support ray

Signed-off-by: Kunshang Ji <kunshang.ji@intel.com>

Author: jikunshang

vllm/v1/engine/async_llm.py

@@ -23,6 +23,7 @@
 from vllm.v1.engine.detokenizer import Detokenizer
 from vllm.v1.engine.processor import Processor
 from vllm.v1.executor.abstract import Executor
+from vllm.v1.executor.ray_utils import initialize_ray_cluster
 
 logger = init_logger(__name__)
 
@@ -150,7 +151,11 @@ def _get_executor_cls(cls, vllm_config: VllmConfig) -> Type[Executor]:
         executor_class: Type[Executor]
         distributed_executor_backend = (
             vllm_config.parallel_config.distributed_executor_backend)
-        if distributed_executor_backend == "mp":
+        if distributed_executor_backend == "ray":
+            initialize_ray_cluster(vllm_config.parallel_config)
+            from vllm.v1.executor.ray_executor import RayExecutor
+            executor_class = RayExecutor
+        elif distributed_executor_backend == "mp":
             from vllm.v1.executor.multiproc_executor import MultiprocExecutor
             executor_class = MultiprocExecutor
         else: