IVGCVSW-4874 Provide LayerSupportHandle to frontend users

 * Add test for new IsBackendRegistered member function of Handle
 * Move deprecated messages to new frontend API of LayerSupportHandle
 * Update delegate to use dot operator for IsXXXLayerSupported

Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
Change-Id: I70d7166e207a10e4b3583a827ca0dda2169bcba1
!android-nn-driver:4940

5 files changed, 1115 insertions, 15 deletions

diff --git a/delegate/src/DelegateUtils.hpp b/delegate/src/DelegateUtils.hpp
index 58eeb9ab63..17261e4d40 100644
--- a/delegate/src/DelegateUtils.hpp
+++ b/delegate/src/DelegateUtils.hpp
@@ -29,11 +29,11 @@ try \
     for (auto&& backendId : backends) \
     { \
         auto layerSupportObject = armnn::GetILayerSupportByBackendId(backendId); \
-        if (layerSupportObject) \
+        if (layerSupportObject.IsBackendRegistered()) \
         { \
             std::string reasonIfUnsupported; \
             supported = \
-                layerSupportObject->func(__VA_ARGS__, armnn::Optional<std::string&>(reasonIfUnsupported)); \
+                layerSupportObject.func(__VA_ARGS__, armnn::Optional<std::string&>(reasonIfUnsupported)); \
             if (supported) \
             { \
                 break; \
diff --git a/include/armnn/BackendHelper.hpp b/include/armnn/BackendHelper.hpp
index 6a6c8b9c15..3d0632da5e 100644
--- a/include/armnn/BackendHelper.hpp
+++ b/include/armnn/BackendHelper.hpp
@@ -11,7 +11,415 @@
 namespace armnn
 {
 
-/// Convenience function to retrieve the ILayerSupport for a backend
-std::shared_ptr<ILayerSupport> GetILayerSupportByBackendId(const armnn::BackendId& backend);
+// This handle calls its own IsXXXLayerSupported() functions which then call the polymorphic
+// ILayerSupport::IsXXXLayerSupported() at the framework level so there is no risk of VTable misalignment.
+// This is to make ILayerSupport in its abstract form a solely Backend interface alongside a
+// separate ABI stable frontend class free of virtual functions via an added layer of indirection.
+class LayerSupportHandle
+{
+public:
+    explicit LayerSupportHandle(std::shared_ptr<ILayerSupport> layerSupport)
+        : m_LayerSupport(std::move(layerSupport)) {};
+
+    bool IsBackendRegistered() const;
+
+    ARMNN_DEPRECATED_MSG("Use IsElementwiseUnarySupported instead")
+    bool IsAbsSupported(const TensorInfo& input,
+                        const TensorInfo& output,
+                        Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsActivationSupported(const TensorInfo& input,
+                               const TensorInfo& output,
+                               const ActivationDescriptor& descriptor,
+                               Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsAdditionSupported(const TensorInfo& input0,
+                             const TensorInfo& input1,
+                             const TensorInfo& output,
+                             Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsArgMinMaxSupported(const TensorInfo& input,
+                              const TensorInfo& output,
+                              const ArgMinMaxDescriptor& descriptor,
+                              Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsBatchNormalizationSupported(const TensorInfo& input,
+                                       const TensorInfo& output,
+                                       const TensorInfo& mean,
+                                       const TensorInfo& var,
+                                       const TensorInfo& beta,
+                                       const TensorInfo& gamma,
+                                       const BatchNormalizationDescriptor& descriptor,
+                                       Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsBatchToSpaceNdSupported(const TensorInfo& input,
+                                   const TensorInfo& output,
+                                   const BatchToSpaceNdDescriptor& descriptor,
+                                   Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsComparisonSupported(const TensorInfo& input0,
+                               const TensorInfo& input1,
+                               const TensorInfo& output,
+                               const ComparisonDescriptor& descriptor,
+                               Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsConcatSupported(const std::vector<const TensorInfo*> inputs,
+                           const TensorInfo& output,
+                           const OriginsDescriptor& descriptor,
+                           Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsConstantSupported(const TensorInfo& output,
+                             Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsConvertBf16ToFp32Supported(const TensorInfo& input,
+                                      const TensorInfo& output,
+                                      Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsConvertFp32ToBf16Supported(const TensorInfo& input,
+                                      const TensorInfo& output,
+                                      Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsConvertFp16ToFp32Supported(const TensorInfo& input,
+                                      const TensorInfo& output,
+                                      Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsConvertFp32ToFp16Supported(const TensorInfo& input,
+                                      const TensorInfo& output,
+                                      Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsConvolution2dSupported(const TensorInfo& input,
+                                  const TensorInfo& output,
+                                  const Convolution2dDescriptor& descriptor,
+                                  const TensorInfo& weights,
+                                  const Optional<TensorInfo>& biases,
+                                  Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsDebugSupported(const TensorInfo& input,
+                          const TensorInfo& output,
+                          Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsDepthToSpaceSupported(const TensorInfo& input,
+                                 const TensorInfo& output,
+                                 const DepthToSpaceDescriptor& descriptor,
+                                 Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsDepthwiseConvolutionSupported(
+            const TensorInfo& input,
+            const TensorInfo& output,
+            const DepthwiseConvolution2dDescriptor& descriptor,
+            const TensorInfo& weights,
+            const Optional<TensorInfo>& biases,
+            Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsDequantizeSupported(const TensorInfo& input,
+                               const TensorInfo& output,
