code: def eval_model(model_meta_file):
      print("model_meta_file {}".format(model_meta_file))
      model = TreeLSTMClassifier(
          n_classes=5,
          w2i=w2i,
          word_embed=word_embed,
          params=model_params,
          model_meta_file=model_meta_file,
      )
      acc = acc_eval(test, model)
      print("test acc %.4f" % acc)
  
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 4 for calling a global function with example usage: eval_model(model_meta_file) without return types