IVGCVSW-4259 Add frontend and reference workload for UnaryOperationLayer

* Added new layer named ElementwiseUnary
* Deprecated existing Abs/Rsqrt layer functions
* Updated existing Abs/Rsqrt test infrastructure to use new layer
* Added boilerplate for new Exp,Neg,Sqrt elemwise op layers
* AbsQuantize test removed pending future commit
* Serialization support added

!android-nn-driver:2550

Change-Id: Ic595c645925e17b45db568187fd05646daf2e87f
Signed-off-by: josh minor <josh.minor@arm.com>

2 files changed, 10 insertions, 32 deletions

diff --git a/src/backends/neon/test/NeonCreateWorkloadTests.cpp b/src/backends/neon/test/NeonCreateWorkloadTests.cpp
index a08c8f7d2a..400a5a38e2 100644
--- a/src/backends/neon/test/NeonCreateWorkloadTests.cpp
+++ b/src/backends/neon/test/NeonCreateWorkloadTests.cpp
@@ -181,36 +181,6 @@ BOOST_AUTO_TEST_CASE(CreateMultiplicationUint8Workload)
                                       DataType::QAsymmU8>();
 }
 
-template <typename WorkloadType,
-          typename DescriptorType,
-          typename LayerType,
-          armnn::DataType DataType>
-static void NeonCreateElementwiseUnaryWorkloadTest()
-{
-    Graph graph;
-    NeonWorkloadFactory factory =
-        NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager());
-
-    auto workload = CreateElementwiseUnaryWorkloadTest
-        <WorkloadType, DescriptorType, LayerType, DataType>(factory, graph);
-
-    DescriptorType queueDescriptor = workload->GetData();
-
-    auto inputHandle  = boost::polymorphic_downcast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]);
-    auto outputHandle = boost::polymorphic_downcast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]);
-
-    BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({2, 3}, DataType)));
-    BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({2, 3}, DataType)));
-}
-
-BOOST_AUTO_TEST_CASE(CreateRsqrtFloat32Workload)
-{
-    NeonCreateElementwiseUnaryWorkloadTest<NeonRsqrtWorkload,
-                                           RsqrtQueueDescriptor,
-                                           RsqrtLayer,
-                                           DataType::Float32>();
-}
-
 template <typename BatchNormalizationWorkloadType, typename armnn::DataType DataType>
 static void NeonCreateBatchNormalizationWorkloadTest(DataLayout dataLayout)
 {
diff --git a/src/backends/neon/test/NeonEndToEndTests.cpp b/src/backends/neon/test/NeonEndToEndTests.cpp
index e1c929b17b..4e9fe0f3c3 100644
--- a/src/backends/neon/test/NeonEndToEndTests.cpp
+++ b/src/backends/neon/test/NeonEndToEndTests.cpp
@@ -5,13 +5,13 @@
 
 #include <backendsCommon/test/EndToEndTestImpl.hpp>
 
-#include <backendsCommon/test/AbsEndToEndTestImpl.hpp>
 #include <backendsCommon/test/ArgMinMaxEndToEndTestImpl.hpp>
 #include <backendsCommon/test/ComparisonEndToEndTestImpl.hpp>
 #include <backendsCommon/test/ConcatEndToEndTestImpl.hpp>
 #include <backendsCommon/test/DepthToSpaceEndToEndTestImpl.hpp>
 #include <backendsCommon/test/DequantizeEndToEndTestImpl.hpp>
 #include <backendsCommon/test/DetectionPostProcessEndToEndTestImpl.hpp>
+#include <backendsCommon/test/ElementwiseUnaryEndToEndTestImpl.hpp>
 #include <backendsCommon/test/InstanceNormalizationEndToEndTestImpl.hpp>
 #include <backendsCommon/test/PreluEndToEndTestImpl.hpp>
 #include <backendsCommon/test/QuantizedLstmEndToEndTestImpl.hpp>
@@ -28,7 +28,15 @@ std::vector<armnn::BackendId> defaultBackends = {armnn::Compute::CpuAcc};
 // Abs
 BOOST_AUTO_TEST_CASE(NeonAbsEndToEndTestFloat32)
 {
-    AbsEndToEnd<armnn::DataType::Float32>(defaultBackends);
+    std::vector<float> expectedOutput =
+    {
+        1.f, 1.f, 1.f, 1.f, 5.f, 5.f, 5.f, 5.f,
+        3.f, 3.f, 3.f, 3.f, 4.f, 4.f, 4.f, 4.f
+    };
+
+    ElementwiseUnarySimpleEndToEnd<armnn::DataType::Float32>(defaultBackends,
+                                                             UnaryOperation::Abs,
+                                                             expectedOutput);
 }
 
 // Constant