class_docstr: Defines parameter ranges for tuning.
class_docstr_tok: ["Defines","parameter","ranges","for","tuning","."]
code: def __init__(self):
      self._categorical_params = {}
      self._discrete_params = {}
      self._float_params = {}
      self._int_params = {}
  
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 1 to create a new RangedHParams object from inherited base classes: object with example: obj = RangedHParams()