IVGCVSW-3808 Deprecation notices for old ElementwiseBinary layers

 * Added Deprecation notices for old ElementwiseBinary layers.

Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: Iebbbaff38cc9c347b25eb2f9054c914a4f931c68

6 files changed, 88 insertions, 47 deletions

diff --git a/src/armnn/test/OptimizerTests.cpp b/src/armnn/test/OptimizerTests.cpp
index f83900404b..ff42ab8cbb 100644
--- a/src/armnn/test/OptimizerTests.cpp
+++ b/src/armnn/test/OptimizerTests.cpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017,2022 Arm Ltd and Contributors. All rights reserved.
+// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
@@ -339,7 +339,9 @@ TEST_CASE("InsertConvertersTest")
 
     armnn::Layer* head = graph.AddLayer<armnn::OutputLayer>(0, "output");
 
+    ARMNN_NO_DEPRECATE_WARN_BEGIN
     head = graph.InsertNewLayer<armnn::AdditionLayer>(head->GetInputSlot(0), "");
+    ARMNN_NO_DEPRECATE_WARN_END
     head->GetOutputHandler().SetTensorInfo(info);
 
     graph.InsertNewLayer<armnn::InputLayer>(head->GetInputSlot(1), inputId++, "")
@@ -355,14 +357,16 @@ TEST_CASE("InsertConvertersTest")
         ->GetOutputHandler().SetTensorInfo(info);
 
     // Check graph layer sequence before inserting convert layers
+    ARMNN_NO_DEPRECATE_WARN_BEGIN
     CHECK(CheckSequence(graph.cbegin(),
-                             graph.cend(),
-                             &IsLayerOfType<armnn::InputLayer>,
-                             &IsLayerOfType<armnn::InputLayer>,
-                             &IsLayerOfType<armnn::MemCopyLayer>,
-                             &IsLayerOfType<armnn::FloorLayer>,
-                             &IsLayerOfType<armnn::AdditionLayer>,
-                             &IsLayerOfType<armnn::OutputLayer>));
+                        graph.cend(),
+                        &IsLayerOfType<armnn::InputLayer>,
+                        &IsLayerOfType<armnn::InputLayer>,
+                        &IsLayerOfType<armnn::MemCopyLayer>,
+                        &IsLayerOfType<armnn::FloorLayer>,
+                        &IsLayerOfType<armnn::AdditionLayer>,
+                        &IsLayerOfType<armnn::OutputLayer>));
+    ARMNN_NO_DEPRECATE_WARN_END
 
     // Check layers have Float16 DataType
     for (auto& layer : graph)
@@ -405,19 +409,21 @@ TEST_CASE("InsertConvertersTest")
     }
 
     // Check sequence of layers after inserting convert layers
+    ARMNN_NO_DEPRECATE_WARN_BEGIN
     CHECK(CheckSequence(graph.cbegin(),
-                             graph.cend(),
-                             &IsLayerOfType<armnn::InputLayer>,
-                             &IsLayerOfType<armnn::InputLayer>,
-                             &IsLayerOfType<armnn::ConvertFp16ToFp32Layer>,
-                             &IsLayerOfType<armnn::MemCopyLayer>,
-                             &IsLayerOfType<armnn::ConvertFp16ToFp32Layer>,
-                             &IsLayerOfType<armnn::FloorLayer>,
-                             &IsLayerOfType<armnn::ConvertFp32ToFp16Layer>,
-                             &IsLayerOfType<armnn::ConvertFp16ToFp32Layer>,
-                             &IsLayerOfType<armnn::AdditionLayer>,
-                             &IsLayerOfType<armnn::ConvertFp32ToFp16Layer>,
-                             &IsLayerOfType<armnn::OutputLayer>));
+                        graph.cend(),
+                        &IsLayerOfType<armnn::InputLayer>,
+                        &IsLayerOfType<armnn::InputLayer>,
+                        &IsLayerOfType<armnn::ConvertFp16ToFp32Layer>,
+                        &IsLayerOfType<armnn::MemCopyLayer>,
+                        &IsLayerOfType<armnn::ConvertFp16ToFp32Layer>,
+                        &IsLayerOfType<armnn::FloorLayer>,
+                        &IsLayerOfType<armnn::ConvertFp32ToFp16Layer>,
+                        &IsLayerOfType<armnn::ConvertFp16ToFp32Layer>,
+                        &IsLayerOfType<armnn::AdditionLayer>,
+                        &IsLayerOfType<armnn::ConvertFp32ToFp16Layer>,
+                        &IsLayerOfType<armnn::OutputLayer>));
+    ARMNN_NO_DEPRECATE_WARN_END
 }
 
