From 992d6dc57d8463729910b688f0fb5825d0d3ccf2 Mon Sep 17 00:00:00 2001
From: Matteo Martincigh <matteo.martincigh@arm.com>
Date: Thu, 10 Jan 2019 17:34:20 +0000
Subject: [PATCH] IVGCVSW-2454 Refactor ArmNN to support pluggable backends
 from a separate code base

 * Made the virtual functions in ILayerSupport.hpp pure
 * Created a LayerSupportBase class with the default implementation of
   the interface
 * Made the backend layer support classes inherit from the base
   class, instead of directly from the interface
 * Refactored the profiler and the profiling event classes to use
   the BackendId instead of the Compute
 * Implemented a proper MemCopy support method
 * Changed Compute to BackendId in the profiling API and objects
 * Removed static references to pluggable backends

!android-nn-driver:492

Change-Id: Id6332b5f48c980819e0a09adc818d1effd057296
---
 include/armnn/BackendId.hpp                      |  23 +-
 include/armnn/ILayerSupport.hpp                  |  90 +++---
 include/armnn/LayerSupport.hpp                   | 152 +++++-----
 src/armnn/Layer.cpp                              |   2 +-
 src/armnn/LayerSupport.cpp                       | 239 +++++++--------
 src/armnn/Profiling.cpp                          |   8 +-
 src/armnn/Profiling.hpp                          |  18 +-
 src/armnn/ProfilingEvent.cpp                     |  12 +-
 src/armnn/ProfilingEvent.hpp                     |  18 +-
 src/armnn/test/ProfilingEventTest.cpp            |  20 +-
 src/backends/backendsCommon/CMakeLists.txt       |   3 +-
 src/backends/backendsCommon/ILayerSupport.cpp    | 346 ----------------------
 src/backends/backendsCommon/LayerSupportBase.cpp | 355 +++++++++++++++++++++++
 src/backends/backendsCommon/LayerSupportBase.hpp | 223 ++++++++++++++
 src/backends/backendsCommon/WorkloadFactory.cpp  |  24 +-
 src/backends/backendsCommon/common.mk            |   2 +-
 src/backends/cl/ClLayerSupport.cpp               |  11 +
 src/backends/cl/ClLayerSupport.hpp               |   9 +-
 src/backends/neon/NeonLayerSupport.cpp           |  19 +-
 src/backends/neon/NeonLayerSupport.hpp           |  12 +-
 src/backends/reference/RefLayerSupport.cpp       |  13 +
 src/backends/reference/RefLayerSupport.hpp       |  11 +-
 22 files changed, 960 insertions(+), 650 deletions(-)
 delete mode 100644 src/backends/backendsCommon/ILayerSupport.cpp
 create mode 100644 src/backends/backendsCommon/LayerSupportBase.cpp
 create mode 100644 src/backends/backendsCommon/LayerSupportBase.hpp

diff --git a/include/armnn/BackendId.hpp b/include/armnn/BackendId.hpp
index 8de985e..8720607 100644
--- a/include/armnn/BackendId.hpp
+++ b/include/armnn/BackendId.hpp
@@ -20,13 +20,13 @@ namespace armnn
 //
 enum class Compute
 {
+    Undefined = 0,
     /// CPU Execution: Reference C++ kernels
-    CpuRef      = 0,
+    CpuRef    = 1,
     /// CPU Execution: NEON: ArmCompute
-    CpuAcc      = 1,
+    CpuAcc    = 2,
     /// GPU Execution: OpenCL: ArmCompute
-    GpuAcc      = 2,
-    Undefined   = 5
+    GpuAcc    = 3
 };
 
 /// Deprecated function that will be removed together with
@@ -46,7 +46,8 @@ constexpr char const* GetComputeDeviceAsCString(Compute compute)
 /// the Compute enum
 inline std::ostream& operator<<(std::ostream& os, const std::vector<Compute>& compute)
 {
-    for (const Compute& comp : compute) {
+    for (const Compute& comp : compute)
+    {
         os << GetComputeDeviceAsCString(comp) << " ";
     }
     return os;
@@ -56,7 +57,8 @@ inline std::ostream& operator<<(std::ostream& os, const std::vector<Compute>& co
 /// the Compute enum
 inline std::ostream& operator<<(std::ostream& os, const std::set<Compute>& compute)
 {
-    for (const Compute& comp : compute) {
+    for (const Compute& comp : compute)
+    {
         os << GetComputeDeviceAsCString(comp) << " ";
     }
     return os;
@@ -70,13 +72,10 @@ inline std::ostream& operator<<(std::ostream& os, const Compute& compute)
     return os;
 }
 
-struct UninitializedBackendId {};
-
 class BackendId final
 {
 public:
-    BackendId() { GetComputeDeviceAsCString(Compute::Undefined); }
-    BackendId(UninitializedBackendId) { GetComputeDeviceAsCString(Compute::Undefined); }
+    BackendId() : m_Id(GetComputeDeviceAsCString(Compute::Undefined)) {}
     BackendId(const std::string& id) : m_Id{id} {}
     BackendId(const char* id) : m_Id{id} {}
 
@@ -132,7 +131,7 @@ private:
     std::string m_Id;
 };
 
-}
+} // namespace armnn
 
 namespace std
 {
@@ -163,7 +162,7 @@ inline std::ostream& operator<<(std::ostream& os, const BackendId& id)
 
 template <template <typename...> class TContainer, typename... TContainerTemplateArgs>
 std::ostream& operator<<(std::ostream& os,
-                                const TContainer<BackendId, TContainerTemplateArgs...>& ids)
+                         const TContainer<BackendId, TContainerTemplateArgs...>& ids)
 {
     os << '[';
     for (const auto& id : ids) { os << id << " "; }
diff --git a/include/armnn/ILayerSupport.hpp b/include/armnn/ILayerSupport.hpp
index af38b07..bba3449 100644
--- a/include/armnn/ILayerSupport.hpp
+++ b/include/armnn/ILayerSupport.hpp
@@ -25,12 +25,12 @@ public:
     virtual bool IsActivationSupported(const TensorInfo& input,
                                        const TensorInfo& output,
                                        const ActivationDescriptor& descriptor,
-                                       Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+                                       Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
     virtual bool IsAdditionSupported(const TensorInfo& input0,
                                      const TensorInfo& input1,
                                      const TensorInfo& output,
-                                     Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+                                     Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
     virtual bool IsBatchNormalizationSupported(const TensorInfo& input,
                                                const TensorInfo& output,
@@ -39,75 +39,76 @@ public:
                                                const TensorInfo& beta,
                                                const TensorInfo& gamma,
                                                const BatchNormalizationDescriptor& descriptor,
-                                               Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+                                               Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
     virtual bool IsBatchToSpaceNdSupported(const TensorInfo& input,
                                            const TensorInfo& output,
                                            const BatchToSpaceNdDescriptor& descriptor,
-                                           Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+                                           Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
     virtual bool IsConstantSupported(const TensorInfo& output,
-                                     Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+                                     Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
     virtual bool IsConvertFp16ToFp32Supported(const TensorInfo& input,
                                               const TensorInfo& output,
-                                              Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+                                              Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
     virtual bool IsConvertFp32ToFp16Supported(const TensorInfo& input,
                                               const TensorInfo& output,
-                                              Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+                                              Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
     virtual bool IsConvolution2dSupported(const TensorInfo& input,
                                           const TensorInfo& output,
                                           const Convolution2dDescriptor& descriptor,
                                           const TensorInfo& weights,
                                           const Optional<TensorInfo>& biases,
-                                          Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+                                          Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
     virtual bool IsDebugSupported(const TensorInfo& input,
                                   const TensorInfo& output,
                                   const DebugDescriptor& descriptor,
-                                  Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+                                  Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
-    virtual bool IsDepthwiseConvolutionSupported(const TensorInfo& input,
-                                                 const TensorInfo& output,
-                                                 const DepthwiseConvolution2dDescriptor& descriptor,
-                                                 const TensorInfo& weights,
-                                                 const Optional<TensorInfo>& biases,
-                                                 Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+    virtual bool IsDepthwiseConvolutionSupported(
+                     const TensorInfo& input,
+                     const TensorInfo& output,
+                     const DepthwiseConvolution2dDescriptor& descriptor,
+                     const TensorInfo& weights,
+                     const Optional<TensorInfo>& biases,
+                     Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
     virtual bool IsDivisionSupported(const TensorInfo& input0,
                                      const TensorInfo& input1,
                                      const TensorInfo& output,
-                                     Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+                                     Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
     virtual bool IsEqualSupported(const TensorInfo& input0,
                                   const TensorInfo& input1,
                                   const TensorInfo& output,
-                                  Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+                                  Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
     virtual bool IsFakeQuantizationSupported(const TensorInfo& input,
                                              const FakeQuantizationDescriptor& descriptor,
-                                             Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+                                             Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
     virtual bool IsFloorSupported(const TensorInfo& input,
                                   const TensorInfo& output,
-                                  Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+                                  Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
     virtual bool IsFullyConnectedSupported(const TensorInfo& input,
                                            const TensorInfo& output,
                                            const TensorInfo& weights,
                                            const TensorInfo& biases,
                                            const FullyConnectedDescriptor& descriptor,
-                                           Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+                                           Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
     virtual bool IsInputSupported(const TensorInfo& input,
-                                  Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+                                  Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
     virtual bool IsL2NormalizationSupported(const TensorInfo& input,
                                             const TensorInfo& output,
                                             const L2NormalizationDescriptor& descriptor,
-                                            Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+                                            Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
     virtual bool IsLstmSupported(const TensorInfo& input,
                                  const TensorInfo& outputStateIn,
@@ -134,94 +135,99 @@ public:
                                  const TensorInfo* projectionBias,
                                  const TensorInfo* cellToForgetWeights,
                                  const TensorInfo* cellToOutputWeights,
-                                 Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+                                 Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
     virtual bool IsMaximumSupported(const TensorInfo& input0,
                                     const TensorInfo& input1,
                                     const TensorInfo& output,
-                                    Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+                                    Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
     virtual bool IsMeanSupported(const TensorInfo& input,
                                  const TensorInfo& output,
                                  const MeanDescriptor& descriptor,
-                                 Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+                                 Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
+
+    virtual bool IsMemCopySupported(const TensorInfo& input,
+                                    const TensorInfo& output,
+                                    Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
     virtual bool IsMergerSupported(const std::vector<const TensorInfo*> inputs,
                                    const TensorInfo& output,
                                    const OriginsDescriptor& descriptor,
-                                   Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+                                   Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
     virtual bool IsMinimumSupported(const TensorInfo& input0,
                                     const TensorInfo& input1,
                                     const TensorInfo& ouput,
-                                    Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+                                    Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
     virtual bool IsMultiplicationSupported(const TensorInfo& input0,
                                            const TensorInfo& input1,
                                            const TensorInfo& output,
-                                           Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+                                           Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
     virtual bool IsNormalizationSupported(const TensorInfo& input,
                                           const TensorInfo& output,
                                           const NormalizationDescriptor& descriptor,
-                                          Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+                                          Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
     virtual bool IsOutputSupported(const TensorInfo& output,
-                                   Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+                                   Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
     virtual bool IsPadSupported(const TensorInfo& input,
                                 const TensorInfo& output,
                                 const PadDescriptor& descriptor,
-                                Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+                                Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
     virtual bool IsPermuteSupported(const TensorInfo& input,
                                     const TensorInfo& output,
                                     const PermuteDescriptor& descriptor,
-                                    Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+                                    Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
     virtual bool IsPooling2dSupported(const TensorInfo& input,
                                       const TensorInfo& output,
                                       const Pooling2dDescriptor& descriptor,
-                                      Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+                                      Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
     virtual bool IsReshapeSupported(const TensorInfo& input,
-                                    Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+                                    const ReshapeDescriptor& descriptor,
+                                    Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
     virtual bool IsSpaceToBatchNdSupported(const TensorInfo& input,
                                            const TensorInfo& output,
                                            const SpaceToBatchNdDescriptor& descriptor,
-                                           Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+                                           Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
     virtual bool IsResizeBilinearSupported(const TensorInfo& input,
-                                           Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+                                           Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
     virtual bool IsRsqrtSupported(const TensorInfo& input,
                                   const TensorInfo& output,
-                                  Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+                                  Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
     virtual bool IsSoftmaxSupported(const TensorInfo& input,
                                     const TensorInfo& output,
                                     const SoftmaxDescriptor& descriptor,
-                                    Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+                                    Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
     virtual bool IsSplitterSupported(const TensorInfo& input,
                                      const ViewsDescriptor& descriptor,
-                                     Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+                                     Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
     virtual bool IsStridedSliceSupported(const TensorInfo& input,
                                          const TensorInfo& output,
                                          const StridedSliceDescriptor& descriptor,
-                                         Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+                                         Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
     virtual bool IsSubtractionSupported(const TensorInfo& input0,
                                         const TensorInfo& input1,
                                         const TensorInfo& output,
-                                        Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+                                        Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
     virtual bool IsGreaterSupported(const TensorInfo& input0,
                                     const TensorInfo& input1,
                                     const TensorInfo& ouput,
-                                    Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+                                    Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 }; // class ILayerSupport
 
