with tf.Session() as sess:
  print sess.run(add)
```

The resulting update to ref would look like this:

    [1, 13, 3, 14, 14, 6, 7, 20]

See `tf.scatter_nd` for more details about how to make updates to
slices.
  }];

  let arguments = (ins
    Arg<TF_ResourceTensor, [{A resource handle. Must be from a VarHandleOp.}], [TF_VariableRead, TF_VariableWrite]>:$ref,

        *   `tf.unsortedsegmentprod` op is supported.
        *   `tf.unsortedsegmentmax` op is supported.
        *   `tf.unsortedsegmentsum` op is supported.
    *   Updates to existing operations:
        *   `tfl.scatter_nd` now supports I1 for the `update` arg.
    *   Upgrade Flatbuffers v2.0.5 from v1.12.0

*   `tf.keras`:

    *   `EinsumDense` layer is moved from experimental to core. Its import path