 void CreateConvolution2dGraph(Graph &graph, const unsigned int* inputShape,
diff --git a/src/armnn/test/RuntimeTests.cpp b/src/armnn/test/RuntimeTests.cpp
index e0d3a222fe..6b3fe0f211 100644
--- a/src/armnn/test/RuntimeTests.cpp
+++ b/src/armnn/test/RuntimeTests.cpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
+// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
@@ -10,7 +10,6 @@
 #include <armnn/Descriptors.hpp>
 #include <armnn/IRuntime.hpp>
 #include <armnn/INetwork.hpp>
-#include <armnn/TypesUtils.hpp>
 
 #include <armnn/profiling/ArmNNProfiling.hpp>
 
@@ -19,9 +18,6 @@
 
 #include <test/ProfilingTestUtils.hpp>
 
-#include <HeapProfiling.hpp>
-#include <LeakChecking.hpp>
-
 #ifdef WITH_VALGRIND
 #include <valgrind/memcheck.h>
 #endif
@@ -76,7 +72,9 @@ TEST_CASE("RuntimePreImportInputs")
 
     auto inputLayer1 = testNetwork->AddInputLayer(0, "input 1 layer");
     auto inputLayer2 = testNetwork->AddInputLayer(1, "input 2 layer");
+    ARMNN_NO_DEPRECATE_WARN_BEGIN
     auto addLayer = testNetwork->AddAdditionLayer("add layer");
+    ARMNN_NO_DEPRECATE_WARN_END
     auto outputLayer = testNetwork->AddOutputLayer(2, "output layer");
 
     TensorInfo tensorInfo{{4}, armnn::DataType::Signed32};
@@ -1306,7 +1304,9 @@ TEST_CASE("RuntimeOptimizeImportOff_LoadNetworkImportOn")
 
     auto inputLayer1 = testNetwork->AddInputLayer(0, "input 1 layer");
     auto inputLayer2 = testNetwork->AddInputLayer(1, "input 2 layer");
+    ARMNN_NO_DEPRECATE_WARN_BEGIN
     auto addLayer = testNetwork->AddAdditionLayer("add layer");
+    ARMNN_NO_DEPRECATE_WARN_END
     auto outputLayer = testNetwork->AddOutputLayer(2, "output layer");
 
     TensorInfo tensorInfo{{4}, armnn::DataType::Signed32};
@@ -1349,7 +1349,9 @@ TEST_CASE("RuntimeOptimizeExportOff_LoadNetworkExportOn")
 
     auto inputLayer1 = testNetwork->AddInputLayer(0, "input 1 layer");
     auto inputLayer2 = testNetwork->AddInputLayer(1, "input 2 layer");
+    ARMNN_NO_DEPRECATE_WARN_BEGIN
     auto addLayer = testNetwork->AddAdditionLayer("add layer");
+    ARMNN_NO_DEPRECATE_WARN_END
     auto outputLayer = testNetwork->AddOutputLayer(2, "output layer");
 
     TensorInfo tensorInfo{{4}, armnn::DataType::Signed32};
@@ -1392,7 +1394,9 @@ TEST_CASE("RuntimeOptimizeImportOn_LoadNetworkImportOff")
 
     auto inputLayer1 = testNetwork->AddInputLayer(0, "input 1 layer");
     auto inputLayer2 = testNetwork->AddInputLayer(1, "input 2 layer");
+    ARMNN_NO_DEPRECATE_WARN_BEGIN
     auto addLayer = testNetwork->AddAdditionLayer("add layer");
+    ARMNN_NO_DEPRECATE_WARN_END
     auto outputLayer = testNetwork->AddOutputLayer(2, "output layer");
 
