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

6 files changed, 595 insertions, 358 deletions

diff --git a/src/backends/backendsCommon/CMakeLists.txt b/src/backends/backendsCommon/CMakeLists.txt
index b120f51184..1aa4d99dc3 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 aa1bb5042d..0000000000
--- 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 0000000000..2987e5dd2a
--- /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 0000000000..8c7aa98043
--- /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 1dc96a5ec3..209ba6a4ed 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 4e79bfcd7e..a1cc0c1b3a 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 \