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Diffstat (limited to 'src/backends/backendsCommon/test/GatherTestImpl.hpp')
| -rw-r--r-- | src/backends/backendsCommon/test/GatherTestImpl.hpp | 151 |
1 files changed, 0 insertions, 151 deletions
diff --git a/src/backends/backendsCommon/test/GatherTestImpl.hpp b/src/backends/backendsCommon/test/GatherTestImpl.hpp deleted file mode 100644 index 8fbfeeae3d..0000000000 --- a/src/backends/backendsCommon/test/GatherTestImpl.hpp +++ /dev/null @@ -1,151 +0,0 @@ -// -// Copyright © 2017 Arm Ltd. All rights reserved. -// SPDX-License-Identifier: MIT -// -#pragma once - -#include "WorkloadTestUtils.hpp" - -#include <armnn/Types.hpp> -#include <backendsCommon/CpuTensorHandle.hpp> -#include <backendsCommon/IBackendInternal.hpp> -#include <backendsCommon/WorkloadFactory.hpp> - -template <armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>, - unsigned int paramsDim, unsigned int indicesDim, unsigned int OutputDim> -LayerTestResult<T, OutputDim> GatherTestImpl( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, - 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) -{ - auto params = MakeTensor<T, paramsDim>(paramsInfo, paramsData); - auto indices = MakeTensor<int32_t, indicesDim>(indicesInfo, indicesData); - - LayerTestResult<T, OutputDim> result(outputInfo); - result.outputExpected = MakeTensor<T, OutputDim>(outputInfo, outputData); - - std::unique_ptr<armnn::ITensorHandle> paramsHandle = workloadFactory.CreateTensorHandle(paramsInfo); - std::unique_ptr<armnn::ITensorHandle> indicesHandle = workloadFactory.CreateTensorHandle(indicesInfo); - std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputInfo); - - armnn::GatherQueueDescriptor 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.CreateGather(data, info); - - paramsHandle->Allocate(); - indicesHandle->Allocate(); - outputHandle->Allocate(); - - CopyDataToITensorHandle(paramsHandle.get(), params.origin()); - CopyDataToITensorHandle(indicesHandle.get(), indices.origin()); - - workload->Execute(); - - CopyDataFromITensorHandle(result.output.origin(), outputHandle.get()); - - return result; -} - -template <armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> -LayerTestResult<T, 1> Gather1DParamsTestImpl(armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - armnn::TensorInfo paramsInfo({ 8 }, ArmnnType); - armnn::TensorInfo indicesInfo({ 4 }, armnn::DataType::Signed32); - armnn::TensorInfo outputInfo({ 4 }, ArmnnType); - - if (armnn::IsQuantizedType<T>()) - { - paramsInfo.SetQuantizationScale(1.0f); - paramsInfo.SetQuantizationOffset(1); - outputInfo.SetQuantizationScale(1.0f); - outputInfo.SetQuantizationOffset(1); - } - const std::vector<T> params = std::vector<T>({ 1, 2, 3, 4, 5, 6, 7, 8 }); - const std::vector<int32_t> indices = std::vector<int32_t>({ 0, 2, 1, 5 }); - const std::vector<T> expectedOutput = std::vector<T>({ 1, 3, 2, 6 }); - - return GatherTestImpl<ArmnnType, T, 1, 1, 1>(workloadFactory, memoryManager, - paramsInfo, indicesInfo, outputInfo, - params,indices, expectedOutput); -} - -template <armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> -LayerTestResult<T, 2> GatherMultiDimParamsTestImpl( - armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - armnn::TensorInfo paramsInfo({ 5, 2 }, ArmnnType); - armnn::TensorInfo indicesInfo({ 3 }, 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 = std::vector<T>({ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 }); - const std::vector<int32_t> indices = std::vector<int32_t>({ 1, 3, 4 }); - const std::vector<T> expectedOutput = std::vector<T>({ 3, 4, 7, 8, 9, 10 }); - - return GatherTestImpl<ArmnnType, T, 2, 1, 2>(workloadFactory, memoryManager, - paramsInfo, indicesInfo, outputInfo, - params,indices, expectedOutput); -} - -template <armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> -LayerTestResult<T, 4> GatherMultiDimParamsMultiDimIndicesTestImpl( - armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - armnn::TensorInfo paramsInfo({ 3, 2, 3}, ArmnnType); - armnn::TensorInfo indicesInfo({ 2, 3 }, armnn::DataType::Signed32); - armnn::TensorInfo outputInfo({ 2, 3, 2, 3 }, ArmnnType); - - if (armnn::IsQuantizedType<T>()) - { - paramsInfo.SetQuantizationScale(1.0f); - paramsInfo.SetQuantizationOffset(1); - outputInfo.SetQuantizationScale(1.0f); - outputInfo.SetQuantizationOffset(1); - } - - const std::vector<T> params = std::vector<T>({ - 1, 2, 3, - 4, 5, 6, - - 7, 8, 9, - 10, 11, 12, - - 13, 14, 15, - 16, 17, 18 }); - const std::vector<int32_t> indices = std::vector<int32_t>({ 1, 2, 1, 2, 1, 0 }); - const std::vector<T> expectedOutput = std::vector<T>({ - 7, 8, 9, - 10, 11, 12, - 13, 14, 15, - 16, 17, 18, - 7, 8, 9, - 10, 11, 12, - - 13, 14, 15, - 16, 17, 18, - 7, 8, 9, - 10, 11, 12, - 1, 2, 3, - 4, 5, 6 }); - - return GatherTestImpl<ArmnnType, T, 3, 2, 4>(workloadFactory, memoryManager, - paramsInfo, indicesInfo, outputInfo, - params,indices, expectedOutput); -} |