8850738b70
Signed-off-by: raushan <raushan@huggingface.co> Co-authored-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
39 lines
1.3 KiB
Python
39 lines
1.3 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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from transformers import PreTrainedTokenizer
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from transformers.image_processing_utils_fast import BaseImageProcessorFast
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from transformers.image_utils import PILImageResampling
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from transformers.processing_utils import ProcessorMixin
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class GLM4VImageProcessorFast(BaseImageProcessorFast):
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"""
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Port of https://huggingface.co/zai-org/glm-4v-9b/blob/main/tokenization_chatglm.py#L177
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to HF Transformers.
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"""
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resample = PILImageResampling.BICUBIC
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image_mean = [0.48145466, 0.4578275, 0.40821073]
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image_std = [0.26862954, 0.26130258, 0.27577711]
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size = {"height": 1120, "width": 1120}
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do_resize = True
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do_rescale = True
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do_normalize = True
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class GLM4VProcessor(ProcessorMixin):
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attributes = ["image_processor", "tokenizer"]
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def __init__(
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self,
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tokenizer: PreTrainedTokenizer,
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image_size: int,
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image_processor: GLM4VImageProcessorFast | None = None,
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) -> None:
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self.tokenizer = tokenizer
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if image_processor is None:
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image_processor = GLM4VImageProcessorFast(
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size={"width": image_size, "height": image_size}
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)
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self.image_processor = image_processor
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