diff --git a/tests/NetworkExecutionUtils/NetworkExecutionUtils.cpp b/tests/NetworkExecutionUtils/NetworkExecutionUtils.cpp
new file mode 100644
index 0000000..3e7c87d
--- /dev/null
+++ b/tests/NetworkExecutionUtils/NetworkExecutionUtils.cpp
@@ -0,0 +1,292 @@
+//
+// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "NetworkExecutionUtils.hpp"
+
+#include <Filesystem.hpp>
+#include <InferenceTest.hpp>
+#include <ResolveType.hpp>
+
+#if defined(ARMNN_SERIALIZER)
+#include "armnnDeserializer/IDeserializer.hpp"
+#endif
+#if defined(ARMNN_CAFFE_PARSER)
+#include "armnnCaffeParser/ICaffeParser.hpp"
+#endif
+#if defined(ARMNN_TF_PARSER)
+#include "armnnTfParser/ITfParser.hpp"
+#endif
+#if defined(ARMNN_TF_LITE_PARSER)
+#include "armnnTfLiteParser/ITfLiteParser.hpp"
+#endif
+#if defined(ARMNN_ONNX_PARSER)
+#include "armnnOnnxParser/IOnnxParser.hpp"
+#endif
+
+
+template<typename T, typename TParseElementFunc>
+std::vector<T> ParseArrayImpl(std::istream& stream, TParseElementFunc parseElementFunc, const char* chars = "\t ,:")
+{
+    std::vector<T> result;
+    // Processes line-by-line.
+    std::string line;
+    while (std::getline(stream, line))
+    {
+        std::vector<std::string> tokens = armnn::stringUtils::StringTokenizer(line, chars);
+        for (const std::string& token : tokens)
+        {
+            if (!token.empty()) // See https://stackoverflow.com/questions/10437406/
+            {
+                try
+                {
+                    result.push_back(parseElementFunc(token));
+                }
+                catch (const std::exception&)
+                {
+                    ARMNN_LOG(error) << "'" << token << "' is not a valid number. It has been ignored.";
+                }
+            }
+        }
+    }
+
+    return result;
+}
+
+
+template<armnn::DataType NonQuantizedType>
+auto ParseDataArray(std::istream& stream);
+
+template<armnn::DataType QuantizedType>
+auto ParseDataArray(std::istream& stream,
+                    const float& quantizationScale,
+                    const int32_t& quantizationOffset);
+
+template<>
+auto ParseDataArray<armnn::DataType::Float32>(std::istream& stream)
+{
+    return ParseArrayImpl<float>(stream, [](const std::string& s) { return std::stof(s); });
+}
+
+template<>
+auto ParseDataArray<armnn::DataType::Signed32>(std::istream& stream)
+{
+    return ParseArrayImpl<int>(stream, [](const std::string& s) { return std::stoi(s); });
+}
+
+template<>
+auto ParseDataArray<armnn::DataType::QAsymmU8>(std::istream& stream)
+{
+    return ParseArrayImpl<uint8_t>(stream,
+                                   [](const std::string& s) { return armnn::numeric_cast<uint8_t>(std::stoi(s)); });
+}
+
+template<>
+auto ParseDataArray<armnn::DataType::QAsymmU8>(std::istream& stream,
+                                               const float& quantizationScale,
+                                               const int32_t& quantizationOffset)
+{
+    return ParseArrayImpl<uint8_t>(stream,
+                                   [&quantizationScale, &quantizationOffset](const std::string& s)
+                                   {
+                                       return armnn::numeric_cast<uint8_t>(
+                                               armnn::Quantize<uint8_t>(std::stof(s),
+                                                                        quantizationScale,
+                                                                        quantizationOffset));
+                                   });
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+std::vector<T> GenerateDummyTensorData(unsigned int numElements)
+{
+    return std::vector<T>(numElements, static_cast<T>(0));
+}
+
+
+std::vector<unsigned int> ParseArray(std::istream& stream)
+{
+    return ParseArrayImpl<unsigned int>(
+            stream,
+            [](const std::string& s) { return armnn::numeric_cast<unsigned int>(std::stoi(s)); });
+}
+
+std::vector<std::string> ParseStringList(const std::string& inputString, const char* delimiter)
+{
+    std::stringstream stream(inputString);
+    return ParseArrayImpl<std::string>(stream, [](const std::string& s) {
+        return armnn::stringUtils::StringTrimCopy(s); }, delimiter);
+}
+
+
+TensorPrinter::TensorPrinter(const std::string& binding,
+                             const armnn::TensorInfo& info,
+                             const std::string& outputTensorFile,
+                             bool dequantizeOutput)
+                             : m_OutputBinding(binding)
+                             , m_Scale(info.GetQuantizationScale())
+                             , m_Offset(info.GetQuantizationOffset())
+                             , m_OutputTensorFile(outputTensorFile)
+                             , m_DequantizeOutput(dequantizeOutput) {}
+
+void TensorPrinter::operator()(const std::vector<float>& values)
+{
+    ForEachValue(values, [](float value)
