IVGCVSW-5985 Remove deprecated code

 * Removes deprecated AddLayer, IsLayerSupported functions
 * Marks the whole LayerVisitor class as deprecated not just the
   constructor. This required to wrap all Accept functions in a
   no deprecate macro because the LayerVisitor is used as a parameter in
   there
 * Removes usage of deprecated LayerVisitor and replaces it
   with ExecuteStrategy. This required a few structural changes
   in the unit tests
 * Adds a default implementation for IStrategy called StrategyBase
 * Changes pyarmnn to use non deprecated constructor for
   INetworkProperties and adds related unit test
 * Marks usage of deprecated code in pyarmnn as deprecated. This
   required to extend INetworkProperties to allow backwards compatibility
 * Removes deprecated functions from CpuAcc, GpuAcc and Ref backends

Note: This patch breaks compatibility with backends that are not
      updated in this patch

!android-nn-driver:6325

Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: Id13b6f37a74d26eadeda2da1dc92915e725ed5a5

1 files changed, 0 insertions, 59 deletions

diff --git a/src/backends/neon/NeonLayerSupport.cpp b/src/backends/neon/NeonLayerSupport.cpp
index ec64f902da..d742229bbe 100644
--- a/src/backends/neon/NeonLayerSupport.cpp
+++ b/src/backends/neon/NeonLayerSupport.cpp
@@ -145,14 +145,6 @@ NeonLayerSupport::NeonLayerSupport()
 {
 }
 
-bool NeonLayerSupport::IsAbsSupported(const TensorInfo& input,
-                                      const TensorInfo& output,
-                                      Optional<std::string&> reasonIfUnsupported) const
-{
-    ElementwiseUnaryDescriptor descriptor(UnaryOperation::Abs);
-    return IsElementwiseUnarySupported(input, output, descriptor, reasonIfUnsupported);
-}
-
 bool NeonLayerSupport::IsActivationSupported(const TensorInfo& input,
                                              const TensorInfo& output,
                                              const ActivationDescriptor& descriptor,
@@ -537,15 +529,6 @@ bool NeonLayerSupport::IsGatherSupported(const TensorInfo& input0,
                                    descriptor);
 }
 
-bool NeonLayerSupport::IsGreaterSupported(const armnn::TensorInfo& input0,
-                                          const armnn::TensorInfo& input1,
-                                          const armnn::TensorInfo& output,
-                                          armnn::Optional<std::string&> reasonIfUnsupported) const
-{
-    ComparisonDescriptor descriptor(ComparisonOperation::Greater);
-    return IsComparisonSupported(input0, input1, output, descriptor, reasonIfUnsupported);
-}
-
 bool NeonLayerSupport::IsInputSupported(const TensorInfo& input,
                                         Optional<std::string&> reasonIfUnsupported) const
 {
@@ -653,14 +636,6 @@ bool NeonLayerSupport::IsMeanSupported(const TensorInfo& input,
                                    descriptor);
 }
 
-bool NeonLayerSupport::IsMergerSupported(const std::vector<const TensorInfo*> inputs,
-                                         const TensorInfo& output,
-                                         const MergerDescriptor& descriptor,
-                                         Optional<std::string&> reasonIfUnsupported) const
-{
-     return IsConcatSupported(inputs, output, descriptor, reasonIfUnsupported);
-}
-
 bool NeonLayerSupport::IsMinimumSupported(const TensorInfo& input0,
                                           const TensorInfo& input1,
                                           const TensorInfo& output,
@@ -852,29 +827,6 @@ bool NeonLayerSupport::IsResizeSupported(const TensorInfo& input,
                                    descriptor);
 }
 
-bool NeonLayerSupport::IsResizeBilinearSupported(const TensorInfo& input,
-                                                 const TensorInfo& output,
-                                                 Optional<std::string&> reasonIfUnsupported) const
-{
-    ResizeDescriptor descriptor;
-    descriptor.m_Method     = ResizeMethod::Bilinear;
-    descriptor.m_DataLayout = DataLayout::NCHW;
-
-    const TensorShape& outputShape = output.GetShape();
-    descriptor.m_TargetHeight = outputShape[2];
-    descriptor.m_TargetWidth  = outputShape[3];
-
-    return IsResizeSupported(input, output, descriptor, reasonIfUnsupported);
-}
-
-bool NeonLayerSupport::IsRsqrtSupported(const TensorInfo& input,
-                                        const TensorInfo& output,
-                                        Optional<std::string&> reasonIfUnsupported) const
-{
-    ElementwiseUnaryDescriptor descriptor(UnaryOperation::Rsqrt);
-    return IsElementwiseUnarySupported(input, output, descriptor, reasonIfUnsupported);
-}
-
 bool NeonLayerSupport::IsSliceSupported(const TensorInfo& input,
                                         const TensorInfo& output,
                                         const SliceDescriptor& descriptor,
@@ -920,17 +872,6 @@ bool NeonLayerSupport::IsSpaceToDepthSupported(const TensorInfo& input,
 }
 
 bool NeonLayerSupport::IsSplitterSupported(const TensorInfo& input,
-                                           const ViewsDescriptor& descriptor,
-                                           Optional<std::string&> reasonIfUnsupported) const
-{
-    armnn::IgnoreUnused(descriptor);
-    return IsSupportedForDataTypeNeon(reasonIfUnsupported,
-                                      input.GetDataType(),
-                                      &TrueFunc<>,
-                                      &TrueFunc<>);
-}
-
-bool NeonLayerSupport::IsSplitterSupported(const TensorInfo& input,
                                            const std::vector<std::reference_wrapper<TensorInfo>>& outputs,
                                            const ViewsDescriptor& descriptor,
                                            Optional<std::string&> reasonIfUnsupported) const