+                               Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsDetectionPostProcessSupported(const TensorInfo& boxEncodings,
+                                         const TensorInfo& scores,
+                                         const TensorInfo& anchors,
+                                         const TensorInfo& detectionBoxes,
+                                         const TensorInfo& detectionClasses,
+                                         const TensorInfo& detectionScores,
+                                         const TensorInfo& numDetections,
+                                         const DetectionPostProcessDescriptor& descriptor,
+                                         Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsDilatedDepthwiseConvolutionSupported(
+            const TensorInfo& input,
+            const TensorInfo& output,
+            const DepthwiseConvolution2dDescriptor& descriptor,
+            const TensorInfo& weights,
+            const Optional<TensorInfo>& biases,
+            Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsDivisionSupported(const TensorInfo& input0,
+                             const TensorInfo& input1,
+                             const TensorInfo& output,
+                             Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsElementwiseUnarySupported(const TensorInfo& input,
+                                     const TensorInfo& output,
+                                     const ElementwiseUnaryDescriptor& descriptor,
+                                     Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    ARMNN_DEPRECATED_MSG("Use IsComparisonSupported instead")
+    bool IsEqualSupported(const TensorInfo& input0,
+                          const TensorInfo& input1,
+                          const TensorInfo& output,
+                          Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsFakeQuantizationSupported(const TensorInfo& input,
+                                     const FakeQuantizationDescriptor& descriptor,
+                                     Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsFillSupported(const TensorInfo& input,
+                         const TensorInfo& output,
+                         const FillDescriptor& descriptor,
+                         Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsFloorSupported(const TensorInfo& input,
+                          const TensorInfo& output,
+                          Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsFullyConnectedSupported(const TensorInfo& input,
+                                   const TensorInfo& output,
+                                   const TensorInfo& weights,
+                                   const TensorInfo& biases,
+                                   const FullyConnectedDescriptor& descriptor,
+                                   Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    ARMNN_DEPRECATED_MSG("Use IsGatherSupported with descriptor instead")
+    bool IsGatherSupported(const TensorInfo& input0,
+                           const TensorInfo& input1,
+                           const TensorInfo& output,
+                           Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsGatherSupported(const TensorInfo& input0,
+                           const TensorInfo& input1,
+                           const TensorInfo& output,
+                           const GatherDescriptor& descriptor,
+                           Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    ARMNN_DEPRECATED_MSG("Use IsComparisonSupported instead")
+    bool IsGreaterSupported(const TensorInfo& input0,
+                            const TensorInfo& input1,
+                            const TensorInfo& ouput,
+                            Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsInputSupported(const TensorInfo& input,
+                          Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsInstanceNormalizationSupported(
+            const TensorInfo& input,
+            const TensorInfo& output,
+            const InstanceNormalizationDescriptor& descriptor,
+            Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsL2NormalizationSupported(const TensorInfo& input,
+                                    const TensorInfo& output,
+                                    const L2NormalizationDescriptor& descriptor,
+                                    Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsLogicalBinarySupported(const TensorInfo& input0,
+                                  const TensorInfo& input1,
+                                  const TensorInfo& output,
+                                  const LogicalBinaryDescriptor& descriptor,
+                                  Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsLogicalUnarySupported(const TensorInfo& input,
+                                 const TensorInfo& output,
+                                 const ElementwiseUnaryDescriptor& descriptor,
+                                 Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsLogSoftmaxSupported(const TensorInfo& input,
+                               const TensorInfo& output,
+                               const LogSoftmaxDescriptor& descriptor,
+                               Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsLstmSupported(const TensorInfo& input,
+                         const TensorInfo& outputStateIn,
+                         const TensorInfo& cellStateIn,
+                         const TensorInfo& scratchBuffer,
+                         const TensorInfo& outputStateOut,
+                         const TensorInfo& cellStateOut,
+                         const TensorInfo& output,
+                         const LstmDescriptor& descriptor,
+                         const LstmInputParamsInfo& paramsInfo,
+                         Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsMaximumSupported(const TensorInfo& input0,
+                            const TensorInfo& input1,
+                            const TensorInfo& output,
+                            Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsMeanSupported(const TensorInfo& input,
+                         const TensorInfo& output,
+                         const MeanDescriptor& descriptor,
+                         Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsMemCopySupported(const TensorInfo& input,
+                            const TensorInfo& output,
+                            Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsMemImportSupported(const TensorInfo& input,
+                              const TensorInfo& output,
+                              Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsMergeSupported(const TensorInfo& input0,
+                          const TensorInfo& input1,
