code: def noise_op(latents, hparams):
    
    if hparams.latent_noise == 0 or hparams.mode != tf.estimator.ModeKeys.TRAIN:
      return latents
    latent_shape = common_layers.shape_list(latents)
    return latents + tf.random_normal(latent_shape, stddev=hparams.latent_noise)
docs: Adds isotropic gaussian-noise to each latent.
  
    Args:
      latents: 4-D or 5-D tensor, shape=(NTHWC) or (NHWC).
      hparams: HParams.
    Returns:
      latents: latents with isotropic gaussian noise appended.