import tensorflow as tf

        }
        v_grad_clip_fn = opt.get_gradient_clip_fn(hparams)
        v_grads_and_vars = v_grad_clip_fn(grads_and_vars)
        v_grads, _ = zip(*v_grads_and_vars)
        v_grads_true = tf.clip_by_value(grads,
                                        hparams["kwargs"]["clip_value_min"],
                                        hparams["kwargs"]["clip_value_max"])

