}];

  let arguments = (ins
    Arg<Variadic<TF_Float32Tensor>, [{A TensorList of gradients with which to update embedding tables.}]>:$gradients,
    Arg<Variadic<TF_Float32Tensor>, [{A TensorList of learning rates used for updating the embedding
tables via the optimizer. The length of the TensorList must be equal to the
number of dynamic learning rate tags specified in the

*   Others
    *   Retain parent namescope for ops added inside
        `tf.while_loop`/`tf.cond`/`tf.switch_case`.
    *   Update `tf.vectorized_map` to support vectorizing `tf.while_loop` and
        TensorList operations.
    *   `tf.custom_gradient` can now be applied to functions that accept nested
        structures of `tensors` as inputs (instead of just a list of tensors).