+                          const TensorInfo& output,
+                          Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    ARMNN_DEPRECATED_MSG("Use IsConcatSupported instead")
+    bool IsMergerSupported(const std::vector<const TensorInfo*> inputs,
+                           const TensorInfo& output,
+                           const OriginsDescriptor& descriptor,
+                           Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsMinimumSupported(const TensorInfo& input0,
+                            const TensorInfo& input1,
+                            const TensorInfo& output,
+                            Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsMultiplicationSupported(const TensorInfo& input0,
+                                   const TensorInfo& input1,
+                                   const TensorInfo& output,
+                                   Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsNormalizationSupported(const TensorInfo& input,
+                                  const TensorInfo& output,
+                                  const NormalizationDescriptor& descriptor,
+                                  Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsOutputSupported(const TensorInfo& output,
+                           Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsPadSupported(const TensorInfo& input,
+                        const TensorInfo& output,
+                        const PadDescriptor& descriptor,
+                        Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsPermuteSupported(const TensorInfo& input,
+                            const TensorInfo& output,
+                            const PermuteDescriptor& descriptor,
+                            Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsPooling2dSupported(const TensorInfo& input,
+                              const TensorInfo& output,
+                              const Pooling2dDescriptor& descriptor,
+                              Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsPreCompiledSupported(const TensorInfo& input,
+                                const PreCompiledDescriptor& descriptor,
+                                Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsPreluSupported(const TensorInfo& input,
+                          const TensorInfo& alpha,
+                          const TensorInfo& output,
+                          Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsQuantizeSupported(const TensorInfo& input,
+                             const TensorInfo& output,
+                             Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsQLstmSupported(const TensorInfo& input,
+                          const TensorInfo& previousOutputIn,
+                          const TensorInfo& previousCellStateIn,
+                          const TensorInfo& outputStateOut,
+                          const TensorInfo& cellStateOut,
+                          const TensorInfo& output,
+                          const QLstmDescriptor& descriptor,
+                          const LstmInputParamsInfo& paramsInfo,
+                          Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsQuantizedLstmSupported(const TensorInfo& input,
+                                  const TensorInfo& previousCellStateIn,
+                                  const TensorInfo& previousOutputIn,
+                                  const TensorInfo& cellStateOut,
+                                  const TensorInfo& output,
+                                  const QuantizedLstmInputParamsInfo& paramsInfo,
+                                  Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsRankSupported(const TensorInfo& input,
+                         const TensorInfo& output,
+                         Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsReshapeSupported(const TensorInfo& input,
+                            const TensorInfo& output,
+                            const ReshapeDescriptor& descriptor,
+                            Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    ARMNN_DEPRECATED_MSG("Use IsResizeSupported instead")
+    bool IsResizeBilinearSupported(const TensorInfo& input,
+                                   const TensorInfo& output,
+                                   Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsResizeSupported(const TensorInfo& input,
+                           const TensorInfo& output,
+                           const ResizeDescriptor& descriptor,
+                           Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    ARMNN_DEPRECATED_MSG("Use IsElementwiseUnarySupported instead")
+    bool IsRsqrtSupported(const TensorInfo& input,
+                          const TensorInfo& output,
+                          Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsSliceSupported(const TensorInfo& input,
+                          const TensorInfo& output,
+                          const SliceDescriptor& descriptor,
+                          Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsSoftmaxSupported(const TensorInfo& input,
+                            const TensorInfo& output,
+                            const SoftmaxDescriptor& descriptor,
+                            Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsSpaceToBatchNdSupported(const TensorInfo& input,
+                                   const TensorInfo& output,
+                                   const SpaceToBatchNdDescriptor& descriptor,
+                                   Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsSpaceToDepthSupported(const TensorInfo& input,
+                                 const TensorInfo& output,
+                                 const SpaceToDepthDescriptor& descriptor,
+                                 Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    ARMNN_DEPRECATED_MSG("Use IsSplitterSupported with outputs instead")
+    bool IsSplitterSupported(const TensorInfo& input,
+                             const ViewsDescriptor& descriptor,
+                             Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsSplitterSupported(const TensorInfo& input,
+                             const std::vector<std::reference_wrapper<TensorInfo>>& outputs,
+                             const ViewsDescriptor& descriptor,
+                             Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsStackSupported(const std::vector<const TensorInfo*>& inputs,
+                          const TensorInfo& output,
+                          const StackDescriptor& descriptor,
+                          Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsStandInSupported(const std::vector<const TensorInfo*>& inputs,
+                            const std::vector<const TensorInfo*>& outputs,
+                            const StandInDescriptor& descriptor,
