code: def next_frame_stochastic_discrete_latent_range(rhp):
      rhp.set_float("latent_rnn_max_sampling", 0.1, 0.9)
      rhp.set_float("latent_predictor_temperature", 0.1, 1.2)
      rhp.set_float("latent_use_max_probability", 0.4, 1.0)
      rhp.set_float("dropout", 0.1, 0.4)
  
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 6 for calling a global function with example usage: next_frame_stochastic_discrete_latent_range(rhp) without return types