code: def accuracy(mod_y, ref_y, summary=True, name="accuracy"):
          
          with tf.name_scope(name):
              mod_pred = tf.argmax(mod_y, 1)
              correct_pred = tf.equal(mod_pred, tf.argmax(ref_y, 1))
              accuracy = tf.reduce_mean(tf.cast(correct_pred, tf.float32))
              if summary:
                  tf.summary.scalar('accuracy', accuracy)
              return accuracy
docs: Accuracy computation op.
  
          Parameters
          ----------
  
          mod_y : tf.Tensor
              Model output tensor.
  
          ref_y : tf.Tensor
              Reference input tensor.
  
          summary : bool, optional (default = True)
              Whether to save tf summary for the op.
  
          Returns
          -------
  
          tf.Tensor : accuracy op. tensor