+                            Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+
+    bool IsStridedSliceSupported(const TensorInfo& input,
+                                 const TensorInfo& output,
+                                 const StridedSliceDescriptor& descriptor,
+                                 Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsSubtractionSupported(const TensorInfo& input0,
+                                const TensorInfo& input1,
+                                const TensorInfo& output,
+                                Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsSwitchSupported(const TensorInfo& input0,
+                           const TensorInfo& input1,
+                           const TensorInfo& output0,
+                           const TensorInfo& output1,
+                           Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsTransposeConvolution2dSupported(
+            const TensorInfo& input,
+            const TensorInfo& output,
+            const TransposeConvolution2dDescriptor& descriptor,
+            const TensorInfo& weights,
+            const Optional<TensorInfo>& biases,
+            Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+    bool IsTransposeSupported(const TensorInfo& input,
+                              const TensorInfo& output,
+                              const TransposeDescriptor& descriptor,
+                              Optional<std::string&> reasonIfUnsupported = EmptyOptional());
+
+private:
+    std::shared_ptr<ILayerSupport> m_LayerSupport;
+};
+
+/// Convenience function to retrieve the ILayerSupportHandle for a backend
+LayerSupportHandle GetILayerSupportByBackendId(const armnn::BackendId& backend);
 
 }
diff --git a/include/armnn/ILayerSupport.hpp b/include/armnn/ILayerSupport.hpp
index 200409361c..5bcfc7d3cd 100644
--- a/include/armnn/ILayerSupport.hpp
+++ b/include/armnn/ILayerSupport.hpp
@@ -27,7 +27,6 @@ protected:
     virtual ~ILayerSupport() {}
 
 public:
-    ARMNN_DEPRECATED_MSG("Use IsElementwiseUnarySupported instead")
     virtual bool IsAbsSupported(const TensorInfo& input,
                                 const TensorInfo& output,
                                 Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
@@ -147,7 +146,6 @@ public:
                                              const ElementwiseUnaryDescriptor& descriptor,
                                              Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
-    ARMNN_DEPRECATED_MSG("Use IsComparisonSupported instead")
     virtual bool IsEqualSupported(const TensorInfo& input0,
                                   const TensorInfo& input1,
                                   const TensorInfo& output,
@@ -173,7 +171,6 @@ public:
                                            const FullyConnectedDescriptor& descriptor,
                                            Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
-    ARMNN_DEPRECATED_MSG("Use IsGatherSupported with descriptor instead")
     virtual bool IsGatherSupported(const TensorInfo& input0,
                                    const TensorInfo& input1,
                                    const TensorInfo& output,
@@ -185,7 +182,6 @@ public:
                                    const GatherDescriptor& descriptor,
                                    Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
-    ARMNN_DEPRECATED_MSG("Use IsComparisonSupported instead")
     virtual bool IsGreaterSupported(const TensorInfo& input0,
                                     const TensorInfo& input1,
                                     const TensorInfo& ouput,
@@ -255,7 +251,6 @@ public:
                                   const TensorInfo& output,
                                   Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
-    ARMNN_DEPRECATED_MSG("Use IsConcatSupported instead")
     virtual bool IsMergerSupported(const std::vector<const TensorInfo*> inputs,
                                    const TensorInfo& output,
                                    const OriginsDescriptor& descriptor,
@@ -334,7 +329,6 @@ public:
                                     const ReshapeDescriptor& descriptor,
                                     Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
-    ARMNN_DEPRECATED_MSG("Use IsResizeSupported instead")
     virtual bool IsResizeBilinearSupported(const TensorInfo& input,
                                            const TensorInfo& output,
                                            Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
@@ -344,7 +338,6 @@ public:
                                    const ResizeDescriptor& descriptor,
                                    Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
-    ARMNN_DEPRECATED_MSG("Use IsElementwiseUnarySupported instead")
     virtual bool IsRsqrtSupported(const TensorInfo& input,
                                   const TensorInfo& output,
                                   Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
@@ -369,7 +362,6 @@ public:
                                          const SpaceToDepthDescriptor& descriptor,
                                          Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
-    ARMNN_DEPRECATED_MSG("Use IsSplitterSupported with outputs instead")
     virtual bool IsSplitterSupported(const TensorInfo& input,
                                      const ViewsDescriptor& descriptor,
                                      Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
diff --git a/src/armnn/BackendHelper.cpp b/src/armnn/BackendHelper.cpp
index 84889b80e4..fb74877049 100644
--- a/src/armnn/BackendHelper.cpp
+++ b/src/armnn/BackendHelper.cpp
@@ -11,18 +11,704 @@
 namespace armnn
 {
 
-std::shared_ptr<ILayerSupport> GetILayerSupportByBackendId(const armnn::BackendId& backend)
+// Return LayerSupportHandle instead of the previous pointer to ILayerSupport.
+LayerSupportHandle GetILayerSupportByBackendId(const armnn::BackendId& backend)
 {
     BackendRegistry& backendRegistry = armnn::BackendRegistryInstance();
 
     if (!backendRegistry.IsBackendRegistered(backend))
     {
-        return nullptr;
+        return LayerSupportHandle(nullptr);
     }
 
     auto factoryFunc = backendRegistry.GetFactory(backend);
     auto backendObject = factoryFunc();
-    return backendObject->GetLayerSupport();
+    return LayerSupportHandle(backendObject->GetLayerSupport());
 }
 
+bool LayerSupportHandle::IsBackendRegistered() const
+{
+    if (m_LayerSupport)
+    {
+        return true;
+    }
+
+    return false;
+}
+
+
+bool LayerSupportHandle::IsAbsSupported(const TensorInfo& input,
+                                        const TensorInfo& output,
+                                        Optional<std::string&> reasonIfUnsupported)
+{
+    // Call the IsXXXLayerSupport function of the specific backend.
