IVGCVSW-5253 Use CreateTensorHandle() function from TensorHandleFactory in the tests for layers M-P

Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: I324eee7d750e30f714e0d346b7da7b69866ff935

12 files changed, 953 insertions, 689 deletions

diff --git a/src/backends/backendsCommon/test/layerTests/MeanTestImpl.hpp b/src/backends/backendsCommon/test/layerTests/MeanTestImpl.hpp
index 283bfd9502..ba827b1860 100644
--- a/src/backends/backendsCommon/test/layerTests/MeanTestImpl.hpp
+++ b/src/backends/backendsCommon/test/layerTests/MeanTestImpl.hpp
@@ -19,6 +19,7 @@ template<armnn::DataType ArmnnType, typename T, std::size_t InputDim, std::size_
 LayerTestResult<T, OutputDim> MeanTestHelper(
         armnn::IWorkloadFactory& workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory,
         const unsigned int* inputShape,
         const std::vector<float>& inputData,
         const std::vector<unsigned int>& axis,
@@ -45,10 +46,8 @@ LayerTestResult<T, OutputDim> MeanTestHelper(
     result.outputExpected = MakeTensor<T, OutputDim>(
             outputTensorInfo, ConvertToDataType<ArmnnType>(outputData, outputTensorInfo));
 
-    ARMNN_NO_DEPRECATE_WARN_BEGIN
-    std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo);
-    std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
-    ARMNN_NO_DEPRECATE_WARN_END
+    std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo);
+    std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo);
 
     armnn::MeanQueueDescriptor data;
     data.m_Parameters.m_Axis = axis;
@@ -77,7 +76,8 @@ LayerTestResult<T, OutputDim> MeanTestHelper(
 template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 1> MeanSimpleTest(
         armnn::IWorkloadFactory& workloadFactory,
-        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     const unsigned int inputShape[] = { 3, 2 };
     const unsigned int outputShape[] = { 1 };
@@ -86,13 +86,14 @@ LayerTestResult<T, 1> MeanSimpleTest(
     std::vector<float> output({ 2.5f });
 
     return MeanTestHelper<ArmnnType, T, 2, 1>(
-            workloadFactory, memoryManager, inputShape, input, {}, false, outputShape, output);
+            workloadFactory, memoryManager, tensorHandleFactory, inputShape, input, {}, false, outputShape, output);
 }
 
 template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 3> MeanSimpleAxisTest(
         armnn::IWorkloadFactory& workloadFactory,
-        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     const unsigned int inputShape[] = { 2, 3, 1, 2 };
     const unsigned int outputShape[] = { 3, 1, 2 };
@@ -101,13 +102,14 @@ LayerTestResult<T, 3> MeanSimpleAxisTest(
     std::vector<float> output({ 1.5f, 2.5f, 3.5f, 4.5f, 5.5f, 6.5f });
 
     return MeanTestHelper<ArmnnType, T, 4, 3>(
-            workloadFactory, memoryManager, inputShape, input, { 0 }, false, outputShape, output);
+            workloadFactory, memoryManager, tensorHandleFactory, inputShape, input, { 0 }, false, outputShape, output);
 }
 
 template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 4> MeanKeepDimsTest(
         armnn::IWorkloadFactory& workloadFactory,
-        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     const unsigned int inputShape[] = { 1, 1, 3, 2 };
     const unsigned int outputShape[] = { 1, 1, 1, 2 };
@@ -116,13 +118,14 @@ LayerTestResult<T, 4> MeanKeepDimsTest(
     std::vector<float> output({ 2.5f, 2.5f });
 
     return MeanTestHelper<ArmnnType, T, 4, 4>(
-            workloadFactory, memoryManager, inputShape, input, { 2 }, true, outputShape, output);
+            workloadFactory, memoryManager, tensorHandleFactory, inputShape, input, { 2 }, true, outputShape, output);
 }
 
 template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 4> MeanMultipleDimsTest(
         armnn::IWorkloadFactory& workloadFactory,
-        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     const unsigned int inputShape[] = { 2, 3, 1, 2 };
     const unsigned int outputShape[] = { 1, 3, 1, 1 };
@@ -131,13 +134,15 @@ LayerTestResult<T, 4> MeanMultipleDimsTest(
     std::vector<float> output({ 2.0f, 4.0f, 6.0f });
 
     return MeanTestHelper<ArmnnType, T, 4, 4>(
-            workloadFactory, memoryManager, inputShape, input, { 0, 3 }, true, outputShape, output);
+            workloadFactory, memoryManager, tensorHandleFactory,
+            inputShape, input, { 0, 3 }, true, outputShape, output);
 }
 
 template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 1> MeanVts1Test(
         armnn::IWorkloadFactory& workloadFactory,
-        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     const unsigned int inputShape[] = { 4, 3, 2 };
     const unsigned int outputShape[] = { 2 };
@@ -147,13 +152,15 @@ LayerTestResult<T, 1> MeanVts1Test(
     std::vector<float> output({ 12.0f, 13.0f });
 
     return MeanTestHelper<ArmnnType, T, 3, 1>(
-            workloadFactory, memoryManager, inputShape, input, { 0, 1 }, false, outputShape, output);
+            workloadFactory, memoryManager, tensorHandleFactory,
+            inputShape, input, { 0, 1 }, false, outputShape, output);
 }
 
 template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 3> MeanVts2Test(
         armnn::IWorkloadFactory& workloadFactory,
-        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     const unsigned int inputShape[] = { 4, 3, 2 };
     const unsigned int outputShape[] = { 1, 3, 1 };
@@ -163,13 +170,15 @@ LayerTestResult<T, 3> MeanVts2Test(
     std::vector<float> output({ 10.5f, 12.5f, 14.5f });
 
     return MeanTestHelper<ArmnnType, T, 3, 3>(
-            workloadFactory, memoryManager, inputShape, input, { 0, 2 }, true, outputShape, output);
+            workloadFactory, memoryManager, tensorHandleFactory,
+            inputShape, input, { 0, 2 }, true, outputShape, output);
 }
 
 template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 3> MeanVts3Test(
         armnn::IWorkloadFactory& workloadFactory,
-        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     const unsigned int inputShape[] = { 1, 2, 2, 1 };
     const unsigned int outputShape[] = { 1, 2, 1 };
@@ -178,5 +187,5 @@ LayerTestResult<T, 3> MeanVts3Test(
     std::vector<float> output({ 1.5f, 3.5f });
 
     return MeanTestHelper<ArmnnType, T, 4, 3>(
-            workloadFactory, memoryManager, inputShape, input, { 2 }, false, outputShape, output);
+            workloadFactory, memoryManager, tensorHandleFactory, inputShape, input, { 2 }, false, outputShape, output);
 }
diff --git a/src/backends/backendsCommon/test/layerTests/NormalizationTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/NormalizationTestImpl.cpp
index ce7ef37d13..b42b180dc9 100644
--- a/src/backends/backendsCommon/test/layerTests/NormalizationTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/NormalizationTestImpl.cpp
@@ -21,6 +21,7 @@ namespace
 LayerTestResult<float,4> SimpleNormalizationTestImpl(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     armnn::NormalizationAlgorithmChannel normChannel,
     armnn::NormalizationAlgorithmMethod normMethod)
 {
@@ -57,10 +58,8 @@ LayerTestResult<float,4> SimpleNormalizationTestImpl(
     float kappa = 1.f;
     uint32_t normSize = 3;
 
-    ARMNN_NO_DEPRECATE_WARN_BEGIN
-    std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo);
-    std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
-    ARMNN_NO_DEPRECATE_WARN_END
+    std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo);
+    std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo);
 
     armnn::NormalizationQueueDescriptor data;
     armnn::WorkloadInfo info;
@@ -167,6 +166,7 @@ LayerTestResult<float,4> SimpleNormalizationTestImpl(
 LayerTestResult<float,4> SimpleNormalizationNhwcTestImpl(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     armnn::NormalizationAlgorithmChannel normChannel,
     armnn::NormalizationAlgorithmMethod normMethod)
 {
@@ -202,10 +202,8 @@ LayerTestResult<float,4> SimpleNormalizationNhwcTestImpl(
     float kappa = 1.f;
     uint32_t normSize = 3;
 
-    ARMNN_NO_DEPRECATE_WARN_BEGIN
-    std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo);
-    std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
-    ARMNN_NO_DEPRECATE_WARN_END
+    std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo);
+    std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo);
 
     armnn::NormalizationQueueDescriptor data;
     armnn::WorkloadInfo info;
@@ -271,6 +269,8 @@ LayerTestResult<float,4> CompareNormalizationTestImpl(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
     armnn::IWorkloadFactory& refWorkloadFactory,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
+    const armnn::ITensorHandleFactory& refTensorHandleFactory,
     armnn::NormalizationAlgorithmChannel normChannel,
     armnn::NormalizationAlgorithmMethod normMethod)
 {
@@ -302,10 +302,8 @@ LayerTestResult<float,4> CompareNormalizationTestImpl(
     constexpr float kappa = 1.f;
     constexpr uint32_t normSize = 5;
 
-    ARMNN_NO_DEPRECATE_WARN_BEGIN
-    std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo);
-    std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
-    ARMNN_NO_DEPRECATE_WARN_END
+    std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo);
+    std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo);
 
     armnn::NormalizationQueueDescriptor data;
     armnn::WorkloadInfo info;
@@ -318,10 +316,8 @@ LayerTestResult<float,4> CompareNormalizationTestImpl(
     data.m_Parameters.m_Beta            = beta;
     data.m_Parameters.m_K               = kappa;
 
-    ARMNN_NO_DEPRECATE_WARN_BEGIN
-    std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refWorkloadFactory.CreateTensorHandle(outputTensorInfo);
-    std::unique_ptr<armnn::ITensorHandle> inputHandleRef = refWorkloadFactory.CreateTensorHandle(inputTensorInfo);
-    ARMNN_NO_DEPRECATE_WARN_END
+    std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refTensorHandleFactory.CreateTensorHandle(outputTensorInfo);
+    std::unique_ptr<armnn::ITensorHandle> inputHandleRef = refTensorHandleFactory.CreateTensorHandle(inputTensorInfo);
 
     armnn::NormalizationQueueDescriptor refData = data;
     armnn::WorkloadInfo refInfo = info;
@@ -365,37 +361,45 @@ LayerTestResult<float,4> CompareNormalizationTestImpl(
 
 LayerTestResult<float,4> SimpleNormalizationAcrossTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     auto normMethod = armnn::NormalizationAlgorithmMethod::LocalBrightness;
     auto normChannel = armnn::NormalizationAlgorithmChannel::Across;
-    return SimpleNormalizationTestImpl(workloadFactory, memoryManager, normChannel, normMethod);
+    return SimpleNormalizationTestImpl(workloadFactory, memoryManager,  tensorHandleFactory, normChannel, normMethod);
 }
 
 LayerTestResult<float,4> SimpleNormalizationWithinTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     auto normMethod = armnn::NormalizationAlgorithmMethod::LocalBrightness;
     auto normChannel = armnn::NormalizationAlgorithmChannel::Within;
-    return SimpleNormalizationTestImpl(workloadFactory, memoryManager, normChannel, normMethod);
+    return SimpleNormalizationTestImpl(workloadFactory, memoryManager,  tensorHandleFactory, normChannel, normMethod);
 }
 
 LayerTestResult<float,4> SimpleNormalizationAcrossNhwcTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     auto normMethod = armnn::NormalizationAlgorithmMethod::LocalBrightness;
     auto normChannel = armnn::NormalizationAlgorithmChannel::Across;
-    return SimpleNormalizationNhwcTestImpl(workloadFactory, memoryManager, normChannel, normMethod);
+    return SimpleNormalizationNhwcTestImpl(
+            workloadFactory, memoryManager,  tensorHandleFactory, normChannel, normMethod);
 }
 
 LayerTestResult<float,4> CompareNormalizationTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
     armnn::IWorkloadFactory& refWorkloadFactory,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
+    const armnn::ITensorHandleFactory& refTensorHandleFactory,
     armnn::NormalizationAlgorithmChannel normChannel,
     armnn::NormalizationAlgorithmMethod normMethod)
 {
-    return CompareNormalizationTestImpl(workloadFactory, memoryManager, refWorkloadFactory, normChannel, normMethod);
+    return CompareNormalizationTestImpl(
+            workloadFactory, memoryManager, refWorkloadFactory, tensorHandleFactory, refTensorHandleFactory,
+            normChannel, normMethod);
 }
diff --git a/src/backends/backendsCommon/test/layerTests/NormalizationTestImpl.hpp b/src/backends/backendsCommon/test/layerTests/NormalizationTestImpl.hpp
index 4da1ad2606..3a276e8c4c 100644
--- a/src/backends/backendsCommon/test/layerTests/NormalizationTestImpl.hpp
+++ b/src/backends/backendsCommon/test/layerTests/NormalizationTestImpl.hpp
@@ -14,19 +14,24 @@
 
 LayerTestResult<float, 4> SimpleNormalizationAcrossTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float, 4> SimpleNormalizationWithinTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float,4> SimpleNormalizationAcrossNhwcTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float, 4> CompareNormalizationTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
     armnn::IWorkloadFactory& refWorkloadFactory,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
+    const armnn::ITensorHandleFactory& refTensorHandleFactory,
     armnn::NormalizationAlgorithmChannel normChannel,
     armnn::NormalizationAlgorithmMethod normMethod);
diff --git a/src/backends/backendsCommon/test/layerTests/PadTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/PadTestImpl.cpp
index 35e6103f7f..5511f86e17 100644
--- a/src/backends/backendsCommon/test/layerTests/PadTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/PadTestImpl.cpp
@@ -20,6 +20,7 @@ template<armnn::DataType ArmnnType, typename T>
 LayerTestResult<T, 2> Pad2dTestCommon(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale,
     int32_t qOffset,
     const float customPaddingValue)
@@ -58,10 +59,9 @@ LayerTestResult<T, 2> Pad2dTestCommon(
     LayerTestResult<T, 2> result(outputTensorInfo);
     result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, std::vector<T>(expectedOutputValues));
 
-    ARMNN_NO_DEPRECATE_WARN_BEGIN
-    std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo);
-    std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
-    ARMNN_NO_DEPRECATE_WARN_END
+    std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo);
+    std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo);
+
 
     armnn::PadQueueDescriptor descriptor;
 
@@ -95,6 +95,7 @@ template<armnn::DataType ArmnnType, typename T>
 LayerTestResult<T, 3> Pad3dTestCommon(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale,
     int32_t qOffset)
 {
@@ -144,10 +145,9 @@ LayerTestResult<T, 3> Pad3dTestCommon(
     LayerTestResult<T, 3> result(outputTensorInfo);
     result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, std::vector<T>(expectedOutputValues));
 
-    ARMNN_NO_DEPRECATE_WARN_BEGIN
-    std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo);
-    std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
-    ARMNN_NO_DEPRECATE_WARN_END
+    std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo);
+    std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo);
+
 
     armnn::PadQueueDescriptor descriptor;
 
@@ -181,6 +181,7 @@ template<armnn::DataType ArmnnType, typename T>
 LayerTestResult<T, 4> Pad4dTestCommon(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale,
     int32_t qOffset)
 {
@@ -384,10 +385,8 @@ LayerTestResult<T, 4> Pad4dTestCommon(
     LayerTestResult<T, 4> result(outputTensorInfo);
     result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, std::vector<T>(expectedOutputValues));
 
-    ARMNN_NO_DEPRECATE_WARN_BEGIN
-    std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo);
-    std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
-    ARMNN_NO_DEPRECATE_WARN_END
+    std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo);
+    std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo);
 
     armnn::PadQueueDescriptor descriptor;
 
@@ -426,6 +425,7 @@ template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 2>
 Pad2dTestCommon<armnn::DataType::QSymmS16>(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale,
     int32_t qOffset,
     const float customPaddingValue);
@@ -434,6 +434,7 @@ template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 3>
 Pad3dTestCommon<armnn::DataType::QSymmS16>(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale,
     int32_t qOffset);
 
@@ -441,6 +442,7 @@ template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 4>
 Pad4dTestCommon<armnn::DataType::QSymmS16>(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale,
     int32_t qOffset);
 
@@ -450,112 +452,133 @@ Pad4dTestCommon<armnn::DataType::QSymmS16>(
 
 LayerTestResult<uint8_t, 2> PadUint82dTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Pad2dTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 1.0f, 0);
+    return Pad2dTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 1.0f, 0);
 }
 
 LayerTestResult<uint8_t, 2> PadUint82dCustomPaddingTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Pad2dTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 1.0f, 0, 1.0f);
+    return Pad2dTestCommon<armnn::DataType::QAsymmU8>(
+            workloadFactory, memoryManager, tensorHandleFactory, 1.0f, 0, 1.0f);
 }
 
 LayerTestResult<uint8_t, 3> PadUint83dTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Pad3dTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 1.0f, 0);
+    return Pad3dTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 1.0f, 0);
 }
 
 LayerTestResult<uint8_t, 4> PadUint84dTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Pad4dTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 1.0f, 0);
+    return Pad4dTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 1.0f, 0);
 }
 
 LayerTestResult<float, 2> PadFloat322dTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Pad2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0);
+    return Pad2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);
 }
 
 LayerTestResult<float, 2> PadFloat322dCustomPaddingTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Pad2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0, 1.0f);
+    return Pad2dTestCommon<armnn::DataType::Float32>(
+            workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0, 1.0f);
 }
 
 LayerTestResult<float, 3> PadFloat323dTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Pad3dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0);
+    return Pad3dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);
 }
 
 LayerTestResult<float, 4> PadFloat324dTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Pad4dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0);
+    return Pad4dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);
 }
 
 LayerTestResult<armnn::BFloat16, 2> PadBFloat162dTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Pad2dTestCommon<armnn::DataType::BFloat16>(workloadFactory, memoryManager, 0.0f, 0);
+    return Pad2dTestCommon<armnn::DataType::BFloat16>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);
 }
 
 LayerTestResult<armnn::BFloat16, 2> PadBFloat162dCustomPaddingTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Pad2dTestCommon<armnn::DataType::BFloat16>(workloadFactory, memoryManager, 0.0f, 0, 1.0f);
+    return Pad2dTestCommon<armnn::DataType::BFloat16>(
+            workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0, 1.0f);
 }
 
 LayerTestResult<armnn::BFloat16, 3> PadBFloat163dTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Pad3dTestCommon<armnn::DataType::BFloat16>(workloadFactory, memoryManager, 0.0f, 0);
+    return Pad3dTestCommon<armnn::DataType::BFloat16>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);
 }
 
 LayerTestResult<armnn::BFloat16, 4> PadBFloat164dTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Pad4dTestCommon<armnn::DataType::BFloat16>(workloadFactory, memoryManager, 0.0f, 0);
+    return Pad4dTestCommon<armnn::DataType::BFloat16>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);
 }
 
 LayerTestResult<int8_t, 2> PadInt82dTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Pad2dTestCommon<armnn::DataType::QSymmS8>(workloadFactory, memoryManager, 1.0f, 0);
+    return Pad2dTestCommon<armnn::DataType::QSymmS8>(
+            workloadFactory, memoryManager, tensorHandleFactory, 1.0f, 0);
 }
 
 LayerTestResult<int8_t, 2> PadInt82dCustomPaddingTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Pad2dTestCommon<armnn::DataType::QSymmS8>(workloadFactory, memoryManager, 1.0f, 0, 1.0f);
+    return Pad2dTestCommon<armnn::DataType::QSymmS8>(
+            workloadFactory, memoryManager, tensorHandleFactory, 1.0f, 0, 1.0f);
 }
 
 LayerTestResult<int8_t, 3> PadInt83dTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Pad3dTestCommon<armnn::DataType::QSymmS8>(workloadFactory, memoryManager, 1.0f, 0);
+    return Pad3dTestCommon<armnn::DataType::QSymmS8>(workloadFactory, memoryManager, tensorHandleFactory, 1.0f, 0);
 }
 
