From f500d6c22c7799dcc6b057d560fb88947ac63e6a Mon Sep 17 00:00:00 2001
From: Keith Davis <keith.davis@arm.com>
Date: Mon, 31 Aug 2020 08:32:55 +0100
Subject: IVGCVSW-5249 Use CreateTensorHandle from ITensorHandleFactory in the
 test for all layers between C-D

Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: I9583adf50e67e63e73833f400d1c50fbff57f60c
---
 .../test/layerTests/ComparisonTestImpl.cpp         | 233 +++++++++----
 .../test/layerTests/ComparisonTestImpl.hpp         | 162 ++++++---
 .../test/layerTests/ConcatTestImpl.cpp             | 383 +++++++++++++--------
 .../test/layerTests/ConcatTestImpl.hpp             | 119 +++++--
 .../test/layerTests/ConstantTestImpl.cpp           |  32 +-
 .../test/layerTests/ConstantTestImpl.hpp           |  15 +-
 .../test/layerTests/Conv2dTestImpl.cpp             | 266 +++++++++-----
 .../test/layerTests/Conv2dTestImpl.hpp             |  47 ++-
 .../test/layerTests/ConvertBf16ToFp32TestImpl.cpp  |   9 +-
 .../test/layerTests/ConvertBf16ToFp32TestImpl.hpp  |   3 +-
 .../test/layerTests/ConvertFp16ToFp32TestImpl.cpp  |  11 +-
 .../test/layerTests/ConvertFp16ToFp32TestImpl.hpp  |   3 +-
 .../test/layerTests/ConvertFp32ToBf16TestImpl.cpp  |  11 +-
 .../test/layerTests/ConvertFp32ToBf16TestImpl.hpp  |   3 +-
 .../test/layerTests/ConvertFp32ToFp16TestImpl.cpp  |  11 +-
 .../test/layerTests/ConvertFp32ToFp16TestImpl.hpp  |   3 +-
 16 files changed, 890 insertions(+), 421 deletions(-)

(limited to 'src/backends/backendsCommon')

diff --git a/src/backends/backendsCommon/test/layerTests/ComparisonTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/ComparisonTestImpl.cpp
index 9c83b9d06c..be44234b76 100644
--- a/src/backends/backendsCommon/test/layerTests/ComparisonTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/ComparisonTestImpl.cpp
@@ -26,7 +26,8 @@ template <std::size_t NumDims,
           typename InType = armnn::ResolveType<ArmnnInType>>
 LayerTestResult<uint8_t, NumDims> ComparisonTestImpl(
     armnn::IWorkloadFactory & workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const armnn::ComparisonDescriptor& descriptor,
     const armnn::TensorShape& shape0,
     std::vector<InType> values0,
@@ -56,11 +57,9 @@ LayerTestResult<uint8_t, NumDims> ComparisonTestImpl(
 
     LayerTestResult<uint8_t, NumDims> ret(outputTensorInfo);
 
-    ARMNN_NO_DEPRECATE_WARN_BEGIN
-    std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0);
-    std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1);
-    std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
-    ARMNN_NO_DEPRECATE_WARN_END
+    std::unique_ptr<armnn::ITensorHandle> inputHandle0 = tensorHandleFactory.CreateTensorHandle(inputTensorInfo0);
+    std::unique_ptr<armnn::ITensorHandle> inputHandle1 = tensorHandleFactory.CreateTensorHandle(inputTensorInfo1);
+    std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo);
 
     armnn::ComparisonQueueDescriptor qDescriptor;
     qDescriptor.m_Parameters = descriptor;
@@ -95,7 +94,8 @@ template <std::size_t NumDims,
           typename InType = armnn::ResolveType<ArmnnInType>>
 LayerTestResult<uint8_t, NumDims> ComparisonTestImpl(
     armnn::IWorkloadFactory & workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const armnn::ComparisonDescriptor& descriptor,
     const armnn::TensorShape& shape0,
     std::vector<InType> values0,
@@ -109,6 +109,7 @@ LayerTestResult<uint8_t, NumDims> ComparisonTestImpl(
     return ComparisonTestImpl<NumDims, ArmnnInType>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         descriptor,
         shape0,
         values0,
@@ -148,6 +149,7 @@ std::vector<uint8_t> GetExpectedOutputData(const TestData& testData, armnn::Comp
 template<armnn::DataType ArmnnInType, typename TestData>
 LayerTestResult<uint8_t, 4> ComparisonTestImpl(armnn::IWorkloadFactory& workloadFactory,
                                                const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+                                               const armnn::ITensorHandleFactory& tensorHandleFactory,
                                                const TestData& testData,
                                                armnn::ComparisonOperation operation,
                                                float quantScale = 1.f,
@@ -161,6 +163,7 @@ LayerTestResult<uint8_t, 4> ComparisonTestImpl(armnn::IWorkloadFactory& workload
     return ComparisonTestImpl<4, ArmnnInType>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         armnn::ComparisonDescriptor(operation),
         testData.m_InputShape0,
         inputData0,
@@ -339,198 +342,234 @@ static Broadcast1dVectorTestData s_Broadcast1dVectorTestData;
 
 // Equal
 LayerTestResult<uint8_t, 4> EqualSimpleTest(armnn::IWorkloadFactory& workloadFactory,
-                                            const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+                                            const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+                                            const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::Float32>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_SimpleTestData,
         armnn::ComparisonOperation::Equal);
 }
 
 LayerTestResult<uint8_t, 4> EqualBroadcast1ElementTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::Float32>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_Broadcast1ElementTestData,
         armnn::ComparisonOperation::Equal);
 }
 
 LayerTestResult<uint8_t, 4> EqualBroadcast1dVectorTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::Float32>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_Broadcast1dVectorTestData,
         armnn::ComparisonOperation::Equal);
 }
 
 LayerTestResult<uint8_t, 4> EqualSimpleFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::Float16>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_SimpleTestData,
         armnn::ComparisonOperation::Equal);
 }
 
 LayerTestResult<uint8_t, 4> EqualBroadcast1ElementFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::Float16>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_Broadcast1ElementTestData,
         armnn::ComparisonOperation::Equal);
 }
 
 LayerTestResult<uint8_t, 4> EqualBroadcast1dVectorFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::Float16>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_Broadcast1dVectorTestData,
         armnn::ComparisonOperation::Equal);
 }
 
 LayerTestResult<uint8_t, 4> EqualSimpleUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::QAsymmU8>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_SimpleTestData,
         armnn::ComparisonOperation::Equal);
 }
 
 LayerTestResult<uint8_t, 4> EqualBroadcast1ElementUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::QAsymmU8>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_Broadcast1ElementTestData,
         armnn::ComparisonOperation::Equal);
 }
 
 LayerTestResult<uint8_t, 4> EqualBroadcast1dVectorUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::QAsymmU8>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_Broadcast1dVectorTestData,
         armnn::ComparisonOperation::Equal);
 }
 
 // Greater
 LayerTestResult<uint8_t, 4> GreaterSimpleTest(armnn::IWorkloadFactory& workloadFactory,
-                                              const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+                                              const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+                                              const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::Float32>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_SimpleTestData,
         armnn::ComparisonOperation::Greater);
 }
 
 LayerTestResult<uint8_t, 4> GreaterBroadcast1ElementTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::Float32>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_Broadcast1ElementTestData,
         armnn::ComparisonOperation::Greater);
 }
 
 LayerTestResult<uint8_t, 4> GreaterBroadcast1dVectorTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::Float32>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_Broadcast1dVectorTestData,
         armnn::ComparisonOperation::Greater);
 }
 
 LayerTestResult<uint8_t, 4> GreaterSimpleFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::Float16>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_SimpleTestData,
         armnn::ComparisonOperation::Greater);
 }
 
 LayerTestResult<uint8_t, 4> GreaterBroadcast1ElementFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::Float16>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_Broadcast1ElementTestData,
         armnn::ComparisonOperation::Greater);
 }
 
 LayerTestResult<uint8_t, 4> GreaterBroadcast1dVectorFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::Float16>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_Broadcast1dVectorTestData,
         armnn::ComparisonOperation::Greater);
 }
 
 LayerTestResult<uint8_t, 4> GreaterSimpleUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::QAsymmU8>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_SimpleTestData,
         armnn::ComparisonOperation::Greater);
 }
 
 LayerTestResult<uint8_t, 4> GreaterBroadcast1ElementUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::QAsymmU8>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_Broadcast1ElementTestData,
         armnn::ComparisonOperation::Greater);
 }
 
 LayerTestResult<uint8_t, 4> GreaterBroadcast1dVectorUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::QAsymmU8>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_Broadcast1dVectorTestData,
         armnn::ComparisonOperation::Greater);
 }
@@ -538,198 +577,234 @@ LayerTestResult<uint8_t, 4> GreaterBroadcast1dVectorUint8Test(
 // GreaterOrEqual
 LayerTestResult<uint8_t, 4> GreaterOrEqualSimpleTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::Float32>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_SimpleTestData,
         armnn::ComparisonOperation::GreaterOrEqual);
 }
 
 LayerTestResult<uint8_t, 4> GreaterOrEqualBroadcast1ElementTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::Float32>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_Broadcast1ElementTestData,
         armnn::ComparisonOperation::GreaterOrEqual);
 }
 
 LayerTestResult<uint8_t, 4> GreaterOrEqualBroadcast1dVectorTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::Float32>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_Broadcast1dVectorTestData,
         armnn::ComparisonOperation::GreaterOrEqual);
 }
 
 LayerTestResult<uint8_t, 4> GreaterOrEqualSimpleFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::Float16>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_SimpleTestData,
         armnn::ComparisonOperation::GreaterOrEqual);
 }
 
 LayerTestResult<uint8_t, 4> GreaterOrEqualBroadcast1ElementFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::Float16>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_Broadcast1ElementTestData,
         armnn::ComparisonOperation::GreaterOrEqual);
 }
 
 LayerTestResult<uint8_t, 4> GreaterOrEqualBroadcast1dVectorFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::Float16>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_Broadcast1dVectorTestData,
         armnn::ComparisonOperation::GreaterOrEqual);
 }
 
 LayerTestResult<uint8_t, 4> GreaterOrEqualSimpleUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::QAsymmU8>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_SimpleTestData,
         armnn::ComparisonOperation::GreaterOrEqual);
 }
 
 LayerTestResult<uint8_t, 4> GreaterOrEqualBroadcast1ElementUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::QAsymmU8>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_Broadcast1ElementTestData,
         armnn::ComparisonOperation::GreaterOrEqual);
 }
 
 LayerTestResult<uint8_t, 4> GreaterOrEqualBroadcast1dVectorUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::QAsymmU8>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_Broadcast1dVectorTestData,
         armnn::ComparisonOperation::GreaterOrEqual);
 }
 
 // Less
 LayerTestResult<uint8_t, 4> LessSimpleTest(armnn::IWorkloadFactory& workloadFactory,
-                                           const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+                                           const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+                                           const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::Float32>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_SimpleTestData,
         armnn::ComparisonOperation::Less);
 }
 
 LayerTestResult<uint8_t, 4> LessBroadcast1ElementTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::Float32>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_Broadcast1ElementTestData,
         armnn::ComparisonOperation::Less);
 }
 
 LayerTestResult<uint8_t, 4> LessBroadcast1dVectorTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::Float32>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_Broadcast1dVectorTestData,
         armnn::ComparisonOperation::Less);
 }
 
 LayerTestResult<uint8_t, 4> LessSimpleFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::Float16>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_SimpleTestData,
         armnn::ComparisonOperation::Less);
 }
 
 LayerTestResult<uint8_t, 4> LessBroadcast1ElementFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::Float16>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_Broadcast1ElementTestData,
         armnn::ComparisonOperation::Less);
 }
 
 LayerTestResult<uint8_t, 4> LessBroadcast1dVectorFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::Float16>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_Broadcast1dVectorTestData,
         armnn::ComparisonOperation::Less);
 }
 
 LayerTestResult<uint8_t, 4> LessSimpleUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::QAsymmU8>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_SimpleTestData,
         armnn::ComparisonOperation::Less);
 }
 
 LayerTestResult<uint8_t, 4> LessBroadcast1ElementUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::QAsymmU8>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_Broadcast1ElementTestData,
         armnn::ComparisonOperation::Less);
 }
 
 LayerTestResult<uint8_t, 4> LessBroadcast1dVectorUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::QAsymmU8>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_Broadcast1dVectorTestData,
         armnn::ComparisonOperation::Less);
 }
@@ -737,99 +812,117 @@ LayerTestResult<uint8_t, 4> LessBroadcast1dVectorUint8Test(
 // LessOrEqual
 LayerTestResult<uint8_t, 4> LessOrEqualSimpleTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::Float32>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_SimpleTestData,
         armnn::ComparisonOperation::LessOrEqual);
 }
 
 LayerTestResult<uint8_t, 4> LessOrEqualBroadcast1ElementTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::Float32>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_Broadcast1ElementTestData,
         armnn::ComparisonOperation::LessOrEqual);
 }
 
 LayerTestResult<uint8_t, 4> LessOrEqualBroadcast1dVectorTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::Float32>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_Broadcast1dVectorTestData,
         armnn::ComparisonOperation::LessOrEqual);
 }
 
 LayerTestResult<uint8_t, 4> LessOrEqualSimpleFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::Float16>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_SimpleTestData,
         armnn::ComparisonOperation::LessOrEqual);
 }
 
 LayerTestResult<uint8_t, 4> LessOrEqualBroadcast1ElementFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::Float16>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_Broadcast1ElementTestData,
         armnn::ComparisonOperation::LessOrEqual);
 }
 
 LayerTestResult<uint8_t, 4> LessOrEqualBroadcast1dVectorFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::Float16>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_Broadcast1dVectorTestData,
         armnn::ComparisonOperation::LessOrEqual);
 }
 
 LayerTestResult<uint8_t, 4> LessOrEqualSimpleUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::QAsymmU8>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_SimpleTestData,
         armnn::ComparisonOperation::LessOrEqual);
 }
 
 LayerTestResult<uint8_t, 4> LessOrEqualBroadcast1ElementUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::QAsymmU8>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_Broadcast1ElementTestData,
         armnn::ComparisonOperation::LessOrEqual);
 }
 
 LayerTestResult<uint8_t, 4> LessOrEqualBroadcast1dVectorUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::QAsymmU8>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_Broadcast1dVectorTestData,
         armnn::ComparisonOperation::LessOrEqual);
 }
@@ -837,99 +930,117 @@ LayerTestResult<uint8_t, 4> LessOrEqualBroadcast1dVectorUint8Test(
 // NotEqual
 LayerTestResult<uint8_t, 4> NotEqualSimpleTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::Float32>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_SimpleTestData,
         armnn::ComparisonOperation::NotEqual);
 }
 
 LayerTestResult<uint8_t, 4> NotEqualBroadcast1ElementTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::Float32>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_Broadcast1ElementTestData,
         armnn::ComparisonOperation::NotEqual);
 }
 
 LayerTestResult<uint8_t, 4> NotEqualBroadcast1dVectorTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::Float32>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_Broadcast1dVectorTestData,
         armnn::ComparisonOperation::NotEqual);
 }
 
 LayerTestResult<uint8_t, 4> NotEqualSimpleFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::Float16>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_SimpleTestData,
         armnn::ComparisonOperation::NotEqual);
 }
 
