TypedWorkload< QueueDescriptor, DataTypes > Class Template Reference

#include <Workload.hpp>

Inheritance diagram for TypedWorkload< QueueDescriptor, DataTypes >:

Collaboration diagram for TypedWorkload< QueueDescriptor, DataTypes >:

Public Member Functions
	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	ExecuteAsync (ExecutionData &executionData) override
void	PostAllocationConfigure () override
const QueueDescriptor &	GetData () const
arm::pipe::ProfilingGuid	GetGuid () const final
virtual bool	SupportsTensorHandleReplacement () const override
void	ReplaceInputTensorHandle (ITensorHandle *tensorHandle, unsigned int slot) override
void	ReplaceOutputTensorHandle (ITensorHandle *tensorHandle, unsigned int slot) override
Public Member Functions inherited from IWorkload
virtual	~IWorkload ()
virtual void	Execute () const =0
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

template<typename QueueDescriptor, armnn::DataType... DataTypes>
class armnn::TypedWorkload< QueueDescriptor, DataTypes >

Definition at line 101 of file Workload.hpp.

Constructor & Destructor Documentation

TypedWorkload()

TypedWorkload ( const QueueDescriptor &  descriptor, const WorkloadInfo &  info  )

inline

Definition at line 105 of file Workload.hpp.

        : BaseWorkload<QueueDescriptor>(descriptor, info)
    {
        std::vector<armnn::DataType> dataTypes = {DataTypes...};
        armnn::DataType expectedInputType;
 
        if (!info.m_InputTensorInfos.empty())
        {
            expectedInputType = info.m_InputTensorInfos.front().GetDataType();
 
            if (std::find(dataTypes.begin(), dataTypes.end(), expectedInputType) == dataTypes.end())
            {
                throw armnn::Exception("Trying to create workload with incorrect type");
            }
            if (std::all_of(std::next(info.m_InputTensorInfos.begin()),
                                         info.m_InputTensorInfos.end(),
                                         [&](auto it){
                                             return it.GetDataType() == expectedInputType;
                                         }) == false)
            {
                throw armnn::Exception("Trying to create workload with incorrect type");
            }
        }
        armnn::DataType expectedOutputType;
 
        if (!info.m_OutputTensorInfos.empty())
        {
            expectedOutputType = info.m_OutputTensorInfos.front().GetDataType();
 
            if (!info.m_InputTensorInfos.empty())
            {
                expectedInputType = info.m_InputTensorInfos.front().GetDataType();
 
                if (expectedOutputType != expectedInputType)
                {
                    throw armnn::Exception( "Trying to create workload with incorrect type");
                }
            }
            else if (std::find(dataTypes.begin(), dataTypes.end(), expectedOutputType) == dataTypes.end())
            {
                throw armnn::Exception("Trying to create workload with incorrect type");
            }
            if (std::all_of(std::next(info.m_OutputTensorInfos.begin()),
                                         info.m_OutputTensorInfos.end(),
                                         [&](auto it){
                                             return it.GetDataType() == expectedOutputType;
                                         }) == false)
            {
                throw armnn::Exception("Trying to create workload with incorrect type");
            }
        }
    }

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

• include/armnn/backends/Workload.hpp