 LayerTestResult<int8_t, 4> PadInt84dTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Pad4dTestCommon<armnn::DataType::QSymmS8>(workloadFactory, memoryManager, 1.0f, 0);
+    return Pad4dTestCommon<armnn::DataType::QSymmS8>(workloadFactory, memoryManager, tensorHandleFactory, 1.0f, 0);
 }
diff --git a/src/backends/backendsCommon/test/layerTests/PadTestImpl.hpp b/src/backends/backendsCommon/test/layerTests/PadTestImpl.hpp
index 7b36455063..8d603862b7 100644
--- a/src/backends/backendsCommon/test/layerTests/PadTestImpl.hpp
+++ b/src/backends/backendsCommon/test/layerTests/PadTestImpl.hpp
@@ -18,6 +18,7 @@ template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 2> Pad2dTestCommon(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale,
     int32_t qOffset,
     const float customPaddingValue = 0.0f);
@@ -26,6 +27,7 @@ template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 3> Pad3dTestCommon(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale,
     int32_t qOffset);
 
@@ -33,69 +35,86 @@ template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 4> Pad4dTestCommon(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale,
     int32_t qOffset);
 
 LayerTestResult<uint8_t, 2> PadUint82dTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 2> PadUint82dCustomPaddingTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 3> PadUint83dTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> PadUint84dTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float, 2> PadFloat322dTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float, 2> PadFloat322dCustomPaddingTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float, 3> PadFloat323dTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float, 4> PadFloat324dTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<armnn::BFloat16, 2> PadBFloat162dTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<armnn::BFloat16, 2> PadBFloat162dCustomPaddingTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<armnn::BFloat16, 3> PadBFloat163dTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<armnn::BFloat16, 4> PadBFloat164dTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<int8_t, 2> PadInt82dTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<int8_t, 2> PadInt82dCustomPaddingTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<int8_t, 3> PadInt83dTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<int8_t, 4> PadInt84dTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
\ No newline at end of file
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
\ No newline at end of file
diff --git a/src/backends/backendsCommon/test/layerTests/PermuteTestImpl.hpp b/src/backends/backendsCommon/test/layerTests/PermuteTestImpl.hpp
index 0d66af93e6..74d29f0250 100644
--- a/src/backends/backendsCommon/test/layerTests/PermuteTestImpl.hpp
+++ b/src/backends/backendsCommon/test/layerTests/PermuteTestImpl.hpp
@@ -19,6 +19,7 @@ template<typename T>
 LayerTestResult<T, 4> SimplePermuteTestImpl(
         armnn::IWorkloadFactory& workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory,
         armnn::PermuteDescriptor descriptor,
         armnn::TensorInfo inputTensorInfo,
         armnn::TensorInfo outputTensorInfo,
@@ -31,10 +32,8 @@ LayerTestResult<T, 4> SimplePermuteTestImpl(
     LayerTestResult<T, 4> ret(outputTensorInfo);
     ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outputExpectedData);
 
-    ARMNN_NO_DEPRECATE_WARN_BEGIN
-    std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo);
-    std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
-    ARMNN_NO_DEPRECATE_WARN_END
+    std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo);
+    std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo);
 
     armnn::PermuteQueueDescriptor data;
     data.m_Parameters = descriptor;
@@ -59,7 +58,8 @@ LayerTestResult<T, 4> SimplePermuteTestImpl(
 template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 4> SimplePermuteTest(
         armnn::IWorkloadFactory& workloadFactory,
-        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     armnn::TensorInfo inputTensorInfo;
     armnn::TensorInfo outputTensorInfo;
@@ -100,7 +100,7 @@ LayerTestResult<T, 4> SimplePermuteTest(
     },
     qScale, qOffset);
 
-    return SimplePermuteTestImpl<T>(workloadFactory, memoryManager,
+    return SimplePermuteTestImpl<T>(workloadFactory, memoryManager, tensorHandleFactory,
                                     descriptor, inputTensorInfo,
                                     outputTensorInfo, input, outputExpected);
 }
@@ -108,7 +108,8 @@ LayerTestResult<T, 4> SimplePermuteTest(
 template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 4> PermuteValueSet1Test(
         armnn::IWorkloadFactory& workloadFactory,
-        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     armnn::TensorInfo inputTensorInfo;
     armnn::TensorInfo outputTensorInfo;
@@ -150,7 +151,7 @@ LayerTestResult<T, 4> PermuteValueSet1Test(
     },
     qScale, qOffset);
 
-    return SimplePermuteTestImpl<T>(workloadFactory, memoryManager,
+    return SimplePermuteTestImpl<T>(workloadFactory, memoryManager, tensorHandleFactory,
                                     descriptor, inputTensorInfo,
                                     outputTensorInfo, input, outputExpected);
 }
@@ -158,7 +159,8 @@ LayerTestResult<T, 4> PermuteValueSet1Test(
 template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 4> PermuteValueSet2Test(
         armnn::IWorkloadFactory& workloadFactory,
-        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     armnn::TensorInfo inputTensorInfo;
     armnn::TensorInfo outputTensorInfo;
@@ -200,7 +202,7 @@ LayerTestResult<T, 4> PermuteValueSet2Test(
     },
     qScale, qOffset);
 
-    return SimplePermuteTestImpl<T>(workloadFactory, memoryManager,
+    return SimplePermuteTestImpl<T>(workloadFactory, memoryManager, tensorHandleFactory,
                                     descriptor, inputTensorInfo,
                                     outputTensorInfo, input, outputExpected);
 }
@@ -208,7 +210,8 @@ LayerTestResult<T, 4> PermuteValueSet2Test(
 template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 4> PermuteValueSet3Test(
         armnn::IWorkloadFactory& workloadFactory,
-        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     armnn::TensorInfo inputTensorInfo;
     armnn::TensorInfo outputTensorInfo;
@@ -252,7 +255,7 @@ LayerTestResult<T, 4> PermuteValueSet3Test(
     },
     qScale, qOffset);
 
-    return SimplePermuteTestImpl<T>(workloadFactory, memoryManager,
+    return SimplePermuteTestImpl<T>(workloadFactory, memoryManager, tensorHandleFactory,
                                     descriptor, inputTensorInfo,
                                     outputTensorInfo, input, outputExpected);
 }
diff --git a/src/backends/backendsCommon/test/layerTests/Pooling2dTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/Pooling2dTestImpl.cpp
index 078e74403e..a4f87ff3ed 100644
--- a/src/backends/backendsCommon/test/layerTests/Pooling2dTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/Pooling2dTestImpl.cpp
@@ -34,6 +34,7 @@ template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 4> SimplePooling2dTestImpl(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     armnn::Pooling2dDescriptor descriptor,
     float qScale,
     int32_t qOffset,
@@ -74,10 +75,8 @@ LayerTestResult<T, 4> SimplePooling2dTestImpl(
 
     LayerTestResult<T, 4> result(outputTensorInfo);
 
-    ARMNN_NO_DEPRECATE_WARN_BEGIN
-    std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo);
-    std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
-    ARMNN_NO_DEPRECATE_WARN_END
+    std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo);
+    std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo);
 
     armnn::Pooling2dQueueDescriptor queueDescriptor;
     queueDescriptor.m_Parameters = descriptor;
@@ -128,6 +127,7 @@ template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 4> SimpleMaxPooling2dSize3x3Stride2x4TestCommon(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool forceNoPadding,
     float qScale = 1.0f,
     int32_t qOffset = 0)
@@ -246,13 +246,14 @@ LayerTestResult<T, 4> SimpleMaxPooling2dSize3x3Stride2x4TestCommon(
     }
 
     return SimplePooling2dTestImpl<ArmnnType>(
-        workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected);
+        workloadFactory, memoryManager, tensorHandleFactory, descriptor, qScale, qOffset, input, outputExpected);
 }
 
 template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 4> SimpleMaxPooling2dTestCommon(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const armnn::DataLayout dataLayout = armnn::DataLayout::NCHW,
     float qScale = 1.0f,
     int32_t qOffset = 0)
@@ -317,13 +318,14 @@ LayerTestResult<T, 4> SimpleMaxPooling2dTestCommon(
     auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, outputData);
 
     return SimplePooling2dTestImpl<ArmnnType>(
-        workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected);
+        workloadFactory, memoryManager, tensorHandleFactory, descriptor, qScale, qOffset, input, outputExpected);
 }
 
 template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 4> SimpleAveragePooling2dTestCommon(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     armnn::DataLayout dataLayout = armnn::DataLayout::NCHW,
     float qScale = 1.0f,
     int32_t qOffset = 0)
@@ -388,13 +390,14 @@ LayerTestResult<T, 4> SimpleAveragePooling2dTestCommon(
     auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, outputData);
 
     return SimplePooling2dTestImpl<ArmnnType>(
-        workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected);
+        workloadFactory, memoryManager, tensorHandleFactory, descriptor, qScale, qOffset, input, outputExpected);
 }
 
 template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 4> LargeTensorsAveragePooling2dTestCommon(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale = 1.0f,
     int32_t qOffset = 0)
 {
@@ -439,13 +442,14 @@ LayerTestResult<T, 4> LargeTensorsAveragePooling2dTestCommon(
     auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, outputVec);
 
     return SimplePooling2dTestImpl<ArmnnType>(
-        workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected);
+        workloadFactory, memoryManager, tensorHandleFactory, descriptor, qScale, qOffset, input, outputExpected);
 }
 
 template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 4> SimpleL2Pooling2dTestCommon(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     armnn::DataLayout dataLayout = armnn::DataLayout::NCHW,
     float qScale = 1.0f,
     int32_t qOffset = 0)
@@ -501,13 +505,14 @@ LayerTestResult<T, 4> SimpleL2Pooling2dTestCommon(
     auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, outputData);
 
     return SimplePooling2dTestImpl<ArmnnType>(
-        workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected);
+        workloadFactory, memoryManager, tensorHandleFactory, descriptor, qScale, qOffset, input, outputExpected);
 }
 
 template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 4> L2Pooling2dSize3Stride1TestCommon(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale = 1.0f,
     int32_t qOffset = 0)
 {
@@ -536,13 +541,14 @@ LayerTestResult<T, 4> L2Pooling2dSize3Stride1TestCommon(
         qScale, qOffset));
 
     return SimplePooling2dTestImpl<ArmnnType>(
-        workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected);
+        workloadFactory, memoryManager, tensorHandleFactory, descriptor, qScale, qOffset, input, outputExpected);
 }
 
 template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 4> L2Pooling2dSize3Stride3TestCommon(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale = 1.0f,
     int32_t qOffset = 0)
 {
@@ -577,13 +583,14 @@ LayerTestResult<T, 4> L2Pooling2dSize3Stride3TestCommon(
         qScale, qOffset));
 
     return SimplePooling2dTestImpl<ArmnnType>(
-        workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected);
+        workloadFactory, memoryManager, tensorHandleFactory, descriptor, qScale, qOffset, input, outputExpected);
 }
 
 template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 4> L2Pooling2dSize3Stride4TestCommon(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale = 1.0f,
     int32_t qOffset = 0)
 {
@@ -615,13 +622,14 @@ LayerTestResult<T, 4> L2Pooling2dSize3Stride4TestCommon(
         qScale, qOffset));
 
     return SimplePooling2dTestImpl<ArmnnType>(
-        workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected);
+        workloadFactory, memoryManager, tensorHandleFactory, descriptor, qScale, qOffset, input, outputExpected);
 }
 
 template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 4> L2Pooling2dSize7TestCommon(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale = 1.0f,
     int32_t qOffset = 0)
 {
@@ -652,13 +660,14 @@ LayerTestResult<T, 4> L2Pooling2dSize7TestCommon(
         qScale, qOffset));
 
     return SimplePooling2dTestImpl<ArmnnType>(
-        workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected);
+        workloadFactory, memoryManager, tensorHandleFactory, descriptor, qScale, qOffset, input, outputExpected);
 }
 
 template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 4> L2Pooling2dSize9TestCommon(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale = 1.0f,
     int32_t qOffset = 0)
 {
@@ -691,13 +700,14 @@ LayerTestResult<T, 4> L2Pooling2dSize9TestCommon(
         qScale, qOffset));
 
     return SimplePooling2dTestImpl<ArmnnType>(
-        workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected);
+        workloadFactory, memoryManager, tensorHandleFactory, descriptor, qScale, qOffset, input, outputExpected);
 }
 
 template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 4> AsymmetricNonSquarePooling2dTestCommon(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale = 1.0f,
     int32_t qOffset = 0)
 {
@@ -732,7 +742,7 @@ LayerTestResult<T, 4> AsymmetricNonSquarePooling2dTestCommon(
         qScale, qOffset));
 
     return SimplePooling2dTestImpl<ArmnnType>(
-        workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected);
+        workloadFactory, memoryManager, tensorHandleFactory, descriptor, qScale, qOffset, input, outputExpected);
 }
 
 template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
@@ -740,6 +750,8 @@ LayerTestResult<T, 4> ComparePooling2dTestCommon(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
     armnn::IWorkloadFactory& refWorkloadFactory,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
+    const armnn::ITensorHandleFactory& refTensorHandleFactory,
     armnn::PoolingAlgorithm poolingType,
     float qScale = 1.0f,
     int32_t qOffset = 0)
@@ -781,10 +793,8 @@ LayerTestResult<T, 4> ComparePooling2dTestCommon(
 
     LayerTestResult<T, 4> comparisonResult(outputTensorInfo);
 
-    ARMNN_NO_DEPRECATE_WARN_BEGIN
-    std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo);
-    std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
-    ARMNN_NO_DEPRECATE_WARN_END
+    std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo);
+    std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo);
 
     armnn::Pooling2dQueueDescriptor data;
     armnn::WorkloadInfo info;
@@ -801,10 +811,8 @@ LayerTestResult<T, 4> ComparePooling2dTestCommon(
     data.m_Parameters.m_PadBottom = padY;
     data.m_Parameters.m_OutputShapeRounding = armnn::OutputShapeRounding::Floor;
 
-    ARMNN_NO_DEPRECATE_WARN_BEGIN
-    std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refWorkloadFactory.CreateTensorHandle(outputTensorInfo);
-    std::unique_ptr<armnn::ITensorHandle> inputHandleRef = refWorkloadFactory.CreateTensorHandle(inputTensorInfo);
-    ARMNN_NO_DEPRECATE_WARN_END
+    std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refTensorHandleFactory.CreateTensorHandle(outputTensorInfo);
+    std::unique_ptr<armnn::ITensorHandle> inputHandleRef = refTensorHandleFactory.CreateTensorHandle(inputTensorInfo);
 
     // Don't execute if Pooling is not supported, as an exception will be raised.
     armnn::BackendId backend = workloadFactory.GetBackendId();
@@ -856,6 +864,7 @@ template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 4> SimpleMaxPooling2dSize2x2Stride2x2TestCommon(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool forceNoPadding,
     float qScale = 1.0f,
     int32_t qOffset = 0)
@@ -923,7 +932,7 @@ LayerTestResult<T, 4> SimpleMaxPooling2dSize2x2Stride2x2TestCommon(
                          QuantizedVector<T>(expectedOutputDataWithPadding, qScale, qOffset));
 
     return SimplePooling2dTestImpl<ArmnnType>(
-        workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected);
+        workloadFactory, memoryManager, tensorHandleFactory, descriptor, qScale, qOffset, input, outputExpected);
 }
 
 //
@@ -939,6 +948,7 @@ template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 4> IgnorePaddingAveragePooling2dSize3x2Stride2x2TestCommon(
         armnn::IWorkloadFactory& workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory,
         bool forceNoPadding,
         float qScale = 1.0f,
         int32_t qOffset = 0)
@@ -1001,7 +1011,7 @@ LayerTestResult<T, 4> IgnorePaddingAveragePooling2dSize3x2Stride2x2TestCommon(
                          QuantizedVector<T>(expectedOutputDataWithPadding, qScale, qOffset));
 
     return SimplePooling2dTestImpl<ArmnnType>(
-        workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected);
+        workloadFactory, memoryManager, tensorHandleFactory, descriptor, qScale, qOffset, input, outputExpected);
 }
 
 
@@ -1009,6 +1019,7 @@ template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 4> IgnorePaddingSimpleMaxPooling2dTestCommon(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale = 1.0f,
     int32_t qOffset = 0)
 {
@@ -1052,13 +1063,14 @@ LayerTestResult<T, 4> IgnorePaddingSimpleMaxPooling2dTestCommon(
         qScale, qOffset));
 
     return SimplePooling2dTestImpl<ArmnnType>(
-        workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected);
+        workloadFactory, memoryManager, tensorHandleFactory, descriptor, qScale, qOffset, input, outputExpected);
 }
 
 template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 4> IgnorePaddingMaxPooling2dSize3TestCommon(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale = 1.0f,
     int32_t qOffset = 0)
 {
@@ -1103,13 +1115,14 @@ LayerTestResult<T, 4> IgnorePaddingMaxPooling2dSize3TestCommon(
         qScale, qOffset));
 
     return SimplePooling2dTestImpl<ArmnnType>(
-        workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected);
+        workloadFactory, memoryManager, tensorHandleFactory, descriptor, qScale, qOffset, input, outputExpected);
 }
 
 template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 4> IgnorePaddingSimpleAveragePooling2dTestCommon(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale = 1.0f,
     int32_t qOffset = 0)
 {
@@ -1153,13 +1166,14 @@ LayerTestResult<T, 4> IgnorePaddingSimpleAveragePooling2dTestCommon(
         qScale, qOffset));
 
     return SimplePooling2dTestImpl<ArmnnType>(
-        workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected);
+        workloadFactory, memoryManager, tensorHandleFactory, descriptor, qScale, qOffset, input, outputExpected);
 }
 
 template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 4> IgnorePaddingSimpleAveragePooling2dNoPaddingTestCommon(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale = 1.0f,
     int32_t qOffset = 0)
 {
@@ -1203,13 +1217,14 @@ LayerTestResult<T, 4> IgnorePaddingSimpleAveragePooling2dNoPaddingTestCommon(
         qScale, qOffset));
 
     return SimplePooling2dTestImpl<ArmnnType>(
-        workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected);
+        workloadFactory, memoryManager, tensorHandleFactory, descriptor, qScale, qOffset, input, outputExpected);
 }
 
 template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 4> IgnorePaddingAveragePooling2dSize3TestCommon(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale = 1.0f,
     int32_t qOffset = 0)
 {
@@ -1254,13 +1269,14 @@ LayerTestResult<T, 4> IgnorePaddingAveragePooling2dSize3TestCommon(
         qScale, qOffset));
 
     return SimplePooling2dTestImpl<ArmnnType>(
-        workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected);
+        workloadFactory, memoryManager, tensorHandleFactory, descriptor, qScale, qOffset, input, outputExpected);
 }
 
 template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 4> IgnorePaddingSimpleL2Pooling2dTestCommon(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale = 1.0f,
     int32_t qOffset = 0)
 {
@@ -1304,13 +1320,14 @@ LayerTestResult<T, 4> IgnorePaddingSimpleL2Pooling2dTestCommon(
         qScale, qOffset));
 
     return SimplePooling2dTestImpl<ArmnnType>(
-        workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected);
+        workloadFactory, memoryManager, tensorHandleFactory, descriptor, qScale, qOffset, input, outputExpected);
 }
 
 template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 4> IgnorePaddingL2Pooling2dSize3TestCommon(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale = 1.0f,
     int32_t qOffset = 0)
 {
@@ -1355,7 +1372,7 @@ LayerTestResult<T, 4> IgnorePaddingL2Pooling2dSize3TestCommon(
         qScale, qOffset));
 
     return SimplePooling2dTestImpl<ArmnnType>(
-        workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected);
+        workloadFactory, memoryManager, tensorHandleFactory, descriptor, qScale, qOffset, input, outputExpected);
 }
 