+    return m_LayerSupport->IsAbsSupported(input, output, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsActivationSupported(const TensorInfo& input,
+                                               const TensorInfo& output,
+                                               const ActivationDescriptor& descriptor,
+                                               Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsActivationSupported(input, output, descriptor, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsAdditionSupported(const TensorInfo& input0,
+                                             const TensorInfo& input1,
+                                             const TensorInfo& output,
+                                             Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsAdditionSupported(input0, input1, output, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsArgMinMaxSupported(const TensorInfo& input,
+                                              const TensorInfo& output,
+                                              const ArgMinMaxDescriptor& descriptor,
+                                              Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsArgMinMaxSupported(input, output, descriptor, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsBatchNormalizationSupported(const TensorInfo& input,
+                                                       const TensorInfo& output,
+                                                       const TensorInfo& mean,
+                                                       const TensorInfo& var,
+                                                       const TensorInfo& beta,
+                                                       const TensorInfo& gamma,
+                                                       const BatchNormalizationDescriptor& descriptor,
+                                                       Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsBatchNormalizationSupported(input,
+                                                         output,
+                                                         mean,
+                                                         var,
+                                                         beta,
+                                                         gamma,
+                                                         descriptor,
+                                                         reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsBatchToSpaceNdSupported(const TensorInfo& input,
+                                                   const TensorInfo& output,
+                                                   const BatchToSpaceNdDescriptor& descriptor,
+                                                   Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsBatchToSpaceNdSupported(input,
+                                                     output,
+                                                     descriptor,
+                                                     reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsComparisonSupported(const TensorInfo& input0,
+                                               const TensorInfo& input1,
+                                               const TensorInfo& output,
+                                               const ComparisonDescriptor& descriptor,
+                                               Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsComparisonSupported(input0, input1, output, descriptor, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsConcatSupported(const std::vector<const TensorInfo*> inputs,
+                                           const TensorInfo& output,
+                                           const OriginsDescriptor& descriptor,
+                                           Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsConcatSupported(inputs, output, descriptor, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsConstantSupported(const TensorInfo& output,
+                                             Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsConstantSupported(output, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsConvertBf16ToFp32Supported(const TensorInfo& input,
+                                                      const TensorInfo& output,
+                                                      Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsConvertBf16ToFp32Supported(input, output, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsConvertFp32ToBf16Supported(const TensorInfo& input,
+                                                      const TensorInfo& output,
+                                                      Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsConvertFp32ToBf16Supported(input, output, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsConvertFp16ToFp32Supported(const TensorInfo& input,
+                                                      const TensorInfo& output,
+                                                      Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsConvertFp16ToFp32Supported(input, output, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsConvertFp32ToFp16Supported(const TensorInfo& input,
+                                                      const TensorInfo& output,
+                                                      Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsConvertFp32ToFp16Supported(input, output, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsConvolution2dSupported(const TensorInfo& input,
+                                                  const TensorInfo& output,
+                                                  const Convolution2dDescriptor& descriptor,
+                                                  const TensorInfo& weights,
+                                                  const Optional<TensorInfo>& biases,
+                                                  Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsConvolution2dSupported(input,
+                                                    output,
+                                                    descriptor,
+                                                    weights,
+                                                    biases,
+                                                    reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsDebugSupported(const TensorInfo& input,
+                                          const TensorInfo& output,
+                                          Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsDebugSupported(input, output, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsDepthToSpaceSupported(const TensorInfo& input,
+                                                 const TensorInfo& output,
+                                                 const DepthToSpaceDescriptor& descriptor,
+                                                 Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsDepthToSpaceSupported(input, output, descriptor, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsDepthwiseConvolutionSupported(
+        const TensorInfo& input,
+        const TensorInfo& output,
+        const DepthwiseConvolution2dDescriptor& descriptor,
+        const TensorInfo& weights,
+        const Optional<TensorInfo>& biases,
+        Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsDepthwiseConvolutionSupported(input,
+                                                           output,
+                                                           descriptor,
+                                                           weights,
+                                                           biases,
+                                                           reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsDequantizeSupported(const TensorInfo& input,
+                                               const TensorInfo& output,
+                                               Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsDequantizeSupported(input, output, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsDetectionPostProcessSupported(const TensorInfo& boxEncodings,
+                                                         const TensorInfo& scores,
+                                                         const TensorInfo& anchors,
+                                                         const TensorInfo& detectionBoxes,
+                                                         const TensorInfo& detectionClasses,
+                                                         const TensorInfo& detectionScores,
