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Diffstat (limited to 'src/backends/backendsCommon/test/GatherTestImpl.hpp')
-rw-r--r-- | src/backends/backendsCommon/test/GatherTestImpl.hpp | 128 |
1 files changed, 128 insertions, 0 deletions
diff --git a/src/backends/backendsCommon/test/GatherTestImpl.hpp b/src/backends/backendsCommon/test/GatherTestImpl.hpp new file mode 100644 index 0000000000..16b266ed29 --- /dev/null +++ b/src/backends/backendsCommon/test/GatherTestImpl.hpp @@ -0,0 +1,128 @@ +// +// 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); + + 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); + + 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); + + 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); +} |