code: def testKLRaises(self):
      ind1 = independent.Independent(
          distribution=normal.Normal(
              loc=np.float32([-1.0, 1]), scale=np.float32([0.1, 0.5])
          ),
          reinterpreted_batch_ndims=1,
          validate_args=True,
      )
      ind2 = independent.Independent(
          distribution=normal.Normal(
              loc=np.float32(-1), scale=np.float32(0.5)
          ),
          reinterpreted_batch_ndims=0,
          validate_args=True,
      )
  
      with self.assertRaisesRegexp(
          ValueError, "Event shapes do not match"
      ):
          kullback_leibler.kl_divergence(ind1, ind2)
  
      ind1 = independent.Independent(
          distribution=normal.Normal(
              loc=np.float32([-1.0, 1]), scale=np.float32([0.1, 0.5])
          ),
          reinterpreted_batch_ndims=1,
          validate_args=True,
      )
      ind2 = independent.Independent(
          distribution=mvn_diag.MultivariateNormalDiag(
              loc=np.float32([-1.0, 1]),
              scale_diag=np.float32([0.1, 0.5]),
          ),
          reinterpreted_batch_ndims=0,
          validate_args=True,
      )
  
      with self.assertRaisesRegexp(
          NotImplementedError, "different event shapes"
      ):
          kullback_leibler.kl_divergence(ind1, ind2)
  
imports: import functools
  import os
  from absl.testing import parameterized
  import numpy
  from scipy import stats
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import bernoulli
  from tensorflow_probability.python.distributions import exponential
  from tensorflow_probability.python.distributions import independent
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import log_prob_ratio
  from tensorflow_probability.python.distributions import logistic
  from tensorflow_probability.python.distributions import lognormal
  from tensorflow_probability.python.distributions import mvn_diag
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.distributions import poisson
  from tensorflow_probability.python.internal import hypothesis_testlib
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 7 for calling the IndependentDistributionTest obj's underlying member method code with example usage: obj.testKLRaises() without return types