all transformations.
    *   The optimization `parallel_batch` now becomes default if not disabled by
        users, which will parallelize copying of batch elements.
    *   Added the ability for `TensorSliceDataset` to identify and handle inputs
        that are files. This enables creating hermetic SavedModels when using
        datasets created from files.

  );

  TF_DerivedOperandTypeAttr T = TF_DerivedOperandTypeAttr<2>;
}

def TF_BitcastOp : TF_Op<"Bitcast", [Pure]> {
  let summary = [{
Bitcasts a tensor from one type to another without copying data.
  }];

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