diff options
Diffstat (limited to 'src/backends/RefWorkloads/RefBatchNormalizationUint8Workload.cpp')
-rw-r--r-- | src/backends/RefWorkloads/RefBatchNormalizationUint8Workload.cpp | 47 |
1 files changed, 47 insertions, 0 deletions
diff --git a/src/backends/RefWorkloads/RefBatchNormalizationUint8Workload.cpp b/src/backends/RefWorkloads/RefBatchNormalizationUint8Workload.cpp new file mode 100644 index 0000000000..e248ad4b9d --- /dev/null +++ b/src/backends/RefWorkloads/RefBatchNormalizationUint8Workload.cpp @@ -0,0 +1,47 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "RefBatchNormalizationUint8Workload.hpp" + +#include "BatchNormImpl.hpp" +#include "RefWorkloadUtils.hpp" + +#include "Profiling.hpp" + +#include <vector> + +namespace armnn +{ +RefBatchNormalizationUint8Workload::RefBatchNormalizationUint8Workload( + const BatchNormalizationQueueDescriptor& descriptor, const WorkloadInfo& info) + : Uint8Workload<BatchNormalizationQueueDescriptor>(descriptor, info), + m_Mean(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Mean))), + m_Variance(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Variance))), + m_Beta(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Beta))), + m_Gamma(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Gamma))) {} + +void RefBatchNormalizationUint8Workload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefBatchNormalizationUint8Workload_Execute"); + + const TensorInfo& inputInfo0 = GetTensorInfo(m_Data.m_Inputs[0]); + const TensorInfo& varInfo = GetTensorInfo(m_Variance.get()); + const TensorInfo& meanInfo = GetTensorInfo(m_Mean.get()); + const TensorInfo& gammaInfo = GetTensorInfo(m_Gamma.get()); + const TensorInfo& betaInfo = GetTensorInfo(m_Beta.get()); + const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]); + + auto input = Dequantize(GetInputTensorDataU8(0, m_Data), inputInfo0); + auto var = Dequantize(m_Variance->GetConstTensor<uint8_t>(), varInfo); + auto mean = Dequantize(m_Mean->GetConstTensor<uint8_t>(), meanInfo); + auto gamma = Dequantize(m_Gamma->GetConstTensor<uint8_t>(), gammaInfo); + auto beta = Dequantize(m_Beta->GetConstTensor<uint8_t>(), betaInfo); + + std::vector<float> results(outputInfo.GetNumElements()); + BatchNormImpl(m_Data, var.data(), mean.data(), gamma.data(), beta.data(), results.data(), input.data()); + Quantize(GetOutputTensorDataU8(0, m_Data), results.data(), outputInfo); +} + +} //namespace armnn |