class_docstr: Defines parameter ranges for tuning.
class_docstr_tok: ["Defines","parameter","ranges","for","tuning","."]
code: def set_int(self, name, min_val, max_val, scale=None, length=None):
      self._check_reset_and_type_change(name, self._int_params)
      self._int_params[name] = (name, min_val, max_val, scale, length)
  
file_path: tensor2tensor/tensor2tensor/layers/common_hparams.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from six.moves import zip
  from tensor2tensor.utils import hparam
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
label_desc: Use image node_id 6 for calling the RangedHParams obj's underlying member method code with example usage: obj.set_int(name, min_val, max_val, scale, length) without return types