wtz2333andhsliuustc0106
5a6a93dc5f
Signed-off-by: hsliuustc0106 <liuhongsheng4@huawei.com> Signed-off-by: wtz2333 <2955110911@qq.com> Co-authored-by: hsliuustc0106 <liuhongsheng4@huawei.com>
60 lines
1.8 KiB
Python
60 lines
1.8 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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"""Single-GPU serving smoke for ``robbyant/lingbot-video-moe-30b-a3b``."""
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import os
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import pytest
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from tests.helpers.mark import hardware_marks
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from tests.helpers.runtime import OmniServer, OmniServerParams, OpenAIClientHandler
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os.environ["VLLM_WORKER_MULTIPROC_METHOD"] = "spawn"
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MODEL = "robbyant/lingbot-video-moe-30b-a3b"
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PROMPT = "a robotic arm picks up a red block"
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NEGATIVE_PROMPT = "low quality, blurry, watermark, text"
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SMOKE_DEFAULT_SAMPLING_PARAMS = '{"0":{"num_frames":81,"num_inference_steps":2,"guidance_scale":3.0}}'
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SINGLE_CARD_MARKS = hardware_marks(res={"cuda": "H100"})
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def _get_server_cases(model: str):
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return [
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pytest.param(
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OmniServerParams(
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model=model,
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server_args=[
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"--model-class-name",
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"LingBotVideoPipeline",
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"--default-sampling-params",
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SMOKE_DEFAULT_SAMPLING_PARAMS,
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],
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),
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id="default",
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marks=SINGLE_CARD_MARKS,
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),
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]
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@pytest.mark.full_model
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@pytest.mark.diffusion
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@pytest.mark.parametrize("omni_server", _get_server_cases(MODEL), indirect=True)
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def test_text_to_video_moe(omni_server: OmniServer, openai_client: OpenAIClientHandler) -> None:
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request_config = {
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"model": omni_server.model,
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"form_data": {
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"model": omni_server.model,
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"prompt": PROMPT,
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"negative_prompt": NEGATIVE_PROMPT,
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"height": 192,
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"width": 320,
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"num_frames": 9,
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"fps": 24,
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"flow_shift": 3.0,
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"seed": 42,
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},
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}
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openai_client.send_video_diffusion_request(request_config)
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