RefStackWorkload Class Reference

#include <RefStackWorkload.hpp>

Inheritance diagram for RefStackWorkload:

Public Member Functions
	RefStackWorkload (const StackQueueDescriptor &descriptor, const WorkloadInfo &info)
virtual void	Execute () const override
Public Member Functions inherited from BaseWorkload< StackQueueDescriptor >
	BaseWorkload (const StackQueueDescriptor &descriptor, const WorkloadInfo &info)
void	PostAllocationConfigure () override
const StackQueueDescriptor &	GetData () const
profiling::ProfilingGuid	GetGuid () const final
Public Member Functions inherited from IWorkload
virtual	~IWorkload ()
virtual void	RegisterDebugCallback (const DebugCallbackFunction &)

Additional Inherited Members
Protected Attributes inherited from BaseWorkload< StackQueueDescriptor >
const StackQueueDescriptor	m_Data
const profiling::ProfilingGuid	m_Guid

Detailed Description

Definition at line 14 of file RefStackWorkload.hpp.

Constructor & Destructor Documentation

RefStackWorkload()

RefStackWorkload ( const StackQueueDescriptor &  descriptor, const WorkloadInfo &  info  )

explicit

Definition at line 16 of file RefStackWorkload.cpp.

    : BaseWorkload(descriptor, info)
{}

Member Function Documentation

Execute()

void Execute ( ) const

overridevirtual

Implements IWorkload.

Definition at line 21 of file RefStackWorkload.cpp.

References ARMNN_ASSERT, ARMNN_SCOPED_PROFILING_EVENT, armnn::CpuRef, TensorInfo::GetNumElements(), armnn::GetTensorInfo(), StackDescriptor::m_Axis, BaseWorkload< StackQueueDescriptor >::m_Data, QueueDescriptor::m_Inputs, StackDescriptor::m_NumInputs, QueueDescriptor::m_Outputs, QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters, and armnn::Stack.

{
    ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefStackWorkload_Execute");

    // Can perform a simple concatenation when axis == 0
    if (!m_Data.m_Parameters.m_Axis)
    {
        float* output = GetOutputTensorData<float>(0, m_Data);
        ARMNN_ASSERT(output != nullptr);

        unsigned int numInputs = m_Data.m_Parameters.m_NumInputs;
        unsigned int inputLength = GetTensorInfo(m_Data.m_Inputs[0]).GetNumElements();

        for (unsigned int inputIdx=0; inputIdx<numInputs; ++inputIdx)
        {
            const float* input = GetInputTensorData<float>(inputIdx, m_Data);
            for (unsigned int elmt=0; elmt<inputLength; ++elmt)
            {
                output[(inputIdx * inputLength) + elmt] = input[elmt];
            }
        }
        return;
    }

    std::vector<std::unique_ptr<Decoder<float>>> inputDecoders;
    for (unsigned int i=0; i<m_Data.m_Inputs.size(); ++i)
    {
        inputDecoders.push_back(MakeDecoder<float>(GetTensorInfo(m_Data.m_Inputs[i]),
                                                   m_Data.m_Inputs[i]->Map()));
    }
    std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(GetTensorInfo(m_Data.m_Outputs[0]),
                                                                       m_Data.m_Outputs[0]->Map());

    Stack(m_Data, inputDecoders, *outputEncoder);
}

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

• src/backends/reference/workloads/RefStackWorkload.hpp
• src/backends/reference/workloads/RefStackWorkload.cpp