 LayerTestResult<uint8_t, 4> NotEqualBroadcast1ElementFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::Float16>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_Broadcast1ElementTestData,
         armnn::ComparisonOperation::NotEqual);
 }
 
 LayerTestResult<uint8_t, 4> NotEqualBroadcast1dVectorFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::Float16>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_Broadcast1dVectorTestData,
         armnn::ComparisonOperation::NotEqual);
 }
 
 LayerTestResult<uint8_t, 4> NotEqualSimpleUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::QAsymmU8>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_SimpleTestData,
         armnn::ComparisonOperation::NotEqual);
 }
 
 LayerTestResult<uint8_t, 4> NotEqualBroadcast1ElementUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::QAsymmU8>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_Broadcast1ElementTestData,
         armnn::ComparisonOperation::NotEqual);
 }
 
 LayerTestResult<uint8_t, 4> NotEqualBroadcast1dVectorUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return ComparisonTestImpl<armnn::DataType::QAsymmU8>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         s_Broadcast1dVectorTestData,
         armnn::ComparisonOperation::NotEqual);
 }
diff --git a/src/backends/backendsCommon/test/layerTests/ComparisonTestImpl.hpp b/src/backends/backendsCommon/test/layerTests/ComparisonTestImpl.hpp
index d53c62305a..301241785b 100644
--- a/src/backends/backendsCommon/test/layerTests/ComparisonTestImpl.hpp
+++ b/src/backends/backendsCommon/test/layerTests/ComparisonTestImpl.hpp
@@ -13,221 +13,275 @@
 // Equal
 LayerTestResult<uint8_t, 4> EqualSimpleTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> EqualBroadcast1ElementTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> EqualBroadcast1dVectorTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> EqualSimpleFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> EqualBroadcast1ElementFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> EqualBroadcast1dVectorFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> EqualSimpleUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> EqualBroadcast1ElementUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> EqualBroadcast1dVectorUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 // Greater
 LayerTestResult<uint8_t, 4> GreaterSimpleTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> GreaterBroadcast1ElementTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> GreaterBroadcast1dVectorTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> GreaterSimpleFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> GreaterBroadcast1ElementFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> GreaterBroadcast1dVectorFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> GreaterSimpleUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> GreaterBroadcast1ElementUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> GreaterBroadcast1dVectorUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 // GreaterOrEqual
 LayerTestResult<uint8_t, 4> GreaterOrEqualSimpleTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> GreaterOrEqualBroadcast1ElementTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> GreaterOrEqualBroadcast1dVectorTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> GreaterOrEqualSimpleFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> GreaterOrEqualBroadcast1ElementFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> GreaterOrEqualBroadcast1dVectorFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> GreaterOrEqualSimpleUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> GreaterOrEqualBroadcast1ElementUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> GreaterOrEqualBroadcast1dVectorUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 // Less
 LayerTestResult<uint8_t, 4> LessSimpleTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> LessBroadcast1ElementTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> LessBroadcast1dVectorTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> LessSimpleFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> LessBroadcast1ElementFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> LessBroadcast1dVectorFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> LessSimpleUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> LessBroadcast1ElementUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> LessBroadcast1dVectorUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 // LessOrEqual
 LayerTestResult<uint8_t, 4> LessOrEqualSimpleTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> LessOrEqualBroadcast1ElementTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> LessOrEqualBroadcast1dVectorTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> LessOrEqualSimpleFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> LessOrEqualBroadcast1ElementFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> LessOrEqualBroadcast1dVectorFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> LessOrEqualSimpleUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> LessOrEqualBroadcast1ElementUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> LessOrEqualBroadcast1dVectorUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 // NotEqual
 LayerTestResult<uint8_t, 4> NotEqualSimpleTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> NotEqualBroadcast1ElementTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> NotEqualBroadcast1dVectorTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> NotEqualSimpleFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> NotEqualBroadcast1ElementFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> NotEqualBroadcast1dVectorFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> NotEqualSimpleUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> NotEqualBroadcast1ElementUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> NotEqualBroadcast1dVectorUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
diff --git a/src/backends/backendsCommon/test/layerTests/ConcatTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/ConcatTestImpl.cpp
index 7f047cd323..d486bc0c19 100644
--- a/src/backends/backendsCommon/test/layerTests/ConcatTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/ConcatTestImpl.cpp
@@ -121,6 +121,7 @@ void Generate3dPermuteVectorForConcat(
 template<typename T> void PermuteTensorData(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const PermutationVector& mappings,
     TensorInfo & inputTensorInfo,
     const T * inputData,
@@ -137,10 +138,8 @@ template<typename T> void PermuteTensorData(
     }
 
     TensorInfo outputTensorInfo = armnnUtils::Permuted(inputTensorInfo, mappings);
-    ARMNN_NO_DEPRECATE_WARN_BEGIN
-    std::unique_ptr<ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo);
-    std::unique_ptr<ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
-    ARMNN_NO_DEPRECATE_WARN_END
+    std::unique_ptr<ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo);
+    std::unique_ptr<ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo);
 
     PermuteQueueDescriptor queueDescriptor;
     queueDescriptor.m_Parameters = PermuteDescriptor{mappings};
@@ -172,6 +171,7 @@ template<typename T> void PermuteTensorData(
 template<typename T> void PermuteInputsForConcat(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     std::vector<TensorInfo> & inputTensorInfos,
     std::vector<T *> & inputData,
     std::vector<std::vector<T>> & inputDataStorage,
@@ -215,6 +215,7 @@ template<typename T> void PermuteInputsForConcat(
 
         PermuteTensorData<T>(workloadFactory,
                              memoryManager,
+                             tensorHandleFactory,
                              permutations.first,
                              newTensorInfo,
                              inputData[nthInput],
@@ -240,6 +241,7 @@ template<typename T> void PermuteInputsForConcat(
 template <typename T> void PermuteOutputForConcat(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const TensorInfo & tensorInfo,
     const PermutationVector & permuteVector,
     std::unique_ptr<ITensorHandle> && inputDataHandle,
@@ -262,6 +264,7 @@ template <typename T> void PermuteOutputForConcat(
 
     PermuteTensorData<T>(workloadFactory,
                          memoryManager,
+                         tensorHandleFactory,
                          permuteVector,
                          resultTensorInfo,
                          &inputData[0],
@@ -273,6 +276,7 @@ template <typename T> void PermuteOutputForConcat(
 template<typename T> void Concatenate(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     std::initializer_list<const TensorInfo> inputTensorInfosOrig,
     std::initializer_list<T *> inputsOrig,
     const TensorInfo& outputTensorInfoOrig,
@@ -311,6 +315,7 @@ template<typename T> void Concatenate(
         //
         PermuteInputsForConcat<T>(workloadFactory,
                                   memoryManager,
+                                  tensorHandleFactory,
                                   inputTensorInfos,
                                   inputs,
                                   tmpInputDataStorage,
@@ -323,9 +328,9 @@ template<typename T> void Concatenate(
 
     std::vector<std::unique_ptr<ITensorHandle>> inputHandles;
     inputHandles.reserve(inputCount);
-    ARMNN_NO_DEPRECATE_WARN_BEGIN
-    std::unique_ptr<ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
-    ARMNN_NO_DEPRECATE_WARN_END
+
+    std::unique_ptr<ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo);
+
     ConcatQueueDescriptor queueDescriptor;
     OriginsDescriptor viewsDescriptor = CreateDescriptorForConcat(inputTensorInfos, concatDim);
     queueDescriptor.m_Parameters = viewsDescriptor;
@@ -338,21 +343,21 @@ template<typename T> void Concatenate(
             queueDescriptor.m_ViewOrigins.emplace_back(std::vector<unsigned int>(viewsDescriptor.GetViewOrigin(i),
                 viewsDescriptor.GetViewOrigin(i) + viewsDescriptor.GetNumDimensions()));
         }
-        ARMNN_NO_DEPRECATE_WARN_BEGIN
-        outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
-        ARMNN_NO_DEPRECATE_WARN_END
+
+        outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo);
+
         const bool subTensorsSupported = workloadFactory.SupportsSubTensors();
         for (unsigned int i = 0; i < inputCount; ++i)
         {
             const TensorInfo& inputTensorInfo = inputTensorInfos[i];
-            ARMNN_NO_DEPRECATE_WARN_BEGIN
+
             std::unique_ptr<ITensorHandle> inputHandle =
                 subTensorsSupported ?
-                    workloadFactory.CreateSubTensorHandle(*outputHandle,
+                    tensorHandleFactory.CreateSubTensorHandle(*outputHandle,
                                                           inputTensorInfo.GetShape(),
                                                           queueDescriptor.m_ViewOrigins[i].m_Origin.data()) :
-                    workloadFactory.CreateTensorHandle(inputTensorInfo);
-            ARMNN_NO_DEPRECATE_WARN_END
+                                                          tensorHandleFactory.CreateTensorHandle(inputTensorInfo);
+
             inputHandles.emplace_back(std::move(inputHandle));
         }
 
@@ -362,9 +367,7 @@ template<typename T> void Concatenate(
     {
         for (unsigned int i = 0; i < inputCount; ++i)
         {
-            ARMNN_NO_DEPRECATE_WARN_BEGIN
-            std::unique_ptr<ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfos[i]);
-            ARMNN_NO_DEPRECATE_WARN_END
+            std::unique_ptr<ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfos[i]);
             inputHandles.emplace_back(std::move(inputHandle));
         }
     }
@@ -399,6 +402,7 @@ template<typename T> void Concatenate(
     {
         PermuteOutputForConcat<T>(workloadFactory,
                                   memoryManager,
+                                  tensorHandleFactory,
                                   outputTensorInfo,
                                   permuteVector,
                                   std::move(outputHandle),
@@ -418,6 +422,7 @@ template<DataType ArmnnType, typename T = ResolveType<ArmnnType>>
 LayerTestResult<T, 1> Concat1dTestImpl(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale,
     int32_t qOffset)
 {
@@ -433,7 +438,7 @@ LayerTestResult<T, 1> Concat1dTestImpl(
 
     std::vector<T> output;
     output.resize(outputTensorInfo.GetNumElements());
-    Concatenate<T>(workloadFactory, memoryManager,
+    Concatenate<T>(workloadFactory, memoryManager, tensorHandleFactory,
                    { inputTensorInfo, inputTensorInfo, inputTensorInfo },
                    { input0.data(), input1.data(), input2.data() },
                    outputTensorInfo,
@@ -455,6 +460,7 @@ template<DataType ArmnnType, typename T = ResolveType<ArmnnType>>
 LayerTestResult<T, 2> Concat2dTestImpl(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const TensorInfo& outputTensorInfo,
     unsigned int dimension,
     const float qScale,
@@ -496,7 +502,7 @@ LayerTestResult<T, 2> Concat2dTestImpl(
 
     std::vector<T> output;
     output.resize(outputTensorInfo.GetNumElements());
-    Concatenate<T>(workloadFactory, memoryManager,
+    Concatenate<T>(workloadFactory, memoryManager, tensorHandleFactory,
                    { inputTensorInfo, inputTensorInfo, inputTensorInfo },
                    { input0.data(), input1.data(), input2.data() },
                    outputTensorInfo,
@@ -512,13 +518,14 @@ template<DataType ArmnnType, typename T = ResolveType<ArmnnType>>
 LayerTestResult<T, 2> Concat2dDim0TestImpl(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale,
     int32_t qOffset)
 {
     TensorInfo outputTensorInfo({ 6, 3 }, ArmnnType, qScale, qOffset);
 
     LayerTestResult<T, 2> result = Concat2dTestImpl<ArmnnType>(
-        workloadFactory, memoryManager, outputTensorInfo, 0, qScale, qOffset);
+        workloadFactory, memoryManager, tensorHandleFactory, outputTensorInfo, 0, qScale, qOffset);
 
     result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, QuantizedVector<T>(
         {
@@ -549,13 +556,14 @@ template<DataType ArmnnType, typename T = ResolveType<ArmnnType>>
 LayerTestResult<T, 2> Concat2dDim1TestImpl(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale,
     int32_t qOffset)
 {
     TensorInfo outputTensorInfo({ 2, 9 }, ArmnnType, qScale, qOffset);
 
     LayerTestResult<T, 2> result = Concat2dTestImpl<ArmnnType>(
-        workloadFactory, memoryManager, outputTensorInfo, 1, qScale, qOffset);
+        workloadFactory, memoryManager, tensorHandleFactory, outputTensorInfo, 1, qScale, qOffset);
 
     result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, QuantizedVector<T>(
         {
@@ -574,6 +582,7 @@ template<DataType ArmnnType, typename T = ResolveType<ArmnnType>>
 LayerTestResult<T, 2> Concat2dDim0DiffInputDimsTestImpl(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale,
     int32_t qOffset)
 {
@@ -615,7 +624,7 @@ LayerTestResult<T, 2> Concat2dDim0DiffInputDimsTestImpl(
 
     std::vector<T> output;
     output.resize(outputTensorInfo.GetNumElements());
-    Concatenate<T>(workloadFactory, memoryManager,
+    Concatenate<T>(workloadFactory, memoryManager, tensorHandleFactory,
                    { input0TensorInfo, input1TensorInfo, input2TensorInfo },
                    { input0.data(), input1.data(), input2.data() },
                    outputTensorInfo,
@@ -653,6 +662,7 @@ template<DataType ArmnnType, typename T = ResolveType<ArmnnType>>
 LayerTestResult<T, 2> Concat2dDim1DiffInputDimsTestImpl(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale,
     int32_t qOffset)
 {
@@ -694,7 +704,7 @@ LayerTestResult<T, 2> Concat2dDim1DiffInputDimsTestImpl(
 
     std::vector<T> output;
     output.resize(outputTensorInfo.GetNumElements());
-    Concatenate<T>(workloadFactory, memoryManager,
+    Concatenate<T>(workloadFactory, memoryManager, tensorHandleFactory,
                    { input0TensorInfo, input1TensorInfo, input2TensorInfo },
                    { input0.data(), input1.data(), input2.data() },
                    outputTensorInfo,
@@ -720,6 +730,7 @@ template<DataType ArmnnType, typename T = ResolveType<ArmnnType>>
 LayerTestResult<T, 3> Concat3dTestImpl(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const TensorInfo& outputTensorInfo,
     unsigned int dimension,
     bool useSubtensor,
@@ -798,7 +809,7 @@ LayerTestResult<T, 3> Concat3dTestImpl(
 
     std::vector<T> output;
     output.resize(outputTensorInfo.GetNumElements());
-    Concatenate<T>(workloadFactory, memoryManager,
+    Concatenate<T>(workloadFactory, memoryManager, tensorHandleFactory,
                    { inputTensorInfo, inputTensorInfo, inputTensorInfo },
                    { input0.data(), input1.data(), input2.data() },
                    outputTensorInfo,
@@ -814,13 +825,14 @@ template<DataType ArmnnType, typename T = ResolveType<ArmnnType>>
 LayerTestResult<T, 3> Concat3dDim0TestImpl(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale,
     int32_t qOffset)
 {
     TensorInfo outputTensorInfo({ 6, 3, 2 }, ArmnnType, qScale, qOffset);
 
     LayerTestResult<T, 3> result = Concat3dTestImpl<ArmnnType>(
-        workloadFactory, memoryManager, outputTensorInfo, 0, true, qScale, qOffset);
+        workloadFactory, memoryManager, tensorHandleFactory, outputTensorInfo, 0, true, qScale, qOffset);
 
     result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(
         {
@@ -887,13 +899,14 @@ template<DataType ArmnnType, typename T = ResolveType<ArmnnType>>
 LayerTestResult<T, 3> Concat3dDim1TestImpl(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale,
     int32_t qOffset)
 {
     TensorInfo outputTensorInfo({ 2, 9, 2 }, ArmnnType, qScale, qOffset);
 
