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Diffstat (limited to 'src/armnn/backends/RefWorkloads/RefBatchNormalizationFloat32Workload.cpp')
-rw-r--r-- | src/armnn/backends/RefWorkloads/RefBatchNormalizationFloat32Workload.cpp | 31 |
1 files changed, 31 insertions, 0 deletions
diff --git a/src/armnn/backends/RefWorkloads/RefBatchNormalizationFloat32Workload.cpp b/src/armnn/backends/RefWorkloads/RefBatchNormalizationFloat32Workload.cpp new file mode 100644 index 0000000000..c421b0f212 --- /dev/null +++ b/src/armnn/backends/RefWorkloads/RefBatchNormalizationFloat32Workload.cpp @@ -0,0 +1,31 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// See LICENSE file in the project root for full license information. +// + +#include "RefBatchNormalizationFloat32Workload.hpp" + +#include "BatchNormImpl.hpp" +#include "RefWorkloadUtils.hpp" + +#include "Profiling.hpp" + +namespace armnn +{ + +void RefBatchNormalizationFloat32Workload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefBatchNormalizationFloat32Workload_Execute"); + + const float* var = m_Data.m_Variance->GetConstTensor<float>(); + const float* mean = m_Data.m_Mean->GetConstTensor<float>(); + const float* gamma = m_Data.m_Gamma->GetConstTensor<float>(); + const float* beta = m_Data.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 |