IVGCVSW-4482 Remove boost::ignore_unused

!referencetests:229377

Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: Ia9b360b4a057fe7bbce5b268092627c09a0dba82

44 files changed, 75 insertions, 73 deletions

diff --git a/src/backends/backendsCommon/test/layerTests/ActivationTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/ActivationTestImpl.cpp
index 6993b9e9b1..319434e093 100644
--- a/src/backends/backendsCommon/test/layerTests/ActivationTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/ActivationTestImpl.cpp
@@ -36,7 +36,7 @@ LayerTestResult<T, 4> BoundedReLuTestCommon(
     unsigned int inputChannels,
     unsigned int inputBatchSize)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     unsigned int outputWidth = inputWidth;
     unsigned int outputHeight = inputHeight;
     unsigned int outputChannels = inputChannels;
@@ -245,7 +245,7 @@ boost::multi_array<float, 4> BoundedReLuRandomInputTest(
     float upperBound,
     const armnn::ActivationDescriptor& activationDescriptor)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     const armnn::TensorInfo inputTensorInfo = BoundedReLuRandomInputTestTraits::GetInputTensorInfo();
     const armnn::TensorInfo outputTensorInfo = BoundedReLuRandomInputTestTraits::GetOutputTensorInfo();
 
@@ -310,7 +310,7 @@ LayerTestResult<T,4> ConstantLinearActivationTestCommon(
     float qScale = 0.0f,
     int32_t qOffset = 0)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     unsigned int inputHeight    = 20;
     unsigned int inputWidth     = 17;
     unsigned int inputChannels  = 3;
@@ -402,7 +402,7 @@ LayerTestResult<T, 4> SimpleActivationTest(
     int32_t outOffset,
     const std::vector<float>& outputExpectedData)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     constexpr static unsigned int inputWidth = 16u;
     constexpr static unsigned int inputHeight = 1u;
     constexpr static unsigned int inputChannels = 1u;
@@ -793,7 +793,7 @@ LayerTestResult<float, 5> SqrtNNTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     const int inputDataSize = 120;
     std::vector<float> inputData(inputDataSize);
 
@@ -1148,7 +1148,7 @@ LayerTestResult<T,4> CompareActivationTestImpl(
     float qScale = 0.0f,
     int32_t qOffset = 0)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     unsigned int width     = 17;
     unsigned int height    = 29;
     unsigned int channels  = 2;
diff --git a/src/backends/backendsCommon/test/layerTests/AdditionTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/AdditionTestImpl.cpp
index 82dc59b66b..bfe0282dc4 100644
--- a/src/backends/backendsCommon/test/layerTests/AdditionTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/AdditionTestImpl.cpp
@@ -165,7 +165,7 @@ LayerTestResult<T, 4> AdditionBroadcastTestImpl(
     float qScale,
     int32_t qOffset)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     armnn::TensorInfo inputTensorInfo1 = armnn::TensorInfo({1, 3, 2, 1}, ArmnnType);
     armnn::TensorInfo inputTensorInfo2 = armnn::TensorInfo({1, 1, 2, 3}, ArmnnType);
     armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({1, 3, 2, 3}, ArmnnType);
@@ -248,7 +248,7 @@ LayerTestResult<T, 4> AdditionBroadcast1ElementTestImpl(
     float qScale,
     int32_t qOffset)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     armnn::TensorInfo inputTensorInfo1 = armnn::TensorInfo({1, 3, 2, 3}, ArmnnType);
     armnn::TensorInfo inputTensorInfo2 = armnn::TensorInfo({1, 1, 1, 1}, ArmnnType);
     armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({1, 3, 2, 3}, ArmnnType);
@@ -455,7 +455,7 @@ LayerTestResult<float, 4> AdditionAfterMaxPoolTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
 
     // Create Initial Tensor
     // 1, 2, 3
@@ -563,7 +563,7 @@ LayerTestResult<float,4> CompareAdditionTest(
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
     armnn::IWorkloadFactory& refWorkloadFactory)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     unsigned int batchSize = 4;
     unsigned int channels  = 1;
     unsigned int height    = 2;
diff --git a/src/backends/backendsCommon/test/layerTests/ArgMinMaxTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/ArgMinMaxTestImpl.cpp
index 7bfccd64d2..20dcef5dd4 100644
--- a/src/backends/backendsCommon/test/layerTests/ArgMinMaxTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/ArgMinMaxTestImpl.cpp
@@ -26,7 +26,7 @@ LayerTestResult<int32_t, 3> ArgMinMaxTestCommon(
         const std::vector<int32_t>& outputData,
         int axis = 3)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     auto inputTensor = MakeTensor<T, 4>(inputTensorInfo, ConvertToDataType<ArmnnType>(inputData, inputTensorInfo));
 