     LayerTestResult<T, 3> result = Concat3dTestImpl<ArmnnType>(
-        workloadFactory, memoryManager, outputTensorInfo, 1, true, qScale, qOffset);
+        workloadFactory, memoryManager, tensorHandleFactory, outputTensorInfo, 1, true, qScale, qOffset);
 
     result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(
         {
@@ -960,6 +973,7 @@ template<DataType ArmnnType, typename T = ResolveType<ArmnnType>>
 LayerTestResult<T, 3> Concat3dDim2TestImpl(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool useSubtensor,
     float qScale,
     int32_t qOffset)
@@ -967,7 +981,7 @@ LayerTestResult<T, 3> Concat3dDim2TestImpl(
     TensorInfo outputTensorInfo({ 2, 3, 6 }, ArmnnType, qScale, qOffset);
 
     LayerTestResult<T, 3> result = Concat3dTestImpl<ArmnnType>(
-        workloadFactory, memoryManager, outputTensorInfo, 2, useSubtensor, qScale, qOffset);
+        workloadFactory, memoryManager, tensorHandleFactory, outputTensorInfo, 2, useSubtensor, qScale, qOffset);
 
     result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(
         {
@@ -998,6 +1012,7 @@ template<DataType ArmnnType, typename T = ResolveType<ArmnnType>>
 LayerTestResult<T, 3> Concat3dDim0DiffInputDimsTestImpl(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale,
     int32_t qOffset)
 {
@@ -1075,7 +1090,7 @@ LayerTestResult<T, 3> Concat3dDim0DiffInputDimsTestImpl(
 
     std::vector<T> output;
     output.resize(outputTensorInfo.GetNumElements());
-    Concatenate<T>(workloadFactory, memoryManager,
+    Concatenate<T>(workloadFactory, memoryManager, tensorHandleFactory,
                    { input0TensorInfo, input1TensorInfo, input2TensorInfo },
                    { input0.data(), input1.data(), input2.data() },
                    outputTensorInfo,
@@ -1149,6 +1164,7 @@ template<DataType ArmnnType, typename T = ResolveType<ArmnnType>>
 LayerTestResult<T, 3> Concat3dDim1DiffInputDimsTestImpl(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale,
     int32_t qOffset)
 {
@@ -1220,7 +1236,7 @@ LayerTestResult<T, 3> Concat3dDim1DiffInputDimsTestImpl(
 
     std::vector<T> output;
     output.resize(outputTensorInfo.GetNumElements());
-    Concatenate<T>(workloadFactory, memoryManager,
+    Concatenate<T>(workloadFactory, memoryManager, tensorHandleFactory,
                    { input0TensorInfo, input1TensorInfo, input2TensorInfo },
                    { input0.data(), input1.data(), input2.data() },
                    outputTensorInfo,
@@ -1288,6 +1304,7 @@ template<DataType ArmnnType, typename T = ResolveType<ArmnnType>>
 LayerTestResult<T, 3> Concat3dDim2DiffInputDimsTestImpl(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool useSubtensor,
     float qScale,
     int32_t qOffset)
@@ -1366,7 +1383,7 @@ LayerTestResult<T, 3> Concat3dDim2DiffInputDimsTestImpl(
 
     std::vector<T> output;
     output.resize(outputTensorInfo.GetNumElements());
-    Concatenate<T>(workloadFactory, memoryManager,
+    Concatenate<T>(workloadFactory, memoryManager, tensorHandleFactory,
                    { input0TensorInfo, input1TensorInfo, input2TensorInfo },
                    { input0.data(), input1.data(), input2.data() },
                    outputTensorInfo,
@@ -1404,6 +1421,7 @@ template<DataType ArmnnType, typename T = ResolveType<ArmnnType>>
 LayerTestResult<T, 4> Concat4dTestImpl(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const TensorInfo& outputTensorInfo,
     unsigned int dimension,
     bool useSubtensor,
@@ -1452,6 +1470,7 @@ LayerTestResult<T, 4> Concat4dTestImpl(
 
     Concatenate<T>(workloadFactory,
                    memoryManager,
+                   tensorHandleFactory,
                    {inputTensorInfo, inputTensorInfo, inputTensorInfo},
                    {input0.data(), input1.data(), input2.data()},
                    outputTensorInfo,
@@ -1467,13 +1486,14 @@ template<DataType ArmnnType, typename T = ResolveType<ArmnnType>>
 LayerTestResult<T, 4> Concat4dDim0TestImpl(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale,
     int32_t qOffset)
 {
     TensorInfo outputTensorInfo({ 3, 3, 2, 2 }, ArmnnType, qScale, qOffset);
 
     LayerTestResult<T, 4> result = Concat4dTestImpl<ArmnnType>(
-        workloadFactory, memoryManager, outputTensorInfo, 0, true, qScale, qOffset);
+        workloadFactory, memoryManager, tensorHandleFactory, outputTensorInfo, 0, true, qScale, qOffset);
 
     result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(
         {
@@ -1507,13 +1527,14 @@ template<DataType ArmnnType, typename T = ResolveType<ArmnnType>>
 LayerTestResult<T, 4> Concat4dDim1TestImpl(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale,
     int32_t qOffset)
 {
     TensorInfo outputTensorInfo({ 1, 9, 2, 2 }, ArmnnType, qScale, qOffset);
 
     LayerTestResult<T, 4> result = Concat4dTestImpl<ArmnnType>(
-        workloadFactory, memoryManager, outputTensorInfo, 1, true, qScale, qOffset);
+        workloadFactory, memoryManager, tensorHandleFactory, outputTensorInfo, 1, true, qScale, qOffset);
 
     result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(
         {
@@ -1547,13 +1568,14 @@ template<DataType ArmnnType, typename T = ResolveType<ArmnnType>>
 LayerTestResult<T, 4> Concat4dDim2TestImpl(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale,
     int32_t qOffset)
 {
     TensorInfo outputTensorInfo({ 1, 3, 6, 2 }, ArmnnType, qScale, qOffset);
 
     LayerTestResult<T, 4> result = Concat4dTestImpl<ArmnnType>(
-        workloadFactory, memoryManager, outputTensorInfo, 2, true, qScale, qOffset);
+        workloadFactory, memoryManager, tensorHandleFactory, outputTensorInfo, 2, true, qScale, qOffset);
 
     result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(
         {
@@ -1587,6 +1609,7 @@ template<DataType ArmnnType, typename T = ResolveType<ArmnnType>>
 LayerTestResult<T, 4> Concat4dDim3TestImpl(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale,
     int32_t qOffset,
     bool useSubtensor)
@@ -1594,7 +1617,7 @@ LayerTestResult<T, 4> Concat4dDim3TestImpl(
     TensorInfo outputTensorInfo({ 1, 3, 2, 6 }, ArmnnType, qScale, qOffset);
 
     LayerTestResult<T, 4> result = Concat4dTestImpl<ArmnnType>(
-        workloadFactory, memoryManager, outputTensorInfo, 3, useSubtensor, qScale, qOffset);
+        workloadFactory, memoryManager, tensorHandleFactory, outputTensorInfo, 3, useSubtensor, qScale, qOffset);
 
     result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(
         {
@@ -1628,6 +1651,7 @@ template<DataType ArmnnType, typename T = ResolveType<ArmnnType>>
 LayerTestResult<T, 4> Concat4dDiffShapeDim0TestImpl(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale,
     int32_t qOffset)
 {
@@ -1673,6 +1697,7 @@ LayerTestResult<T, 4> Concat4dDiffShapeDim0TestImpl(
     output.resize(outputTensorInfo.GetNumElements());
     Concatenate<T>(workloadFactory,
                    memoryManager,
+                   tensorHandleFactory,
                    {inputTensorInfo0, inputTensorInfo1},
                    {input0.data(), input1.data()},
                    outputTensorInfo,
@@ -1713,6 +1738,7 @@ template<DataType ArmnnType, typename T = ResolveType<ArmnnType>>
 LayerTestResult<T, 4> Concat4dDiffShapeDim1TestImpl(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale,
     int32_t qOffset)
 {
@@ -1749,6 +1775,7 @@ LayerTestResult<T, 4> Concat4dDiffShapeDim1TestImpl(
     output.resize(outputTensorInfo.GetNumElements());
     Concatenate<T>(workloadFactory,
                    memoryManager,
+                   tensorHandleFactory,
                    {inputTensorInfo0, inputTensorInfo1},
                    {input0.data(), input1.data()},
                    outputTensorInfo,
@@ -1779,6 +1806,7 @@ template<DataType ArmnnType, typename T = ResolveType<ArmnnType>>
 LayerTestResult<T, 4> Concat4dDiffShapeDim2TestImpl(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale,
     int32_t qOffset)
 {
@@ -1818,6 +1846,7 @@ LayerTestResult<T, 4> Concat4dDiffShapeDim2TestImpl(
     output.resize(outputTensorInfo.GetNumElements());
     Concatenate<T>(workloadFactory,
                    memoryManager,
+                   tensorHandleFactory,
                    {inputTensorInfo0, inputTensorInfo1},
                    {input0.data(), input1.data()},
                    outputTensorInfo,
@@ -1855,6 +1884,7 @@ template<DataType ArmnnType, typename T = ResolveType<ArmnnType>>
 LayerTestResult<T, 4> Concat4dDiffShapeDim3TestImpl(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale,
     int32_t qOffset,
     bool useSubtensor)
@@ -1895,6 +1925,7 @@ LayerTestResult<T, 4> Concat4dDiffShapeDim3TestImpl(
     output.resize(outputTensorInfo.GetNumElements());
     Concatenate<T>(workloadFactory,
                    memoryManager,
+                   tensorHandleFactory,
                    {inputTensorInfo0, inputTensorInfo1},
                    {input0.data(), input1.data()},
                    outputTensorInfo,
@@ -1921,6 +1952,7 @@ template<DataType ArmnnType, typename T>
 LayerTestResult<T, 3> ConcatDifferentInputOutputQParamTest(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool useSubtensor)
 {
     IgnoreUnused(memoryManager);
@@ -2009,21 +2041,21 @@ LayerTestResult<T, 3> ConcatDifferentInputOutputQParamTest(
 
     std::vector<unsigned int> wOrigin2 = { 0, 0, 2 }; //Extent of the window is defined by size of input[1].
     ConcatQueueDescriptor::ViewOrigin window2(wOrigin2);
-    ARMNN_NO_DEPRECATE_WARN_BEGIN
-    std::unique_ptr<ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
-    ARMNN_NO_DEPRECATE_WARN_END
+
+    std::unique_ptr<ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo);
+
     bool subTensorsSupported = useSubtensor && workloadFactory.SupportsSubTensors();
-    ARMNN_NO_DEPRECATE_WARN_BEGIN
+
     std::unique_ptr<ITensorHandle> inputHandle1 =
             subTensorsSupported ?
-            workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) :
-            workloadFactory.CreateTensorHandle(inputTensorInfo1);
+            tensorHandleFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) :
+            tensorHandleFactory.CreateTensorHandle(inputTensorInfo1);
 
     std::unique_ptr<ITensorHandle> inputHandle2 =
             subTensorsSupported ?
-            workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) :
-            workloadFactory.CreateTensorHandle(inputTensorInfo2);
-    ARMNN_NO_DEPRECATE_WARN_END
+            tensorHandleFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) :
+            tensorHandleFactory.CreateTensorHandle(inputTensorInfo2);
+
     ConcatQueueDescriptor data;
     OriginsDescriptor desc = CreateDescriptorForConcatenation(
             inputTensorShapes.begin(),inputTensorShapes.end(), 2);
@@ -2062,12 +2094,14 @@ template LayerTestResult<ResolveType<DataType::QAsymmU8>, 3>
 ConcatDifferentInputOutputQParamTest<DataType::QAsymmU8>(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool useSubtensor);
 
 template LayerTestResult<ResolveType<DataType::QSymmS16>, 3>
 ConcatDifferentInputOutputQParamTest<DataType::QSymmS16>(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool useSubtensor);
 
 //
@@ -2076,7 +2110,8 @@ ConcatDifferentInputOutputQParamTest<DataType::QSymmS16>(
 
 LayerTestResult<float,3> ConcatTest(
     IWorkloadFactory& workloadFactory,
-    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     IgnoreUnused(memoryManager);
 
@@ -2158,21 +2193,21 @@ LayerTestResult<float,3> ConcatTest(
 
     std::vector<unsigned int> wOrigin2 = {2, 0, 0}; //Extent of the window is defined by size of input[1].
     ConcatQueueDescriptor::ViewOrigin window2(wOrigin2);
-    ARMNN_NO_DEPRECATE_WARN_BEGIN
-    std::unique_ptr<ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
+
+    std::unique_ptr<ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo);
 
     bool subTensorsSupported = workloadFactory.SupportsSubTensors();
 
     std::unique_ptr<ITensorHandle> inputHandle1 =
         subTensorsSupported ?
-            workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) :
-            workloadFactory.CreateTensorHandle(inputTensorInfo1);
+            tensorHandleFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) :
+            tensorHandleFactory.CreateTensorHandle(inputTensorInfo1);
 
     std::unique_ptr<ITensorHandle> inputHandle2  =
         subTensorsSupported ?
-            workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) :
-            workloadFactory.CreateTensorHandle(inputTensorInfo2);
-    ARMNN_NO_DEPRECATE_WARN_END
+            tensorHandleFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) :
+            tensorHandleFactory.CreateTensorHandle(inputTensorInfo2);
+
     ConcatQueueDescriptor data;
     WorkloadInfo info;
     AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get());
@@ -2201,162 +2236,194 @@ LayerTestResult<float,3> ConcatTest(
 
 LayerTestResult<float, 1> Concat1dTest(
     IWorkloadFactory& workloadFactory,
-    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Concat1dTestImpl<DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0);
+    return Concat1dTestImpl<DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);
 }
 
 LayerTestResult<float, 2> Concat2dDim0Test(
     IWorkloadFactory& workloadFactory,
-    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Concat2dDim0TestImpl<DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0);
+    return Concat2dDim0TestImpl<DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);
 }
 
 LayerTestResult<float, 2> Concat2dDim1Test(
     IWorkloadFactory& workloadFactory,
-    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Concat2dDim1TestImpl<DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0);
+    return Concat2dDim1TestImpl<DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);
 }
 
 LayerTestResult<float, 2> Concat2dDim0DiffInputDimsTest(
     IWorkloadFactory& workloadFactory,
-    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Concat2dDim0DiffInputDimsTestImpl<DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0);
+    return Concat2dDim0DiffInputDimsTestImpl<DataType::Float32>(workloadFactory, memoryManager,
+                                                                tensorHandleFactory, 0.0f, 0);
 }
 
 LayerTestResult<float, 2> Concat2dDim1DiffInputDimsTest(
     IWorkloadFactory& workloadFactory,
-    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Concat2dDim1DiffInputDimsTestImpl<DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0);
+    return Concat2dDim1DiffInputDimsTestImpl<DataType::Float32>(workloadFactory,
+                                                                memoryManager,
+                                                                tensorHandleFactory,
+                                                                0.0f,
+                                                                0);
 }
 
