commit c374ff06b9e9f45bcf48f4af6bda054f4b243cf6
author Derek Lamberti <derek.lamberti@arm.com> Tue Dec 10 21:57:35 2019 +0000
committer Jim Flynn Arm <jim.flynn@arm.com> Tue Dec 17 19:56:24 2019 +0000
tree bbf246ffa218df56ccbfda30e5e64c1e6bbfdf06
parent 7f834729c3d967f5b0f774c13eb4ebb3bf9041d5

IVGCVSW-4246 Clean build of LayerTests with -Wextra

Change-Id: If3d98e45a6e2fa8e1afd19a4052334335feacf63
Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>

src/backends/backendsCommon/test/layerTests/ActivationTestImpl.cpp

diff --git a/src/backends/backendsCommon/test/layerTests/ActivationTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/ActivationTestImpl.cpp
index a45c6d5..2f2d8db 100644
--- a/src/backends/backendsCommon/test/layerTests/ActivationTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/ActivationTestImpl.cpp
@@ -37,6 +37,7 @@
     unsigned int inputChannels,
     unsigned int inputBatchSize)
 {
+    boost::ignore_unused(memoryManager);
     unsigned int outputWidth = inputWidth;
     unsigned int outputHeight = inputHeight;
     unsigned int outputChannels = inputChannels;
@@ -245,6 +246,7 @@
     float upperBound,
     const armnn::ActivationDescriptor& activationDescriptor)
 {
+    boost::ignore_unused(memoryManager);
     const armnn::TensorInfo inputTensorInfo = BoundedReLuRandomInputTestTraits::GetInputTensorInfo();
     const armnn::TensorInfo outputTensorInfo = BoundedReLuRandomInputTestTraits::GetOutputTensorInfo();
 
@@ -309,6 +311,7 @@
     float qScale = 0.0f,
     int32_t qOffset = 0)
 {
+    boost::ignore_unused(memoryManager);
     unsigned int inputHeight    = 20;
     unsigned int inputWidth     = 17;
     unsigned int inputChannels  = 3;
@@ -400,6 +403,7 @@
     int32_t outOffset,
     const std::vector<float>& outputExpectedData)
 {
+    boost::ignore_unused(memoryManager);
     constexpr static unsigned int inputWidth = 16u;
     constexpr static unsigned int inputHeight = 1u;
     constexpr static unsigned int inputChannels = 1u;
@@ -790,6 +794,7 @@
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
 {
+    boost::ignore_unused(memoryManager);
     const int inputDataSize = 120;
     std::vector<float> inputData(inputDataSize);
 
@@ -1023,6 +1028,7 @@
     float qScale = 0.0f,
     int32_t qOffset = 0)
 {
+    boost::ignore_unused(memoryManager);
     unsigned int width     = 17;
     unsigned int height    = 29;
     unsigned int channels  = 2;