[P/D] LayerwiseConnector supports the virtual push functionality on node D. (#7361)

### What this PR does / why we need it?
LayerwiseConnector supports the virtual push functionality on node D.By
adding a do_virtual flag to request metadata, the system can now
identify and process certain requests virtually, bypassing the actual KV
cache transfer process. This allows for immediate completion of these
requests from the consumer's perspective, potentially enabling
optimizations or specific testing scenarios where physical data transfer
is not required.
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
By ci

- vLLM version: v0.17.0
- vLLM main:
4034c3d32e

---------

Signed-off-by: wangxiaoteng <wangxiaoteng@huawei.com>

vllm_ascend/distributed/kv_transfer/kv_p2p/mooncake_layerwise_connector.py

@@ -114,6 +114,7 @@ class ReqMeta:
     remote_cache_tokens: int = 0
     local_computed_tokens: int = 0
     local_transed_tokens: int = 0
+    do_virtual: bool = False
 
 
 @dataclass
@@ -587,6 +588,7 @@ class MooncakeLayerwiseConnectorMetadata(KVConnectorMetadata):
             remote_tp_size=kv_transfer_params.get("remote_tp_size"),
             remote_pcp_size=kv_transfer_params.get("remote_pcp_size"),
             remote_dcp_size=kv_transfer_params.get("remote_dcp_size"),
+            do_virtual=kv_transfer_params.get("do_virtual"),
             chunk_finish=chunk_finish,
             remote_cache_tokens=remote_cache_tokens,
             local_computed_tokens=local_computed_tokens,
@@ -763,6 +765,7 @@ class MooncakeLayerwiseConnectorScheduler:
 
     def update_state_after_alloc(self, request: "Request", blocks: "KVCacheBlocks", num_external_tokens: int):
         params = request.kv_transfer_params
+        do_virtual = params.get("do_virtual")
         logger.debug(
             "MooncakeLayerwiseConnector update_state_after_alloc: num_external_tokens=%s, kv_transfer_params=%s",
             num_external_tokens,
@@ -804,7 +807,7 @@ class MooncakeLayerwiseConnectorScheduler:
                 remote_dcp_size=self.vllm_config.parallel_config.decode_context_parallel_size,
                 remote_cached_tokens=remote_cached_tokens,
             )
-
+            if not do_virtual:
                 future = self.executor.submit(
                     self._access_metaserver, url=params.get("metaserver", None), message=kv_transfer_params
                 )
@@ -1034,6 +1037,7 @@ class MooncakeLayerwiseConnectorWorker:
         # TODO(kunpengW-code): Reuse k_buffer, v_buffer
         self.k_quant_buffer: torch.Tensor | None = None
         self.v_quant_buffer: torch.Tensor | None = None
+        self.virtual_request: set[str] = set()
 
     def create_kv_buffer(self, first_kv_cache_tuple):
         alignment = 2 * 1024 * 1024
@@ -1231,6 +1235,8 @@ class MooncakeLayerwiseConnectorWorker:
             if self.vllm_config.kv_transfer_config.is_kv_consumer
             else set()
         )
+        done_recving.update(self.virtual_request)
+        self.virtual_request = set()
         if len(done_recving) > 0:
             logger.info(
                 f"Number of completed KV cache recv requests: {len(done_recving)}, receive requests: {done_recving}"
@@ -1403,6 +1409,9 @@ class MooncakeLayerwiseConnectorWorker:
         self.current_layer = 0
         if self.vllm_config.kv_transfer_config.is_kv_consumer:
             for req_id, meta in metadata.requests.items():
+                if meta.do_virtual:
+                    self.virtual_request.add(req_id)
+                    continue
                 external_req_id = get_external_request_id(req_id)
                 assert self.kv_recv_layer_thread is not None
                 with self.kv_recv_layer_thread.lock: