Mooncake store use adxl inferface (#3350)

Use adxl inferface in mooncake store, mooncake PR
https://github.com/kvcache-ai/Mooncake/pull/929

- vLLM version: v0.11.0rc3
- vLLM main: https://github.com/vllm-project/vllm/commit/v0.11.0

---------

Signed-off-by: LCAIZJ <leichao139636@163.com>

vllm_ascend/distributed/mooncake_connector.py

@@ -32,6 +32,7 @@ from vllm.v1.request import RequestStatus
 
 import vllm_ascend.envs as envs_ascend
 from vllm_ascend.ascend_config import get_ascend_config, init_ascend_config
+from vllm_ascend.distributed.mooncake.transfer_engine import get_global_te
 
 if TYPE_CHECKING:
     from vllm.attention.backends.abstract import AttentionMetadata
@@ -879,11 +880,6 @@ class MooncakeConnectorWorker:
                 f"prefill_tp_size: {self._prefill_tp_size} must be greater than"
                 f" or equal to the decode_tp_size: {self._decode_tp_size}")
 
-        if TransferEngine is None:
-            raise RuntimeError("mooncake is not available")
-        logger.info("Initializing Mooncake work %s", engine_id)
-        self.engine = TransferEngine()
-
         # Metadata.
         self.vllm_config = vllm_config
         self.ascend_config = get_ascend_config()
@@ -933,7 +929,8 @@ class MooncakeConnectorWorker:
             hostname = self.side_channel_host
         else:
             hostname = f"{self.side_channel_host}:0:npu_{self.device_id}"
-        self._initialize(hostname=hostname, device_name=None)
+        logger.info("Initializing Mooncake work %s", engine_id)
+        self.engine = get_global_te(hostname, device_name=None)
         self.te_rpc_port = self.engine.get_rpc_port()
 
         # Background thread for sending or receiving KV caches.