| // |
| // 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 |