class_docstr: Constructs a VisionTextDualEncoder processor which wraps a vision feature extractor and a tokenizer into a single
  processor.
  
  [`VisionTextDualEncoderProcessor`] offers all the functionalities of [`AutoFeatureExtractor`] and
  [`AutoTokenizer`]. See the [`~VisionTextDualEncoderProcessor.__call__`] and
  [`~VisionTextDualEncoderProcessor.decode`] for more information.
  
  Args:
      feature_extractor ([`AutoFeatureExtractor`]):
          The feature extractor is a required input.
      tokenizer ([`PreTrainedTokenizer`]):
          The tokenizer is a required input.
code: def __init__(self, feature_extractor, tokenizer):
      super().__init__(feature_extractor, tokenizer)
      self.current_processor = self.feature_extractor
  
imports: from ...processing_utils import ProcessorMixin
  from ...tokenization_utils_base import BatchEncoding
label_desc: Use image node_id 1 to create a new VisionTextDualEncoderProcessor object from inherited base classes: ProcessorMixin with example: obj = VisionTextDualEncoderProcessor(feature_extractor, tokenizer)