%6 = "tfl.custom"(%5, %cst) {custom_code = "FlexTranspose", custom_option = #tfl<const_bytes : "0x095472616E73706F7365002712095472616E73706F73651A001A002A0B0A05547065726D120230032A070A01541202300732000002342A1414042801">, tac.device = "CPU", tac.inference_type = "FLOAT"} : (tensor<?x?x!tf_type.string>, tensor<2xi32>) -> tensor<?x?x!tf_type.string>

             op.large_custom_options_size);
    } else {
      custom_options = op.custom_options;
    }

    status = mlir::CustomOptionsToAttributes(
        op_code.custom_code, custom_options, builder, loc, &attrs);
    if (!status.ok()) {
      return emitError(loc, status.ToString()), status;
    }
  } else {
    mlir::BuiltinOptionsToAttributes(op.builtin_options, builder, attrs);