class_docstr: A workload, i.e. an IRModule and its structural hash.
  
  Parameters
  ----------
  mod : IRModule
      The workload's IRModule
class_docstr_tok: ["A","workload",",","i.e",".","an","IRModule","and","its","structural","hash",".","Parameters","--","--","--","--","--","mod",":","IRModule","The","workload","'s","IRModule"]
docstr: Create a workload from a json object.
  
  Parameters
  ----------
  json_obj : Any
      The json object to parse.
  
  Returns
  -------
  tuning_record : TuningRecord
      The parsed tuning record.
docstr_tok: ["Create","a","workload","from","a","json","object",".","Parameters","--","--","--","--","--","json_obj",":","Any","The","json","object","to","parse",".","Returns","--","--","--","-","tuning_record",":","TuningRecord","The","parsed","tuning","record","."]
code: def from_json(json_obj: Any) -> "Workload":
      """Create a workload from a json object.
  
      Parameters
      ----------
      json_obj : Any
          The json object to parse.
  
      Returns
      -------
      tuning_record : TuningRecord
          The parsed tuning record.
      """
      return _ffi_api.WorkloadFromJSON(json_obj)
  
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 3 for calling the Workload obj's underlying member method code with example usage: obj.from_json(json_obj) and returns: _ffi_api