code: def testExcessiveConcretizationInLogProb(self, process_name, data):
      # Check that log_prob computations avoid reading process parameters
      # more than once.
      tfp_hps.guitar_skip_if_matches(
          "VariationalGaussianProcess", process_name, "b/147770193"
      )
      process = data.draw(
          stochastic_processes(
              process_name=process_name, enable_vars=True
          )
      )
      self.evaluate([var.initializer for var in process.variables])
  
      hp.note(
          "Testing excessive var usage in {}.log_prob".format(
              process_name
          )
      )
      sample = process.sample()
      try:
          with tfp_hps.assert_no_excessive_var_usage(
              "method `log_prob` of `{}`".format(process),
              max_permissible=MAX_CONVERSIONS_BY_CLASS.get(
                  process_name, 1
              ),
          ):
              process.log_prob(sample)
      except NotImplementedError:
          pass
  
imports: from absl.testing import parameterized
  import hypothesis
  from hypothesis import strategies
  import numpy
  import six
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import gaussian_process
  from tensorflow_probability.python.distributions import gaussian_process_regression_model
  from tensorflow_probability.python.distributions import student_t_process
  from tensorflow_probability.python.distributions import student_t_process_regression_model
  from tensorflow_probability.python.distributions import variational_gaussian_process
  from tensorflow_probability.python.experimental.distributions import marginal_fns
  from tensorflow_probability.python.internal import hypothesis_testlib
  from tensorflow_probability.python.internal import reparameterization
  from tensorflow_probability.python.internal import tensor_util
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math.psd_kernels import hypothesis_testlib
label_desc: Use image node_id 5 for calling the StochasticProcessParamsAreVarsTest obj's underlying member method code with example usage: obj.testExcessiveConcretizationInLogProb(process_name, data) without return types