class_docstr: Constructs an X-CLIP processor which wraps a VideoMAE image processor and a CLIP tokenizer into a single processor.
  
  [`XCLIPProcessor`] offers all the functionalities of [`VideoMAEImageProcessor`] and [`CLIPTokenizerFast`]. See the
  [`~XCLIPProcessor.__call__`] and [`~XCLIPProcessor.decode`] for more information.
  
  Args:
      image_processor ([`VideoMAEImageProcessor`], *optional*):
          The image processor is a required input.
      tokenizer ([`CLIPTokenizerFast`], *optional*):
          The tokenizer is a required input.
docstr: This method forwards all its arguments to CLIPTokenizerFast's [`~PreTrainedTokenizer.batch_decode`]. Please
  refer to the docstring of this method for more information.
code: def batch_decode(self, *args, **kwargs):
      """
      This method forwards all its arguments to CLIPTokenizerFast's [`~PreTrainedTokenizer.batch_decode`]. Please
      refer to the docstring of this method for more information.
      """
      return self.tokenizer.batch_decode(*args, **kwargs)
  
file_path: transformers/src/transformers/models/x_clip/processing_x_clip.py
imports: import warnings
  from ...processing_utils import ProcessorMixin
  from ...tokenization_utils_base import BatchEncoding
label_desc: Use image node_id 3 for calling the XCLIPProcessor obj's underlying member method code with example usage: obj.batch_decode() and returns: self