class_docstr: Represents a multi-task kernel whose kernel can be separated as a product.
class_docstr_tok: ["Represents","a","multi-task","kernel","whose","kernel","can","be","separated","as","a","product","."]
code: def task_kernel_matrix_linop(self):
      return self._task_kernel_matrix_linop
  
imports: import tensorflow.compat.v2
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import nest_util
  from tensorflow_probability.python.internal import parameter_properties
  from tensorflow_probability.python.internal import tensor_util
  from tensorflow_probability.python.math.psd_kernels import positive_semidefinite_kernel
label_desc: Use image node_id 3 for calling the Separable obj's underlying member method code with example usage: obj.task_kernel_matrix_linop() and returns: self