code: def to_dict(self):
      d = dict(
          (field.name, getattr(self, field.name))
          for field in fields(self)
          if field.init
      )
      for k, v in d.items():
          if isinstance(v, Enum):
              d[k] = v.value
          if (
              isinstance(v, list)
              and len(v) > 0
              and isinstance(v[0], Enum)
          ):
              d[k] = [x.value for x in v]
          if k.endswith("_token"):
              d[k] = f"<{k.upper()}>"
      return d
  
imports: import torch
  import torch
  from fate.arch import Context
  from fate.ml.nn.model_zoo.agg_layer.agg_layer import AggLayerGuest, AggLayerHost
  from fate.ml.nn.model_zoo.agg_layer.fedpass.agg_layer import FedPassAggLayerGuest, FedPassAggLayerHost, get_model
  from fate.ml.nn.model_zoo.agg_layer.sshe.agg_layer import SSHEAggLayerHost, SSHEAggLayerGuest
  from typing import Any, Dict, List, Union, Callable, Literal
  from dataclasses import dataclass, fields
  from enum import Enum
  import logging
  from torch import device
label_desc: Use image node_id 1 for calling the Args obj's underlying member method code with example usage: obj.to_dict() and returns: d