code: def log_pade_4_4(x, name="log_pade_4_4"):
      """log using the Pade(4,4) approximant."""
      with tf.name_scope(name):
          return _log_pade_4_4_impl(x)
  
imports: import contextlib
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import custom_gradient
  from tensorflow_probability.python.internal import dtype_util
label_desc: Use image node_id 13 for calling a global function with example usage: log_pade_4_4(x, name) and returns: _log_pade_4_4_impl