code: def revnet_range(rhp):
      """Hyperparameters for tuning revnet."""
      rhp.set_float("learning_rate", 0.05, 0.2, scale=rhp.LOG_SCALE)
      rhp.set_float("weight_decay", 1e-5, 1e-3, scale=rhp.LOG_SCALE)
      rhp.set_discrete("num_channels_init_block", [64, 128])
      return rhp
  
imports: import functools
  from tensor2tensor.layers import common_hparams
  from tensor2tensor.utils import contrib
  from tensor2tensor.utils import registry
  from tensor2tensor.utils import t2t_model
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 15 for calling a global function with example usage: revnet_range(rhp) and returns: rhp