class_docstr: Replay Func Search Strategy is a search strategy that generates measure candidates by
  calling a design space generator and transform the design space.
  
  Parameters
  ----------
  num_trials_per_iter : int
      Number of trials per iteration.
  max_trials_per_task : int
      Total number of trials for one task
class_docstr_tok: ["Replay","Func","Search","Strategy","is","a","search","strategy","that","generates","measure","candidates","by","calling","a","design","space","generator","and","transform","the","design","space",".","Parameters","--","--","--","--","--","num_trials_per_iter",":","int","Number","of","trials","per","iteration",".","max_trials_per_task",":","int","Total","number","of","trials","for","one","task"]
docstr: Constructor
docstr_tok: ["Constructor"]
code: def __init__(self):
      """Constructor"""
      self.__init_handle_by_constructor__(
          _ffi_api.SearchStrategyReplayFunc,  # type: ignore # pylint: disable=no-member
      )
  
imports: from tvm._ffi import register_object
  from ..None import _ffi_api
  from .search_strategy import SearchStrategy
label_desc: Use image node_id 1 to create a new ReplayFunc object from inherited base classes: SearchStrategy with example: obj = ReplayFunc()