code: def next_frame_stochastic_discrete_range(rhp):
      """Next frame stochastic discrete tuning grid."""
      rhp.set_float("learning_rate_constant", 0.001, 0.01)
      rhp.set_float("dropout", 0.2, 0.6)
      rhp.set_int("filter_double_steps", 3, 5)
      rhp.set_discrete("hidden_size", [64, 96, 128])
      rhp.set_discrete("bottleneck_bits", [32, 64, 128, 256])
      rhp.set_discrete("video_num_target_frames", [4])
      rhp.set_float("bottleneck_noise", 0.0, 0.2)
  
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 5 for calling a global function with example usage: next_frame_stochastic_discrete_range(rhp) without return types