[Model] Add Ming-omni-tts dense 0.5B pipeline (#2906)

Signed-off-by: akshatvishu <akshatnayak197@gmail.com>
Co-authored-by: Hongsheng Liu <liuhongsheng4@huawei.com>

tests/e2e/online_serving/test_ming_tts.py

@@ -0,0 +1,92 @@
+# SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+"""
+E2E online serving tests for Ming-omni-tts (dense) model.
+Tests text-to-audio via /v1/audio/speech endpoint.
+"""
+
+import os
+
+os.environ["VLLM_WORKER_MULTIPROC_METHOD"] = "spawn"
+
+import pytest
+
+from tests.helpers.mark import hardware_test
+from tests.helpers.runtime import OmniServerParams
+from tests.helpers.stage_config import get_deploy_config_path
+
+pytestmark = [pytest.mark.advanced_model, pytest.mark.omni]
+
+MODEL = "inclusionAI/Ming-omni-tts-0.5B"
+DEPLOY_CONFIG = get_deploy_config_path("ming_tts.yaml")
+
+no_async_chunk_params = [
+    pytest.param(
+        OmniServerParams(
+            model=MODEL,
+            stage_config_path=DEPLOY_CONFIG,
+            server_args=["--enforce-eager", "--no-async-chunk"],
+        ),
+        id="no_async_chunk",
+    )
+]
+
+async_chunk_params = [
+    pytest.param(
+        OmniServerParams(
+            model=MODEL,
+            stage_config_path=DEPLOY_CONFIG,
+            server_args=["--enforce-eager"],
+        ),
+        id="async_chunk",
+    )
+]
+
+
+def get_prompt(prompt_type="zh"):
+    prompts = {
+        "zh": "今天天气真不错，适合出去散散步。",
+        "zh_short": "这款产品的名字，叫变态坑爹牛肉丸。",
+    }
+    return prompts.get(prompt_type, prompts["zh"])
+
+
+@hardware_test(res={"cuda": "L4"}, num_cards=1)
+@pytest.mark.parametrize("omni_server", no_async_chunk_params, indirect=True)
+def test_text_to_audio_non_streaming_001(omni_server, openai_client) -> None:
+    """
+    Deploy Setting: ming_tts.yaml with --no-async-chunk
+    Input Modal: text
+    Output Modal: audio
+    Input Setting: stream=False
+    Datasets: two concurrent requests
+    """
+    request_config = {
+        "model": omni_server.model,
+        "input": get_prompt("zh"),
+        "stream": False,
+        "response_format": "wav",
+        "timeout": 300.0,
+    }
+    openai_client.send_audio_speech_request(request_config, request_num=2)
+
+
+@hardware_test(res={"cuda": "L4"}, num_cards=1)
+@pytest.mark.parametrize("omni_server", async_chunk_params, indirect=True)
+def test_text_to_audio_streaming_001(omni_server, openai_client) -> None:
+    """
+    Deploy Setting: ming_tts.yaml (async_chunk=true)
+    Input Modal: text + voice
+    Output Modal: audio (streamed)
+    Input Setting: stream=True
+    Datasets: single request
+    """
+    request_config = {
+        "model": omni_server.model,
+        "input": get_prompt("zh_short"),
+        "voice": "灵小甄",
+        "stream": True,
+        "response_format": "wav",
+        "timeout": 300.0,
+    }
+    openai_client.send_audio_speech_request(request_config)