class_docstr: A fallback dispatch context.
  
  Any tunable template can be called under this context.
  This is the root context.
class_docstr_tok: ["A","fallback","dispatch","context",".","Any","tunable","template","can","be","called","under","this","context",".","This","is","the","root","context","."]
docstr: Clear fallback cache. Pass the same argument as _query_inside to this function
  to clean the cache.
  
  Parameters
  ----------
  target: Target
      The current target
  workload : Workload
      The current workload.
docstr_tok: ["Clear","fallback","cache",".","Pass","the","same","argument","as","_query_inside","to","this","function","to","clean","the","cache",".","Parameters","--","--","--","--","--","target",":","Target","The","current","target","workload",":","Workload","The","current","workload","."]
code: def clear_cache(self, target, workload):
      """Clear fallback cache. Pass the same argument as _query_inside to this function
      to clean the cache.
  
      Parameters
      ----------
      target: Target
          The current target
      workload : Workload
          The current workload.
      """
      key = (str(target), workload)
      if key in self.memory:
          del self.memory[key]
  
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 FallbackContext obj's underlying member method code with example usage: obj.clear_cache(target, workload) without return types