ACLgraph enable: Test cases revisions for all features (#3388)

### What this PR does / why we need it?
This PR revise the test cases of various features on the warehouse which
add the enablement of aclgraph to the test cases.

### Does this PR introduce _any_ user-facing change?
no

### How was this patch tested?
ut

- vLLM version: v0.11.0rc3
- vLLM main: https://github.com/vllm-project/vllm/commit/v0.11.0

Signed-off-by: lilinsiman <lilinsiman@gmail.com>

tests/e2e/multicard/test_offline_inference_distributed.py

@@ -52,7 +52,7 @@ def test_models_distributed_QwQ():
             dtype=dtype,
             tensor_parallel_size=2,
             distributed_executor_backend="mp",
-            enforce_eager=True,
+            enforce_eager=False,
     ) as vllm_model:
         vllm_model.generate_greedy(example_prompts, max_tokens)
 
@@ -163,11 +163,10 @@ def test_sp_for_qwen3_moe() -> None:
         vllm_model.generate(example_prompts, sampling_params)
 
 
-@pytest.mark.parametrize("enforce_eager", [True, False])
 @pytest.mark.parametrize("model", QWEN_DENSE_MODELS)
 @patch.dict(os.environ, {"VLLM_ASCEND_ENABLE_DENSE_OPTIMIZE": "1"})
 @patch.dict(os.environ, {"VLLM_ASCEND_ENABLE_FLASHCOMM1": "1"})
-def test_models_distributed_Qwen_Dense_with_flashcomm_v1(model, enforce_eager):
+def test_models_distributed_Qwen_Dense_with_flashcomm_v1(model):
     example_prompts = [
         "Hello, my name is",
     ]
@@ -176,7 +175,7 @@ def test_models_distributed_Qwen_Dense_with_flashcomm_v1(model, enforce_eager):
     with VllmRunner(
             snapshot_download(model),
             max_model_len=8192,
-            enforce_eager=enforce_eager,
+            enforce_eager=False,
             dtype="auto",
             tensor_parallel_size=2,
             quantization="ascend",
@@ -184,12 +183,10 @@ def test_models_distributed_Qwen_Dense_with_flashcomm_v1(model, enforce_eager):
         vllm_model.generate_greedy(example_prompts, max_tokens)
 
 
-@pytest.mark.parametrize("enforce_eager", [True, False])
 @pytest.mark.parametrize("model", QWEN_DENSE_MODELS)
 @patch.dict(os.environ, {"VLLM_ASCEND_ENABLE_DENSE_OPTIMIZE": "1"})
 @patch.dict(os.environ, {"VLLM_ASCEND_ENABLE_PREFETCH_MLP": "1"})
-def test_models_distributed_Qwen_Dense_with_prefetch_mlp_weight(
-        model, enforce_eager):
+def test_models_distributed_Qwen_Dense_with_prefetch_mlp_weight(model):
     example_prompts = [
         "Hello, my name is",
     ]
@@ -198,7 +195,7 @@ def test_models_distributed_Qwen_Dense_with_prefetch_mlp_weight(
     with VllmRunner(
             snapshot_download(model),
             max_model_len=8192,
-            enforce_eager=enforce_eager,
+            enforce_eager=False,
             dtype="auto",
             tensor_parallel_size=2,
             quantization="ascend",