class_docstr: Apply a config of a deterministic schedule.
  This is used for building a single Relay operator with deterministic schedule
  for testing schedules at Relay level.
  
  Parameters
  ----------
  tasks : list[tvm.autotvm.task.task.Task]
      List of autoTVM tasks.
  schedule_names : str, List[str]
      Name of schedules to use.
class_docstr_tok: ["Apply","a","config","of","a","deterministic","schedule",".","This","is","used","for","building","a","single","Relay","operator","with","deterministic","schedule","for","testing","schedules","at","Relay","level",".","Parameters","--","--","--","--","--","tasks",":","list","[","tvm.autotvm.task.task.Task","]","List","of","autoTVM","tasks",".","schedule_names",":","str",",","List","[","str","]","Name","of","schedules","to","use","."]
docstr: Override update
docstr_tok: ["Override","update"]
code: def update(self, target, workload, cfg):
      """Override update"""
      self.workload = workload
      self._config = cfg
  
imports: from __future__ import absolute_import
  from io import TextIOBase
  import logging
  from os import PathLike
  from pathlib import Path
  from typing import List, Iterable, Tuple, Union
  import numpy
  from .space import FallbackConfigEntity
  from ..None import env
  from ..measure import MeasureInput, MeasureResult
label_desc: Use image node_id 3 for calling the ApplyFixedConfig obj's underlying member method code with example usage: obj.update(target, workload, cfg) without return types