Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 1 | // |
Teresa Charlin | fbf0e5b | 2020-08-17 01:01:06 +0100 | [diff] [blame] | 2 | // Copyright © 2017 Arm Ltd and Contributors. All rights reserved. |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #pragma once |
| 7 | |
Sadik Armagan | a097d2a | 2021-11-24 15:47:28 +0000 | [diff] [blame] | 8 | #include <armnnTestUtils/LayerTestResult.hpp> |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 9 | |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 10 | |
| 11 | #include <ResolveType.hpp> |
| 12 | |
Matteo Martincigh | e5b8eb9 | 2019-11-28 15:45:42 +0000 | [diff] [blame] | 13 | #include <armnn/backends/IBackendInternal.hpp> |
Colm Donelan | 0c47974 | 2021-12-10 12:43:54 +0000 | [diff] [blame] | 14 | #include <armnn/backends/Workload.hpp> |
| 15 | #include <armnn/backends/WorkloadData.hpp> |
| 16 | #include <armnn/backends/WorkloadFactory.hpp> |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 17 | |
Sadik Armagan | a097d2a | 2021-11-24 15:47:28 +0000 | [diff] [blame] | 18 | #include <DataTypeUtils.hpp> |
| 19 | #include <armnnTestUtils/TensorCopyUtils.hpp> |
Colm Donelan | 0c47974 | 2021-12-10 12:43:54 +0000 | [diff] [blame] | 20 | #include <armnnTestUtils/WorkloadTestUtils.hpp> |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 21 | |
Colm Donelan | c42a987 | 2022-02-02 16:35:09 +0000 | [diff] [blame] | 22 | #include <armnnTestUtils/TensorHelpers.hpp> |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 23 | |
| 24 | #include <memory> |
| 25 | |
| 26 | template<typename DescriptorType> |
| 27 | std::unique_ptr<armnn::IWorkload> CreateWorkload( |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 28 | const armnn::IWorkloadFactory& workloadFactory, |
| 29 | const armnn::WorkloadInfo& info, |
| 30 | const DescriptorType& descriptor) { |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 31 | return CreateWorkload(workloadFactory, info, descriptor); |
| 32 | } |
| 33 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 34 | template<std::size_t NumDims, |
| 35 | typename Descriptor, |
| 36 | armnn::DataType ArmnnTypeInput, |
| 37 | armnn::DataType ArmnnTypeOutput, |
| 38 | typename TInput = armnn::ResolveType<ArmnnTypeInput>, |
| 39 | typename TOutput = armnn::ResolveType<ArmnnTypeOutput>> |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 40 | LayerTestResult<TOutput, NumDims> ElementwiseTestHelper( |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 41 | armnn::IWorkloadFactory& workloadFactory, |
| 42 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 43 | const unsigned int shape0[NumDims], |
| 44 | std::vector<TInput> values0, |
| 45 | float quantScale0, |
| 46 | int quantOffset0, |
| 47 | const unsigned int shape1[NumDims], |
| 48 | std::vector<TInput> values1, |
| 49 | float quantScale1, |
| 50 | int quantOffset1, |
| 51 | const unsigned int outShape[NumDims], |
| 52 | std::vector<TOutput> outValues, |
| 53 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
| 54 | float outQuantScale, |
| 55 | int outQuantOffset) { |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 56 | armnn::TensorInfo inputTensorInfo0{NumDims, shape0, ArmnnTypeInput}; |
| 57 | armnn::TensorInfo inputTensorInfo1{NumDims, shape1, ArmnnTypeInput}; |
| 58 | armnn::TensorInfo outputTensorInfo{NumDims, outShape, ArmnnTypeOutput}; |
| 59 | |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 60 | inputTensorInfo0.SetQuantizationScale(quantScale0); |
| 61 | inputTensorInfo0.SetQuantizationOffset(quantOffset0); |
| 62 | |
| 63 | inputTensorInfo1.SetQuantizationScale(quantScale1); |
| 64 | inputTensorInfo1.SetQuantizationOffset(quantOffset1); |
| 65 | |
| 66 | outputTensorInfo.SetQuantizationScale(outQuantScale); |
| 67 | outputTensorInfo.SetQuantizationOffset(outQuantOffset); |
| 68 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 69 | std::vector<TOutput> actualOutput(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 70 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 71 | bool isBoolean = false; |
| 72 | if (ArmnnTypeOutput == armnn::DataType::Boolean) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 73 | { |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 74 | isBoolean = true; |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 75 | } |
| 76 | |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 77 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = tensorHandleFactory.CreateTensorHandle(inputTensorInfo0); |
| 78 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = tensorHandleFactory.CreateTensorHandle(inputTensorInfo1); |
| 79 | std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 80 | |
| 81 | Descriptor data; |
| 82 | armnn::WorkloadInfo info; |
| 83 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 84 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 85 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 86 | auto workload = CreateWorkload<Descriptor>(workloadFactory, info, data); |
| 87 | |
| 88 | inputHandle0->Allocate(); |
| 89 | inputHandle1->Allocate(); |
| 90 | outputHandle->Allocate(); |
| 91 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 92 | CopyDataToITensorHandle(inputHandle0.get(), values0.data()); |