 using ILayerSupportSharedPtr = std::shared_ptr<ILayerSupport>;
diff --git a/include/armnn/LayerSupport.hpp b/include/armnn/LayerSupport.hpp
index 446dd70..8286ec6 100644
--- a/include/armnn/LayerSupport.hpp
+++ b/include/armnn/LayerSupport.hpp
@@ -105,16 +105,24 @@ bool IsDivisionSupported(const BackendId& backend,
                          size_t reasonIfUnsupportedMaxLength = 1024);
 
 /// Deprecated in favor of IBackend and ILayerSupport interfaces
-bool IsSubtractionSupported(const BackendId& backend,
-                            const TensorInfo& input0,
-                            const TensorInfo& input1,
-                            const TensorInfo& output,
-                            char* reasonIfUnsupported = nullptr,
-                            size_t reasonIfUnsupportedMaxLength = 1024);
+bool IsEqualSupported(const BackendId& backend,
+                      const TensorInfo& input0,
+                      const TensorInfo& input1,
+                      const TensorInfo& output,
+                      char* reasonIfUnsupported = nullptr,
+                      size_t reasonIfUnsupportedMaxLength = 1024);
 
 /// Deprecated in favor of IBackend and ILayerSupport interfaces
-bool IsInputSupported(const BackendId& backend,
+bool IsFakeQuantizationSupported(const BackendId& backend,
+                                 const TensorInfo& input,
+                                 const FakeQuantizationDescriptor& descriptor,
+                                 char* reasonIfUnsupported = nullptr,
+                                 size_t reasonIfUnsupportedMaxLength = 1024);
+
+/// Deprecated in favor of IBackend and ILayerSupport interfaces
+bool IsFloorSupported(const BackendId& backend,
                       const TensorInfo& input,
+                      const TensorInfo& output,
                       char* reasonIfUnsupported = nullptr,
                       size_t reasonIfUnsupportedMaxLength = 1024);
 
@@ -129,6 +137,20 @@ bool IsFullyConnectedSupported(const BackendId& backend,
                                size_t reasonIfUnsupportedMaxLength = 1024);
 
 /// Deprecated in favor of IBackend and ILayerSupport interfaces
+bool IsGreaterSupported(const BackendId& backend,
+                        const TensorInfo& input0,
+                        const TensorInfo& input1,
+                        const TensorInfo& output,
+                        char* reasonIfUnsupported = nullptr,
+                        size_t reasonIfUnsupportedMaxLength = 1024);
+
+/// Deprecated in favor of IBackend and ILayerSupport interfaces
+bool IsInputSupported(const BackendId& backend,
+                      const TensorInfo& input,
+                      char* reasonIfUnsupported = nullptr,
+                      size_t reasonIfUnsupportedMaxLength = 1024);
+
+/// Deprecated in favor of IBackend and ILayerSupport interfaces
 bool IsL2NormalizationSupported(const BackendId& backend,
                                 const TensorInfo& input,
                                 const TensorInfo& output,
@@ -161,6 +183,21 @@ bool IsMaximumSupported(const BackendId& backend,
                         size_t reasonIfUnSupportedMaxLength = 0);
 
 /// Deprecated in favor of IBackend and ILayerSupport interfaces
+bool IsMeanSupported(const BackendId& backend,
+                     const TensorInfo& input,
+                     const TensorInfo& output,
+                     const MeanDescriptor& descriptor,
+                     char* reasonIfUnsupported = nullptr,
+                     size_t reasonIfUnsupportedMaxLength = 1024);
+
+/// Deprecated in favor of IBackend and ILayerSupport interfaces
+bool IsMemCopySupported(const BackendId& backend,
+                        const TensorInfo& input,
+                        const TensorInfo& output,
+                        char* reasonIfUnsupported = nullptr,
+                        size_t reasonIfUnsupportedMaxLength = 1024);
+
+/// Deprecated in favor of IBackend and ILayerSupport interfaces
 bool IsMergerSupported(const BackendId& backend,
                        const std::vector<const TensorInfo*> inputs,
                        const TensorInfo& output,
@@ -169,6 +206,14 @@ bool IsMergerSupported(const BackendId& backend,
                        size_t reasonIfUnsupportedMaxLength = 1024);
 
 /// Deprecated in favor of IBackend and ILayerSupport interfaces
+bool IsMinimumSupported(const BackendId& backend,
+                        const TensorInfo& input0,
+                        const TensorInfo& input1,
+                        const TensorInfo& output,
+                        char* reasonIfUnsupported = nullptr,
+                        size_t reasonIfUnsupportedMaxLength = 1024);
+
+/// Deprecated in favor of IBackend and ILayerSupport interfaces
 bool IsMultiplicationSupported(const BackendId& backend,
                                const TensorInfo& input0,
                                const TensorInfo& input1,
@@ -191,6 +236,14 @@ bool IsOutputSupported(const BackendId& backend,
                        size_t reasonIfUnsupportedMaxLength = 1024);
 
 /// Deprecated in favor of IBackend and ILayerSupport interfaces
+bool IsPadSupported(const BackendId& backend,
+                     const TensorInfo& input,
+                     const TensorInfo& output,
+                     const PadDescriptor& descriptor,
+                     char* reasonIfUnsupported = nullptr,
+                     size_t reasonIfUnsupportedMaxLength = 1024);
+
+/// Deprecated in favor of IBackend and ILayerSupport interfaces
 bool IsPermuteSupported(const BackendId& backend,
                         const TensorInfo& input,
                         const TensorInfo& output,
@@ -207,12 +260,26 @@ bool IsPooling2dSupported(const BackendId& backend,
                           size_t reasonIfUnsupportedMaxLength = 1024);
 
 /// Deprecated in favor of IBackend and ILayerSupport interfaces
+bool IsReshapeSupported(const BackendId& backend,
+                        const TensorInfo& input,
+                        const ReshapeDescriptor& descriptor,
+                        char* reasonIfUnsupported = nullptr,
+                        size_t reasonIfUnsupportedMaxLength = 1024);
+
+/// Deprecated in favor of IBackend and ILayerSupport interfaces
 bool IsResizeBilinearSupported(const BackendId& backend,
                                const TensorInfo& input,
                                char* reasonIfUnsupported = nullptr,
                                size_t reasonIfUnsupportedMaxLength = 1024);
 
 /// Deprecated in favor of IBackend and ILayerSupport interfaces
+bool IsRsqrtSupported(const BackendId& backend,
+                      const TensorInfo& input,
+                      const TensorInfo& output,
+                      char* reasonIfUnsupported = nullptr,
+                      size_t reasonIfUnsupportedMaxLength = 1024);
+
+/// Deprecated in favor of IBackend and ILayerSupport interfaces
 bool IsSoftmaxSupported(const BackendId& backend,
                         const TensorInfo& input,
                         const TensorInfo& output,
@@ -236,49 +303,6 @@ bool IsSplitterSupported(const BackendId& backend,
                          size_t reasonIfUnsupportedMaxLength = 1024);
 
 /// Deprecated in favor of IBackend and ILayerSupport interfaces
-bool IsFakeQuantizationSupported(const BackendId& backend,
-                                 const TensorInfo& input,
-                                 const FakeQuantizationDescriptor& descriptor,
-                                 char* reasonIfUnsupported = nullptr,
-                                 size_t reasonIfUnsupportedMaxLength = 1024);
-
-/// Deprecated in favor of IBackend and ILayerSupport interfaces
-bool IsReshapeSupported(const BackendId& backend,
-                        const TensorInfo& input,
-                        char* reasonIfUnsupported = nullptr,
-                        size_t reasonIfUnsupportedMaxLength = 1024);
-
-/// Deprecated in favor of IBackend and ILayerSupport interfaces
-bool IsRsqrtSupported(const BackendId& backend,
-                      const TensorInfo& input,
-                      const TensorInfo& output,
-                      char* reasonIfUnsupported = nullptr,
-                      size_t reasonIfUnsupportedMaxLength = 1024);
-
-/// Deprecated in favor of IBackend and ILayerSupport interfaces
-bool IsFloorSupported(const BackendId& backend,
-                      const TensorInfo& input,
-                      const TensorInfo& output,
-                      char* reasonIfUnsupported = nullptr,
-                      size_t reasonIfUnsupportedMaxLength = 1024);
-
-/// Deprecated in favor of IBackend and ILayerSupport interfaces
-bool IsMeanSupported(const BackendId& backend,
-                     const TensorInfo& input,
-                     const TensorInfo& output,
-                     const MeanDescriptor& descriptor,
-                     char* reasonIfUnsupported = nullptr,
-                     size_t reasonIfUnsupportedMaxLength = 1024);
-
-/// Deprecated in favor of IBackend and ILayerSupport interfaces
-bool IsPadSupported(const BackendId& backend,
-                     const TensorInfo& input,
-                     const TensorInfo& output,
-                     const PadDescriptor& descriptor,
-                     char* reasonIfUnsupported = nullptr,
-                     size_t reasonIfUnsupportedMaxLength = 1024);
-
-/// Deprecated in favor of IBackend and ILayerSupport interfaces
 bool IsStridedSliceSupported(const BackendId& backend,
                              const TensorInfo& input,
                              const TensorInfo& output,
@@ -287,26 +311,10 @@ bool IsStridedSliceSupported(const BackendId& backend,
                              size_t reasonIfUnsupportedMaxLength = 1024);
 
