indevnandlinyueqian
6fc38e0467
Signed-off-by: linyueqian <linyueqian@outlook.com> Signed-off-by: indevn <indevn@outlook.com> Co-authored-by: linyueqian <linyueqian@outlook.com>
135 lines
4.2 KiB
Python
135 lines
4.2 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 CosyVoice3 TTS model with voice cloning.
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These tests verify the /v1/audio/speech endpoint works correctly with
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the CosyVoice3 model, which requires reference audio for voice cloning.
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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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from pathlib import Path
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import pytest
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from tests.conftest import OmniServerParams
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from tests.utils import hardware_test
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MODEL = "FunAudioLLM/Fun-CosyVoice3-0.5B-2512"
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# Official CosyVoice zero-shot prompt audio and its transcript
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REF_AUDIO_URL = "https://raw.githubusercontent.com/FunAudioLLM/CosyVoice/main/asset/zero_shot_prompt.wav"
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REF_TEXT = "希望你以后能够做的比我还好呦。"
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def get_stage_config(name: str = "cosyvoice3.yaml"):
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"""Get the stage config path from vllm_omni model_executor stage_configs."""
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return str(Path(__file__).parent.parent.parent.parent / "vllm_omni" / "model_executor" / "stage_configs" / name)
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def get_prompt(prompt_type="zh"):
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prompts = {
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"zh": "收到好友从远方寄来的生日礼物，那份意外的惊喜与深深的感动让我热泪盈眶。",
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"en": "Hello, this is a voice cloning test with English text.",
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}
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return prompts.get(prompt_type, prompts["zh"])
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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_stage_config(),
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server_args=["--trust-remote-code", "--disable-log-stats"],
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),
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id="cosyvoice3",
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)
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]
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tts_async_chunk_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_stage_config("cosyvoice3_async_chunk.yaml"),
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server_args=["--trust-remote-code", "--disable-log-stats"],
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),
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id="cosyvoice3_async_chunk",
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)
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]
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@pytest.mark.core_model
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@pytest.mark.omni
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@hardware_test(res={"cuda": "H100"}, num_cards=1)
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@pytest.mark.parametrize("omni_server", tts_server_params, indirect=True)
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def test_voice_clone_zh_001(omni_server, openai_client) -> None:
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"""
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Test voice cloning TTS with Chinese text via OpenAI API.
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Deploy Setting: default yaml
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Input Modal: text + ref_audio + ref_text
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Output Modal: audio
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Input Setting: stream=False
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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("zh"),
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"stream": False,
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"response_format": "wav",
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"ref_audio": REF_AUDIO_URL,
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"ref_text": REF_TEXT,
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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.omni
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@hardware_test(res={"cuda": "H100"}, num_cards=1)
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@pytest.mark.parametrize("omni_server", tts_async_chunk_server_params, indirect=True)
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def test_voice_clone_zh_002(omni_server, openai_client) -> None:
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"""
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Test voice cloning TTS with Chinese text via async_chunk streaming.
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Deploy Setting: cosyvoice3_async_chunk.yaml
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Input Modal: text + ref_audio + ref_text
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Output Modal: audio (streamed)
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Input Setting: stream=True
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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("zh"),
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"stream": True,
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"response_format": "wav",
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"ref_audio": REF_AUDIO_URL,
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"ref_text": REF_TEXT,
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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.omni
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@hardware_test(res={"cuda": "H100"}, num_cards=1)
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@pytest.mark.parametrize("omni_server", tts_server_params, indirect=True)
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def test_voice_clone_en_001(omni_server, openai_client) -> None:
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"""
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Test voice cloning TTS with English text via OpenAI API.
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Deploy Setting: default yaml
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Input Modal: text + ref_audio + ref_text
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Output Modal: audio
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Input Setting: stream=False
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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("en"),
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"stream": False,
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"response_format": "wav",
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"ref_audio": REF_AUDIO_URL,
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"ref_text": REF_TEXT,
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}
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openai_client.send_audio_speech_request(request_config)
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