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, 11 insertions, 8 deletions

diff --git a/src/backends/neon/NeonLayerSupport.cpp b/src/backends/neon/NeonLayerSupport.cpp
index cc8f973510..1f205ed6d6 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,