 LayerTestResult<float, 3> Concat3dDim0Test(
     IWorkloadFactory& workloadFactory,
-    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Concat3dDim0TestImpl<DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0);
+    return Concat3dDim0TestImpl<DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);
 }
 
 LayerTestResult<float, 3> Concat3dDim1Test(
     IWorkloadFactory& workloadFactory,
-    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Concat3dDim1TestImpl<DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0);
+    return Concat3dDim1TestImpl<DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);
 }
 
 LayerTestResult<float, 3> Concat3dDim2Test(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool useSubtensor)
 {
-    return Concat3dDim2TestImpl<DataType::Float32>(workloadFactory, memoryManager, useSubtensor, 0.0f, 0);
+    return Concat3dDim2TestImpl<DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory,
+                                                   useSubtensor, 0.0f, 0);
 }
 
 LayerTestResult<float, 3> Concat3dDim0DiffInputDimsTest(
     IWorkloadFactory& workloadFactory,
-    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return Concat3dDim0DiffInputDimsTestImpl<DataType::Float32>(
-        workloadFactory, memoryManager, 0.0f, 0);
+        workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);
 }
 
 LayerTestResult<float, 3> Concat3dDim1DiffInputDimsTest(
     IWorkloadFactory& workloadFactory,
-    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Concat3dDim1DiffInputDimsTestImpl<DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0);
+    return Concat3dDim1DiffInputDimsTestImpl<DataType::Float32>(workloadFactory, memoryManager,
+                                                                tensorHandleFactory, 0.0f, 0);
 }
 
 LayerTestResult<float, 3> Concat3dDim2DiffInputDimsTest(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool useSubtensor)
 {
     return Concat3dDim2DiffInputDimsTestImpl<DataType::Float32>(
-        workloadFactory, memoryManager, useSubtensor, 0.0f, 0);
+        workloadFactory, memoryManager, tensorHandleFactory, useSubtensor, 0.0f, 0);
 }
 
 LayerTestResult<float, 4> Concat4dDim0Test(
     IWorkloadFactory& workloadFactory,
-    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Concat4dDim0TestImpl<DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0);
+    return Concat4dDim0TestImpl<DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);
 }
 
 LayerTestResult<float, 4> Concat4dDim1Test(
     IWorkloadFactory& workloadFactory,
-    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Concat4dDim1TestImpl<DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0);
+    return Concat4dDim1TestImpl<DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);
 }
 
 LayerTestResult<float, 4> Concat4dDim2Test(
     IWorkloadFactory& workloadFactory,
-    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Concat4dDim2TestImpl<DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0);
+    return Concat4dDim2TestImpl<DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);
 }
 
 LayerTestResult<float, 4> Concat4dDim3Test(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool useSubtensor)
 {
-    return Concat4dDim3TestImpl<DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0, useSubtensor);
+    return Concat4dDim3TestImpl<DataType::Float32>(workloadFactory, memoryManager,
+                                                   tensorHandleFactory, 0.0f, 0, useSubtensor);
 }
 
 LayerTestResult<float, 4> Concat4dDiffShapeDim0Test(
     IWorkloadFactory& workloadFactory,
-    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Concat4dDiffShapeDim0TestImpl<DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0);
+    return Concat4dDiffShapeDim0TestImpl<DataType::Float32>(workloadFactory, memoryManager,
+                                                            tensorHandleFactory, 0.0f, 0);
 }
 
 LayerTestResult<float, 4> Concat4dDiffShapeDim1Test(
     IWorkloadFactory& workloadFactory,
-    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return Concat4dDiffShapeDim1TestImpl<DataType::Float32>(
-        workloadFactory, memoryManager, 0.0f, 0);
+        workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);
 }
 
 LayerTestResult<float, 4> Concat4dDiffShapeDim2Test(
     IWorkloadFactory& workloadFactory,
-    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Concat4dDiffShapeDim2TestImpl<DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0);
+    return Concat4dDiffShapeDim2TestImpl<DataType::Float32>(workloadFactory, memoryManager,
+                                                            tensorHandleFactory, 0.0f, 0);
 }
 
 LayerTestResult<float, 4> Concat4dDiffShapeDim3Test(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool useSubtensor)
 {
     return Concat4dDiffShapeDim3TestImpl<DataType::Float32>(
-        workloadFactory, memoryManager, 0.0f, 0, useSubtensor);
+        workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0, useSubtensor);
 }
 
 LayerTestResult<Half, 3> ConcatFloat16Test(
     IWorkloadFactory& workloadFactory,
-    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Concat3dDim1TestImpl<DataType::Float16>(workloadFactory, memoryManager, 0.0f, 0);
+    return Concat3dDim1TestImpl<DataType::Float16>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);
 }
 
 LayerTestResult<BFloat16, 3> ConcatBFloat16Test(
     IWorkloadFactory& workloadFactory,
-    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Concat3dDim1TestImpl<DataType::BFloat16>(workloadFactory, memoryManager, 0.0f, 0);
+    return Concat3dDim1TestImpl<DataType::BFloat16>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);
 }
 
 LayerTestResult<uint8_t, 3> ConcatUint8DifferentQParamsTest(
     IWorkloadFactory& workloadFactory,
-    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     IgnoreUnused(memoryManager);
 
@@ -2458,21 +2525,21 @@ LayerTestResult<uint8_t, 3> ConcatUint8DifferentQParamsTest(
 
     std::vector<unsigned int> wOrigin2 = { 2, 0, 0 }; //Extent of the window is defined by size of input[1].
     ConcatQueueDescriptor::ViewOrigin window2(wOrigin2);
-    ARMNN_NO_DEPRECATE_WARN_BEGIN
-    std::unique_ptr<ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
+
+    std::unique_ptr<ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo);
 
     bool subTensorsSupported = workloadFactory.SupportsSubTensors();
 
     std::unique_ptr<ITensorHandle> inputHandle1 =
             subTensorsSupported ?
-            workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) :
-            workloadFactory.CreateTensorHandle(inputTensorInfo1);
+            tensorHandleFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) :
+            tensorHandleFactory.CreateTensorHandle(inputTensorInfo1);
 
     std::unique_ptr<ITensorHandle> inputHandle2 =
             subTensorsSupported ?
-            workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) :
-            workloadFactory.CreateTensorHandle(inputTensorInfo2);
-    ARMNN_NO_DEPRECATE_WARN_END
+            tensorHandleFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) :
+            tensorHandleFactory.CreateTensorHandle(inputTensorInfo2);
+
     ConcatQueueDescriptor data;
     WorkloadInfo info;
     AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get());
@@ -2501,7 +2568,8 @@ LayerTestResult<uint8_t, 3> ConcatUint8DifferentQParamsTest(
 
 LayerTestResult<uint8_t, 3> ConcatUint8Test(
     IWorkloadFactory& workloadFactory,
-    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     IgnoreUnused(memoryManager);
 
@@ -2595,21 +2663,20 @@ LayerTestResult<uint8_t, 3> ConcatUint8Test(
     std::vector<unsigned int> wOrigin2 = { 2, 0, 0 }; //Extent of the window is defined by size of input[1].
     ConcatQueueDescriptor::ViewOrigin window2(wOrigin2);
 
-    ARMNN_NO_DEPRECATE_WARN_BEGIN
-    std::unique_ptr<ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
+    std::unique_ptr<ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo);
 
     bool subTensorsSupported = workloadFactory.SupportsSubTensors();
 
     std::unique_ptr<ITensorHandle> inputHandle1 =
         subTensorsSupported ?
-            workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) :
-            workloadFactory.CreateTensorHandle(inputTensorInfo1);
+            tensorHandleFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) :
+            tensorHandleFactory.CreateTensorHandle(inputTensorInfo1);
 
     std::unique_ptr<ITensorHandle> inputHandle2 =
         subTensorsSupported ?
-            workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) :
-            workloadFactory.CreateTensorHandle(inputTensorInfo2);
-    ARMNN_NO_DEPRECATE_WARN_END
+            tensorHandleFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) :
+            tensorHandleFactory.CreateTensorHandle(inputTensorInfo2);
+
 
     ConcatQueueDescriptor data;
     WorkloadInfo info;
@@ -2639,7 +2706,8 @@ LayerTestResult<uint8_t, 3> ConcatUint8Test(
 
 LayerTestResult<uint16_t, 3> ConcatUint16Test(
         IWorkloadFactory& workloadFactory,
-        const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+        const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     IgnoreUnused(memoryManager);
 
@@ -2730,21 +2798,21 @@ LayerTestResult<uint16_t, 3> ConcatUint16Test(
     std::vector<unsigned int> wOrigin2 = { 2, 0, 0 }; //Extent of the window is defined by size of input[1].
     ConcatQueueDescriptor::ViewOrigin window2(wOrigin2);
 
-    ARMNN_NO_DEPRECATE_WARN_BEGIN
-    std::unique_ptr<ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
+
+    std::unique_ptr<ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo);
 
     bool subTensorsSupported = workloadFactory.SupportsSubTensors();
 
     std::unique_ptr<ITensorHandle> inputHandle1 =
             subTensorsSupported ?
-            workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) :
-            workloadFactory.CreateTensorHandle(inputTensorInfo1);
+            tensorHandleFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) :
+            tensorHandleFactory.CreateTensorHandle(inputTensorInfo1);
 
     std::unique_ptr<ITensorHandle> inputHandle2 =
             subTensorsSupported ?
-            workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) :
-            workloadFactory.CreateTensorHandle(inputTensorInfo2);
-    ARMNN_NO_DEPRECATE_WARN_END
+            tensorHandleFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) :
+            tensorHandleFactory.CreateTensorHandle(inputTensorInfo2);
+    
 
     ConcatQueueDescriptor data;
     WorkloadInfo info;
@@ -2774,146 +2842,165 @@ LayerTestResult<uint16_t, 3> ConcatUint16Test(
 
 LayerTestResult<uint8_t, 1> Concat1dUint8Test(
     IWorkloadFactory& workloadFactory,
-    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Concat1dTestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, 0.5f, -1);
+    return Concat1dTestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1);
 }
 
 LayerTestResult<uint8_t, 2> Concat2dDim0Uint8Test(
     IWorkloadFactory& workloadFactory,
-    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Concat2dDim0TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, 0.5f, -1);
+    return Concat2dDim0TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1);
 }
 
 LayerTestResult<uint8_t, 2> Concat2dDim1Uint8Test(
     IWorkloadFactory& workloadFactory,
-    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Concat2dDim1TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, 0.5f, -1);
+    return Concat2dDim1TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1);
 }
 
 LayerTestResult<uint8_t, 2> Concat2dDim0DiffInputDimsUint8Test(
     IWorkloadFactory& workloadFactory,
-    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return Concat2dDim0DiffInputDimsTestImpl<DataType::QAsymmU8>(
-        workloadFactory, memoryManager, 0.5f, -1);
+        workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1);
 }
 
 LayerTestResult<uint8_t, 2> Concat2dDim1DiffInputDimsUint8Test(
     IWorkloadFactory& workloadFactory,
-    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return Concat2dDim1DiffInputDimsTestImpl<DataType::QAsymmU8>(
-        workloadFactory, memoryManager, 0.5f, -1);
+        workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1);
 }
 
 LayerTestResult<uint8_t, 3> Concat3dDim0Uint8Test(
     IWorkloadFactory& workloadFactory,
-    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Concat3dDim0TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, 0.5f, -1);
+    return Concat3dDim0TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1);
 }
 
 LayerTestResult<uint8_t, 3> Concat3dDim1Uint8Test(
     IWorkloadFactory& workloadFactory,
-    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Concat3dDim1TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, 0.5f, -1);
+    return Concat3dDim1TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1);
 }
 
 LayerTestResult<uint8_t, 3> Concat3dDim2Uint8Test(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool useSubtensor)
 {
     return Concat3dDim2TestImpl<DataType::QAsymmU8>(
-        workloadFactory, memoryManager, useSubtensor, 0.5f, -1);
+        workloadFactory, memoryManager, tensorHandleFactory, useSubtensor, 0.5f, -1);
 }
 
 LayerTestResult<uint8_t, 3> Concat3dDim0DiffInputDimsUint8Test(
     IWorkloadFactory& workloadFactory,
-    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Concat3dDim0TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, 0.5f, -1);
+    return Concat3dDim0TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1);
 }
 
 LayerTestResult<uint8_t, 3> Concat3dDim1DiffInputDimsUint8Test(
     IWorkloadFactory& workloadFactory,
-    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return Concat3dDim1DiffInputDimsTestImpl<DataType::QAsymmU8>(
-        workloadFactory, memoryManager, 0.5f, -1);
+        workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1);
 }
 
 LayerTestResult<uint8_t, 3> Concat3dDim2DiffInputDimsUint8Test(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool useSubtensor)
 {
     return Concat3dDim2DiffInputDimsTestImpl<DataType::QAsymmU8>(
-        workloadFactory, memoryManager, useSubtensor, 0.5f, -1);
+        workloadFactory, memoryManager, tensorHandleFactory, useSubtensor, 0.5f, -1);
 }
 
 LayerTestResult<uint8_t, 4> Concat4dDim0Uint8Test(
     IWorkloadFactory& workloadFactory,
-    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Concat4dDim0TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, 0.5f, -1);
+    return Concat4dDim0TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1);
 }
 
 LayerTestResult<uint8_t, 4> Concat4dDim1Uint8Test(
     IWorkloadFactory& workloadFactory,
-    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Concat4dDim1TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, 0.5f, -1);
+    return Concat4dDim1TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1);
 }
 
 LayerTestResult<uint8_t, 4> Concat4dDim2Uint8Test(
     IWorkloadFactory& workloadFactory,
-    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return Concat4dDim2TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, 0.5f, -1);
+    return Concat4dDim2TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1);
 }
 
 LayerTestResult<uint8_t, 4> Concat4dDim3Uint8Test(
     IWorkloadFactory& workloadFactory,
-    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, bool useSubtensor)
+    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory, bool useSubtensor)
 {
     return Concat4dDim3TestImpl<DataType::QAsymmU8>(
-        workloadFactory, memoryManager, 0.5f, -1, useSubtensor);
+        workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1, useSubtensor);
 }
 
 LayerTestResult<uint8_t, 4> Concat4dDiffShapeDim0Uint8Test(
     IWorkloadFactory& workloadFactory,
-    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return Concat4dDiffShapeDim0TestImpl<DataType::QAsymmU8>(
-        workloadFactory, memoryManager, 0.5f, -1);
+        workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1);
 }
 
 LayerTestResult<uint8_t, 4> Concat4dDiffShapeDim1Uint8Test(
     IWorkloadFactory& workloadFactory,
-    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return Concat4dDiffShapeDim1TestImpl<DataType::QAsymmU8>(
-        workloadFactory, memoryManager, 0.5f, -1);
+        workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1);
 }
 
 LayerTestResult<uint8_t, 4> Concat4dDiffShapeDim2Uint8Test(
     IWorkloadFactory& workloadFactory,
-    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return Concat4dDiffShapeDim2TestImpl<DataType::QAsymmU8>(
-        workloadFactory, memoryManager, 0.5f, -1);
+        workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1);
 }
 
 LayerTestResult<uint8_t, 4> Concat4dDiffShapeDim3Uint8Test(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool useSubtensor)
 {
     return Concat4dDiffShapeDim3TestImpl<DataType::QAsymmU8>(
-        workloadFactory, memoryManager, 0.5f, -1, useSubtensor);
+        workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1, useSubtensor);
 }
diff --git a/src/backends/backendsCommon/test/layerTests/ConcatTestImpl.hpp b/src/backends/backendsCommon/test/layerTests/ConcatTestImpl.hpp
index 167a547542..64e0c0a722 100644
--- a/src/backends/backendsCommon/test/layerTests/ConcatTestImpl.hpp
+++ b/src/backends/backendsCommon/test/layerTests/ConcatTestImpl.hpp
@@ -18,198 +18,245 @@ template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 3> ConcatDifferentInputOutputQParamTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool useSubtensor);
 
 LayerTestResult<float, 3> ConcatTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<armnn::BFloat16, 3> ConcatBFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<armnn::Half, 3> ConcatFloat16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 3> ConcatUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint16_t, 3> ConcatUint16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 3> ConcatUint8DifferentQParamsTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float, 1> Concat1dTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float, 2> Concat2dDim0Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float, 2> Concat2dDim1Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float, 2> Concat2dDim0DiffInputDimsTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float, 2> Concat2dDim1DiffInputDimsTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float, 3> Concat3dDim0Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float, 3> Concat3dDim1Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float, 3> Concat3dDim2Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool useSubtensor);
 
 LayerTestResult<float, 3> Concat3dDim0DiffInputDimsTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float, 3> Concat3dDim1DiffInputDimsTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float, 3> Concat3dDim2DiffInputDimsTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool useSubtensor);
 
 LayerTestResult<float, 4> Concat4dDim0Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float, 4> Concat4dDim1Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float, 4> Concat4dDim2Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float, 4> Concat4dDim3Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool useSubtensor);
 
 LayerTestResult<float, 4> Concat4dDiffShapeDim0Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float, 4> Concat4dDiffShapeDim1Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float, 4> Concat4dDiffShapeDim2Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float, 4> Concat4dDiffShapeDim3Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool useSubtensor);
 
 LayerTestResult<uint8_t, 4> Concat4dDim0Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> Concat4dDim1Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> Concat4dDim2Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> Concat4dDim3Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool useSubtensor);
 
 LayerTestResult<uint8_t, 4> Concat4dDiffShapeDim0Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> Concat4dDiffShapeDim1Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> Concat4dDiffShapeDim2Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> Concat4dDiffShapeDim3Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool useSubtensor);
 
 LayerTestResult<uint8_t, 1> Concat1dUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 2> Concat2dDim0Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 2> Concat2dDim1Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 2> Concat2dDim0DiffInputDimsUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 2> Concat2dDim1DiffInputDimsUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 3> Concat3dDim0Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 3> Concat3dDim1Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 3> Concat3dDim2Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool useSubtensor);
 
 LayerTestResult<uint8_t, 3> Concat3dDim0DiffInputDimsUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 3> Concat3dDim1DiffInputDimsUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 3> Concat3dDim2DiffInputDimsUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool useSubtensor);
 
 LayerTestResult<uint8_t, 3> ConcatDifferentInputOutputQParamUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool useSubtensor);
 
 LayerTestResult<int16_t, 3> ConcatDifferentInputOutputQParamInt16Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool useSubtensor);
diff --git a/src/backends/backendsCommon/test/layerTests/ConstantTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/ConstantTestImpl.cpp
index d84a9bf8bc..45c94d345b 100644
--- a/src/backends/backendsCommon/test/layerTests/ConstantTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/ConstantTestImpl.cpp
@@ -25,6 +25,7 @@ template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 4> ConstantTestImpl(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale,
     int32_t qOffset)
 {
@@ -97,9 +98,9 @@ LayerTestResult<T, 4> ConstantTestImpl(
 
     LayerTestResult<T, 4> result(outputTensorInfo);
     result.outputExpected = input;
-    ARMNN_NO_DEPRECATE_WARN_BEGIN
-    std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
-    ARMNN_NO_DEPRECATE_WARN_END
+
+    std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo);
+
     armnn::ScopedCpuTensorHandle constantTensor(inputTensorInfo);
     AllocateAndCopyDataToITensorHandle(&constantTensor, &input[0][0][0][0]);
 
@@ -124,35 +125,40 @@ LayerTestResult<T, 4> ConstantTestImpl(
 
 LayerTestResult<float, 4> ConstantTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return ConstantTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0);
+    return ConstantTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);
 }
 
 LayerTestResult<int16_t, 4> ConstantInt16SimpleQuantizationScaleNoOffsetTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return ConstantTestImpl<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, 1.0f, 0);
+    return ConstantTestImpl<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, tensorHandleFactory, 1.0f, 0);
 }
 
 LayerTestResult<uint8_t, 4> ConstantUint8SimpleQuantizationScaleNoOffsetTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return ConstantTestImpl<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 1.0f, 0);
+    return ConstantTestImpl<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 1.0f, 0);
 }
 
 LayerTestResult<uint8_t, 4> ConstantUint8CustomQuantizationScaleAndOffsetTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return ConstantTestImpl<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 2e-6f, 1);
+    return ConstantTestImpl<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 2e-6f, 1);
 }
 
 LayerTestResult<int16_t, 4> ConstantInt16CustomQuantizationScaleAndOffsetTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
-    return ConstantTestImpl<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, 2e-6f, 1);
+    return ConstantTestImpl<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, tensorHandleFactory, 2e-6f, 1);
 }
diff --git a/src/backends/backendsCommon/test/layerTests/ConstantTestImpl.hpp b/src/backends/backendsCommon/test/layerTests/ConstantTestImpl.hpp
index 932965a947..71aacb5e62 100644
--- a/src/backends/backendsCommon/test/layerTests/ConstantTestImpl.hpp
+++ b/src/backends/backendsCommon/test/layerTests/ConstantTestImpl.hpp
@@ -12,20 +12,25 @@
 
 LayerTestResult<float, 4> ConstantTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> ConstantUint8SimpleQuantizationScaleNoOffsetTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<int16_t, 4> ConstantInt16SimpleQuantizationScaleNoOffsetTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> ConstantUint8CustomQuantizationScaleAndOffsetTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<int16_t, 4> ConstantInt16CustomQuantizationScaleAndOffsetTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
diff --git a/src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.cpp
index 407e627a39..e99a26e81e 100644
--- a/src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.cpp
@@ -201,6 +201,7 @@ template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType,
 LayerTestResult<T, 4> SimpleConvolution2dTestImpl(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const boost::multi_array<T, 4>& originalInput,
     const boost::multi_array<T, 4>& originalKernel,
     const boost::multi_array<B, 1>& bias,
@@ -312,10 +313,10 @@ LayerTestResult<T, 4> SimpleConvolution2dTestImpl(
         outputData = tmp;
     }
     ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outputData);
-    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::Convolution2dQueueDescriptor data;
     armnn::WorkloadInfo info;
     armnn::ScopedCpuTensorHandle weightsTensor(kernelDesc);
@@ -368,6 +369,7 @@ template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType,
 LayerTestResult<O, 4> SimpleConvolution2dNhwcTestImpl(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const boost::multi_array<T, 4>& input,
     const boost::multi_array<T, 4>& kernel,
     const boost::multi_array<B, 1>& bias,
@@ -418,10 +420,10 @@ LayerTestResult<O, 4> SimpleConvolution2dNhwcTestImpl(
 
     LayerTestResult<O, 4> ret(outputTensorInfo);
     ret.outputExpected = MakeTensor<O, 4>(outputTensorInfo, outputData);
-    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::ScopedCpuTensorHandle weightsTensor(kernelDesc);
     AllocateAndCopyDataToITensorHandle(&weightsTensor, &kernel[0][0][0][0]);
 
@@ -461,6 +463,7 @@ template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T = arm
 LayerTestResult<T,4> Convolution1dTestImpl(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale,
     int32_t qOffset,
     bool biasEnabled)
@@ -539,10 +542,10 @@ LayerTestResult<T,4> Convolution1dTestImpl(
             biasData, biasInfo.GetQuantizationScale(), biasInfo.GetQuantizationOffset(),
             1, outputSize);
     }
-    ARMNN_NO_DEPRECATE_WARN_BEGIN
-    std::unique_ptr<armnn::ITensorHandle> inputHandle  = workloadFactory.CreateTensorHandle(inputInfo);
-    std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputInfo);
-    ARMNN_NO_DEPRECATE_WARN_END
+
+    std::unique_ptr<armnn::ITensorHandle> inputHandle  = tensorHandleFactory.CreateTensorHandle(inputInfo);
+    std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputInfo);
+
     armnn::Convolution2dQueueDescriptor data;
     armnn::WorkloadInfo info;
     armnn::ScopedCpuTensorHandle         weightsTensor(kernelInfo);
@@ -583,6 +586,7 @@ template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 4> SimpleConvolution2d3x3NhwcTestCommon(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale,
     int32_t qOffset,
     bool biasEnabled,
@@ -623,6 +627,7 @@ LayerTestResult<T, 4> SimpleConvolution2d3x3NhwcTestCommon(
     return SimpleConvolution2dNhwcTestImpl<ArmnnType, ArmnnType>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         input,
         kernel,
         boost::multi_array<T, 1>(),
@@ -636,6 +641,7 @@ template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T, 4> SimpleConvolution2d3x3Stride2x2TestCommon(
         armnn::IWorkloadFactory& workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory,
         float qScale,
         int32_t qOffset,
         bool biasEnabled,
@@ -685,6 +691,7 @@ LayerTestResult<T, 4> SimpleConvolution2d3x3Stride2x2TestCommon(
     return SimpleConvolution2dNhwcTestImpl<ArmnnType, ArmnnType>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         input,
         kernel,
         boost::multi_array<T, 1>(),
@@ -704,6 +711,7 @@ template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T = arm
 LayerTestResult<T, 4> SimpleConvolution2d3x5TestCommon(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale,
     int32_t qOffset,
     bool biasEnabled,
@@ -777,6 +785,7 @@ LayerTestResult<T, 4> SimpleConvolution2d3x5TestCommon(
     return SimpleConvolution2dTestImpl<ArmnnType, ArmnnBType>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         input,
         kernel,
         GetBias2<ArmnnBType>(biasEnabled, qScale * qScale),
@@ -791,6 +800,7 @@ template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType,
 LayerTestResult<T, 4> SimpleConvolution2d3x3TestCommon(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale,
     int32_t qOffset,
     bool biasEnabled,
@@ -856,6 +866,7 @@ LayerTestResult<T, 4> SimpleConvolution2d3x3TestCommon(
     return SimpleConvolution2dTestImpl<ArmnnType, ArmnnBType>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         input,
         kernel,
         GetBias2<ArmnnBType>(biasEnabled, qScale * qScale),
@@ -870,6 +881,7 @@ template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType,
 LayerTestResult<T, 4> Convolution2dAsymmetricPaddingLargerThanHalfKernelSizeTestCommon(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const armnn::DataLayout layout,
     float qScale,
     int32_t qOffset)
@@ -919,6 +931,7 @@ LayerTestResult<T, 4> Convolution2dAsymmetricPaddingLargerThanHalfKernelSizeTest
     return SimpleConvolution2dTestImpl<ArmnnType, ArmnnBType>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         input,
         kernel,
         GetBias2<ArmnnBType>(false, qScale * qScale),
@@ -937,6 +950,7 @@ template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType,
 LayerTestResult<T, 4> SimpleConvolution2dAsymmetricPaddingTestCommon(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const armnn::DataLayout layout,
     float qScale,
     int32_t qOffset)
@@ -979,6 +993,7 @@ LayerTestResult<T, 4> SimpleConvolution2dAsymmetricPaddingTestCommon(
     return SimpleConvolution2dTestImpl<ArmnnType, ArmnnBType>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         input,
         kernel,
         GetBias2<ArmnnBType>(false, qScale * qScale),
@@ -996,6 +1011,7 @@ template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T = arm
 LayerTestResult<T, 4> Convolution2d3x3DilationTestCommon(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const std::vector<float>& inputNoQuantizedValues,
     armnn::TensorInfo& inputTensorInfo,
     const std::vector<float>& kernelNoQuantizedValues,
@@ -1064,6 +1080,7 @@ LayerTestResult<T, 4> Convolution2d3x3DilationTestCommon(
     return SimpleConvolution2dTestImpl<ArmnnType, ArmnnBType>(
             workloadFactory,
             memoryManager,
+            tensorHandleFactory,
             input,
             kernel,
             GetBias2<ArmnnBType>(biasEnabled, qScale * qScale),
@@ -1085,6 +1102,7 @@ template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T>
 LayerTestResult<T, 4> Convolution2d3x3Dilation3x3Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout)
 {
@@ -1125,6 +1143,7 @@ LayerTestResult<T, 4> Convolution2d3x3Dilation3x3Test(
     return Convolution2d3x3DilationTestCommon<ArmnnType, ArmnnBType>(
             workloadFactory,
             memoryManager,
+            tensorHandleFactory,
             inputNoQuantizedValues,
             inputTensorInfo,
             kernelNoQuantizedValues,
@@ -1141,6 +1160,7 @@ template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T>
 LayerTestResult<T, 4> Convolution2d2x3x3Dilation3x3Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout)
 {
@@ -1196,6 +1216,7 @@ LayerTestResult<T, 4> Convolution2d2x3x3Dilation3x3Test(
     return Convolution2d3x3DilationTestCommon<ArmnnType, ArmnnBType>(
             workloadFactory,
             memoryManager,
+            tensorHandleFactory,
             inputNoQuantizedValues,
             inputTensorInfo,
             kernelNoQuantizedValues,
@@ -1212,6 +1233,7 @@ template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T>
 LayerTestResult<T, 4> Convolution2d2x2Dilation2x2Padding2x2Stride3x3Test(
         armnn::IWorkloadFactory &workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory,
         bool biasEnabled,
         const armnn::DataLayout layout)
 {
@@ -1256,6 +1278,7 @@ LayerTestResult<T, 4> Convolution2d2x2Dilation2x2Padding2x2Stride3x3Test(
     return Convolution2d3x3DilationTestCommon<ArmnnType, ArmnnBType>(
             workloadFactory,
             memoryManager,
+            tensorHandleFactory,
             inputNoQuantizedValues,
             inputTensorInfo,
             kernelNoQuantizedValues,
@@ -1279,7 +1302,9 @@ template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
 LayerTestResult<T,4> CompareConvolution2dTestImpl(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
-    armnn::IWorkloadFactory& refWorkloadFactory)
+    armnn::IWorkloadFactory& refWorkloadFactory,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
+    const armnn::ITensorHandleFactory& refTensorHandleFactory)
 {
     unsigned int inputHeight   = 8;
     unsigned int inputWidth    = 16;
@@ -1319,10 +1344,10 @@ LayerTestResult<T,4> CompareConvolution2dTestImpl(
     auto input  = MakeRandomTensor<T, 4>(inputTensorInfo, 124908);
     auto kernel = MakeRandomTensor<T, 4>(kernelDesc, 891234);
     auto bias   = MakeRandomTensor<T, 1>(biasDesc, 1028);
-    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::Convolution2dQueueDescriptor data;
     armnn::WorkloadInfo info;
     armnn::ScopedCpuTensorHandle weightsTensor(kernelDesc);
@@ -1342,10 +1367,10 @@ LayerTestResult<T,4> CompareConvolution2dTestImpl(
     data.m_Parameters.m_PadTop = padY;
     data.m_Parameters.m_PadBottom = padY;
     data.m_Parameters.m_BiasEnabled = true;
-    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::Convolution2dQueueDescriptor refData = data;
     armnn::WorkloadInfo               refInfo = info;
     SetWorkloadInput(refData, refInfo, 0, inputTensorInfo, inputHandleRef.get());
@@ -1377,6 +1402,7 @@ LayerTestResult<T,4> CompareConvolution2dTestImpl(
 LayerTestResult<float, 4> Convolution2d3x3Stride2x2BFloat16Test(
         armnn::IWorkloadFactory& workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory,
         bool biasEnabled,
         const armnn::DataLayout& dataLayout)
 {
@@ -1467,6 +1493,7 @@ LayerTestResult<float, 4> Convolution2d3x3Stride2x2BFloat16Test(
         <armnn::DataType::BFloat16, armnn::DataType::Float32, armnn::BFloat16, float, armnn::DataType::Float32, float>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         input,
         kernel,
         boost::multi_array<float, 1>(),
@@ -1485,6 +1512,7 @@ LayerTestResult<float, 4> Convolution2d3x3Stride2x2BFloat16Test(
 LayerTestResult<float, 4> Convolution2d3x3Stride2x2BFloat16SmallValueTest(
         armnn::IWorkloadFactory& workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory,
         bool biasEnabled,
         const armnn::DataLayout& dataLayout)
 {
@@ -1575,6 +1603,7 @@ LayerTestResult<float, 4> Convolution2d3x3Stride2x2BFloat16SmallValueTest(
         <armnn::DataType::BFloat16, armnn::DataType::Float32, armnn::BFloat16, float, armnn::DataType::Float32, float>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         input,
         kernel,
         boost::multi_array<float, 1>(),
@@ -1599,6 +1628,7 @@ template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType,
 LayerTestResult<T, 4> DepthwiseConvolution2dAsymmetricTestImpl(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const boost::multi_array<T, 4>& input,
     const boost::multi_array<T, 4>& kernel,
     const boost::multi_array<B, 1>& bias,
@@ -1689,10 +1719,10 @@ LayerTestResult<T, 4> DepthwiseConvolution2dAsymmetricTestImpl(
     }
 
     ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outputData);
-    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::ScopedCpuTensorHandle weightsTensor(kernelDesc);
 
     AllocateAndCopyDataToITensorHandle(&weightsTensor, &kernel[0][0][0][0]);
@@ -1736,6 +1766,7 @@ template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T = arm
 LayerTestResult<T, 4> DepthwiseConvolution2dDepthMul1TestImpl(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale,
     int32_t qOffset,
     bool biasEnabled,
@@ -1846,10 +1877,10 @@ LayerTestResult<T, 4> DepthwiseConvolution2dDepthMul1TestImpl(
     }
 
     ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outputImage);
-    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::DepthwiseConvolution2dQueueDescriptor data;
     armnn::WorkloadInfo info;
     armnn::ScopedCpuTensorHandle weightsTensor(kernelDesc);
@@ -1889,6 +1920,7 @@ template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T = arm
 LayerTestResult<T, 4> DepthwiseConvolution2dTestImpl(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale,
     int32_t qOffset,
     bool biasEnabled,
@@ -2058,10 +2090,10 @@ LayerTestResult<T, 4> DepthwiseConvolution2dTestImpl(
     }
 
     ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outputImage);
-    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::DepthwiseConvolution2dQueueDescriptor data;
     armnn::WorkloadInfo info;
     armnn::ScopedCpuTensorHandle weightsTensor(kernelDesc);
@@ -2102,6 +2134,7 @@ template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType,
 LayerTestResult<T, 4> DepthwiseConvolution2dTestImpl(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const boost::multi_array<T, 4>& originalInput,
     const boost::multi_array<T, 4>& originalKernel,
     const boost::multi_array<B, 1>& bias,
@@ -2214,10 +2247,10 @@ LayerTestResult<T, 4> DepthwiseConvolution2dTestImpl(
         outputData = tmp;
     }
     ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outputData);
-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::DepthwiseConvolution2dQueueDescriptor data;
     armnn::WorkloadInfo info;
     armnn::ScopedCpuTensorHandle weightsTensor(kernelDesc);
@@ -2265,6 +2298,7 @@ template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType,
 LayerTestResult<T, 4> DepthwiseConvolution2dAsymmetricTestCommon(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale,
     int32_t qOffset,
     bool biasEnabled,
@@ -2329,6 +2363,7 @@ LayerTestResult<T, 4> DepthwiseConvolution2dAsymmetricTestCommon(
     return DepthwiseConvolution2dAsymmetricTestImpl<ArmnnType, ArmnnBType>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         input,
         kernel,
         GetBias2<ArmnnBType>(biasEnabled, qScale * qScale),
@@ -2349,6 +2384,7 @@ template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType,
 LayerTestResult<T, 4> DepthwiseConvolution2dNhwcTestCommon(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale,
     int32_t qOffset,
     bool biasEnabled)
@@ -2410,6 +2446,7 @@ LayerTestResult<T, 4> DepthwiseConvolution2dNhwcTestCommon(
     return DepthwiseConvolution2dTestImpl<ArmnnType, ArmnnBType>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         input,
         kernel,
         GetBias2<ArmnnBType>(biasEnabled, qScale * qScale),
@@ -2430,6 +2467,7 @@ template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType,
 LayerTestResult<T, 4> SimpleDepthwiseConvolution2d3x3Dilation3x3NhwcTestCommon(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     float qScale,
     int32_t qOffset,
     bool biasEnabled)
@@ -2485,6 +2523,7 @@ LayerTestResult<T, 4> SimpleDepthwiseConvolution2d3x3Dilation3x3NhwcTestCommon(
     return DepthwiseConvolution2dTestImpl<ArmnnType, ArmnnBType>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         input,
         kernel,
         GetBias2<ArmnnBType>(biasEnabled, qScale * qScale),
@@ -2506,6 +2545,7 @@ template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T = arm
 LayerTestResult<T, 4> DepthwiseConvolution2d3x3DilationTestCommon(
         armnn::IWorkloadFactory& workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory,
         const std::vector<float>& inputNoQuantizedValues,
         armnn::TensorInfo& inputTensorInfo,
         const std::vector<float>& kernelNoQuantizedValues,
@@ -2574,6 +2614,7 @@ LayerTestResult<T, 4> DepthwiseConvolution2d3x3DilationTestCommon(
     return DepthwiseConvolution2dTestImpl<ArmnnType, ArmnnBType>(
             workloadFactory,
             memoryManager,
+            tensorHandleFactory,
             input,
             kernel,
             GetBias<ArmnnBType>(biasEnabled, qScale * qScale, outputTensorInfo, layout),
@@ -2595,6 +2636,7 @@ template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T>
 LayerTestResult<T, 4> DepthwiseConvolution2d3x3Dilation3x3Test(
         armnn::IWorkloadFactory& workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory,
         bool biasEnabled,
         const armnn::DataLayout layout)
 {
@@ -2635,6 +2677,7 @@ LayerTestResult<T, 4> DepthwiseConvolution2d3x3Dilation3x3Test(
     return DepthwiseConvolution2d3x3DilationTestCommon<ArmnnType, ArmnnBType>(
             workloadFactory,
             memoryManager,
+            tensorHandleFactory,
             inputNoQuantizedValues,
             inputTensorInfo,
             kernelNoQuantizedValues,
@@ -2651,6 +2694,7 @@ template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T>
 LayerTestResult<T, 4> DepthwiseConvolution2d2x3x3Dilation3x3Test(
         armnn::IWorkloadFactory& workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory,
         bool biasEnabled,
         const armnn::DataLayout layout)
 {
@@ -2711,6 +2755,7 @@ LayerTestResult<T, 4> DepthwiseConvolution2d2x3x3Dilation3x3Test(
     return DepthwiseConvolution2d3x3DilationTestCommon<ArmnnType, ArmnnBType>(
             workloadFactory,
             memoryManager,
+            tensorHandleFactory,
             inputNoQuantizedValues,
             inputTensorInfo,
             kernelNoQuantizedValues,
@@ -2727,6 +2772,7 @@ template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T>
 LayerTestResult<T, 4> DepthwiseConvolution2dMult4Test(
             armnn::IWorkloadFactory& workloadFactory,
             const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+            const armnn::ITensorHandleFactory& tensorHandleFactory,
             bool biasEnabled,
             const armnn::DataLayout layout)
 {
@@ -2803,6 +2849,7 @@ LayerTestResult<T, 4> DepthwiseConvolution2dMult4Test(
     return DepthwiseConvolution2d3x3DilationTestCommon<ArmnnType, ArmnnBType>(
             workloadFactory,
             memoryManager,
+            tensorHandleFactory,
             inputNoQuantizedValues,
             inputTensorInfo,
             kernelNoQuantizedValues,
@@ -2819,6 +2866,7 @@ template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T>
 LayerTestResult<T, 4> DepthwiseConvolution2dMult2Test(
             armnn::IWorkloadFactory& workloadFactory,
             const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+            const armnn::ITensorHandleFactory& tensorHandleFactory,
             bool biasEnabled,
             const armnn::DataLayout layout)
 {
@@ -2872,6 +2920,7 @@ LayerTestResult<T, 4> DepthwiseConvolution2dMult2Test(
     return DepthwiseConvolution2d3x3DilationTestCommon<ArmnnType, ArmnnBType>(
             workloadFactory,
             memoryManager,
+            tensorHandleFactory,
             inputNoQuantizedValues,
             inputTensorInfo,
             kernelNoQuantizedValues,
@@ -2889,6 +2938,8 @@ LayerTestResult<T, 4> CompareDepthwiseConvolution2dTestImpl(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
     armnn::IWorkloadFactory& refWorkloadFactory,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
+    const armnn::ITensorHandleFactory& refTensorHandleFactory,
     const armnnUtils::DataLayoutIndexed& layout)
 {
     unsigned int inputHeight = 8;
@@ -2951,10 +3002,10 @@ LayerTestResult<T, 4> CompareDepthwiseConvolution2dTestImpl(
     auto kernel = MakeRandomTensor<T, 4>(kernelDesc, 891234, 0.0f, 255.0f);
     auto bias = MakeRandomTensor<typename FullyConnectedBiasTypeForInputType<T>::Type, 1>(
             biasDesc, 1028, 0.0f, 255.0f);
-    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::DepthwiseConvolution2dQueueDescriptor data;
     armnn::WorkloadInfo info;
     armnn::ScopedCpuTensorHandle weightsTensor(kernelDesc);
@@ -2975,10 +3026,10 @@ LayerTestResult<T, 4> CompareDepthwiseConvolution2dTestImpl(
     data.m_Parameters.m_PadBottom = padY;
     data.m_Parameters.m_BiasEnabled = true;
     data.m_Parameters.m_DataLayout = layout.GetDataLayout();
-    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::DepthwiseConvolution2dQueueDescriptor refData = data;
     armnn::WorkloadInfo refInfo = info;
     SetWorkloadInput(refData, refInfo, 0, inputTensorInfo, inputHandleRef.get());
@@ -3014,6 +3065,7 @@ template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 4>
 Convolution2d3x3Dilation3x3Test<armnn::DataType::BFloat16, armnn::DataType::BFloat16>(
     armnn::IWorkloadFactory&,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr&,
+    const armnn::ITensorHandleFactory&,
     bool,
     armnn::DataLayout);
 
@@ -3021,6 +3073,7 @@ template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4>
 Convolution2d3x3Dilation3x3Test<armnn::DataType::Float32, armnn::DataType::Float32>(
     armnn::IWorkloadFactory&,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr&,
+    const armnn::ITensorHandleFactory&,
     bool,
     armnn::DataLayout);
 
@@ -3028,6 +3081,7 @@ template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 4>
 Convolution2d3x3Dilation3x3Test<armnn::DataType::QAsymmS8, armnn::DataType::Signed32>(
         armnn::IWorkloadFactory&,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr&,
+        const armnn::ITensorHandleFactory&,
         bool,
         armnn::DataLayout);
 
@@ -3035,6 +3089,7 @@ template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 4>
 Convolution2d3x3Dilation3x3Test<armnn::DataType::QAsymmU8, armnn::DataType::Signed32>(
     armnn::IWorkloadFactory&,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr&,
+    const armnn::ITensorHandleFactory&,
     bool,
     armnn::DataLayout);
 
@@ -3042,6 +3097,7 @@ template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 4>
 Convolution2d3x3Dilation3x3Test<armnn::DataType::QSymmS16, armnn::DataType::Signed32>(
     armnn::IWorkloadFactory&,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr&,
+    const armnn::ITensorHandleFactory&,
     bool,
     armnn::DataLayout);
 
@@ -3049,6 +3105,7 @@ template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4>
 Convolution2d2x3x3Dilation3x3Test<armnn::DataType::Float32, armnn::DataType::Float32>(
     armnn::IWorkloadFactory&,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr&,
+    const armnn::ITensorHandleFactory&,
     bool,
     armnn::DataLayout);
 
@@ -3056,6 +3113,7 @@ template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 4>
 Convolution2d2x3x3Dilation3x3Test<armnn::DataType::BFloat16, armnn::DataType::BFloat16>(
     armnn::IWorkloadFactory&,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr&,
+    const armnn::ITensorHandleFactory&,
     bool,
     armnn::DataLayout);
 
@@ -3063,6 +3121,7 @@ template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 4>
 Convolution2d2x3x3Dilation3x3Test<armnn::DataType::QAsymmS8, armnn::DataType::Signed32>(
         armnn::IWorkloadFactory&,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr&,
+        const armnn::ITensorHandleFactory&,
         bool,
         armnn::DataLayout);
 
@@ -3070,6 +3129,7 @@ template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 4>
 Convolution2d2x3x3Dilation3x3Test<armnn::DataType::QAsymmU8, armnn::DataType::Signed32>(
     armnn::IWorkloadFactory&,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr&,
+    const armnn::ITensorHandleFactory&,
     bool,
     armnn::DataLayout);
 
@@ -3077,6 +3137,7 @@ template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 4>
 Convolution2d2x3x3Dilation3x3Test<armnn::DataType::QSymmS16, armnn::DataType::Signed32>(
     armnn::IWorkloadFactory&,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr&,
+    const armnn::ITensorHandleFactory&,
     bool,
     armnn::DataLayout);
 
@@ -3084,6 +3145,7 @@ template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 4>
 Convolution2d2x2Dilation2x2Padding2x2Stride3x3Test<armnn::DataType::BFloat16, armnn::DataType::BFloat16>(
     armnn::IWorkloadFactory &workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout);
 
@@ -3091,6 +3153,7 @@ template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4>
 Convolution2d2x2Dilation2x2Padding2x2Stride3x3Test<armnn::DataType::Float32, armnn::DataType::Float32>(
     armnn::IWorkloadFactory &workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout);
 
@@ -3098,6 +3161,7 @@ template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 4>
 Convolution2d2x2Dilation2x2Padding2x2Stride3x3Test<armnn::DataType::QAsymmS8, armnn::DataType::Signed32>(
         armnn::IWorkloadFactory &workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory,
         bool biasEnabled,
         const armnn::DataLayout layout);
 
@@ -3105,6 +3169,7 @@ template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 4>
 Convolution2d2x2Dilation2x2Padding2x2Stride3x3Test<armnn::DataType::QAsymmU8, armnn::DataType::Signed32>(
     armnn::IWorkloadFactory &workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout);
 