     TensorInfo tensorInfo{{4}, armnn::DataType::Signed32};
@@ -1435,7 +1439,9 @@ TEST_CASE("RuntimeOptimizeExportOn_LoadNetworkExportOff")
 
     auto inputLayer1 = testNetwork->AddInputLayer(0, "input 1 layer");
     auto inputLayer2 = testNetwork->AddInputLayer(1, "input 2 layer");
+    ARMNN_NO_DEPRECATE_WARN_BEGIN
     auto addLayer = testNetwork->AddAdditionLayer("add layer");
+    ARMNN_NO_DEPRECATE_WARN_END
     auto outputLayer = testNetwork->AddOutputLayer(2, "output layer");
 
     TensorInfo tensorInfo{{4}, armnn::DataType::Signed32};
@@ -1483,7 +1489,9 @@ TEST_CASE("SyncExecutePreImportInputsHappyPath")
 
     auto inputLayer1 = testNetwork->AddInputLayer(0, "input 1 layer");
     auto inputLayer2 = testNetwork->AddInputLayer(1, "input 2 layer");
+    ARMNN_NO_DEPRECATE_WARN_BEGIN
     auto addLayer    = testNetwork->AddAdditionLayer("add layer");
+    ARMNN_NO_DEPRECATE_WARN_END
     auto outputLayer = testNetwork->AddOutputLayer(2, "output layer");
 
     TensorInfo tensorInfo{ { 4 }, armnn::DataType::Signed32 };
diff --git a/src/armnn/test/ShapeInferenceTests.cpp b/src/armnn/test/ShapeInferenceTests.cpp
index 7b5d73a4e5..c33b248dc1 100644
--- a/src/armnn/test/ShapeInferenceTests.cpp
+++ b/src/armnn/test/ShapeInferenceTests.cpp
@@ -181,7 +181,9 @@ TEST_CASE("AbsTest")
 
 TEST_CASE("AdditionTest")
 {
+    ARMNN_NO_DEPRECATE_WARN_BEGIN
     CreateGraphAndRunTest<AdditionLayer>({{ 5, 7, 6, 2 }, { 5, 7, 6, 2 }}, {{ 5, 7, 6, 2 }}, "add");
+    ARMNN_NO_DEPRECATE_WARN_END
 }
 
 TEST_CASE("ArgMinMaxTest")
diff --git a/src/armnn/test/SubgraphViewTests.cpp b/src/armnn/test/SubgraphViewTests.cpp
index e0fd5fe7c1..4fcb476fcf 100644
--- a/src/armnn/test/SubgraphViewTests.cpp
+++ b/src/armnn/test/SubgraphViewTests.cpp
@@ -1054,7 +1054,7 @@ TEST_CASE("MultiInputSingleOutput")
     auto layerX2 = graph.AddLayer<InputLayer>(1, "layerX2");
     auto layerM1 = graph.AddLayer<ActivationLayer>(activationDefaults, "layerM1");
     auto layerM2 = graph.AddLayer<ActivationLayer>(activationDefaults, "layerM2");
-    auto layerM3 = graph.AddLayer<AdditionLayer>("layerM3");
+    auto layerM3 = graph.AddLayer<ElementwiseBinaryLayer>(BinaryOperation::Add, "layerM3");
     auto layerX3 = graph.AddLayer<OutputLayer>(0, "layerX3");
 
     //  X1  X2
@@ -1081,7 +1081,7 @@ TEST_CASE("MultiInputSingleOutput")
                     [](const Layer & l)
                     {
                         bool toSelect = (l.GetType() == LayerType::Activation
-                                         || l.GetType() == LayerType::Addition);
+                                         || l.GetType() == LayerType::ElementwiseBinary);
                         return toSelect;
                     });
 
