code: def get_test_data_iter(config, kv):
      test_data = [np.random.rand(40, 30), np.random.rand(40, 20)]
      test_label = np.random.randint(0, 10, (80,))
      test = mx.io.NDArrayIter(
          test_data,
          test_label,
          batch_size=config["batch_size"],
          shuffle=True,
      )
      return test
  
file_path: BigDL/python/orca/test/bigdl/orca/learn/ray/mxnet/test_mxnet_gluon_multiple_input.py
imports: from unittest import TestCase
  import numpy
  import pytest
  import mxnet
  from mxnet import gluon
  from mxnet.gluon import nn
  from bigdl.orca.learn.mxnet import Estimator, create_config
label_desc: Use image node_id 2 for calling a global function with example usage: get_test_data_iter(config, kv) and returns: test