+                                                         const TensorInfo& numDetections,
+                                                         const DetectionPostProcessDescriptor& descriptor,
+                                                         Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsDetectionPostProcessSupported(boxEncodings,
+                                                           scores,
+                                                           anchors,
+                                                           detectionBoxes,
+                                                           detectionClasses,
+                                                           detectionScores,
+                                                           numDetections,
+                                                           descriptor,
+                                                           reasonIfUnsupported);
+}
+
+bool LayerSupportHandle::IsDilatedDepthwiseConvolutionSupported(
+        const TensorInfo& input,
+        const TensorInfo& output,
+        const DepthwiseConvolution2dDescriptor& descriptor,
+        const TensorInfo& weights,
+        const Optional<TensorInfo>& biases,
+        Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsDilatedDepthwiseConvolutionSupported(input,
+                                                                  output,
+                                                                  descriptor,
+                                                                  weights,
+                                                                  biases,
+                                                                  reasonIfUnsupported);
+}
+
+bool LayerSupportHandle::IsDivisionSupported(const TensorInfo& input0,
+                                             const TensorInfo& input1,
+                                             const TensorInfo& output,
+                                             Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsDivisionSupported(input0, input1, output, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsElementwiseUnarySupported(const TensorInfo& input,
+                                                     const TensorInfo& output,
+                                                     const ElementwiseUnaryDescriptor& descriptor,
+                                                     Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsElementwiseUnarySupported(input, output, descriptor, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsEqualSupported(const TensorInfo& input0,
+                                          const TensorInfo& input1,
+                                          const TensorInfo& output,
+                                          Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsEqualSupported(input0, input1, output, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsFakeQuantizationSupported(const TensorInfo& input,
+                                                     const FakeQuantizationDescriptor& descriptor,
+                                                     Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsFakeQuantizationSupported(input, descriptor, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsFillSupported(const TensorInfo& input,
+                                         const TensorInfo& output,
+                                         const FillDescriptor& descriptor,
+                                         Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsFillSupported(input, output, descriptor, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsFloorSupported(const TensorInfo& input,
+                                          const TensorInfo& output,
+                                          Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsFloorSupported(input, output, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsFullyConnectedSupported(const TensorInfo& input,
+                                                   const TensorInfo& output,
+                                                   const TensorInfo& weights,
+                                                   const TensorInfo& biases,
+                                                   const FullyConnectedDescriptor& descriptor,
+                                                   Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsFullyConnectedSupported(input,
+                                                    output,
+                                                    weights,
+                                                    biases,
+                                                    descriptor,
+                                                    reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsGatherSupported(const TensorInfo& input0,
+                                           const TensorInfo& input1,
+                                           const TensorInfo& output,
+                                           Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsGatherSupported(input0, input1, output, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsGatherSupported(const TensorInfo& input0,
+                                           const TensorInfo& input1,
+                                           const TensorInfo& output,
+                                           const GatherDescriptor& descriptor,
+                                           Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsGatherSupported(input0, input1, output, descriptor, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsGreaterSupported(const TensorInfo& input0,
+                                            const TensorInfo& input1,
+                                            const TensorInfo& ouput,
+                                            Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsGreaterSupported(input0, input1, ouput, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsInputSupported(const TensorInfo& input,
+                                          Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsInputSupported(input, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsInstanceNormalizationSupported(
+        const TensorInfo& input,
+        const TensorInfo& output,
+        const InstanceNormalizationDescriptor& descriptor,
+        Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsInstanceNormalizationSupported(input, output, descriptor, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsL2NormalizationSupported(const TensorInfo& input,
+                                                    const TensorInfo& output,
+                                                    const L2NormalizationDescriptor& descriptor,
+                                                    Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsL2NormalizationSupported(input, output, descriptor, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsLogicalBinarySupported(const TensorInfo& input0,
+                                                  const TensorInfo& input1,
+                                                  const TensorInfo& output,
+                                                  const LogicalBinaryDescriptor& descriptor,
+                                                  Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsLogicalBinarySupported(input0,
+                                                    input1,
+                                                    output,
+                                                    descriptor,
+                                                    reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsLogicalUnarySupported(const TensorInfo& input,
+                                                 const TensorInfo& output,
+                                                 const ElementwiseUnaryDescriptor& descriptor,
+                                                 Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsLogicalUnarySupported(input, output, descriptor, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsLogSoftmaxSupported(const TensorInfo& input,
+                                               const TensorInfo& output,
+                                               const LogSoftmaxDescriptor& descriptor,
+                                               Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsLogSoftmaxSupported(input, output, descriptor, reasonIfUnsupported.value());
 }
+
+bool LayerSupportHandle::IsLstmSupported(const TensorInfo& input,
+                                         const TensorInfo& outputStateIn,
