code: def setUp(self):
      config.set_backend("torch")
  
      self.alarm_model = get_example_model("alarm")
      self.infer_alarm = ApproxInference(self.alarm_model)
      self.alarm_ve = VariableElimination(self.alarm_model)
      self.samples = self.alarm_model.simulate(int(1e4))
  
imports: import unittest
  from pgmpy import config
  from pgmpy.factors.discrete import DiscreteFactor, TabularCPD
  from pgmpy.inference import ApproxInference, VariableElimination
  from pgmpy.models import DynamicBayesianNetwork
  from pgmpy.utils import get_example_model
label_desc: Use image node_id 1 for calling the TestApproxInferenceBNTorch obj's underlying member method code with example usage: obj.setUp() without return types