class_docstr: The class of tuning records.
  
  Parameters
  ----------
  trace : tvm.ir.Trace
      The trace of the tuning record.
  workload : Workload
      The workload of the tuning record.
  run_secs : Optional[List[float]]
      The run time of the tuning record.
  target : Optional[Target]
      The target of the tuning record.
  args_info : Optional[List[ArgInfo]]
      The argument information of the tuning record.
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code: def __init__(  # type: ignore # pylint: disable=too-many-arguments
      self,
      trace: Trace,
      workload: Workload,
      run_secs: Optional[List[float]] = None,
      target: Optional[Target] = None,
      args_info: Optional[List[ArgInfo]] = None,
  ) -> None:
      self.__init_handle_by_constructor__(
          _ffi_api.TuningRecord,  # type: ignore # pylint: disable=no-member
          trace,
          workload,
          run_secs,
          target,
          args_info,
      )
  
imports: from typing import Any, Callable, List, Optional, Union
  from typing_extensions import Literal
  from tvm._ffi import register_object
  from tvm.ir.module import IRModule
  from tvm.runtime import Object
  from tvm.target import Target
  from tvm.tir.schedule import Schedule, Trace
  from ..None import _ffi_api
  from ..arg_info import ArgInfo
  from ..utils import _json_de_tvm
label_desc: Use image node_id 1 to create a new TuningRecord object from inherited base classes: Object with example: obj = TuningRecord(trace, workload, run_secs, target, args_info)