drop ascend scheduler (#4498)

Ascend scheduler was added for non chunk prefill case before, since that
the npu ops didn't work well with chunked prefill.

Now the ops with chunked prefill work better, it's time to remove the
ascend scheduler to use vLLM default scheduler.

- vLLM version: v0.11.2

---------

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>

tests/e2e/multicard/test_expert_parallel.py

@@ -15,23 +15,14 @@ def test_e2e_ep_correctness(model_name):
     max_tokens = 5
 
     # FIXME: Really strange that chunked prefill might lead to different results, investigate further
-    with VllmRunner(
-            model_name,
-            tensor_parallel_size=2,
-            additional_config={"ascend_scheduler_config": {
-                "enabled": True
-            }},
-            enforce_eager=False) as vllm_model:
+    with VllmRunner(model_name, tensor_parallel_size=2,
+                    enforce_eager=False) as vllm_model:
         tp_output = vllm_model.generate_greedy(example_prompts, max_tokens)
 
-    with VllmRunner(
-            model_name,
-            tensor_parallel_size=2,
-            enable_expert_parallel=True,
-            additional_config={"ascend_scheduler_config": {
-                "enabled": True
-            }},
-            enforce_eager=False) as vllm_model:
+    with VllmRunner(model_name,
+                    tensor_parallel_size=2,
+                    enable_expert_parallel=True,
+                    enforce_eager=False) as vllm_model:
         ep_output = vllm_model.generate_greedy(example_prompts, max_tokens)
 
     check_outputs_equal(