code: def create_gluon_model():
      net = nn.Sequential()
      with net.name_scope():
          net.add(nn.Dense(128, activation="relu"))
          net.add(nn.Dense(64, activation="relu"))
          net.add(nn.Dense(10))
      return net
  
file_path: sagemaker-python-sdk/tests/data/mxnet_mnist/mnist_gluon.py
imports: import argparse
  import random
  import mxnet
  import numpy
  from mxnet import autograd, gluon
  from mxnet.gluon import nn
label_desc: Use image node_id 6 for calling a global function with example usage: create_gluon_model() and returns: net