code: def next_frame_sv2p_tiny():
      """Tiny SV2P model."""
      hparams = next_frame_sv2p_atari_softmax()
      hparams.batch_size = 2
      hparams.tiny_mode = True
      hparams.num_masks = 1
      hparams.video_modality_loss_cutoff = 0.4
      hparams.video_num_input_frames = 4
      hparams.video_num_target_frames = 4
      return hparams
  
file_path: tensor2tensor/tensor2tensor/models/video/sv2p_params.py
imports: from __future__ import division
  from __future__ import print_function
  from tensor2tensor.layers import modalities
  from tensor2tensor.models.video import basic_stochastic
  from tensor2tensor.utils import registry
label_desc: Use image node_id 7 for calling a global function with example usage: next_frame_sv2p_tiny() and returns: hparams