}

tensorflow::DataType GetQuantizedInferenceType(bool is_signed,
                                               int number_of_bits) {
  if (is_signed && number_of_bits == 8) {
    return tensorflow::DT_QINT8;
  } else if (!is_signed && number_of_bits == 8) {
    return tensorflow::DT_QUINT8;
  } else if (is_signed && number_of_bits == 16) {
    return tensorflow::DT_QINT16;
  } else {
    return tensorflow::DT_INVALID;
  }
}

          rewriter.getIntegerType(tensor_property.number_of_bits), expressed,
          /*scale=*/bound / -llvm::minIntN(tensor_property.number_of_bits),
          /*zeroPoint=*/0, llvm::minIntN(tensor_property.number_of_bits),
          llvm::maxIntN(tensor_property.number_of_bits));
    } else {
      // int16 uses range [-32767, 32767]
      if (tensor_property.number_of_bits == 16) {
        max = std::max(std::abs(min), std::abs(max));