[CI] Add single request test case for aclgraph (#3392)

### What this PR does / why we need it?
This pr adds online single request DP2 test case for aclgraph

### 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_single_request_aclgraph.py

@@ -0,0 +1,77 @@
+# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
+# Copyright 2023 The vLLM team.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# This file is a part of the vllm-ascend project.
+#
+import asyncio
+from typing import Any
+
+import openai
+import pytest
+from vllm.utils import get_open_port
+
+from tests.e2e.conftest import RemoteOpenAIServer
+
+MODELS = [
+    "Qwen/Qwen3-30B-A3B",
+]
+
+DATA_PARALLELS = [2]
+
+prompts = [
+    "San Francisco is a",
+]
+
+api_keyword_args = {
+    "max_tokens": 10,
+}
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("model", MODELS)
+@pytest.mark.parametrize("dp_size", DATA_PARALLELS)
+async def test_single_request_aclgraph(model: str, dp_size: int) -> None:
+    port = get_open_port()
+    env_dict = {
+        "TASK_QUEUE_ENABLE": "1",
+        "HCCL_OP_EXPANSION_MODE": "AIV",
+    }
+    server_args = [
+        "--no-enable-prefix-caching", "--tensor-parallel-size", "1",
+        "--data-parallel-size",
+        str(dp_size), "--port",
+        str(port), "--trust-remote-code", "--gpu-memory-utilization", "0.9"
+    ]
+    request_keyword_args: dict[str, Any] = {
+        **api_keyword_args,
+    }
+    with RemoteOpenAIServer(model,
+                            vllm_serve_args=server_args,
+                            server_port=port,
+                            env_dict=env_dict,
+                            auto_port=False) as server:
+        client = server.get_async_client()
+
+        try:
+            batch = await asyncio.wait_for(client.completions.create(
+                model=model,
+                prompt=prompts,
+                **request_keyword_args,
+            ),
+                                           timeout=10.0)
+        except asyncio.TimeoutError:
+            pytest.fail("Model did not return response within 10 seconds")
+
+        choices: list[openai.types.CompletionChoice] = batch.choices
+        assert choices[0].text, "empty response"