class_docstr: A version of the Separable kernel that's inefficient.
code: def _parameter_properties(cls, dtype, num_classes=None):
      return dict(
          base_kernel=parameter_properties.BatchedComponentProperties(),
          task_kernel_matrix_linop=(
              parameter_properties.BatchedComponentProperties()
          ),
      )
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import gaussian_process
  from tensorflow_probability.python.experimental.distributions import multitask_gaussian_process
  from tensorflow_probability.python.experimental.distributions import multitask_gaussian_process_regression_model
  from tensorflow_probability.python.experimental.psd_kernels import multitask_kernel
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import parameter_properties
  from tensorflow_probability.python.internal import tensor_util
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math.psd_kernels import exponentiated_quadratic
  from tensorflow_probability.python.math.psd_kernels.internal import test_util
label_desc: Use image node_id 4 for calling the InefficientSeparable obj's underlying member method code with example usage: obj._parameter_properties(cls, dtype, num_classes) and returns: dict