17     m_TfLiteInterpreter =  std::make_unique<Interpreter>();  in TfLiteExecutor()
21     if (builder(&m_TfLiteInterpreter) != kTfLiteOk)  in TfLiteExecutor()
25     if (m_TfLiteInterpreter->AllocateTensors() != kTfLiteOk)  in TfLiteExecutor()
39         if (m_TfLiteInterpreter->ModifyGraphWithDelegate(std::move(theArmnnDelegate)) != kTfLiteOk)  in TfLiteExecutor()
49     const size_t numInputs = m_TfLiteInterpreter->inputs().size();  in TfLiteExecutor()
57         int input = m_TfLiteInterpreter->inputs()[inputIndex];  in TfLiteExecutor()
58         const auto& inputName = m_TfLiteInterpreter->tensor(input)->name;  in TfLiteExecutor()
61         if (!tflite::IsConstantTensor(m_TfLiteInterpreter->tensor(input)))  in TfLiteExecutor()
63             TfLiteIntArray* inputDims = m_TfLiteInterpreter->tensor(input)->dims;  in TfLiteExecutor()
71             const auto& dataType = m_TfLiteInterpreter->tensor(input)->type;  in TfLiteExecutor()
77                     auto inputData = m_TfLiteInterpreter->typed_tensor<float>(input);  in TfLiteExecutor()
83                     auto inputData = m_TfLiteInterpreter->typed_tensor<int32_t>(input);  in TfLiteExecutor()
89                     auto inputData = m_TfLiteInterpreter->typed_tensor<uint8_t>(input);  in TfLiteExecutor()
95                     auto inputData = m_TfLiteInterpreter->typed_tensor<int16_t>(input);  in TfLiteExecutor()
101                     auto inputData = m_TfLiteInterpreter->typed_tensor<int8_t>(input);  in TfLiteExecutor()
127         status = m_TfLiteInterpreter->Invoke();  in Execute()
133 …for (unsigned int outputIndex = 0; outputIndex < m_TfLiteInterpreter->outputs().size(); ++outputIn…  in Execute()
135                 auto tfLiteDelegateOutputId = m_TfLiteInterpreter->outputs()[outputIndex];  in Execute()
136 …            TfLiteIntArray* outputDims = m_TfLiteInterpreter->tensor(tfLiteDelegateOutputId)->dims;  in Execute()
159                 std::cout << m_TfLiteInterpreter->tensor(tfLiteDelegateOutputId)->name << ": ";  in Execute()
160                 results.push_back(m_TfLiteInterpreter->tensor(tfLiteDelegateOutputId)->allocation);  in Execute()
162                 switch (m_TfLiteInterpreter->tensor(tfLiteDelegateOutputId)->type)  in Execute()
167                         auto tfLiteDelegateOutputData = m_TfLiteInterpreter->typed_tensor<float>(  in Execute()
178                         auto tfLiteDelegateOutputData = m_TfLiteInterpreter->typed_tensor<int32_t>(  in Execute()
188                         auto tfLiteDelegateOutputData = m_TfLiteInterpreter->typed_tensor<uint8_t>(  in Execute()
198                         auto tfLiteDelegateOutputData = m_TfLiteInterpreter->typed_tensor<int8_t>(  in Execute()
208                         auto tfLiteDelegateOutputData = m_TfLiteInterpreter->typed_tensor<bool>(  in Execute()
233 …for (unsigned int outputIndex = 0; outputIndex < m_TfLiteInterpreter->outputs().size(); ++outputIn…  in CompareAndPrintResult()
235         auto tfLiteDelegateOutputId = m_TfLiteInterpreter->outputs()[outputIndex];  in CompareAndPrintResult()
236         size_t size = m_TfLiteInterpreter->tensor(tfLiteDelegateOutputId)->bytes;  in CompareAndPrintResult()
237 …double result = ComputeByteLevelRMSE(m_TfLiteInterpreter->tensor(tfLiteDelegateOutputId)->allocati…  in CompareAndPrintResult()