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vllm-omni/vllm_omni/quantization/_copy_missing_attrs.py
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Zhou TaichangandClaude Opus 5 2ce15ab7a0 [Rebase] Rebase to vllm 0.27.0 (#5976)
Signed-off-by: tzhouam <tzhouam@connect.ust.hk>
Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-11 15:23:46 +00:00

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Python

# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""Shared weight-attribute helper for vLLM-omni quantization configs.
``copy_missing_attrs`` used to live in upstream
``vllm.model_executor.layers.quantization.fp8`` but was removed from vLLM
(commit b5bcb3ce88, "[Refactor] Remove dead code in multiple files").
vLLM-omni's diffusion quant methods still rely on it, so it is re-homed here.
"""
from typing import Any
import torch
from vllm.model_executor.utils import set_weight_attrs
def copy_missing_attrs(old: torch.Tensor, new: torch.Tensor) -> None:
"""Copies any attrs present in `old` but not in `new` to `new`."""
new_attrs = set(dir(new))
attrs_to_set: dict[str, Any] = {}
for attr in dir(old):
if attr not in new_attrs:
attrs_to_set[attr] = getattr(old, attr)
set_weight_attrs(new, attrs_to_set)