Yueqian LinandHongsheng Liu
afa2b09684
Signed-off-by: Yueqian Lin <linyueqian@outlook.com> Signed-off-by: Yueqian Lin <70319226+linyueqian@users.noreply.github.com> Co-authored-by: Hongsheng Liu <liuhongsheng4@huawei.com>
118 lines
3.4 KiB
Python
118 lines
3.4 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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"""
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E2E Online tests for MOSS-TTS-Nano model with text input and audio output.
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These tests verify the /v1/audio/speech endpoint works correctly with
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actual model inference, not mocks.
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"""
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import os
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os.environ["VLLM_WORKER_MULTIPROC_METHOD"] = "spawn"
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os.environ["VLLM_TEST_CLEAN_GPU_MEMORY"] = "0"
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import pytest
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from tests.helpers.mark import hardware_test
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from tests.helpers.runtime import OmniServerParams
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from tests.helpers.stage_config import get_deploy_config_path
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MODEL = "OpenMOSS-Team/MOSS-TTS-Nano"
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def get_prompt(prompt_type="text"):
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"""Text prompt for text-to-audio tests."""
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prompts = {
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"text": "Hello, this is a test of MOSS-TTS-Nano text to speech synthesis.",
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"chinese": "你好，这是MOSS-TTS-Nano的语音合成测试。",
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}
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return prompts.get(prompt_type, prompts["text"])
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tts_server_params = [
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pytest.param(
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OmniServerParams(
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model=MODEL,
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stage_config_path=get_deploy_config_path("moss_tts_nano.yaml"),
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server_args=["--disable-log-stats"],
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),
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id="moss_tts_nano",
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)
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]
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@pytest.mark.core_model
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@pytest.mark.advanced_model
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@pytest.mark.omni
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@hardware_test(res={"cuda": "L4"}, num_cards=1)
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@pytest.mark.parametrize("omni_server", tts_server_params, indirect=True)
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def test_text_to_audio_001(omni_server, openai_client) -> None:
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"""
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Test text input processing and audio output via /v1/audio/speech.
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Deploy Setting: default yaml
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Input Modal: text
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Output Modal: audio (48 kHz)
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Input Setting: stream=False, voice=Junhao
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Datasets: single request
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"""
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request_config = {
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"model": omni_server.model,
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"input": get_prompt(),
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"stream": False,
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"response_format": "wav",
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"voice": "Junhao",
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}
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openai_client.send_audio_speech_request(request_config)
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@pytest.mark.core_model
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@pytest.mark.advanced_model
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@pytest.mark.omni
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@hardware_test(res={"cuda": "L4"}, num_cards=1)
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@pytest.mark.parametrize("omni_server", tts_server_params, indirect=True)
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def test_text_to_audio_002(omni_server, openai_client) -> None:
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"""
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Test streaming text-to-audio via /v1/audio/speech.
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Deploy Setting: default yaml
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Input Modal: text
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Output Modal: audio (48 kHz, PCM stream)
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Input Setting: stream=True, voice=Ava
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Datasets: single request
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"""
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request_config = {
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"model": omni_server.model,
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"input": get_prompt(),
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"stream": True,
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"response_format": "pcm",
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"voice": "Ava",
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}
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openai_client.send_audio_speech_request(request_config)
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@pytest.mark.core_model
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@pytest.mark.advanced_model
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@pytest.mark.omni
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@hardware_test(res={"cuda": "L4"}, num_cards=1)
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@pytest.mark.parametrize("omni_server", tts_server_params, indirect=True)
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def test_text_to_audio_003(omni_server, openai_client) -> None:
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"""
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Test Chinese text-to-audio via /v1/audio/speech.
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Deploy Setting: default yaml
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Input Modal: text (Chinese)
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Output Modal: audio (48 kHz)
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Input Setting: stream=False, voice=Junhao
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Datasets: single request
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"""
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request_config = {
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"model": omni_server.model,
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"input": get_prompt("chinese"),
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"stream": False,
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"response_format": "wav",
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"voice": "Junhao",
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}
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openai_client.send_audio_speech_request(request_config)
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