code: def _verify_learning_rate_type(learning_rate):
      if not isinstance(
          learning_rate, cntk_py.training_double_parameter_schedule
      ):
          raise ValueError(
              "learning_rate type (%s) not supported. "
              "learning_rate must be a training schedule "
              "(output of learning_rate_schedule() function)"
              % type(learning_rate)
          )
  
imports: from enum import Enum, unique
  import warnings
  import numpy
  import cntk.internal.utils
  from ..None import cntk_py, NDArrayView, asarray
  from cntk.internal import typemap
  from ..internal.swig_helper import map_if_possible
label_desc: Use image node_id 3 for calling a global function with example usage: _verify_learning_rate_type(learning_rate) without return types