[CI] Fix broken CI (#1915)

### What this PR does / why we need it?
Fix [#21227](https://github.com/vllm-project/vllm/pull/21227) to make ci
happy

- vLLM version: v0.9.2
- vLLM main:
6b46c4b653

---------

Signed-off-by: wangli <wangli858794774@gmail.com>

vllm_ascend/worker/model_runner_v1.py

@@ -24,7 +24,7 @@ import types
 import weakref
 from contextlib import contextmanager, nullcontext
 from dataclasses import dataclass
-from typing import TYPE_CHECKING, Dict, List, Optional, Union, cast, get_args
+from typing import TYPE_CHECKING, Dict, List, Optional, Union, cast
 
 import numpy as np
 import numpy.typing as npt
@@ -93,7 +93,6 @@ if vllm_version_is("0.9.2"):
     from vllm.model_executor.models.interfaces import has_step_pooler
     from vllm.v1.utils import bind_kv_cache
 else:
-    from vllm.pooling_params import PoolingTask
     from vllm.v1.worker.utils import bind_kv_cache
 
 if TYPE_CHECKING:
@@ -408,13 +407,10 @@ class NPUModelRunner(LoRAModelRunnerMixin):
                 generator = None
 
             if not vllm_version_is("0.9.2") and pooling_params:
-                assert pooling_params.task is not None, (
+                assert (task := pooling_params.task) is not None, (
                     "You did not set `task` in the API")
                 model = cast(VllmModelForPooling, self.model)
-                to_update = (model.pooler.get_pooling_updates(
-                    pooling_params.task))
-                assert to_update is not None, (
-                    f"{pooling_params.task=} is not supported by the model")
+                to_update = model.pooler.get_pooling_updates(task)
                 to_update.apply(pooling_params)
 
             self.requests[req_id] = CachedRequestState(
@@ -1772,7 +1768,6 @@ class NPUModelRunner(LoRAModelRunnerMixin):
             dummy_pooling_params = PoolingParams(task=dummy_task)
 
             to_update = model.pooler.get_pooling_updates(dummy_task)
-            assert to_update is not None
             to_update.apply(dummy_pooling_params)
 
             dummy_metadata = PoolingMetadata(
@@ -2434,7 +2429,4 @@ class NPUModelRunner(LoRAModelRunnerMixin):
         if not is_pooling_model(model):
             return []
 
-        return [
-            task for task in get_args(PoolingTask)
-            if model.pooler.get_pooling_updates(task)
-        ]
+        return list(model.pooler.get_supported_tasks())