 /// Deprecated in favor of IBackend and ILayerSupport interfaces
-bool IsMinimumSupported(const BackendId& backend,
-                        const TensorInfo& input0,
-                        const TensorInfo& input1,
-                        const TensorInfo& output,
-                        char* reasonIfUnsupported = nullptr,
-                        size_t reasonIfUnsupportedMaxLength = 1024);
-
-/// Deprecated in favor of IBackend and ILayerSupport interfaces
-bool IsGreaterSupported(const BackendId& backend,
-                        const TensorInfo& input0,
-                        const TensorInfo& input1,
-                        const TensorInfo& output,
-                        char* reasonIfUnsupported = nullptr,
-                        size_t reasonIfUnsupportedMaxLength = 1024);
-
-/// Deprecated in favor of IBackend and ILayerSupport interfaces
-bool IsEqualSupported(const BackendId& backend,
-                      const TensorInfo& input0,
-                      const TensorInfo& input1,
-                      const TensorInfo& output,
-                      char* reasonIfUnsupported = nullptr,
-                      size_t reasonIfUnsupportedMaxLength = 1024);
+bool IsSubtractionSupported(const BackendId& backend,
+                            const TensorInfo& input0,
+                            const TensorInfo& input1,
+                            const TensorInfo& output,
+                            char* reasonIfUnsupported = nullptr,
+                            size_t reasonIfUnsupportedMaxLength = 1024);
 }
diff --git a/src/armnn/Layer.cpp b/src/armnn/Layer.cpp
index cf825e3..85e1de0 100644
--- a/src/armnn/Layer.cpp
+++ b/src/armnn/Layer.cpp
@@ -132,7 +132,7 @@ Layer::Layer(unsigned int numInputSlots,
 : m_OutputHandlers(numOutputSlots)
 , m_LayerName(name ? name : "")
 , m_Type(type)
-, m_BackendId(UninitializedBackendId())
+, m_BackendId()
 , m_Guid(GenerateLayerGuid())
 {
     m_InputSlots.reserve(numInputSlots);
diff --git a/src/armnn/LayerSupport.cpp b/src/armnn/LayerSupport.cpp
index cf6ce27..b0b3ecc 100644
--- a/src/armnn/LayerSupport.cpp
+++ b/src/armnn/LayerSupport.cpp
@@ -16,11 +16,9 @@
 #include <unordered_map>
 #include <armnn/ArmNN.hpp>
 
-namespace armnn
-{
-
 namespace
 {
+
 /// Helper function to copy a full string to a truncated version.
 void CopyErrorMessage(char* truncatedString, const char* fullString, size_t maxLength)
 {
@@ -33,10 +31,13 @@ void CopyErrorMessage(char* truncatedString, const char* fullString, size_t maxL
     }
 }
 
-}
+} // anonymous namespace
+
+namespace armnn
+{
 
 // Helper macro to avoid code duplication.
-// Forwards function func to funcRef, funcNeon or funcCl, depending on the value of compute.
+// Forwards function func to funcRef, funcNeon or funcCl, depending on the value of backendId.
 #define FORWARD_LAYER_SUPPORT_FUNC(backendId, func, ...) \
     std::string reasonIfUnsupportedFull; \
     bool isSupported; \
@@ -177,6 +178,18 @@ bool IsDebugSupported(const BackendId& backend,
     FORWARD_LAYER_SUPPORT_FUNC(backend, IsDebugSupported, input, output, descriptor);
 }
 
+bool IsDepthwiseConvolutionSupported(const BackendId& backend,
+                                     const TensorInfo& input,
+                                     const TensorInfo& output,
+                                     const DepthwiseConvolution2dDescriptor& descriptor,
+                                     const TensorInfo& weights,
+                                     const Optional<TensorInfo>& biases,
+                                     char* reasonIfUnsupported,
+                                     size_t reasonIfUnsupportedMaxLength)
+{
+    FORWARD_LAYER_SUPPORT_FUNC(backend, IsDepthwiseConvolutionSupported, input, output, descriptor, weights, biases);
+}
+
 bool IsDivisionSupported(const BackendId& backend,
                          const TensorInfo& input0,
                          const TensorInfo& input1,
@@ -187,36 +200,39 @@ bool IsDivisionSupported(const BackendId& backend,
     FORWARD_LAYER_SUPPORT_FUNC(backend, IsDivisionSupported, input0, input1, output);
 }
 
-bool IsSubtractionSupported(const BackendId& backend,
-                            const TensorInfo& input0,
-                            const TensorInfo& input1,
-                            const TensorInfo& output,
-                            char* reasonIfUnsupported,
-                            size_t reasonIfUnsupportedMaxLength)
+bool IsEqualSupported(const BackendId& backend,
+                      const TensorInfo& input0,
+                      const TensorInfo& input1,
+                      const TensorInfo& output,
+                      char* reasonIfUnsupported,
+                      size_t reasonIfUnsupportedMaxLength)
 {
-    FORWARD_LAYER_SUPPORT_FUNC(backend, IsSubtractionSupported, input0, input1, output);
+    FORWARD_LAYER_SUPPORT_FUNC(backend, IsEqualSupported, input0, input1, output);
 }
 
-bool IsDepthwiseConvolutionSupported(const BackendId& backend,
-                                     const TensorInfo& input,
-                                     const TensorInfo& output,
-                                     const DepthwiseConvolution2dDescriptor& descriptor,
-                                     const TensorInfo& weights,
-                                     const Optional<TensorInfo>& biases,
-                                     char* reasonIfUnsupported,
-                                     size_t reasonIfUnsupportedMaxLength)
+bool IsFakeQuantizationSupported(const BackendId& backend,
+                                 const TensorInfo& input,
+                                 const FakeQuantizationDescriptor& descriptor,
+                                 char* reasonIfUnsupported,
+                                 size_t reasonIfUnsupportedMaxLength)
 {
-    FORWARD_LAYER_SUPPORT_FUNC(backend, IsDepthwiseConvolutionSupported, input, output, descriptor, weights, biases);
+    FORWARD_LAYER_SUPPORT_FUNC(backend, IsFakeQuantizationSupported, input, descriptor);
 }
 
-bool IsInputSupported(const BackendId& backend,
+bool IsFloorSupported(const BackendId& backend,
                       const TensorInfo& input,
+                      const TensorInfo& output,
                       char* reasonIfUnsupported,
                       size_t reasonIfUnsupportedMaxLength)
 {
-    FORWARD_LAYER_SUPPORT_FUNC(backend, IsInputSupported, input);
-}
+    // By definition (that is, regardless of compute device), shapes and data type must match.
+    if (input.GetShape() != output.GetShape() || input.GetDataType() != output.GetDataType())
+    {
+        return false;
+    }
 
+    FORWARD_LAYER_SUPPORT_FUNC(backend, IsFloorSupported, input, output);
+}
 bool IsFullyConnectedSupported(const BackendId& backend,
                                const TensorInfo& input,
                                const TensorInfo& output,
@@ -229,6 +245,25 @@ bool IsFullyConnectedSupported(const BackendId& backend,
     FORWARD_LAYER_SUPPORT_FUNC(backend, IsFullyConnectedSupported, input, output, weights, biases, descriptor);
 }
 
+bool IsGreaterSupported(const BackendId& backend,
+                        const TensorInfo& input0,
+                        const TensorInfo& input1,
+                        const TensorInfo& output,
+                        char* reasonIfUnsupported,
+                        size_t reasonIfUnsupportedMaxLength)
+{
+    FORWARD_LAYER_SUPPORT_FUNC(backend, IsGreaterSupported, input0, input1, output);
+}
+
+bool IsInputSupported(const BackendId& backend,
+                      const TensorInfo& input,
+                      char* reasonIfUnsupported,
+                      size_t reasonIfUnsupportedMaxLength)
+{
+    FORWARD_LAYER_SUPPORT_FUNC(backend, IsInputSupported, input);
+}
+
+
 bool IsL2NormalizationSupported(const BackendId& backend,
                                 const TensorInfo& input,
                                 const TensorInfo& output,
@@ -276,6 +311,25 @@ bool IsMaximumSupported(const BackendId& backend,
     FORWARD_LAYER_SUPPORT_FUNC(backend, IsMaximumSupported, input0, input1, output);
 }
 
+bool IsMeanSupported(const BackendId& backend,
+                     const TensorInfo& input,
+                     const TensorInfo& output,
+                     const MeanDescriptor& descriptor,
+                     char* reasonIfUnsupported,
+                     size_t reasonIfUnsupportedMaxLength)
+{
+    FORWARD_LAYER_SUPPORT_FUNC(backend, IsMeanSupported, input, output, descriptor);
+}
+
+bool IsMemCopySupported(const BackendId &backend,
+                        const TensorInfo &input,
+                        const TensorInfo &output,
+                        char *reasonIfUnsupported,
+                        size_t reasonIfUnsupportedMaxLength)
+{
+    FORWARD_LAYER_SUPPORT_FUNC(backend, IsMemCopySupported, input, output);
+}
+
 bool IsMergerSupported(const BackendId& backend,
                        std::vector<const TensorInfo*> inputs,
                        const TensorInfo& output,
@@ -287,6 +341,16 @@ bool IsMergerSupported(const BackendId& backend,
     FORWARD_LAYER_SUPPORT_FUNC(backend, IsMergerSupported, inputs, output, descriptor);
 }
 
+bool IsMinimumSupported(const BackendId& backend,
+                        const TensorInfo& input0,
+                        const TensorInfo& input1,
+                        const TensorInfo& output,
+                        char* reasonIfUnsupported,
+                        size_t reasonIfUnsupportedMaxLength)
+{
+    FORWARD_LAYER_SUPPORT_FUNC(backend, IsMinimumSupported, input0, input1, output);
+}
+
 bool IsMultiplicationSupported(const BackendId& backend,
                                const TensorInfo& input0,
                                const TensorInfo& input1,
@@ -315,6 +379,17 @@ bool IsOutputSupported(const BackendId& backend,
     FORWARD_LAYER_SUPPORT_FUNC(backend, IsOutputSupported, output);
 }
 
+bool IsPadSupported(const BackendId& backend,
+                    const TensorInfo& input,
+                    const TensorInfo& output,
+                    const PadDescriptor& descriptor,
+                    char* reasonIfUnsupported,
+                    size_t reasonIfUnsupportedMaxLength)
+{
+
+    FORWARD_LAYER_SUPPORT_FUNC(backend, IsPadSupported, input, output, descriptor);
+}
+
 bool IsPermuteSupported(const BackendId& backend,
                         const TensorInfo& input,
                         const TensorInfo& output,
@@ -335,6 +410,15 @@ bool IsPooling2dSupported(const BackendId& backend,
     FORWARD_LAYER_SUPPORT_FUNC(backend, IsPooling2dSupported, input, output, descriptor);
 }
 