+                                         const TensorInfo& cellStateIn,
+                                         const TensorInfo& scratchBuffer,
+                                         const TensorInfo& outputStateOut,
+                                         const TensorInfo& cellStateOut,
+                                         const TensorInfo& output,
+                                         const LstmDescriptor& descriptor,
+                                         const LstmInputParamsInfo& paramsInfo,
+                                         Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsLstmSupported(input,
+                                           outputStateIn,
+                                           cellStateIn,
+                                           scratchBuffer,
+                                           outputStateOut,
+                                           cellStateOut,
+                                           output,
+                                           descriptor,
+                                           paramsInfo,
+                                           reasonIfUnsupported);
+}
+
+bool LayerSupportHandle::IsMaximumSupported(const TensorInfo& input0,
+                                            const TensorInfo& input1,
+                                            const TensorInfo& output,
+                                            Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsMaximumSupported(input0, input1, output, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsMeanSupported(const TensorInfo& input,
+                                         const TensorInfo& output,
+                                         const MeanDescriptor& descriptor,
+                                         Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsMeanSupported(input, output, descriptor, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsMemCopySupported(const TensorInfo& input,
+                                            const TensorInfo& output,
+                                            Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsMemCopySupported(input, output, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsMemImportSupported(const TensorInfo& input,
+                                              const TensorInfo& output,
+                                              Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsMemImportSupported(input, output, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsMergeSupported(const TensorInfo& input0,
+                                          const TensorInfo& input1,
+                                          const TensorInfo& output,
+                                          Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsMergeSupported(input0, input1, output, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsMergerSupported(const std::vector<const TensorInfo*> inputs,
+                                           const TensorInfo& output,
+                                           const OriginsDescriptor& descriptor,
+                                           Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsMergerSupported(inputs, output, descriptor, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsMinimumSupported(const TensorInfo& input0,
+                                            const TensorInfo& input1,
+                                            const TensorInfo& output,
+                                            Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsMinimumSupported(input0, input1, output, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsMultiplicationSupported(const TensorInfo& input0,
+                                                   const TensorInfo& input1,
+                                                   const TensorInfo& output,
+                                                   Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsMultiplicationSupported(input0, input1, output, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsNormalizationSupported(const TensorInfo& input,
+                                                  const TensorInfo& output,
+                                                  const NormalizationDescriptor& descriptor,
+                                                  Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsNormalizationSupported(input, output, descriptor, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsOutputSupported(const TensorInfo& output,
+                                           Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsOutputSupported(output, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsPadSupported(const TensorInfo& input,
+                                        const TensorInfo& output,
+                                        const PadDescriptor& descriptor,
+                                        Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsPadSupported(input, output, descriptor, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsPermuteSupported(const TensorInfo& input,
+                                            const TensorInfo& output,
+                                            const PermuteDescriptor& descriptor,
+                                            Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsPermuteSupported(input, output, descriptor, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsPooling2dSupported(const TensorInfo& input,
+                                              const TensorInfo& output,
+                                              const Pooling2dDescriptor& descriptor,
+                                              Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsPooling2dSupported(input, output, descriptor, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsPreCompiledSupported(const TensorInfo& input,
+                                                const PreCompiledDescriptor& descriptor,
+                                                Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsPreCompiledSupported(input, descriptor, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsPreluSupported(const TensorInfo& input,
+                                          const TensorInfo& alpha,
+                                          const TensorInfo& output,
+                                          Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsPreluSupported(input, alpha, output, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsQuantizeSupported(const TensorInfo& input,
+                                             const TensorInfo& output,
+                                             Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsQuantizeSupported(input, output, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsQLstmSupported(const TensorInfo& input,
+                                          const TensorInfo& previousOutputIn,
+                                          const TensorInfo& previousCellStateIn,
+                                          const TensorInfo& outputStateOut,
+                                          const TensorInfo& cellStateOut,
+                                          const TensorInfo& output,
+                                          const QLstmDescriptor& descriptor,
+                                          const LstmInputParamsInfo& paramsInfo,
+                                          Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsQLstmSupported(input,
+                                            previousOutputIn,
+                                            previousCellStateIn,
+                                            outputStateOut,
+                                            cellStateOut,
+                                            output,
+                                            descriptor,
+                                            paramsInfo,
+                                            reasonIfUnsupported);
+}
+
+bool LayerSupportHandle::IsQuantizedLstmSupported(const TensorInfo& input,
+                                                  const TensorInfo& previousCellStateIn,
+                                                  const TensorInfo& previousOutputIn,
+                                                  const TensorInfo& cellStateOut,
+                                                  const TensorInfo& output,
+                                                  const QuantizedLstmInputParamsInfo& paramsInfo,
+                                                  Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsQuantizedLstmSupported(input,
