[Main2Main] Upgrade vLLM to 0226 (#6813)

### What this PR does / why we need it?

Breaking:
1. https://github.com/vllm-project/vllm/pull/33452
2. https://github.com/vllm-project/vllm/pull/33451
3. https://github.com/vllm-project/vllm/pull/32567
4. https://github.com/vllm-project/vllm/pull/32344

### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: v0.15.0
- vLLM main:
83b47f67b1

---------

Signed-off-by: MrZ20 <2609716663@qq.com>
Signed-off-by: gcanlin <canlinguosdu@gmail.com>
Co-authored-by: MrZ20 <2609716663@qq.com>

vllm_ascend/worker/model_runner_v1.py

@@ -138,12 +138,8 @@ if TYPE_CHECKING:
 else:
     xgr = LazyLoader("xgr", globals(), "xgrammar")
 
-from vllm_ascend.utils import vllm_version_is
 
-if vllm_version_is("v0.15.0"):
-    from vllm.attention.layer import Attention, MLAAttention  # type: ignore
-else:
-    from vllm.model_executor.layers.attention import Attention, MLAAttention
+from vllm.model_executor.layers.attention import Attention, MLAAttention
 
 # if true, allow tensor initialization and casting with internal format (e.g., NZ)
 torch.npu.config.allow_internal_format = True

vllm_ascend/worker/worker.py

@@ -531,6 +531,9 @@ class NPUWorker(WorkerBase):
     def pin_lora(self, lora_id: int) -> bool:
         return self.model_runner.pin_lora(lora_id)
 
+    def reset_encoder_cache(self) -> None:
+        self.model_runner.reset_encoder_cache()
+
     def execute_dummy_batch(self) -> None:
         self.model_runner._dummy_run(num_tokens=self.model_runner.decode_token_per_req, uniform_decode=True)