src/backends/backendsCommon/test/layerTests/GatherNdTestImpl.cpp - ml/armnn - Gitiles

 //
 // Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //

 #include "GatherNdTestImpl.hpp"

 #include <DataTypeUtils.hpp>
 #include <armnnTestUtils/TensorCopyUtils.hpp>
 #include <armnnTestUtils/WorkloadTestUtils.hpp>

 namespace
 {

 template<armnn::DataType ArmnnType,
         typename T = armnn::ResolveType<ArmnnType>,
         size_t ParamsDim,
         size_t IndicesDim,
         size_t OutputDim>
 LayerTestResult<T, OutputDim> GatherNdTestImpl(
         armnn::IWorkloadFactory &workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager,
         const armnn::ITensorHandleFactory &tensorHandleFactory,
         const armnn::TensorInfo &paramsInfo,
         const armnn::TensorInfo &indicesInfo,
         const armnn::TensorInfo &outputInfo,
         const std::vector<T> &paramsData,
         const std::vector<int32_t> &indicesData,
         const std::vector<T> &outputData)
 {
     IgnoreUnused(memoryManager);

     std::vector<T> actualOutput(outputInfo.GetNumElements());

     std::unique_ptr<armnn::ITensorHandle> paramsHandle = tensorHandleFactory.CreateTensorHandle(paramsInfo);
     std::unique_ptr<armnn::ITensorHandle> indicesHandle = tensorHandleFactory.CreateTensorHandle(indicesInfo);
     std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputInfo);

     armnn::GatherNdQueueDescriptor data;
     armnn::WorkloadInfo info;
     AddInputToWorkload(data, info, paramsInfo, paramsHandle.get());
     AddInputToWorkload(data, info, indicesInfo, indicesHandle.get());
     AddOutputToWorkload(data, info, outputInfo, outputHandle.get());

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

     paramsHandle->Allocate();
     indicesHandle->Allocate();
     outputHandle->Allocate();

     CopyDataToITensorHandle(paramsHandle.get(), paramsData.data());
     CopyDataToITensorHandle(indicesHandle.get(), indicesData.data());

     workload->Execute();

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

     return LayerTestResult<T, OutputDim>(actualOutput,
                                          outputData,
                                          outputHandle->GetShape(),
                                          outputInfo.GetShape());
 }
 } // anonymous namespace

 template<armnn::DataType ArmnnType, typename T>
 LayerTestResult<T, 2> SimpleGatherNd2dTest(
         armnn::IWorkloadFactory& workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
         const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     armnn::TensorInfo paramsInfo({ 5, 2 }, ArmnnType);
     armnn::TensorInfo indicesInfo({ 3, 1 }, armnn::DataType::Signed32);
     armnn::TensorInfo outputInfo({ 3, 2 }, ArmnnType);
     if (armnn::IsQuantizedType<T>())
     {
         paramsInfo.SetQuantizationScale(1.0f);
         paramsInfo.SetQuantizationOffset(1);
         outputInfo.SetQuantizationScale(1.0f);
         outputInfo.SetQuantizationOffset(1);
     }
     const std::vector<T> params = ConvertToDataType<ArmnnType>(
             { 1, 2,
               3, 4,
               5, 6,
               7, 8,
               9, 10},
             paramsInfo);
     const std::vector<int32_t> indices  = ConvertToDataType<armnn::DataType::Signed32>(
             { 1, 0, 4},
             indicesInfo);
     const std::vector<T> expectedOutput = ConvertToDataType<ArmnnType>(
             { 3, 4,
               1, 2,
               9, 10},
             outputInfo);
     return GatherNdTestImpl<ArmnnType, T, 2, 2, 2>(
             workloadFactory,
             memoryManager,
             tensorHandleFactory,
             paramsInfo,
             indicesInfo,
             outputInfo,
             params,
             indices,
             expectedOutput);
 }

 template<armnn::DataType ArmnnType, typename T>
 LayerTestResult<T, 3> SimpleGatherNd3dTest(
         armnn::IWorkloadFactory& workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
         const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     armnn::TensorInfo paramsInfo({ 2, 3, 8, 4 }, ArmnnType);
     armnn::TensorInfo indicesInfo({ 2, 2 }, armnn::DataType::Signed32);
     armnn::TensorInfo outputInfo({ 2, 8, 4 }, ArmnnType);

