Zhou TaichangandClaude Opus 5
66a9b0c84f
Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
58 lines
2.3 KiB
Python
58 lines
2.3 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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"""Every shipped DreamZero deploy config must select the AR-Diffusion engine.
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``DreamZeroPipeline.__init__`` rejects any other engine, so a config missing
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``engine_backend`` fails at worker startup rather than at request time. That
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only surfaces in slow multi-GPU e2e serving tests (see issue #5046), so assert
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it here on CPU instead.
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"""
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from pathlib import Path
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from types import SimpleNamespace
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import pytest
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import yaml
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from tests.helpers.stage_config import get_deploy_config_path
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from vllm_omni.diffusion.diffusion_engine import DiffusionEngine
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from vllm_omni.experimental.ar_diffusion.engine import ARDiffusionEngine
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pytestmark = [pytest.mark.core_model, pytest.mark.cpu]
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# Discover siblings of a known config so a future dreamzero*.yaml is covered
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# without editing this test.
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DEPLOY_DIR = Path(get_deploy_config_path("dreamzero.yaml")).parent
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def _dreamzero_stages() -> list[tuple[str, int, dict]]:
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stages = []
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for name in sorted(path.name for path in DEPLOY_DIR.glob("dreamzero*.yaml")):
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config = yaml.safe_load(Path(get_deploy_config_path(name)).read_text())
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for index, stage in enumerate(config.get("stages") or []):
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stages.append((name, index, stage))
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return stages
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def test_dreamzero_deploy_configs_exist() -> None:
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assert _dreamzero_stages(), f"no DreamZero deploy configs found under {DEPLOY_DIR}"
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@pytest.mark.parametrize(
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("config_name", "stage_index", "stage"),
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_dreamzero_stages(),
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ids=lambda value: value if isinstance(value, str) else None,
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)
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def test_dreamzero_stage_selects_ar_diffusion_engine(config_name: str, stage_index: int, stage: dict) -> None:
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backend = stage.get("engine_backend")
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assert backend, (
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f"{config_name} stage {stage_index} does not set engine_backend; "
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"DreamZeroPipeline requires the AR-Diffusion engine"
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)
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# Resolving also proves the import path is real, not just a lookalike string.
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engine_class = DiffusionEngine.resolve_engine_class(SimpleNamespace(engine_backend=backend))
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assert issubclass(engine_class, ARDiffusionEngine), (
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f"{config_name} stage {stage_index} resolves to {engine_class.__name__}, not an AR-Diffusion engine"
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)
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