diff --git a/src/armnnSerializer/test/SerializerTestUtils.hpp b/src/armnnSerializer/test/SerializerTestUtils.hpp
new file mode 100644
index 0000000..e085d2e
--- /dev/null
+++ b/src/armnnSerializer/test/SerializerTestUtils.hpp
@@ -0,0 +1,167 @@
+//
+// Copyright © 2021 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include <armnn/Descriptors.hpp>
+#include <armnn/INetwork.hpp>
+#include <armnn/TypesUtils.hpp>
+#include <armnnDeserializer/IDeserializer.hpp>
+#include <armnn/utility/IgnoreUnused.hpp>
+
+#include <random>
+#include <vector>
+
+#include <boost/test/unit_test.hpp>
+
+
+armnn::INetworkPtr DeserializeNetwork(const std::string& serializerString);
+
+std::string SerializeNetwork(const armnn::INetwork& network);
+
+void CompareConstTensor(const armnn::ConstTensor& tensor1, const armnn::ConstTensor& tensor2);
+
+class LayerVerifierBase : public armnn::IStrategy
+{
+public:
+    LayerVerifierBase(const std::string& layerName,
+                      const std::vector<armnn::TensorInfo>& inputInfos,
+                      const std::vector<armnn::TensorInfo>& outputInfos);
+
+    void ExecuteStrategy(const armnn::IConnectableLayer* layer,
+                         const armnn::BaseDescriptor& descriptor,
+                         const std::vector<armnn::ConstTensor>& constants,
+                         const char* name,
+                         const armnn::LayerBindingId id = 0) override;
+
+protected:
+    void VerifyNameAndConnections(const armnn::IConnectableLayer* layer, const char* name);
+
+    void VerifyConstTensors(const std::string& tensorName,
+                            const armnn::ConstTensor* expectedPtr,
+                            const armnn::ConstTensor* actualPtr);
+
+private:
+    std::string m_LayerName;
+    std::vector<armnn::TensorInfo> m_InputTensorInfos;
+    std::vector<armnn::TensorInfo> m_OutputTensorInfos;
+};
+
+template<typename Descriptor>
+class LayerVerifierBaseWithDescriptor : public LayerVerifierBase
+{
+public:
+    LayerVerifierBaseWithDescriptor(const std::string& layerName,
+                                    const std::vector<armnn::TensorInfo>& inputInfos,
+                                    const std::vector<armnn::TensorInfo>& outputInfos,
+                                    const Descriptor& descriptor)
+        : LayerVerifierBase(layerName, inputInfos, outputInfos)
+        , m_Descriptor(descriptor) {}
+
+    void ExecuteStrategy(const armnn::IConnectableLayer* layer,
+                         const armnn::BaseDescriptor& descriptor,
+                         const std::vector<armnn::ConstTensor>& constants,
+                         const char* name,
+                         const armnn::LayerBindingId id = 0) override
+    {
+        armnn::IgnoreUnused(constants, id);
+        switch (layer->GetType())
+        {
+            case armnn::LayerType::Input: break;
+            case armnn::LayerType::Output: break;
+            default:
+            {
+                VerifyNameAndConnections(layer, name);
+                const Descriptor& internalDescriptor = static_cast<const Descriptor&>(descriptor);
+                VerifyDescriptor(internalDescriptor);
+                break;
+            }
+        }
+    }
+
+protected:
+    void VerifyDescriptor(const Descriptor& descriptor)
+    {
+        BOOST_CHECK(descriptor == m_Descriptor);
+    }
+
+    Descriptor m_Descriptor;
+};
+
+template<typename T>
+void CompareConstTensorData(const void* data1, const void* data2, unsigned int numElements)
+{
+    T typedData1 = static_cast<T>(data1);
+    T typedData2 = static_cast<T>(data2);
+    BOOST_CHECK(typedData1);
+    BOOST_CHECK(typedData2);
+
+    for (unsigned int i = 0; i < numElements; i++)
+    {
+        BOOST_TEST(typedData1[i] == typedData2[i]);
+    }
+}
+
+
+template <typename Descriptor>
+class LayerVerifierBaseWithDescriptorAndConstants : public LayerVerifierBaseWithDescriptor<Descriptor>
+{
+public:
+    LayerVerifierBaseWithDescriptorAndConstants(const std::string& layerName,
+                                                const std::vector<armnn::TensorInfo>& inputInfos,
+                                                const std::vector<armnn::TensorInfo>& outputInfos,
+                                                const Descriptor& descriptor,
+                                                const std::vector<armnn::ConstTensor>& constants)
+            : LayerVerifierBaseWithDescriptor<Descriptor>(layerName, inputInfos, outputInfos, descriptor)
+            , m_Constants(constants) {}
+
+    void ExecuteStrategy(const armnn::IConnectableLayer* layer,
+                         const armnn::BaseDescriptor& descriptor,
+                         const std::vector<armnn::ConstTensor>& constants,
+                         const char* name,
+                         const armnn::LayerBindingId id = 0) override
+    {
+        armnn::IgnoreUnused(id);
+
+        switch (layer->GetType())
+        {
+            case armnn::LayerType::Input: break;
+            case armnn::LayerType::Output: break;
+            default:
+            {
+                this->VerifyNameAndConnections(layer, name);
+                const Descriptor& internalDescriptor = static_cast<const Descriptor&>(descriptor);
+                this->VerifyDescriptor(internalDescriptor);
+
+                for(std::size_t i = 0; i < constants.size(); i++)
+                {
+                    CompareConstTensor(constants[i], m_Constants[i]);
+                }
+            }
+        }
+    }
+
+private:
+    std::vector<armnn::ConstTensor> m_Constants;
+};
+
+template<typename DataType>
+static std::vector<DataType> GenerateRandomData(size_t size)
+{
+    constexpr bool isIntegerType = std::is_integral<DataType>::value;
+    using Distribution =
+        typename std::conditional<isIntegerType,
+                                  std::uniform_int_distribution<DataType>,
+                                  std::uniform_real_distribution<DataType>>::type;
+
+    static constexpr DataType lowerLimit = std::numeric_limits<DataType>::min();
+    static constexpr DataType upperLimit = std::numeric_limits<DataType>::max();
+
+    static Distribution distribution(lowerLimit, upperLimit);
+    static std::default_random_engine generator;
+
+    std::vector<DataType> randomData(size);
+    std::generate(randomData.begin(), randomData.end(), []() { return distribution(generator); });
+
+    return randomData;
+}
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