diff options
Diffstat (limited to 'src/backends/reference')
8 files changed, 16 insertions, 28 deletions
diff --git a/src/backends/reference/workloads/ConvImpl.hpp b/src/backends/reference/workloads/ConvImpl.hpp index d971b8f24f..d9d8a87ae8 100644 --- a/src/backends/reference/workloads/ConvImpl.hpp +++ b/src/backends/reference/workloads/ConvImpl.hpp @@ -15,8 +15,6 @@ #include <armnnUtils/DataLayoutIndexed.hpp> -#include <boost/numeric/conversion/cast.hpp> - #include <cmath> #include <limits> diff --git a/src/backends/reference/workloads/Debug.cpp b/src/backends/reference/workloads/Debug.cpp index aadbc7613b..df05ad73dc 100644 --- a/src/backends/reference/workloads/Debug.cpp +++ b/src/backends/reference/workloads/Debug.cpp @@ -8,8 +8,6 @@ #include <BFloat16.hpp> #include <Half.hpp> -#include <boost/numeric/conversion/cast.hpp> - #include <algorithm> #include <iostream> @@ -53,10 +51,10 @@ void Debug(const TensorInfo& inputInfo, std::cout << "], "; std::cout << "\"min\": " - << boost::numeric_cast<float>(*std::min_element(inputData, inputData + numElements)) << ", "; + << static_cast<float>(*std::min_element(inputData, inputData + numElements)) << ", "; std::cout << "\"max\": " - << boost::numeric_cast<float>(*std::max_element(inputData, inputData + numElements)) << ", "; + << static_cast<float>(*std::max_element(inputData, inputData + numElements)) << ", "; std::cout << "\"data\": "; @@ -70,7 +68,7 @@ void Debug(const TensorInfo& inputInfo, } } - std::cout << boost::numeric_cast<float>(inputData[i]); + std::cout << static_cast<float>(inputData[i]); for (unsigned int j = 0; j < numDims; j++) { diff --git a/src/backends/reference/workloads/DetectionPostProcess.cpp b/src/backends/reference/workloads/DetectionPostProcess.cpp index ce07110da9..f80f20a441 100644 --- a/src/backends/reference/workloads/DetectionPostProcess.cpp +++ b/src/backends/reference/workloads/DetectionPostProcess.cpp @@ -8,8 +8,6 @@ #include <armnn/utility/Assert.hpp> #include <armnn/utility/NumericCast.hpp> -#include <boost/numeric/conversion/cast.hpp> - #include <algorithm> #include <numeric> @@ -120,7 +118,7 @@ void AllocateOutputData(unsigned int numOutput, { unsigned int boxCornorIndex = selectedBoxes[outputIndices[i]] * 4; detectionScores[i] = selectedScores[outputIndices[i]]; - detectionClasses[i] = boost::numeric_cast<float>(selectedClasses[outputIndices[i]]); + detectionClasses[i] = armnn::numeric_cast<float>(selectedClasses[outputIndices[i]]); detectionBoxes[boxIndex] = boxCorners[boxCornorIndex]; detectionBoxes[boxIndex + 1] = boxCorners[boxCornorIndex + 1]; detectionBoxes[boxIndex + 2] = boxCorners[boxCornorIndex + 2]; @@ -136,7 +134,7 @@ void AllocateOutputData(unsigned int numOutput, detectionBoxes[boxIndex + 3] = 0.0f; } } - numDetections[0] = boost::numeric_cast<float>(numSelected); + numDetections[0] = armnn::numeric_cast<float>(numSelected); } void DetectionPostProcess(const TensorInfo& boxEncodingsInfo, diff --git a/src/backends/reference/workloads/Mean.cpp b/src/backends/reference/workloads/Mean.cpp index e43a4d5312..fe34efe0c7 100644 --- a/src/backends/reference/workloads/Mean.cpp +++ b/src/backends/reference/workloads/Mean.cpp @@ -8,8 +8,6 @@ #include <armnn/utility/NumericCast.hpp> -#include <boost/numeric/conversion/cast.hpp> - #include <cmath> #include <cstddef> #include <functional> @@ -130,15 +128,15 @@ void Mean(const armnn::TensorInfo& inputInfo, for (unsigned int idx = 0; idx < numResolvedAxis; ++idx) { unsigned int current = inputDims[resolvedAxis[idx]]; - ARMNN_ASSERT(boost::numeric_cast<float>(current) < - (std::numeric_limits<float>::max() / boost::numeric_cast<float>(numElementsInAxis))); + ARMNN_ASSERT(armnn::numeric_cast<float>(current) < + (std::numeric_limits<float>::max() / armnn::numeric_cast<float>(numElementsInAxis))); numElementsInAxis *= current; } if (numElementsInAxis > 0) { for (unsigned int idx = 0; idx < numOutputs; ++idx) { output[idx]; - output.Set(tempSum[idx] / boost::numeric_cast<float>(numElementsInAxis)); + output.Set(tempSum[idx] / armnn::numeric_cast<float>(numElementsInAxis)); } } } diff --git a/src/backends/reference/workloads/Pooling2d.cpp b/src/backends/reference/workloads/Pooling2d.cpp index be6ff387f3..c5633e8eba 100644 --- a/src/backends/reference/workloads/Pooling2d.cpp +++ b/src/backends/reference/workloads/Pooling2d.cpp @@ -11,8 +11,6 @@ #include <armnnUtils/DataLayoutIndexed.hpp> #include <armnn/utility/NumericCast.hpp> -#include <boost/numeric/conversion/cast.hpp> - #include <limits> #include <algorithm> #include <functional> @@ -208,7 +206,7 @@ void Pooling2d(Decoder<float>& rInputDecoder, wend = std::min(wend, widthInput + padRight); float result = defaultInitializer; - float poolAreaSize = boost::numeric_cast<float>(height * (wend - wstart)); + float poolAreaSize = armnn::numeric_cast<float>(height * (wend - wstart)); // Special case: when the pooling kernel is over a padding region and the padding // size is larger or equal to the kernel and the kernel only covers @@ -248,7 +246,7 @@ void Pooling2d(Decoder<float>& rInputDecoder, { // When we exclude the padding, it means we calculate with a smaller // kernel size, so I changed the divisor here. - poolAreaSize = boost::numeric_cast<float>((hend - hstart) * (wend - wstart)); + poolAreaSize = armnn::numeric_cast<float>((hend - hstart) * (wend - wstart)); } for (auto yInput = hstart; yInput < hend; yInput++) diff --git a/src/backends/reference/workloads/RefFakeQuantizationFloat32Workload.cpp b/src/backends/reference/workloads/RefFakeQuantizationFloat32Workload.cpp index aca3308974..cf355d35d2 100644 --- a/src/backends/reference/workloads/RefFakeQuantizationFloat32Workload.cpp +++ b/src/backends/reference/workloads/RefFakeQuantizationFloat32Workload.cpp @@ -9,7 +9,7 @@ #include "Profiling.hpp" -#include <boost/numeric/conversion/cast.hpp> +#include <armnn/utility/NumericCast.hpp> namespace armnn { @@ -17,7 +17,7 @@ namespace armnn void FakeQuantization(const float* inputData, float* outputData, uint32_t numElements, float min, float max) { float scale = (max - min) / 255.f; - int32_t offset = boost::numeric_cast<int32_t>((-min * 255.f) / (max - min)); + int32_t offset = armnn::numeric_cast<int32_t>((-min * 255.f) / (max - min)); for (uint32_t i = 0; i < numElements; i++) { diff --git a/src/backends/reference/workloads/Resize.cpp b/src/backends/reference/workloads/Resize.cpp index 16cdd4a2d0..b8bf1bceae 100644 --- a/src/backends/reference/workloads/Resize.cpp +++ b/src/backends/reference/workloads/Resize.cpp @@ -7,7 +7,7 @@ #include "TensorBufferArrayView.hpp" -#include <boost/numeric/conversion/cast.hpp> +#include <armnn/utility/NumericCast.hpp> #include <cmath> #include <algorithm> @@ -27,7 +27,7 @@ inline float Lerp(float a, float b, float w) inline double EuclideanDistance(float Xa, float Ya, const unsigned int Xb, const unsigned int Yb) { - return std::sqrt(pow(Xa - boost::numeric_cast<float>(Xb), 2) + pow(Ya - boost::numeric_cast<float>(Yb), 2)); + return std::sqrt(pow(Xa - armnn::numeric_cast<float>(Xb), 2) + pow(Ya - armnn::numeric_cast<float>(Yb), 2)); } inline float CalculateResizeScale(const unsigned int& InputSize, @@ -35,8 +35,8 @@ inline float CalculateResizeScale(const unsigned int& InputSize, const bool& AlignCorners) { return (AlignCorners && OutputSize > 1) - ? boost::numeric_cast<float>(InputSize - 1) / boost::numeric_cast<float>(OutputSize - 1) - : boost::numeric_cast<float>(InputSize) / boost::numeric_cast<float>(OutputSize); + ? armnn::numeric_cast<float>(InputSize - 1) / armnn::numeric_cast<float>(OutputSize - 1) + : armnn::numeric_cast<float>(InputSize) / armnn::numeric_cast<float>(OutputSize); } inline float PixelScaler(const unsigned int& Pixel, diff --git a/src/backends/reference/workloads/Slice.cpp b/src/backends/reference/workloads/Slice.cpp index e972524f11..d6836c6933 100644 --- a/src/backends/reference/workloads/Slice.cpp +++ b/src/backends/reference/workloads/Slice.cpp @@ -8,8 +8,6 @@ #include <armnn/utility/Assert.hpp> #include <armnn/utility/IgnoreUnused.hpp> -#include <boost/numeric/conversion/cast.hpp> - namespace armnn { |