dispatch to logical ops. This brings them more in line with Python and NumPy
    behavior.
*   Adds `tf.SparseTensor.with_values`. This returns a new SparseTensor with the
    same sparsity pattern, but with new provided values. It is similar to the
    `with_values` function of `RaggedTensor`.
*   Adds `StatelessCase` op, and uses it if none of case branches has stateful

                items:
                  type: string
                type: array
              endpoints:
                description: One or more endpoints associated with the service.
                items:
                  properties:
                    address:
                      description: Address associated with the network endpoint without

                items:
                  type: string
                type: array
              endpoints:
                description: One or more endpoints associated with the service.
                items:
                  properties:
                    address:
                      description: Address associated with the network endpoint without