ClBatchNormalizationFloatWorkload Class Reference

#include <ClBatchNormalizationFloatWorkload.hpp>

Inheritance diagram for ClBatchNormalizationFloatWorkload:

Collaboration diagram for ClBatchNormalizationFloatWorkload:

Public Member Functions
	ClBatchNormalizationFloatWorkload (const BatchNormalizationQueueDescriptor &descriptor, const WorkloadInfo &info, const arm_compute::CLCompileContext &clCompileContext)
void	Execute () const override
void	ReplaceInputTensorHandle (ITensorHandle *tensorHandle, unsigned int slot) override
void	ReplaceOutputTensorHandle (ITensorHandle *tensorHandle, unsigned int slot) override
Public Member Functions inherited from TypedWorkload< QueueDescriptor, armnn::DataType::Float16, armnn::DataType::Float32 >
	TypedWorkload (const QueueDescriptor &descriptor, const WorkloadInfo &info)
Public Member Functions inherited from BaseWorkload< QueueDescriptor >
	BaseWorkload (const QueueDescriptor &descriptor, const WorkloadInfo &info)
virtual const std::string &	GetName () const override
void	PostAllocationConfigure () override
const QueueDescriptor &	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 Attributes inherited from BaseWorkload< QueueDescriptor >
QueueDescriptor	m_Data
const arm::pipe::ProfilingGuid	m_Guid
const std::string	m_Name

Detailed Description

Definition at line 25 of file ClBatchNormalizationFloatWorkload.hpp.

Constructor & Destructor Documentation

ClBatchNormalizationFloatWorkload()

ClBatchNormalizationFloatWorkload	(	const BatchNormalizationQueueDescriptor &	descriptor,
		const WorkloadInfo &	info,
		const arm_compute::CLCompileContext &	clCompileContext )

Definition at line 54 of file ClBatchNormalizationFloatWorkload.cpp.

    : FloatWorkload<BatchNormalizationQueueDescriptor>(descriptor, info)
{
    // Report Profiling Details
    ARMNN_REPORT_PROFILING_WORKLOAD_DESC("ClBatchNormalizationWorkload_Construct",
                                         descriptor.m_Parameters,
                                         info,
                                         this->GetGuid());
 
    m_Mean = std::make_unique<arm_compute::CLTensor>();
    BuildArmComputeTensor(*m_Mean, m_Data.m_Mean->GetTensorInfo());
 
    m_Variance = std::make_unique<arm_compute::CLTensor>();
    BuildArmComputeTensor(*m_Variance, m_Data.m_Variance->GetTensorInfo());
 
    m_Gamma = std::make_unique<arm_compute::CLTensor>();
    BuildArmComputeTensor(*m_Gamma, m_Data.m_Gamma->GetTensorInfo());
 
    m_Beta = std::make_unique<arm_compute::CLTensor>();
    BuildArmComputeTensor(*m_Beta, m_Data.m_Beta->GetTensorInfo());
 
    m_Data.ValidateInputsOutputs("ClBatchNormalizationFloatWorkload", 1, 1);
 
    arm_compute::ICLTensor& input  = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
    arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(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);
 
    const arm_compute::ActivationLayerInfo activationInfo = ConvertAdditionalInfoToAclActivationLayerInfo(descriptor);
 
    {
        ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID("ClBatchNormalizationFloatWorkload_configure");
        m_Layer.configure(clCompileContext,
                          &input,
                          &output,
                          m_Mean.get(),
                          m_Variance.get(),
                          m_Beta.get(),
                          m_Gamma.get(),
                          m_Data.m_Parameters.m_Eps,
                          activationInfo);
    }
 
    InitializeArmComputeClTensorData(*m_Mean, m_Data.m_Mean);
    InitializeArmComputeClTensorData(*m_Variance, m_Data.m_Variance);
    InitializeArmComputeClTensorData(*m_Beta, m_Data.m_Beta);
    InitializeArmComputeClTensorData(*m_Gamma, m_Data.m_Gamma);
 
    // 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_SCOPED_PROFILING_EVENT_CL_NAME_GUID, armnn::ConvertAdditionalInfoToAclActivationLayerInfo(), armnn::info, armnn::InitializeArmComputeClTensorData(), BaseWorkload< QueueDescriptor >::m_Data, and QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters.

Member Function Documentation

Execute()

void Execute ( ) const

overridevirtual

Implements IWorkload.

Definition at line 113 of file ClBatchNormalizationFloatWorkload.cpp.

{
    ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID("ClBatchNormalizationFloatWorkload_Execute");
    RunClFunction(m_Layer, CHECK_LOCATION());
}

References ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID, CHECK_LOCATION, and armnn::RunClFunction().

ReplaceInputTensorHandle()

void ReplaceInputTensorHandle ( ITensorHandle * tensorHandle, unsigned int slot )

overridevirtual

Reimplemented from BaseWorkload< QueueDescriptor >.

Definition at line 127 of file ClBatchNormalizationFloatWorkload.cpp.

{
    ITensorHandle* backupHandle = this->m_Data.m_Inputs[slot];
    this->m_Data.m_Inputs[slot] = tensorHandle;
    try
    {
        Reconfigure();
    }
    catch(armnn::UnimplementedException& e)
    {
        // Cannot reconfigure, revert the slot back and throw the exception.
        this->m_Data.m_Inputs[slot] = backupHandle;
        throw e;
    }
}

References BaseWorkload< QueueDescriptor >::m_Data.

ReplaceOutputTensorHandle()

void ReplaceOutputTensorHandle ( ITensorHandle * tensorHandle, unsigned int slot )

overridevirtual

Reimplemented from BaseWorkload< QueueDescriptor >.

Definition at line 144 of file ClBatchNormalizationFloatWorkload.cpp.

{
    ITensorHandle* backupHandle = this->m_Data.m_Inputs[slot];
    this->m_Data.m_Inputs[slot] = tensorHandle;
    try
    {
        Reconfigure();
    }
    catch(armnn::UnimplementedException& e)
    {
        // Cannot reconfigure, revert the slot back and throw the exception.
        this->m_Data.m_Inputs[slot] = backupHandle;
        throw e;
    }
}

References BaseWorkload< QueueDescriptor >::m_Data.

---

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

• src/backends/cl/workloads/ClBatchNormalizationFloatWorkload.hpp
• src/backends/cl/workloads/ClBatchNormalizationFloatWorkload.cpp