     LayerTestResult<int32_t, 3> result(outputTensorInfo);
diff --git a/src/backends/backendsCommon/test/layerTests/BatchNormalizationTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/BatchNormalizationTestImpl.cpp
index f64b06d84b..48f7257a2e 100644
--- a/src/backends/backendsCommon/test/layerTests/BatchNormalizationTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/BatchNormalizationTestImpl.cpp
@@ -8,7 +8,7 @@
 #include <QuantizeHelper.hpp>
 #include <ResolveType.hpp>
 
-
+#include <armnn/utility/IgnoreUnused.hpp>
 #include <armnnUtils/DataLayoutIndexed.hpp>
 
 #include <backendsCommon/CpuTensorHandle.hpp>
@@ -36,7 +36,7 @@ LayerTestResult<T, 4> BatchNormTestImpl(
     int32_t qOffset,
     armnn::DataLayout dataLayout)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     armnn::TensorInfo inputTensorInfo(inputOutputTensorShape, ArmnnType);
     armnn::TensorInfo outputTensorInfo(inputOutputTensorShape, ArmnnType);
 
@@ -115,7 +115,7 @@ LayerTestResult<T,4> BatchNormTestNhwcImpl(
     float qScale,
     int32_t qOffset)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
 
     const unsigned int width    = 2;
     const unsigned int height   = 3;
@@ -589,7 +589,7 @@ LayerTestResult<float,4> CompareBatchNormTest(
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
     armnn::IWorkloadFactory& refWorkloadFactory)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     const unsigned int width     = 2;
     const unsigned int height    = 3;
     const unsigned int channels  = 5;
diff --git a/src/backends/backendsCommon/test/layerTests/BatchToSpaceNdTestImpl.hpp b/src/backends/backendsCommon/test/layerTests/BatchToSpaceNdTestImpl.hpp
index 12413667b9..2ba3a0c68c 100644
--- a/src/backends/backendsCommon/test/layerTests/BatchToSpaceNdTestImpl.hpp
+++ b/src/backends/backendsCommon/test/layerTests/BatchToSpaceNdTestImpl.hpp
@@ -39,7 +39,7 @@ LayerTestResult<T, OutputDim> BatchToSpaceNdHelper(
         float scale = 1.0f,
         int32_t offset = 0)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
 
     armnn::TensorInfo inputTensorInfo(InputDim, inputShape, ArmnnType);
     armnn::TensorInfo outputTensorInfo(OutputDim, outputShape, ArmnnType);
diff --git a/src/backends/backendsCommon/test/layerTests/ComparisonTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/ComparisonTestImpl.cpp
index 9f9944d6db..2156b0ee9e 100644
--- a/src/backends/backendsCommon/test/layerTests/ComparisonTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/ComparisonTestImpl.cpp
@@ -43,7 +43,7 @@ LayerTestResult<uint8_t, NumDims> ComparisonTestImpl(
     float outQuantScale,
     int outQuantOffset)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     BOOST_ASSERT(shape0.GetNumDimensions() == NumDims);
     armnn::TensorInfo inputTensorInfo0(shape0, ArmnnInType, quantScale0, quantOffset0);
 
diff --git a/src/backends/backendsCommon/test/layerTests/ConcatTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/ConcatTestImpl.cpp
index 9d590e3feb..f6f4b09f6a 100644
--- a/src/backends/backendsCommon/test/layerTests/ConcatTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/ConcatTestImpl.cpp
@@ -126,7 +126,7 @@ template<typename T> void PermuteTensorData(
     const T * inputData,
     std::vector<T>& outputData)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     BOOST_ASSERT_MSG(inputData != nullptr, "inputData must not be null");
     if (inputData == nullptr)
     {
@@ -178,7 +178,7 @@ template<typename T> void PermuteInputsForConcat(
     unsigned int & concatDim,
     TensorInfo & outputTensorInfo)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     BOOST_ASSERT_MSG(inputTensorInfos.size() > 1,
         "Expecting more than one tensor to be concatenated here");
 
@@ -1918,7 +1918,7 @@ LayerTestResult<T, 3> ConcatDifferentInputOutputQParamTest(
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
     bool useSubtensor)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
 
     // Defines the tensor descriptors.
     TensorInfo outputTensorInfo({ 3, 6, 3 }, ArmnnType);
@@ -2073,7 +2073,7 @@ LayerTestResult<float,3> ConcatTest(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
 
     unsigned int outputWidth = 3;
     unsigned int outputHeight = 6;
@@ -2346,7 +2346,7 @@ LayerTestResult<uint8_t, 3> ConcatUint8DifferentQParamsTest(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
 
     unsigned int outputWidth = 3;
     unsigned int outputHeight = 6;
@@ -2491,7 +2491,7 @@ LayerTestResult<uint8_t, 3> ConcatUint8Test(
     IWorkloadFactory& workloadFactory,
     const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
 
     unsigned int outputWidth = 3;
     unsigned int outputHeight = 6;
@@ -2629,7 +2629,7 @@ LayerTestResult<uint16_t, 3> ConcatUint16Test(
         IWorkloadFactory& workloadFactory,
         const IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
 
