code: def slicenet_range1(ranged_hparams):
      """Small range of hyperparameters."""
      rhp = ranged_hparams
      rhp.set_float("clip_grad_norm", 1.0, 10.0, scale=rhp.LOG_SCALE)
      rhp.set_float("learning_rate", 0.02, 1.0, scale=rhp.LOG_SCALE)
      rhp.set_float("optimizer_adam_beta2", 0.995, 0.998)
      rhp.set_float("weight_decay", 1.0, 5.0)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from six.moves import range
  from six.moves import zip
  from tensor2tensor.layers import common_attention
  from tensor2tensor.layers import common_hparams
  from tensor2tensor.layers import common_layers
  from tensor2tensor.layers import modalities
  from tensor2tensor.utils import registry
  from tensor2tensor.utils import t2t_model
  import tensorflow.compat.v1
label_desc: Use image node_id 12 for calling a global function with example usage: slicenet_range1(ranged_hparams) without return types