code: def next_frame_savp_gan():
      """SAVP - GAN only model."""
      hparams = next_frame_savp()
      hparams.use_gan = True
      hparams.use_vae = False
      hparams.gan_loss_multiplier = 0.001
      hparams.optimizer_adam_beta1 = 0.5
      hparams.learning_rate_constant = 2e-4
      hparams.gan_loss = "cross_entropy"
      hparams.learning_rate_decay_steps = 100000
      hparams.learning_rate_schedule = "constant*linear_decay"
      return hparams
  
file_path: tensor2tensor/tensor2tensor/models/video/savp_params.py
imports: from __future__ import division
  from __future__ import print_function
  from tensor2tensor.layers import modalities
  from tensor2tensor.models.video import sv2p_params
  from tensor2tensor.utils import registry
label_desc: Use image node_id 4 for calling a global function with example usage: next_frame_savp_gan() and returns: hparams