     unsigned int outputWidth = 3;
     unsigned int outputHeight = 6;
diff --git a/src/backends/backendsCommon/test/layerTests/ConstantTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/ConstantTestImpl.cpp
index d11004c069..7a8aac4686 100644
--- a/src/backends/backendsCommon/test/layerTests/ConstantTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/ConstantTestImpl.cpp
@@ -28,7 +28,7 @@ LayerTestResult<T, 4> ConstantTestImpl(
     float qScale,
     int32_t qOffset)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     constexpr unsigned int inputWidth = 3;
     constexpr unsigned int inputHeight = 4;
     constexpr unsigned int inputChannels = 3;
diff --git a/src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.cpp
index 669398fb54..89cdd96e37 100644
--- a/src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.cpp
@@ -8,7 +8,7 @@
 #include <QuantizeHelper.hpp>
 #include <armnnUtils/TensorUtils.hpp>
 
-
+#include <armnn/utility/IgnoreUnused.hpp>
 #include <armnnUtils/DataLayoutIndexed.hpp>
 #include <armnnUtils/Permute.hpp>
 
@@ -217,7 +217,7 @@ LayerTestResult<T, 4> SimpleConvolution2dTestImpl(
     uint32_t dilationX = 1,
     uint32_t dilationY = 1)
 {
-    boost::ignore_unused(memoryManager);
+    armnn::IgnoreUnused(memoryManager);
     unsigned int inputHeight   = boost::numeric_cast<unsigned int>(originalInput.shape()[2]);
     unsigned int inputWidth    = boost::numeric_cast<unsigned int>(originalInput.shape()[3]);
     unsigned int inputChannels = boost::numeric_cast<unsigned int>(originalInput.shape()[1]);
@@ -381,7 +381,7 @@ LayerTestResult<T, 4> SimpleConvolution2dNhwcTestImpl(
     uint32_t strideX  = 1,
     uint32_t strideY  = 1)
 {
-    boost::ignore_unused(qScale, qOffset);
+    armnn::IgnoreUnused(qScale, qOffset);
     unsigned int inputNum       = boost::numeric_cast<unsigned int>(input.shape()[0]);
     unsigned int inputChannels  = boost::numeric_cast<unsigned int>(input.shape()[3]);
     unsigned int inputHeight    = boost::numeric_cast<unsigned int>(input.shape()[1]);
@@ -587,7 +587,7 @@ LayerTestResult<T, 4> SimpleConvolution2d3x3NhwcTestCommon(
     bool biasEnabled,
     armnn::DataLayout dataLayout)
 {
-    boost::ignore_unused(biasEnabled);
+    armnn::IgnoreUnused(biasEnabled);
     // Use common single-batch 5x5 image.
 
     armnn::TensorInfo inputDesc({1, 3, 4, 1}, ArmnnType);
@@ -640,7 +640,7 @@ LayerTestResult<T, 4> SimpleConvolution2d3x3Stride2x2TestCommon(
         bool biasEnabled,
         const armnn::DataLayout& dataLayout)
 {
-    boost::ignore_unused(biasEnabled);
+    armnn::IgnoreUnused(biasEnabled);
 
     // Input is a single-batch, 1 channel, 5x5 image.
     armnn::TensorInfo inputDesc({1, 5, 5, 1}, ArmnnType);
diff --git a/src/backends/backendsCommon/test/layerTests/ConvertFp16ToFp32TestImpl.cpp b/src/backends/backendsCommon/test/layerTests/ConvertFp16ToFp32TestImpl.cpp
index cea6efb549..8b3bbd82e2 100644
--- a/src/backends/backendsCommon/test/layerTests/ConvertFp16ToFp32TestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/ConvertFp16ToFp32TestImpl.cpp
@@ -17,7 +17,7 @@ LayerTestResult<float, 4> SimpleConvertFp16ToFp32Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     using namespace half_float::literal;
 
     const armnn::TensorInfo inputTensorInfo({1, 3, 2, 3}, armnn::DataType::Float16);
diff --git a/src/backends/backendsCommon/test/layerTests/ConvertFp32ToFp16TestImpl.cpp b/src/backends/backendsCommon/test/layerTests/ConvertFp32ToFp16TestImpl.cpp
index 9f4eecac2e..1e604719e7 100644
--- a/src/backends/backendsCommon/test/layerTests/ConvertFp32ToFp16TestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/ConvertFp32ToFp16TestImpl.cpp
@@ -15,7 +15,7 @@ LayerTestResult<armnn::Half, 4> SimpleConvertFp32ToFp16Test(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     using namespace half_float::literal;
 
