CommonTestUtils.hpp File Reference

#include "TestUtils.hpp"
#include <Graph.hpp>
#include <ResolveType.hpp>
#include <SubgraphViewSelector.hpp>
#include <armnn/BackendRegistry.hpp>
#include <armnn/Types.hpp>
#include <armnn/backends/SubgraphView.hpp>
#include <armnn/backends/TensorHandle.hpp>
#include <algorithm>
#include <random>
#include <vector>

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Functions
template<typename CollectionType >
bool	AreEqual (const CollectionType &lhs, const CollectionType &rhs)
template<typename CollectionType >
bool	Contains (const CollectionType &collection, const typename CollectionType::value_type &item)
template<typename MapType >
bool	Contains (const MapType &map, const typename MapType::key_type &key)
template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
bool	Compare (T a, T b, float tolerance=0.000001f)
armnn::SubgraphView::InputSlots	CreateInputsFrom (armnn::Layer *layer, std::vector< unsigned int > ignoreSlots={})
armnn::SubgraphView::InputSlots	CreateInputsFrom (const std::vector< armnn::Layer * > &layers, std::vector< unsigned int > ignoreSlots={})
armnn::SubgraphView::OutputSlots	CreateOutputsFrom (const std::vector< armnn::Layer * > &layers)
armnn::SubgraphView::SubgraphViewPtr	CreateSubgraphViewFrom (armnn::SubgraphView::InputSlots &&inputs, armnn::SubgraphView::OutputSlots &&outputs, armnn::SubgraphView::Layers &&layers)
armnn::IBackendInternalUniquePtr	CreateBackendObject (const armnn::BackendId &backendId)
armnn::TensorShape	MakeTensorShape (unsigned int batches, unsigned int channels, unsigned int height, unsigned int width, armnn::DataLayout layout)

Function Documentation

AreEqual()

bool AreEqual	(	const CollectionType &	lhs,
		const CollectionType &	rhs
	)

Definition at line 27 of file CommonTestUtils.hpp.

{
    if (lhs.size() != rhs.size())
    {
        return false;
    }
 
    auto lhs_it = std::find_if(lhs.begin(), lhs.end(), [&rhs](auto& item)
    {
        return std::find(rhs.begin(), rhs.end(), item) == rhs.end();
    });
 
    return lhs_it == lhs.end();
}

Compare()

bool Compare ( T  a, T  b, float  tolerance = 0.000001f  )

inline

Definition at line 58 of file CommonTestUtils.hpp.

{
    if (ArmnnType == armnn::DataType::Boolean)
    {
        // NOTE: Boolean is represented as uint8_t (with zero equals
        // false and everything else equals true), therefore values
        // need to be casted to bool before comparing them
        return static_cast<bool>(a) == static_cast<bool>(b);
    }
 
    // NOTE: All other types can be cast to float and compared with
    // a certain level of tolerance
    return std::fabs(static_cast<float>(a) - static_cast<float>(b)) <= tolerance;
}

References armnn::Boolean.

Contains() [1/2]

bool Contains	(	const CollectionType &	collection,
		const typename CollectionType::value_type &	item
	)

Definition at line 44 of file CommonTestUtils.hpp.

{
    return std::find(collection.begin(), collection.end(), item) != collection.end();
}

Contains() [2/2]

bool Contains	(	const MapType &	map,
		const typename MapType::key_type &	key
	)

Definition at line 51 of file CommonTestUtils.hpp.

{
    return map.find(key) != map.end();
}

CreateBackendObject()

armnn::IBackendInternalUniquePtr CreateBackendObject

(

const armnn::BackendId &

backendId

)

Definition at line 72 of file CommonTestUtils.cpp.

{
    auto& backendRegistry = BackendRegistryInstance();
    auto  backendFactory  = backendRegistry.GetFactory(backendId);
    auto  backendObjPtr   = backendFactory();
 
    return backendObjPtr;
}

References armnn::BackendRegistryInstance().

CreateInputsFrom() [1/2]

armnn::SubgraphView::InputSlots CreateInputsFrom	(	armnn::Layer *	layer,
		std::vector< unsigned int >	ignoreSlots = {}
	)

Definition at line 12 of file CommonTestUtils.cpp.

{
    SubgraphView::InputSlots result;
    for (auto&& it = layer->BeginInputSlots(); it != layer->EndInputSlots(); ++it)
    {
        if (std::find(ignoreSlots.begin(), ignoreSlots.end(), it->GetSlotIndex()) != ignoreSlots.end())
        {
            continue;
        }
        else
        {
            result.push_back(&(*it));
        }
    }
        return result;
}

References Layer::BeginInputSlots(), and Layer::EndInputSlots().

CreateInputsFrom() [2/2]

armnn::SubgraphView::InputSlots CreateInputsFrom	(	const std::vector< armnn::Layer * > &	layers,
		std::vector< unsigned int >	ignoreSlots = {}
	)

Definition at line 31 of file CommonTestUtils.cpp.

{
    SubgraphView::InputSlots result;
    for (auto&& layer: layers)
    {
        for (auto&& it = layer->BeginInputSlots(); it != layer->EndInputSlots(); ++it)
        {
            if (std::find(ignoreSlots.begin(), ignoreSlots.end(), it->GetSlotIndex()) != ignoreSlots.end())
            {
                continue;
            }
            else
            {
                result.push_back(&(*it));
            }
        }
    }
    return result;
}

CreateOutputsFrom()

armnn::SubgraphView::OutputSlots CreateOutputsFrom

(

const std::vector< armnn::Layer * > &

layers

)

Definition at line 52 of file CommonTestUtils.cpp.

{
    SubgraphView::OutputSlots result;
    for (auto && layer : layers)
    {
        for (auto&& it = layer->BeginOutputSlots(); it != layer->EndOutputSlots(); ++it)
        {
            result.push_back(&(*it));
        }
    }
    return result;
}

CreateSubgraphViewFrom()

armnn::SubgraphView::SubgraphViewPtr CreateSubgraphViewFrom ( armnn::SubgraphView::InputSlots &&  inputs, armnn::SubgraphView::OutputSlots &&  outputs, armnn::SubgraphView::Layers &&  layers  )

inline

Definition at line 65 of file CommonTestUtils.cpp.

{
    return std::make_unique<SubgraphView>(std::move(inputs), std::move(outputs), std::move(layers));
}

Referenced by GpuFsaBackend::OptimizeSubgraphView().

MakeTensorShape()

armnn::TensorShape MakeTensorShape	(	unsigned int	batches,
		unsigned int	channels,
		unsigned int	height,
		unsigned int	width,
		armnn::DataLayout	layout
	)

Definition at line 81 of file CommonTestUtils.cpp.

{
    using namespace armnn;
    switch (layout)
    {
        case DataLayout::NCHW:
            return TensorShape{ batches, channels, height, width };
        case DataLayout::NHWC:
            return TensorShape{ batches, height, width, channels };
        default:
            throw InvalidArgumentException(std::string("Unsupported data layout: ") + GetDataLayoutName(layout));
    }
}

References armnn::GetDataLayoutName(), armnn::NCHW, and armnn::NHWC.