submodules to `tf.saved_model` module. New endpoints are added in V1 and
        V2 but existing endpoint removals are only applied in V2.
    *   Deprecates behavior where device assignment overrides collocation
        constraints inside a collocation context manager.
*   Keras & Python API
    *   Add to Keras functionality analogous to
        `tf.register_tensor_conversion_function`.
    *   Subclassed Keras models can now be saved through

- Fix detach from non-existant nodes and support dangling volumes (#104912, @gnufied) [SIG Cloud Provider and Storage]
- Revert PR #102925 which introduced unexpected scheduling behavior based on balanced resource allocation (#105526, @harisund) [SIG Scheduling]

## Dependencies

### Added
_Nothing has changed._

### Changed
_Nothing has changed._

### Removed
_Nothing has changed._

      name: Hosts
      type: string
    - description: Whether the service is external to the mesh or part of the mesh
        (MESH_EXTERNAL or MESH_INTERNAL)
      jsonPath: .spec.location
      name: Location
      type: string
    - description: Service resolution mode for the hosts (NONE, STATIC, or DNS)
      jsonPath: .spec.resolution
      name: Resolution
      type: string

1DA76..1DA83  ; valid                  ;      ; NV8    # 8.0  SIGNWRITING LIMB COMBINATION..SIGNWRITING LOCATION DEPTH
1DA84         ; valid                                  # 8.0  SIGNWRITING LOCATION HEAD NECK
1DA85..1DA8B  ; valid                  ;      ; NV8    # 8.0  SIGNWRITING LOCATION TORSO..SIGNWRITING PARENTHESIS
1DA8C..1DA9A  ; disallowed                             # NA   <reserved-1DA8C>..<reserved-1DA9A>