docstr: Batch matrix multiplication test.
docstr_tok: ["Batch","matrix","multiplication","test","."]
code: def test_zero_zero_multiplication(self):
      """Batch matrix multiplication test."""
  
      a = np.array([[0.0, 0.0], [0.0, 0.0]])
      v = tf.exp(
          logeinsumexp("ij,jk->ik", tf.math.log(a), tf.math.log(a))
      )
  
      self.assertAllClose(a, 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 7 for calling the _EinLogSumExpTest obj's underlying member method code with example usage: obj.test_zero_zero_multiplication() without return types