+bool IsReshapeSupported(const BackendId& backend,
+                        const TensorInfo& input,
+                        const ReshapeDescriptor& descriptor,
+                        char* reasonIfUnsupported,
+                        size_t reasonIfUnsupportedMaxLength)
+{
+    FORWARD_LAYER_SUPPORT_FUNC(backend, IsReshapeSupported, input, descriptor);
+}
+
 bool IsResizeBilinearSupported(const BackendId& backend,
                                const TensorInfo& input,
                                char* reasonIfUnsupported,
@@ -343,6 +427,15 @@ bool IsResizeBilinearSupported(const BackendId& backend,
     FORWARD_LAYER_SUPPORT_FUNC(backend, IsResizeBilinearSupported, input);
 }
 
+bool IsRsqrtSupported(const BackendId& backend,
+                      const TensorInfo& input,
+                      const TensorInfo& output,
+                      char* reasonIfUnsupported,
+                      size_t reasonIfUnsupportedMaxLength)
+{
+    FORWARD_LAYER_SUPPORT_FUNC(backend, IsRsqrtSupported, input, output);
+}
+
 bool IsSoftmaxSupported(const BackendId& backend,
                         const TensorInfo& input,
                         const TensorInfo& output,
@@ -372,68 +465,6 @@ bool IsSplitterSupported(const BackendId& backend,
     FORWARD_LAYER_SUPPORT_FUNC(backend, IsSplitterSupported, input, descriptor);
 }
 
-bool IsFakeQuantizationSupported(const BackendId& backend,
-                                 const TensorInfo& input,
-                                 const FakeQuantizationDescriptor& descriptor,
-                                 char* reasonIfUnsupported,
-                                 size_t reasonIfUnsupportedMaxLength)
-{
-    FORWARD_LAYER_SUPPORT_FUNC(backend, IsFakeQuantizationSupported, input, descriptor);
-}
-
-bool IsReshapeSupported(const BackendId& backend,
-                        const TensorInfo& input,
-                        char* reasonIfUnsupported,
-                        size_t reasonIfUnsupportedMaxLength)
-{
-    FORWARD_LAYER_SUPPORT_FUNC(backend, IsReshapeSupported, input);
-}
-
-bool IsRsqrtSupported(const BackendId& backend,
-                      const TensorInfo& input,
-                      const TensorInfo& output,
-                      char* reasonIfUnsupported,
-                      size_t reasonIfUnsupportedMaxLength)
-{
-    FORWARD_LAYER_SUPPORT_FUNC(backend, IsRsqrtSupported, input, output);
-}
-
-bool IsFloorSupported(const BackendId& backend,
-                      const TensorInfo& input,
-                      const TensorInfo& output,
-                      char* reasonIfUnsupported,
-                      size_t reasonIfUnsupportedMaxLength)
-{
-    // By definition (that is, regardless of compute device), shapes and data type must match.
-    if (input.GetShape() != output.GetShape() || input.GetDataType() != output.GetDataType())
-    {
-        return false;
-    }
-
-    FORWARD_LAYER_SUPPORT_FUNC(backend, IsFloorSupported, input, output);
-}
-
-bool IsMeanSupported(const BackendId& backend,
-                     const TensorInfo& input,
-                     const TensorInfo& output,
-                     const MeanDescriptor& descriptor,
-                     char* reasonIfUnsupported,
-                     size_t reasonIfUnsupportedMaxLength)
-{
-    FORWARD_LAYER_SUPPORT_FUNC(backend, IsMeanSupported, input, output, descriptor);
-}
-
-bool IsPadSupported(const BackendId& backend,
-                    const TensorInfo& input,
-                    const TensorInfo& output,
-                    const PadDescriptor& descriptor,
-                    char* reasonIfUnsupported,
-                    size_t reasonIfUnsupportedMaxLength)
-{
-
-    FORWARD_LAYER_SUPPORT_FUNC(backend, IsPadSupported, input, output, descriptor);
-}
-
 bool IsStridedSliceSupported(const BackendId& backend,
                              const TensorInfo& input,
                              const TensorInfo& output,
@@ -444,34 +475,14 @@ bool IsStridedSliceSupported(const BackendId& backend,
     FORWARD_LAYER_SUPPORT_FUNC(backend, IsStridedSliceSupported, input, output, descriptor);
 }
 
-bool IsMinimumSupported(const BackendId& backend,
-                        const TensorInfo& input0,
-                        const TensorInfo& input1,
-                        const TensorInfo& output,
-                        char* reasonIfUnsupported,
-                        size_t reasonIfUnsupportedMaxLength)
-{
-    FORWARD_LAYER_SUPPORT_FUNC(backend, IsMinimumSupported, input0, input1, output);
-}
-
-bool IsGreaterSupported(const BackendId& backend,
-                        const TensorInfo& input0,
-                        const TensorInfo& input1,
-                        const TensorInfo& output,
-                        char* reasonIfUnsupported,
-                        size_t reasonIfUnsupportedMaxLength)
-{
-    FORWARD_LAYER_SUPPORT_FUNC(backend, IsGreaterSupported, input0, input1, output);
-}
-
-bool IsEqualSupported(const BackendId& backend,
-                      const TensorInfo& input0,
-                      const TensorInfo& input1,
-                      const TensorInfo& output,
-                      char* reasonIfUnsupported,
-                      size_t reasonIfUnsupportedMaxLength)
+bool IsSubtractionSupported(const BackendId& backend,
+                            const TensorInfo& input0,
+                            const TensorInfo& input1,
+                            const TensorInfo& output,
+                            char* reasonIfUnsupported,
+                            size_t reasonIfUnsupportedMaxLength)
 {
-    FORWARD_LAYER_SUPPORT_FUNC(backend, IsEqualSupported, input0, input1, output);
+    FORWARD_LAYER_SUPPORT_FUNC(backend, IsSubtractionSupported, input0, input1, output);
 }
 
-}
+} // namespace armnn
diff --git a/src/armnn/Profiling.cpp b/src/armnn/Profiling.cpp
index 4caa319..c153eb6 100644
--- a/src/armnn/Profiling.cpp
+++ b/src/armnn/Profiling.cpp
@@ -132,7 +132,7 @@ void Profiler::AnalyzeEventSequenceAndWriteResults(ItertType first, ItertType la
                       << std::setw(20) << durationMs
                       << std::setw(20) << startTimeMs
                       << std::setw(20) << stopTimeMs
-                      << std::setw(20) << GetComputeDeviceAsCString(eventPtr->GetComputeDevice())
+                      << std::setw(20) << eventPtr->GetBackendId().Get()
                       << std::endl;
         }
         outStream << std::endl;
@@ -194,10 +194,12 @@ void Profiler::EnableProfiling(bool enableProfiling)
     m_ProfilingEnabled = enableProfiling;
 }
 
-Event* Profiler::BeginEvent(Compute compute, const std::string& label, std::vector<InstrumentPtr>&& instruments)
+Event* Profiler::BeginEvent(const BackendId& backendId,
+                            const std::string& label,
+                            std::vector<InstrumentPtr>&& instruments)
 {
     Event* parent = m_Parents.empty() ? nullptr : m_Parents.top();
-    m_EventSequence.push_back(std::make_unique<Event>(label, this, parent, compute, std::move(instruments)));
+    m_EventSequence.push_back(std::make_unique<Event>(label, this, parent, backendId, std::move(instruments)));
     Event* event = m_EventSequence.back().get();
     event->Start();
 
diff --git a/src/armnn/Profiling.hpp b/src/armnn/Profiling.hpp
index ef6bfd5..0fb60d3 100644
--- a/src/armnn/Profiling.hpp
+++ b/src/armnn/Profiling.hpp
@@ -35,7 +35,7 @@ public:
 
     // Marks the beginning of a user-defined event.
     // No attempt will be made to copy the name string: it must be known at compile time.
-    Event* BeginEvent(Compute compute, const std::string& name, std::vector<InstrumentPtr>&& instruments);
+    Event* BeginEvent(const BackendId& backendId, const std::string& name, std::vector<InstrumentPtr>&& instruments);
 
     // Marks the end of a user-defined event.
     void EndEvent(Event* event);
@@ -117,7 +117,7 @@ public:
     using InstrumentPtr = std::unique_ptr<Instrument>;
 
     template<typename... Args>
-    ScopedProfilingEvent(Compute compute, const std::string& name, Args... args)
+    ScopedProfilingEvent(const BackendId& backendId, const std::string& name, Args... args)
         : m_Event(nullptr)
         , m_Profiler(ProfilerManager::GetInstance().GetProfiler())
     {
@@ -126,7 +126,7 @@ public:
             std::vector<InstrumentPtr> instruments(0);
             instruments.reserve(sizeof...(args)); //One allocation
             ConstructNextInVector(instruments, args...);
-            m_Event = m_Profiler->BeginEvent(compute, name, std::move(instruments));
+            m_Event = m_Profiler->BeginEvent(backendId, name, std::move(instruments));
         }
     }
 
@@ -152,15 +152,15 @@ private:
         ConstructNextInVector(instruments, args...);
     }
 
-    Event* m_Event;                                 ///< Event to track
-    Profiler* m_Profiler;                           ///< Profiler used
+    Event* m_Event;       ///< Event to track
+    Profiler* m_Profiler; ///< Profiler used
 };
 
 } // namespace armnn
 
 // The event name must be known at compile time
-#define ARMNN_SCOPED_PROFILING_EVENT_WITH_INSTRUMENTS(compute, /*name,*/ ...) \
-    armnn::ScopedProfilingEvent e_##__FILE__##__LINE__(compute, /*name,*/ __VA_ARGS__);
+#define ARMNN_SCOPED_PROFILING_EVENT_WITH_INSTRUMENTS(backendId, /*name,*/ ...) \
+    armnn::ScopedProfilingEvent e_##__FILE__##__LINE__(backendId, /*name,*/ __VA_ARGS__);
 
-#define ARMNN_SCOPED_PROFILING_EVENT(compute, name) \
-    ARMNN_SCOPED_PROFILING_EVENT_WITH_INSTRUMENTS(compute, name, armnn::WallClockTimer())
+#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name) \
+    ARMNN_SCOPED_PROFILING_EVENT_WITH_INSTRUMENTS(backendId, name, armnn::WallClockTimer())
diff --git a/src/armnn/ProfilingEvent.cpp b/src/armnn/ProfilingEvent.cpp
index 55e931a..60fb2f7 100644
--- a/src/armnn/ProfilingEvent.cpp
+++ b/src/armnn/ProfilingEvent.cpp
@@ -11,12 +11,12 @@ namespace armnn
 Event::Event(const std::string& eventName,
              Profiler* profiler,
              Event* parent,
-             const Compute computeDevice,
+             const BackendId backendId,
              std::vector<InstrumentPtr>&& instruments)
     : m_EventName(eventName)
     , m_Profiler(profiler)
     , m_Parent(parent)
-    , m_ComputeDevice(computeDevice)
+    , m_BackendId(backendId)
     , m_Instruments(std::move(instruments))
 {
 }
@@ -25,7 +25,7 @@ Event::Event(Event&& other) noexcept
     : m_EventName(std::move(other.m_EventName))
     , m_Profiler(other.m_Profiler)
     , m_Parent(other.m_Parent)
-    , m_ComputeDevice(other.m_ComputeDevice)
+    , m_BackendId(other.m_BackendId)
     , m_Instruments(std::move(other.m_Instruments))
 
