[Worker] Register mindie_turbo while initializing NPUWorker (#13)

Add `try_register_lib` and import mindie-turbo when init.

---------

Signed-off-by: hw_whx <wanghexiang7@huawei.com>
Co-authored-by: hw_whx <wanghexiang7@huawei.com>

vllm_ascend/utils.py

@@ -0,0 +1,35 @@
+#
+# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
+# This file is a part of the vllm-ascend project.
+# Adapted from vllm-project/vllm/vllm/worker/worker.py
+# Copyright 2023 The vLLM team.
+#
+# 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.logger import init_logger
+
+logger = init_logger(__name__)
+
+
+def try_register_lib(lib_name: str, lib_info: str = ""):
+    import importlib
+    import importlib.util
+    try:
+        module_spec = importlib.util.find_spec(lib_name)
+        if module_spec is not None:
+            importlib.import_module(lib_name)
+            if lib_info:
+                logger.info(lib_info)
+    except Exception:
+        pass

vllm_ascend/worker.py

@@ -47,6 +47,7 @@ from vllm.worker.worker_base import (LocalOrDistributedWorkerBase, WorkerBase,
                                      WorkerInput)
 
 from vllm_ascend.model_runner import NPUModelRunner
+from vllm_ascend.utils import try_register_lib
 
 logger = init_logger(__name__)
 
@@ -69,6 +70,11 @@ class NPUWorker(LocalOrDistributedWorkerBase):
     ) -> None:
 
         WorkerBase.__init__(self, vllm_config=vllm_config)
+        # Try to import mindie_turbo to accelerate vLLM inference.
+        try_register_lib(
+            "mindie_turbo",
+            "MindIE Turbo is installed. vLLM inference will be accelerated with MindIE Turbo."
+        )
         # distribute related config
         self.parallel_config.rank = rank
         self.local_rank = local_rank