class_docstr: Represents a multi-task kernel whose computations are independent of task.
class_docstr_tok: ["Represents","a","multi-task","kernel","whose","computations","are","independent","of","task","."]
code: def base_kernel(self):
      return self._base_kernel
  
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 2 for calling the Independent obj's underlying member method code with example usage: obj.base_kernel() and returns: self