 } // anonymous namespace
@@ -1363,469 +1380,570 @@ LayerTestResult<T, 4> IgnorePaddingL2Pooling2dSize3TestCommon(
 LayerTestResult<float, 4> SimpleMaxPooling2dSize2x2Stride2x2Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool forceNoPadding)
 {
     return SimpleMaxPooling2dSize2x2Stride2x2TestCommon<armnn::DataType::Float32>(
-        workloadFactory, memoryManager, forceNoPadding);
+        workloadFactory, memoryManager, tensorHandleFactory, forceNoPadding);
 }
 
 LayerTestResult<uint8_t, 4> SimpleMaxPooling2dSize2x2Stride2x2Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool forceNoPadding)
 {
     return SimpleMaxPooling2dSize2x2Stride2x2TestCommon<armnn::DataType::QAsymmU8>(
-        workloadFactory, memoryManager, forceNoPadding, 3.0f, -5);
+        workloadFactory, memoryManager, tensorHandleFactory, forceNoPadding, 3.0f, -5);
 }
 
 LayerTestResult<int16_t, 4> SimpleMaxPooling2dSize2x2Stride2x2Int16Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool forceNoPadding)
 {
     return SimpleMaxPooling2dSize2x2Stride2x2TestCommon<armnn::DataType::QSymmS16>(
-            workloadFactory, memoryManager, forceNoPadding);
+            workloadFactory, memoryManager, tensorHandleFactory, forceNoPadding);
 }
 
 LayerTestResult<float, 4> SimpleMaxPooling2dSize3x3Stride2x4Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool forceNoPadding)
 {
     return SimpleMaxPooling2dSize3x3Stride2x4TestCommon<armnn::DataType::Float32>(
-        workloadFactory, memoryManager, forceNoPadding);
+        workloadFactory, memoryManager, tensorHandleFactory, forceNoPadding);
 }
 
 LayerTestResult<uint8_t, 4> SimpleMaxPooling2dSize3x3Stride2x4Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool forceNoPadding)
 {
     return SimpleMaxPooling2dSize3x3Stride2x4TestCommon<armnn::DataType::QAsymmU8>(
-        workloadFactory, memoryManager, forceNoPadding, 0.1f, 128);
+        workloadFactory, memoryManager, tensorHandleFactory, forceNoPadding, 0.1f, 128);
 }
 
 LayerTestResult<int16_t, 4> SimpleMaxPooling2dSize3x3Stride2x4Int16Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool forceNoPadding)
 {
     return SimpleMaxPooling2dSize3x3Stride2x4TestCommon<armnn::DataType::QSymmS16>(
-            workloadFactory, memoryManager, forceNoPadding);
+            workloadFactory, memoryManager, tensorHandleFactory, forceNoPadding);
 }
 
 LayerTestResult<float, 4> SimpleMaxPooling2dTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const armnn::DataLayout dataLayout)
 {
-    return SimpleMaxPooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, dataLayout);
+    return SimpleMaxPooling2dTestCommon<armnn::DataType::Float32>(
+            workloadFactory, memoryManager, tensorHandleFactory, dataLayout);
 }
 
 LayerTestResult<uint8_t, 4> SimpleMaxPooling2dUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const armnn::DataLayout dataLayout)
 {
-    return SimpleMaxPooling2dTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, dataLayout);
+    return SimpleMaxPooling2dTestCommon<armnn::DataType::QAsymmU8>(
+            workloadFactory, memoryManager, tensorHandleFactory, dataLayout);
 }
 
 LayerTestResult<int16_t, 4> SimpleMaxPooling2dInt16Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const armnn::DataLayout dataLayout)
 {
-    return SimpleMaxPooling2dTestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, dataLayout);
+    return SimpleMaxPooling2dTestCommon<armnn::DataType::QSymmS16>(
+            workloadFactory, memoryManager, tensorHandleFactory, dataLayout);
 }
 LayerTestResult<float, 4> IgnorePaddingSimpleMaxPooling2dTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return IgnorePaddingSimpleMaxPooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager);
+    return IgnorePaddingSimpleMaxPooling2dTestCommon<armnn::DataType::Float32>(
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 
 LayerTestResult<uint8_t, 4> IgnorePaddingSimpleMaxPooling2dUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return IgnorePaddingSimpleMaxPooling2dTestCommon<armnn::DataType::QAsymmU8>(
-            workloadFactory, memoryManager, 1.0f, -5);
+            workloadFactory, memoryManager, tensorHandleFactory, 1.0f, -5);
 }
 
 LayerTestResult<int16_t, 4> IgnorePaddingSimpleMaxPooling2dInt16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return IgnorePaddingSimpleMaxPooling2dTestCommon<armnn::DataType::QSymmS16>(
-            workloadFactory, memoryManager);
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 
 LayerTestResult<float, 4> IgnorePaddingMaxPooling2dSize3Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return IgnorePaddingMaxPooling2dSize3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager);
+    return IgnorePaddingMaxPooling2dSize3TestCommon<armnn::DataType::Float32>(
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 
 LayerTestResult<uint8_t, 4> IgnorePaddingMaxPooling2dSize3Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return IgnorePaddingMaxPooling2dSize3TestCommon<armnn::DataType::QAsymmU8>(
-            workloadFactory, memoryManager, 1.0f, -5);
+            workloadFactory, memoryManager, tensorHandleFactory, 1.0f, -5);
 }
 
 LayerTestResult<int16_t, 4> IgnorePaddingMaxPooling2dSize3Int16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return IgnorePaddingMaxPooling2dSize3TestCommon<armnn::DataType::QSymmS16>(
-            workloadFactory, memoryManager);
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 
 LayerTestResult<float, 4> SimpleAveragePooling2dTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const armnn::DataLayout dataLayout)
 {
-    return SimpleAveragePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, dataLayout);
+    return SimpleAveragePooling2dTestCommon<armnn::DataType::Float32>(
+            workloadFactory, memoryManager, tensorHandleFactory, dataLayout);
 }
 
 LayerTestResult<uint8_t, 4> SimpleAveragePooling2dUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const armnn::DataLayout dataLayout)
 {
     return SimpleAveragePooling2dTestCommon<armnn::DataType::QAsymmU8>(
-        workloadFactory, memoryManager, dataLayout, 0.5, -1);
+        workloadFactory, memoryManager, tensorHandleFactory, dataLayout, 0.5, -1);
 }
 
 LayerTestResult<int16_t, 4> SimpleAveragePooling2dInt16Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const armnn::DataLayout dataLayout)
 {
     return SimpleAveragePooling2dTestCommon<armnn::DataType::QSymmS16>(
-            workloadFactory, memoryManager, dataLayout);
+            workloadFactory, memoryManager, tensorHandleFactory, dataLayout);
 }
 
 LayerTestResult<float, 4> IgnorePaddingAveragePooling2dSize3x2Stride2x2Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool forceNoPadding)
 {
     return IgnorePaddingAveragePooling2dSize3x2Stride2x2TestCommon<armnn::DataType::Float32>(
-        workloadFactory, memoryManager, forceNoPadding);
+        workloadFactory, memoryManager, tensorHandleFactory, forceNoPadding);
 }
 
 LayerTestResult<float, 4> LargeTensorsAveragePooling2dTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return LargeTensorsAveragePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager);
+    return LargeTensorsAveragePooling2dTestCommon<armnn::DataType::Float32>(
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 
 LayerTestResult<uint8_t, 4> LargeTensorsAveragePooling2dUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return LargeTensorsAveragePooling2dTestCommon<armnn::DataType::QAsymmU8>(
-        workloadFactory, memoryManager, 0.5, -1);
+        workloadFactory, memoryManager, tensorHandleFactory, 0.5, -1);
 }
 
 LayerTestResult<int16_t, 4> LargeTensorsAveragePooling2dInt16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return LargeTensorsAveragePooling2dTestCommon<armnn::DataType::QSymmS16>(
-            workloadFactory, memoryManager);
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 LayerTestResult<float, 4> IgnorePaddingSimpleAveragePooling2dTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return IgnorePaddingSimpleAveragePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager);
+    return IgnorePaddingSimpleAveragePooling2dTestCommon<armnn::DataType::Float32>(
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 
 LayerTestResult<uint8_t, 4> IgnorePaddingSimpleAveragePooling2dUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return IgnorePaddingSimpleAveragePooling2dTestCommon<armnn::DataType::QAsymmU8>(
-            workloadFactory, memoryManager);
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 
 LayerTestResult<int16_t, 4> IgnorePaddingSimpleAveragePooling2dInt16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return IgnorePaddingSimpleAveragePooling2dTestCommon<armnn::DataType::QSymmS16>(
-            workloadFactory, memoryManager);
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 
 LayerTestResult<float, 4> IgnorePaddingSimpleAveragePooling2dNoPaddingTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return IgnorePaddingSimpleAveragePooling2dNoPaddingTestCommon<armnn::DataType::Float32>(
-            workloadFactory, memoryManager);
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 
 LayerTestResult<uint8_t, 4> IgnorePaddingSimpleAveragePooling2dNoPaddingUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return IgnorePaddingSimpleAveragePooling2dNoPaddingTestCommon<armnn::DataType::QAsymmU8>(
-            workloadFactory, memoryManager);
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 
 LayerTestResult<int16_t, 4> IgnorePaddingSimpleAveragePooling2dNoPaddingInt16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return IgnorePaddingSimpleAveragePooling2dNoPaddingTestCommon<armnn::DataType::QSymmS16>(
-            workloadFactory, memoryManager);
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 
 LayerTestResult<float, 4> IgnorePaddingAveragePooling2dSize3Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return IgnorePaddingAveragePooling2dSize3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager);
+    return IgnorePaddingAveragePooling2dSize3TestCommon<armnn::DataType::Float32>(
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 
 LayerTestResult<uint8_t, 4> IgnorePaddingAveragePooling2dSize3Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return IgnorePaddingAveragePooling2dSize3TestCommon<armnn::DataType::QAsymmU8>(
-            workloadFactory, memoryManager);
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 
 LayerTestResult<int16_t, 4> IgnorePaddingAveragePooling2dSize3Int16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return IgnorePaddingAveragePooling2dSize3TestCommon<armnn::DataType::QSymmS16>(
-            workloadFactory, memoryManager);
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 
 LayerTestResult<float, 4> SimpleL2Pooling2dTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const armnn::DataLayout dataLayout)
 {
-    return SimpleL2Pooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, dataLayout);
+    return SimpleL2Pooling2dTestCommon<armnn::DataType::Float32>(
+            workloadFactory, memoryManager, tensorHandleFactory, dataLayout);
 }
 
 LayerTestResult<uint8_t, 4> SimpleL2Pooling2dUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const armnn::DataLayout dataLayout)
 {
-    return SimpleL2Pooling2dTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, dataLayout);
+    return SimpleL2Pooling2dTestCommon<armnn::DataType::QAsymmU8>(
+            workloadFactory, memoryManager, tensorHandleFactory, dataLayout);
 }
 
 LayerTestResult<int16_t, 4> SimpleL2Pooling2dInt16Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const armnn::DataLayout dataLayout)
 {
-    return SimpleL2Pooling2dTestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, dataLayout);
+    return SimpleL2Pooling2dTestCommon<armnn::DataType::QSymmS16>(
+            workloadFactory, memoryManager, tensorHandleFactory, dataLayout);
 }
 
 LayerTestResult<float, 4> L2Pooling2dSize3Stride1Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return L2Pooling2dSize3Stride1TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager);
+    return L2Pooling2dSize3Stride1TestCommon<armnn::DataType::Float32>(
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 
 LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride1Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return L2Pooling2dSize3Stride1TestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager);
+    return L2Pooling2dSize3Stride1TestCommon<armnn::DataType::QAsymmU8>(
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 
 LayerTestResult<int16_t, 4> L2Pooling2dSize3Stride1Int16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return L2Pooling2dSize3Stride1TestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager);
+    return L2Pooling2dSize3Stride1TestCommon<armnn::DataType::QSymmS16>(
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 
 LayerTestResult<float, 4> L2Pooling2dSize3Stride3Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return L2Pooling2dSize3Stride3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager);
+    return L2Pooling2dSize3Stride3TestCommon<armnn::DataType::Float32>(
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 
 LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride3Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return L2Pooling2dSize3Stride3TestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager);
+    return L2Pooling2dSize3Stride3TestCommon<armnn::DataType::QAsymmU8>(
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 
 LayerTestResult<int16_t, 4> L2Pooling2dSize3Stride3Int16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return L2Pooling2dSize3Stride3TestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager);
+    return L2Pooling2dSize3Stride3TestCommon<armnn::DataType::QSymmS16>(
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 LayerTestResult<float, 4> L2Pooling2dSize3Stride4Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return L2Pooling2dSize3Stride4TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager);
+    return L2Pooling2dSize3Stride4TestCommon<armnn::DataType::Float32>(
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 
 LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride4Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return L2Pooling2dSize3Stride4TestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager);
+    return L2Pooling2dSize3Stride4TestCommon<armnn::DataType::QAsymmU8>(
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 
 LayerTestResult<int16_t, 4> L2Pooling2dSize3Stride4Int16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return L2Pooling2dSize3Stride4TestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager);
+    return L2Pooling2dSize3Stride4TestCommon<armnn::DataType::QSymmS16>(
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 
 LayerTestResult<float, 4> L2Pooling2dSize7Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return L2Pooling2dSize7TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager);
+    return L2Pooling2dSize7TestCommon<armnn::DataType::Float32>(
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 
 LayerTestResult<uint8_t, 4> L2Pooling2dSize7Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return L2Pooling2dSize7TestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager);
+    return L2Pooling2dSize7TestCommon<armnn::DataType::QAsymmU8>(
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 
 LayerTestResult<int16_t, 4> L2Pooling2dSize7Int16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return L2Pooling2dSize7TestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager);
+    return L2Pooling2dSize7TestCommon<armnn::DataType::QSymmS16>(
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 
 LayerTestResult<float, 4> L2Pooling2dSize9Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return L2Pooling2dSize9TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager);
+    return L2Pooling2dSize9TestCommon<armnn::DataType::Float32>(
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 
 LayerTestResult<uint8_t, 4> L2Pooling2dSize9Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return L2Pooling2dSize9TestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager);
+    return L2Pooling2dSize9TestCommon<armnn::DataType::QAsymmU8>(
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 
 LayerTestResult<int16_t, 4> L2Pooling2dSize9Int16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return L2Pooling2dSize9TestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager);
+    return L2Pooling2dSize9TestCommon<armnn::DataType::QSymmS16>(
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 LayerTestResult<float, 4> IgnorePaddingSimpleL2Pooling2dTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return IgnorePaddingSimpleL2Pooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager);
+    return IgnorePaddingSimpleL2Pooling2dTestCommon<armnn::DataType::Float32>(
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 
 LayerTestResult<uint8_t, 4> IgnorePaddingSimpleL2Pooling2dUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return IgnorePaddingSimpleL2Pooling2dTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager);
+    return IgnorePaddingSimpleL2Pooling2dTestCommon<armnn::DataType::QAsymmU8>(
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 
 LayerTestResult<int16_t, 4> IgnorePaddingSimpleL2Pooling2dInt16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return IgnorePaddingSimpleL2Pooling2dTestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager);
+    return IgnorePaddingSimpleL2Pooling2dTestCommon<armnn::DataType::QSymmS16>(
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 
 LayerTestResult<float, 4> IgnorePaddingL2Pooling2dSize3Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return IgnorePaddingL2Pooling2dSize3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager);
+    return IgnorePaddingL2Pooling2dSize3TestCommon<armnn::DataType::Float32>(
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 
 LayerTestResult<uint8_t, 4> IgnorePaddingL2Pooling2dSize3Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return IgnorePaddingL2Pooling2dSize3TestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager);
+    return IgnorePaddingL2Pooling2dSize3TestCommon<armnn::DataType::QAsymmU8>(
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 
 LayerTestResult<int16_t, 4> IgnorePaddingL2Pooling2dSize3Int16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return IgnorePaddingL2Pooling2dSize3TestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager);
+    return IgnorePaddingL2Pooling2dSize3TestCommon<armnn::DataType::QSymmS16>(
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 
 LayerTestResult<float, 4> AsymmetricNonSquarePooling2dTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return AsymmetricNonSquarePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager);
+    return AsymmetricNonSquarePooling2dTestCommon<armnn::DataType::Float32>(
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 
 LayerTestResult<uint8_t, 4> AsymmetricNonSquarePooling2dUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return AsymmetricNonSquarePooling2dTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager);
+    return AsymmetricNonSquarePooling2dTestCommon<armnn::DataType::QAsymmU8>(
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 
 LayerTestResult<int16_t, 4> AsymmetricNonSquarePooling2dInt16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return AsymmetricNonSquarePooling2dTestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager);
+    return AsymmetricNonSquarePooling2dTestCommon<armnn::DataType::QSymmS16>(
+            workloadFactory, memoryManager, tensorHandleFactory);
 }
 
 LayerTestResult<float, 4> ComparePooling2dTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
     armnn::IWorkloadFactory& refWorkloadFactory,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
+    const armnn::ITensorHandleFactory& refTensorHandleFactory,
     armnn::PoolingAlgorithm  poolingType)
 {
     return ComparePooling2dTestCommon<armnn::DataType::Float32>(
-        workloadFactory, memoryManager, refWorkloadFactory, poolingType);
+        workloadFactory, memoryManager,  refWorkloadFactory, tensorHandleFactory, refTensorHandleFactory, poolingType);
 }
 
 LayerTestResult<uint8_t, 4> ComparePooling2dUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
     armnn::IWorkloadFactory& refWorkloadFactory,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
+    const armnn::ITensorHandleFactory& refTensorHandleFactory,
     armnn::PoolingAlgorithm  poolingType)
 {
     return ComparePooling2dTestCommon<armnn::DataType::QAsymmU8>(
-        workloadFactory, memoryManager, refWorkloadFactory, poolingType, 0.1f, 128);
+        workloadFactory, memoryManager,  refWorkloadFactory, tensorHandleFactory, refTensorHandleFactory,
+        poolingType, 0.1f, 128);
 }
 
 LayerTestResult<int16_t, 4> ComparePooling2dInt16Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
     armnn::IWorkloadFactory& refWorkloadFactory,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
+    const armnn::ITensorHandleFactory& refTensorHandleFactory,
     armnn::PoolingAlgorithm  poolingType)
 {
     return ComparePooling2dTestCommon<armnn::DataType::QSymmS16>(
-            workloadFactory, memoryManager, refWorkloadFactory, poolingType);
+        workloadFactory, memoryManager,  refWorkloadFactory, tensorHandleFactory, refTensorHandleFactory, poolingType);
 }
diff --git a/src/backends/backendsCommon/test/layerTests/Pooling2dTestImpl.hpp b/src/backends/backendsCommon/test/layerTests/Pooling2dTestImpl.hpp
index 2f0cde219a..bf2c39e9a3 100644
--- a/src/backends/backendsCommon/test/layerTests/Pooling2dTestImpl.hpp
+++ b/src/backends/backendsCommon/test/layerTests/Pooling2dTestImpl.hpp
@@ -15,265 +15,329 @@
 LayerTestResult<float,   4> SimpleMaxPooling2dSize2x2Stride2x2Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool forceNoPadding);
 
 LayerTestResult<uint8_t, 4> SimpleMaxPooling2dSize2x2Stride2x2Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool forceNoPadding);
 
 LayerTestResult<int16_t, 4> SimpleMaxPooling2dSize2x2Stride2x2Int16Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool forceNoPadding);
 
 LayerTestResult<float,   4> SimpleMaxPooling2dSize3x3Stride2x4Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool forceNoPadding);
 