     if (armnn::IsQuantizedType<T>())
     {
         paramsInfo.SetQuantizationScale(1.0f);
         paramsInfo.SetQuantizationOffset(0);
         outputInfo.SetQuantizationScale(1.0f);
         outputInfo.SetQuantizationOffset(0);
     }
     const std::vector<T> params = ConvertToDataType<ArmnnType>(
             { 0,   1,   2,   3, 4,   5,   6,   7, 8,   9,  10,  11, 12,  13,  14,  15,
              16,  17,  18,  19, 20,  21,  22,  23, 24,  25,  26,  27, 28,  29,  30,  31,

              32,  33,  34,  35, 36,  37,  38,  39, 40,  41,  42,  43, 44,  45,  46,  47,
              48,  49,  50,  51, 52,  53,  54,  55, 56,  57,  58,  59, 60,  61,  62,  63,

              64,  65,  66,  67, 68,  69,  70,  71, 72,  73,  74,  75, 76,  77,  78,  79,
              80,  81,  82,  83, 84,  85,  86,  87, 88,  89,  90,  91, 92,  93,  94,  95,

              96,  97,  98,  99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111,
             112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127,

             128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143,
             144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159,

             160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175,
             176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191 },
             paramsInfo);

     const std::vector<int32_t> indices  = ConvertToDataType<armnn::DataType::Signed32>(
             { 1, 2, 1, 1},
             indicesInfo);

     const std::vector<T> expectedOutput = ConvertToDataType<ArmnnType>(
             { 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175,
             176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191,

             128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143,
             144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159},
             outputInfo);

     return GatherNdTestImpl<ArmnnType, T, 4, 2, 3>(
             workloadFactory,
             memoryManager,
             tensorHandleFactory,
             paramsInfo,
             indicesInfo,
             outputInfo,
             params,
             indices,
             expectedOutput);
 }

 template<armnn::DataType ArmnnType, typename T>
 LayerTestResult<T, 4> SimpleGatherNd4dTest(
         armnn::IWorkloadFactory& workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
         const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     armnn::TensorInfo paramsInfo({ 5, 5, 2 }, ArmnnType);
     armnn::TensorInfo indicesInfo({ 2, 2, 3, 2 }, armnn::DataType::Signed32);
     armnn::TensorInfo outputInfo({ 2, 2, 3, 2 }, ArmnnType);

     if (armnn::IsQuantizedType<T>())
     {
         paramsInfo.SetQuantizationScale(1.0f);
         paramsInfo.SetQuantizationOffset(0);
         outputInfo.SetQuantizationScale(1.0f);
         outputInfo.SetQuantizationOffset(0);
     }
     const std::vector<T> params = ConvertToDataType<ArmnnType>(
         { 0,  1,    2,  3,    4,  5,    6,  7,    8,  9,
          10, 11,   12,  13,   14, 15,   16, 17,   18, 19,
          20, 21,   22,  23,   24, 25,   26, 27,   28, 29,
          30, 31,   32,  33,   34, 35,   36, 37,   38, 39,
          40, 41,   42,  43,   44, 45,   46, 47,   48, 49 },
         paramsInfo);

     const std::vector<int32_t> indices  = ConvertToDataType<armnn::DataType::Signed32>(
         { 0, 0,
           3, 3,
           4, 4,

           0, 0,
           1, 1,
           2, 2,

           4, 4,
           3, 3,
           0, 0,

           2, 2,
           1, 1,
           0, 0 },
         indicesInfo);

     const std::vector<T> expectedOutput = ConvertToDataType<ArmnnType>(
         {  0,  1,
           36, 37,
           48, 49,

            0,  1,
           12, 13,
           24, 25,

           48, 49,
           36, 37,
            0,  1,

           24, 25,
           12, 13,
            0,  1 },
         outputInfo);

     return GatherNdTestImpl<ArmnnType, T, 3, 4, 4>(
             workloadFactory,
             memoryManager,
             tensorHandleFactory,
             paramsInfo,
             indicesInfo,
             outputInfo,
             params,
             indices,
             expectedOutput);
 }

