NeonBatchNormalizationWorkload Class Reference

#include <NeonBatchNormalizationWorkload.hpp>

Inheritance diagram for NeonBatchNormalizationWorkload:

Collaboration diagram for NeonBatchNormalizationWorkload:

Public Member Functions
	NeonBatchNormalizationWorkload (const BatchNormalizationQueueDescriptor &descriptor, const WorkloadInfo &info)
virtual void	Execute () const override
Public Member Functions inherited from NeonBaseWorkload< BatchNormalizationQueueDescriptor >
	NeonBaseWorkload (const BatchNormalizationQueueDescriptor &descriptor, const WorkloadInfo &info)
void	ReplaceInputTensorHandle (ITensorHandle *tensorHandle, unsigned int slot) override
void	ReplaceOutputTensorHandle (ITensorHandle *tensorHandle, unsigned int slot) override
Public Member Functions inherited from BaseWorkload< BatchNormalizationQueueDescriptor >
	BaseWorkload (const BatchNormalizationQueueDescriptor &descriptor, const WorkloadInfo &info)
virtual const std::string &	GetName () const override
void	PostAllocationConfigure () override
const BatchNormalizationQueueDescriptor &	GetData () const
arm::pipe::ProfilingGuid	GetGuid () const final
virtual bool	SupportsTensorHandleReplacement () const override
Public Member Functions inherited from IWorkload
virtual	~IWorkload ()
virtual void	RegisterDebugCallback (const DebugCallbackFunction &)
virtual armnn::Optional< armnn::MemoryRequirements >	GetMemoryRequirements ()

Additional Inherited Members
Protected Member Functions inherited from NeonBaseWorkload< BatchNormalizationQueueDescriptor >
virtual void	Reconfigure ()
Protected Attributes inherited from BaseWorkload< BatchNormalizationQueueDescriptor >
BatchNormalizationQueueDescriptor	m_Data
const arm::pipe::ProfilingGuid	m_Guid
const std::string	m_Name

Detailed Description

Definition at line 27 of file NeonBatchNormalizationWorkload.hpp.

Constructor & Destructor Documentation

NeonBatchNormalizationWorkload()

NeonBatchNormalizationWorkload	(	const BatchNormalizationQueueDescriptor &	descriptor,
		const WorkloadInfo &	info )

Definition at line 59 of file NeonBatchNormalizationWorkload.cpp.

    : NeonBaseWorkload<BatchNormalizationQueueDescriptor>(descriptor, info)
{
    // Report Profiling Details
    ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonBatchNormalizationWorkload_Construct",
                                         descriptor.m_Parameters,
                                         info,
                                         this->GetGuid());
 
    m_Data.ValidateInputsOutputs("NeonBatchNormalizationWorkload", 1, 1);
 
    arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
    arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
 
    arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
    input.info()->set_data_layout(aclDataLayout);
    output.info()->set_data_layout(aclDataLayout);
 
    m_Mean = std::make_unique<arm_compute::Tensor>();
    BuildArmComputeTensor(*m_Mean, m_Data.m_Mean->GetTensorInfo());
 
    m_Variance = std::make_unique<arm_compute::Tensor>();
    BuildArmComputeTensor(*m_Variance, m_Data.m_Variance->GetTensorInfo());
 
    m_Gamma = std::make_unique<arm_compute::Tensor>();
    BuildArmComputeTensor(*m_Gamma, m_Data.m_Gamma->GetTensorInfo());
 
    m_Beta = std::make_unique<arm_compute::Tensor>();
    BuildArmComputeTensor(*m_Beta, m_Data.m_Beta->GetTensorInfo());
 
    const arm_compute::ActivationLayerInfo activationInfo = ConvertAdditionalInfoToAclActivationLayerInfo(descriptor);
 
    auto layer = std::make_unique<arm_compute::NEBatchNormalizationLayer>();
    layer->configure(&input,
                     &output,
                     m_Mean.get(),
                     m_Variance.get(),
                     m_Beta.get(),
                     m_Gamma.get(),
                     m_Data.m_Parameters.m_Eps,
                     activationInfo);
    m_Layer.reset(layer.release());
 
    InitializeArmComputeTensorData(*m_Mean, m_Data.m_Mean);
    InitializeArmComputeTensorData(*m_Variance, m_Data.m_Variance);
    InitializeArmComputeTensorData(*m_Gamma, m_Data.m_Gamma);
    InitializeArmComputeTensorData(*m_Beta, m_Data.m_Beta);
 
    // Force Compute Library to perform the necessary copying and reshaping, after which
    // delete all the input tensors that will no longer be needed
    m_Layer->prepare();
    FreeUnusedTensors();
}

References ARMNN_REPORT_PROFILING_WORKLOAD_DESC, armnn::ConvertAdditionalInfoToAclActivationLayerInfo(), armnn::info, armnn::InitializeArmComputeTensorData(), BaseWorkload< BatchNormalizationQueueDescriptor >::m_Data, QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters, NeonBaseWorkload< BatchNormalizationQueueDescriptor >::NeonBaseWorkload(), and armnn::PolymorphicDowncast().

Member Function Documentation

Execute()

void Execute ( ) const

overridevirtual

Implements IWorkload.

Definition at line 114 of file NeonBatchNormalizationWorkload.cpp.

{
    ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID("NeonBatchNormalizationWorkload_Execute");
    m_Layer->run();
}

References ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID.

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The documentation for this class was generated from the following files:

• src/backends/neon/workloads/NeonBatchNormalizationWorkload.hpp
• src/backends/neon/workloads/NeonBatchNormalizationWorkload.cpp