code: def set_np_doc_form(value):
      r"""Selects the form of the original numpy docstrings.
  
      This function sets a global variable that controls how a tf-numpy symbol's
      docstring should refer to the original numpy docstring. If `value` is
      `'inlined'`, the numpy docstring will be verbatim copied into the tf-numpy
      docstring. Otherwise, a link to the original numpy docstring will be
      added. Which numpy version the link points to depends on `value`:
      * `'stable'`: the current stable version;
      * `'dev'`: the current development version;
      * pattern `\d+(\.\d+(\.\d+)?)?`: `value` will be treated as a version number,
        e.g. '1.16'.
  
      Args:
        value: the value to set the global variable to.
      """
      global _np_doc_form
      _np_doc_form = value
  
imports: import inspect
  import numbers
  import os
  import re
  import numpy
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import flexible_dtypes
  from tensorflow.python.framework import indexed_slices
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import cond
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops.numpy_ops import np_arrays
  from tensorflow.python.ops.numpy_ops import np_dtypes
  from tensorflow.python.types import core
  from tensorflow.python.util import nest
  from tensorflow.python.util import tf_export
label_desc: Use image node_id 14 for calling a global function with example usage: set_np_doc_form(value) without return types