code: def randn(*args):
      """Returns samples from a normal distribution.
  
      Uses `tf.random_normal`.
  
      Args:
        *args: The shape of the output array.
  
      Returns:
        An ndarray with shape `args` and dtype `float64`.
      """
      return standard_normal(size=args)
  
file_path: tensorflow-upstream/tensorflow/python/ops/numpy_ops/np_random.py
imports: import numpy
  from tensorflow.python.framework import random_seed
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops.numpy_ops import np_array_ops
  from tensorflow.python.ops.numpy_ops import np_dtypes
  from tensorflow.python.ops.numpy_ops import np_utils
  from tensorflow.python.util import tf_export
label_desc: Use image node_id 2 for calling a global function with example usage: randn() and returns: standard_normal