| 93 | CopyDataToITensorHandle(inputHandle1.get(), values1.data()); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 94 | |
| 95 | workload->PostAllocationConfigure(); |
| 96 | ExecuteWorkload(*workload, memoryManager); |
| 97 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 98 | CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get()); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 99 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 100 | return LayerTestResult<TOutput, NumDims>(actualOutput, |
| 101 | outValues, |
| 102 | outputHandle->GetShape(), |
| 103 | outputTensorInfo.GetShape(), |
| 104 | isBoolean); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 105 | } |
| 106 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 107 | template<std::size_t NumDims, |
| 108 | typename Descriptor, |
| 109 | armnn::DataType ArmnnType, |
| 110 | typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 111 | LayerTestResult<T, NumDims> ElementwiseTestHelper( |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 112 | armnn::IWorkloadFactory& workloadFactory, |
| 113 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 114 | const unsigned int shape0[NumDims], |
| 115 | std::vector<T> values0, |
| 116 | float quantScale0, |
| 117 | int quantOffset0, |
| 118 | const unsigned int shape1[NumDims], |
| 119 | std::vector<T> values1, |
| 120 | float quantScale1, |
| 121 | int quantOffset1, |
| 122 | const unsigned int outShape[NumDims], |
| 123 | std::vector<T> outValues, |
| 124 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
| 125 | float outQuantScale, |
| 126 | int outQuantOffset) { |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 127 | return ElementwiseTestHelper<NumDims, Descriptor, ArmnnType, ArmnnType>( |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 128 | workloadFactory, |
| 129 | memoryManager, |
| 130 | shape0, |
| 131 | values0, |
| 132 | quantScale0, |
| 133 | quantOffset0, |
| 134 | shape1, |
| 135 | values1, |
| 136 | quantScale1, |
| 137 | quantOffset1, |
| 138 | outShape, |
| 139 | outValues, |
| 140 | tensorHandleFactory, |
| 141 | outQuantScale, |
| 142 | outQuantOffset); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 143 | } |
| 144 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 145 | template<std::size_t NumDims, |
| 146 | typename Descriptor, |
| 147 | armnn::DataType ArmnnTypeInput, |
| 148 | armnn::DataType ArmnnTypeOutput, |
| 149 | typename TInput = armnn::ResolveType<ArmnnTypeInput>, |
| 150 | typename TOutput = armnn::ResolveType<ArmnnTypeOutput>> |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 151 | LayerTestResult<TOutput, NumDims> ElementwiseTestHelper( |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 152 | armnn::IWorkloadFactory& workloadFactory, |
| 153 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 154 | const unsigned int shape0[NumDims], |
| 155 | std::vector<TInput> values0, |
| 156 | const unsigned int shape1[NumDims], |
| 157 | std::vector<TInput> values1, |
| 158 | const unsigned int outShape[NumDims], |
| 159 | std::vector<TOutput> outValues, |
| 160 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
| 161 | float quantScale = 1.0f, |
| 162 | int quantOffset = 0) { |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 163 | return ElementwiseTestHelper<NumDims, Descriptor, ArmnnTypeInput, ArmnnTypeOutput>( |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 164 | workloadFactory, |
| 165 | memoryManager, |
| 166 | shape0, |
| 167 | values0, |
| 168 | quantScale, |
| 169 | quantOffset, |
| 170 | shape1, |
| 171 | values1, |
| 172 | quantScale, |
| 173 | quantOffset, |
| 174 | outShape, |
| 175 | outValues, |
| 176 | tensorHandleFactory, |
| 177 | quantScale, |
| 178 | quantOffset); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 179 | } |
| 180 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 181 | template<std::size_t NumDims, |
| 182 | typename Descriptor, |
| 183 | armnn::DataType ArmnnType, |
| 184 | typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 185 | LayerTestResult<T, NumDims> ElementwiseTestHelper( |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 186 | armnn::IWorkloadFactory& workloadFactory, |
| 187 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 188 | const unsigned int shape0[NumDims], |
| 189 | std::vector<T> values0, |
| 190 | const unsigned int shape1[NumDims], |
| 191 | std::vector<T> values1, |
| 192 | const unsigned int outShape[NumDims], |
| 193 | std::vector<T> outValues, |
| 194 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
| 195 | float quantScale = 1.0f, |
| 196 | int quantOffset = 0) { |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 197 | return ElementwiseTestHelper<NumDims, Descriptor, ArmnnType, ArmnnType>( |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 198 | workloadFactory, |
| 199 | memoryManager, |
| 200 | shape0, |
| 201 | values0, |
| 202 | shape1, |
| 203 | values1, |
| 204 | outShape, |
| 205 | outValues, |
| 206 | tensorHandleFactory, |
| 207 | quantScale, |
| 208 | quantOffset); |
josh minor | 4a3c610 | 2020-01-06 16:40:46 -0600 | [diff] [blame] | 209 | } |