code: def create_global_steps():
          
          global_step = tf.Variable(0, name="global_step", trainable=False, dtype=tf.int32)
          increment_step = tf.assign(global_step, tf.add(global_step, 1))
          return global_step, increment_step
docs: Creates TF ops to track and increment global training step.