From b4540bef0b0327683fe8e63f727c1212800dc2a9 Mon Sep 17 00:00:00 2001 From: David Beck Date: Mon, 24 Sep 2018 13:18:27 +0100 Subject: IVGCVSW-1898 : Ref backend folder structure * Reference backend is renamed to backends/reference as per https://confluence.arm.com/display/MLENG/Pluggable+backends Change-Id: I27a13c274eb60995dfb459e3c49c0e2f60bcd32c --- .../RefBatchNormalizationFloat32Workload.cpp | 38 ++++++++++++++++++++++ 1 file changed, 38 insertions(+) create mode 100644 src/backends/reference/workloads/RefBatchNormalizationFloat32Workload.cpp (limited to 'src/backends/reference/workloads/RefBatchNormalizationFloat32Workload.cpp') diff --git a/src/backends/reference/workloads/RefBatchNormalizationFloat32Workload.cpp b/src/backends/reference/workloads/RefBatchNormalizationFloat32Workload.cpp new file mode 100644 index 0000000000..313af9c438 --- /dev/null +++ b/src/backends/reference/workloads/RefBatchNormalizationFloat32Workload.cpp @@ -0,0 +1,38 @@ +// +// 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(descriptor, info), + m_Mean(std::make_unique(*(descriptor.m_Mean))), + m_Variance(std::make_unique(*(descriptor.m_Variance))), + m_Beta(std::make_unique(*(descriptor.m_Beta))), + m_Gamma(std::make_unique(*(descriptor.m_Gamma))) {} + +void RefBatchNormalizationFloat32Workload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefBatchNormalizationFloat32Workload_Execute"); + + const float* var = m_Variance->GetConstTensor(); + const float* mean = m_Mean->GetConstTensor(); + const float* gamma = m_Gamma->GetConstTensor(); + const float* beta = m_Beta->GetConstTensor(); + + auto inputData = GetInputTensorDataFloat(0, m_Data); + auto outputData = GetOutputTensorDataFloat(0, m_Data); + + BatchNormImpl(m_Data, var, mean, gamma, beta, outputData, inputData); +} + +} //namespace armnn -- cgit v1.2.1