 LayerTestResult<uint8_t, 4> SimpleMaxPooling2dSize3x3Stride2x4Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
-    bool forceNoPadding );
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
+    bool forceNoPadding);
 
 LayerTestResult<int16_t, 4> SimpleMaxPooling2dSize3x3Stride2x4Int16Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
-    bool forceNoPadding );
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
+    bool forceNoPadding);
 
 LayerTestResult<float,   4> SimpleMaxPooling2dTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const armnn::DataLayout dataLayout);
 
 LayerTestResult<uint8_t, 4> SimpleMaxPooling2dUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const armnn::DataLayout dataLayout);
 
 LayerTestResult<int16_t, 4> SimpleMaxPooling2dInt16Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const armnn::DataLayout dataLayout);
 
 LayerTestResult<float,   4> IgnorePaddingSimpleMaxPooling2dTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> IgnorePaddingSimpleMaxPooling2dUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<int16_t, 4> IgnorePaddingSimpleMaxPooling2dInt16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float,   4> IgnorePaddingMaxPooling2dSize3Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> IgnorePaddingMaxPooling2dSize3Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<int16_t, 4> IgnorePaddingMaxPooling2dSize3Int16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float,   4> SimpleAveragePooling2dTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const armnn::DataLayout dataLayout);
 
 LayerTestResult<uint8_t, 4> SimpleAveragePooling2dUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const armnn::DataLayout dataLayout);
 
 LayerTestResult<int16_t, 4> SimpleAveragePooling2dInt16Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const armnn::DataLayout dataLayout);
 
 LayerTestResult<float,   4> LargeTensorsAveragePooling2dTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> LargeTensorsAveragePooling2dUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<int16_t, 4> LargeTensorsAveragePooling2dInt16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float,   4> IgnorePaddingAveragePooling2dSize3x2Stride2x2Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
-    bool forceNoPadding);
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
+    bool forceNoPadding );
 
 LayerTestResult<float,   4> IgnorePaddingSimpleAveragePooling2dTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> IgnorePaddingSimpleAveragePooling2dUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<int16_t, 4> IgnorePaddingSimpleAveragePooling2dInt16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float, 4>   IgnorePaddingSimpleAveragePooling2dNoPaddingTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> IgnorePaddingSimpleAveragePooling2dNoPaddingUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<int16_t, 4> IgnorePaddingSimpleAveragePooling2dNoPaddingInt16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float,   4> IgnorePaddingAveragePooling2dSize3Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> IgnorePaddingAveragePooling2dSize3Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<int16_t, 4> IgnorePaddingAveragePooling2dSize3Int16Test(
         armnn::IWorkloadFactory& workloadFactory,
-        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float,   4> SimpleL2Pooling2dTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const armnn::DataLayout dataLayout);
 
 LayerTestResult<uint8_t, 4> SimpleL2Pooling2dUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const armnn::DataLayout dataLayout);
 
 LayerTestResult<int16_t, 4> SimpleL2Pooling2dInt16Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const armnn::DataLayout dataLayout);
 
 LayerTestResult<float,   4> L2Pooling2dSize3Stride1Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride1Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<int16_t, 4> L2Pooling2dSize3Stride1Int16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float,   4> L2Pooling2dSize3Stride3Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride3Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<int16_t, 4> L2Pooling2dSize3Stride3Int16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float,   4> L2Pooling2dSize3Stride4Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride4Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<int16_t, 4> L2Pooling2dSize3Stride4Int16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float,   4> L2Pooling2dSize7Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> L2Pooling2dSize7Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<int16_t, 4> L2Pooling2dSize7Int16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float,   4> L2Pooling2dSize9Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> L2Pooling2dSize9Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<int16_t, 4> L2Pooling2dSize9Int16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float,   4> IgnorePaddingSimpleL2Pooling2dTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> IgnorePaddingSimpleL2Pooling2dUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<int16_t, 4> IgnorePaddingSimpleL2Pooling2dInt16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float,   4> IgnorePaddingL2Pooling2dSize3Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> IgnorePaddingL2Pooling2dSize3Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<int16_t, 4> IgnorePaddingL2Pooling2dSize3Int16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float,   4> AsymmetricNonSquarePooling2dTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> AsymmetricNonSquarePooling2dUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<int16_t, 4> AsymmetricNonSquarePooling2dInt16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float, 4> ComparePooling2dTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
     armnn::IWorkloadFactory& refWorkloadFactory,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
+    const armnn::ITensorHandleFactory& refTensorHandleFactory,
     armnn::PoolingAlgorithm  poolingType);
 
 LayerTestResult<uint8_t, 4> ComparePooling2dUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
     armnn::IWorkloadFactory& refWorkloadFactory,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
+    const armnn::ITensorHandleFactory& refTensorHandleFactory,
     armnn::PoolingAlgorithm  poolingType);
 
 LayerTestResult<int16_t, 4> ComparePooling2dInt16Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
     armnn::IWorkloadFactory& refWorkloadFactory,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
+    const armnn::ITensorHandleFactory& refTensorHandleFactory,
     armnn::PoolingAlgorithm  poolingType);
diff --git a/src/backends/backendsCommon/test/layerTests/PreluTestImpl.hpp b/src/backends/backendsCommon/test/layerTests/PreluTestImpl.hpp
index de0b27b6c1..a5c53d0e58 100644
--- a/src/backends/backendsCommon/test/layerTests/PreluTestImpl.hpp
+++ b/src/backends/backendsCommon/test/layerTests/PreluTestImpl.hpp
@@ -20,10 +20,11 @@
 
 #include <test/TensorHelpers.hpp>
 
-template<typename FactoryType, armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 4> PreluTest(
         armnn::IWorkloadFactory& workloadFactory,
-        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     IgnoreUnused(memoryManager);
 
@@ -77,7 +78,6 @@ LayerTestResult<T, 4> PreluTest(
                                                         outputTensorInfo.GetQuantizationScale(),
                                                         outputTensorInfo.GetQuantizationOffset()));
 
-    auto tensorHandleFactory = WorkloadFactoryHelper<FactoryType>::GetTensorHandleFactory(memoryManager);
     std::unique_ptr <armnn::ITensorHandle> inputHandle  = tensorHandleFactory.CreateTensorHandle(inputTensorInfo);
     std::unique_ptr <armnn::ITensorHandle> alphaHandle  = tensorHandleFactory.CreateTensorHandle(alphaTensorInfo);
     std::unique_ptr <armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo);
diff --git a/src/backends/cl/test/ClLayerTests.cpp b/src/backends/cl/test/ClLayerTests.cpp
index ec8f71eff8..66a3191522 100644
--- a/src/backends/cl/test/ClLayerTests.cpp
+++ b/src/backends/cl/test/ClLayerTests.cpp
@@ -238,65 +238,67 @@ ARMNN_AUTO_TEST_CASE_WITH_THF(ConcatUint8DifferentInputOutputQParam,
                      ConcatDifferentInputOutputQParamTest<DataType::QAsymmU8>, false)
 
 // Normalization
-ARMNN_AUTO_TEST_CASE(SimpleNormalizationAcross, SimpleNormalizationAcrossTest)
-ARMNN_AUTO_TEST_CASE(SimpleNormalizationWithin, SimpleNormalizationWithinTest)
-ARMNN_AUTO_TEST_CASE(SimpleNormalizationAcrossNhwc, SimpleNormalizationAcrossNhwcTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleNormalizationAcross, SimpleNormalizationAcrossTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleNormalizationWithin, SimpleNormalizationWithinTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleNormalizationAcrossNhwc, SimpleNormalizationAcrossNhwcTest)
 
 // Pooling
-ARMNN_AUTO_TEST_CASE(SimpleMaxPooling2dSize3x3Stride2x4, SimpleMaxPooling2dSize3x3Stride2x4Test, true)
-ARMNN_AUTO_TEST_CASE(SimpleMaxPooling2dSize3x3Stride2x4Uint8, SimpleMaxPooling2dSize3x3Stride2x4Uint8Test, true)
-
-ARMNN_AUTO_TEST_CASE(IgnorePaddingSimpleMaxPooling2d, IgnorePaddingSimpleMaxPooling2dTest)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingSimpleMaxPooling2dUint8, IgnorePaddingSimpleMaxPooling2dUint8Test)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingMaxPooling2dSize3, IgnorePaddingMaxPooling2dSize3Test)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingMaxPooling2dSize3Uint8, IgnorePaddingMaxPooling2dSize3Uint8Test)
-
-ARMNN_AUTO_TEST_CASE(IgnorePaddingSimpleAveragePooling2d, IgnorePaddingSimpleAveragePooling2dTest)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingSimpleAveragePooling2dUint8, IgnorePaddingSimpleAveragePooling2dUint8Test)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingSimpleAveragePooling2dNoPadding, IgnorePaddingSimpleAveragePooling2dNoPaddingTest)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingSimpleAveragePooling2dNoPaddingUint8,
-                     IgnorePaddingSimpleAveragePooling2dNoPaddingUint8Test)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingAveragePooling2dSize3, IgnorePaddingAveragePooling2dSize3Test)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingAveragePooling2dSize3Uint8, IgnorePaddingAveragePooling2dSize3Uint8Test)
-
-ARMNN_AUTO_TEST_CASE(IgnorePaddingSimpleL2Pooling2d, IgnorePaddingSimpleL2Pooling2dTest)
-ARMNN_AUTO_TEST_CASE(UNSUPPORTED_IgnorePaddingSimpleL2Pooling2dUint8, IgnorePaddingSimpleL2Pooling2dUint8Test)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingL2Pooling2dSize3, IgnorePaddingL2Pooling2dSize3Test)
-ARMNN_AUTO_TEST_CASE(UNSUPPORTED_IgnorePaddingL2Pooling2dSize3Uint8, IgnorePaddingL2Pooling2dSize3Uint8Test)
-
-ARMNN_AUTO_TEST_CASE(SimpleMaxPooling2d, SimpleMaxPooling2dTest, DataLayout::NCHW)
-ARMNN_AUTO_TEST_CASE(SimpleMaxPooling2dNhwc, SimpleMaxPooling2dTest, DataLayout::NHWC)
-ARMNN_AUTO_TEST_CASE(SimpleMaxPooling2dUint8, SimpleMaxPooling2dUint8Test, DataLayout::NCHW)
-ARMNN_AUTO_TEST_CASE(SimpleMaxPooling2dUint8Nhwc, SimpleMaxPooling2dUint8Test, DataLayout::NHWC)
-
-ARMNN_AUTO_TEST_CASE(SimpleAveragePooling2d, SimpleAveragePooling2dTest, DataLayout::NCHW)
-ARMNN_AUTO_TEST_CASE(SimpleAveragePooling2dNhwc, SimpleAveragePooling2dTest, DataLayout::NHWC)
-ARMNN_AUTO_TEST_CASE(SimpleAveragePooling2dUint8, SimpleAveragePooling2dUint8Test, DataLayout::NCHW)
-ARMNN_AUTO_TEST_CASE(SimpleAveragePooling2dUint8Nhwc, SimpleAveragePooling2dUint8Test, DataLayout::NHWC)
-
-ARMNN_AUTO_TEST_CASE(IgnorePaddingAveragePooling2dSize3x2Stride2x2,
-                     IgnorePaddingAveragePooling2dSize3x2Stride2x2Test,
-                     false)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingAveragePooling2dSize3x2Stride2x2NoPadding,
-                     IgnorePaddingAveragePooling2dSize3x2Stride2x2Test,
-                     true)
-ARMNN_AUTO_TEST_CASE(LargeTensorsAveragePooling2d, LargeTensorsAveragePooling2dTest)
-ARMNN_AUTO_TEST_CASE(LargeTensorsAveragePooling2dUint8, LargeTensorsAveragePooling2dUint8Test)
-
-ARMNN_AUTO_TEST_CASE(SimpleL2Pooling2d, SimpleL2Pooling2dTest, DataLayout::NCHW)
-ARMNN_AUTO_TEST_CASE(SimpleL2Pooling2dNhwc, SimpleL2Pooling2dTest, DataLayout::NHWC)
-ARMNN_AUTO_TEST_CASE(UNSUPPORTED_SimpleL2Pooling2dUint8, SimpleL2Pooling2dUint8Test, DataLayout::NCHW)
-
-ARMNN_AUTO_TEST_CASE(L2Pooling2dSize3Stride1, L2Pooling2dSize3Stride1Test)
-ARMNN_AUTO_TEST_CASE(UNSUPPORTED_L2Pooling2dSize3Stride1Uint8, L2Pooling2dSize3Stride1Uint8Test)
-ARMNN_AUTO_TEST_CASE(L2Pooling2dSize3Stride3, L2Pooling2dSize3Stride3Test)
-ARMNN_AUTO_TEST_CASE(UNSUPPORTED_L2Pooling2dSize3Stride3Uint8, L2Pooling2dSize3Stride3Uint8Test)
-ARMNN_AUTO_TEST_CASE(L2Pooling2dSize3Stride4, L2Pooling2dSize3Stride4Test)
-ARMNN_AUTO_TEST_CASE(UNSUPPORTED_L2Pooling2dSize3Stride4Uint8, L2Pooling2dSize3Stride4Uint8Test)
-ARMNN_AUTO_TEST_CASE(L2Pooling2dSize7, L2Pooling2dSize7Test)
-ARMNN_AUTO_TEST_CASE(UNSUPPORTED_L2Pooling2dSize7Uint8, L2Pooling2dSize7Uint8Test)
-ARMNN_AUTO_TEST_CASE(L2Pooling2dSize9, L2Pooling2dSize9Test)
-ARMNN_AUTO_TEST_CASE(UNSUPPORTED_L2Pooling2dSize9Uint8, L2Pooling2dSize9Uint8Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleMaxPooling2dSize3x3Stride2x4, SimpleMaxPooling2dSize3x3Stride2x4Test, true)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleMaxPooling2dSize3x3Stride2x4Uint8,
+                              SimpleMaxPooling2dSize3x3Stride2x4Uint8Test, true)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingSimpleMaxPooling2d, IgnorePaddingSimpleMaxPooling2dTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingSimpleMaxPooling2dUint8, IgnorePaddingSimpleMaxPooling2dUint8Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingMaxPooling2dSize3, IgnorePaddingMaxPooling2dSize3Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingMaxPooling2dSize3Uint8, IgnorePaddingMaxPooling2dSize3Uint8Test)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingSimpleAveragePooling2d, IgnorePaddingSimpleAveragePooling2dTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingSimpleAveragePooling2dUint8, IgnorePaddingSimpleAveragePooling2dUint8Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingSimpleAveragePooling2dNoPadding,
+                              IgnorePaddingSimpleAveragePooling2dNoPaddingTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingSimpleAveragePooling2dNoPaddingUint8,
+                              IgnorePaddingSimpleAveragePooling2dNoPaddingUint8Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingAveragePooling2dSize3, IgnorePaddingAveragePooling2dSize3Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingAveragePooling2dSize3Uint8, IgnorePaddingAveragePooling2dSize3Uint8Test)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingSimpleL2Pooling2d, IgnorePaddingSimpleL2Pooling2dTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(UNSUPPORTED_IgnorePaddingSimpleL2Pooling2dUint8, IgnorePaddingSimpleL2Pooling2dUint8Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingL2Pooling2dSize3, IgnorePaddingL2Pooling2dSize3Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(UNSUPPORTED_IgnorePaddingL2Pooling2dSize3Uint8, IgnorePaddingL2Pooling2dSize3Uint8Test)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleMaxPooling2d, SimpleMaxPooling2dTest, DataLayout::NCHW)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleMaxPooling2dNhwc, SimpleMaxPooling2dTest, DataLayout::NHWC)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleMaxPooling2dUint8, SimpleMaxPooling2dUint8Test, DataLayout::NCHW)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleMaxPooling2dUint8Nhwc, SimpleMaxPooling2dUint8Test, DataLayout::NHWC)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleAveragePooling2d, SimpleAveragePooling2dTest, DataLayout::NCHW)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleAveragePooling2dNhwc, SimpleAveragePooling2dTest, DataLayout::NHWC)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleAveragePooling2dUint8, SimpleAveragePooling2dUint8Test, DataLayout::NCHW)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleAveragePooling2dUint8Nhwc, SimpleAveragePooling2dUint8Test, DataLayout::NHWC)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingAveragePooling2dSize3x2Stride2x2,
+                              IgnorePaddingAveragePooling2dSize3x2Stride2x2Test,
+                              false)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingAveragePooling2dSize3x2Stride2x2NoPadding,
+                              IgnorePaddingAveragePooling2dSize3x2Stride2x2Test,
+                              true)
+ARMNN_AUTO_TEST_CASE_WITH_THF(LargeTensorsAveragePooling2d, LargeTensorsAveragePooling2dTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(LargeTensorsAveragePooling2dUint8, LargeTensorsAveragePooling2dUint8Test)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleL2Pooling2d, SimpleL2Pooling2dTest, DataLayout::NCHW)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleL2Pooling2dNhwc, SimpleL2Pooling2dTest, DataLayout::NHWC)
+ARMNN_AUTO_TEST_CASE_WITH_THF(UNSUPPORTED_SimpleL2Pooling2dUint8, SimpleL2Pooling2dUint8Test, DataLayout::NCHW)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(L2Pooling2dSize3Stride1, L2Pooling2dSize3Stride1Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(UNSUPPORTED_L2Pooling2dSize3Stride1Uint8, L2Pooling2dSize3Stride1Uint8Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(L2Pooling2dSize3Stride3, L2Pooling2dSize3Stride3Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(UNSUPPORTED_L2Pooling2dSize3Stride3Uint8, L2Pooling2dSize3Stride3Uint8Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(L2Pooling2dSize3Stride4, L2Pooling2dSize3Stride4Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(UNSUPPORTED_L2Pooling2dSize3Stride4Uint8, L2Pooling2dSize3Stride4Uint8Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(L2Pooling2dSize7, L2Pooling2dSize7Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(UNSUPPORTED_L2Pooling2dSize7Uint8, L2Pooling2dSize7Uint8Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(L2Pooling2dSize9, L2Pooling2dSize9Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(UNSUPPORTED_L2Pooling2dSize9Uint8, L2Pooling2dSize9Uint8Test)
 
 // Add
 ARMNN_AUTO_TEST_CASE(SimpleAdd, AdditionTest)
@@ -469,7 +471,7 @@ ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleFill, SimpleFillTest<DataType::Float32>)
 ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleFillF16, SimpleFillTest<DataType::Float16>)
 ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleFillS32, SimpleFillTest<DataType::Signed32>)
 
-// Floor
+// FloorPreluUint8
 ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleFloor, SimpleFloorTest<DataType::Float32>)
 
 // Gather
@@ -485,38 +487,38 @@ ARMNN_AUTO_TEST_CASE(SimpleReshapeUint8, SimpleReshapeTest<DataType::QAsymmU8>)
 ARMNN_AUTO_TEST_CASE(Reshape5d, Reshape5dTest<DataType::Float32>)
 
 // Pad
-ARMNN_AUTO_TEST_CASE(PadFloat322d, PadFloat322dTest)
-ARMNN_AUTO_TEST_CASE(PadFloat322dCustomPadding, PadFloat322dCustomPaddingTest)
-ARMNN_AUTO_TEST_CASE(PadFloat323d, PadFloat323dTest)
-ARMNN_AUTO_TEST_CASE(PadFloat324d, PadFloat324dTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PadFloat322d, PadFloat322dTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PadFloat322dCustomPadding, PadFloat322dCustomPaddingTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PadFloat323d, PadFloat323dTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PadFloat324d, PadFloat324dTest)
 
