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Diffstat (limited to 'src/backends/reference/workloads/RefBatchNormalizationWorkload.cpp')
-rw-r--r-- | src/backends/reference/workloads/RefBatchNormalizationWorkload.cpp | 45 |
1 files changed, 45 insertions, 0 deletions
diff --git a/src/backends/reference/workloads/RefBatchNormalizationWorkload.cpp b/src/backends/reference/workloads/RefBatchNormalizationWorkload.cpp new file mode 100644 index 0000000000..b43b104459 --- /dev/null +++ b/src/backends/reference/workloads/RefBatchNormalizationWorkload.cpp @@ -0,0 +1,45 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "RefBatchNormalizationWorkload.hpp" + +#include "BatchNormImpl.hpp" +#include "RefWorkloadUtils.hpp" + +#include "Profiling.hpp" + +namespace armnn +{ + +RefBatchNormalizationWorkload::RefBatchNormalizationWorkload(const BatchNormalizationQueueDescriptor& descriptor, + const WorkloadInfo& info) + : BaseWorkload(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 RefBatchNormalizationWorkload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefBatchNormalizationWorkload_Execute"); + + std::unique_ptr<Decoder<float>> meanDecoder = MakeDecoder<float>(GetTensorInfo(m_Mean.get()), + m_Mean.get()->Map(true)); + std::unique_ptr<Decoder<float>> varianceDecoder = MakeDecoder<float>(GetTensorInfo(m_Variance.get()), + m_Variance.get()->Map(true)); + std::unique_ptr<Decoder<float>> gammaDecoder = MakeDecoder<float>(GetTensorInfo(m_Gamma.get()), + m_Gamma.get()->Map(true)); + std::unique_ptr<Decoder<float>> betaDecoder = MakeDecoder<float>(GetTensorInfo(m_Beta.get()), + m_Beta.get()->Map(true)); + std::unique_ptr<Decoder<float>> inputDecoder = MakeDecoder<float>(GetTensorInfo(m_Data.m_Inputs[0]), + m_Data.m_Inputs[0]->Map()); + std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(GetTensorInfo(m_Data.m_Outputs[0]), + m_Data.m_Outputs[0]->Map()); + + BatchNormImpl(m_Data, *meanDecoder, *varianceDecoder, *betaDecoder, *gammaDecoder, *inputDecoder, *outputEncoder); +} + +} //namespace armnn |