code: def np_doc_only(np_f):
      """Attachs numpy docstring to a function.
  
      This differs from np_doc in that it doesn't check for a match in signature.
  
      Args:
        np_f: the numpy function whose docstring will be used.
  
      Returns:
        A function decorator that attaches the docstring from `np_f` to the
        decorated function.
      """
  
      def decorator(f):
          f.__doc__ = _np_doc_helper(f, np_f)
          return f
  
      return decorator
  
imports: import funcsigs
  import numpy
  import tensorflow.compat.v2
  from trax.tf_numpy.numpy_impl import arrays
  from trax.tf_numpy.numpy_impl import dtypes
label_desc: Use image node_id 15 for calling a global function with example usage: np_doc_only(np_f) and returns: decorator, f