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

1 files changed, 223 insertions, 0 deletions

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