text: import tensorflow as tf
  import numpy as np
  
  # DISCLAIMER:
  # This file is derived from 
  # https://github.com/tkipf/gcn
  # which is also under the MIT license
  
  def uniform(shape, scale=0.05, name=None):
      """Uniform init."""
      initial = tf.random_uniform(shape, minval=-scale, maxval=scale, dtype=tf.float32)
      return tf.Variable(initial, name=name)
  
  
  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)
  
  
  def zeros(shape, name=None):
      """All zeros."""
      initial = tf.zeros(shape, dtype=tf.float32)
      return tf.Variable(initial, name=name)
  
  def ones(shape, name=None):
      """All ones."""
      initial = tf.ones(shape, dtype=tf.float32)
      return tf.Variable(initial, name=name)
  