     const armnn::TensorInfo inputTensorInfo({1, 3, 2, 3}, armnn::DataType::Float32);
diff --git a/src/backends/backendsCommon/test/layerTests/DebugTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/DebugTestImpl.cpp
index 92c5d92fcc..149779b9ef 100644
--- a/src/backends/backendsCommon/test/layerTests/DebugTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/DebugTestImpl.cpp
@@ -30,7 +30,7 @@ LayerTestResult<T, Dim> DebugTestImpl(
     const float qScale = 1.0f,
     const int32_t qOffset = 0)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     if(armnn::IsQuantizedType<T>())
     {
         inputTensorInfo.SetQuantizationScale(qScale);
diff --git a/src/backends/backendsCommon/test/layerTests/DepthToSpaceTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/DepthToSpaceTestImpl.cpp
index 4ddfb3089f..4d4a6bc156 100644
--- a/src/backends/backendsCommon/test/layerTests/DepthToSpaceTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/DepthToSpaceTestImpl.cpp
@@ -29,7 +29,7 @@ LayerTestResult<T, 4> DepthToSpaceTestImpl(
     const float qScale = 1.0f,
     const int32_t qOffset = 0)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     if (descriptor.m_Parameters.m_DataLayout == armnn::DataLayout::NCHW)
     {
         PermuteTensorNhwcToNchw<float>(inputInfo, inputData);
diff --git a/src/backends/backendsCommon/test/layerTests/DequantizeTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/DequantizeTestImpl.cpp
index 91d56bb492..0a4bdb8124 100644
--- a/src/backends/backendsCommon/test/layerTests/DequantizeTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/DequantizeTestImpl.cpp
@@ -26,7 +26,7 @@ LayerTestResult<T1, Dim> DequantizeTestImpl(
         const std::vector<T1>& expectedOutputData,
         armnn::DequantizeQueueDescriptor descriptor)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     boost::multi_array<T, Dim> input = MakeTensor<T, Dim>(inputTensorInfo, inputData);
 
     LayerTestResult<T1, Dim> ret(outputTensorInfo);
diff --git a/src/backends/backendsCommon/test/layerTests/DivisionTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/DivisionTestImpl.cpp
index 223beb49e8..2359f777b8 100644
--- a/src/backends/backendsCommon/test/layerTests/DivisionTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/DivisionTestImpl.cpp
@@ -20,7 +20,7 @@ LayerTestResult<float, 4> DivisionByZeroTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     const unsigned int width        = 2u;
     const unsigned int height       = 2u;
     const unsigned int channelCount = 2u;
diff --git a/src/backends/backendsCommon/test/layerTests/FakeQuantizationTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/FakeQuantizationTestImpl.cpp
index d905bde7a0..905f97b968 100644
--- a/src/backends/backendsCommon/test/layerTests/FakeQuantizationTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/FakeQuantizationTestImpl.cpp
@@ -17,7 +17,7 @@ LayerTestResult<float, 2> FakeQuantizationTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     constexpr unsigned int width = 2;
     constexpr unsigned int height = 3;
 
diff --git a/src/backends/backendsCommon/test/layerTests/FloorTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/FloorTestImpl.cpp
index ebad7fc91c..444809f69b 100644
--- a/src/backends/backendsCommon/test/layerTests/FloorTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/FloorTestImpl.cpp
@@ -16,7 +16,7 @@ LayerTestResult<T, 4> SimpleFloorTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     armnn::TensorInfo inputTensorInfo({1, 3, 2, 3}, ArmnnType);
     inputTensorInfo.SetQuantizationScale(0.1f);
 
diff --git a/src/backends/backendsCommon/test/layerTests/FullyConnectedTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/FullyConnectedTestImpl.cpp
index 7c6122e5fa..43bcfb1d76 100644
--- a/src/backends/backendsCommon/test/layerTests/FullyConnectedTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/FullyConnectedTestImpl.cpp
@@ -34,7 +34,7 @@ LayerTestResult<T, 2> SimpleFullyConnectedTestImpl(
         bool biasEnabled,
         bool transposeWeights)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo);
     std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
 
diff --git a/src/backends/backendsCommon/test/layerTests/GatherTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/GatherTestImpl.cpp
index 68410559f7..47adb22fe7 100644
--- a/src/backends/backendsCommon/test/layerTests/GatherTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/GatherTestImpl.cpp
@@ -31,7 +31,7 @@ LayerTestResult<T, OutputDim> GatherTestImpl(
     const std::vector<int32_t>& indicesData,
     const std::vector<T>& outputData)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     auto params  = MakeTensor<T, ParamsDim>(paramsInfo, paramsData);
     auto indices = MakeTensor<int32_t, IndicesDim>(indicesInfo, indicesData);
 
diff --git a/src/backends/backendsCommon/test/layerTests/InstanceNormalizationTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/InstanceNormalizationTestImpl.cpp
index ae28bc03f3..a13198b2f9 100644
--- a/src/backends/backendsCommon/test/layerTests/InstanceNormalizationTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/InstanceNormalizationTestImpl.cpp
@@ -34,7 +34,7 @@ LayerTestResult<T, 4> InstanceNormTestImpl(
     float qScale = 0.0f,
     int32_t qOffset = 0)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     auto inputTensor = MakeTensor<T, 4>(inputTensorInfo,
                                         armnnUtils::QuantizedVector<T>(inputValues, qScale, qOffset));
 
