code: def __init__(self, **kwargs):
      super(SimpleLSTMModel, self).__init__(**kwargs)
      self.model = mx.gluon.nn.Sequential()
      self.model.add(mx.gluon.nn.Embedding(30, 10))
      self.model.add(mx.gluon.rnn.LSTM(20))
      self.model.add(mx.gluon.nn.Dense(100))
      self.model.add(mx.gluon.nn.Dropout(0.5))
      self.model.add(
          mx.gluon.nn.Dense(2, flatten=True, activation="tanh")
      )
  
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 SimpleLSTMModel object from inherited base classes: gluon with example: obj = SimpleLSTMModel()