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`.
      """
      # TODO(wangpeng): Use new stateful RNG
      if utils.isscalar(args):
          args = (args,)
      return utils.tensor_to_ndarray(
          tf.random.normal(args, dtype=DEFAULT_RANDN_DTYPE)
      )
  
imports: import numpy
  import tensorflow.compat.v2
  from trax.tf_numpy.numpy_impl import utils
label_desc: Use image node_id 1 for calling a global function with example usage: randn() and returns: utils