diff --git a/src/backends/backendsCommon/test/layerTests/L2NormalizationTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/L2NormalizationTestImpl.cpp
index e500a126f6..4d98e236d3 100644
--- a/src/backends/backendsCommon/test/layerTests/L2NormalizationTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/L2NormalizationTestImpl.cpp
@@ -33,7 +33,7 @@ LayerTestResult<T, 4> L2NormalizationTestImpl(
     const armnn::DataLayout layout,
     float epsilon = 1e-12f)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     const armnn::TensorInfo inputTensorInfo(inputOutputTensorShape, ArmnnType, scale, offset);
     const armnn::TensorInfo outputTensorInfo(inputOutputTensorShape, ArmnnType, outScale, outOffset);
 
diff --git a/src/backends/backendsCommon/test/layerTests/LogSoftmaxTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/LogSoftmaxTestImpl.cpp
index 392983c311..208bed24a5 100644
--- a/src/backends/backendsCommon/test/layerTests/LogSoftmaxTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/LogSoftmaxTestImpl.cpp
@@ -36,7 +36,7 @@ LayerTestResult<T, NumDims> LogSoftmaxTestImpl(
     float qScale = 1.0f,
     int32_t qOffset = 0)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     LayerTestResult<T, NumDims> result(outputInfo);
     result.outputExpected =
         MakeTensor<T, NumDims>(outputInfo, armnnUtils::QuantizedVector<T>(expectedOutputValues, qScale, qOffset));
diff --git a/src/backends/backendsCommon/test/layerTests/LstmTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/LstmTestImpl.cpp
index b12df8a2b9..50ef5c9758 100644
--- a/src/backends/backendsCommon/test/layerTests/LstmTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/LstmTestImpl.cpp
@@ -142,7 +142,7 @@ LstmNoCifgNoPeepholeNoProjectionTestImpl(
         int32_t qOffset = 0,
         armnn::DataType constantDataType = armnn::DataType::Float32)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     unsigned int batchSize = boost::numeric_cast<unsigned int>(input.shape()[0]);
     unsigned int inputSize = boost::numeric_cast<unsigned int>(input.shape()[1]);
     unsigned int outputSize = boost::numeric_cast<unsigned int>(outputExpected.shape()[1]);
@@ -345,7 +345,7 @@ LstmLayerNoCifgWithPeepholeWithProjectionTestImpl(armnn::IWorkloadFactory& workl
                                                   int32_t qOffset = 0,
                                                   armnn::DataType constantDataType = armnn::DataType::Float32)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     unsigned int batchSize = 2;
     unsigned int outputSize = 16;
     unsigned int inputSize = 5;
@@ -1060,7 +1060,7 @@ LayerTestResult<T, 2> LstmLayerWithCifgWithPeepholeNoProjectionTestImpl(
         int32_t qOffset = 0,
         armnn::DataType constantDataType = armnn::DataType::Float32)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     bool cifgEnabled = true;
     bool peepholeEnabled = true;
     bool projectionEnabled = false;
@@ -1285,7 +1285,7 @@ LstmLayerNoCifgWithPeepholeWithProjectionWithLayerNormTestImpl(armnn::IWorkloadF
                                                   int32_t qOffset = 0,
                                                   armnn::DataType constantDataType = armnn::DataType::Float32)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     unsigned int batchSize = 2;
     unsigned int outputSize = 3;
     unsigned int inputSize = 5;
@@ -1552,7 +1552,7 @@ LayerTestResult<uint8_t, 2> QuantizedLstmTestImpl(
     const boost::multi_array<uint8_t, 2>& input,
     const boost::multi_array<uint8_t, 2>& outputExpected)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     auto numBatches = boost::numeric_cast<unsigned int>(input.shape()[0]);
     auto inputSize = boost::numeric_cast<unsigned int>(input.shape()[1]);
     auto outputSize = boost::numeric_cast<unsigned int>(outputExpected.shape()[1]);
diff --git a/src/backends/backendsCommon/test/layerTests/MaximumTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/MaximumTestImpl.cpp
index 5147cffddb..0e66d9fecd 100644
--- a/src/backends/backendsCommon/test/layerTests/MaximumTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/MaximumTestImpl.cpp
@@ -19,7 +19,7 @@ std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::MaximumQueueDescriptor>(
 LayerTestResult<float, 4> MaximumSimpleTest(armnn::IWorkloadFactory& workloadFactory,
                                            const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     const unsigned int width        = 2u;
     const unsigned int height       = 2u;
     const unsigned int channelCount = 2u;
diff --git a/src/backends/backendsCommon/test/layerTests/MeanTestImpl.hpp b/src/backends/backendsCommon/test/layerTests/MeanTestImpl.hpp
index b8eae1c93e..cd7b22ea42 100644
--- a/src/backends/backendsCommon/test/layerTests/MeanTestImpl.hpp
+++ b/src/backends/backendsCommon/test/layerTests/MeanTestImpl.hpp
@@ -28,7 +28,7 @@ LayerTestResult<T, OutputDim> MeanTestHelper(
         float scale = 1.0f,
         int32_t offset = 0)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
 
