Upgrade vllm commit hash to 1216 (#5053)

### What this PR does / why we need it?
Upstream vLLM PR #30212 https://github.com/vllm-project/vllm/pull/30212
refactored the attention backend selection interface, This PR adapts
vllm-ascend's get_attn_backend_cls to align with the new upstream
standard, ensuring compatibility and reducing maintenance overhead.
### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

co-author:[leo-pony][nengjunma@outlook.com](mailto:nengjunma@outlook.com)
- vLLM version: v0.12.0
- vLLM main:
ad32e3e19c

---------

Signed-off-by: zxwang <1476209578@qq.com>
Signed-off-by: leo-pony <nengjunma@outlook.com>
Co-authored-by: leo-pony <nengjunma@outlook.com>

vllm_ascend/platform.py

@@ -355,23 +355,15 @@ class NPUPlatform(Platform):
         CUSTOM_OP_REGISTERED = True
 
     @classmethod
-    def get_attn_backend_cls(
-        cls,
-        selected_backend,
-        head_size,
-        dtype,
-        kv_cache_dtype,
-        block_size,
-        use_mla,
-        has_sink=False,
-        use_sparse=False,
-        # NOTE: Please pay special attention to the order of these parameters.
-        # Although we are only using some of them so far
-        # vllm passes them in sequence when using this interface.
-        use_mm_prefix: bool = False,
-        attn_type: str | None = None,
-    ):
-        # choose attention backend based on use_mla
+    def get_attn_backend_cls(cls, selected_backend, *args, **kwargs):
+        if "attn_selector_config" in kwargs:
+            use_mla = kwargs["attn_selector_config"].use_mla
+            use_sparse = kwargs["attn_selector_config"].use_sparse
+        else:
+            use_mla = kwargs.get("use_mla",
+                                 args[4] if len(args) >= 5 else None)
+            use_sparse = kwargs.get("use_sparse",
+                                    args[6] if len(args) >= 7 else None)
         backend_map = {
             (True, False): "vllm_ascend.attention.mla_v1.AscendMLABackend",
             (False, False):