 {
@@ -79,9 +79,9 @@ const Event* Event::GetParentEvent() const
     return m_Parent;
 }
 
-Compute Event::GetComputeDevice() const
+BackendId Event::GetBackendId() const
 {
-    return m_ComputeDevice;
+    return m_BackendId;
 }
 
 Event& Event::operator=(Event&& other) noexcept
@@ -94,7 +94,7 @@ Event& Event::operator=(Event&& other) noexcept
     m_EventName = other.m_EventName;
     m_Profiler = other.m_Profiler;
     m_Parent = other.m_Parent;
-    m_ComputeDevice = other.m_ComputeDevice;
+    m_BackendId = other.m_BackendId;
     other.m_Profiler = nullptr;
     other.m_Parent = nullptr;
     return *this;
diff --git a/src/armnn/ProfilingEvent.hpp b/src/armnn/ProfilingEvent.hpp
index 1347355..9f57753 100644
--- a/src/armnn/ProfilingEvent.hpp
+++ b/src/armnn/ProfilingEvent.hpp
@@ -27,10 +27,10 @@ public:
     using Instruments = std::vector<InstrumentPtr>;
 
     Event(const std::string& eventName,
-        Profiler* profiler,
-        Event* parent,
-        const Compute computeDevice,
-        std::vector<InstrumentPtr>&& instrument);
+          Profiler* profiler,
+          Event* parent,
+          const BackendId backendId,
+          std::vector<InstrumentPtr>&& instrument);
 
     Event(const Event& other) = delete;
 
@@ -62,9 +62,9 @@ public:
     /// \return Pointer of the parent event
     const Event* GetParentEvent() const;
 
-    /// Get the compute device of the event
-    /// \return Compute device of the event
-    Compute GetComputeDevice() const;
+    /// Get the backend id of the event
+    /// \return Backend id of the event
+    BackendId GetBackendId() const;
 
     /// Assignment operator
     Event& operator=(const Event& other) = delete;
@@ -82,8 +82,8 @@ private:
     /// Stores optional parent event
     Event* m_Parent;
 
-    /// Compute device
-    Compute m_ComputeDevice;
+    /// Backend id
+    BackendId m_BackendId;
 
     /// Instruments to use
     Instruments m_Instruments;
diff --git a/src/armnn/test/ProfilingEventTest.cpp b/src/armnn/test/ProfilingEventTest.cpp
index 9e31ccb..0add836 100644
--- a/src/armnn/test/ProfilingEventTest.cpp
+++ b/src/armnn/test/ProfilingEventTest.cpp
@@ -2,10 +2,12 @@
 // Copyright © 2017 Arm Ltd. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
+
 #include <boost/test/unit_test.hpp>
 
 #include "ProfilingEvent.hpp"
 #include "Profiling.hpp"
+
 #include <thread>
 
 using namespace armnn;
@@ -24,7 +26,7 @@ BOOST_AUTO_TEST_CASE(ProfilingEventTest)
     Event testEvent(eventName,
                     nullptr,
                     nullptr,
-                    armnn::Compute::Undefined,
+                    BackendId(),
                     std::move(insts1));
 
     BOOST_CHECK_EQUAL(testEvent.GetName(), "EventName");
@@ -41,17 +43,18 @@ BOOST_AUTO_TEST_CASE(ProfilingEventTest)
     BOOST_CHECK_GE(testEvent.GetMeasurements().front().m_Value, 10.0);
 
     // create a sub event with CpuAcc
+    BackendId cpuAccBackendId(Compute::CpuAcc);
     Event::Instruments insts2;
     insts2.emplace_back(std::make_unique<WallClockTimer>());
     Event testEvent2(eventName,
                      profileManager.GetProfiler(),
                      &testEvent,
-                     Compute::CpuAcc,
+                     cpuAccBackendId,
                      std::move(insts2));
 
     BOOST_CHECK_EQUAL(&testEvent, testEvent2.GetParentEvent());
     BOOST_CHECK_EQUAL(profileManager.GetProfiler(), testEvent2.GetProfiler());
-    BOOST_CHECK_EQUAL(Compute::CpuAcc, testEvent2.GetComputeDevice());
+    BOOST_CHECK(cpuAccBackendId == testEvent2.GetBackendId());
 }
 
 BOOST_AUTO_TEST_CASE(ProfilingEventTestOnGpuAcc)
@@ -66,7 +69,7 @@ BOOST_AUTO_TEST_CASE(ProfilingEventTestOnGpuAcc)
     Event testEvent(eventName,
                     nullptr,
                     nullptr,
-                    armnn::Compute::Undefined,
+                    BackendId(),
                     std::move(insts1));
 
     BOOST_CHECK_EQUAL(testEvent.GetName(), "GPUEvent");
@@ -83,13 +86,18 @@ BOOST_AUTO_TEST_CASE(ProfilingEventTestOnGpuAcc)
     BOOST_CHECK_GE(testEvent.GetMeasurements().front().m_Value, 10.0);
 
     // create a sub event
+    BackendId gpuAccBackendId(Compute::GpuAcc);
     Event::Instruments insts2;
     insts2.emplace_back(std::make_unique<WallClockTimer>());
-    Event testEvent2(eventName, profileManager.GetProfiler(), &testEvent, Compute::GpuAcc, std::move(insts2));
+    Event testEvent2(eventName,
+                     profileManager.GetProfiler(),
+                     &testEvent,
+                     gpuAccBackendId,
+                     std::move(insts2));
 
     BOOST_CHECK_EQUAL(&testEvent, testEvent2.GetParentEvent());
     BOOST_CHECK_EQUAL(profileManager.GetProfiler(), testEvent2.GetProfiler());
-    BOOST_CHECK_EQUAL(Compute::GpuAcc, testEvent2.GetComputeDevice());
+    BOOST_CHECK(gpuAccBackendId == testEvent2.GetBackendId());
 }
 