@@ -1772,7 +1772,7 @@ TEST_CASE("SubgraphCycles")
     auto m0 = graph.AddLayer<ActivationLayer>(ActivationDescriptor{}, "m0");
     auto x1 = graph.AddLayer<ActivationLayer>(ActivationDescriptor{}, "x1");
     auto m1 = graph.AddLayer<ActivationLayer>(ActivationDescriptor{}, "m1");
-    auto m2 = graph.AddLayer<AdditionLayer>("m2");
+    auto m2 = graph.AddLayer<ElementwiseBinaryLayer>(BinaryOperation::Add, "m2");
     auto x2 = graph.AddLayer<ActivationLayer>(ActivationDescriptor{}, "x2");
 
     x0->GetOutputSlot(0).Connect(m0->GetInputSlot(0));
@@ -1872,7 +1872,7 @@ TEST_CASE("SubgraphViewWorkingCopy")
 bool ReplaceConstantMultiplicationWithDepthwise(SubgraphView& subgraph,
                                                 IConnectableLayer* layer)
 {
-    if (layer->GetType() == LayerType::Multiplication)
+    if (layer->GetType() == LayerType::ElementwiseBinary)
     {
         IInputSlot* patternSubgraphInput = &layer->GetInputSlot(0);
         IInputSlot* patternSubgraphConstant = &layer->GetInputSlot(1);
@@ -1937,12 +1937,12 @@ bool ReplaceConstantMultiplicationWithDepthwise(SubgraphView& subgraph,
 bool ReplaceTestMultiplication(SubgraphView& subgraph,
                            IConnectableLayer* layer)
 {
-    if (layer->GetType() == LayerType::Multiplication)
+    if (layer->GetType() == LayerType::ElementwiseBinary)
     {
 
         switch (layer->GetType())
         {
-            case LayerType::Multiplication:
+            case LayerType::ElementwiseBinary:
                 return ReplaceConstantMultiplicationWithDepthwise(subgraph, layer);
                 break;
             default:
@@ -1993,7 +1993,7 @@ TEST_CASE("SubgraphViewWorkingCopyReplacementFunc")
     auto constant = graph.AddLayer<ConstantLayer>("const");
 
     constant->m_LayerOutput = std::make_shared<ScopedTensorHandle>(constTensor);
-    IConnectableLayer* mul      = graph.AddLayer<MultiplicationLayer>("mul");
+    IConnectableLayer* mul      = graph.AddLayer<ElementwiseBinaryLayer>(BinaryOperation::Mul,  "mul");
     IConnectableLayer* output   = graph.AddLayer<OutputLayer>(0, "output");
 
     // Create connections between layers
@@ -2015,7 +2015,10 @@ TEST_CASE("SubgraphViewWorkingCopyReplacementFunc")
     // Check the WorkingCopy is as expected before replacement
     CHECK(workingCopy.GetIConnectableLayers().size() == 4);
     int idx=0;
-    LayerType expectedSorted[] = {LayerType::Input, LayerType::Constant, LayerType::Multiplication, LayerType::Output};
+    LayerType expectedSorted[] = {LayerType::Input,
+                                  LayerType::Constant,
+                                  LayerType::ElementwiseBinary,
+                                  LayerType::Output};
     workingCopy.ForEachIConnectableLayer([&idx, &expectedSorted](const IConnectableLayer* l)
                                          {
                                              CHECK((expectedSorted[idx] == l->GetType()));
@@ -2209,7 +2212,7 @@ TEST_CASE("SubgraphViewWorkingCopyOptimizationViews")
     auto constant = graph.AddLayer<ConstantLayer>("const");
 
     constant->m_LayerOutput = std::make_shared<ScopedTensorHandle>(constTensor);
-    IConnectableLayer* mul      = graph.AddLayer<MultiplicationLayer>("mul");
+    IConnectableLayer* mul      = graph.AddLayer<ElementwiseBinaryLayer>(BinaryOperation::Mul,  "mul");
     IConnectableLayer* output   = graph.AddLayer<OutputLayer>(0, "output");
 
     // Create connections between layers
@@ -2230,7 +2233,10 @@ TEST_CASE("SubgraphViewWorkingCopyOptimizationViews")
 
