class_docstr: Test the abstract base class behaviors.
class_docstr_tok: ["Test","the","abstract","base","class","behaviors","."]
code: def testInputOutputOfJittedFunction(self):
      @tf.function(jit_compile=True)
      def create_kernel(m):
          return CompositeTensorTestKernel(multiplier=m)
  
      create_kernel(np.array([1.0, 2.0, 3.0]))
  
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 23 for calling the PositiveSemidefiniteKernelTest obj's underlying member method code with example usage: obj.testInputOutputOfJittedFunction() and returns: CompositeTensorTestKernel