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vLLM/vllm/transformers_utils/processors/qwen_vl.py
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2026-03-10 06:20:47 -07:00

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Python

# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from transformers.image_processing_utils_fast import BaseImageProcessorFast
from transformers.image_utils import PILImageResampling
from transformers.processing_utils import ProcessorMixin
from vllm.tokenizers.qwen_vl import QwenVLTokenizer
class QwenVLImageProcessorFast(BaseImageProcessorFast):
"""
Port of https://huggingface.co/Qwen/Qwen-VL/blob/main/visual.py#L354
to HF Transformers.
"""
resample = PILImageResampling.BICUBIC
image_mean = [0.48145466, 0.4578275, 0.40821073]
image_std = [0.26862954, 0.26130258, 0.27577711]
size = {"height": 448, "width": 448}
do_resize = True
do_rescale = True
do_normalize = True
class QwenVLProcessor(ProcessorMixin):
attributes = ["image_processor", "tokenizer"]
def __init__(
self,
tokenizer: QwenVLTokenizer,
image_size: int,
image_processor: QwenVLImageProcessorFast | None = None,
) -> None:
self.tokenizer = tokenizer
if image_processor is None:
image_processor = QwenVLImageProcessorFast(
size={"width": image_size, "height": image_size}
)
self.image_processor = image_processor
@property
def image_start_tag(self) -> str:
return self.tokenizer.image_start_tag # type: ignore[attr-defined]
@property
def image_end_tag(self) -> str:
return self.tokenizer.image_end_tag # type: ignore[attr-defined]
@property
def image_pad_tag(self) -> str:
return self.tokenizer.image_pad_tag # type: ignore[attr-defined]