+    {
+        printf("%f ", value);
+    });
+    WriteToFile(values);
+}
+
+void TensorPrinter::operator()(const std::vector<uint8_t>& values)
+{
+    if(m_DequantizeOutput)
+    {
+        auto& scale = m_Scale;
+        auto& offset = m_Offset;
+        std::vector<float> dequantizedValues;
+        ForEachValue(values, [&scale, &offset, &dequantizedValues](uint8_t value)
+        {
+            auto dequantizedValue = armnn::Dequantize(value, scale, offset);
+            printf("%f ", dequantizedValue);
+            dequantizedValues.push_back(dequantizedValue);
+        });
+        WriteToFile(dequantizedValues);
+    }
+    else
+    {
+        const std::vector<int> intValues(values.begin(), values.end());
+        operator()(intValues);
+    }
+}
+
+void TensorPrinter::operator()(const std::vector<int>& values)
+{
+    ForEachValue(values, [](int value)
+    {
+        printf("%d ", value);
+    });
+    WriteToFile(values);
+}
+
+template<typename Container, typename Delegate>
+void TensorPrinter::ForEachValue(const Container& c, Delegate delegate)
+{
+    std::cout << m_OutputBinding << ": ";
+    for (const auto& value : c)
+    {
+        delegate(value);
+    }
+    printf("\n");
+}
+
+template<typename T>
+void TensorPrinter::WriteToFile(const std::vector<T>& values)
+{
+    if (!m_OutputTensorFile.empty())
+    {
+        std::ofstream outputTensorFile;
+        outputTensorFile.open(m_OutputTensorFile, std::ofstream::out | std::ofstream::trunc);
+        if (outputTensorFile.is_open())
+        {
+            outputTensorFile << m_OutputBinding << ": ";
+            std::copy(values.begin(), values.end(), std::ostream_iterator<T>(outputTensorFile, " "));
+        }
+        else
+        {
+            ARMNN_LOG(info) << "Output Tensor File: " << m_OutputTensorFile << " could not be opened!";
+        }
+        outputTensorFile.close();
+    }
+}
+
+using TContainer         = mapbox::util::variant<std::vector<float>, std::vector<int>, std::vector<unsigned char>>;
+using QuantizationParams = std::pair<float, int32_t>;
+
+void PopulateTensorWithData(TContainer& tensorData,
+                            unsigned int numElements,
+                            const std::string& dataTypeStr,
+                            const armnn::Optional<QuantizationParams>& qParams,
+                            const armnn::Optional<std::string>& dataFile)
+{
+    const bool readFromFile = dataFile.has_value() && !dataFile.value().empty();
+    const bool quantizeData = qParams.has_value();
+
+    std::ifstream inputTensorFile;
+    if (readFromFile)
+    {
+        inputTensorFile = std::ifstream(dataFile.value());
+    }
+
+    if (dataTypeStr.compare("float") == 0)
+    {
+        if (quantizeData)
+        {
+            const float qScale  = qParams.value().first;
+            const int   qOffset = qParams.value().second;
+
+            tensorData = readFromFile ?
+                         ParseDataArray<armnn::DataType::QAsymmU8>(inputTensorFile, qScale, qOffset) :
+                         GenerateDummyTensorData<armnn::DataType::QAsymmU8>(numElements);
+        }
+        else
+        {
+            tensorData = readFromFile ?
+                         ParseDataArray<armnn::DataType::Float32>(inputTensorFile) :
+                         GenerateDummyTensorData<armnn::DataType::Float32>(numElements);
+        }
+    }
+    else if (dataTypeStr.compare("int") == 0)
+    {
+        tensorData = readFromFile ?
+                     ParseDataArray<armnn::DataType::Signed32>(inputTensorFile) :
+                     GenerateDummyTensorData<armnn::DataType::Signed32>(numElements);
+    }
+    else if (dataTypeStr.compare("qasymm8") == 0)
+    {
+        tensorData = readFromFile ?
+                     ParseDataArray<armnn::DataType::QAsymmU8>(inputTensorFile) :
+                     GenerateDummyTensorData<armnn::DataType::QAsymmU8>(numElements);
+    }
+    else
+    {
+        std::string errorMessage = "Unsupported tensor data type " + dataTypeStr;
+        ARMNN_LOG(fatal) << errorMessage;
+
+        inputTensorFile.close();
+        throw armnn::Exception(errorMessage);
+    }
+
+    inputTensorFile.close();
+}
+
+bool ValidatePath(const std::string& file, const bool expectFile)
+{
+    if (!fs::exists(file))
+    {
+        std::cerr << "Given file path '" << file << "' does not exist" << std::endl;
+        return false;
+    }
+    if (!fs::is_regular_file(file) && expectFile)
+    {
+        std::cerr << "Given file path '" << file << "' is not a regular file" << std::endl;
+        return false;
+    }
+    return true;
+}
+
+bool ValidatePaths(const std::vector<std::string>& fileVec, const bool expectFile)
+{
+    bool allPathsValid = true;
+    for (auto const& file : fileVec)
+    {
+        if(!ValidatePath(file, expectFile))
+        {
+            allPathsValid = false;
+        }
+    }
+    return allPathsValid;
+}
+
+
+