 //
 // Explicit template specializations
 //

 template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
 SimpleGatherNd2dTest<armnn::DataType::Float32>(
         armnn::IWorkloadFactory& workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
         const armnn::ITensorHandleFactory& tensorHandleFactory);

 template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 3>
 SimpleGatherNd3dTest<armnn::DataType::Float32>(
         armnn::IWorkloadFactory& workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
         const armnn::ITensorHandleFactory& tensorHandleFactory);

 template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4>
 SimpleGatherNd4dTest<armnn::DataType::Float32>(
         armnn::IWorkloadFactory& workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
         const armnn::ITensorHandleFactory& tensorHandleFactory);

 template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 2>
 SimpleGatherNd2dTest<armnn::DataType::QAsymmS8>(
         armnn::IWorkloadFactory& workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
         const armnn::ITensorHandleFactory& tensorHandleFactory);

 template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 3>
 SimpleGatherNd3dTest<armnn::DataType::QAsymmS8>(
         armnn::IWorkloadFactory& workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
         const armnn::ITensorHandleFactory& tensorHandleFactory);

 template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 4>
 SimpleGatherNd4dTest<armnn::DataType::QAsymmS8>(
         armnn::IWorkloadFactory& workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
         const armnn::ITensorHandleFactory& tensorHandleFactory);

 template LayerTestResult<armnn::ResolveType<armnn::DataType::Signed32>, 2>
 SimpleGatherNd2dTest<armnn::DataType::Signed32>(
         armnn::IWorkloadFactory& workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
         const armnn::ITensorHandleFactory& tensorHandleFactory);

 template LayerTestResult<armnn::ResolveType<armnn::DataType::Signed32>, 3>
 SimpleGatherNd3dTest<armnn::DataType::Signed32>(
         armnn::IWorkloadFactory& workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
         const armnn::ITensorHandleFactory& tensorHandleFactory);

 template LayerTestResult<armnn::ResolveType<armnn::DataType::Signed32>, 4>
 SimpleGatherNd4dTest<armnn::DataType::Signed32>(
         armnn::IWorkloadFactory& workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
         const armnn::ITensorHandleFactory& tensorHandleFactory);
	//
	// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
	// SPDX-License-Identifier: MIT
	//

	#include "GatherNdTestImpl.hpp"

	#include <DataTypeUtils.hpp>
	#include <armnnTestUtils/TensorCopyUtils.hpp>
	#include <armnnTestUtils/WorkloadTestUtils.hpp>

	namespace
	{

	template<armnn::DataType ArmnnType,
	typename T = armnn::ResolveType<ArmnnType>,
	size_t ParamsDim,
	size_t IndicesDim,
	size_t OutputDim>
	LayerTestResult<T, OutputDim> GatherNdTestImpl(
	armnn::IWorkloadFactory &workloadFactory,
	const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager,
	const armnn::ITensorHandleFactory &tensorHandleFactory,
	const armnn::TensorInfo &paramsInfo,
	const armnn::TensorInfo &indicesInfo,
	const armnn::TensorInfo &outputInfo,
	const std::vector<T> &paramsData,
	const std::vector<int32_t> &indicesData,
	const std::vector<T> &outputData)
	{
	IgnoreUnused(memoryManager);

	std::vector<T> actualOutput(outputInfo.GetNumElements());

	std::unique_ptr<armnn::ITensorHandle> paramsHandle = tensorHandleFactory.CreateTensorHandle(paramsInfo);
	std::unique_ptr<armnn::ITensorHandle> indicesHandle = tensorHandleFactory.CreateTensorHandle(indicesInfo);
	std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputInfo);

	armnn::GatherNdQueueDescriptor data;
	armnn::WorkloadInfo info;
	AddInputToWorkload(data, info, paramsInfo, paramsHandle.get());
	AddInputToWorkload(data, info, indicesInfo, indicesHandle.get());
	AddOutputToWorkload(data, info, outputInfo, outputHandle.get());

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

	paramsHandle->Allocate();
	indicesHandle->Allocate();
	outputHandle->Allocate();

