code: def load_seq(seq_conf: dict) -> None:
      confs = list(dict(sorted(seq_conf.items())).values())
      model_list = []
      for conf in confs:
          layer = Loader.from_dict(conf)()
          model_list.append(layer)
  
      return tSequential(*model_list)
  
imports: import torch
  from fate.components.components.nn.loader import Loader
  from torch.nn import Sequential
  import json
label_desc: Use image node_id 2 for calling a global function with example usage: load_seq(seq_conf) and returns: tSequential