     // Check the WorkingCopy is as expected before replacement
     int idx=0;
-    LayerType expectedSorted[] = {LayerType::Input, LayerType::Constant, LayerType::Multiplication, LayerType::Output};
+    LayerType expectedSorted[] = {LayerType::Input,
+                                  LayerType::Constant,
+                                  LayerType::ElementwiseBinary,
+                                  LayerType::Output};
     workingCopy.ForEachIConnectableLayer([&idx, &expectedSorted](const IConnectableLayer* l)
                                          {
                                              CHECK((expectedSorted[idx] == l->GetType()));
@@ -2285,7 +2291,7 @@ TEST_CASE("SubgraphViewWorkingCopyReplaceSlots")
     auto constant = graph.AddLayer<ConstantLayer>("const");
 
     constant->m_LayerOutput = std::make_shared<ScopedTensorHandle>(constTensor);
-    IConnectableLayer* mul      = graph.AddLayer<MultiplicationLayer>("mul");
+    IConnectableLayer* mul      = graph.AddLayer<ElementwiseBinaryLayer>(BinaryOperation::Mul,  "mul");
     IConnectableLayer* output   = graph.AddLayer<OutputLayer>(0, "output");
 
     // Create connections between layers
@@ -2306,7 +2312,10 @@ TEST_CASE("SubgraphViewWorkingCopyReplaceSlots")
     // Check the WorkingCopy is as expected before replacement
     CHECK(workingCopy.GetIConnectableLayers().size() == 4);
     int idx=0;
-    LayerType expectedSorted[] = {LayerType::Input, LayerType::Constant, LayerType::Multiplication, LayerType::Output};
+    LayerType expectedSorted[] = {LayerType::Input,
+                                  LayerType::Constant,
+                                  LayerType::ElementwiseBinary,
+                                  LayerType::Output};
     workingCopy.ForEachIConnectableLayer([&idx, &expectedSorted](const IConnectableLayer* l)
                                          {
                                              CHECK((expectedSorted[idx] == l->GetType()));
@@ -2346,7 +2355,7 @@ TEST_CASE("SubgraphViewWorkingCopyCloneInputAndOutputSlots")
     auto constant = graph.AddLayer<ConstantLayer>("const");
 
     constant->m_LayerOutput     = std::make_shared<ScopedTensorHandle>(constTensor);
-    IConnectableLayer* mul      = graph.AddLayer<MultiplicationLayer>("mul");
+    IConnectableLayer* mul      = graph.AddLayer<ElementwiseBinaryLayer>(BinaryOperation::Mul,  "mul");
     armnn::ViewsDescriptor splitterDesc(2,4);
     IConnectableLayer* split    = graph.AddLayer<SplitterLayer>(splitterDesc, "split");
     IConnectableLayer* abs      = graph.AddLayer<ActivationLayer>(ActivationFunction::Abs, "abs");
@@ -2411,7 +2420,7 @@ TEST_CASE("SubgraphViewWorkingCopyCloneInputAndOutputSlots")
     CHECK(workingCopy.GetIConnectableLayers().size() == 4);
     int idx=0;
     LayerType expectedSorted[] = {LayerType::Constant,
-                                  LayerType::Multiplication,
+                                  LayerType::ElementwiseBinary,
                                   LayerType::Splitter,
                                   LayerType::Activation};
     workingCopy.ForEachIConnectableLayer([&idx, &expectedSorted](const IConnectableLayer* l)
@@ -2532,7 +2541,7 @@ TEST_CASE("MultipleInputMultipleOutputSlots_SubstituteGraph")
     Layer* convLayer = graph.AddLayer<Convolution2dLayer>(Convolution2dDescriptor(), "conv");
     Layer* reluLayer = graph.AddLayer<ActivationLayer>(ActivationDescriptor(), "activation");
     Layer* constLayer = graph.AddLayer<ConstantLayer>("const");
-    Layer* addLayer = graph.AddLayer<AdditionLayer>("add");
+    Layer* addLayer = graph.AddLayer<ElementwiseBinaryLayer>(BinaryOperation::Add, "add");
 
     Layer* outputLayer1 = graph.AddLayer<OutputLayer>(0, "output1");
     Layer* outputLayer2 = graph.AddLayer<OutputLayer>(1, "output2");
@@ -2583,7 +2592,7 @@ TEST_CASE("MultipleInputMultipleOutputSlots_SubstituteGraph")
 
