# coding=utf-8 # Copyright 2023 The Intel Labs Team Authors, The Microsoft Research Team Authors and HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """ Processor class for BridgeTower. """ from typing import Optional from ...processing_utils import ImagesKwargs, ProcessingKwargs, ProcessorMixin class BridgeTowerImagesKwargs(ImagesKwargs): size_divisor: Optional[int] class BridgeTowerProcessorKwargs(ProcessingKwargs, total=False): images_kwargs: BridgeTowerImagesKwargs _defaults = { "text_kwargs": { "add_special_tokens": True, "padding": False, "stride": 0, "return_overflowing_tokens": False, "return_special_tokens_mask": False, "return_offsets_mapping": False, "return_length": False, "verbose": True, }, "images_kwargs": { "do_normalize": True, "do_center_crop": True, }, } class BridgeTowerProcessor(ProcessorMixin): r""" Constructs a BridgeTower processor which wraps a Roberta tokenizer and BridgeTower image processor into a single processor. [`BridgeTowerProcessor`] offers all the functionalities of [`BridgeTowerImageProcessor`] and [`RobertaTokenizerFast`]. See the docstring of [`~BridgeTowerProcessor.__call__`] and [`~BridgeTowerProcessor.decode`] for more information. Args: image_processor (`BridgeTowerImageProcessor`): An instance of [`BridgeTowerImageProcessor`]. The image processor is a required input. tokenizer (`RobertaTokenizerFast`): An instance of ['RobertaTokenizerFast`]. The tokenizer is a required input. """ attributes = ["image_processor", "tokenizer"] image_processor_class = "BridgeTowerImageProcessor" tokenizer_class = ("RobertaTokenizer", "RobertaTokenizerFast") valid_processor_kwargs = BridgeTowerProcessorKwargs def __init__(self, image_processor, tokenizer): super().__init__(image_processor, tokenizer) __all__ = ["BridgeTowerProcessor"]