class_docstr: Test the abstract base class behaviors.
class_docstr_tok: ["Test","the","abstract","base","class","behaviors","."]
code: def testStr(self):
      k32_batch2 = TestKernel(tf.cast([123.0, 456.0], dtype=tf.float32))
      k64_batch2x1 = TestKernel(
          tf.cast([[123.0], [456.0]], dtype=tf.float64)
      )
      k_fdim3 = TestKernel(
          tf.cast(123.0, dtype=tf.float32), feature_ndims=3
      )
      self.assertEqual(
          "tfp.math.psd_kernels.TestKernel("
          '"TestKernel", batch_shape=(2,), feature_ndims=1, dtype=float32)',
          str(k32_batch2),
      )
      self.assertEqual(
          "tfp.math.psd_kernels.TestKernel("
          '"TestKernel", batch_shape=(2, 1), feature_ndims=1, dtype=float64)',
          str(k64_batch2x1),
      )
      self.assertEqual(
          "tfp.math.psd_kernels.TestKernel("
          '"TestKernel", batch_shape=(), feature_ndims=3, dtype=float32)',
          str(k_fdim3),
      )
  
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 3 for calling the PositiveSemidefiniteKernelTest obj's underlying member method code with example usage: obj.testStr() without return types