Res<TF_Tensor, [{The partially reversed input. It has the same shape as `input`.}]>:$output
  );

  TF_DerivedOperandTypeAttr T = TF_DerivedOperandTypeAttr<0>;
  TF_DerivedOperandTypeAttr Tlen = TF_DerivedOperandTypeAttr<1>;
}

def TF_ReverseV2Op : TF_Op<"ReverseV2", [Pure]> {
  let summary = "Reverses specific dimensions of a tensor.";

  let description = [{

    `RandomTranslation`, `RandomRotation`, `RandomHeight`, `RandomWidth`,
    `RandomZoom`, `RandomContrast`
*   Improved **`TextVectorization`** layer, which handles string tokenization,
    n-gram generation, and token encoding
    *   The `TextVectorization` layer now accounts for the mask_token as part of
        the vocabulary size when output_mode='int'. This means that, if you have