@@ -3112,6 +3177,7 @@ template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 4>
 Convolution2d2x2Dilation2x2Padding2x2Stride3x3Test<armnn::DataType::QSymmS16, armnn::DataType::Signed32>(
     armnn::IWorkloadFactory &workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout);
 
@@ -3119,6 +3185,7 @@ template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 4>
 DepthwiseConvolution2d3x3Dilation3x3Test<armnn::DataType::BFloat16, armnn::DataType::BFloat16>(
         armnn::IWorkloadFactory&,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr&,
+        const armnn::ITensorHandleFactory&,
         bool,
         armnn::DataLayout);
 
@@ -3126,6 +3193,7 @@ template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4>
 DepthwiseConvolution2d3x3Dilation3x3Test<armnn::DataType::Float32, armnn::DataType::Float32>(
         armnn::IWorkloadFactory&,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr&,
+        const armnn::ITensorHandleFactory&,
         bool,
         armnn::DataLayout);
 
@@ -3133,6 +3201,7 @@ template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 4>
 DepthwiseConvolution2d3x3Dilation3x3Test<armnn::DataType::QAsymmS8, armnn::DataType::Signed32>(
         armnn::IWorkloadFactory&,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr&,
+        const armnn::ITensorHandleFactory&,
         bool,
         armnn::DataLayout);
 
@@ -3140,6 +3209,7 @@ template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 4>
 DepthwiseConvolution2d3x3Dilation3x3Test<armnn::DataType::QAsymmU8, armnn::DataType::Signed32>(
         armnn::IWorkloadFactory&,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr&,
+        const armnn::ITensorHandleFactory&,
         bool,
         armnn::DataLayout);
 
@@ -3147,6 +3217,7 @@ template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 4>
 DepthwiseConvolution2d3x3Dilation3x3Test<armnn::DataType::QSymmS16, armnn::DataType::Signed32>(
         armnn::IWorkloadFactory&,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr&,
+        const armnn::ITensorHandleFactory&,
         bool,
         armnn::DataLayout);
 
@@ -3154,6 +3225,7 @@ template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 4>
 DepthwiseConvolution2d2x3x3Dilation3x3Test<armnn::DataType::BFloat16, armnn::DataType::BFloat16>(
         armnn::IWorkloadFactory&,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr&,
+        const armnn::ITensorHandleFactory&,
         bool,
         armnn::DataLayout);
 
@@ -3161,6 +3233,7 @@ template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4>
 DepthwiseConvolution2d2x3x3Dilation3x3Test<armnn::DataType::Float32, armnn::DataType::Float32>(
         armnn::IWorkloadFactory&,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr&,
+        const armnn::ITensorHandleFactory&,
         bool,
         armnn::DataLayout);
 
@@ -3168,6 +3241,7 @@ template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 4>
 DepthwiseConvolution2d2x3x3Dilation3x3Test<armnn::DataType::QAsymmS8, armnn::DataType::Signed32>(
         armnn::IWorkloadFactory&,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr&,
+        const armnn::ITensorHandleFactory&,
         bool,
         armnn::DataLayout);
 
@@ -3175,6 +3249,7 @@ template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 4>
 DepthwiseConvolution2d2x3x3Dilation3x3Test<armnn::DataType::QAsymmU8, armnn::DataType::Signed32>(
         armnn::IWorkloadFactory&,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr&,
+        const armnn::ITensorHandleFactory&,
         bool,
         armnn::DataLayout);
 
@@ -3182,6 +3257,7 @@ template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 4>
 DepthwiseConvolution2d2x3x3Dilation3x3Test<armnn::DataType::QSymmS16, armnn::DataType::Signed32>(
         armnn::IWorkloadFactory&,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr&,
+        const armnn::ITensorHandleFactory&,
         bool,
         armnn::DataLayout);
 
@@ -3189,6 +3265,7 @@ template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 4>
 DepthwiseConvolution2dMult4Test<armnn::DataType::BFloat16, armnn::DataType::BFloat16>(
         armnn::IWorkloadFactory &workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory,
         bool biasEnabled,
         const armnn::DataLayout layout);
 
@@ -3196,6 +3273,7 @@ template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4>
 DepthwiseConvolution2dMult4Test<armnn::DataType::Float32, armnn::DataType::Float32>(
         armnn::IWorkloadFactory &workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory,
         bool biasEnabled,
         const armnn::DataLayout layout);
 
@@ -3203,6 +3281,7 @@ template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 4>
 DepthwiseConvolution2dMult2Test<armnn::DataType::BFloat16, armnn::DataType::BFloat16>(
         armnn::IWorkloadFactory &workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory,
         bool biasEnabled,
         const armnn::DataLayout layout);
 
@@ -3210,6 +3289,7 @@ template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4>
 DepthwiseConvolution2dMult2Test<armnn::DataType::Float32, armnn::DataType::Float32>(
         armnn::IWorkloadFactory &workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory,
         bool biasEnabled,
         const armnn::DataLayout layout);
 
@@ -3220,41 +3300,46 @@ DepthwiseConvolution2dMult2Test<armnn::DataType::Float32, armnn::DataType::Float
 LayerTestResult<float, 4> SimpleConvolution2d3x5Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout)
 {
     return SimpleConvolution2d3x5TestCommon<armnn::DataType::Float32, armnn::DataType::Float32>(
-        workloadFactory, memoryManager, 0.f, 0, biasEnabled, layout);
+        workloadFactory, memoryManager, tensorHandleFactory, 0.f, 0, biasEnabled, layout);
 }
 
 LayerTestResult<uint8_t, 4> SimpleConvolution2d3x5Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout)
 {
     return SimpleConvolution2d3x5TestCommon<armnn::DataType::QAsymmU8, armnn::DataType::Signed32>(
-        workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout);
+        workloadFactory, memoryManager, tensorHandleFactory, 0.5f, 50, biasEnabled, layout);
 }
 
 LayerTestResult<float, 4> SimpleConvolution2d3x3Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout)
 {
     return SimpleConvolution2d3x3TestCommon<armnn::DataType::Float32, armnn::DataType::Float32>(
-        workloadFactory, memoryManager, 0.f, 0, biasEnabled, layout);
+        workloadFactory, memoryManager, tensorHandleFactory, 0.f, 0, biasEnabled, layout);
 }
 
 LayerTestResult<float, 4> SimpleConvolution2d3x3NhwcTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled)
 {
     return SimpleConvolution2d3x3NhwcTestCommon<armnn::DataType::Float32>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         0.f,
         0,
         biasEnabled,
@@ -3264,12 +3349,14 @@ LayerTestResult<float, 4> SimpleConvolution2d3x3NhwcTest(
 LayerTestResult<float, 4> SimpleConvolution2d3x3Stride2x2Test(
         armnn::IWorkloadFactory& workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory,
         bool biasEnabled,
         const armnn::DataLayout layout)
 {
     return SimpleConvolution2d3x3Stride2x2TestCommon<armnn::DataType::Float32>(
         workloadFactory,
         memoryManager,
+        tensorHandleFactory,
         0.f,
         0,
         biasEnabled,
@@ -3279,73 +3366,81 @@ LayerTestResult<float, 4> SimpleConvolution2d3x3Stride2x2Test(
 LayerTestResult<uint8_t, 4> SimpleConvolution2d3x3Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout)
 {
     return SimpleConvolution2d3x3TestCommon<armnn::DataType::QAsymmU8, armnn::DataType::Signed32>(
-        workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout);
+        workloadFactory, memoryManager, tensorHandleFactory, 0.5f, 50, biasEnabled, layout);
 }
 
 LayerTestResult<int16_t, 4> SimpleConvolution2d3x5QSymm16Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout)
 {
     return SimpleConvolution2d3x5TestCommon<armnn::DataType::QSymmS16, armnn::DataType::Signed32>(
-        workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout);
+        workloadFactory, memoryManager, tensorHandleFactory, 0.5f, 50, biasEnabled, layout);
 }
 
 LayerTestResult<int16_t, 4> SimpleConvolution2d3x3QSymm16Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout)
 {
     return SimpleConvolution2d3x3TestCommon<armnn::DataType::QSymmS16, armnn::DataType::Signed32>(
-            workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout);
+            workloadFactory, memoryManager, tensorHandleFactory, 0.5f, 50, biasEnabled, layout);
 }
 
 LayerTestResult<float, 4> Convolution2dAsymmetricPaddingTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     armnn::DataLayout layout)
 {
     return SimpleConvolution2dAsymmetricPaddingTestCommon<armnn::DataType::Float32, armnn::DataType::Float32>(
-            workloadFactory, memoryManager, layout, 0.0f, 0);
+            workloadFactory, memoryManager, tensorHandleFactory, layout, 0.0f, 0);
 }
 
 LayerTestResult<float, 4> Convolution2dAsymmetricPaddingLargerThanHalfKernelSizeTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     armnn::DataLayout layout)
 {
     return Convolution2dAsymmetricPaddingLargerThanHalfKernelSizeTestCommon
             <armnn::DataType::Float32, armnn::DataType::Float32>(
-            workloadFactory, memoryManager, layout, 0.0f, 0);
+            workloadFactory, memoryManager, tensorHandleFactory, layout, 0.0f, 0);
 }
 
 LayerTestResult<float, 4> Convolution1dTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled)
 {
     return Convolution1dTestImpl<armnn::DataType::Float32, armnn::DataType::Float32>(
-            workloadFactory, memoryManager, 0.0f, 0, biasEnabled);
+            workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0, biasEnabled);
 }
 
 LayerTestResult<uint8_t, 4> Convolution1dUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled)
 {
     return Convolution1dTestImpl<armnn::DataType::QAsymmU8, armnn::DataType::Signed32>(
-            workloadFactory, memoryManager, 0.1f, 128, biasEnabled);
+            workloadFactory, memoryManager, tensorHandleFactory, 0.1f, 128, biasEnabled);
 }
 
 LayerTestResult<uint8_t, 4> Convolution2dPerAxisQuantTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const armnn::DataLayout layout)
 {
     using namespace armnn;
@@ -3402,10 +3497,10 @@ LayerTestResult<uint8_t, 4> Convolution2dPerAxisQuantTest(
     descriptor.m_BiasEnabled = true;
     descriptor.m_DataLayout  = layout;
 
-    ARMNN_NO_DEPRECATE_WARN_BEGIN
-    std::unique_ptr<ITensorHandle> inputHandle  = workloadFactory.CreateTensorHandle(inputInfo);
-    std::unique_ptr<ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputInfo);
-    ARMNN_NO_DEPRECATE_WARN_END
+
+    std::unique_ptr<ITensorHandle> inputHandle  = tensorHandleFactory.CreateTensorHandle(inputInfo);
+    std::unique_ptr<ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputInfo);
+
 
     WorkloadInfo workloadInfo;
     ScopedCpuTensorHandle weightTensor(kernelInfo);
@@ -3440,44 +3535,50 @@ LayerTestResult<uint8_t, 4> Convolution2dPerAxisQuantTest(
 LayerTestResult<float,4> CompareConvolution2dTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
-    armnn::IWorkloadFactory& refWorkloadFactory)
+    armnn::IWorkloadFactory& refWorkloadFactory,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
+    const armnn::ITensorHandleFactory& refTensorHandleFactory)
 {
     return CompareConvolution2dTestImpl<armnn::DataType::Float32>(
-            workloadFactory, memoryManager, refWorkloadFactory);
+            workloadFactory, memoryManager, refWorkloadFactory, tensorHandleFactory, refTensorHandleFactory);
 }
 
 LayerTestResult<float, 4> DepthwiseConvolution2dTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout)
 {
     return DepthwiseConvolution2dTestImpl<armnn::DataType::Float32, armnn::DataType::Float32>(
-        workloadFactory, memoryManager, 0.0f, 0, biasEnabled, layout);
+        workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0, biasEnabled, layout);
 }
 
 LayerTestResult<float, 4> DepthwiseConvolution2dDepthNhwcTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled)
 {
     return DepthwiseConvolution2dNhwcTestCommon<armnn::DataType::Float32, armnn::DataType::Float32>(
-        workloadFactory, memoryManager, 0.0f, 0, biasEnabled);
+        workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0, biasEnabled);
 }
 
 LayerTestResult<float, 4> DepthwiseConvolution2dDepthMul1Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout)
 {
     return DepthwiseConvolution2dDepthMul1TestImpl<armnn::DataType::Float32, armnn::DataType::Float32>(
-        workloadFactory, memoryManager, 0.0f, 0, biasEnabled, layout);
+        workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0, biasEnabled, layout);
 }
 
 LayerTestResult<float, 4> DepthwiseConvolution2dDepthMul64Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     armnn::TensorInfo inputTensorInfo({ 1, 1, 2, 2 }, armnn::DataType::Float32);
     auto input = MakeTensor<float, 4>(inputTensorInfo, { 1.f, 2.f, 3.f, 4.f });
@@ -3498,6 +3599,7 @@ LayerTestResult<float, 4> DepthwiseConvolution2dDepthMul64Test(
     return DepthwiseConvolution2dTestImpl<armnn::DataType::Float32, armnn::DataType::Float32>(
             workloadFactory,
             memoryManager,
+            tensorHandleFactory,
             input,
             kernel,
             boost::multi_array<float, 1>(),
@@ -3510,40 +3612,45 @@ LayerTestResult<float, 4> DepthwiseConvolution2dDepthMul64Test(
 LayerTestResult<float, 4> DepthwiseConvolution2dAsymmetricTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout)
 {
     return DepthwiseConvolution2dAsymmetricTestCommon<armnn::DataType::Float32, armnn::DataType::Float32>(
-        workloadFactory, memoryManager, 0.0f, 0, biasEnabled, layout);
+        workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0, biasEnabled, layout);
 }
 
 LayerTestResult<uint8_t, 4> DepthwiseConvolution2dUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout)
 {
     return DepthwiseConvolution2dTestImpl<armnn::DataType::QAsymmU8, armnn::DataType::Signed32>(
-        workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout);
+        workloadFactory, memoryManager, tensorHandleFactory, 0.5f, 50, biasEnabled, layout);
 }
 
 LayerTestResult<uint8_t, 4> DepthwiseConvolution2dDepthMul1Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout)
 {
     return DepthwiseConvolution2dDepthMul1TestImpl<armnn::DataType::QAsymmU8, armnn::DataType::Signed32>(
-        workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout);
+        workloadFactory, memoryManager, tensorHandleFactory, 0.5f, 50, biasEnabled, layout);
 }
 
 LayerTestResult<float, 4> SimpleDepthwiseConvolution2d3x3Dilation3x3NhwcTest(
         armnn::IWorkloadFactory& workloadFactory,
-        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     return SimpleDepthwiseConvolution2d3x3Dilation3x3NhwcTestCommon<armnn::DataType::Float32, armnn::DataType::Float32>(
             workloadFactory,
             memoryManager,
+            tensorHandleFactory,
             0.f,
             0,
             false);
@@ -3552,26 +3659,29 @@ LayerTestResult<float, 4> SimpleDepthwiseConvolution2d3x3Dilation3x3NhwcTest(
 LayerTestResult<int16_t, 4> DepthwiseConvolution2dInt16Test(
         armnn::IWorkloadFactory& workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory,
         bool biasEnabled,
         const armnn::DataLayout layout)
 {
     return DepthwiseConvolution2dTestImpl<armnn::DataType::QSymmS16, armnn::DataType::Signed32>(
-        workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout);
+        workloadFactory, memoryManager, tensorHandleFactory, 0.5f, 50, biasEnabled, layout);
 }
 
