class_docstr: Chain together callables. Can handle relative lengths.
  
  This is a more light-weight version of
  speechbrain.nnet.containers.LengthsCapableSequential
  
  Arguments
  ---------
  *funcs : list, optional
      Any number of functions or other callables, given in order of
      execution.
  
  Returns
  -------
  Any
      The input as processed by each function. If no functions were given,
      simply returns the input.
code: def __str__(self):
      clsname = self.__class__.__name__
      if self.funcs:
          return f"{clsname}:\n" + "\n".join(str(f) for f in self.funcs)
      else:
          return f"Empty {clsname}"
  
imports: import inspect
label_desc: Use image node_id 4 for calling the LengthsCapableChain obj's underlying member method code with example usage: obj.__str__() and returns: unknown, str, clsname