wangyuandamy-why-3459
4af0ddc1c2
Signed-off-by: wangyu <410167048@qq.com> Signed-off-by: [Your Name] <your.email@example.com> Co-authored-by: amy-why-3459 <wuhaiyan17@huawei.com>
51 lines
1.5 KiB
Python
51 lines
1.5 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM-Omni project
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"""
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E2E tests for Covo-Audio-Chat model with audio input and audio/text output.
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"""
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import pytest
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from tests.helpers.mark import hardware_test
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from tests.helpers.media import generate_synthetic_audio
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from tests.helpers.stage_config import get_deploy_config_path
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from vllm_omni.model_executor.models.covo_audio.prompt_utils import (
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COVO_AUDIO_INPUT_PREFIX,
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build_covo_audio_chat_prompt,
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)
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models = ["tencent/Covo-Audio-Chat"]
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stage_config = get_deploy_config_path("covo_audio.yaml")
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test_params = [(model, stage_config, {"trust_remote_code": True}) for model in models]
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def get_question():
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return "请回答这段音频里的问题。"
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@pytest.mark.slow
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@pytest.mark.omni
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@hardware_test(res={"cuda": "H100"}, num_cards={"cuda": 1})
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@pytest.mark.parametrize("omni_runner", test_params, indirect=True)
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def test_audio_to_audio(omni_runner, offline_client) -> None:
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"""
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Test audio input → text + audio output.
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Deploy Setting: default yaml
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Input Modal: text + audio
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Output Modal: audio
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"""
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audio = generate_synthetic_audio(2, 1, 16000)["np_array"]
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if len(audio.shape) == 2:
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audio = audio.squeeze()
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user_content = COVO_AUDIO_INPUT_PREFIX + get_question()
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prompt = build_covo_audio_chat_prompt(user_content)
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request_config = {
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"prompts": prompt,
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"audios": (audio, 16000),
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"modalities": ["audio"],
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}
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offline_client.send_omni_request(request_config)
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