code: def predict(trainer, dataset):
      return trainer.predict(dataset)
  
file_path: FATE/examples/launchers/fedpass_nn_launcher.py
imports: import torch
  from fate.arch import Context
  from fate.ml.nn.hetero.hetero_nn import HeteroNNTrainerGuest, HeteroNNTrainerHost, TrainingArguments
  from fate.ml.nn.model_zoo.hetero_nn_model import FedPassArgument, TopModelStrategyArguments
  from fate.ml.nn.model_zoo.hetero_nn_model import HeteroNNModelGuest, HeteroNNModelHost
label_desc: Use image node_id 2 for calling a global function with example usage: predict(trainer, dataset) and returns: trainer