-ARMNN_AUTO_TEST_CASE(PadUint82d, PadUint82dTest)
-ARMNN_AUTO_TEST_CASE(PadUint82dCustomPadding, PadUint82dCustomPaddingTest)
-ARMNN_AUTO_TEST_CASE(PadUint83d, PadUint83dTest)
-ARMNN_AUTO_TEST_CASE(PadUint84d, PadUint84dTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PadUint82d, PadUint82dTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PadUint82dCustomPadding, PadUint82dCustomPaddingTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PadUint83d, PadUint83dTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PadUint84d, PadUint84dTest)
 
-ARMNN_AUTO_TEST_CASE(Pad2dQSymm16, Pad2dTestCommon<DataType::QSymmS16>, 2.0f, 0, 0.0f)
-ARMNN_AUTO_TEST_CASE(Pad2dQSymm16CustomPadding, Pad2dTestCommon<DataType::QSymmS16>, 2.0f, 0, 1.0f)
-ARMNN_AUTO_TEST_CASE(Pad3dQSymm16, Pad3dTestCommon<DataType::QSymmS16>, 2.0f, 0)
-ARMNN_AUTO_TEST_CASE(Pad4dQSymm16, Pad4dTestCommon<DataType::QSymmS16>, 2.0f, 0)
+ARMNN_AUTO_TEST_CASE_WITH_THF(Pad2dQSymm16, Pad2dTestCommon<DataType::QSymmS16>, 2.0f, 0, 0.0f)
+ARMNN_AUTO_TEST_CASE_WITH_THF(Pad2dQSymm16CustomPadding, Pad2dTestCommon<DataType::QSymmS16>, 2.0f, 0, 1.0f)
+ARMNN_AUTO_TEST_CASE_WITH_THF(Pad3dQSymm16, Pad3dTestCommon<DataType::QSymmS16>, 2.0f, 0)
+ARMNN_AUTO_TEST_CASE_WITH_THF(Pad4dQSymm16, Pad4dTestCommon<DataType::QSymmS16>, 2.0f, 0)
 
 // PReLU
-ARMNN_AUTO_TEST_CASE(PreluFloat32, PreluTest<ClWorkloadFactory, DataType::Float32>)
-ARMNN_AUTO_TEST_CASE(PreluUint8,   PreluTest<ClWorkloadFactory, DataType::QAsymmU8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PreluFloat32, PreluTest<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PreluUint8,   PreluTest<DataType::QAsymmU8>)
 
 // Permute
-ARMNN_AUTO_TEST_CASE(SimplePermuteFloat32, SimplePermuteTest<DataType::Float32>)
-ARMNN_AUTO_TEST_CASE(PermuteFloat32ValueSet1Test, PermuteValueSet1Test<DataType::Float32>)
-ARMNN_AUTO_TEST_CASE(PermuteFloat32ValueSet2Test, PermuteValueSet2Test<DataType::Float32>)
-ARMNN_AUTO_TEST_CASE(PermuteFloat32ValueSet3Test, PermuteValueSet3Test<DataType::Float32>)
-ARMNN_AUTO_TEST_CASE(SimplePermuteQASymmS8, SimplePermuteTest<DataType::QAsymmS8>)
-ARMNN_AUTO_TEST_CASE(PermuteQASymmS8ValueSet1Test, PermuteValueSet1Test<DataType::QAsymmS8>)
-ARMNN_AUTO_TEST_CASE(PermuteQASymmS8ValueSet2Test, PermuteValueSet2Test<DataType::QAsymmS8>)
-ARMNN_AUTO_TEST_CASE(PermuteQASymmS8ValueSet3Test, PermuteValueSet3Test<DataType::QAsymmS8>)
-ARMNN_AUTO_TEST_CASE(SimplePermuteQASymm8, SimplePermuteTest<DataType::QAsymmU8>)
-ARMNN_AUTO_TEST_CASE(PermuteQASymm8ValueSet1Test, PermuteValueSet1Test<DataType::QAsymmU8>)
-ARMNN_AUTO_TEST_CASE(PermuteQASymm8ValueSet2Test, PermuteValueSet2Test<DataType::QAsymmU8>)
-ARMNN_AUTO_TEST_CASE(PermuteQASymm8ValueSet3Test, PermuteValueSet3Test<DataType::QAsymmU8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimplePermuteFloat32, SimplePermuteTest<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PermuteFloat32ValueSet1Test, PermuteValueSet1Test<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PermuteFloat32ValueSet2Test, PermuteValueSet2Test<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PermuteFloat32ValueSet3Test, PermuteValueSet3Test<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimplePermuteQASymmS8, SimplePermuteTest<DataType::QAsymmS8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PermuteQASymmS8ValueSet1Test, PermuteValueSet1Test<DataType::QAsymmS8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PermuteQASymmS8ValueSet2Test, PermuteValueSet2Test<DataType::QAsymmS8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PermuteQASymmS8ValueSet3Test, PermuteValueSet3Test<DataType::QAsymmS8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimplePermuteQASymm8, SimplePermuteTest<DataType::QAsymmU8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PermuteQASymm8ValueSet1Test, PermuteValueSet1Test<DataType::QAsymmU8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PermuteQASymm8ValueSet2Test, PermuteValueSet2Test<DataType::QAsymmU8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PermuteQASymm8ValueSet3Test, PermuteValueSet3Test<DataType::QAsymmU8>)
 
 // Lstm
 ARMNN_AUTO_TEST_CASE_WITH_THF(LstmLayerFloat32WithCifgWithPeepholeNoProjection,
@@ -551,29 +553,29 @@ ARMNN_AUTO_TEST_CASE(MaximumBroadcast1ElementUint8, MaximumBroadcast1ElementUint
 ARMNN_AUTO_TEST_CASE(MaximumBroadcast1DVectorUint8, MaximumBroadcast1DVectorUint8Test)
 
 // Mean
-ARMNN_AUTO_TEST_CASE(MeanSimpleFloat32, MeanSimpleTest<DataType::Float32>)
-ARMNN_AUTO_TEST_CASE(MeanSimpleAxisFloat32, MeanSimpleAxisTest<DataType::Float32>)
-ARMNN_AUTO_TEST_CASE(MeanKeepDimsFloat32, MeanKeepDimsTest<DataType::Float32>)
-ARMNN_AUTO_TEST_CASE(MeanMultipleDimsFloat32, MeanMultipleDimsTest<DataType::Float32>)
-ARMNN_AUTO_TEST_CASE(MeanVts1Float32, MeanVts1Test<DataType::Float32>)
-ARMNN_AUTO_TEST_CASE(MeanVts2Float32, MeanVts2Test<DataType::Float32>)
-ARMNN_AUTO_TEST_CASE(MeanVts3Float32, MeanVts3Test<DataType::Float32>)
-
-ARMNN_AUTO_TEST_CASE(MeanSimpleQuantisedAsymmS8, MeanSimpleTest<DataType::QAsymmS8>)
-ARMNN_AUTO_TEST_CASE(MeanSimpleAxisQuantisedAsymmS8, MeanSimpleAxisTest<DataType::QAsymmS8>)
-ARMNN_AUTO_TEST_CASE(MeanKeepDimsQuantisedAsymmS8, MeanKeepDimsTest<DataType::QAsymmS8>)
-ARMNN_AUTO_TEST_CASE(MeanMultipleDimsQuantisedAsymmS8, MeanMultipleDimsTest<DataType::QAsymmS8>)
-ARMNN_AUTO_TEST_CASE(MeanVts1QuantisedAsymmS8, MeanVts1Test<DataType::QAsymmS8>)
-ARMNN_AUTO_TEST_CASE(MeanVts2QuantisedAsymmS8, MeanVts2Test<DataType::QAsymmS8>)
-ARMNN_AUTO_TEST_CASE(MeanVts3QuantisedAsymmS8, MeanVts3Test<DataType::QAsymmS8>)
-
-ARMNN_AUTO_TEST_CASE(MeanSimpleQuantisedAsymm8, MeanSimpleTest<DataType::QAsymmU8>)
-ARMNN_AUTO_TEST_CASE(MeanSimpleAxisQuantisedAsymm8, MeanSimpleAxisTest<DataType::QAsymmU8>)
-ARMNN_AUTO_TEST_CASE(MeanKeepDimsQuantisedAsymm8, MeanKeepDimsTest<DataType::QAsymmU8>)
-ARMNN_AUTO_TEST_CASE(MeanMultipleDimsQuantisedAsymm8, MeanMultipleDimsTest<DataType::QAsymmU8>)
-ARMNN_AUTO_TEST_CASE(MeanVts1QuantisedAsymm8, MeanVts1Test<DataType::QAsymmU8>)
-ARMNN_AUTO_TEST_CASE(MeanVts2QuantisedAsymm8, MeanVts2Test<DataType::QAsymmU8>)
-ARMNN_AUTO_TEST_CASE(MeanVts3QuantisedAsymm8, MeanVts3Test<DataType::QAsymmU8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanSimpleFloat32, MeanSimpleTest<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanSimpleAxisFloat32, MeanSimpleAxisTest<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanKeepDimsFloat32, MeanKeepDimsTest<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanMultipleDimsFloat32, MeanMultipleDimsTest<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanVts1Float32, MeanVts1Test<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanVts2Float32, MeanVts2Test<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanVts3Float32, MeanVts3Test<DataType::Float32>)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanSimpleQuantisedAsymmS8, MeanSimpleTest<DataType::QAsymmS8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanSimpleAxisQuantisedAsymmS8, MeanSimpleAxisTest<DataType::QAsymmS8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanKeepDimsQuantisedAsymmS8, MeanKeepDimsTest<DataType::QAsymmS8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanMultipleDimsQuantisedAsymmS8, MeanMultipleDimsTest<DataType::QAsymmS8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanVts1QuantisedAsymmS8, MeanVts1Test<DataType::QAsymmS8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanVts2QuantisedAsymmS8, MeanVts2Test<DataType::QAsymmS8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanVts3QuantisedAsymmS8, MeanVts3Test<DataType::QAsymmS8>)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanSimpleQuantisedAsymm8, MeanSimpleTest<DataType::QAsymmU8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanSimpleAxisQuantisedAsymm8, MeanSimpleAxisTest<DataType::QAsymmU8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanKeepDimsQuantisedAsymm8, MeanKeepDimsTest<DataType::QAsymmU8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanMultipleDimsQuantisedAsymm8, MeanMultipleDimsTest<DataType::QAsymmU8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanVts1QuantisedAsymm8, MeanVts1Test<DataType::QAsymmU8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanVts2QuantisedAsymm8, MeanVts2Test<DataType::QAsymmU8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanVts3QuantisedAsymm8, MeanVts3Test<DataType::QAsymmU8>)
 
 // Minimum
 ARMNN_AUTO_TEST_CASE(MinimumBroadcast1Element1, MinimumBroadcast1ElementTest1)
@@ -1249,20 +1251,21 @@ ARMNN_COMPARE_REF_AUTO_TEST_CASE_WITH_THF(CompareDepthwiseConv2dWithReferenceUin
                                  CompareDepthwiseConvolution2dUint8Test,
                                  DataLayout::NHWC)
 
-ARMNN_COMPARE_REF_AUTO_TEST_CASE(CompareNormalizationWithinWithReference, CompareNormalizationTest,
-                                 NormalizationAlgorithmChannel::Within,
-                                 NormalizationAlgorithmMethod::LocalBrightness)
-ARMNN_COMPARE_REF_AUTO_TEST_CASE(CompareNormalizationAcrossWithReference, CompareNormalizationTest,
-                                 NormalizationAlgorithmChannel::Across,
-                                 NormalizationAlgorithmMethod::LocalBrightness)
+ARMNN_COMPARE_REF_AUTO_TEST_CASE_WITH_THF(CompareNormalizationWithinWithReference, CompareNormalizationTest,
+                                          NormalizationAlgorithmChannel::Within,
+                                          NormalizationAlgorithmMethod::LocalBrightness)
+ARMNN_COMPARE_REF_AUTO_TEST_CASE_WITH_THF(CompareNormalizationAcrossWithReference, CompareNormalizationTest,
+                                          NormalizationAlgorithmChannel::Across,
+                                          NormalizationAlgorithmMethod::LocalBrightness)
 
-ARMNN_COMPARE_REF_AUTO_TEST_CASE(CompareMaxPooling2dWithRef, ComparePooling2dTest, PoolingAlgorithm::Max)
+ARMNN_COMPARE_REF_AUTO_TEST_CASE_WITH_THF(CompareMaxPooling2dWithRef, ComparePooling2dTest, PoolingAlgorithm::Max)
 
-ARMNN_COMPARE_REF_AUTO_TEST_CASE(CompareAveragePooling2dWithRef, ComparePooling2dTest, PoolingAlgorithm::Average)
-ARMNN_COMPARE_REF_AUTO_TEST_CASE(CompareAveragePooling2dWithRefUint8, ComparePooling2dUint8Test,
-                                 PoolingAlgorithm::Average)
+ARMNN_COMPARE_REF_AUTO_TEST_CASE_WITH_THF(CompareAveragePooling2dWithRef,
+                                          ComparePooling2dTest, PoolingAlgorithm::Average)
+ARMNN_COMPARE_REF_AUTO_TEST_CASE_WITH_THF(CompareAveragePooling2dWithRefUint8, ComparePooling2dUint8Test,
+                                          PoolingAlgorithm::Average)
 
-ARMNN_COMPARE_REF_AUTO_TEST_CASE(CompareL2Pooling2dWithRef, ComparePooling2dTest, PoolingAlgorithm::L2)
+ARMNN_COMPARE_REF_AUTO_TEST_CASE_WITH_THF(CompareL2Pooling2dWithRef, ComparePooling2dTest, PoolingAlgorithm::L2)
 
 ARMNN_COMPARE_REF_AUTO_TEST_CASE(CompareAddition, CompareAdditionTest)
 
diff --git a/src/backends/neon/test/NeonLayerTests.cpp b/src/backends/neon/test/NeonLayerTests.cpp
index 40f4388213..2c592a2473 100644
--- a/src/backends/neon/test/NeonLayerTests.cpp
+++ b/src/backends/neon/test/NeonLayerTests.cpp
@@ -402,60 +402,68 @@ ARMNN_AUTO_TEST_CASE(DequantizeOffsetUint8, DequantizeOffsetUint8Test)
 ARMNN_AUTO_TEST_CASE(DequantizeSimpleInt16, DequantizeSimpleInt16Test)
 
 // Pooling
-ARMNN_AUTO_TEST_CASE(SimpleMaxPooling2dSize3x3Stride2x4, SimpleMaxPooling2dSize3x3Stride2x4Test, true)
-ARMNN_AUTO_TEST_CASE(SimpleMaxPooling2dSize3x3Stride2x4Uint8, SimpleMaxPooling2dSize3x3Stride2x4Uint8Test, true)
-
-ARMNN_AUTO_TEST_CASE(SimpleMaxPooling2d, SimpleMaxPooling2dTest, DataLayout::NCHW)
-ARMNN_AUTO_TEST_CASE(SimpleMaxPooling2dNhwc, SimpleMaxPooling2dTest, DataLayout::NHWC)
-ARMNN_AUTO_TEST_CASE(SimpleMaxPooling2dUint8, SimpleMaxPooling2dUint8Test, DataLayout::NCHW)
-ARMNN_AUTO_TEST_CASE(SimpleMaxPooling2dUint8Nhwc, SimpleMaxPooling2dUint8Test, DataLayout::NHWC)
-
-ARMNN_AUTO_TEST_CASE(SimpleAveragePooling2d, SimpleAveragePooling2dTest, DataLayout::NCHW)
-ARMNN_AUTO_TEST_CASE(SimpleAveragePooling2dNhwc, SimpleAveragePooling2dTest, DataLayout::NCHW)
-ARMNN_AUTO_TEST_CASE(SimpleAveragePooling2dUint8, SimpleAveragePooling2dUint8Test, DataLayout::NCHW)
-ARMNN_AUTO_TEST_CASE(SimpleAveragePooling2dUint8Nhwc, SimpleAveragePooling2dUint8Test, DataLayout::NHWC)
-
-ARMNN_AUTO_TEST_CASE(LargeTensorsAveragePooling2d, LargeTensorsAveragePooling2dTest)
-ARMNN_AUTO_TEST_CASE(LargeTensorsAveragePooling2dUint8, LargeTensorsAveragePooling2dUint8Test)
-
-ARMNN_AUTO_TEST_CASE(SimpleL2Pooling2d, SimpleL2Pooling2dTest, DataLayout::NCHW)
-ARMNN_AUTO_TEST_CASE(SimpleL2Pooling2dNeon, SimpleL2Pooling2dTest, DataLayout::NHWC)
-ARMNN_AUTO_TEST_CASE(UNSUPPORTED_SimpleL2Pooling2dUint8, SimpleL2Pooling2dUint8Test, DataLayout::NCHW)
-
-ARMNN_AUTO_TEST_CASE(L2Pooling2dSize3Stride1, L2Pooling2dSize3Stride1Test)
-ARMNN_AUTO_TEST_CASE(UNSUPPORTED_L2Pooling2dSize3Stride1Uint8, L2Pooling2dSize3Stride1Uint8Test)
-ARMNN_AUTO_TEST_CASE(L2Pooling2dSize3Stride3, L2Pooling2dSize3Stride3Test)
-ARMNN_AUTO_TEST_CASE(UNSUPPORTED_L2Pooling2dSize3Stride3Uint8, L2Pooling2dSize3Stride3Uint8Test)
-ARMNN_AUTO_TEST_CASE(L2Pooling2dSize3Stride4, L2Pooling2dSize3Stride4Test)
-ARMNN_AUTO_TEST_CASE(UNSUPPORTED_L2Pooling2dSize3Stride4Uint8, L2Pooling2dSize3Stride4Uint8Test)
-ARMNN_AUTO_TEST_CASE(L2Pooling2dSize7, L2Pooling2dSize7Test)
-ARMNN_AUTO_TEST_CASE(UNSUPPORTED_L2Pooling2dSize7Uint8, L2Pooling2dSize7Uint8Test)
-ARMNN_AUTO_TEST_CASE(L2Pooling2dSize9, L2Pooling2dSize9Test)
-ARMNN_AUTO_TEST_CASE(UNSUPPORTED_L2Pooling2dSize9Uint8, L2Pooling2dSize9Uint8Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleMaxPooling2dSize3x3Stride2x4,
+                                          SimpleMaxPooling2dSize3x3Stride2x4Test, true)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleMaxPooling2dSize3x3Stride2x4Uint8,
+                                          SimpleMaxPooling2dSize3x3Stride2x4Uint8Test, true)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleMaxPooling2d, SimpleMaxPooling2dTest, DataLayout::NCHW)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleMaxPooling2dNhwc, SimpleMaxPooling2dTest, DataLayout::NHWC)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleMaxPooling2dUint8, SimpleMaxPooling2dUint8Test, DataLayout::NCHW)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleMaxPooling2dUint8Nhwc, SimpleMaxPooling2dUint8Test, DataLayout::NHWC)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleAveragePooling2d, SimpleAveragePooling2dTest, DataLayout::NCHW)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleAveragePooling2dNhwc, SimpleAveragePooling2dTest, DataLayout::NCHW)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleAveragePooling2dUint8,
+                                          SimpleAveragePooling2dUint8Test, DataLayout::NCHW)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleAveragePooling2dUint8Nhwc,
+                                          SimpleAveragePooling2dUint8Test, DataLayout::NHWC)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(LargeTensorsAveragePooling2d, LargeTensorsAveragePooling2dTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(LargeTensorsAveragePooling2dUint8, LargeTensorsAveragePooling2dUint8Test)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleL2Pooling2d, SimpleL2Pooling2dTest, DataLayout::NCHW)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleL2Pooling2dNeon, SimpleL2Pooling2dTest, DataLayout::NHWC)
+ARMNN_AUTO_TEST_CASE_WITH_THF(UNSUPPORTED_SimpleL2Pooling2dUint8, SimpleL2Pooling2dUint8Test, DataLayout::NCHW)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(L2Pooling2dSize3Stride1, L2Pooling2dSize3Stride1Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(UNSUPPORTED_L2Pooling2dSize3Stride1Uint8, L2Pooling2dSize3Stride1Uint8Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(L2Pooling2dSize3Stride3, L2Pooling2dSize3Stride3Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(UNSUPPORTED_L2Pooling2dSize3Stride3Uint8, L2Pooling2dSize3Stride3Uint8Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(L2Pooling2dSize3Stride4, L2Pooling2dSize3Stride4Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(UNSUPPORTED_L2Pooling2dSize3Stride4Uint8, L2Pooling2dSize3Stride4Uint8Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(L2Pooling2dSize7, L2Pooling2dSize7Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(UNSUPPORTED_L2Pooling2dSize7Uint8, L2Pooling2dSize7Uint8Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(L2Pooling2dSize9, L2Pooling2dSize9Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(UNSUPPORTED_L2Pooling2dSize9Uint8, L2Pooling2dSize9Uint8Test)
 
