FloorTestImpl.hpp File Reference

#include "LayerTestResult.hpp"
#include <ResolveType.hpp>
#include <armnn/backends/IBackendInternal.hpp>
#include <backendsCommon/WorkloadFactory.hpp>

Go to the source code of this file.

Functions
template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
LayerTestResult< T, 4 >	SimpleFloorTest (armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory)

Function Documentation

SimpleFloorTest()

LayerTestResult<T, 4> SimpleFloorTest	(	armnn::IWorkloadFactory &	workloadFactory,
		const armnn::IBackendInternal::IMemoryManagerSharedPtr &	memoryManager,
		const armnn::ITensorHandleFactory &	tensorHandleFactory
	)

Definition at line 15 of file FloorTestImpl.cpp.

References CopyDataFromITensorHandle(), CopyDataToITensorHandle(), IWorkloadFactory::CreateFloor(), ITensorHandleFactory::CreateTensorHandle(), TensorInfo::GetNumElements(), TensorInfo::GetShape(), armnn::IgnoreUnused(), and TensorInfo::SetQuantizationScale().

{
    IgnoreUnused(memoryManager);
    armnn::TensorInfo inputTensorInfo({1, 3, 2, 3}, ArmnnType);
    inputTensorInfo.SetQuantizationScale(0.1f);

    armnn::TensorInfo outputTensorInfo(inputTensorInfo);
    outputTensorInfo.SetQuantizationScale(0.1f);

    std::vector<T> input = ConvertToDataType<ArmnnType>(
        {
            -37.5f, -15.2f, -8.76f, -2.0f, -1.5f, -1.3f, -0.5f, -0.4f, 0.0f,
            1.0f, 0.4f, 0.5f, 1.3f, 1.5f, 2.0f, 8.76f, 15.2f, 37.5f
        },
        inputTensorInfo);

    std::vector<T> actualOutput(outputTensorInfo.GetNumElements());
    std::vector<T> expectedOutput = ConvertToDataType<ArmnnType>(
        {
            -38.0f, -16.0f, -9.0f, -2.0f, -2.0f, -2.0f, -1.0f, -1.0f, 0.0f,
            1.0f, 0.0f, 0.0f, 1.0f, 1.0f, 2.0f, 8.0f, 15.0f, 37.0f
        },
        outputTensorInfo);

    std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo);
    std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo);

    armnn::FloorQueueDescriptor data;
    armnn::WorkloadInfo info;
    AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());
    AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());

    std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateFloor(data, info);

    inputHandle->Allocate();
    outputHandle->Allocate();

    CopyDataToITensorHandle(inputHandle.get(), input.data());

    workload->Execute();

    CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get());

    return LayerTestResult<T, 4>(actualOutput,
                                 expectedOutput,
                                 outputHandle->GetShape(),
                                 outputTensorInfo.GetShape());
}