114 lines
3.5 KiB
Python
114 lines
3.5 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 expansion tests for GLM-TTS online serving (nightly CI).
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These tests verify the /v1/audio/speech endpoint with the GLM-TTS two-stage pipeline.
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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.media import load_test_audio_data_url
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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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pytestmark = [pytest.mark.slow, pytest.mark.tts]
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MODEL = os.environ.get("GLM_TTS_MODEL_PATH", "zai-org/GLM-TTS")
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REF_TEXT = "他当时还跟线下其他的站姐吵架，然后，打架进局子了。"
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DEPLOY_CONFIG = get_deploy_config_path("glm_tts.yaml")
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REF_AUDIO_URL = load_test_audio_data_url("glm_tts/jiayan_zh.wav")
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SYNC_EXTRA_ARGS = [
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"--trust-remote-code",
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"--disable-log-stats",
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"--no-async-chunk",
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]
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ASYNC_EXTRA_ARGS = [
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"--trust-remote-code",
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"--disable-log-stats",
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]
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tts_sync_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=DEPLOY_CONFIG,
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server_args=SYNC_EXTRA_ARGS,
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stage_init_timeout=600,
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),
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id="glm_tts_sync",
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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=DEPLOY_CONFIG,
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server_args=ASYNC_EXTRA_ARGS,
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stage_init_timeout=600,
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),
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id="glm_tts_async_chunk",
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)
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]
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@hardware_test(res={"cuda": "L4"}, num_cards=1)
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@pytest.mark.parametrize("omni_server", tts_sync_server_params, indirect=True)
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def test_voice_clone_zh_sync(omni_server, openai_client) -> None:
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"""
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Test voice cloning TTS with Chinese text.
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Deploy Setting: glm_tts.yaml with ``--no-async-chunk`` (sync two-stage)
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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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"""
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request_config = {
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"model": omni_server.model,
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"input": "今天天气真不错，适合出去散散步。",
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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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@hardware_test(res={"cuda": "L4"}, 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_async_chunk(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: glm_tts.yaml default ``async_chunk: true``
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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=True
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"""
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request_config = {
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"model": omni_server.model,
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"input": "今天天气真不错，适合出去散散步。",
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"stream": True,
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"stream_format": "audio",
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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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@hardware_test(res={"cuda": "L4"}, num_cards=1)
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@pytest.mark.parametrize("omni_server", tts_sync_server_params, indirect=True)
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def test_models_endpoint(omni_server, openai_client) -> None:
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"""Test the /v1/models endpoint returns loaded model."""
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models = openai_client.client.models.list()
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assert len(models.data) > 0
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