Add monckey patch

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>

Author: wangxiyuan

vllm_ascend/patch/__init__.py

@@ -0,0 +1,18 @@
+#
+# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
+# This file is a part of the vllm-ascend project.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+from vllm_ascend.patch import patch_commnicator  # noqa

vllm_ascend/patch/patch_commnicator.py

@@ -0,0 +1,64 @@
+#
+# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
+# This file is a part of the vllm-ascend project.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# This file is used to monckey patch communicator in vllm to support ascend.
+# Remove this file when vllm support by
+# https://github.com/vllm-project/vllm/pull/11324.
+
+from vllm import platforms
+from vllm.distributed.parallel_state import GroupCoordinator
+from vllm.utils import resolve_obj_by_qualname
+
+
+class GroupCoordinatorPatch(GroupCoordinator):
+
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+
+        device_comm_cls = resolve_obj_by_qualname(
+            platforms.current_platform.get_device_communicator_cls())
+        self.communicator = device_comm_cls(group=self.device_group,
+                                            unique_name=self.unique_name)
+
+    def all_reduce(self, input_):
+        # Bypass the function if we are using only 1 GPU.
+        if self.world_size == 1:
+            return input_
+
+        return self.communicator.all_reduce(input_)
+
+    def gather(self, input_, dst=0, dim=-1):
+        # Bypass the function if we are using only 1 GPU.
+        if self.world_size == 1:
+            return input_
+        assert -input_.dim() <= dim < input_.dim(), (
+            f"Invalid dim ({dim}) for input tensor with shape {input_.size()}")
+        if dim < 0:
+            # Convert negative dim to positive.
+            dim += input_.dim()
+
+        return self.communicator.gather(input_, dst, dim)
+
+    def all_gather(self, input_, dim=-1):
+        # Bypass the function if we are using only 1 GPU.
+        if self.world_size == 1:
+            return input_
+        assert -input_.dim() <= dim < input_.dim(), (
+            f"Invalid dim ({dim}) for input tensor with shape {input_.size()}")
+        return self.communicator.all_gather(input_, dim)
+
+
+GroupCoordinator = GroupCoordinatorPatch

vllm_ascend/platform.py

@@ -89,7 +89,9 @@ def mem_get_info(cls) -> Tuple[int, int]:
     @classmethod
     def check_and_update_config(cls, vllm_config: VllmConfig) -> None:
         # Register ops when setup.
+        # Register patch
         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":