         // GetWorkingCopy() has caused address pointer of convolution layer to change.
         // Finding new address pointer...
-        if (layer->GetType() == LayerType::Addition)
+        if (layer->GetType() == LayerType::ElementwiseBinary)
         {
             addCopyLayer = layer;
         }
@@ -2634,7 +2643,7 @@ TEST_CASE("MultipleInputMultipleOutputSlots_SubstituteGraphNewSlots")
     Layer* convLayer = graph.AddLayer<Convolution2dLayer>(Convolution2dDescriptor(), "conv");
     Layer* reluLayer = graph.AddLayer<ActivationLayer>(ActivationDescriptor(), "activation");
     Layer* constLayer = graph.AddLayer<ConstantLayer>("const");
-    Layer* addLayer = graph.AddLayer<AdditionLayer>("add");
+    Layer* addLayer = graph.AddLayer<ElementwiseBinaryLayer>(BinaryOperation::Add, "add");
 
     Layer* outputLayer1 = graph.AddLayer<OutputLayer>(0, "output1");
     Layer* outputLayer2 = graph.AddLayer<OutputLayer>(1, "output2");
@@ -2660,7 +2669,7 @@ TEST_CASE("MultipleInputMultipleOutputSlots_SubstituteGraphNewSlots")
     {
         // GetWorkingCopy() has caused address pointer of convolution layer to change.
         // Finding new address pointer...
-        if (layer->GetType() == LayerType::Addition)
+        if (layer->GetType() == LayerType::ElementwiseBinary)
         {
             addCopyLayer = layer;
         }
diff --git a/src/armnn/test/TestNameOnlyLayerVisitor.cpp b/src/armnn/test/TestNameOnlyLayerVisitor.cpp
index 497c36b079..eb488a5bcb 100644
--- a/src/armnn/test/TestNameOnlyLayerVisitor.cpp
+++ b/src/armnn/test/TestNameOnlyLayerVisitor.cpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
+// Copyright © 2017,2019-2021,2023 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
@@ -34,31 +34,40 @@ TEST_CASE(#testName) \
 
