code: def instance_norm(x):
    
    with tf.variable_scope("instance_norm"):
      epsilon = 1e-5
      mean, var = tf.nn.moments(x, [1, 2], keep_dims=True)
      scale = tf.get_variable(
          "scale", [x.get_shape()[-1]],
          initializer=tf.truncated_normal_initializer(mean=1.0, stddev=0.02))
      offset = tf.get_variable(
          "offset", [x.get_shape()[-1]], initializer=tf.constant_initializer(0.0))
      out = scale * tf.div(x - mean, tf.sqrt(var + epsilon)) + offset
  
      return out
docs: Instance normalization layer.