class_docstr: Test the abstract base class behaviors.
class_docstr_tok: ["Test","the","abstract","base","class","behaviors","."]
code: def testReprUnknownBatchShape(self):
      if tf.executing_eagerly():
          return
      k32_batch_unk = TestKernel(
          tf1.placeholder_with_default([2.0, 3], shape=None)
      )
      self.assertEqual(
          "<tfp.math.psd_kernels.TestKernel "
          "'TestKernel' batch_shape=<unknown> feature_ndims=1 dtype=float32>",
          repr(k32_batch_unk),
      )
  
imports: import functools
  import operator
  from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import parameter_properties
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math.psd_kernels import positive_semidefinite_kernel
  from tensorflow_probability.python.math.psd_kernels.internal import test_util
  from tensorflow_probability.python.math.psd_kernels.internal import util
label_desc: Use image node_id 4 for calling the PositiveSemidefiniteKernelTest obj's underlying member method code with example usage: obj.testReprUnknownBatchShape() without return types