class_docstr: Base class for tuners
  
  Parameters
  ----------
  task: autotvm.task.Task
      Tuning Task
class_docstr_tok: ["Base","class","for","tuners","Parameters","--","--","--","--","--","task",":","autotvm.task.Task","Tuning","Task"]
docstr: Update parameters of the tuner according to measurement results
  
  Parameters
  ----------
  inputs: Array of autotvm.measure.MeasureInput
      The input for measurement
  results: Array of autotvm.measure.MeasureResult
      result for measurement
docstr_tok: ["Update","parameters","of","the","tuner","according","to","measurement","results","Parameters","--","--","--","--","--","inputs",":","Array","of","autotvm.measure.MeasureInput","The","input","for","measurement","results",":","Array","of","autotvm.measure.MeasureResult","result","for","measurement"]
code: def update(self, inputs, results):
      """Update parameters of the tuner according to measurement results
  
      Parameters
      ----------
      inputs: Array of autotvm.measure.MeasureInput
          The input for measurement
      results: Array of autotvm.measure.MeasureResult
          result for measurement
      """
  
file_path: tvm/python/tvm/autotvm/tuner/tuner.py
imports: import logging
  import tempfile
  import numpy
  from ..measure import MeasureInput, create_measure_batch
  from ..utils import format_si_prefix
  from ..env import GLOBAL_SCOPE
label_desc: Use image node_id 4 for calling the Tuner obj's underlying member method code with example usage: obj.update(inputs, results) without return types