code: def next_frame_basic_recurrent():
      """Basic 2-frame recurrent model with stochastic tower."""
      hparams = basic_stochastic.next_frame_basic_stochastic_discrete()
      hparams.filter_double_steps = 2
      hparams.hidden_size = 64
      hparams.video_num_input_frames = 4
      hparams.video_num_target_frames = 4
      hparams.concat_internal_states = False
      hparams.add_hparam("num_lstm_layers", 2)
      hparams.add_hparam("num_lstm_filters", 256)
      return hparams
  
file_path: tensor2tensor/tensor2tensor/models/video/basic_recurrent.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from tensor2tensor.layers import common_video
  from tensor2tensor.models.video import basic_stochastic
  from tensor2tensor.utils import registry
label_desc: Use image node_id 1 for calling a global function with example usage: next_frame_basic_recurrent() and returns: hparams