[dist] fix communicator patch

setup.py

@@ -95,7 +95,7 @@ def _read_requirements(filename: str) -> List[str]:
         "Topic :: Scientific/Engineering :: Artificial Intelligence",
         "Topic :: Scientific/Engineering :: Information Analysis",
     ],
-    packages=find_packages(exclude=("docs", "examples", "tests*", "patch")),
+    packages=find_packages(exclude=("docs", "examples", "tests*")),
     python_requires=">=3.9",
     install_requires=get_requirements(),
     extras_require={},

vllm_ascend/patch/patch_commnicator.py

@@ -19,11 +19,11 @@
 # https://github.com/vllm-project/vllm/pull/11324.
 
 import torch
-from vllm.distributed.parallel_state import GroupCoordinator
+import vllm
 from vllm.utils import resolve_obj_by_qualname
 
 
-class GroupCoordinatorPatch(GroupCoordinator):
+class GroupCoordinatorPatch(vllm.distributed.parallel_state.GroupCoordinator):
 
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
@@ -66,4 +66,4 @@ def all_gather(self, input_, dim=-1):
         return self.communicator.all_gather(input_, dim)
 
 
-GroupCoordinator = GroupCoordinatorPatch
+vllm.distributed.parallel_state.GroupCoordinator = GroupCoordinatorPatch

vllm_ascend/platform.py

@@ -96,9 +96,8 @@ def mem_get_info(cls) -> Tuple[int, int]:
 
     @classmethod
     def check_and_update_config(cls, vllm_config: VllmConfig) -> None:
-        # Register ops and patch when setup.
+        # Register ops when setup.
         from vllm_ascend import ops  # noqa: F401
-        from vllm_ascend import patch  # noqa: F401
 
         parallel_config = vllm_config.parallel_config
         if parallel_config.worker_cls == "auto":

vllm_ascend/worker.py

@@ -457,6 +457,8 @@ def init_worker_distributed_environment(
         backend: str = "hccl") -> None:
     """Initialize the distributed environment."""
     set_custom_all_reduce(not parallel_config.disable_custom_all_reduce)
+    # register communicator patch before init dist env
+    from vllm_ascend import patch  # noqa: F401
 
     init_distributed_environment(parallel_config.world_size, rank,
                                  distributed_init_method, local_rank, backend)