Hongsheng Liu
d4096e01fe
Signed-off-by: Hongsheng Liu <liuhongsheng4@huawei.com> Signed-off-by: hsliuustc0106 <liuhongsheng4@huawei.com>
56 lines
1.5 KiB
Python
56 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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from __future__ import annotations
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import importlib.util
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from pathlib import Path
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from types import ModuleType
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import pytest
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pytestmark = [pytest.mark.diffusion, pytest.mark.cpu, pytest.mark.core_model]
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REPO_ROOT = Path(__file__).parents[3]
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def _load_example(name: str, relative_path: str) -> ModuleType:
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path = REPO_ROOT / relative_path
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spec = importlib.util.spec_from_file_location(name, path)
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assert spec is not None and spec.loader is not None
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module = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(module)
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return module
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@pytest.fixture(scope="module")
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def text_to_video() -> ModuleType:
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return _load_example(
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"magi2_text_to_video_example",
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"examples/offline_inference/text_to_video/text_to_video.py",
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)
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@pytest.mark.parametrize(
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("extra_body", "expected_size"),
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[
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(None, (896, 512)),
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({"resolution": "540p"}, (896, 512)),
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({"resolution": "272p"}, (448, 256)),
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],
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)
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def test_shared_text_to_video_uses_native_preview_defaults(
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text_to_video: ModuleType,
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extra_body: dict[str, object] | None,
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expected_size: tuple[int, int],
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) -> None:
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preset = text_to_video._detect_preset(
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"sand-ai/MAGI-2-preview",
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"Magi2Pipeline",
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extra_body,
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)
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assert (preset["width"], preset["height"]) == expected_size
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assert preset["num_frames"] == 125
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assert preset["num_inference_steps"] == 100
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assert preset["fps"] == 12.5
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