code: def glorot(shape, name=None):
      """Glorot & Bengio (AISTATS 2010) init."""
      init_range = np.sqrt(6.0 / (shape[0] + shape[1]))
      initial = tf.random_uniform(
          shape, minval=-init_range, maxval=init_range, dtype=tf.float32
      )
      return tf.Variable(initial, name=name)
  
imports: import tensorflow
  import numpy
label_desc: Use image node_id 2 for calling a global function with example usage: glorot(shape, name) and returns: tf