| // |
| // Copyright © 2017-2018,2020-2023 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "RefFakeQuantizationFloat32Workload.hpp" |
| |
| #include "RefWorkloadUtils.hpp" |
| |
| #include "Profiling.hpp" |
| |
| #include <armnn/utility/NumericCast.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 = armnn::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 |
| { |
| Execute(m_Data.m_Inputs, m_Data.m_Outputs); |
| } |
| |
| void RefFakeQuantizationFloat32Workload::ExecuteAsync(ExecutionData& executionData) |
| { |
| WorkingMemDescriptor* workingMemDescriptor = static_cast<WorkingMemDescriptor*>(executionData.m_Data); |
| Execute(workingMemDescriptor->m_Inputs, workingMemDescriptor->m_Outputs); |
| } |
| |
| void RefFakeQuantizationFloat32Workload::Execute(std::vector<ITensorHandle*> inputs, |
| std::vector<ITensorHandle*> outputs) const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID("RefFakeQuantizationFloat32Workload_Execute"); |
| |
| const TensorInfo& inputInfo = GetTensorInfo(inputs[0]); |
| |
| const float* inputData = reinterpret_cast<const float*>(inputs[0]->Map()); |
| float* outputData = reinterpret_cast<float*>(outputs[0]->Map()); |
| FakeQuantization(inputData, outputData, inputInfo.GetNumElements(), |
| m_Data.m_Parameters.m_Min, |
| m_Data.m_Parameters.m_Max); |
| } |
| |
| } //namespace armnn |