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.
docstr: Add a function to the chain
docstr_tok: ["Add","a","function","to","the","chain"]
code: def append(self, func):
      """Add a function to the chain"""
      self.funcs.append(func)
      self.takes_lengths.append(lengths_arg_exists(func))
  
imports: import inspect
label_desc: Use image node_id 3 for calling the LengthsCapableChain obj's underlying member method code with example usage: obj.append(func) without return types