narpra01 | 4951d84 | 2019-01-18 16:53:53 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | #pragma once |
| 6 | |
| 7 | #include "WorkloadTestUtils.hpp" |
| 8 | |
| 9 | #include <armnn/Types.hpp> |
| 10 | #include <backendsCommon/CpuTensorHandle.hpp> |
| 11 | #include <backendsCommon/IBackendInternal.hpp> |
| 12 | #include <backendsCommon/WorkloadFactory.hpp> |
| 13 | |
| 14 | template <armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>, |
| 15 | unsigned int paramsDim, unsigned int indicesDim, unsigned int OutputDim> |
| 16 | LayerTestResult<T, OutputDim> GatherTestImpl( |
| 17 | armnn::IWorkloadFactory& workloadFactory, |
| 18 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 19 | const armnn::TensorInfo& paramsInfo, |
| 20 | const armnn::TensorInfo& indicesInfo, |
| 21 | const armnn::TensorInfo& outputInfo, |
| 22 | const std::vector<T>& paramsData, |
| 23 | const std::vector<int32_t>& indicesData, |
| 24 | const std::vector<T>& outputData) |
| 25 | { |
| 26 | auto params = MakeTensor<T, paramsDim>(paramsInfo, paramsData); |
| 27 | auto indices = MakeTensor<int32_t, indicesDim>(indicesInfo, indicesData); |
| 28 | |
| 29 | LayerTestResult<T, OutputDim> result(outputInfo); |
| 30 | result.outputExpected = MakeTensor<T, OutputDim>(outputInfo, outputData); |
| 31 | |
| 32 | std::unique_ptr<armnn::ITensorHandle> paramsHandle = workloadFactory.CreateTensorHandle(paramsInfo); |
| 33 | std::unique_ptr<armnn::ITensorHandle> indicesHandle = workloadFactory.CreateTensorHandle(indicesInfo); |
| 34 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputInfo); |
| 35 | |
| 36 | armnn::GatherQueueDescriptor data; |
| 37 | armnn::WorkloadInfo info; |
| 38 | AddInputToWorkload(data, info, paramsInfo, paramsHandle.get()); |
| 39 | AddInputToWorkload(data, info, indicesInfo, indicesHandle.get()); |
| 40 | AddOutputToWorkload(data, info, outputInfo, outputHandle.get()); |
| 41 | |
| 42 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateGather(data, info); |
| 43 | |
| 44 | paramsHandle->Allocate(); |
| 45 | indicesHandle->Allocate(); |
| 46 | outputHandle->Allocate(); |
| 47 | |
| 48 | CopyDataToITensorHandle(paramsHandle.get(), params.origin()); |
| 49 | CopyDataToITensorHandle(indicesHandle.get(), indices.origin()); |
| 50 | |
| 51 | workload->Execute(); |
| 52 | |
| 53 | CopyDataFromITensorHandle(result.output.origin(), outputHandle.get()); |
| 54 | |
| 55 | return result; |
| 56 | } |
| 57 | |
| 58 | template <armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 59 | LayerTestResult<T, 1> Gather1DParamsTestImpl(armnn::IWorkloadFactory& workloadFactory, |
| 60 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 61 | { |
| 62 | armnn::TensorInfo paramsInfo({ 8 }, ArmnnType); |
| 63 | armnn::TensorInfo indicesInfo({ 4 }, armnn::DataType::Signed32); |
| 64 | armnn::TensorInfo outputInfo({ 4 }, ArmnnType); |
| 65 | |
Ellen Norris-Thompson | 6858d3f | 2019-06-21 15:50:00 +0100 | [diff] [blame] | 66 | if (armnn::IsQuantizedType<T>()) |
| 67 | { |
| 68 | paramsInfo.SetQuantizationScale(1.0f); |
| 69 | paramsInfo.SetQuantizationOffset(1); |
| 70 | outputInfo.SetQuantizationScale(1.0f); |
| 71 | outputInfo.SetQuantizationOffset(1); |
| 72 | } |
narpra01 | 4951d84 | 2019-01-18 16:53:53 +0000 | [diff] [blame] | 73 | const std::vector<T> params = std::vector<T>({ 1, 2, 3, 4, 5, 6, 7, 8 }); |
