class_docstr: Test the abstract base class behaviors.
class_docstr_tok: ["Test","the","abstract","base","class","behaviors","."]
code: def testStrUnknownBatchShape(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", feature_ndims=1, dtype=float32)',
          str(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 2 for calling the PositiveSemidefiniteKernelTest obj's underlying member method code with example usage: obj.testStrUnknownBatchShape() without return types