class_docstr: Constructs a VisionTextDualEncoder processor which wraps an image processor and a tokenizer into a single
  processor.
  
  [`VisionTextDualEncoderProcessor`] offers all the functionalities of [`AutoImageProcessor`] and [`AutoTokenizer`].
  See the [`~VisionTextDualEncoderProcessor.__call__`] and [`~VisionTextDualEncoderProcessor.decode`] for more
  information.
  
  Args:
      image_processor ([`AutoImageProcessor`], *optional*):
          The image processor is a required input.
      tokenizer ([`PreTrainedTokenizer`], *optional*):
          The tokenizer is a required input.
docstr: This method forwards all its arguments to VisionTextDualEncoderTokenizer's [`~PreTrainedTokenizer.decode`].
  Please refer to the docstring of this method for more information.
code: def decode(self, *args, **kwargs):
      """
      This method forwards all its arguments to VisionTextDualEncoderTokenizer's [`~PreTrainedTokenizer.decode`].
      Please refer to the docstring of this method for more information.
      """
      return self.tokenizer.decode(*args, **kwargs)
  
file_path: transformers/src/transformers/models/vision_text_dual_encoder/processing_vision_text_dual_encoder.py
imports: import warnings
  from ...processing_utils import ProcessorMixin
  from ...tokenization_utils_base import BatchEncoding
label_desc: Use image node_id 4 for calling the VisionTextDualEncoderProcessor obj's underlying member method code with example usage: obj.decode() and returns: self