+                                                    previousCellStateIn,
+                                                    previousOutputIn,
+                                                    cellStateOut,
+                                                    output,
+                                                    paramsInfo,
+                                                    reasonIfUnsupported);
+}
+
+bool LayerSupportHandle::IsRankSupported(const TensorInfo& input,
+                                         const TensorInfo& output,
+                                         Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsRankSupported(input, output, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsReshapeSupported(const TensorInfo& input,
+                                            const TensorInfo& output,
+                                            const ReshapeDescriptor& descriptor,
+                                            Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsReshapeSupported(input, output, descriptor, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsResizeBilinearSupported(const TensorInfo& input,
+                                                   const TensorInfo& output,
+                                                   Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsResizeBilinearSupported(input, output, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsResizeSupported(const TensorInfo& input,
+                                           const TensorInfo& output,
+                                           const ResizeDescriptor& descriptor,
+                                           Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsResizeSupported(input, output, descriptor, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsRsqrtSupported(const TensorInfo& input,
+                                          const TensorInfo& output,
+                                          Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsRsqrtSupported(input, output, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsSliceSupported(const TensorInfo& input,
+                                          const TensorInfo& output,
+                                          const SliceDescriptor& descriptor,
+                                          Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsSliceSupported(input, output, descriptor, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsSoftmaxSupported(const TensorInfo& input,
+                                            const TensorInfo& output,
+                                            const SoftmaxDescriptor& descriptor,
+                                            Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsSoftmaxSupported(input, output, descriptor, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsSpaceToBatchNdSupported(const TensorInfo& input,
+                                                   const TensorInfo& output,
+                                                   const SpaceToBatchNdDescriptor& descriptor,
+                                                   Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsSpaceToBatchNdSupported(input, output, descriptor, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsSpaceToDepthSupported(const TensorInfo& input,
+                                                 const TensorInfo& output,
+                                                 const SpaceToDepthDescriptor& descriptor,
+                                                 Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsSpaceToDepthSupported(input, output, descriptor, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsSplitterSupported(const TensorInfo& input,
+                                             const ViewsDescriptor& descriptor,
+                                             Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsSplitterSupported(input, descriptor, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsSplitterSupported(const TensorInfo& input,
+                                             const std::vector<std::reference_wrapper<TensorInfo>>& outputs,
+                                             const ViewsDescriptor& descriptor,
+                                             Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsSplitterSupported(input, outputs, descriptor, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsStackSupported(const std::vector<const TensorInfo*>& inputs,
+                                          const TensorInfo& output,
+                                          const StackDescriptor& descriptor,
+                                          Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsStackSupported(inputs, output, descriptor, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsStandInSupported(const std::vector<const TensorInfo*>& inputs,
+                                            const std::vector<const TensorInfo*>& outputs,
+                                            const StandInDescriptor& descriptor,
+                                            Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsStandInSupported(inputs, outputs, descriptor, reasonIfUnsupported.value());
+}
+
+
+bool LayerSupportHandle::IsStridedSliceSupported(const TensorInfo& input,
+                                                 const TensorInfo& output,
+                                                 const StridedSliceDescriptor& descriptor,
+                                                 Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsStridedSliceSupported(input, output, descriptor, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsSubtractionSupported(const TensorInfo& input0,
+                                                const TensorInfo& input1,
+                                                const TensorInfo& output,
+                                                Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsSubtractionSupported(input0, input1, output, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsSwitchSupported(const TensorInfo& input0,
+                                           const TensorInfo& input1,
+                                           const TensorInfo& output0,
+                                           const TensorInfo& output1,
+                                           Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsSwitchSupported(input0, input1, output0, output1, reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsTransposeConvolution2dSupported(
+        const TensorInfo& input,
+        const TensorInfo& output,
+        const TransposeConvolution2dDescriptor& descriptor,
+        const TensorInfo& weights,
+        const Optional<TensorInfo>& biases,
+        Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsTransposeConvolution2dSupported(input,
+                                                             output,
+                                                             descriptor,
+                                                             weights,
+                                                             biases,
+                                                             reasonIfUnsupported.value());
+}
+
+bool LayerSupportHandle::IsTransposeSupported(const TensorInfo& input,
+                                              const TensorInfo& output,
+                                              const TransposeDescriptor& descriptor,
+                                              Optional<std::string&> reasonIfUnsupported)
+{
+    return m_LayerSupport->IsTransposeSupported(input, output, descriptor, reasonIfUnsupported.value());
+}
+
+}
\ No newline at end of file
diff --git a/src/armnn/test/UtilsTests.cpp b/src/armnn/test/UtilsTests.cpp
index fb078de32f..7776a2d3cf 100644
--- a/src/armnn/test/UtilsTests.cpp
+++ b/src/armnn/test/UtilsTests.cpp
@@ -5,6 +5,7 @@
 #include <boost/test/unit_test.hpp>
 
 
+#include <armnn/BackendHelper.hpp>
 #include <armnn/Utils.hpp>
 #include <armnn/Types.hpp>
 #include <armnn/TypesUtils.hpp>
@@ -266,4 +267,17 @@ BOOST_AUTO_TEST_CASE(PermuteQuantizationDim)
     BOOST_CHECK(permuted.GetQuantizationDim().value() == 1U);
 }
 
+#if defined(ARMNNREF_ENABLED)
+BOOST_AUTO_TEST_CASE(LayerSupportHandle)
+{
+    auto layerSupportObject = armnn::GetILayerSupportByBackendId("CpuRef");
+    armnn::TensorInfo input;
+    std::string reasonIfUnsupported;
+    // InputLayer always supported for CpuRef
+    BOOST_CHECK_EQUAL(layerSupportObject.IsInputSupported(input, reasonIfUnsupported), true);
+
+    BOOST_CHECK(layerSupportObject.IsBackendRegistered());
+}
+#endif
+
 BOOST_AUTO_TEST_SUITE_END()