
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An example:
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def task():
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if MPINodeState.state is None:
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MPINodeState.state = 0
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MPINodeState.state += 1
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return MPINodeState.state
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n_workers = 4
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with MPIPoolExecutor(max_workers=n_workers) as executor:
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for i in range(2):
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futures = [executor.submit(task) for i in range(n_workers)]
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This should produce the following output:
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- [1, 1, 1, 1]
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- [2, 2, 2, 2]
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'''
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state = None
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@staticmethod
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def is_initialized() -> bool:
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return MPINodeState.state is not None
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class MpiSession:
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def __init__(self, n_workers: int):
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self.n_workers = n_workers
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self.mpi_pool: Optional[MPIPoolExecutor] = None
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self._start_mpi_pool()
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def submit(self, task: (...), *args, **kwargs) -> List[Future]:
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return [
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self.mpi_pool.submit(task, *args, **kwargs)
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for i in range(self.n_workers)
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]
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def submit_sync(self, task: (...), *args, **kwargs) -> List[Any]:
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futures = [
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self.mpi_pool.submit(task, *args, **kwargs)
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for i in range(self.n_workers)
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]
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return [future.result() for future in futures]
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def shutdown(self):
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if self.mpi_pool is not None:
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self.mpi_pool.shutdown()
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self.mpi_pool = None
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def _start_mpi_pool(self):
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assert not self.mpi_pool, 'MPI session already started'
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self.mpi_pool = MPIPoolExecutor(max_workers=self.n_workers,
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path=sys.path)
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def __del__(self):
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self.shutdown()
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def __reduce__(self):
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raise TypeError('cannot pickle MPI session')
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def find_free_port() -> int:
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with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
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s.bind(('', 0))
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return s.getsockname()[1]
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