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, 355 insertions, 0 deletions

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