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author | telsoa01 <telmo.soares@arm.com> | 2018-03-09 14:13:49 +0000 |
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committer | telsoa01 <telmo.soares@arm.com> | 2018-03-09 14:13:49 +0000 |
commit | 4fcda0101ec3d110c1d6d7bee5c83416b645528a (patch) | |
tree | c9a70aeb2887006160c1b3d265c27efadb7bdbae /src/armnn/backends/RefWorkloads/RefFakeQuantizationFloat32Workload.cpp | |
download | armnn-4fcda0101ec3d110c1d6d7bee5c83416b645528a.tar.gz |
Release 18.02
Change-Id: Id3c11dc5ee94ef664374a988fcc6901e9a232fa6
Diffstat (limited to 'src/armnn/backends/RefWorkloads/RefFakeQuantizationFloat32Workload.cpp')
-rw-r--r-- | src/armnn/backends/RefWorkloads/RefFakeQuantizationFloat32Workload.cpp | 42 |
1 files changed, 42 insertions, 0 deletions
diff --git a/src/armnn/backends/RefWorkloads/RefFakeQuantizationFloat32Workload.cpp b/src/armnn/backends/RefWorkloads/RefFakeQuantizationFloat32Workload.cpp new file mode 100644 index 0000000000..483fa7e00e --- /dev/null +++ b/src/armnn/backends/RefWorkloads/RefFakeQuantizationFloat32Workload.cpp @@ -0,0 +1,42 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// See LICENSE file in the project root for full license information. +// + +#include "RefFakeQuantizationFloat32Workload.hpp" + +#include "RefWorkloadUtils.hpp" + +#include "Profiling.hpp" + +#include <boost/numeric/conversion/cast.hpp> + +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)); + + for (uint32_t i = 0; i < numElements; i++) + { + outputData[i] = static_cast<float>(armnn::Quantize<uint8_t>(inputData[i], scale, offset)); + } + +} + +void RefFakeQuantizationFloat32Workload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefFakeQuantizationFloat32Workload_Execute"); + + const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]); + + const float* inputData = GetInputTensorDataFloat(0, m_Data); + float* outputData = GetOutputTensorDataFloat(0, m_Data); + FakeQuantization(inputData, outputData, inputInfo.GetNumElements(), + m_Data.m_Parameters.m_Min, + m_Data.m_Parameters.m_Max); +} + +} //namespace armnn |