code: def __init__(self, **kwargs):
      super(HybridNet, self).__init__(**kwargs)
      self.conv1 = nn.Conv2D(20, kernel_size=(5, 5))
      self.pool1 = nn.MaxPool2D(pool_size=(2, 2), strides=(2, 2))
      self.conv2 = nn.Conv2D(50, kernel_size=(5, 5))
      self.pool2 = nn.MaxPool2D(pool_size=(2, 2), strides=(2, 2))
      self.fc1 = nn.Dense(500)
      self.fc2 = nn.Dense(2)
  
imports: import boto3
  import mxnet
  import os
  import numpy
  import logging
  from mxnet import gluon
  from mxnet.gluon import nn
  import re
  from mxnet.test_utils import assert_almost_equal
label_desc: Use image node_id 1 to create a new HybridNet object from inherited base classes: gluon with example: obj = HybridNet()