 TEST_SUITE("TestNameOnlyLayerVisitor")
 {
+ARMNN_NO_DEPRECATE_WARN_BEGIN
 TEST_CASE_CHECK_LAYER_VISITOR_NAME(Addition, CheckAdditionLayerVisitorName)
 TEST_CASE_CHECK_LAYER_VISITOR_NAME_NULLPTR(Addition, CheckAdditionLayerVisitorNameNullptr)
+ARMNN_NO_DEPRECATE_WARN_END
 TEST_CASE_CHECK_LAYER_VISITOR_NAME(Dequantize, CheckDequantizeLayerVisitorName)
 TEST_CASE_CHECK_LAYER_VISITOR_NAME_NULLPTR(Dequantize, CheckDequantizeLayerVisitorNameNullptr)
+ARMNN_NO_DEPRECATE_WARN_BEGIN
 TEST_CASE_CHECK_LAYER_VISITOR_NAME(Division, CheckDivisionLayerVisitorName)
 TEST_CASE_CHECK_LAYER_VISITOR_NAME_NULLPTR(Division, CheckDivisionLayerVisitorNameNullptr)
+ARMNN_NO_DEPRECATE_WARN_END
 TEST_CASE_CHECK_LAYER_VISITOR_NAME(Floor, CheckFloorLayerVisitorName)
 TEST_CASE_CHECK_LAYER_VISITOR_NAME_NULLPTR(Floor, CheckFloorLayerVisitorNameNullptr)
+ARMNN_NO_DEPRECATE_WARN_BEGIN
 TEST_CASE_CHECK_LAYER_VISITOR_NAME(Maximum, CheckMaximumLayerVisitorName)
 TEST_CASE_CHECK_LAYER_VISITOR_NAME_NULLPTR(Maximum, CheckMaximumLayerVisitorNameNullptr)
+ARMNN_NO_DEPRECATE_WARN_END
 TEST_CASE_CHECK_LAYER_VISITOR_NAME(Merge, CheckMergeLayerVisitorName)
 TEST_CASE_CHECK_LAYER_VISITOR_NAME_NULLPTR(Merge, CheckMergeLayerVisitorNameNullptr)
+ARMNN_NO_DEPRECATE_WARN_BEGIN
 TEST_CASE_CHECK_LAYER_VISITOR_NAME(Minimum, CheckMinimumLayerVisitorName)
 TEST_CASE_CHECK_LAYER_VISITOR_NAME_NULLPTR(Minimum, CheckMinimumLayerVisitorNameNullptr)
 TEST_CASE_CHECK_LAYER_VISITOR_NAME(Multiplication, CheckMultiplicationLayerVisitorName)
 TEST_CASE_CHECK_LAYER_VISITOR_NAME_NULLPTR(Multiplication, CheckMultiplicationLayerVisitorNameNullptr)
+ARMNN_NO_DEPRECATE_WARN_END
 TEST_CASE_CHECK_LAYER_VISITOR_NAME(Prelu, CheckPreluLayerVisitorName)
 TEST_CASE_CHECK_LAYER_VISITOR_NAME_NULLPTR(Prelu, CheckPreluLayerVisitorNameNullptr)
 TEST_CASE_CHECK_LAYER_VISITOR_NAME(Quantize, CheckQuantizeLayerVisitorName)
 TEST_CASE_CHECK_LAYER_VISITOR_NAME_NULLPTR(Quantize, CheckQuantizeLayerVisitorNameNullptr)
 TEST_CASE_CHECK_LAYER_VISITOR_NAME(Rank, CheckRankLayerVisitorName)
 TEST_CASE_CHECK_LAYER_VISITOR_NAME_NULLPTR(Rank, CheckRankLayerVisitorNameNullptr)
+ARMNN_NO_DEPRECATE_WARN_BEGIN
 TEST_CASE_CHECK_LAYER_VISITOR_NAME(Subtraction, CheckSubtractionLayerVisitorName)
 TEST_CASE_CHECK_LAYER_VISITOR_NAME_NULLPTR(Subtraction, CheckSubtractionLayerVisitorNameNullptr)
+ARMNN_NO_DEPRECATE_WARN_END
 TEST_CASE_CHECK_LAYER_VISITOR_NAME(Switch, CheckSwitchLayerVisitorName)
 TEST_CASE_CHECK_LAYER_VISITOR_NAME_NULLPTR(Switch, CheckSwitchLayerVisitorNameNullptr)
-
 }
diff --git a/src/armnn/test/optimizations/FuseActivationTests.cpp b/src/armnn/test/optimizations/FuseActivationTests.cpp
index 3b8917192d..2ccbc9418c 100644
--- a/src/armnn/test/optimizations/FuseActivationTests.cpp
+++ b/src/armnn/test/optimizations/FuseActivationTests.cpp
@@ -1,11 +1,10 @@
 //
-// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
+// Copyright © 2020-2023 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
 #include "LayersFwd.hpp"
 
-#include <Network.hpp>
 #include <ResolveType.hpp>
 #include <armnn/INetwork.hpp>
 #include <GraphUtils.hpp>
@@ -238,6 +237,7 @@ public:
     }
 };
 
+ARMNN_NO_DEPRECATE_WARN_BEGIN
 template<DataType ArmnnType, typename T = ResolveType<ArmnnType>>
 struct MultiplicationTest
 {
@@ -272,7 +272,9 @@ struct MultiplicationTest
         return {};
     }
 };
+ARMNN_NO_DEPRECATE_WARN_END
 
+ARMNN_NO_DEPRECATE_WARN_BEGIN
 template<DataType ArmnnType, typename T = ResolveType<ArmnnType>>
 struct AdditionTest
 {
@@ -307,7 +309,9 @@ struct AdditionTest
         return {};
     }
 };
+ARMNN_NO_DEPRECATE_WARN_END
 
+ARMNN_NO_DEPRECATE_WARN_BEGIN
 template<DataType ArmnnType, typename T = ResolveType<ArmnnType>>
 struct SubtractionTest
 {
@@ -342,7 +346,9 @@ struct SubtractionTest
         return {};
     }
 };
+ARMNN_NO_DEPRECATE_WARN_END
 
+ARMNN_NO_DEPRECATE_WARN_BEGIN
 template<DataType ArmnnType, typename T = ResolveType<ArmnnType>>
 struct DivisionTest
 {
@@ -377,6 +383,7 @@ struct DivisionTest
         return {};
     }
 };
+ARMNN_NO_DEPRECATE_WARN_END
 
 template<typename LayerTest,
          DataType ArmnnType>