Method CompareAndPrintResult

tests/ExecuteNetwork/TfliteExecutor.cpp:411–464

}

unsigned int TfLiteExecutor::CompareAndPrintResult(std::vector<const void*> otherOutput)
{
    // Track the per output tensor results. Return the last non-zero value.
    unsigned int overallResult = 0;
    for (unsigned int outputIndex = 0; outputIndex < m_TfLiteInterpreter->outputs().size(); ++outputIndex)
    {
        auto tfLiteDelegateOutputId = m_TfLiteInterpreter->outputs()[outputIndex];
        size_t size                 = m_TfLiteInterpreter->tensor(tfLiteDelegateOutputId)->bytes;
        double result = 1; // Presume failure.
        switch (m_TfLiteInterpreter->tensor(tfLiteDelegateOutputId)->type)
        {
            case kTfLiteFloat32:
            {
                auto tfLiteDelegateOutputData = m_TfLiteInterpreter->typed_tensor<float>(tfLiteDelegateOutputId);
                result = ComputeByteLevelRMSE(tfLiteDelegateOutputData, otherOutput[outputIndex], size);
                break;
            }
            case kTfLiteInt32:
            {
                auto tfLiteDelegateOutputData = m_TfLiteInterpreter->typed_tensor<int32_t>(tfLiteDelegateOutputId);
                result = ComputeByteLevelRMSE(tfLiteDelegateOutputData, otherOutput[outputIndex], size);
                break;
            }
            case kTfLiteUInt8:
            {
                auto tfLiteDelegateOutputData = m_TfLiteInterpreter->typed_tensor<uint8_t>(tfLiteDelegateOutputId);
                result = ComputeByteLevelRMSE(tfLiteDelegateOutputData, otherOutput[outputIndex], size);
                break;
            }
            case kTfLiteInt8:
            {
                auto tfLiteDelegateOutputData = m_TfLiteInterpreter->typed_tensor<int8_t>(tfLiteDelegateOutputId);
                result = ComputeByteLevelRMSE(tfLiteDelegateOutputData, otherOutput[outputIndex], size);
                break;
            }
            case kTfLiteBool:
            {
                auto tfLiteDelegateOutputData = m_TfLiteInterpreter->typed_tensor<bool>(tfLiteDelegateOutputId);
                result = ComputeByteLevelRMSE(tfLiteDelegateOutputData, otherOutput[outputIndex], size);
                break;
            }
            default:
            {
                LogAndThrow("Unsupported output type");
            }
        }
        std::cout << "Byte level root mean square error: " << result << "\n";
        if (result != 0)
        {
            overallResult = static_cast<unsigned int>(result);
        }
    }
    return overallResult;
};