	CopyDataToITensorHandle(paramsHandle.get(), paramsData.data());
	CopyDataToITensorHandle(indicesHandle.get(), indicesData.data());

	workload->Execute();

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

	return LayerTestResult<T, OutputDim>(actualOutput,
	outputData,
	outputHandle->GetShape(),
	outputInfo.GetShape());
	}
	} // anonymous namespace

	template<armnn::DataType ArmnnType, typename T>
	LayerTestResult<T, 2> SimpleGatherNd2dTest(
	armnn::IWorkloadFactory& workloadFactory,
	const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
	const armnn::ITensorHandleFactory& tensorHandleFactory)
	{
	armnn::TensorInfo paramsInfo({ 5, 2 }, ArmnnType);
	armnn::TensorInfo indicesInfo({ 3, 1 }, armnn::DataType::Signed32);
	armnn::TensorInfo outputInfo({ 3, 2 }, ArmnnType);
	if (armnn::IsQuantizedType<T>())
	{
	paramsInfo.SetQuantizationScale(1.0f);
	paramsInfo.SetQuantizationOffset(1);
	outputInfo.SetQuantizationScale(1.0f);
	outputInfo.SetQuantizationOffset(1);
	}
	const std::vector<T> params = ConvertToDataType<ArmnnType>(
	{ 1, 2,
	3, 4,
	5, 6,
	7, 8,
	9, 10},
	paramsInfo);
	const std::vector<int32_t> indices = ConvertToDataType<armnn::DataType::Signed32>(
	{ 1, 0, 4},
	indicesInfo);
	const std::vector<T> expectedOutput = ConvertToDataType<ArmnnType>(
	{ 3, 4,
	1, 2,
	9, 10},
	outputInfo);
	return GatherNdTestImpl<ArmnnType, T, 2, 2, 2>(
	workloadFactory,
	memoryManager,
	tensorHandleFactory,
	paramsInfo,
	indicesInfo,
	outputInfo,
	params,
	indices,
	expectedOutput);
	}

	template<armnn::DataType ArmnnType, typename T>
	LayerTestResult<T, 3> SimpleGatherNd3dTest(
	armnn::IWorkloadFactory& workloadFactory,
	const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
	const armnn::ITensorHandleFactory& tensorHandleFactory)
	{
	armnn::TensorInfo paramsInfo({ 2, 3, 8, 4 }, ArmnnType);
	armnn::TensorInfo indicesInfo({ 2, 2 }, armnn::DataType::Signed32);
	armnn::TensorInfo outputInfo({ 2, 8, 4 }, ArmnnType);

	if (armnn::IsQuantizedType<T>())
	{
	paramsInfo.SetQuantizationScale(1.0f);
	paramsInfo.SetQuantizationOffset(0);
	outputInfo.SetQuantizationScale(1.0f);
	outputInfo.SetQuantizationOffset(0);
	}
	const std::vector<T> params = ConvertToDataType<ArmnnType>(
	{ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,
	16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31,

	32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47,
	48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63,

	64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79,
	80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95,

	96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111,
	112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127,

	128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143,
	144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159,

	160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175,
	176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191 },
	paramsInfo);

	const std::vector<int32_t> indices = ConvertToDataType<armnn::DataType::Signed32>(
	{ 1, 2, 1, 1},
	indicesInfo);

	const std::vector<T> expectedOutput = ConvertToDataType<ArmnnType>(
	{ 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175,
	176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191,

	128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143,
	144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159},
	outputInfo);

	return GatherNdTestImpl<ArmnnType, T, 4, 2, 3>(
	workloadFactory,
	memoryManager,
	tensorHandleFactory,
	paramsInfo,
	indicesInfo,
	outputInfo,
	params,
	indices,
	expectedOutput);
	}

	template<armnn::DataType ArmnnType, typename T>
	LayerTestResult<T, 4> SimpleGatherNd4dTest(
	armnn::IWorkloadFactory& workloadFactory,
	const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
	const armnn::ITensorHandleFactory& tensorHandleFactory)
	{
	armnn::TensorInfo paramsInfo({ 5, 5, 2 }, ArmnnType);
	armnn::TensorInfo indicesInfo({ 2, 2, 3, 2 }, armnn::DataType::Signed32);
	armnn::TensorInfo outputInfo({ 2, 2, 3, 2 }, ArmnnType);