 LayerTestResult<int16_t, 4> DepthwiseConvolution2dDepthMul1Int16Test(
                 armnn::IWorkloadFactory& workloadFactory,
                 const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+                const armnn::ITensorHandleFactory& tensorHandleFactory,
                 bool biasEnabled,
                 const armnn::DataLayout layout)
 {
     return DepthwiseConvolution2dDepthMul1TestImpl<armnn::DataType::QSymmS16, armnn::DataType::Signed32>(
-        workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout);
+        workloadFactory, memoryManager, tensorHandleFactory, 0.5f, 50, biasEnabled, layout);
 }
 
 LayerTestResult<uint8_t, 4> DepthwiseConvolution2dPerAxisQuantTest(
         armnn::IWorkloadFactory& workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory,
         const armnn::DataLayout layout)
 {
     using namespace armnn;
@@ -3643,10 +3753,8 @@ LayerTestResult<uint8_t, 4> DepthwiseConvolution2dPerAxisQuantTest(
     descriptor.m_BiasEnabled = true;
     descriptor.m_DataLayout  = layout;
 
-    ARMNN_NO_DEPRECATE_WARN_BEGIN
-    std::unique_ptr<ITensorHandle> inputHandle  = workloadFactory.CreateTensorHandle(inputInfo);
-    std::unique_ptr<ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputInfo);
-    ARMNN_NO_DEPRECATE_WARN_END
+    std::unique_ptr<ITensorHandle> inputHandle  = tensorHandleFactory.CreateTensorHandle(inputInfo);
+    std::unique_ptr<ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputInfo);
 
     WorkloadInfo workloadInfo;
     ScopedCpuTensorHandle weightTensor(kernelInfo);
@@ -3683,18 +3791,22 @@ LayerTestResult<float, 4> CompareDepthwiseConvolution2dFloatTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
     armnn::IWorkloadFactory& refWorkloadFactory,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
+    const armnn::ITensorHandleFactory& refTensorHandleFactory,
     const armnn::DataLayout layout)
 {
     return CompareDepthwiseConvolution2dTestImpl<armnn::DataType::Float32>(
-        workloadFactory, memoryManager, refWorkloadFactory, layout);
+        workloadFactory, memoryManager, refWorkloadFactory, tensorHandleFactory, refTensorHandleFactory, layout);
 }
 
 LayerTestResult<uint8_t, 4> CompareDepthwiseConvolution2dUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
     armnn::IWorkloadFactory& refWorkloadFactory,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
+    const armnn::ITensorHandleFactory& refTensorHandleFactory,
     const armnn::DataLayout layout)
 {
     return CompareDepthwiseConvolution2dTestImpl<armnn::DataType::QAsymmU8>(
-        workloadFactory, memoryManager, refWorkloadFactory, layout);
+        workloadFactory, memoryManager, refWorkloadFactory, tensorHandleFactory, refTensorHandleFactory, layout);
 }
diff --git a/src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.hpp b/src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.hpp
index 21c4cf9bf0..1f54034703 100644
--- a/src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.hpp
+++ b/src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.hpp
@@ -22,6 +22,7 @@ template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T = arm
 LayerTestResult<T, 4> Convolution2d3x3Dilation3x3Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout);
 
@@ -29,6 +30,7 @@ template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T = arm
 LayerTestResult<T, 4> Convolution2d2x3x3Dilation3x3Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout);
 
@@ -36,95 +38,113 @@ template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T = arm
 LayerTestResult<T, 4> Convolution2d2x2Dilation2x2Padding2x2Stride3x3Test(
     armnn::IWorkloadFactory &workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout);
 
 LayerTestResult<float, 4> SimpleConvolution2d3x5Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout);
 
 LayerTestResult<float, 4> SimpleConvolution2d3x3Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout);
 
 LayerTestResult<float, 4> SimpleConvolution2d3x3Stride2x2Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout);
 
 LayerTestResult<float, 4> SimpleConvolution2d3x3NhwcTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled);
 
 LayerTestResult<uint8_t, 4> SimpleConvolution2d3x5Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout);
 
 LayerTestResult<uint8_t, 4> SimpleConvolution2d3x3Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout);
 
 LayerTestResult<int16_t, 4> SimpleConvolution2d3x5QSymm16Test(
         armnn::IWorkloadFactory& workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory,
         bool biasEnabled,
         const armnn::DataLayout layout);
 
 LayerTestResult<int16_t, 4> SimpleConvolution2d3x3QSymm16Test(
         armnn::IWorkloadFactory& workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory,
         bool biasEnabled,
         const armnn::DataLayout layout);
 
 LayerTestResult<float, 4> Convolution2dAsymmetricPaddingLargerThanHalfKernelSizeTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     armnn::DataLayout layout);
 
 LayerTestResult<float, 4> Convolution2dAsymmetricPaddingTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     armnn::DataLayout layout);
 
 LayerTestResult<float,   4> Convolution1dTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled);
 
 LayerTestResult<uint8_t, 4> Convolution1dUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled);
 
 LayerTestResult<float, 4> CompareConvolution2dTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
-    armnn::IWorkloadFactory& refWorkloadFactory);
+    armnn::IWorkloadFactory& refWorkloadFactory,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
+    const armnn::ITensorHandleFactory& refTensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> Convolution2dPerAxisQuantTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const armnn::DataLayout layout);
 
 LayerTestResult<float, 4> Convolution2d3x3Stride2x2BFloat16Test(
         armnn::IWorkloadFactory& workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory,
         bool biasEnabled,
         const armnn::DataLayout& dataLayout);
 
 LayerTestResult<float, 4> Convolution2d3x3Stride2x2BFloat16SmallValueTest(
         armnn::IWorkloadFactory& workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory,
         bool biasEnabled,
         const armnn::DataLayout& dataLayout);
 
@@ -136,6 +156,7 @@ template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T = arm
 LayerTestResult<T, 4> DepthwiseConvolution2d3x3Dilation3x3Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout);
 
@@ -143,6 +164,7 @@ template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T = arm
 LayerTestResult<T, 4> DepthwiseConvolution2d2x3x3Dilation3x3Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout);
 
@@ -150,6 +172,7 @@ template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T = arm
 LayerTestResult<T, 4> DepthwiseConvolution2dMult4Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout);
 
@@ -157,6 +180,7 @@ template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T = arm
 LayerTestResult<T, 4> DepthwiseConvolution2dMult2Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout);
 
@@ -165,76 +189,93 @@ LayerTestResult<T, 4> CompareDepthwiseConvolution2dTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
     armnn::IWorkloadFactory& refWorkloadFactory,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
+    const armnn::ITensorHandleFactory& refTensorHandleFactory,
     const armnn::DataLayout layout);
 
 LayerTestResult<float, 4> DepthwiseConvolution2dTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout);
 
 LayerTestResult<float, 4> DepthwiseConvolution2dDepthNhwcTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled);
 
 LayerTestResult<float, 4> DepthwiseConvolution2dDepthMul1Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout);
 
 LayerTestResult<float, 4> DepthwiseConvolution2dDepthMul64Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<float, 4> DepthwiseConvolution2dAsymmetricTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout);
 
 LayerTestResult<float, 4> SimpleDepthwiseConvolution2d3x3Dilation3x3NhwcTest(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
 
 LayerTestResult<uint8_t, 4> DepthwiseConvolution2dUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout);
 
 LayerTestResult<uint8_t, 4> DepthwiseConvolution2dDepthMul1Uint8Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout);
 
 LayerTestResult<int16_t, 4> DepthwiseConvolution2dInt16Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout);
 
 LayerTestResult<int16_t, 4> DepthwiseConvolution2dDepthMul1Int16Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout);
 
 LayerTestResult<uint8_t, 4> DepthwiseConvolution2dPerAxisQuantTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const armnn::DataLayout layout);
 
 LayerTestResult<float, 4> CompareDepthwiseConvolution2dFloatTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
     armnn::IWorkloadFactory& refWorkloadFactory,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
+    const armnn::ITensorHandleFactory& refTensorHandleFactory,
     const armnn::DataLayout layout);
 
 LayerTestResult<uint8_t, 4> CompareDepthwiseConvolution2dUint8Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
     armnn::IWorkloadFactory& refWorkloadFactory,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
+    const armnn::ITensorHandleFactory& refTensorHandleFactory,
     const armnn::DataLayout layout);
diff --git a/src/backends/backendsCommon/test/layerTests/ConvertBf16ToFp32TestImpl.cpp b/src/backends/backendsCommon/test/layerTests/ConvertBf16ToFp32TestImpl.cpp
index e85af5683f..fdc6220d51 100644
--- a/src/backends/backendsCommon/test/layerTests/ConvertBf16ToFp32TestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/ConvertBf16ToFp32TestImpl.cpp
@@ -12,7 +12,8 @@
 
 LayerTestResult<float, 4> ConvertBf16ToFp32Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     IgnoreUnused(memoryManager);
 
@@ -33,10 +34,8 @@ LayerTestResult<float, 4> ConvertBf16ToFp32Test(
         { -37.5f, -15.2f, -8.76f, -2.0f, -1.5f, -1.3f, -0.5f, -0.4f, 0.0f,
           1.0f, 0.4f, 0.5f, 1.3f, 1.5f, 2.0f, 8.76f, 15.2f, 37.5f });
 
-    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::ConvertBf16ToFp32QueueDescriptor data;
     armnn::WorkloadInfo info;
diff --git a/src/backends/backendsCommon/test/layerTests/ConvertBf16ToFp32TestImpl.hpp b/src/backends/backendsCommon/test/layerTests/ConvertBf16ToFp32TestImpl.hpp
index 717ec6a121..08f4c04074 100644
--- a/src/backends/backendsCommon/test/layerTests/ConvertBf16ToFp32TestImpl.hpp
+++ b/src/backends/backendsCommon/test/layerTests/ConvertBf16ToFp32TestImpl.hpp
@@ -14,4 +14,5 @@
 
 LayerTestResult<float, 4> ConvertBf16ToFp32Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
diff --git a/src/backends/backendsCommon/test/layerTests/ConvertFp16ToFp32TestImpl.cpp b/src/backends/backendsCommon/test/layerTests/ConvertFp16ToFp32TestImpl.cpp
index fa2341e3a4..8745a5293b 100644
--- a/src/backends/backendsCommon/test/layerTests/ConvertFp16ToFp32TestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/ConvertFp16ToFp32TestImpl.cpp
@@ -15,7 +15,8 @@
 
 LayerTestResult<float, 4> SimpleConvertFp16ToFp32Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     IgnoreUnused(memoryManager);
     using namespace half_float::literal;
@@ -31,10 +32,10 @@ LayerTestResult<float, 4> SimpleConvertFp16ToFp32Test(
     ret.outputExpected = MakeTensor<float, 4>(outputTensorInfo,
         { -37.5f, -15.2f, -8.76f, -2.0f, -1.5f, -1.3f, -0.5f, -0.4f, 0.0f,
           1.0f, 0.4f, 0.5f, 1.3f, 1.5f, 2.0f, 8.76f, 15.2f, 37.5f });
-    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::ConvertFp16ToFp32QueueDescriptor data;
     armnn::WorkloadInfo info;
     AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());
diff --git a/src/backends/backendsCommon/test/layerTests/ConvertFp16ToFp32TestImpl.hpp b/src/backends/backendsCommon/test/layerTests/ConvertFp16ToFp32TestImpl.hpp
index f0f1a4bfb5..8eefb77892 100644
--- a/src/backends/backendsCommon/test/layerTests/ConvertFp16ToFp32TestImpl.hpp
+++ b/src/backends/backendsCommon/test/layerTests/ConvertFp16ToFp32TestImpl.hpp
@@ -12,4 +12,5 @@
 
 LayerTestResult<float, 4> SimpleConvertFp16ToFp32Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
diff --git a/src/backends/backendsCommon/test/layerTests/ConvertFp32ToBf16TestImpl.cpp b/src/backends/backendsCommon/test/layerTests/ConvertFp32ToBf16TestImpl.cpp
index c721304b84..db832594cd 100644
--- a/src/backends/backendsCommon/test/layerTests/ConvertFp32ToBf16TestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/ConvertFp32ToBf16TestImpl.cpp
@@ -12,7 +12,8 @@
 
 LayerTestResult<armnn::BFloat16, 4> ConvertFp32ToBf16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     IgnoreUnused(memoryManager);
 
@@ -53,10 +54,10 @@ LayerTestResult<armnn::BFloat16, 4> ConvertFp32ToBf16Test(
 
     LayerTestResult<armnn::BFloat16, 4> ret(outputTensorInfo);
     ret.outputExpected = MakeTensor<armnn::BFloat16, 4>(outputTensorInfo, outputValues);
-    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::ConvertFp32ToBf16QueueDescriptor data;
     armnn::WorkloadInfo info;
     AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());
diff --git a/src/backends/backendsCommon/test/layerTests/ConvertFp32ToBf16TestImpl.hpp b/src/backends/backendsCommon/test/layerTests/ConvertFp32ToBf16TestImpl.hpp
index 4c6125f585..9e1da65c2e 100644
--- a/src/backends/backendsCommon/test/layerTests/ConvertFp32ToBf16TestImpl.hpp
+++ b/src/backends/backendsCommon/test/layerTests/ConvertFp32ToBf16TestImpl.hpp
@@ -14,4 +14,5 @@
 
 LayerTestResult<armnn::BFloat16, 4> ConvertFp32ToBf16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
diff --git a/src/backends/backendsCommon/test/layerTests/ConvertFp32ToFp16TestImpl.cpp b/src/backends/backendsCommon/test/layerTests/ConvertFp32ToFp16TestImpl.cpp
index 2041470aeb..5fbec56435 100644
--- a/src/backends/backendsCommon/test/layerTests/ConvertFp32ToFp16TestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/ConvertFp32ToFp16TestImpl.cpp
@@ -13,7 +13,8 @@
 
 LayerTestResult<armnn::Half, 4> SimpleConvertFp32ToFp16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     IgnoreUnused(memoryManager);
     using namespace half_float::literal;
@@ -29,10 +30,10 @@ LayerTestResult<armnn::Half, 4> SimpleConvertFp32ToFp16Test(
     ret.outputExpected = MakeTensor<armnn::Half, 4>(outputTensorInfo,
         { -37.5_h, -15.2_h, -8.76_h, -2.0_h, -1.5_h, -1.3_h, -0.5_h, -0.4_h, 0.0_h,
           1.0_h, 0.4_h, 0.5_h, 1.3_h, 1.5_h, 2.0_h, 8.76_h, 15.2_h, 37.5_h });
-    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::ConvertFp32ToFp16QueueDescriptor data;
     armnn::WorkloadInfo info;
     AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());
diff --git a/src/backends/backendsCommon/test/layerTests/ConvertFp32ToFp16TestImpl.hpp b/src/backends/backendsCommon/test/layerTests/ConvertFp32ToFp16TestImpl.hpp
index 263724710c..39dc8a4d4d 100644
--- a/src/backends/backendsCommon/test/layerTests/ConvertFp32ToFp16TestImpl.hpp
+++ b/src/backends/backendsCommon/test/layerTests/ConvertFp32ToFp16TestImpl.hpp
@@ -14,4 +14,5 @@
 
 LayerTestResult<armnn::Half, 4> SimpleConvertFp32ToFp16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
-- 
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