class_docstr: Argument information
class_docstr_tok: ["Argument","information"]
docstr: Parse the argument information from a JSON object.
  
  Parameters
  ----------
  json_obj : Any
      The json object to parse.
  
  Returns
  -------
  parsed : ArgInfo
      The argument information parsed.
docstr_tok: ["Parse","the","argument","information","from","a","JSON","object",".","Parameters","--","--","--","--","--","json_obj",":","Any","The","json","object","to","parse",".","Returns","--","--","--","-","parsed",":","ArgInfo","The","argument","information","parsed","."]
code: def from_json(json_obj: Any) -> "ArgInfo":
      """Parse the argument information from a JSON object.
  
      Parameters
      ----------
      json_obj : Any
          The json object to parse.
  
      Returns
      -------
      parsed : ArgInfo
          The argument information parsed.
      """
      return _ffi_api.ArgInfoFromJSON(json_obj)
  
file_path: tvm/python/tvm/meta_schedule/arg_info.py
imports: from typing import Any, List, Union
  from tvm._ffi import register_object
  from tvm.ir import IRModule
  from tvm.runtime import DataType, Object, ShapeTuple
  from tvm.tir import PrimFunc
  from .None import _ffi_api
  from .utils import _json_de_tvm
label_desc: Use image node_id 2 for calling the ArgInfo obj's underlying member method code with example usage: obj.from_json(json_obj) and returns: _ffi_api