akshatvishuandHongsheng Liu
2fa4c7a4a9
Signed-off-by: akshatvishu <akshatnayak197@gmail.com> Co-authored-by: Hongsheng Liu <liuhongsheng4@huawei.com>
93 lines
2.6 KiB
Python
93 lines
2.6 KiB
Python
# 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)
|