}];

  let description = [{
Given a tensor `input`, this operation returns a tensor that has the same buffer
data as `input` with datatype `type`.

If the input datatype `T` is larger than the output datatype `type` then the
shape changes from [...] to [..., sizeof(`T`)/sizeof(`type`)].

If `T` is smaller than `type`, the operator requires that the rightmost

        tf.constant.
    *   Add experimental IndexedDatasets.
    *   Add selective registration target using the lite proto runtime.
    *   Add simple Tensor and DataType classes to TensorFlow Lite Java
    *   Add support for bitcasting to/from uint32 and uint64.
    *   Added a subclass of Estimator that can be created from a SavedModel
        (SavedModelEstimator).