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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docstr: Create a tuning record from a json object.
  
  Parameters
  ----------
  json_obj : Any
      The json object to parse.
  workload : Workload
      The workload.
  
  Returns
  -------
  tuning_record : TuningRecord
      The parsed tuning record.
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code: def from_json(json_obj: Any, workload: Workload) -> "TuningRecord":
      """Create a tuning record from a json object.
  
      Parameters
      ----------
      json_obj : Any
          The json object to parse.
      workload : Workload
          The workload.
  
      Returns
      -------
      tuning_record : TuningRecord
          The parsed tuning record.
      """
      return _ffi_api.TuningRecordFromJSON(json_obj, workload)
  
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 4 for calling the TuningRecord obj's underlying member method code with example usage: obj.from_json(json_obj, workload) and returns: _ffi_api