p << " : ";
  if (getTrueOutput().getType() != data_operand_ty ||
      getFalseOutput().getType() != data_operand_ty ||
      mlir::isa<UnrankedTensorType>(getPredicate().getType())) {
    p.printFunctionalType(getOperation());
  } else {
    p << getType(0);
  }
  p.printOptionalAttrDict(getOperation()->getAttrs());
}

//===----------------------------------------------------------------------===//