	if (armnn::IsQuantizedType<T>())
	{
	paramsInfo.SetQuantizationScale(1.0f);
	paramsInfo.SetQuantizationOffset(0);
	outputInfo.SetQuantizationScale(1.0f);
	outputInfo.SetQuantizationOffset(0);
	}
	const std::vector<T> params = ConvertToDataType<ArmnnType>(
	{ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9,
	10, 11, 12, 13, 14, 15, 16, 17, 18, 19,
	20, 21, 22, 23, 24, 25, 26, 27, 28, 29,
	30, 31, 32, 33, 34, 35, 36, 37, 38, 39,
	40, 41, 42, 43, 44, 45, 46, 47, 48, 49 },
	paramsInfo);

	const std::vector<int32_t> indices = ConvertToDataType<armnn::DataType::Signed32>(
	{ 0, 0,
	3, 3,
	4, 4,

	0, 0,
	1, 1,
	2, 2,

	4, 4,
	3, 3,
	0, 0,

	2, 2,
	1, 1,
	0, 0 },
	indicesInfo);

	const std::vector<T> expectedOutput = ConvertToDataType<ArmnnType>(
	{ 0, 1,
	36, 37,
	48, 49,

	0, 1,
	12, 13,
	24, 25,

	48, 49,
	36, 37,
	0, 1,

	24, 25,
	12, 13,
	0, 1 },
	outputInfo);

	return GatherNdTestImpl<ArmnnType, T, 3, 4, 4>(
	workloadFactory,
	memoryManager,
	tensorHandleFactory,
	paramsInfo,
	indicesInfo,
	outputInfo,
	params,
	indices,
	expectedOutput);
	}

	//
	// Explicit template specializations
	//

	template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
	SimpleGatherNd2dTest<armnn::DataType::Float32>(
	armnn::IWorkloadFactory& workloadFactory,
	const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
	const armnn::ITensorHandleFactory& tensorHandleFactory);

	template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 3>
	SimpleGatherNd3dTest<armnn::DataType::Float32>(
	armnn::IWorkloadFactory& workloadFactory,
	const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
	const armnn::ITensorHandleFactory& tensorHandleFactory);

	template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4>
	SimpleGatherNd4dTest<armnn::DataType::Float32>(
	armnn::IWorkloadFactory& workloadFactory,
	const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
	const armnn::ITensorHandleFactory& tensorHandleFactory);

	template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 2>
	SimpleGatherNd2dTest<armnn::DataType::QAsymmS8>(
	armnn::IWorkloadFactory& workloadFactory,
	const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
	const armnn::ITensorHandleFactory& tensorHandleFactory);

	template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 3>
	SimpleGatherNd3dTest<armnn::DataType::QAsymmS8>(
	armnn::IWorkloadFactory& workloadFactory,
	const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
	const armnn::ITensorHandleFactory& tensorHandleFactory);

	template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 4>
	SimpleGatherNd4dTest<armnn::DataType::QAsymmS8>(
	armnn::IWorkloadFactory& workloadFactory,
	const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
	const armnn::ITensorHandleFactory& tensorHandleFactory);

	template LayerTestResult<armnn::ResolveType<armnn::DataType::Signed32>, 2>
	SimpleGatherNd2dTest<armnn::DataType::Signed32>(
	armnn::IWorkloadFactory& workloadFactory,
	const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
	const armnn::ITensorHandleFactory& tensorHandleFactory);

	template LayerTestResult<armnn::ResolveType<armnn::DataType::Signed32>, 3>
	SimpleGatherNd3dTest<armnn::DataType::Signed32>(
	armnn::IWorkloadFactory& workloadFactory,
	const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
	const armnn::ITensorHandleFactory& tensorHandleFactory);

	template LayerTestResult<armnn::ResolveType<armnn::DataType::Signed32>, 4>
	SimpleGatherNd4dTest<armnn::DataType::Signed32>(
	armnn::IWorkloadFactory& workloadFactory,
	const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
	const armnn::ITensorHandleFactory& tensorHandleFactory);