| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "RefBatchNormalizationFloat32Workload.hpp" |
| |
| #include "BatchNormImpl.hpp" |
| #include "RefWorkloadUtils.hpp" |
| |
| #include "Profiling.hpp" |
| |
| namespace armnn |
| { |
| RefBatchNormalizationFloat32Workload::RefBatchNormalizationFloat32Workload( |
| const BatchNormalizationQueueDescriptor& descriptor, const WorkloadInfo& info) |
| : Float32Workload<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 RefBatchNormalizationFloat32Workload::Execute() const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefBatchNormalizationFloat32Workload_Execute"); |
| |
| const float* var = m_Variance->GetConstTensor<float>(); |
| const float* mean = m_Mean->GetConstTensor<float>(); |
| const float* gamma = m_Gamma->GetConstTensor<float>(); |
| const float* beta = m_Beta->GetConstTensor<float>(); |
| |
| auto inputData = GetInputTensorDataFloat(0, m_Data); |
| auto outputData = GetOutputTensorDataFloat(0, m_Data); |
| |
| BatchNormImpl(m_Data, var, mean, gamma, beta, outputData, inputData); |
| } |
| |
| } //namespace armnn |