docstr: Checks approximate samples from the model against the ground truth.
docstr_tok: ["Checks","approximate","samples","from","the","model","against","the","ground","truth","."]
code: def testConvectionLorenzBridgeHMC(self):
      """Checks approximate samples from the model against the ground truth."""
      self.skipTest("b/171518508")
      model = lorenz_system.ConvectionLorenzBridgeUnknownScales(
          use_markov_chain=True
      )
  
      self.validate_ground_truth_using_hmc(
          model,
          num_chains=2,
          num_steps=2000,
          num_leapfrog_steps=240,
          step_size=0.03,
      )
  
imports: import functools
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import test_util
  from inference_gym.internal import test_util
  from inference_gym.targets import lorenz_system
label_desc: Use image node_id 4 for calling the LorenzSystemUnknownScalesTest obj's underlying member method code with example usage: obj.testConvectionLorenzBridgeHMC() without return types