     armnn::TensorInfo inputTensorInfo(InputDim, inputShape, ArmnnType);
     armnn::TensorInfo outputTensorInfo(OutputDim, outputShape, ArmnnType);
diff --git a/src/backends/backendsCommon/test/layerTests/MinimumTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/MinimumTestImpl.cpp
index a0a4029115..ae54746ad8 100644
--- a/src/backends/backendsCommon/test/layerTests/MinimumTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/MinimumTestImpl.cpp
@@ -20,7 +20,7 @@ LayerTestResult<float, 4> MinimumBroadcast1ElementTest1(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     unsigned int shape0[] = { 1, 2, 2, 2 };
     unsigned int shape1[] = { 1, 1, 1, 1 };
 
diff --git a/src/backends/backendsCommon/test/layerTests/MultiplicationTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/MultiplicationTestImpl.cpp
index d32e0cf89b..1a9cf5b173 100644
--- a/src/backends/backendsCommon/test/layerTests/MultiplicationTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/MultiplicationTestImpl.cpp
@@ -401,7 +401,7 @@ LayerTestResult<float,4> CompareMultiplicationTest(
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
     armnn::IWorkloadFactory& refWorkloadFactory)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     const unsigned int width = 16;
     const unsigned int height = 32;
     const unsigned int channelCount = 2;
diff --git a/src/backends/backendsCommon/test/layerTests/NormalizationTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/NormalizationTestImpl.cpp
index ef828555fa..ef3a45b391 100644
--- a/src/backends/backendsCommon/test/layerTests/NormalizationTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/NormalizationTestImpl.cpp
@@ -24,7 +24,7 @@ LayerTestResult<float,4> SimpleNormalizationTestImpl(
     armnn::NormalizationAlgorithmChannel normChannel,
     armnn::NormalizationAlgorithmMethod normMethod)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     const unsigned int inputHeight = 2;
     const unsigned int inputWidth = 2;
     const unsigned int inputChannels = 1;
diff --git a/src/backends/backendsCommon/test/layerTests/PadTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/PadTestImpl.cpp
index 9239c665eb..69c651b5cd 100644
--- a/src/backends/backendsCommon/test/layerTests/PadTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/PadTestImpl.cpp
@@ -24,7 +24,7 @@ LayerTestResult<T, 2> Pad2dTestCommon(
     int32_t qOffset,
     const float customPaddingValue)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     const armnn::TensorShape inputShape{ 3, 3 };
     const armnn::TensorShape outputShape{ 7, 7 };
 
@@ -96,7 +96,7 @@ LayerTestResult<T, 3> Pad3dTestCommon(
     float qScale,
     int32_t qOffset)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     const armnn::TensorShape inputShape{ 2, 2, 2 };
     const armnn::TensorShape outputShape{ 3, 5, 6 };
 
@@ -180,7 +180,7 @@ LayerTestResult<T, 4> Pad4dTestCommon(
     float qScale,
     int32_t qOffset)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     const armnn::TensorShape inputShape{ 2, 2, 3, 2 };
     const armnn::TensorShape outputShape{ 4, 5, 7, 4 };
 
diff --git a/src/backends/backendsCommon/test/layerTests/PermuteTestImpl.hpp b/src/backends/backendsCommon/test/layerTests/PermuteTestImpl.hpp
index 9460592888..71e15334e7 100644
--- a/src/backends/backendsCommon/test/layerTests/PermuteTestImpl.hpp
+++ b/src/backends/backendsCommon/test/layerTests/PermuteTestImpl.hpp
@@ -25,7 +25,7 @@ LayerTestResult<T, 4> SimplePermuteTestImpl(
         const std::vector<T>& inputData,
         const std::vector<T>& outputExpectedData)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     auto input = MakeTensor<T, 4>(inputTensorInfo, inputData);
 
     LayerTestResult<T, 4> ret(outputTensorInfo);
diff --git a/src/backends/backendsCommon/test/layerTests/Pooling2dTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/Pooling2dTestImpl.cpp
index b58e9826b8..89e46fbdb1 100644
--- a/src/backends/backendsCommon/test/layerTests/Pooling2dTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/Pooling2dTestImpl.cpp
@@ -14,6 +14,8 @@
 #include <armnnUtils/DataLayoutIndexed.hpp>
 #include <armnnUtils/Permute.hpp>
 
+#include <armnn/utility/IgnoreUnused.hpp>
+
 #include <backendsCommon/WorkloadInfo.hpp>
 
