| // |
| // Copyright © 2017,2019-2023 Arm Ltd and Contributors. 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) |
| : RefBaseWorkload(descriptor, info) |
| , m_Mean (std::make_unique<ScopedTensorHandle>(*(descriptor.m_Mean))) |
| , m_Variance(std::make_unique<ScopedTensorHandle>(*(descriptor.m_Variance))) |
| , m_Beta (std::make_unique<ScopedTensorHandle>(*(descriptor.m_Beta))) |
| , m_Gamma (std::make_unique<ScopedTensorHandle>(*(descriptor.m_Gamma))) |
| {} |
| |
| void RefBatchNormalizationWorkload::Execute() const |
| { |
| Execute(m_Data.m_Inputs, m_Data.m_Outputs); |
| } |
| |
| void RefBatchNormalizationWorkload::ExecuteAsync(ExecutionData& executionData) |
| { |
| WorkingMemDescriptor* workingMemDescriptor = static_cast<WorkingMemDescriptor*>(executionData.m_Data); |
| Execute(workingMemDescriptor->m_Inputs, workingMemDescriptor->m_Outputs); |
| } |
| |
| void RefBatchNormalizationWorkload::Execute(std::vector<ITensorHandle*> inputs, |
| std::vector<ITensorHandle*> outputs) const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID("RefBatchNormalizationWorkload_Execute"); |
| |
| std::unique_ptr<Decoder<float>> meanDecoder = MakeDecoder<float>(m_Mean->GetTensorInfo(), |
| m_Mean->Map(true)); |
| std::unique_ptr<Decoder<float>> varianceDecoder = MakeDecoder<float>(m_Variance->GetTensorInfo(), |
| m_Variance->Map(true)); |
| std::unique_ptr<Decoder<float>> gammaDecoder = MakeDecoder<float>(m_Gamma->GetTensorInfo(), |
| m_Gamma->Map(true)); |
| std::unique_ptr<Decoder<float>> betaDecoder = MakeDecoder<float>(m_Beta->GetTensorInfo(), |
| m_Beta->Map(true)); |
| std::unique_ptr<Decoder<float>> inputDecoder = MakeDecoder<float>(GetTensorInfo(inputs[0]), |
| inputs[0]->Map()); |
| std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(GetTensorInfo(outputs[0]), |
| outputs[0]->Map()); |
| |
| BatchNormImpl(m_Data, *meanDecoder, *varianceDecoder, *betaDecoder, *gammaDecoder, *inputDecoder, *outputEncoder); |
| } |
| |
| } // namespace armnn |