os << operand_type;
    }
  }
  os << ") -> (";
  if (!inst->getResultTypes().empty()) {
    bool first = true;
    for (Type result_type : inst->getResultTypes()) {
      os << (!first ? ", " : "");
      first = false;
      os << result_type;
    }
  }
  os << ")";
  // Print out attributes except for large elementsattributes (which should

    *   Add ellipsis (...) support for `tf.einsum()`.
    *   Add expand_composites argument to all `nest.*` methods.
    *   Added `strings.byte_split`.
    *   Add a new "result_type" parameter to `tf.strings.split`.
    *   Add name argument to `tf.string_split` and `tf.strings_split`.
    *   Extend `tf.strings.split` to support inputs with any rank.
    *   Added `tf.random.binomial`.

  );

  let results = (outs
    Variadic<TF_Tensor>:$results
  );

  TF_DerivedOperandTypeListAttr operand_dtypes = TF_DerivedOperandTypeListAttr<0>;
  TF_DerivedResultTypeListAttr result_dtypes = TF_DerivedResultTypeListAttr<0>;
}

def TF_XlaDotOp : TF_Op<"XlaDot", [Pure, TF_NoConstantFold]> {
  let summary = "Wraps the XLA DotGeneral operator, documented at";

  let description = [{