[Refactor]Base class for dit pipelines with unified parameter declaration[1/N] (#4225)

Signed-off-by: princepride <wangzhipeng628@gmail.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: Hongsheng Liu <liuhongsheng4@huawei.com>
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
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authored and GitHub committed 2026-06-18 17:14:18 +08:00
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# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from __future__ import annotations
from vllm_omni.inputs.data import OmniDiffusionSamplingParams
def apply_declared_extra_args(
sampling_params: OmniDiffusionSamplingParams,
declared_params: frozenset[str],
user_kwargs: dict[str, object],
) -> None:
"""Route pipeline-declared request params into ``sampling_params.extra_args``.
Both online serving and offline examples call this so that model-specific
keys (e.g. ``cfg_text_scale`` for BAGEL) end up in ``extra_args`` instead
of being silently dropped.
This is a no-op when no declared params are present in ``user_kwargs``, so
it is safe to call on non-diffusion (e.g. AR) sampling params whose
``extra_args`` defaults to ``None``.
"""
declared = {key: user_kwargs[key] for key in declared_params if user_kwargs.get(key) is not None}
if not declared:
return
sampling_params.extra_args = {**(sampling_params.extra_args or {}), **declared}