 // Ignore padding values for pooling but count padding fields into the divisor
-ARMNN_AUTO_TEST_CASE(IgnorePaddingSimpleMaxPooling2d, IgnorePaddingSimpleMaxPooling2dTest)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingSimpleMaxPooling2dUint8, IgnorePaddingSimpleMaxPooling2dUint8Test)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingMaxPooling2dSize3, IgnorePaddingMaxPooling2dSize3Test)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingMaxPooling2dSize3Uint8, IgnorePaddingMaxPooling2dSize3Uint8Test)
-
-ARMNN_AUTO_TEST_CASE(IgnorePaddingSimpleAveragePooling2d, IgnorePaddingSimpleAveragePooling2dTest)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingSimpleAveragePooling2dUint8, IgnorePaddingSimpleAveragePooling2dUint8Test)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingSimpleAveragePooling2dNoPadding, IgnorePaddingSimpleAveragePooling2dNoPaddingTest)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingSimpleAveragePooling2dNoPaddingUint8,
-    IgnorePaddingSimpleAveragePooling2dNoPaddingUint8Test)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingAveragePooling2dSize3, IgnorePaddingAveragePooling2dSize3Test)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingAveragePooling2dSize3Uint8, IgnorePaddingAveragePooling2dSize3Uint8Test)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingAveragePooling2dSize3x2Stride2x2,
-                             IgnorePaddingAveragePooling2dSize3x2Stride2x2Test, false)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingAveragePooling2dSize3x2Stride2x2NoPadding,
-                             IgnorePaddingAveragePooling2dSize3x2Stride2x2Test,
-                                          true)
-
-ARMNN_AUTO_TEST_CASE(IgnorePaddingSimpleL2Pooling2d, IgnorePaddingSimpleL2Pooling2dTest)
-ARMNN_AUTO_TEST_CASE(UNSUPPORTED_IgnorePaddingSimpleL2Pooling2dUint8, IgnorePaddingSimpleL2Pooling2dUint8Test)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingL2Pooling2dSize3, IgnorePaddingL2Pooling2dSize3Test)
-ARMNN_AUTO_TEST_CASE(UNSUPPORTED_IgnorePaddingL2Pooling2dSize3Uint8, IgnorePaddingL2Pooling2dSize3Uint8Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingSimpleMaxPooling2d, IgnorePaddingSimpleMaxPooling2dTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingSimpleMaxPooling2dUint8, IgnorePaddingSimpleMaxPooling2dUint8Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingMaxPooling2dSize3, IgnorePaddingMaxPooling2dSize3Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingMaxPooling2dSize3Uint8, IgnorePaddingMaxPooling2dSize3Uint8Test)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingSimpleAveragePooling2d, IgnorePaddingSimpleAveragePooling2dTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingSimpleAveragePooling2dUint8, IgnorePaddingSimpleAveragePooling2dUint8Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingSimpleAveragePooling2dNoPadding,
+                              IgnorePaddingSimpleAveragePooling2dNoPaddingTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingSimpleAveragePooling2dNoPaddingUint8,
+                              IgnorePaddingSimpleAveragePooling2dNoPaddingUint8Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingAveragePooling2dSize3, IgnorePaddingAveragePooling2dSize3Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingAveragePooling2dSize3Uint8,
+                              IgnorePaddingAveragePooling2dSize3Uint8Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingAveragePooling2dSize3x2Stride2x2,
+                              IgnorePaddingAveragePooling2dSize3x2Stride2x2Test, false)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingAveragePooling2dSize3x2Stride2x2NoPadding,
+                              IgnorePaddingAveragePooling2dSize3x2Stride2x2Test,
+                              true)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingSimpleL2Pooling2d, IgnorePaddingSimpleL2Pooling2dTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(UNSUPPORTED_IgnorePaddingSimpleL2Pooling2dUint8,
+                                          IgnorePaddingSimpleL2Pooling2dUint8Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingL2Pooling2dSize3, IgnorePaddingL2Pooling2dSize3Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(UNSUPPORTED_IgnorePaddingL2Pooling2dSize3Uint8,
+                                          IgnorePaddingL2Pooling2dSize3Uint8Test)
 
 // Activation
 ARMNN_AUTO_TEST_CASE(ConstantLinearActivation, ConstantLinearActivationTest)
@@ -517,12 +525,14 @@ ARMNN_AUTO_TEST_CASE_WITH_THF(SpaceToBatchNdMultiBlockUint8, SpaceToBatchNdMulti
 ARMNN_AUTO_TEST_CASE_WITH_THF(SpaceToBatchNdPaddingUint8, SpaceToBatchNdPaddingUint8Test)
 
 ARMNN_AUTO_TEST_CASE_WITH_THF(SpaceToBatchNdSimpleNhwcFloat32, SpaceToBatchNdSimpleNhwcFloat32Test)
-ARMNN_AUTO_TEST_CASE_WITH_THF(SpaceToBatchNdMultiChannelsNhwcFloat32, SpaceToBatchNdMultiChannelsNhwcFloat32Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SpaceToBatchNdMultiChannelsNhwcFloat32,
+                                          SpaceToBatchNdMultiChannelsNhwcFloat32Test)
 ARMNN_AUTO_TEST_CASE_WITH_THF(SpaceToBatchNdMultiBlockNhwcFloat32, SpaceToBatchNdMultiBlockNhwcFloat32Test)
 ARMNN_AUTO_TEST_CASE_WITH_THF(SpaceToBatchNdPaddingNhwcFloat32, SpaceToBatchNdPaddingNhwcFloat32Test)
 
 ARMNN_AUTO_TEST_CASE_WITH_THF(SpaceToBatchNdSimpleNhwcUint8, SpaceToBatchNdSimpleNhwcUint8Test)
-ARMNN_AUTO_TEST_CASE_WITH_THF(SpaceToBatchNdMultiChannelsNhwcUint8, SpaceToBatchNdMultiChannelsNhwcUint8Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SpaceToBatchNdMultiChannelsNhwcUint8,
+                                          SpaceToBatchNdMultiChannelsNhwcUint8Test)
 ARMNN_AUTO_TEST_CASE_WITH_THF(SpaceToBatchNdMultiBlockNhwcUint8, SpaceToBatchNdMultiBlockNhwcUint8Test)
 ARMNN_AUTO_TEST_CASE_WITH_THF(SpaceToBatchNdPaddingNhwcUint8, SpaceToBatchNdPaddingNhwcUint8Test)
 
@@ -739,34 +749,34 @@ ARMNN_AUTO_TEST_CASE(SimpleReshapeUint8, SimpleReshapeTest<armnn::DataType::QAsy
 ARMNN_AUTO_TEST_CASE(Reshape5d, Reshape5dTest<armnn::DataType::Float32>)
 
 // Pad
-ARMNN_AUTO_TEST_CASE(PadFloat322d, PadFloat322dTest)
-ARMNN_AUTO_TEST_CASE(PadFloat322dCustomPadding, PadFloat322dCustomPaddingTest)
-ARMNN_AUTO_TEST_CASE(PadFloat323d, PadFloat323dTest)
-ARMNN_AUTO_TEST_CASE(PadFloat324d, PadFloat324dTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PadFloat322d, PadFloat322dTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PadFloat322dCustomPadding, PadFloat322dCustomPaddingTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PadFloat323d, PadFloat323dTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PadFloat324d, PadFloat324dTest)
 
-ARMNN_AUTO_TEST_CASE(PadUint82d, PadUint82dTest)
-ARMNN_AUTO_TEST_CASE(PadUint82dCustomPadding, PadUint82dCustomPaddingTest)
-ARMNN_AUTO_TEST_CASE(PadUint83d, PadUint83dTest)
-ARMNN_AUTO_TEST_CASE(PadUint84d, PadUint84dTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PadUint82d, PadUint82dTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PadUint82dCustomPadding, PadUint82dCustomPaddingTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PadUint83d, PadUint83dTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PadUint84d, PadUint84dTest)
 
-ARMNN_AUTO_TEST_CASE(Pad2dQSymm16, Pad2dTestCommon<DataType::QSymmS16>, 2.0f, 0, 0.0f)
-ARMNN_AUTO_TEST_CASE(Pad2dQSymm16CustomPadding, Pad2dTestCommon<DataType::QSymmS16>, 2.0f, 0, 1.0f)
-ARMNN_AUTO_TEST_CASE(Pad3dQSymm16, Pad3dTestCommon<DataType::QSymmS16>, 2.0f, 0)
-ARMNN_AUTO_TEST_CASE(Pad4dQSymm16, Pad4dTestCommon<DataType::QSymmS16>, 2.0f, 0)
+ARMNN_AUTO_TEST_CASE_WITH_THF(Pad2dQSymm16, Pad2dTestCommon<DataType::QSymmS16>, 2.0f, 0, 0.0f)
+ARMNN_AUTO_TEST_CASE_WITH_THF(Pad2dQSymm16CustomPadding, Pad2dTestCommon<DataType::QSymmS16>, 2.0f, 0, 1.0f)
+ARMNN_AUTO_TEST_CASE_WITH_THF(Pad3dQSymm16, Pad3dTestCommon<DataType::QSymmS16>, 2.0f, 0)
+ARMNN_AUTO_TEST_CASE_WITH_THF(Pad4dQSymm16, Pad4dTestCommon<DataType::QSymmS16>, 2.0f, 0)
 
 // Permute
-ARMNN_AUTO_TEST_CASE(SimplePermuteFloat32, SimplePermuteTest<DataType::Float32>)
-ARMNN_AUTO_TEST_CASE(PermuteFloat32ValueSet1Test, PermuteValueSet1Test<DataType::Float32>)
-ARMNN_AUTO_TEST_CASE(PermuteFloat32ValueSet2Test, PermuteValueSet2Test<DataType::Float32>)
-ARMNN_AUTO_TEST_CASE(PermuteFloat32ValueSet3Test, PermuteValueSet3Test<DataType::Float32>)
-ARMNN_AUTO_TEST_CASE(SimplePermuteQASymmS8, SimplePermuteTest<DataType::QAsymmS8>)
-ARMNN_AUTO_TEST_CASE(PermuteQASymmS8ValueSet1Test, PermuteValueSet1Test<DataType::QAsymmS8>)
-ARMNN_AUTO_TEST_CASE(PermuteQASymmS8ValueSet2Test, PermuteValueSet2Test<DataType::QAsymmS8>)
-ARMNN_AUTO_TEST_CASE(PermuteQASymmS8ValueSet3Test, PermuteValueSet3Test<DataType::QAsymmS8>)
-ARMNN_AUTO_TEST_CASE(SimplePermuteQASymm8, SimplePermuteTest<DataType::QAsymmU8>)
-ARMNN_AUTO_TEST_CASE(PermuteQASymm8ValueSet1Test, PermuteValueSet1Test<DataType::QAsymmU8>)
-ARMNN_AUTO_TEST_CASE(PermuteQASymm8ValueSet2Test, PermuteValueSet2Test<DataType::QAsymmU8>)
-ARMNN_AUTO_TEST_CASE(PermuteQASymm8ValueSet3Test, PermuteValueSet3Test<DataType::QAsymmU8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimplePermuteFloat32, SimplePermuteTest<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PermuteFloat32ValueSet1Test, PermuteValueSet1Test<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PermuteFloat32ValueSet2Test, PermuteValueSet2Test<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PermuteFloat32ValueSet3Test, PermuteValueSet3Test<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimplePermuteQASymmS8, SimplePermuteTest<DataType::QAsymmS8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PermuteQASymmS8ValueSet1Test, PermuteValueSet1Test<DataType::QAsymmS8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PermuteQASymmS8ValueSet2Test, PermuteValueSet2Test<DataType::QAsymmS8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PermuteQASymmS8ValueSet3Test, PermuteValueSet3Test<DataType::QAsymmS8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimplePermuteQASymm8, SimplePermuteTest<DataType::QAsymmU8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PermuteQASymm8ValueSet1Test, PermuteValueSet1Test<DataType::QAsymmU8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PermuteQASymm8ValueSet2Test, PermuteValueSet2Test<DataType::QAsymmU8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PermuteQASymm8ValueSet3Test, PermuteValueSet3Test<DataType::QAsymmU8>)
 
 // Lstm
 ARMNN_AUTO_TEST_CASE_WITH_THF(LstmLayerFloat32WithCifgWithPeepholeNoProjection,
@@ -787,29 +797,29 @@ ARMNN_AUTO_TEST_CASE_WITH_THF(QLstm2, QLstmTest2)
 ARMNN_AUTO_TEST_CASE_WITH_THF(QuantizedLstm, QuantizedLstmTest)
 
 // Mean
-ARMNN_AUTO_TEST_CASE(MeanSimpleFloat32, MeanSimpleTest<DataType::Float32>)
-ARMNN_AUTO_TEST_CASE(MeanSimpleAxisFloat32, MeanSimpleAxisTest<DataType::Float32>)
-ARMNN_AUTO_TEST_CASE(MeanKeepDimsFloat32, MeanKeepDimsTest<DataType::Float32>)
-ARMNN_AUTO_TEST_CASE(MeanMultipleDimsFloat32, MeanMultipleDimsTest<DataType::Float32>)
-ARMNN_AUTO_TEST_CASE(MeanVts1Float32, MeanVts1Test<DataType::Float32>)
-ARMNN_AUTO_TEST_CASE(MeanVts2Float32, MeanVts2Test<DataType::Float32>)
-ARMNN_AUTO_TEST_CASE(MeanVts3Float32, MeanVts3Test<DataType::Float32>)
-
-ARMNN_AUTO_TEST_CASE(MeanSimpleQuantisedAsymmS8, MeanSimpleTest<DataType::QAsymmS8>)
-ARMNN_AUTO_TEST_CASE(MeanSimpleAxisQuantisedAsymmS8, MeanSimpleAxisTest<DataType::QAsymmS8>)
-ARMNN_AUTO_TEST_CASE(MeanKeepDimsQuantisedAsymmS8, MeanKeepDimsTest<DataType::QAsymmS8>)
-ARMNN_AUTO_TEST_CASE(MeanMultipleDimsQuantisedAsymmS8, MeanMultipleDimsTest<DataType::QAsymmS8>)
-ARMNN_AUTO_TEST_CASE(MeanVts1QuantisedAsymmS8, MeanVts1Test<DataType::QAsymmS8>)
-ARMNN_AUTO_TEST_CASE(MeanVts2QuantisedAsymmS8, MeanVts2Test<DataType::QAsymmS8>)
-ARMNN_AUTO_TEST_CASE(MeanVts3QuantisedAsymmS8, MeanVts3Test<DataType::QAsymmS8>)
-
-ARMNN_AUTO_TEST_CASE(MeanSimpleQuantisedAsymm8, MeanSimpleTest<DataType::QAsymmU8>)
-ARMNN_AUTO_TEST_CASE(MeanSimpleAxisQuantisedAsymm8, MeanSimpleAxisTest<DataType::QAsymmU8>)
-ARMNN_AUTO_TEST_CASE(MeanKeepDimsQuantisedAsymm8, MeanKeepDimsTest<DataType::QAsymmU8>)
-ARMNN_AUTO_TEST_CASE(MeanMultipleDimsQuantisedAsymm8, MeanMultipleDimsTest<DataType::QAsymmU8>)
-ARMNN_AUTO_TEST_CASE(MeanVts1QuantisedAsymm8, MeanVts1Test<DataType::QAsymmU8>)
-ARMNN_AUTO_TEST_CASE(MeanVts2QuantisedAsymm8, MeanVts2Test<DataType::QAsymmU8>)
-ARMNN_AUTO_TEST_CASE(MeanVts3QuantisedAsymm8, MeanVts3Test<DataType::QAsymmU8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanSimpleFloat32, MeanSimpleTest<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanSimpleAxisFloat32, MeanSimpleAxisTest<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanKeepDimsFloat32, MeanKeepDimsTest<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanMultipleDimsFloat32, MeanMultipleDimsTest<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanVts1Float32, MeanVts1Test<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanVts2Float32, MeanVts2Test<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanVts3Float32, MeanVts3Test<DataType::Float32>)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanSimpleQuantisedAsymmS8, MeanSimpleTest<DataType::QAsymmS8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanSimpleAxisQuantisedAsymmS8, MeanSimpleAxisTest<DataType::QAsymmS8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanKeepDimsQuantisedAsymmS8, MeanKeepDimsTest<DataType::QAsymmS8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanMultipleDimsQuantisedAsymmS8, MeanMultipleDimsTest<DataType::QAsymmS8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanVts1QuantisedAsymmS8, MeanVts1Test<DataType::QAsymmS8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanVts2QuantisedAsymmS8, MeanVts2Test<DataType::QAsymmS8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanVts3QuantisedAsymmS8, MeanVts3Test<DataType::QAsymmS8>)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanSimpleQuantisedAsymm8, MeanSimpleTest<DataType::QAsymmU8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanSimpleAxisQuantisedAsymm8, MeanSimpleAxisTest<DataType::QAsymmU8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanKeepDimsQuantisedAsymm8, MeanKeepDimsTest<DataType::QAsymmU8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanMultipleDimsQuantisedAsymm8, MeanMultipleDimsTest<DataType::QAsymmU8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanVts1QuantisedAsymm8, MeanVts1Test<DataType::QAsymmU8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanVts2QuantisedAsymm8, MeanVts2Test<DataType::QAsymmU8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanVts3QuantisedAsymm8, MeanVts3Test<DataType::QAsymmU8>)
 
 // Max
 ARMNN_AUTO_TEST_CASE(SimpleMaximum, MaximumSimpleTest)
@@ -825,9 +835,9 @@ ARMNN_AUTO_TEST_CASE(SimpleMinimum2, MinimumBroadcast1ElementTest2)
 ARMNN_AUTO_TEST_CASE(Minimum1DVectorUint8, MinimumBroadcast1DVectorUint8Test)
 
 // Normalization
-ARMNN_AUTO_TEST_CASE(SimpleNormalizationAcross, SimpleNormalizationAcrossTest)
-ARMNN_AUTO_TEST_CASE(SimpleNormalizationWithin, SimpleNormalizationWithinTest)
-ARMNN_AUTO_TEST_CASE(SimpleNormalizationAcrossNhwc, SimpleNormalizationAcrossNhwcTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleNormalizationAcross, SimpleNormalizationAcrossTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleNormalizationWithin, SimpleNormalizationWithinTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleNormalizationAcrossNhwc, SimpleNormalizationAcrossNhwcTest)
 
