import tensorflow as tf

                tf.summary.histogram("mel_targets %d" % i, model.tower_linear_targets[i])
        
        tf.summary.scalar("regularization_loss", model.regularization_loss)
        tf.summary.scalar("stop_token_loss", model.stop_token_loss)
        tf.summary.scalar("loss", model.loss)
        tf.summary.scalar("learning_rate", model.learning_rate)  # Control learning rate decay speed
