65 lines
1.9 KiB
Python
65 lines
1.9 KiB
Python
"""
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E2E offline tests for Omni model with video input and audio output.
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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 generate_synthetic_video
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from tests.helpers.stage_config import get_deploy_config_path, modify_stage_config
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from vllm_omni.platforms import current_omni_platform
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models = ["Qwen/Qwen3-Omni-30B-A3B-Instruct"]
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# Single CI deploy YAML; rocm/xpu deltas are picked automatically via the
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# platforms: section. Only CUDA needs an extra enforce_eager tweak.
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_CI_DEPLOY = get_deploy_config_path("ci/qwen3_omni_moe.yaml")
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def get_cuda_graph_config():
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return modify_stage_config(
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_CI_DEPLOY,
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updates={
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"stages": {
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0: {"enforce_eager": True},
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1: {"enforce_eager": True},
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},
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},
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)
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if current_omni_platform.is_xpu():
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stage_configs = [_CI_DEPLOY]
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else:
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stage_configs = [get_cuda_graph_config()]
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# Create parameter combinations for model and stage config
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test_params = [(model, stage_config) for model in models for stage_config in stage_configs]
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def get_question(prompt_type="video"):
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prompts = {
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"video": "Describe the video briefly.",
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}
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return prompts.get(prompt_type, prompts["video"])
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@pytest.mark.advanced_model
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@pytest.mark.omni
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@hardware_test(res={"cuda": "H100", "rocm": "MI325"}, num_cards=2)
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@pytest.mark.parametrize("omni_runner", test_params, indirect=True)
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def test_video_to_audio(omni_runner, omni_runner_handler) -> None:
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"""Test processing video, generating audio output."""
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video = generate_synthetic_video(224, 224, 300)["np_array"]
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request_config = {"prompts": get_question(), "videos": video, "modalities": ["audio"]}
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# Test single completion
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omni_runner_handler.send_request(request_config)
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