code: def test_gluon_multiple_input(self):
      config = create_config(
          log_interval=2,
          optimizer="adagrad",
          seed=1128,
          optimizer_params={"learning_rate": 0.02},
      )
      estimator = Estimator.from_mxnet(
          config=config,
          model_creator=get_model,
          loss_creator=get_loss,
          eval_metrics_creator=get_metrics,
          validation_metrics_creator=get_metrics,
          num_workers=4,
      )
      estimator.fit(
          get_train_data_iter,
          validation_data=get_test_data_iter,
          epochs=2,
      )
      estimator.shutdown()
  
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 1 for calling the TestMXNetGluonMultipleInput obj's underlying member method code with example usage: obj.test_gluon_multiple_input() without return types