带有l1_pixel_loss的GANEstimator（pix2pix）

Question

最近发布的TFGAN module README包含有关如何合并l1_pixel_loss：

的信息

# Modify the loss tuple to include the pixel loss.
gan_loss = tfgan.losses.combine_adversarial_loss(
    gan_loss, gan_model, l1_pixel_loss, weight_factor=FLAGS.weight_factor)

该模块还包含一个GANEstimator类，但没有很多示例，具体说明没有关于如何组合l1_pixel_loss的示例。

# Create GAN estimator.
gan_estimator = estimator.GANEstimator(
    model_dir,
    generator_fn=generator_fn,
    discriminator_fn=discriminator_fn,
    generator_loss_fn=tfgan.losses.wasserstein_generator_loss,
    discriminator_loss_fn=tfgan.losses.wasserstein_discriminator_loss,
    generator_optimizer=tf.train.AdamOptimizier(0.1, 0.5),
    discriminator_optimizer=tf.train.AdamOptimizier(0.1, 0.5))

如何正确地将l1_pixel_loss添加到GANEstimator？