tflite::metrics::ConverterErrorData::ErrorCode error_code,
    const std::string& op_name, const Location& location) {
  using tflite::metrics::ConverterErrorData;
  ConverterErrorData error;
  if (!pass_name.empty()) {
    error.set_subcomponent(pass_name);
  }

  if (!error_message.empty()) {
    error.set_error_message(error_message);
  }

  if (!op_name.empty()) {
    error.mutable_operator_()->set_name(op_name);

            "instead. See https://www.tensorflow.org/api_docs/python/tf/compat/"
            "v1/enable_control_flow_v2."),
        tflite::metrics::ConverterErrorData::ERROR_UNSUPPORTED_CONTROL_FLOW_V1);
    return mlir::failure();
  }
  return mlir::success();
}

mlir::LogicalResult GraphContainsStatefulPartitionedOp(mlir::ModuleOp module) {

            tflite::metrics::ConverterErrorData::ERROR_NEEDS_FLEX_OPS);
      } else {
        failed_custom_ops_[op_name].insert(op_desc);
        tfl::AttachErrorCode(
            inst->emitOpError("is neither a custom op nor a flex op"),
            tflite::metrics::ConverterErrorData::ERROR_NEEDS_CUSTOM_OPS);
      }
      return std::nullopt;
    }