*   <IF RELEASE CONTAINS MULTIPLE FEATURES FROM SAME AREA, GROUP THEM TOGETHER>

*   Add `is_cpu_target_available`, which indicates whether or not TensorFlow was
    built with support for a given CPU target. This can be useful for skipping
    target-specific tests if a target is not supported.

*   `tf.data`
    * Support `data.experimental.distribued_save`. `distribued_save` uses
      tf.data service

                  group:
                    description: group is the group of the target resource.
                    type: string
                  kind:
                    description: kind is kind of the target resource.
                    type: string
                  name:
                    description: name is the name of the target resource.
                    type: string
                  namespace:

                  group:
                    description: group is the group of the target resource.
                    type: string
                  kind:
                    description: kind is kind of the target resource.
                    type: string
                  name:
                    description: name is the name of the target resource.
                    type: string
                  namespace: