Files
vllm/vllm/distributed/device_communicators/mnnvl_compat.py
Robert Shaw 5a93b9162b [MoE Refactor] Integrate Naive Prepare Finalize into MK (#32567)
Signed-off-by: Robert Shaw <robshaw@redhat.com>
Signed-off-by: Amir Klein <203507526+amirkl94@users.noreply.github.com>
Co-authored-by: Robert Shaw <robshaw@redhat.com>
Co-authored-by: amirkl94 <203507526+amirkl94@users.noreply.github.com>
2026-01-27 01:28:02 +00:00

39 lines
1.2 KiB
Python

# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from typing import Any
import torch.distributed as dist
from flashinfer.comm.mnnvl import CommBackend as CommBackend
from vllm.utils.flashinfer import has_flashinfer_all2all
assert has_flashinfer_all2all(), "Flashinfer alltoallv module cannot be found"
class CustomCommunicator(CommBackend):
def __init__(self, group):
self._group = group
def Get_rank(self) -> int:
return self._group.rank()
def Get_size(self) -> int:
return self._group.size()
def allgather(self, data: int):
gathered = [None] * self.Get_size()
dist.all_gather_object(gathered, data, group=self._group)
return gathered
# NOTE(rob): CommBackend is an abstract class, and bcast/barrier
# are unimplemented on vLLM side. If we need to utilize these
# methods in the future, can create a concrete implementation.
def bcast(self, data: Any, root: int) -> Any:
raise NotImplementedError
def barrier(self) -> None:
raise NotImplementedError
def Split(self, color: int, key: int) -> "CustomCommunicator":
return self