ReshapeTestImpl.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 >	SimpleReshapeTest (armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)
template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
LayerTestResult< T, 5 >	Reshape5dTest (armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)

Function Documentation

Reshape5dTest()

LayerTestResult<T, 5> Reshape5dTest	(	armnn::IWorkloadFactory &	workloadFactory,
		const armnn::IBackendInternal::IMemoryManagerSharedPtr &	memoryManager
	)

Definition at line 111 of file ReshapeTestImpl.cpp.

References TensorInfo::SetQuantizationScale().

{
    armnn::TensorInfo inputTensorInfo;
    armnn::TensorInfo outputTensorInfo;

    unsigned int inputShape[] = { 2, 2, 8, 1, 1 };
    unsigned int outputShape[] = { 2, 2, 2, 2, 2 };

    inputTensorInfo = armnn::TensorInfo(5, inputShape, ArmnnType);
    inputTensorInfo.SetQuantizationScale(1.0f);
    outputTensorInfo = armnn::TensorInfo(5, outputShape, ArmnnType);
    outputTensorInfo.SetQuantizationScale(1.0f);

    auto input = ConvertToDataType<ArmnnType>(
        {
            0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f,
            8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f,

            16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f,
            24.0f, 25.0f, 26.0f, 27.0f, 28.0f, 29.0f, 30.0f, 31.0f,
        },
        inputTensorInfo);

    auto outputExpected = ConvertToDataType<ArmnnType>(
        {
            0.0f, 1.0f,
            2.0f, 3.0f,

            4.0f, 5.0f,
            6.0f, 7.0f,


            8.0f, 9.0f,
            10.0f, 11.0f,

            12.0f, 13.0f,
            14.0f, 15.0f,



            16.0f, 17.0f,
            18.0f, 19.0f,

            20.0f, 21.0f,
            22.0f, 23.0f,


            24.0f, 25.0f,
            26.0f, 27.0f,

            28.0f, 29.0f,
            30.0f, 31.0f,
        },
        outputTensorInfo);

    return SimpleReshapeTestImpl<T, 5>(
        workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected);
}

SimpleReshapeTest()

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

Definition at line 59 of file ReshapeTestImpl.cpp.

References TensorInfo::SetQuantizationScale().

{
    armnn::TensorInfo inputTensorInfo;
    armnn::TensorInfo outputTensorInfo;

    unsigned int inputShape[] = { 2, 2, 3, 3 };
    unsigned int outputShape[] = { 2, 2, 9, 1 };

    inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType);
    inputTensorInfo.SetQuantizationScale(1.0f);
    outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType);
    outputTensorInfo.SetQuantizationScale(1.0f);

    auto input = ConvertToDataType<ArmnnType>(
        {
            0.0f, 1.0f, 2.0f,
            3.0f, 4.0f, 5.0f,
            6.0f, 7.0f, 8.0f,

            9.0f, 10.0f, 11.0f,
            12.0f, 13.0f, 14.0f,
            15.0f, 16.0f, 17.0f,

            18.0f, 19.0f, 20.0f,
            21.0f, 22.0f, 23.0f,
            24.0f, 25.0f, 26.0f,

            27.0f, 28.0f, 29.0f,
            30.0f, 31.0f, 32.0f,
            33.0f, 34.0f, 35.0f,
        },
        inputTensorInfo);

    auto outputExpected = ConvertToDataType<ArmnnType>(
        {
            0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f,

            9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f,

            18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f, 25.0f, 26.0f,

            27.0f, 28.0f, 29.0f, 30.0f, 31.0f, 32.0f, 33.0f, 34.0f, 35.0f,
        },
        outputTensorInfo);

    return SimpleReshapeTestImpl<T, 4>(
        workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected);
}