diff options
Diffstat (limited to 'src/backends/reference/workloads')
5 files changed, 9 insertions, 1 deletions
diff --git a/src/backends/reference/workloads/ArgMinMax.cpp b/src/backends/reference/workloads/ArgMinMax.cpp index 76616f1465..db85b958e9 100644 --- a/src/backends/reference/workloads/ArgMinMax.cpp +++ b/src/backends/reference/workloads/ArgMinMax.cpp @@ -15,6 +15,8 @@ namespace armnn void ArgMinMax(Decoder<float>& in, int32_t* out, const TensorInfo& inputTensorInfo, const TensorInfo& outputTensorInfo, ArgMinMaxFunction function, int axis) { + boost::ignore_unused(outputTensorInfo); + unsigned int uAxis = armnnUtils::GetUnsignedAxis(inputTensorInfo.GetNumDimensions(), axis); const unsigned int outerElements = armnnUtils::GetNumElementsBetween(inputTensorInfo.GetShape(), 0, uAxis); diff --git a/src/backends/reference/workloads/Dequantize.cpp b/src/backends/reference/workloads/Dequantize.cpp index fafc03e69b..4025e8d7fa 100644 --- a/src/backends/reference/workloads/Dequantize.cpp +++ b/src/backends/reference/workloads/Dequantize.cpp @@ -5,6 +5,7 @@ #include "Dequantize.hpp" +#include <boost/core/ignore_unused.hpp> namespace armnn { @@ -13,6 +14,7 @@ void Dequantize(Decoder<float>& inputDecoder, const TensorInfo& inputInfo, const TensorInfo& outputInfo) { + boost::ignore_unused(outputInfo); BOOST_ASSERT(inputInfo.GetNumElements() == outputInfo.GetNumElements()); for (unsigned int i = 0; i < inputInfo.GetNumElements(); i++) { diff --git a/src/backends/reference/workloads/DetectionPostProcess.cpp b/src/backends/reference/workloads/DetectionPostProcess.cpp index d475dd8ac0..3b384f1480 100644 --- a/src/backends/reference/workloads/DetectionPostProcess.cpp +++ b/src/backends/reference/workloads/DetectionPostProcess.cpp @@ -155,6 +155,8 @@ void DetectionPostProcess(const TensorInfo& boxEncodingsInfo, float* detectionScores, float* numDetections) { + boost::ignore_unused(anchorsInfo, detectionClassesInfo, detectionScoresInfo, numDetectionsInfo); + // Transform center-size format which is (ycenter, xcenter, height, width) to box-corner format, // which represents the lower left corner and the upper right corner (ymin, xmin, ymax, xmax) std::vector<float> boxCorners(boxEncodingsInfo.GetNumElements()); diff --git a/src/backends/reference/workloads/Gather.cpp b/src/backends/reference/workloads/Gather.cpp index c848a7c138..5416855f48 100644 --- a/src/backends/reference/workloads/Gather.cpp +++ b/src/backends/reference/workloads/Gather.cpp @@ -9,6 +9,7 @@ #include <backendsCommon/WorkloadData.hpp> +#include <boost/core/ignore_unused.hpp> #include <boost/numeric/conversion/cast.hpp> namespace armnn @@ -21,6 +22,7 @@ void Gather(const TensorInfo& paramsInfo, const int32_t* indices, Encoder<float>& output) { + boost::ignore_unused(outputInfo); const TensorShape& paramsShape = paramsInfo.GetShape(); unsigned int paramsProduct = 1; diff --git a/src/backends/reference/workloads/Pooling2d.cpp b/src/backends/reference/workloads/Pooling2d.cpp index ea8f4ee7e7..8ff2eb457a 100644 --- a/src/backends/reference/workloads/Pooling2d.cpp +++ b/src/backends/reference/workloads/Pooling2d.cpp @@ -84,7 +84,7 @@ namespace { case PoolingAlgorithm::Max: { - return [](float & accumulated, float kernelSize) {}; + return [](float & /*accumulated*/, float /*kernelSize*/) {}; } case PoolingAlgorithm::Average: |