 // Resize Bilinear - NCHW data layout
 ARMNN_AUTO_TEST_CASE(SimpleResizeBilinear, SimpleResizeBilinearTest<DataType::Float32>, DataLayout::NCHW)
@@ -1047,7 +1057,8 @@ ARMNN_AUTO_TEST_CASE_WITH_THF(StridedSlice4dReverseFloat32, StridedSlice4dRevers
 ARMNN_AUTO_TEST_CASE_WITH_THF(StridedSliceSimpleStrideFloat32, StridedSliceSimpleStrideFloat32Test)
 ARMNN_AUTO_TEST_CASE_WITH_THF(StridedSliceSimpleRangeMaskFloat32, StridedSliceSimpleRangeMaskFloat32Test)
 ARMNN_AUTO_TEST_CASE_WITH_THF(StridedSliceShrinkAxisMaskFloat32, StridedSliceShrinkAxisMaskFloat32Test)
-ARMNN_AUTO_TEST_CASE_WITH_THF(StridedSliceShrinkAxisMaskCTSFloat32, StridedSliceShrinkAxisMaskCTSFloat32Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(StridedSliceShrinkAxisMaskCTSFloat32,
+                                          StridedSliceShrinkAxisMaskCTSFloat32Test)
 ARMNN_AUTO_TEST_CASE_WITH_THF(
     StridedSliceShrinkAxisMaskBitPosition0Dim3Float32, StridedSliceShrinkAxisMaskBitPosition0Dim3Float32Test)
 ARMNN_AUTO_TEST_CASE_WITH_THF(
@@ -1104,8 +1115,8 @@ ARMNN_AUTO_TEST_CASE(QuantizeSimpleUint8, QuantizeSimpleUint8Test)
 ARMNN_AUTO_TEST_CASE(QuantizeClampUint8, QuantizeClampUint8Test)
 
 // PReLU
-ARMNN_AUTO_TEST_CASE(PreluFloat32, PreluTest<NeonWorkloadFactory, DataType::Float32>)
-ARMNN_AUTO_TEST_CASE(PreluUint8,   PreluTest<NeonWorkloadFactory, DataType::QAsymmU8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PreluFloat32, PreluTest<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PreluUint8,   PreluTest<DataType::QAsymmU8>)
 
 // Stack
 ARMNN_AUTO_TEST_CASE_WITH_THF(Stack0Axis,           StackAxis0Float32Test)
@@ -1335,23 +1346,23 @@ ARMNN_COMPARE_REF_AUTO_TEST_CASE_WITH_THF(CompareDepthwiseConv2dWithReferenceUin
                                  CompareDepthwiseConvolution2dUint8Test,
                                  DataLayout::NHWC)
 
-ARMNN_COMPARE_REF_AUTO_TEST_CASE(CompareNormalizationWithinWithReference, CompareNormalizationTest,
-                                 NormalizationAlgorithmChannel::Within,
-                                 NormalizationAlgorithmMethod::LocalBrightness)
-ARMNN_COMPARE_REF_AUTO_TEST_CASE(CompareNormalizationAcrossWithReference, CompareNormalizationTest,
-                                 NormalizationAlgorithmChannel::Across,
-                                 NormalizationAlgorithmMethod::LocalBrightness)
-
-ARMNN_COMPARE_REF_AUTO_TEST_CASE(CompareMaxPooling2dWithReference, ComparePooling2dTest, PoolingAlgorithm::Max)
-ARMNN_COMPARE_REF_AUTO_TEST_CASE(CompareMaxPooling2dWithReferenceUint8, ComparePooling2dUint8Test,
-                                 PoolingAlgorithm::Max)
-ARMNN_COMPARE_REF_AUTO_TEST_CASE(CompareAveragePooling2dWithReference, ComparePooling2dTest,
-                                 PoolingAlgorithm::Average)
-ARMNN_COMPARE_REF_AUTO_TEST_CASE(CompareAveragePooling2dWithReferenceUint8, ComparePooling2dUint8Test,
-                                 PoolingAlgorithm::Average)
-ARMNN_COMPARE_REF_AUTO_TEST_CASE(CompareL2Pooling2dWithReference, ComparePooling2dTest, PoolingAlgorithm::L2)
-ARMNN_COMPARE_REF_AUTO_TEST_CASE(UNSUPPORTED_CompareL2Pooling2dWithReferenceUint8, ComparePooling2dUint8Test,
-                                 PoolingAlgorithm::L2)
+ARMNN_COMPARE_REF_AUTO_TEST_CASE_WITH_THF(CompareNormalizationWithinWithReference, CompareNormalizationTest,
+                                          NormalizationAlgorithmChannel::Within,
+                                          NormalizationAlgorithmMethod::LocalBrightness)
+ARMNN_COMPARE_REF_AUTO_TEST_CASE_WITH_THF(CompareNormalizationAcrossWithReference, CompareNormalizationTest,
+                                          NormalizationAlgorithmChannel::Across,
+                                          NormalizationAlgorithmMethod::LocalBrightness)
+
+ARMNN_COMPARE_REF_AUTO_TEST_CASE_WITH_THF(CompareMaxPooling2dWithReference, ComparePooling2dTest, PoolingAlgorithm::Max)
+ARMNN_COMPARE_REF_AUTO_TEST_CASE_WITH_THF(CompareMaxPooling2dWithReferenceUint8, ComparePooling2dUint8Test,
+                                          PoolingAlgorithm::Max)
+ARMNN_COMPARE_REF_AUTO_TEST_CASE_WITH_THF(CompareAveragePooling2dWithReference, ComparePooling2dTest,
+                                          PoolingAlgorithm::Average)
+ARMNN_COMPARE_REF_AUTO_TEST_CASE_WITH_THF(CompareAveragePooling2dWithReferenceUint8, ComparePooling2dUint8Test,
+                                          PoolingAlgorithm::Average)
+ARMNN_COMPARE_REF_AUTO_TEST_CASE_WITH_THF(CompareL2Pooling2dWithReference, ComparePooling2dTest, PoolingAlgorithm::L2)
+ARMNN_COMPARE_REF_AUTO_TEST_CASE_WITH_THF(UNSUPPORTED_CompareL2Pooling2dWithReferenceUint8, ComparePooling2dUint8Test,
+                                          PoolingAlgorithm::L2)
 
 ARMNN_COMPARE_REF_AUTO_TEST_CASE_WITH_THF(CompareSoftmaxBeta1WithReference, CompareSoftmaxTest, 1.0f)
 ARMNN_COMPARE_REF_AUTO_TEST_CASE_WITH_THF(CompareSoftmaxBeta2WithReference, CompareSoftmaxTest, 2.0f)
diff --git a/src/backends/reference/test/RefLayerTests.cpp b/src/backends/reference/test/RefLayerTests.cpp
index fd77d25f08..820450f911 100644
--- a/src/backends/reference/test/RefLayerTests.cpp
+++ b/src/backends/reference/test/RefLayerTests.cpp
@@ -370,81 +370,86 @@ ARMNN_AUTO_TEST_CASE_WITH_THF(DepthwiseConvolution2dPerAxisQuantTestNhwc, Depthw
 
 // Pooling
 //MaxPooling
-ARMNN_AUTO_TEST_CASE(SimpleMaxPooling2dSize2x2Stride2x2, SimpleMaxPooling2dSize2x2Stride2x2Test, false)
-ARMNN_AUTO_TEST_CASE(SimpleMaxPooling2dSize2x2Stride2x2Uint8, SimpleMaxPooling2dSize2x2Stride2x2Uint8Test, false)
-ARMNN_AUTO_TEST_CASE(SimpleMaxPooling2dSize2x2Stride2x2Int16, SimpleMaxPooling2dSize2x2Stride2x2Int16Test, false)
-
-ARMNN_AUTO_TEST_CASE(SimpleMaxPooling2dSize3x3Stride2x4, SimpleMaxPooling2dSize3x3Stride2x4Test, false)
-ARMNN_AUTO_TEST_CASE(SimpleMaxPooling2dSize3x3Stride2x4Uint8, SimpleMaxPooling2dSize3x3Stride2x4Uint8Test, false)
-ARMNN_AUTO_TEST_CASE(SimpleMaxPooling2dSize3x3Stride2x4Int16, SimpleMaxPooling2dSize3x3Stride2x4Int16Test, false)
-
-ARMNN_AUTO_TEST_CASE(SimpleMaxPooling2d, SimpleMaxPooling2dTest, DataLayout::NCHW)
-ARMNN_AUTO_TEST_CASE(SimpleMaxPooling2dNhwc, SimpleMaxPooling2dTest, DataLayout::NHWC)
-ARMNN_AUTO_TEST_CASE(SimpleMaxPooling2dUint8, SimpleMaxPooling2dUint8Test, DataLayout::NCHW)
-ARMNN_AUTO_TEST_CASE(SimpleMaxPooling2dInt16, SimpleMaxPooling2dInt16Test, DataLayout::NCHW)
-ARMNN_AUTO_TEST_CASE(SimpleMaxPooling2dUint8Nhwc, SimpleMaxPooling2dUint8Test, DataLayout::NHWC)
-ARMNN_AUTO_TEST_CASE(SimpleMaxPooling2dInt16Nhwc, SimpleMaxPooling2dInt16Test, DataLayout::NHWC)
-
-ARMNN_AUTO_TEST_CASE(IgnorePaddingSimpleMaxPooling2d, IgnorePaddingSimpleMaxPooling2dTest)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingSimpleMaxPooling2dUint8, IgnorePaddingSimpleMaxPooling2dUint8Test)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingSimpleMaxPooling2dInt16, IgnorePaddingSimpleMaxPooling2dInt16Test)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingMaxPooling2dSize3, IgnorePaddingMaxPooling2dSize3Test)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingMaxPooling2dSize3Uint8, IgnorePaddingMaxPooling2dSize3Uint8Test)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingMaxPooling2dSize3Int16, IgnorePaddingMaxPooling2dSize3Int16Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleMaxPooling2dSize2x2Stride2x2, SimpleMaxPooling2dSize2x2Stride2x2Test, false)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleMaxPooling2dSize2x2Stride2x2Uint8,
+                              SimpleMaxPooling2dSize2x2Stride2x2Uint8Test, false)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleMaxPooling2dSize2x2Stride2x2Int16,
+                              SimpleMaxPooling2dSize2x2Stride2x2Int16Test, false)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleMaxPooling2dSize3x3Stride2x4, SimpleMaxPooling2dSize3x3Stride2x4Test, false)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleMaxPooling2dSize3x3Stride2x4Uint8,
+                              SimpleMaxPooling2dSize3x3Stride2x4Uint8Test, false)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleMaxPooling2dSize3x3Stride2x4Int16,
+                              SimpleMaxPooling2dSize3x3Stride2x4Int16Test, false)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleMaxPooling2d, SimpleMaxPooling2dTest, DataLayout::NCHW)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleMaxPooling2dNhwc, SimpleMaxPooling2dTest, DataLayout::NHWC)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleMaxPooling2dUint8, SimpleMaxPooling2dUint8Test, DataLayout::NCHW)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleMaxPooling2dInt16, SimpleMaxPooling2dInt16Test, DataLayout::NCHW)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleMaxPooling2dUint8Nhwc, SimpleMaxPooling2dUint8Test, DataLayout::NHWC)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleMaxPooling2dInt16Nhwc, SimpleMaxPooling2dInt16Test, DataLayout::NHWC)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingSimpleMaxPooling2d, IgnorePaddingSimpleMaxPooling2dTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingSimpleMaxPooling2dUint8, IgnorePaddingSimpleMaxPooling2dUint8Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingSimpleMaxPooling2dInt16, IgnorePaddingSimpleMaxPooling2dInt16Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingMaxPooling2dSize3, IgnorePaddingMaxPooling2dSize3Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingMaxPooling2dSize3Uint8, IgnorePaddingMaxPooling2dSize3Uint8Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingMaxPooling2dSize3Int16, IgnorePaddingMaxPooling2dSize3Int16Test)
 
 //AveragePooling
-ARMNN_AUTO_TEST_CASE(SimpleAveragePooling2d, SimpleAveragePooling2dTest, DataLayout::NCHW)
-ARMNN_AUTO_TEST_CASE(SimpleAveragePooling2dNhwc, SimpleAveragePooling2dTest, DataLayout::NHWC)
-ARMNN_AUTO_TEST_CASE(SimpleAveragePooling2dUint8, SimpleAveragePooling2dUint8Test, DataLayout::NCHW)
-ARMNN_AUTO_TEST_CASE(SimpleAveragePooling2dInt16, SimpleAveragePooling2dInt16Test, DataLayout::NCHW)
-ARMNN_AUTO_TEST_CASE(SimpleAveragePooling2dUint8Nhwc, SimpleAveragePooling2dUint8Test, DataLayout::NHWC)
-ARMNN_AUTO_TEST_CASE(SimpleAveragePooling2dInt16Nhwc, SimpleAveragePooling2dInt16Test, DataLayout::NHWC)
-
-ARMNN_AUTO_TEST_CASE(IgnorePaddingSimpleAveragePooling2d, IgnorePaddingSimpleAveragePooling2dTest)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingSimpleAveragePooling2dUint8, IgnorePaddingSimpleAveragePooling2dUint8Test)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingSimpleAveragePooling2dInt16, IgnorePaddingSimpleAveragePooling2dInt16Test)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingSimpleAveragePooling2dNoPadding, IgnorePaddingSimpleAveragePooling2dNoPaddingTest)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingSimpleAveragePooling2dNoPaddingUint8,
-                     IgnorePaddingSimpleAveragePooling2dNoPaddingUint8Test)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingSimpleAveragePooling2dNoPaddingInt16,
-                     IgnorePaddingSimpleAveragePooling2dNoPaddingInt16Test)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingAveragePooling2dSize3, IgnorePaddingAveragePooling2dSize3Test)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingAveragePooling2dSize3Uint8, IgnorePaddingAveragePooling2dSize3Uint8Test)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingAveragePooling2dSize3Int16, IgnorePaddingAveragePooling2dSize3Int16Test)
-
-ARMNN_AUTO_TEST_CASE(IgnorePaddingAveragePooling2dSize3x2Stride2x2,
-                     IgnorePaddingAveragePooling2dSize3x2Stride2x2Test, false)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingAveragePooling2dSize3x2Stride2x2NoPadding,
-                     IgnorePaddingAveragePooling2dSize3x2Stride2x2Test, true)
-
-ARMNN_AUTO_TEST_CASE(LargeTensorsAveragePooling2d, LargeTensorsAveragePooling2dTest)
-ARMNN_AUTO_TEST_CASE(LargeTensorsAveragePooling2dUint8, LargeTensorsAveragePooling2dUint8Test)
-ARMNN_AUTO_TEST_CASE(LargeTensorsAveragePooling2dInt16, LargeTensorsAveragePooling2dInt16Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleAveragePooling2d, SimpleAveragePooling2dTest, DataLayout::NCHW)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleAveragePooling2dNhwc, SimpleAveragePooling2dTest, DataLayout::NHWC)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleAveragePooling2dUint8, SimpleAveragePooling2dUint8Test, DataLayout::NCHW)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleAveragePooling2dInt16, SimpleAveragePooling2dInt16Test, DataLayout::NCHW)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleAveragePooling2dUint8Nhwc, SimpleAveragePooling2dUint8Test, DataLayout::NHWC)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleAveragePooling2dInt16Nhwc, SimpleAveragePooling2dInt16Test, DataLayout::NHWC)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingSimpleAveragePooling2d, IgnorePaddingSimpleAveragePooling2dTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingSimpleAveragePooling2dUint8, IgnorePaddingSimpleAveragePooling2dUint8Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingSimpleAveragePooling2dInt16, IgnorePaddingSimpleAveragePooling2dInt16Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingSimpleAveragePooling2dNoPadding,
+                              IgnorePaddingSimpleAveragePooling2dNoPaddingTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingSimpleAveragePooling2dNoPaddingUint8,
+                              IgnorePaddingSimpleAveragePooling2dNoPaddingUint8Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingSimpleAveragePooling2dNoPaddingInt16,
+                              IgnorePaddingSimpleAveragePooling2dNoPaddingInt16Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingAveragePooling2dSize3, IgnorePaddingAveragePooling2dSize3Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingAveragePooling2dSize3Uint8, IgnorePaddingAveragePooling2dSize3Uint8Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingAveragePooling2dSize3Int16, IgnorePaddingAveragePooling2dSize3Int16Test)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingAveragePooling2dSize3x2Stride2x2,
+                              IgnorePaddingAveragePooling2dSize3x2Stride2x2Test, false)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingAveragePooling2dSize3x2Stride2x2NoPadding,
+                              IgnorePaddingAveragePooling2dSize3x2Stride2x2Test, true)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(LargeTensorsAveragePooling2d, LargeTensorsAveragePooling2dTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(LargeTensorsAveragePooling2dUint8, LargeTensorsAveragePooling2dUint8Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(LargeTensorsAveragePooling2dInt16, LargeTensorsAveragePooling2dInt16Test)
 
 //L2Pooling
-ARMNN_AUTO_TEST_CASE(IgnorePaddingSimpleL2Pooling2d, IgnorePaddingSimpleL2Pooling2dTest)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingSimpleL2Pooling2dUint8, IgnorePaddingSimpleL2Pooling2dUint8Test)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingSimpleL2Pooling2dInt16, IgnorePaddingSimpleL2Pooling2dInt16Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingSimpleL2Pooling2d, IgnorePaddingSimpleL2Pooling2dTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingSimpleL2Pooling2dUint8, IgnorePaddingSimpleL2Pooling2dUint8Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingSimpleL2Pooling2dInt16, IgnorePaddingSimpleL2Pooling2dInt16Test)
 
-ARMNN_AUTO_TEST_CASE(IgnorePaddingL2Pooling2dSize3, IgnorePaddingL2Pooling2dSize3Test)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingL2Pooling2dSize3Uint8, IgnorePaddingL2Pooling2dSize3Uint8Test)
-ARMNN_AUTO_TEST_CASE(IgnorePaddingL2Pooling2dSize3Int16, IgnorePaddingL2Pooling2dSize3Int16Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingL2Pooling2dSize3, IgnorePaddingL2Pooling2dSize3Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingL2Pooling2dSize3Uint8, IgnorePaddingL2Pooling2dSize3Uint8Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(IgnorePaddingL2Pooling2dSize3Int16, IgnorePaddingL2Pooling2dSize3Int16Test)
 
-ARMNN_AUTO_TEST_CASE(SimpleL2Pooling2d, SimpleL2Pooling2dTest, DataLayout::NCHW)
-ARMNN_AUTO_TEST_CASE(SimpleL2Pooling2dNhwc, SimpleL2Pooling2dTest, DataLayout::NHWC)
-ARMNN_AUTO_TEST_CASE(SimpleL2Pooling2dUint8, SimpleL2Pooling2dUint8Test, DataLayout::NCHW)
-ARMNN_AUTO_TEST_CASE(SimpleL2Pooling2dInt16, SimpleL2Pooling2dInt16Test, DataLayout::NCHW)
-ARMNN_AUTO_TEST_CASE(SimpleL2Pooling2dNhwcUint8, SimpleL2Pooling2dUint8Test, DataLayout::NHWC)
-ARMNN_AUTO_TEST_CASE(SimpleL2Pooling2dNhwcInt16, SimpleL2Pooling2dInt16Test, DataLayout::NHWC)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleL2Pooling2d, SimpleL2Pooling2dTest, DataLayout::NCHW)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleL2Pooling2dNhwc, SimpleL2Pooling2dTest, DataLayout::NHWC)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleL2Pooling2dUint8, SimpleL2Pooling2dUint8Test, DataLayout::NCHW)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleL2Pooling2dInt16, SimpleL2Pooling2dInt16Test, DataLayout::NCHW)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleL2Pooling2dNhwcUint8, SimpleL2Pooling2dUint8Test, DataLayout::NHWC)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleL2Pooling2dNhwcInt16, SimpleL2Pooling2dInt16Test, DataLayout::NHWC)
 