 BOOST_AUTO_TEST_SUITE_END()
diff --git a/src/backends/backendsCommon/CMakeLists.txt b/src/backends/backendsCommon/CMakeLists.txt
index b120f51..1aa4d99 100644
--- a/src/backends/backendsCommon/CMakeLists.txt
+++ b/src/backends/backendsCommon/CMakeLists.txt
@@ -11,7 +11,8 @@ list(APPEND armnnBackendsCommon_sources
     CpuTensorHandle.hpp
     IBackendInternal.hpp
     IBackendContext.hpp
-    ILayerSupport.cpp
+    LayerSupportBase.cpp
+    LayerSupportBase.hpp
     IMemoryManager.hpp
     ITensorHandle.hpp
     MakeWorkloadHelper.hpp
diff --git a/src/backends/backendsCommon/ILayerSupport.cpp b/src/backends/backendsCommon/ILayerSupport.cpp
deleted file mode 100644
index aa1bb50..0000000
--- a/src/backends/backendsCommon/ILayerSupport.cpp
+++ /dev/null
@@ -1,346 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include <armnn/ILayerSupport.hpp>
-#include <armnn/Exceptions.hpp>
-
-namespace armnn
-{
-
-namespace
-{
-
-bool DefaultLayerSupport(const char* func,
-                         const char* file,
-                         unsigned int line,
-                         Optional<std::string&> reasonIfUnsupported)
-{
-    // NOTE: We only need to return the reason if the optional parameter is not empty
-    if (reasonIfUnsupported)
-    {
-        std::stringstream message;
-        message << func << " is not implemented [" << file << ":" << line << "]";
-
-        reasonIfUnsupported.value() = message.str();
-    }
-
-    return false;
-}
-
-} // anonymous namespace
-
-bool ILayerSupport::IsActivationSupported(const TensorInfo& input,
-                                          const TensorInfo& output,
-                                          const ActivationDescriptor& descriptor,
-                                          Optional<std::string&> reasonIfUnsupported) const
-{
-    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
-
-bool ILayerSupport::IsAdditionSupported(const TensorInfo& input0,
-                                        const TensorInfo& input1,
-                                        const TensorInfo& output,
-                                        Optional<std::string&> reasonIfUnsupported) const
-{
-    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
-
-bool ILayerSupport::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) const
-{
-    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
-
-bool ILayerSupport::IsBatchToSpaceNdSupported(const TensorInfo& input,
-                                              const TensorInfo& output,
-                                              const BatchToSpaceNdDescriptor& descriptor,
-                                              Optional<std::string&> reasonIfUnsupported) const
-{
-    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
-
-bool ILayerSupport::IsConstantSupported(const TensorInfo& output,
-                                        Optional<std::string&> reasonIfUnsupported) const
-{
-    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
-
-bool ILayerSupport::IsConvertFp16ToFp32Supported(const TensorInfo& input,
-                                                 const TensorInfo& output,
-                                                 Optional<std::string&> reasonIfUnsupported) const
-{
-    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
-
-bool ILayerSupport::IsConvertFp32ToFp16Supported(const TensorInfo& input,
-                                                 const TensorInfo& output,
-                                                 Optional<std::string&> reasonIfUnsupported) const
-{
-    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
-
-bool ILayerSupport::IsConvolution2dSupported(const TensorInfo& input,
-                                             const TensorInfo& output,
-                                             const Convolution2dDescriptor& descriptor,
-                                             const TensorInfo& weights,
-                                             const Optional<TensorInfo>& biases,
-                                             Optional<std::string&> reasonIfUnsupported) const
-{
-    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
-
-bool ILayerSupport::IsDebugSupported(const TensorInfo& input,
-                                     const TensorInfo& output,
-                                     const DebugDescriptor& descriptor,
-                                     Optional<std::string&> reasonIfUnsupported) const
-{
-    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
-
-bool ILayerSupport::IsDepthwiseConvolutionSupported(const TensorInfo& input,
-                                                    const TensorInfo& output,
-                                                    const DepthwiseConvolution2dDescriptor& descriptor,
-                                                    const TensorInfo& weights,
-                                                    const Optional<TensorInfo>& biases,
-                                                    Optional<std::string&> reasonIfUnsupported) const
-{
-    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
-
-bool ILayerSupport::IsDivisionSupported(const TensorInfo& input0,
-                                        const TensorInfo& input1,
-                                        const TensorInfo& output,
-                                        Optional<std::string&> reasonIfUnsupported) const
-{
-    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
-
-bool ILayerSupport::IsEqualSupported(const armnn::TensorInfo& input0,
-                                     const armnn::TensorInfo& input1,
-                                     const armnn::TensorInfo& output,
-                                     armnn::Optional<std::string &> reasonIfUnsupported) const
-{
-    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
-
-bool ILayerSupport::IsFakeQuantizationSupported(const TensorInfo& input,
-                                                const FakeQuantizationDescriptor& descriptor,
-                                                Optional<std::string&> reasonIfUnsupported) const
-{
-    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
-
-bool ILayerSupport::IsFloorSupported(const TensorInfo& input,
-                                     const TensorInfo& output,
-                                     Optional<std::string&> reasonIfUnsupported) const
-{
-    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
-
-bool ILayerSupport::IsFullyConnectedSupported(const TensorInfo& input,
-                                              const TensorInfo& output,
-                                              const TensorInfo& weights,
-                                              const TensorInfo& biases,
-                                              const FullyConnectedDescriptor& descriptor,
-                                              Optional<std::string&> reasonIfUnsupported) const
-{
-    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
-
-bool ILayerSupport::IsInputSupported(const TensorInfo& input,
-                                     Optional<std::string&> reasonIfUnsupported) const
-{
-    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
-
-bool ILayerSupport::IsL2NormalizationSupported(const TensorInfo& input,
-                                               const TensorInfo& output,
-                                               const L2NormalizationDescriptor& descriptor,
-                                               Optional<std::string&> reasonIfUnsupported) const
-{
-    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
-
-bool ILayerSupport::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 TensorInfo& inputToForgetWeights,
-                                    const TensorInfo& inputToCellWeights,
-                                    const TensorInfo& inputToOutputWeights,
-                                    const TensorInfo& recurrentToForgetWeights,
-                                    const TensorInfo& recurrentToCellWeights,
-                                    const TensorInfo& recurrentToOutputWeights,
-                                    const TensorInfo& forgetGateBias,
-                                    const TensorInfo& cellBias,
-                                    const TensorInfo& outputGateBias,
-                                    const TensorInfo* inputToInputWeights,
-                                    const TensorInfo* recurrentToInputWeights,
-                                    const TensorInfo* cellToInputWeights,
-                                    const TensorInfo* inputGateBias,
-                                    const TensorInfo* projectionWeights,
-                                    const TensorInfo* projectionBias,
-                                    const TensorInfo* cellToForgetWeights,
-                                    const TensorInfo* cellToOutputWeights,
-                                    Optional<std::string&> reasonIfUnsupported) const
-{
-    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
-
-bool ILayerSupport::IsMaximumSupported(const TensorInfo& input0,
-                                       const TensorInfo& input1,
-                                       const TensorInfo& output,
-                                       Optional<std::string&> reasonIfUnsupported) const
-{
-    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
-
-bool ILayerSupport::IsMeanSupported(const TensorInfo& input,
-                                    const TensorInfo& output,
-                                    const MeanDescriptor& descriptor,
-                                    Optional<std::string&> reasonIfUnsupported) const
-{
-    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
-
-bool ILayerSupport::IsMergerSupported(const std::vector<const TensorInfo*> inputs,
-                                      const TensorInfo& output,
-                                      const OriginsDescriptor& descriptor,
-                                      Optional<std::string&> reasonIfUnsupported) const
-{
-    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
-
-bool ILayerSupport::IsMinimumSupported(const TensorInfo& input0,
-                                       const TensorInfo& input1,
-                                       const TensorInfo& output,
-                                       Optional<std::string&> reasonIfUnsupported) const
-{
-    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
-
-bool ILayerSupport::IsMultiplicationSupported(const TensorInfo& input0,
-                                              const TensorInfo& input1,
-                                              const TensorInfo& output,
-                                              Optional<std::string&> reasonIfUnsupported) const
-{
-    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
-
-bool ILayerSupport::IsNormalizationSupported(const TensorInfo& input,
-                                             const TensorInfo& output,
-                                             const NormalizationDescriptor& descriptor,
-                                             Optional<std::string&> reasonIfUnsupported) const
-{
-    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
-
-bool ILayerSupport::IsOutputSupported(const TensorInfo& output,
-                                      Optional<std::string&> reasonIfUnsupported) const
-{
-    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
-
-bool ILayerSupport::IsPadSupported(const TensorInfo& input,
-                                   const TensorInfo& output,
-                                   const PadDescriptor& descriptor,
-                                   Optional<std::string&> reasonIfUnsupported) const
-{
-    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
-
-bool ILayerSupport::IsPermuteSupported(const TensorInfo& input,
-                                       const TensorInfo& output,
-                                       const PermuteDescriptor& descriptor,
-                                       Optional<std::string&> reasonIfUnsupported) const
-{
-    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
-
-bool ILayerSupport::IsPooling2dSupported(const TensorInfo& input,
-                                         const TensorInfo& output,
-                                         const Pooling2dDescriptor& descriptor,
-                                         Optional<std::string&> reasonIfUnsupported) const
-{
-    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
-
-bool ILayerSupport::IsReshapeSupported(const TensorInfo& input,
-                                       Optional<std::string&> reasonIfUnsupported) const
-{
-    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
-
-bool ILayerSupport::IsResizeBilinearSupported(const TensorInfo& input,
-                                              Optional<std::string&> reasonIfUnsupported) const
-{
-    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
-
-bool ILayerSupport::IsSoftmaxSupported(const TensorInfo& input,
-                                       const TensorInfo& output,
-                                       const SoftmaxDescriptor& descriptor,
-                                       Optional<std::string&> reasonIfUnsupported) const
-{
-    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
-
-bool ILayerSupport::IsSpaceToBatchNdSupported(const TensorInfo& input,
-                                              const TensorInfo& output,
-                                              const SpaceToBatchNdDescriptor& descriptor,
-                                              Optional<std::string&> reasonIfUnsupported) const
-{
-    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
-
-bool ILayerSupport::IsSplitterSupported(const TensorInfo& input,
-                                        const ViewsDescriptor& descriptor,
-                                        Optional<std::string&> reasonIfUnsupported) const
-{
-    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
-
-bool ILayerSupport::IsStridedSliceSupported(const TensorInfo& input,
-                                            const TensorInfo& output,
-                                            const StridedSliceDescriptor& descriptor,
-                                            Optional<std::string&> reasonIfUnsupported) const
-{
-    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
-
-bool ILayerSupport::IsSubtractionSupported(const TensorInfo& input0,
-                                           const TensorInfo& input1,
-                                           const TensorInfo& output,
-                                           Optional<std::string&> reasonIfUnsupported) const
-{
-    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
-
-bool ILayerSupport::IsGreaterSupported(const TensorInfo& input0,
-                                       const TensorInfo& input1,
-                                       const TensorInfo& output,
-                                       Optional<std::string&> reasonIfUnsupported) const
-{
-    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
-
-bool ILayerSupport::IsRsqrtSupported(const TensorInfo &input,
-                                     const TensorInfo &output,
-                                     Optional<std::string &> reasonIfUnsupported) const
-{
-    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
-
-} // namespace armnn
diff --git a/src/backends/backendsCommon/LayerSupportBase.cpp b/src/backends/backendsCommon/LayerSupportBase.cpp
new file mode 100644
index 0000000..2987e5d
--- /dev/null
+++ b/src/backends/backendsCommon/LayerSupportBase.cpp
@@ -0,0 +1,355 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "LayerSupportBase.hpp"
+
+#include <armnn/Exceptions.hpp>
+
+namespace
+{
+
+bool DefaultLayerSupport(const char* func,
+                         const char* file,
+                         unsigned int line,
+                         armnn::Optional<std::string&> reasonIfUnsupported)
+{
+    // NOTE: We only need to return the reason if the optional parameter is not empty
+    if (reasonIfUnsupported)
+    {
+        std::stringstream message;
+        message << func << " is not implemented [" << file << ":" << line << "]";
+
+        reasonIfUnsupported.value() = message.str();
+    }
+
+    return false;
+}
+
+} // anonymous namespace
+
+namespace armnn
+{
+
+bool LayerSupportBase::IsActivationSupported(const TensorInfo& input,
+                                             const TensorInfo& output,
+                                             const ActivationDescriptor& descriptor,
+                                             Optional<std::string&> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::IsAdditionSupported(const TensorInfo& input0,
+                                           const TensorInfo& input1,
+                                           const TensorInfo& output,
+                                           Optional<std::string&> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::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) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::IsBatchToSpaceNdSupported(const TensorInfo& input,
+                                                 const TensorInfo& output,
+                                                 const BatchToSpaceNdDescriptor& descriptor,
+                                                 Optional<std::string&> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::IsConstantSupported(const TensorInfo& output,
+                                           Optional<std::string&> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::IsConvertFp16ToFp32Supported(const TensorInfo& input,
+                                                    const TensorInfo& output,
+                                                    Optional<std::string&> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::IsConvertFp32ToFp16Supported(const TensorInfo& input,
+                                                    const TensorInfo& output,
+                                                    Optional<std::string&> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::IsConvolution2dSupported(const TensorInfo& input,
+                                                const TensorInfo& output,
+                                                const Convolution2dDescriptor& descriptor,
+                                                const TensorInfo& weights,
+                                                const Optional<TensorInfo>& biases,
+                                                Optional<std::string&> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::IsDebugSupported(const TensorInfo& input,
+                                        const TensorInfo& output,
+                                        const DebugDescriptor& descriptor,
+                                        Optional<std::string&> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::IsDepthwiseConvolutionSupported(const TensorInfo& input,
+                                                       const TensorInfo& output,
+                                                       const DepthwiseConvolution2dDescriptor& descriptor,
+                                                       const TensorInfo& weights,
+                                                       const Optional<TensorInfo>& biases,
+                                                       Optional<std::string&> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::IsDivisionSupported(const TensorInfo& input0,
+                                           const TensorInfo& input1,
+                                           const TensorInfo& output,
+                                           Optional<std::string&> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::IsEqualSupported(const armnn::TensorInfo& input0,
+                                        const armnn::TensorInfo& input1,
+                                        const armnn::TensorInfo& output,
+                                        armnn::Optional<std::string &> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::IsFakeQuantizationSupported(const TensorInfo& input,
+                                                   const FakeQuantizationDescriptor& descriptor,
+                                                   Optional<std::string&> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::IsFloorSupported(const TensorInfo& input,
+                                        const TensorInfo& output,
+                                        Optional<std::string&> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::IsFullyConnectedSupported(const TensorInfo& input,
+                                                 const TensorInfo& output,
+                                                 const TensorInfo& weights,
+                                                 const TensorInfo& biases,
+                                                 const FullyConnectedDescriptor& descriptor,
+                                                 Optional<std::string&> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::IsInputSupported(const TensorInfo& input,
+                                        Optional<std::string&> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::IsL2NormalizationSupported(const TensorInfo& input,
+                                                  const TensorInfo& output,