| 74 | const std::vector<int32_t> indices = std::vector<int32_t>({ 0, 2, 1, 5 }); |
| 75 | const std::vector<T> expectedOutput = std::vector<T>({ 1, 3, 2, 6 }); |
| 76 | |
| 77 | return GatherTestImpl<ArmnnType, T, 1, 1, 1>(workloadFactory, memoryManager, |
| 78 | paramsInfo, indicesInfo, outputInfo, |
| 79 | params,indices, expectedOutput); |
| 80 | } |
| 81 | |
| 82 | template <armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 83 | LayerTestResult<T, 2> GatherMultiDimParamsTestImpl( |
| 84 | armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 85 | { |
| 86 | armnn::TensorInfo paramsInfo({ 5, 2 }, ArmnnType); |
| 87 | armnn::TensorInfo indicesInfo({ 3 }, armnn::DataType::Signed32); |
| 88 | armnn::TensorInfo outputInfo({ 3, 2 }, ArmnnType); |
| 89 | |
Ellen Norris-Thompson | 6858d3f | 2019-06-21 15:50:00 +0100 | [diff] [blame] | 90 | if (armnn::IsQuantizedType<T>()) |
| 91 | { |
| 92 | paramsInfo.SetQuantizationScale(1.0f); |
| 93 | paramsInfo.SetQuantizationOffset(1); |
| 94 | outputInfo.SetQuantizationScale(1.0f); |
| 95 | outputInfo.SetQuantizationOffset(1); |
| 96 | } |
| 97 | |
narpra01 | 4951d84 | 2019-01-18 16:53:53 +0000 | [diff] [blame] | 98 | const std::vector<T> params = std::vector<T>({ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 }); |
| 99 | const std::vector<int32_t> indices = std::vector<int32_t>({ 1, 3, 4 }); |
| 100 | const std::vector<T> expectedOutput = std::vector<T>({ 3, 4, 7, 8, 9, 10 }); |
| 101 | |
| 102 | return GatherTestImpl<ArmnnType, T, 2, 1, 2>(workloadFactory, memoryManager, |
| 103 | paramsInfo, indicesInfo, outputInfo, |
| 104 | params,indices, expectedOutput); |
| 105 | } |
| 106 | |
| 107 | template <armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 108 | LayerTestResult<T, 4> GatherMultiDimParamsMultiDimIndicesTestImpl( |
| 109 | armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 110 | { |
| 111 | armnn::TensorInfo paramsInfo({ 3, 2, 3}, ArmnnType); |
| 112 | armnn::TensorInfo indicesInfo({ 2, 3 }, armnn::DataType::Signed32); |
| 113 | armnn::TensorInfo outputInfo({ 2, 3, 2, 3 }, ArmnnType); |
| 114 | |
Ellen Norris-Thompson | 6858d3f | 2019-06-21 15:50:00 +0100 | [diff] [blame] | 115 | if (armnn::IsQuantizedType<T>()) |
| 116 | { |
| 117 | paramsInfo.SetQuantizationScale(1.0f); |
| 118 | paramsInfo.SetQuantizationOffset(1); |
| 119 | outputInfo.SetQuantizationScale(1.0f); |
| 120 | outputInfo.SetQuantizationOffset(1); |
| 121 | } |
| 122 | |
narpra01 | 4951d84 | 2019-01-18 16:53:53 +0000 | [diff] [blame] | 123 | const std::vector<T> params = std::vector<T>({ |
| 124 | 1, 2, 3, |
| 125 | 4, 5, 6, |
| 126 | |
| 127 | 7, 8, 9, |
| 128 | 10, 11, 12, |
| 129 | |
| 130 | 13, 14, 15, |
| 131 | 16, 17, 18 }); |
| 132 | const std::vector<int32_t> indices = std::vector<int32_t>({ 1, 2, 1, 2, 1, 0 }); |
| 133 | const std::vector<T> expectedOutput = std::vector<T>({ |
| 134 | 7, 8, 9, |
| 135 | 10, 11, 12, |
| 136 | 13, 14, 15, |
| 137 | 16, 17, 18, |
| 138 | 7, 8, 9, |
| 139 | 10, 11, 12, |
| 140 | |
| 141 | 13, 14, 15, |
| 142 | 16, 17, 18, |
| 143 | 7, 8, 9, |
| 144 | 10, 11, 12, |
| 145 | 1, 2, 3, |
| 146 | 4, 5, 6 }); |
| 147 | |
| 148 | return GatherTestImpl<ArmnnType, T, 3, 2, 4>(workloadFactory, memoryManager, |
| 149 | paramsInfo, indicesInfo, outputInfo, |
| 150 | params,indices, expectedOutput); |
| 151 | } |