code: def testSingleIndexPoint(self):
      gp = gaussian_process.GaussianProcess(
          kernel=psd_kernels.ExponentiatedQuadratic(),
          index_points=tf.ones([5, 1, 2]),
      )
      self.assertAllEqual([5], self.evaluate(gp.batch_shape_tensor()))
      self.assertAllEqual([1], self.evaluate(gp.event_shape_tensor()))
      gp_pp = gp.posterior_predictive(
          tf.ones([5, 1]), predictive_index_points=tf.ones([5, 1, 2])
      )
      self.assertAllEqual(
          [5], self.evaluate(gp_pp.batch_shape_tensor())
      )
      self.assertAllEqual(
          [1], self.evaluate(gp_pp.event_shape_tensor())
      )
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v1
  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 mvn_diag
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
  from tensorflow_probability.python.math import psd_kernels
  from tensorflow_probability.python.math.psd_kernels.internal import test_util
label_desc: Use image node_id 12 for calling the _GaussianProcessTest obj's underlying member method code with example usage: obj.testSingleIndexPoint() without return types