+                                                  const L2NormalizationDescriptor& descriptor,
+                                                  Optional<std::string&> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::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 TensorInfo& inputToForgetWeights,
+                                       const TensorInfo& inputToCellWeights,
+                                       const TensorInfo& inputToOutputWeights,
+                                       const TensorInfo& recurrentToForgetWeights,
+                                       const TensorInfo& recurrentToCellWeights,
+                                       const TensorInfo& recurrentToOutputWeights,
+                                       const TensorInfo& forgetGateBias,
+                                       const TensorInfo& cellBias,
+                                       const TensorInfo& outputGateBias,
+                                       const TensorInfo* inputToInputWeights,
+                                       const TensorInfo* recurrentToInputWeights,
+                                       const TensorInfo* cellToInputWeights,
+                                       const TensorInfo* inputGateBias,
+                                       const TensorInfo* projectionWeights,
+                                       const TensorInfo* projectionBias,
+                                       const TensorInfo* cellToForgetWeights,
+                                       const TensorInfo* cellToOutputWeights,
+                                       Optional<std::string&> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::IsMaximumSupported(const TensorInfo& input0,
+                                          const TensorInfo& input1,
+                                          const TensorInfo& output,
+                                          Optional<std::string&> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::IsMeanSupported(const TensorInfo& input,
+                                       const TensorInfo& output,
+                                       const MeanDescriptor& descriptor,
+                                       Optional<std::string&> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::IsMemCopySupported(const armnn::TensorInfo& input,
+                                          const armnn::TensorInfo& output,
+                                          armnn::Optional<std::string &> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::IsMergerSupported(const std::vector<const TensorInfo*> inputs,
+                                         const TensorInfo& output,
+                                         const OriginsDescriptor& descriptor,
+                                         Optional<std::string&> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::IsMinimumSupported(const TensorInfo& input0,
+                                          const TensorInfo& input1,
+                                          const TensorInfo& output,
+                                          Optional<std::string&> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::IsMultiplicationSupported(const TensorInfo& input0,
+                                                 const TensorInfo& input1,
+                                                 const TensorInfo& output,
+                                                 Optional<std::string&> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::IsNormalizationSupported(const TensorInfo& input,
+                                                const TensorInfo& output,
+                                                const NormalizationDescriptor& descriptor,
+                                                Optional<std::string&> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::IsOutputSupported(const TensorInfo& output,
+                                         Optional<std::string&> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::IsPadSupported(const TensorInfo& input,
+                                      const TensorInfo& output,
+                                      const PadDescriptor& descriptor,
+                                      Optional<std::string&> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::IsPermuteSupported(const TensorInfo& input,
+                                          const TensorInfo& output,
+                                          const PermuteDescriptor& descriptor,
+                                          Optional<std::string&> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::IsPooling2dSupported(const TensorInfo& input,
+                                            const TensorInfo& output,
+                                            const Pooling2dDescriptor& descriptor,
+                                            Optional<std::string&> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::IsReshapeSupported(const TensorInfo& input,
+                                          const ReshapeDescriptor& descriptor,
+                                          Optional<std::string&> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::IsResizeBilinearSupported(const TensorInfo& input,
+                                                 Optional<std::string&> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::IsSoftmaxSupported(const TensorInfo& input,
+                                          const TensorInfo& output,
+                                          const SoftmaxDescriptor& descriptor,
+                                          Optional<std::string&> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::IsSpaceToBatchNdSupported(const TensorInfo& input,
+                                                 const TensorInfo& output,
+                                                 const SpaceToBatchNdDescriptor& descriptor,
+                                                 Optional<std::string&> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::IsSplitterSupported(const TensorInfo& input,
+                                           const ViewsDescriptor& descriptor,
+                                           Optional<std::string&> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::IsStridedSliceSupported(const TensorInfo& input,
+                                               const TensorInfo& output,
+                                               const StridedSliceDescriptor& descriptor,
+                                               Optional<std::string&> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::IsSubtractionSupported(const TensorInfo& input0,
+                                              const TensorInfo& input1,
+                                              const TensorInfo& output,
+                                              Optional<std::string&> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::IsGreaterSupported(const TensorInfo& input0,
+                                          const TensorInfo& input1,
+                                          const TensorInfo& output,
+                                          Optional<std::string&> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::IsRsqrtSupported(const TensorInfo &input,
+                                        const TensorInfo &output,
+                                        Optional<std::string &> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+} // namespace armnn
diff --git a/src/backends/backendsCommon/LayerSupportBase.hpp b/src/backends/backendsCommon/LayerSupportBase.hpp
new file mode 100644
index 0000000..8c7aa98
--- /dev/null
+++ b/src/backends/backendsCommon/LayerSupportBase.hpp
@@ -0,0 +1,223 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include <armnn/ILayerSupport.hpp>
+
+namespace armnn
+{
+
+class LayerSupportBase : public ILayerSupport
+{
+public:
+    bool IsActivationSupported(const TensorInfo& input,
+                               const TensorInfo& output,
+                               const ActivationDescriptor& descriptor,
+                               Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    bool IsAdditionSupported(const TensorInfo& input0,
+                             const TensorInfo& input1,
+                             const TensorInfo& output,
+                             Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    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()) const override;
+
+    bool IsBatchToSpaceNdSupported(const TensorInfo& input,
+                                   const TensorInfo& output,
+                                   const BatchToSpaceNdDescriptor& descriptor,
+                                   Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    bool IsConstantSupported(const TensorInfo& output,
+                             Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    bool IsConvertFp16ToFp32Supported(const TensorInfo& input,
+                                      const TensorInfo& output,
+                                      Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    bool IsConvertFp32ToFp16Supported(const TensorInfo& input,
+                                      const TensorInfo& output,
+                                      Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    bool IsConvolution2dSupported(const TensorInfo& input,
+                                  const TensorInfo& output,
+                                  const Convolution2dDescriptor& descriptor,
+                                  const TensorInfo& weights,
+                                  const Optional<TensorInfo>& biases,
+                                  Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    bool IsDebugSupported(const TensorInfo& input,
+                          const TensorInfo& output,
+                          const DebugDescriptor& descriptor,
+                          Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    bool IsDepthwiseConvolutionSupported(const TensorInfo& input,
+                                         const TensorInfo& output,
+                                         const DepthwiseConvolution2dDescriptor& descriptor,
+                                         const TensorInfo& weights,
+                                         const Optional<TensorInfo>& biases,
+                                         Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    bool IsDivisionSupported(const TensorInfo& input0,
+                             const TensorInfo& input1,
+                             const TensorInfo& output,
+                             Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    bool IsEqualSupported(const TensorInfo& input0,
+                          const TensorInfo& input1,
+                          const TensorInfo& output,
+                          Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    bool IsFakeQuantizationSupported(const TensorInfo& input,
+                                     const FakeQuantizationDescriptor& descriptor,
+                                     Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    bool IsFloorSupported(const TensorInfo& input,
+                          const TensorInfo& output,
+                          Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    bool IsFullyConnectedSupported(const TensorInfo& input,
+                                   const TensorInfo& output,
+                                   const TensorInfo& weights,
+                                   const TensorInfo& biases,
+                                   const FullyConnectedDescriptor& descriptor,
+                                   Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    bool IsGreaterSupported(const TensorInfo& input0,
+                            const TensorInfo& input1,
+                            const TensorInfo& output,
+                            Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    bool IsInputSupported(const TensorInfo& input,
+                          Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    bool IsL2NormalizationSupported(const TensorInfo& input,
+                                    const TensorInfo& output,
+                                    const L2NormalizationDescriptor& descriptor,
+                                    Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    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 TensorInfo& inputToForgetWeights,
+                         const TensorInfo& inputToCellWeights,
+                         const TensorInfo& inputToOutputWeights,
+                         const TensorInfo& recurrentToForgetWeights,
+                         const TensorInfo& recurrentToCellWeights,
+                         const TensorInfo& recurrentToOutputWeights,
+                         const TensorInfo& forgetGateBias,
+                         const TensorInfo& cellBias,
+                         const TensorInfo& outputGateBias,
+                         const TensorInfo* inputToInputWeights,
+                         const TensorInfo* recurrentToInputWeights,
+                         const TensorInfo* cellToInputWeights,
+                         const TensorInfo* inputGateBias,
+                         const TensorInfo* projectionWeights,
+                         const TensorInfo* projectionBias,
+                         const TensorInfo* cellToForgetWeights,
+                         const TensorInfo* cellToOutputWeights,
+                         Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    bool IsMaximumSupported(const TensorInfo& input0,
+                            const TensorInfo& input1,
+                            const TensorInfo& output,
+                            Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    bool IsMeanSupported(const TensorInfo& input,
+                         const TensorInfo& output,
+                         const MeanDescriptor& descriptor,
+                         Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    bool IsMemCopySupported(const TensorInfo& input,
+                            const TensorInfo& output,
+                            Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    bool IsMergerSupported(const std::vector<const TensorInfo*> inputs,
+                           const TensorInfo& output,
+                           const OriginsDescriptor& descriptor,
+                           Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    bool IsMinimumSupported(const TensorInfo& input0,
+                            const TensorInfo& input1,
+                            const TensorInfo& output,
+                            Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    bool IsMultiplicationSupported(const TensorInfo& input0,
+                                   const TensorInfo& input1,
+                                   const TensorInfo& output,
+                                   Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    bool IsNormalizationSupported(const TensorInfo& input,
+                                  const TensorInfo& output,
+                                  const NormalizationDescriptor& descriptor,
+                                  Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    bool IsOutputSupported(const TensorInfo& output,
+                           Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    bool IsPadSupported(const TensorInfo& input,
+                        const TensorInfo& output,
+                        const PadDescriptor& descriptor,
+                        Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    bool IsPermuteSupported(const TensorInfo& input,
+                            const TensorInfo& output,
+                            const PermuteDescriptor& descriptor,
+                            Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    bool IsPooling2dSupported(const TensorInfo& input,
+                              const TensorInfo& output,
+                              const Pooling2dDescriptor& descriptor,
+                              Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    bool IsReshapeSupported(const TensorInfo& input,
+                            const ReshapeDescriptor& descriptor,
+                            Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    bool IsResizeBilinearSupported(const TensorInfo& input,
+                                   Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    bool IsRsqrtSupported(const TensorInfo& input,
+                          const TensorInfo& output,
+                          Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    bool IsSoftmaxSupported(const TensorInfo& input,
+                            const TensorInfo& output,
+                            const SoftmaxDescriptor& descriptor,
+                            Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    bool IsSpaceToBatchNdSupported(const TensorInfo& input,
+                                   const TensorInfo& output,
+                                   const SpaceToBatchNdDescriptor& descriptor,
+                                   Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    bool IsSplitterSupported(const TensorInfo& input,
+                             const ViewsDescriptor& descriptor,
+                             Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    bool IsStridedSliceSupported(const TensorInfo& input,
+                                 const TensorInfo& output,
+                                 const StridedSliceDescriptor& descriptor,
+                                 Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    bool IsSubtractionSupported(const TensorInfo& input0,
+                                const TensorInfo& input1,
+                                const TensorInfo& output,
+                                Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+};
+
+} // namespace armnn
diff --git a/src/backends/backendsCommon/WorkloadFactory.cpp b/src/backends/backendsCommon/WorkloadFactory.cpp
index 1dc96a5..209ba6a 100644
--- a/src/backends/backendsCommon/WorkloadFactory.cpp
+++ b/src/backends/backendsCommon/WorkloadFactory.cpp
@@ -190,15 +190,6 @@ bool IWorkloadFactory::IsLayerSupported(const BackendId& backendId,
                                               reason);
             break;
         }
-        case LayerType::MemCopy:
-        {
-            // MemCopy supported for CpuRef, CpuAcc and GpuAcc backends,
-            // (also treat Undefined as CpuRef to avoid breaking lots of Unit tests).
-            result = backendId == Compute::CpuRef || backendId == Compute::Undefined
-                || backendId == Compute::CpuAcc || backendId == Compute::GpuAcc;
-            reason.value() = "Unsupported backend type";
-            break;
-        }
         case LayerType::Debug:
         {
             auto cLayer = boost::polymorphic_downcast<const DebugLayer*>(&layer);
@@ -487,6 +478,16 @@ bool IWorkloadFactory::IsLayerSupported(const BackendId& backendId,
                                                             reason);
             break;
         }
+    case LayerType::MemCopy:
+    {
+        const TensorInfo& input  = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();
+        const TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();
+
+        result = layerSupportObject->IsMemCopySupported(OverrideDataType(input, dataType),
+                                                        OverrideDataType(output, dataType),
+                                                        reason);
+        break;
+    }
         case LayerType::Merger:
         {
             auto cLayer = boost::polymorphic_downcast<const MergerLayer*>(&layer);
@@ -590,8 +591,11 @@ bool IWorkloadFactory::IsLayerSupported(const BackendId& backendId,
         }
         case LayerType::Reshape:
         {
+            auto cLayer = boost::polymorphic_downcast<const ReshapeLayer*>(&layer);
             const TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();
-            result = layerSupportObject->IsReshapeSupported(OverrideDataType(input, dataType), reason);
+            result = layerSupportObject->IsReshapeSupported(OverrideDataType(input, dataType),
+                                                            cLayer->GetParameters(),
+                                                            reason);
             break;
         }
         case LayerType::ResizeBilinear:
diff --git a/src/backends/backendsCommon/common.mk b/src/backends/backendsCommon/common.mk
index 4e79bfc..a1cc0c1 100644
--- a/src/backends/backendsCommon/common.mk
+++ b/src/backends/backendsCommon/common.mk
@@ -10,7 +10,7 @@
 COMMON_SOURCES := \
     BackendRegistry.cpp \
     CpuTensorHandle.cpp \
-    ILayerSupport.cpp \
+    LayerSupportBase.cpp \
     MemCopyWorkload.cpp \
     OutputHandler.cpp \
     WorkloadData.cpp \
diff --git a/src/backends/cl/ClLayerSupport.cpp b/src/backends/cl/ClLayerSupport.cpp
index c4d45fe..c1139e2 100644
--- a/src/backends/cl/ClLayerSupport.cpp
+++ b/src/backends/cl/ClLayerSupport.cpp
@@ -385,6 +385,15 @@ bool ClLayerSupport::IsMeanSupported(const TensorInfo& input,
                                    descriptor);
 }
 
