code: def next_frame_basic_stochastic_discrete_long():
      """Conv model with stochastic discrete latent, long predictions."""
      hparams = next_frame_basic_stochastic_discrete()
      hparams.batch_size = 2
      hparams.video_num_target_frames = 16
      return hparams
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from tensor2tensor.layers import common_attention
  from tensor2tensor.layers import common_layers
  from tensor2tensor.layers import common_video
  from tensor2tensor.layers import discretization
  from tensor2tensor.models.video import base_vae
  from tensor2tensor.models.video import basic_deterministic
  from tensor2tensor.models.video import basic_deterministic_params
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
label_desc: Use image node_id 4 for calling a global function with example usage: next_frame_basic_stochastic_discrete_long() and returns: hparams