c9370f493e
Signed-off-by: yenuo26 <410167048@qq.com> Signed-off-by: wangyu <53896905+yenuo26@users.noreply.github.com> Signed-off-by: Yueqian Lin <70319226+linyueqian@users.noreply.github.com> Signed-off-by: wangyu <410167048@qq.com> Co-authored-by: yenuo26 <410167048@example.com> Co-authored-by: R2-Y <ruiruyang2@gmail.com> Co-authored-by: Yueqian Lin <70319226+linyueqian@users.noreply.github.com>
75 lines
2.3 KiB
Python
75 lines
2.3 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 offline tests for Qwen3-TTS CustomVoice model with text input and audio output.
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Async_chunk disable, cuda_graph disabled (no_async_chunk stage config).
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CUDA graph is disabled by setting engine_args.enforce_eager=true via modify_stage_config().
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Same structure as test_qwen3_omni (models, stage_configs, test_params, parametrize omni_runner).
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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 modify_stage_config
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from tests.utils import hardware_test
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MODEL = "Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice"
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def get_cuda_graph_config():
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path = modify_stage_config(
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get_stage_config(),
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updates={
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"stage_args": {
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0: {
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"engine_args.enforce_eager": "true",
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},
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1: {"engine_args.enforce_eager": "true"},
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},
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},
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)
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return path
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def get_stage_config(name: str = "qwen3_tts_no_async_chunk.yaml"):
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"""Get the no_async_chunk stage config path (async_chunk disable, cuda_graph disabled)."""
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return str(Path(__file__).parent.parent.parent.parent / "vllm_omni" / "model_executor" / "stage_configs" / name)
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# Same structure as test_qwen3_omni: models, stage_configs, test_params
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tts_server_params = [
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pytest.param(
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(MODEL, get_cuda_graph_config()),
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id="no_cuda_graph",
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)
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]
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def get_prompt():
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"""Text prompt for text-to-audio (same role as get_question in test_qwen3_omni)."""
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return "Hello, this is a test for text to audio."
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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_runner", tts_server_params, indirect=True)
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def test_text_to_audio_001(omni_runner, omni_runner_handler) -> None:
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"""
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Test text input processing and audio output via offline Omni runner.
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Deploy Setting: qwen3_tts_no_async_chunk.yaml + enforce_eager=true
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Input Modal: text
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Output Modal: audio
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Input Setting: stream=False
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Datasets: few requests
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"""
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request_config = {"input": get_prompt(), "voice": "vivian"}
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omni_runner_handler.send_audio_speech_request(request_config)
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