 #include <backendsCommon/test/TensorCopyUtils.hpp>
@@ -38,7 +40,7 @@ LayerTestResult<T, 4> SimplePooling2dTestImpl(
     const boost::multi_array<T, 4>& input,
     const boost::multi_array<T, 4>& outputExpected)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     const armnn::DataLayout dataLayout = descriptor.m_DataLayout;
     const armnnUtils::DataLayoutIndexed dimensionIndices = dataLayout;
     auto heightIndex = dimensionIndices.GetHeightIndex();
@@ -740,7 +742,7 @@ LayerTestResult<T, 4> ComparePooling2dTestCommon(
     float qScale = 1.0f,
     int32_t qOffset = 0)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     const unsigned int inputWidth = 16;
     const unsigned int inputHeight = 32;
     const unsigned int channelCount = 2;
diff --git a/src/backends/backendsCommon/test/layerTests/PreluTestImpl.hpp b/src/backends/backendsCommon/test/layerTests/PreluTestImpl.hpp
index 7138b46f88..3b6c2d8412 100644
--- a/src/backends/backendsCommon/test/layerTests/PreluTestImpl.hpp
+++ b/src/backends/backendsCommon/test/layerTests/PreluTestImpl.hpp
@@ -24,7 +24,7 @@ LayerTestResult<T, 4> PreluTest(
         armnn::IWorkloadFactory& workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
 
     armnn::TensorInfo inputTensorInfo ({ 1, 2, 2, 3 }, ArmnnType);
     armnn::TensorInfo alphaTensorInfo ({ 1, 1, 1, 3 }, ArmnnType);
diff --git a/src/backends/backendsCommon/test/layerTests/QuantizeTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/QuantizeTestImpl.cpp
index e8996d4a51..673bfef678 100644
--- a/src/backends/backendsCommon/test/layerTests/QuantizeTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/QuantizeTestImpl.cpp
@@ -29,7 +29,7 @@ LayerTestResult<T, Dim> QuantizeTestImpl(
     const std::vector<T>& expectedOutputData,
     armnn::QuantizeQueueDescriptor descriptor)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     boost::multi_array<float, Dim> input = MakeTensor<float, Dim>(inputTensorInfo, inputData);
 
     LayerTestResult<T, Dim> ret(outputTensorInfo);
diff --git a/src/backends/backendsCommon/test/layerTests/ReshapeTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/ReshapeTestImpl.cpp
index 894ece65a5..5ed947d8c3 100644
--- a/src/backends/backendsCommon/test/layerTests/ReshapeTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/ReshapeTestImpl.cpp
@@ -23,7 +23,7 @@ LayerTestResult<T, NumDims> SimpleReshapeTestImpl(
     const std::vector<T>& inputData,
     const std::vector<T>& outputExpectedData)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     auto input = MakeTensor<T, NumDims>(inputTensorInfo, inputData);
 
     LayerTestResult<T, NumDims> ret(outputTensorInfo);
diff --git a/src/backends/backendsCommon/test/layerTests/ResizeTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/ResizeTestImpl.cpp
index a6e0ca19a5..e95f18b7a5 100644
--- a/src/backends/backendsCommon/test/layerTests/ResizeTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/ResizeTestImpl.cpp
@@ -73,7 +73,7 @@ LayerTestResult<T, NumDims> ResizeTestImpl(
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
     const ResizeTestParams& params)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     armnn::TensorInfo inputInfo(params.m_InputShape, ArmnnType);
     armnn::TensorInfo outputInfo(params.m_OutputShape, ArmnnType);
 
diff --git a/src/backends/backendsCommon/test/layerTests/SliceTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/SliceTestImpl.cpp
index 09f15c022e..df3b6238c5 100644
--- a/src/backends/backendsCommon/test/layerTests/SliceTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/SliceTestImpl.cpp
@@ -29,7 +29,7 @@ LayerTestResult<T, NumDims> SliceTestImpl(
     const float qScale = 1.0f,
     const int qOffset = 0)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     if(armnn::IsQuantizedType<T>())
     {
         inputInfo.SetQuantizationScale(qScale);
diff --git a/src/backends/backendsCommon/test/layerTests/SoftmaxTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/SoftmaxTestImpl.cpp
index 044589b9d2..772ae2ccc7 100644
--- a/src/backends/backendsCommon/test/layerTests/SoftmaxTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/SoftmaxTestImpl.cpp
@@ -65,7 +65,7 @@ LayerTestResult<T, n> SimpleSoftmaxBaseTestImpl(
     const std::vector<float>& inputData,
     int axis = 1)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     using std::exp;
 