-ARMNN_AUTO_TEST_CASE(L2Pooling2dSize7, L2Pooling2dSize7Test)
-ARMNN_AUTO_TEST_CASE(L2Pooling2dSize7Uint8, L2Pooling2dSize7Uint8Test)
-ARMNN_AUTO_TEST_CASE(L2Pooling2dSize7Int16, L2Pooling2dSize7Int16Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(L2Pooling2dSize7, L2Pooling2dSize7Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(L2Pooling2dSize7Uint8, L2Pooling2dSize7Uint8Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(L2Pooling2dSize7Int16, L2Pooling2dSize7Int16Test)
 
 //NonSquarePooling
-ARMNN_AUTO_TEST_CASE(AsymmNonSquarePooling2d, AsymmetricNonSquarePooling2dTest)
-ARMNN_AUTO_TEST_CASE(AsymmNonSquarePooling2dUint8, AsymmetricNonSquarePooling2dUint8Test)
-ARMNN_AUTO_TEST_CASE(AsymmNonSquarePooling2dInt16, AsymmetricNonSquarePooling2dInt16Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(AsymmNonSquarePooling2d, AsymmetricNonSquarePooling2dTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(AsymmNonSquarePooling2dUint8, AsymmetricNonSquarePooling2dUint8Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(AsymmNonSquarePooling2dInt16, AsymmetricNonSquarePooling2dInt16Test)
 
 
 // Linear Activation
@@ -466,9 +471,9 @@ ARMNN_AUTO_TEST_CASE_WITH_THF(InstanceNormFloat32Nhwc2, InstanceNormFloat32Test2
 ARMNN_AUTO_TEST_CASE_WITH_THF(InstanceNormFloat16Nhwc2, InstanceNormFloat16Test2, DataLayout::NHWC);
 
 // Normalization
-ARMNN_AUTO_TEST_CASE(SimpleNormalizationAcross, SimpleNormalizationAcrossTest)
-ARMNN_AUTO_TEST_CASE(SimpleNormalizationWithin, SimpleNormalizationWithinTest)
-ARMNN_AUTO_TEST_CASE(SimpleNormalizationAcrossNhwc, SimpleNormalizationAcrossNhwcTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleNormalizationAcross, SimpleNormalizationAcrossTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleNormalizationWithin, SimpleNormalizationWithinTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleNormalizationAcrossNhwc, SimpleNormalizationAcrossNhwcTest)
 
 // Softmax
 ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleSoftmaxBeta1, SimpleSoftmaxTest, 1.0f)
@@ -1290,30 +1295,30 @@ ARMNN_AUTO_TEST_CASE_WITH_THF(LogSoftmaxFloat16_3, LogSoftmaxTest3<DataType::Flo
 ARMNN_AUTO_TEST_CASE_WITH_THF(LogSoftmaxFloat16_4, LogSoftmaxTest4<DataType::Float16>)
 
 // Pad
-ARMNN_AUTO_TEST_CASE(PadBFloat162d, PadBFloat162dTest)
-ARMNN_AUTO_TEST_CASE(PadBFloat162dCustomPadding, PadBFloat162dCustomPaddingTest)
-ARMNN_AUTO_TEST_CASE(PadBFloat163d, PadBFloat163dTest)
-ARMNN_AUTO_TEST_CASE(PadBFloat164d, PadBFloat164dTest)
-
-ARMNN_AUTO_TEST_CASE(PadFloat322d, PadFloat322dTest)
-ARMNN_AUTO_TEST_CASE(PadFloat322dCustomPadding, PadFloat322dCustomPaddingTest)
-ARMNN_AUTO_TEST_CASE(PadFloat323d, PadFloat323dTest)
-ARMNN_AUTO_TEST_CASE(PadFloat324d, PadFloat324dTest)
-
-ARMNN_AUTO_TEST_CASE(PadUint82d, PadUint82dTest)
-ARMNN_AUTO_TEST_CASE(PadUint82dCustomPadding, PadUint82dCustomPaddingTest)
-ARMNN_AUTO_TEST_CASE(PadUint83d, PadUint83dTest)
-ARMNN_AUTO_TEST_CASE(PadUint84d, PadUint84dTest)
-
-ARMNN_AUTO_TEST_CASE(Pad2dQSymm16, Pad2dTestCommon<DataType::QSymmS16>, 2.0f, 0, 0.0f)
-ARMNN_AUTO_TEST_CASE(Pad2dQSymm16CustomPadding, Pad2dTestCommon<DataType::QSymmS16>, 2.0f, 0, 1.0f)
-ARMNN_AUTO_TEST_CASE(Pad3dQSymm16, Pad3dTestCommon<DataType::QSymmS16>, 2.0f, 0)
-ARMNN_AUTO_TEST_CASE(Pad4dQSymm16, Pad4dTestCommon<DataType::QSymmS16>, 2.0f, 0)
-
-ARMNN_AUTO_TEST_CASE(PadInt82d, PadInt82dTest)
-ARMNN_AUTO_TEST_CASE(PadInt82dCustomPadding, PadInt82dCustomPaddingTest)
-ARMNN_AUTO_TEST_CASE(PadInt83d, PadInt83dTest)
-ARMNN_AUTO_TEST_CASE(PadInt84d, PadInt84dTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PadBFloat162d, PadBFloat162dTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PadBFloat162dCustomPadding, PadBFloat162dCustomPaddingTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PadBFloat163d, PadBFloat163dTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PadBFloat164d, PadBFloat164dTest)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(PadFloat322d, PadFloat322dTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PadFloat322dCustomPadding, PadFloat322dCustomPaddingTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PadFloat323d, PadFloat323dTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PadFloat324d, PadFloat324dTest)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(PadUint82d, PadUint82dTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PadUint82dCustomPadding, PadUint82dCustomPaddingTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PadUint83d, PadUint83dTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PadUint84d, PadUint84dTest)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(Pad2dQSymm16, Pad2dTestCommon<DataType::QSymmS16>, 2.0f, 0, 0.0f)
+ARMNN_AUTO_TEST_CASE_WITH_THF(Pad2dQSymm16CustomPadding, Pad2dTestCommon<DataType::QSymmS16>, 2.0f, 0, 1.0f)
+ARMNN_AUTO_TEST_CASE_WITH_THF(Pad3dQSymm16, Pad3dTestCommon<DataType::QSymmS16>, 2.0f, 0)
+ARMNN_AUTO_TEST_CASE_WITH_THF(Pad4dQSymm16, Pad4dTestCommon<DataType::QSymmS16>, 2.0f, 0)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(PadInt82d, PadInt82dTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PadInt82dCustomPadding, PadInt82dCustomPaddingTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PadInt83d, PadInt83dTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PadInt84d, PadInt84dTest)
 
 // Constant
 ARMNN_AUTO_TEST_CASE_WITH_THF(Constant, ConstantTest)
@@ -1397,26 +1402,26 @@ ARMNN_AUTO_TEST_CASE(Rsqrt2dQuantisedSymm16, Rsqrt2dTest<DataType::QSymmS16>)
 ARMNN_AUTO_TEST_CASE(Rsqrt3dQuantisedSymm16, Rsqrt3dTest<DataType::QSymmS16>)
 
 // Permute
-ARMNN_AUTO_TEST_CASE(SimplePermuteBFloat16, SimplePermuteTest<DataType::BFloat16>)
-ARMNN_AUTO_TEST_CASE(PermuteBFloat16ValueSet1Test, PermuteValueSet1Test<DataType::BFloat16>)
-ARMNN_AUTO_TEST_CASE(PermuteBFloat16ValueSet2Test, PermuteValueSet2Test<DataType::BFloat16>)
-ARMNN_AUTO_TEST_CASE(PermuteBFloat16ValueSet3Test, PermuteValueSet3Test<DataType::BFloat16>)
-ARMNN_AUTO_TEST_CASE(SimplePermuteFloat32, SimplePermuteTest<DataType::Float32>)
-ARMNN_AUTO_TEST_CASE(PermuteFloat32ValueSet1Test, PermuteValueSet1Test<DataType::Float32>)
-ARMNN_AUTO_TEST_CASE(PermuteFloat32ValueSet2Test, PermuteValueSet2Test<DataType::Float32>)
-ARMNN_AUTO_TEST_CASE(PermuteFloat32ValueSet3Test, PermuteValueSet3Test<DataType::Float32>)
-ARMNN_AUTO_TEST_CASE(SimplePermuteQASymS8, SimplePermuteTest<DataType::QAsymmS8>)
-ARMNN_AUTO_TEST_CASE(PermuteQASymmS8ValueSet1Test, PermuteValueSet1Test<DataType::QAsymmS8>)
-ARMNN_AUTO_TEST_CASE(PermuteQASymmS8ValueSet2Test, PermuteValueSet2Test<DataType::QAsymmS8>)
-ARMNN_AUTO_TEST_CASE(PermuteQASymmS8ValueSet3Test, PermuteValueSet3Test<DataType::QAsymmS8>)
-ARMNN_AUTO_TEST_CASE(SimplePermuteQASymm8, SimplePermuteTest<DataType::QAsymmU8>)
-ARMNN_AUTO_TEST_CASE(PermuteQASymm8ValueSet1Test, PermuteValueSet1Test<DataType::QAsymmU8>)
-ARMNN_AUTO_TEST_CASE(PermuteQASymm8ValueSet2Test, PermuteValueSet2Test<DataType::QAsymmU8>)
-ARMNN_AUTO_TEST_CASE(PermuteQASymm8ValueSet3Test, PermuteValueSet3Test<DataType::QAsymmU8>)
-ARMNN_AUTO_TEST_CASE(SimplePermuteQSymm16, SimplePermuteTest<DataType::QSymmS16>)
-ARMNN_AUTO_TEST_CASE(PermuteQSymm16ValueSet1Test, PermuteValueSet1Test<DataType::QSymmS16>)
-ARMNN_AUTO_TEST_CASE(PermuteQSymm16ValueSet2Test, PermuteValueSet2Test<DataType::QSymmS16>)
-ARMNN_AUTO_TEST_CASE(PermuteQSymm16ValueSet3Test, PermuteValueSet3Test<DataType::QSymmS16>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimplePermuteBFloat16, SimplePermuteTest<DataType::BFloat16>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PermuteBFloat16ValueSet1Test, PermuteValueSet1Test<DataType::BFloat16>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PermuteBFloat16ValueSet2Test, PermuteValueSet2Test<DataType::BFloat16>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PermuteBFloat16ValueSet3Test, PermuteValueSet3Test<DataType::BFloat16>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimplePermuteFloat32, SimplePermuteTest<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PermuteFloat32ValueSet1Test, PermuteValueSet1Test<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PermuteFloat32ValueSet2Test, PermuteValueSet2Test<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PermuteFloat32ValueSet3Test, PermuteValueSet3Test<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimplePermuteQASymS8, SimplePermuteTest<DataType::QAsymmS8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PermuteQASymmS8ValueSet1Test, PermuteValueSet1Test<DataType::QAsymmS8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PermuteQASymmS8ValueSet2Test, PermuteValueSet2Test<DataType::QAsymmS8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PermuteQASymmS8ValueSet3Test, PermuteValueSet3Test<DataType::QAsymmS8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimplePermuteQASymm8, SimplePermuteTest<DataType::QAsymmU8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PermuteQASymm8ValueSet1Test, PermuteValueSet1Test<DataType::QAsymmU8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PermuteQASymm8ValueSet2Test, PermuteValueSet2Test<DataType::QAsymmU8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PermuteQASymm8ValueSet3Test, PermuteValueSet3Test<DataType::QAsymmU8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(SimplePermuteQSymm16, SimplePermuteTest<DataType::QSymmS16>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PermuteQSymm16ValueSet1Test, PermuteValueSet1Test<DataType::QSymmS16>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PermuteQSymm16ValueSet2Test, PermuteValueSet2Test<DataType::QSymmS16>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PermuteQSymm16ValueSet3Test, PermuteValueSet3Test<DataType::QSymmS16>)
 
 // Lstm
 BOOST_AUTO_TEST_CASE(LstmUtilsZeroVector) {
@@ -1466,37 +1471,37 @@ ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleConvertFp16ToFp32, SimpleConvertFp16ToFp32Te
 ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleConvertFp32ToFp16, SimpleConvertFp32ToFp16Test)
 
 // Mean
-ARMNN_AUTO_TEST_CASE(MeanSimpleFloat32, MeanSimpleTest<DataType::Float32>)
-ARMNN_AUTO_TEST_CASE(MeanSimpleAxisFloat32, MeanSimpleAxisTest<DataType::Float32>)
-ARMNN_AUTO_TEST_CASE(MeanKeepDimsFloat32, MeanKeepDimsTest<DataType::Float32>)
-ARMNN_AUTO_TEST_CASE(MeanMultipleDimsFloat32, MeanMultipleDimsTest<DataType::Float32>)
-ARMNN_AUTO_TEST_CASE(MeanVts1Float32, MeanVts1Test<DataType::Float32>)
-ARMNN_AUTO_TEST_CASE(MeanVts2Float32, MeanVts2Test<DataType::Float32>)
-ARMNN_AUTO_TEST_CASE(MeanVts3Float32, MeanVts3Test<DataType::Float32>)
-
-ARMNN_AUTO_TEST_CASE(MeanSimpleQuantisedAsymmS8, MeanSimpleTest<DataType::QAsymmS8>)
-ARMNN_AUTO_TEST_CASE(MeanSimpleAxisQuantisedAsymmS8, MeanSimpleAxisTest<DataType::QAsymmS8>)
-ARMNN_AUTO_TEST_CASE(MeanKeepDimsQuantisedAsymmS8, MeanKeepDimsTest<DataType::QAsymmS8>)
-ARMNN_AUTO_TEST_CASE(MeanMultipleDimsQuantisedAsymmS8, MeanMultipleDimsTest<DataType::QAsymmS8>)
-ARMNN_AUTO_TEST_CASE(MeanVts1QuantisedAsymmS8, MeanVts1Test<DataType::QAsymmS8>)
-ARMNN_AUTO_TEST_CASE(MeanVts2QuantisedAsymmS8, MeanVts2Test<DataType::QAsymmS8>)
-ARMNN_AUTO_TEST_CASE(MeanVts3QuantisedAsymmS8, MeanVts3Test<DataType::QAsymmS8>)
-
-ARMNN_AUTO_TEST_CASE(MeanSimpleQuantisedAsymm8, MeanSimpleTest<DataType::QAsymmU8>)
-ARMNN_AUTO_TEST_CASE(MeanSimpleAxisQuantisedAsymm8, MeanSimpleAxisTest<DataType::QAsymmU8>)
-ARMNN_AUTO_TEST_CASE(MeanKeepDimsQuantisedAsymm8, MeanKeepDimsTest<DataType::QAsymmU8>)
-ARMNN_AUTO_TEST_CASE(MeanMultipleDimsQuantisedAsymm8, MeanMultipleDimsTest<DataType::QAsymmU8>)
-ARMNN_AUTO_TEST_CASE(MeanVts1QuantisedAsymm8, MeanVts1Test<DataType::QAsymmU8>)
-ARMNN_AUTO_TEST_CASE(MeanVts2QuantisedAsymm8, MeanVts2Test<DataType::QAsymmU8>)
-ARMNN_AUTO_TEST_CASE(MeanVts3QuantisedAsymm8, MeanVts3Test<DataType::QAsymmU8>)
-
-ARMNN_AUTO_TEST_CASE(MeanSimpleQuantisedSymm16, MeanSimpleTest<DataType::QSymmS16>)
-ARMNN_AUTO_TEST_CASE(MeanSimpleAxisQuantisedSymm16, MeanSimpleAxisTest<DataType::QSymmS16>)
-ARMNN_AUTO_TEST_CASE(MeanKeepDimsQuantisedSymm16, MeanKeepDimsTest<DataType::QSymmS16>)
-ARMNN_AUTO_TEST_CASE(MeanMultipleDimsQuantisedSymm16, MeanMultipleDimsTest<DataType::QSymmS16>)
-ARMNN_AUTO_TEST_CASE(MeanVts1QuantisedSymm16, MeanVts1Test<DataType::QSymmS16>)
-ARMNN_AUTO_TEST_CASE(MeanVts2QuantisedSymm16, MeanVts2Test<DataType::QSymmS16>)
-ARMNN_AUTO_TEST_CASE(MeanVts3QuantisedSymm16, MeanVts3Test<DataType::QSymmS16>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanSimpleFloat32, MeanSimpleTest<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanSimpleAxisFloat32, MeanSimpleAxisTest<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanKeepDimsFloat32, MeanKeepDimsTest<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanMultipleDimsFloat32, MeanMultipleDimsTest<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanVts1Float32, MeanVts1Test<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanVts2Float32, MeanVts2Test<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanVts3Float32, MeanVts3Test<DataType::Float32>)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanSimpleQuantisedAsymmS8, MeanSimpleTest<DataType::QAsymmS8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanSimpleAxisQuantisedAsymmS8, MeanSimpleAxisTest<DataType::QAsymmS8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanKeepDimsQuantisedAsymmS8, MeanKeepDimsTest<DataType::QAsymmS8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanMultipleDimsQuantisedAsymmS8, MeanMultipleDimsTest<DataType::QAsymmS8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanVts1QuantisedAsymmS8, MeanVts1Test<DataType::QAsymmS8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanVts2QuantisedAsymmS8, MeanVts2Test<DataType::QAsymmS8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanVts3QuantisedAsymmS8, MeanVts3Test<DataType::QAsymmS8>)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanSimpleQuantisedAsymm8, MeanSimpleTest<DataType::QAsymmU8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanSimpleAxisQuantisedAsymm8, MeanSimpleAxisTest<DataType::QAsymmU8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanKeepDimsQuantisedAsymm8, MeanKeepDimsTest<DataType::QAsymmU8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanMultipleDimsQuantisedAsymm8, MeanMultipleDimsTest<DataType::QAsymmU8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanVts1QuantisedAsymm8, MeanVts1Test<DataType::QAsymmU8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanVts2QuantisedAsymm8, MeanVts2Test<DataType::QAsymmU8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanVts3QuantisedAsymm8, MeanVts3Test<DataType::QAsymmU8>)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanSimpleQuantisedSymm16, MeanSimpleTest<DataType::QSymmS16>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanSimpleAxisQuantisedSymm16, MeanSimpleAxisTest<DataType::QSymmS16>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanKeepDimsQuantisedSymm16, MeanKeepDimsTest<DataType::QSymmS16>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanMultipleDimsQuantisedSymm16, MeanMultipleDimsTest<DataType::QSymmS16>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanVts1QuantisedSymm16, MeanVts1Test<DataType::QSymmS16>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanVts2QuantisedSymm16, MeanVts2Test<DataType::QSymmS16>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(MeanVts3QuantisedSymm16, MeanVts3Test<DataType::QSymmS16>)
 
 ARMNN_AUTO_TEST_CASE(AdditionAfterMaxPool, AdditionAfterMaxPoolTest)
 
@@ -1899,10 +1904,10 @@ ARMNN_AUTO_TEST_CASE(QuantizeClampInt8, QuantizeClampInt8Test)
 ARMNN_AUTO_TEST_CASE(QuantizeClampInt16, QuantizeClampInt16Test)
 
 // PReLU
-ARMNN_AUTO_TEST_CASE(PreluFloat32, PreluTest<RefWorkloadFactory, DataType::Float32>)
-ARMNN_AUTO_TEST_CASE(PreluFloat16, PreluTest<RefWorkloadFactory, DataType::Float16>)
-ARMNN_AUTO_TEST_CASE(PreluUint8,   PreluTest<RefWorkloadFactory, DataType::QAsymmU8>)
-ARMNN_AUTO_TEST_CASE(PreluInt16,   PreluTest<RefWorkloadFactory, DataType::QSymmS16>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PreluFloat32, PreluTest<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PreluFloat16, PreluTest<DataType::Float16>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PreluUint8,   PreluTest<DataType::QAsymmU8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(PreluInt16,   PreluTest<DataType::QSymmS16>)
 
 // Slice
 ARMNN_AUTO_TEST_CASE(Slice4dFloat32, Slice4dFloat32Test)