code: def test_deep():
      import glob
  
      tf.reset_default_graph()
      cdir = "test_checkpoints"
      if os.path.exists(cdir):
          os.system("rm -rf %s" % cdir)
      twad = CommandLine(
          args=dict(
              verbose=True,
              n_epoch=5,
              model_type="deep",
              snapshot_step=5,
              wide_learning_rate=0.0001,
              checkpoints_dir=cdir,
          )
      )
      cfiles = glob.glob("%s/*.tfl-*" % cdir)
      print("cfiles=%s" % cfiles)
      assert len(cfiles)
      cm = twad.confusion_matrix.values.astype(np.float32)
      assert cm[1][1]
  
imports: from __future__ import division, print_function
  import os
  import sys
  import argparse
  import tflearn
  import tempfile
  import urllib
  import numpy
  import pandas
  import tensorflow.compat.v1
label_desc: Use image node_id 3 for calling a global function with example usage: test_deep() without return types