CommonTestUtils.hpp File Reference

#include <Graph.hpp>
#include <SubgraphView.hpp>
#include <SubgraphViewSelector.hpp>
#include <ResolveType.hpp>
#include <armnn/BackendRegistry.hpp>
#include <armnn/Types.hpp>
#include <backendsCommon/CpuTensorHandle.hpp>
#include <test/TestUtils.hpp>
#include <algorithm>

Go to the source code of this file.

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)
template<typename ConvolutionLayer >
void	SetWeightAndBias (ConvolutionLayer *layer, const armnn::TensorInfo &weightInfo, const armnn::TensorInfo &biasInfo)
armnn::SubgraphView::InputSlots	CreateInputsFrom (const std::vector< armnn::Layer *> &layers)
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 26 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
	)

Definition at line 57 of file CommonTestUtils.hpp.

References armnn::Boolean.

{
    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;
}

Contains() [1/2]

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

Definition at line 43 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 50 of file CommonTestUtils.hpp.

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

CreateBackendObject()

armnn::IBackendInternalUniquePtr CreateBackendObject

(

const armnn::BackendId &

backendId

)

Definition at line 45 of file CommonTestUtils.cpp.

References armnn::BackendRegistryInstance().

Referenced by BOOST_AUTO_TEST_CASE(), and SetWeightAndBias().

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

    return backendObjPtr;
}

CreateInputsFrom()

armnn::SubgraphView::InputSlots CreateInputsFrom

(

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

layers

)

Definition at line 12 of file CommonTestUtils.cpp.

Referenced by BOOST_AUTO_TEST_CASE(), armnn::FuseLayerWithoutParameters(), armnn::FuseLayerWithParameters(), armnn::ReportUntouchedLayers(), and SetWeightAndBias().

{
    SubgraphView::InputSlots result;
    for (auto&& layer : layers)
    {
        for (auto&& it = layer->BeginInputSlots(); it != layer->EndInputSlots(); ++it)
        {
            result.push_back(&(*it));
        }
    }
    return result;
}

CreateOutputsFrom()

armnn::SubgraphView::OutputSlots CreateOutputsFrom

(

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

layers

)

Definition at line 25 of file CommonTestUtils.cpp.

Referenced by BOOST_AUTO_TEST_CASE(), armnn::FuseLayerWithoutParameters(), armnn::FuseLayerWithParameters(), armnn::ReportUntouchedLayers(), and SetWeightAndBias().

{
    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
	)

Definition at line 38 of file CommonTestUtils.cpp.

Referenced by BOOST_AUTO_TEST_CASE(), and SetWeightAndBias().

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

MakeTensorShape()

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

Definition at line 54 of file CommonTestUtils.cpp.

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

Referenced by SetWeightAndBias(), and TransposeConvolution2dEndToEnd().

{
    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));
    }
}

SetWeightAndBias()

void SetWeightAndBias	(	ConvolutionLayer *	layer,
		const armnn::TensorInfo &	weightInfo,
		const armnn::TensorInfo &	biasInfo
	)

Definition at line 73 of file CommonTestUtils.hpp.

References CreateBackendObject(), CreateInputsFrom(), CreateOutputsFrom(), CreateSubgraphViewFrom(), and MakeTensorShape().

{
    layer->m_Weight = std::make_unique<armnn::ScopedCpuTensorHandle>(weightInfo);
    layer->m_Bias   = std::make_unique<armnn::ScopedCpuTensorHandle>(biasInfo);

    layer->m_Weight->Allocate();
    layer->m_Bias->Allocate();
}