code: def test_milstm(self):
      self.lstm_base(lstm_type=(rnn_cell.MILSTM, milstm_reference))
  
imports: from caffe2.python import core, gradient_checker, rnn_cell, workspace, scope, utils
  from caffe2.python.attention import AttentionType
  from caffe2.python.model_helper import ModelHelper, ExtractPredictorNet
  from caffe2.python.rnn.rnn_cell_test_util import sigmoid, tanh, _prepare_rnn
  from caffe2.proto import caffe2_pb2
  import caffe2.python.hypothesis_test_util
  from functools import partial
  from hypothesis import assume, given
  from hypothesis import settings
  import hypothesis.strategies
  import numpy
  import unittest
label_desc: Use image node_id 6 for calling the RNNCellTest obj's underlying member method code with example usage: obj.test_milstm() without return types