code: def exec_train(model_params, scheduler_params):
      model = TreeLSTMClassifier(
          n_classes=5,
          w2i=w2i,
          word_embed=word_embed,
          params=model_params,
      )
      scheduler = Scheduler(model, train, dev, scheduler_params)
      return scheduler.exec_train()
  
file_path: dynet/examples/treelstm/main.py
imports: from __future__ import print_function
  import dynet
  import sys
  import time
  import os
  import argparse
  import warnings
  import zipfile
  from six.moves import urllib
  from model import TreeLSTMClassifier
  from utils import get_embeds, acc_eval
  from scheduler import Scheduler
  from dataloader import DataLoader
label_desc: Use image node_id 3 for calling a global function with example usage: exec_train(model_params, scheduler_params) and returns: scheduler