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>
84 lines
2.7 KiB
Python
84 lines
2.7 KiB
Python
# SPDX-License-Identifier: Apache-2.0
|
|
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
|
|
"""
|
|
E2E offline tests for Qwen3-TTS Base model with text input and audio output.
|
|
|
|
Async_chunk disable, cuda_graph disabled (no_async_chunk stage config).
|
|
CUDA graph is disabled by setting engine_args.enforce_eager=true via modify_stage_config().
|
|
Same structure as test_qwen3_omni (models, stage_configs, test_params, parametrize omni_runner).
|
|
"""
|
|
|
|
import os
|
|
|
|
os.environ["VLLM_WORKER_MULTIPROC_METHOD"] = "spawn"
|
|
os.environ["VLLM_TEST_CLEAN_GPU_MEMORY"] = "0"
|
|
|
|
from pathlib import Path
|
|
|
|
import pytest
|
|
|
|
from tests.conftest import modify_stage_config
|
|
from tests.utils import hardware_test
|
|
|
|
MODEL = "Qwen/Qwen3-TTS-12Hz-0.6B-Base"
|
|
REF_AUDIO_URL = "https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen3-TTS-Repo/clone_2.wav"
|
|
REF_TEXT = "Okay. Yeah. I resent you. I love you. I respect you. But you know what? You blew it! And thanks to you."
|
|
|
|
|
|
def get_cuda_graph_config():
|
|
path = modify_stage_config(
|
|
get_stage_config(),
|
|
updates={
|
|
"stage_args": {
|
|
0: {
|
|
"engine_args.enforce_eager": "true",
|
|
},
|
|
1: {"engine_args.enforce_eager": "true"},
|
|
},
|
|
},
|
|
)
|
|
return path
|
|
|
|
|
|
def get_stage_config(name: str = "qwen3_tts_no_async_chunk.yaml"):
|
|
"""Get the no_async_chunk stage config path (async_chunk disable, cuda_graph disabled)."""
|
|
return str(Path(__file__).parent.parent.parent.parent / "vllm_omni" / "model_executor" / "stage_configs" / name)
|
|
|
|
|
|
# Same structure as test_qwen3_omni: models, stage_configs, test_params
|
|
tts_server_params = [
|
|
pytest.param(
|
|
(MODEL, get_cuda_graph_config()),
|
|
id="no_cuda_graph",
|
|
)
|
|
]
|
|
|
|
|
|
def get_prompt():
|
|
"""Text prompt for text-to-audio (same role as get_question in test_qwen3_omni)."""
|
|
return "Hello, this is a test for text to audio."
|
|
|
|
|
|
@pytest.mark.advanced_model
|
|
@pytest.mark.omni
|
|
@hardware_test(res={"cuda": "L4"}, num_cards=1)
|
|
@pytest.mark.parametrize("omni_runner", tts_server_params, indirect=True)
|
|
def test_text_to_audio_001(omni_runner, omni_runner_handler) -> None:
|
|
"""
|
|
Test text input processing and audio output via offline Omni runner.
|
|
Deploy Setting: qwen3_tts_no_async_chunk.yaml + enforce_eager=true
|
|
Input Modal: text
|
|
Output Modal: audio
|
|
Input Setting: stream=False
|
|
Extra Setting: task_type=Base, voice=clone, ref_audio/ref_text provided
|
|
Datasets: few requests
|
|
"""
|
|
request_config = {
|
|
"input": get_prompt(),
|
|
"task_type": "Base",
|
|
"voice": "clone",
|
|
"ref_audio": REF_AUDIO_URL,
|
|
"ref_text": REF_TEXT,
|
|
}
|
|
omni_runner_handler.send_audio_speech_request(request_config)
|