Method Run

samples/ObjectDetection/include/delegate/ArmnnNetworkExecutor.hpp:179–217

template <typename Tout>
bool ArmnnNetworkExecutor<Tout>::Run(const void *inputData, const size_t dataBytes,
                                             InferenceResults<Tout>& outResults)
{
    bool ret = false;
    m_profiling.ProfilingStart();
    PrepareTensors(inputData, dataBytes);

    if (m_interpreter->Invoke() == kTfLiteOk)
    {


        ret = true;
        // Extract the output tensor data.
        outResults.clear();
        outResults.reserve(m_interpreter->outputs().size());
        for (int index = 0; index < m_interpreter->outputs().size(); index++)
        {
            size_t size = m_interpreter->output_tensor(index)->bytes / sizeof(Tout);
            const Tout *p_Output = m_interpreter->typed_output_tensor<Tout>(index);
            if (p_Output != nullptr) {
                InferenceResult<float> outRes(p_Output, p_Output + size);
                outResults.emplace_back(outRes);
            }
            else
            {
                const std::string errorMessage{"ArmnnNetworkExecutor: p_Output tensor is null"};
                ARMNN_LOG(error) << errorMessage;
                ret = false;
            }
        }
    }
    else
    {
        const std::string errorMessage{"ArmnnNetworkExecutor: Invoke has failed"};
        ARMNN_LOG(error) << errorMessage;
    }
    m_profiling.ProfilingStopAndPrintUs("Perform inference");
    return ret;
}

template <typename Tout>
Size ArmnnNetworkExecutor<Tout>::GetImageAspectRatio()