code: def test_counterexample(self):
      a = tf.convert_to_tensor(
          np.array([0.0, -1000.0]), dtype=tf.float64
      )
      b = tf.convert_to_tensor(
          np.array([-1000.0, 0.0]), dtype=tf.float64
      )
      v = logeinsumexp("i,i->", a, b)
  
      self.assertAllClose(np.log(2.0) - 1000.0, v)
  
imports: import hypothesis
  from hypothesis.extra import numpy
  import hypothesis.strategies
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.experimental.marginalize.logeinsumexp import _binary_einslogsumexp
  from tensorflow_probability.python.experimental.marginalize.logeinsumexp import logeinsumexp
  from tensorflow_probability.python.internal import test_util
  import tensorflow_probability.python.internal.hypothesis_testlib
label_desc: Use image node_id 10 for calling the _EinLogSumExpTest obj's underlying member method code with example usage: obj.test_counterexample() without return types