class_docstr: Constructs an X-CLIP processor which wraps a VideoMAE feature extractor and a CLIP tokenizer into a single
  processor.
  
  [`XCLIPProcessor`] offers all the functionalities of [`VideoMAEFeatureExtractor`] and [`CLIPTokenizerFast`]. See
  the [`~XCLIPProcessor.__call__`] and [`~XCLIPProcessor.decode`] for more information.
  
  Args:
      feature_extractor ([`VideoMAEFeatureExtractor`]):
          The feature extractor is a required input.
      tokenizer ([`CLIPTokenizerFast`]):
          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.
docstr_tok: ["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)
  
imports: 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