     const float qScale = 1.f / 256.f;
diff --git a/src/backends/backendsCommon/test/layerTests/SpaceToBatchNdTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/SpaceToBatchNdTestImpl.cpp
index ed35413e1e..d1bc2a950f 100644
--- a/src/backends/backendsCommon/test/layerTests/SpaceToBatchNdTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/SpaceToBatchNdTestImpl.cpp
@@ -31,7 +31,7 @@ LayerTestResult<T, 4> SpaceToBatchNdTestImpl(
     const float qScale = 1.0f,
     const int32_t qOffset = 0)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     const armnn::PermutationVector NCHWToNHWC = {0, 3, 1, 2};
     if (descriptor.m_Parameters.m_DataLayout == armnn::DataLayout::NHWC)
     {
diff --git a/src/backends/backendsCommon/test/layerTests/SpaceToDepthTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/SpaceToDepthTestImpl.cpp
index bf2f48ca61..c6a5bbed0e 100644
--- a/src/backends/backendsCommon/test/layerTests/SpaceToDepthTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/SpaceToDepthTestImpl.cpp
@@ -31,7 +31,7 @@ LayerTestResult<T, 4> SpaceToDepthTestImpl(
     const float qScale = 1.0f,
     const int32_t qOffset = 0)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     const armnn::PermutationVector NHWCToNCHW = {0, 2, 3, 1};
 
     if (descriptor.m_Parameters.m_DataLayout == armnn::DataLayout::NCHW)
diff --git a/src/backends/backendsCommon/test/layerTests/SplitterTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/SplitterTestImpl.cpp
index f55aca1baa..88b18b9732 100644
--- a/src/backends/backendsCommon/test/layerTests/SplitterTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/SplitterTestImpl.cpp
@@ -24,7 +24,7 @@ std::vector<LayerTestResult<T,3>> SplitterTestCommon(
     float qScale = 0.0f,
     int32_t qOffset = 0)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     unsigned int inputWidth = 5;
     unsigned int inputHeight = 6;
     unsigned int inputChannels = 3;
@@ -257,7 +257,7 @@ LayerTestResult<T, 3> CopyViaSplitterTestImpl(
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
     float qScale, int32_t qOffset)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     const armnn::TensorInfo tensorInfo({ 3, 6, 5 }, ArmnnType, qScale, qOffset);
     auto input = MakeTensor<T, 3>(
         tensorInfo,
diff --git a/src/backends/backendsCommon/test/layerTests/StackTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/StackTestImpl.cpp
index 45dff96ea7..eeaa846972 100644
--- a/src/backends/backendsCommon/test/layerTests/StackTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/StackTestImpl.cpp
@@ -30,7 +30,7 @@ LayerTestResult<T, outputDimLength> StackTestHelper(
         const std::vector<std::vector<T>>& inputData,
         const std::vector<T>& outputExpectedData)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     unsigned int numInputs = static_cast<unsigned int>(inputData.size());
     std::vector<boost::multi_array<T, outputDimLength-1>> inputs;
     for (unsigned int i = 0; i < numInputs; ++i)
diff --git a/src/backends/backendsCommon/test/layerTests/StridedSliceTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/StridedSliceTestImpl.cpp
index 63a95b1008..b857a1b23b 100644
--- a/src/backends/backendsCommon/test/layerTests/StridedSliceTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/StridedSliceTestImpl.cpp
@@ -29,7 +29,7 @@ LayerTestResult<T, OutDim> StridedSliceTestImpl(
     const float qScale = 1.0f,
     const int32_t qOffset = 0)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     if(armnn::IsQuantizedType<T>())
     {
         inputTensorInfo.SetQuantizationScale(qScale);
diff --git a/src/backends/backendsCommon/test/layerTests/TransposeConvolution2dTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/TransposeConvolution2dTestImpl.cpp
index 378ec46bd1..07f52584ca 100644
--- a/src/backends/backendsCommon/test/layerTests/TransposeConvolution2dTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/TransposeConvolution2dTestImpl.cpp
@@ -51,7 +51,7 @@ void TransposeConvolution2dTestImpl(armnn::IWorkloadFactory& workloadFactory,
                                     const TensorData<T>& weights,
                                     const armnn::Optional<TensorData<BT>>& biases)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     using namespace armnn;
 
     VerifyInputTensorData(input, "input");
diff --git a/src/backends/backendsCommon/test/layerTests/TransposeTestImpl.hpp b/src/backends/backendsCommon/test/layerTests/TransposeTestImpl.hpp
index 3949dcc142..0e0f317a3e 100644
--- a/src/backends/backendsCommon/test/layerTests/TransposeTestImpl.hpp
+++ b/src/backends/backendsCommon/test/layerTests/TransposeTestImpl.hpp
@@ -25,7 +25,7 @@ LayerTestResult<T, 4> SimpleTransposeTestImpl(
         const std::vector<T>& inputData,
         const std::vector<T>& outputExpectedData)
 {
-    boost::ignore_unused(memoryManager);
+    IgnoreUnused(memoryManager);
     auto input = MakeTensor<T, 4>(inputTensorInfo, inputData);
 
     LayerTestResult<T, 4> ret(outputTensorInfo);