code: def next_frame_savp_vae():
      """SAVP - VAE only model."""
      hparams = next_frame_savp()
      hparams.use_vae = True
      hparams.use_gan = False
      hparams.latent_loss_multiplier = 1e-3
      hparams.latent_loss_multiplier_schedule = "linear_anneal"
      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 3 for calling a global function with example usage: next_frame_savp_vae() and returns: hparams