+bool ClLayerSupport::IsMemCopySupported(const TensorInfo &input,
+                                        const TensorInfo &output,
+                                        Optional<std::string &> reasonIfUnsupported) const
+{
+    ignore_unused(input);
+    ignore_unused(output);
+    return true;
+}
+
 bool ClLayerSupport::IsMergerSupported(const std::vector<const TensorInfo*> inputs,
                                        const TensorInfo& output,
                                        const OriginsDescriptor& descriptor,
@@ -479,9 +488,11 @@ bool ClLayerSupport::IsPooling2dSupported(const TensorInfo& input,
 }
 
 bool ClLayerSupport::IsReshapeSupported(const TensorInfo& input,
+                                        const ReshapeDescriptor& descriptor,
                                         Optional<std::string&> reasonIfUnsupported) const
 {
     ignore_unused(input);
+    ignore_unused(descriptor);
     ignore_unused(reasonIfUnsupported);
     return true;
 }
diff --git a/src/backends/cl/ClLayerSupport.hpp b/src/backends/cl/ClLayerSupport.hpp
index 80dd1c8..b06e6a9 100644
--- a/src/backends/cl/ClLayerSupport.hpp
+++ b/src/backends/cl/ClLayerSupport.hpp
@@ -4,12 +4,12 @@
 //
 #pragma once
 
-#include <armnn/ILayerSupport.hpp>
+#include <backendsCommon/LayerSupportBase.hpp>
 
 namespace armnn
 {
 
-class ClLayerSupport : public ILayerSupport
+class ClLayerSupport : public LayerSupportBase
 {
 public:
     bool IsActivationSupported(const TensorInfo& input,
@@ -122,6 +122,10 @@ public:
                          const MeanDescriptor& descriptor,
                          Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
 
+    bool IsMemCopySupported(const TensorInfo& input,
+                            const TensorInfo& output,
+                            Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
     bool IsMergerSupported(const std::vector<const TensorInfo*> inputs,
                            const TensorInfo& output,
                            const OriginsDescriptor& descriptor,
@@ -161,6 +165,7 @@ public:
                               Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
 
     bool IsReshapeSupported(const TensorInfo& input,
+                            const ReshapeDescriptor& descriptor,
                             Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
 
     bool IsResizeBilinearSupported(const TensorInfo& input,
diff --git a/src/backends/neon/NeonLayerSupport.cpp b/src/backends/neon/NeonLayerSupport.cpp
index cc8f973..1f205ed 100644
--- a/src/backends/neon/NeonLayerSupport.cpp
+++ b/src/backends/neon/NeonLayerSupport.cpp
@@ -271,6 +271,15 @@ bool NeonLayerSupport::IsMeanSupported(const TensorInfo& input,
                                    descriptor);
 }
 
+bool NeonLayerSupport::IsMemCopySupported(const TensorInfo &input,
+                                          const TensorInfo &output,
+                                          Optional<std::string &> reasonIfUnsupported) const
+{
+    ignore_unused(input);
+    ignore_unused(output);
+    return true;
+}
+
 bool NeonLayerSupport::IsMergerSupported(const std::vector<const TensorInfo*> inputs,
                                          const TensorInfo& output,
                                          const OriginsDescriptor& descriptor,
@@ -355,22 +364,16 @@ bool NeonLayerSupport::IsPooling2dSupported(const TensorInfo& input,
 }
 
 bool NeonLayerSupport::IsReshapeSupported(const TensorInfo& input,
+                                          const ReshapeDescriptor& descriptor,
                                           Optional<std::string&> reasonIfUnsupported) const
 {
+    ignore_unused(descriptor);
     return IsSupportedForDataTypeNeon(reasonIfUnsupported,
                                       input.GetDataType(),
                                       &TrueFunc<>,
                                       &TrueFunc<>);
 }
 
-bool NeonLayerSupport::IsResizeBilinearSupported(const TensorInfo& input,
-                                                 Optional<std::string&> reasonIfUnsupported) const
-{
-    ignore_unused(input);
-    ignore_unused(reasonIfUnsupported);
-    return false;
-}
-
 bool NeonLayerSupport::IsSoftmaxSupported(const TensorInfo& input,
                                           const TensorInfo& output,
                                           const SoftmaxDescriptor& descriptor,
diff --git a/src/backends/neon/NeonLayerSupport.hpp b/src/backends/neon/NeonLayerSupport.hpp
index 73193d3..c522c6e 100644
--- a/src/backends/neon/NeonLayerSupport.hpp
+++ b/src/backends/neon/NeonLayerSupport.hpp
@@ -4,12 +4,12 @@
 //
 #pragma once
 
-#include <armnn/ILayerSupport.hpp>
+#include <backendsCommon/LayerSupportBase.hpp>
 
 namespace armnn
 {
 
-class NeonLayerSupport : public ILayerSupport
+class NeonLayerSupport : public LayerSupportBase
 {
 public:
     bool IsActivationSupported(const TensorInfo& input,
@@ -85,6 +85,10 @@ public:
                          const MeanDescriptor& descriptor,
                          Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
 
+    bool IsMemCopySupported(const TensorInfo& input,
+                            const TensorInfo& output,
+                            Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
     bool IsMergerSupported(const std::vector<const TensorInfo*> inputs,
                            const TensorInfo& output,
                            const OriginsDescriptor& descriptor,
@@ -119,11 +123,9 @@ public:
                               Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
 
     bool IsReshapeSupported(const TensorInfo& input,
+                            const ReshapeDescriptor& descriptor,
                             Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
 
-    bool IsResizeBilinearSupported(const TensorInfo& input,
-                                   Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
-
     bool IsSoftmaxSupported(const TensorInfo& input,
                             const TensorInfo& output,
                             const SoftmaxDescriptor& descriptor,
diff --git a/src/backends/reference/RefLayerSupport.cpp b/src/backends/reference/RefLayerSupport.cpp
index 56d2e4c..61a34f9 100644
--- a/src/backends/reference/RefLayerSupport.cpp
+++ b/src/backends/reference/RefLayerSupport.cpp
@@ -390,6 +390,17 @@ bool RefLayerSupport::IsMergerSupported(const std::vector<const TensorInfo*> inp
                                      &TrueFunc<>);
 }
 
+bool RefLayerSupport::IsMemCopySupported(const TensorInfo &input,
+                                         const TensorInfo &output,
+                                         Optional<std::string &> reasonIfUnsupported) const
+{
+    ignore_unused(output);
+    return IsSupportedForDataTypeRef(reasonIfUnsupported,
+                                     input.GetDataType(),
+                                     &TrueFunc<>,
+                                     &TrueFunc<>);
+}
+
 bool RefLayerSupport::IsMinimumSupported(const TensorInfo& input0,
                                          const TensorInfo& input1,
                                          const TensorInfo& output,
@@ -478,8 +489,10 @@ bool RefLayerSupport::IsPooling2dSupported(const TensorInfo& input,
 }
 
 bool RefLayerSupport::IsReshapeSupported(const TensorInfo& input,
+                                         const ReshapeDescriptor& descriptor,
                                          Optional<std::string&> reasonIfUnsupported) const
 {
+    ignore_unused(descriptor);
     return IsSupportedForDataTypeRef(reasonIfUnsupported,
                                      input.GetDataType(),
                                      &TrueFunc<>,
diff --git a/src/backends/reference/RefLayerSupport.hpp b/src/backends/reference/RefLayerSupport.hpp
index 188faa8..5778806 100644
--- a/src/backends/reference/RefLayerSupport.hpp
+++ b/src/backends/reference/RefLayerSupport.hpp
@@ -4,12 +4,12 @@
 //
 #pragma once
 
-#include <armnn/ILayerSupport.hpp>
+#include <backendsCommon/LayerSupportBase.hpp>
 
 namespace armnn
 {
 
-class RefLayerSupport : public ILayerSupport
+class RefLayerSupport : public LayerSupportBase
 {
 public:
     bool IsActivationSupported(const TensorInfo& input,
@@ -93,7 +93,7 @@ public:
 
     bool IsGreaterSupported(const TensorInfo& input0,
                             const TensorInfo& input1,
-                            const TensorInfo& ouput,
+                            const TensorInfo& output,
                             Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
 
     bool IsInputSupported(const TensorInfo& input,
@@ -146,6 +146,10 @@ public:
                            const OriginsDescriptor& descriptor,
                            Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
 
+    bool IsMemCopySupported(const TensorInfo& input,
+                            const TensorInfo& output,
+                            Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
     bool IsMinimumSupported(const TensorInfo& input0,
                             const TensorInfo& input1,
                             const TensorInfo& output,
@@ -180,6 +184,7 @@ public:
                               Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
 
     bool IsReshapeSupported(const TensorInfo& input,
+                            const ReshapeDescriptor& descriptor,
                             Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
 
     bool IsResizeBilinearSupported(const TensorInfo& input,
-- 
2.7.4