Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #pragma once |
| 7 | |
| 8 | #include "LayerTestResult.hpp" |
| 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> |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 14 | #include <backendsCommon/Workload.hpp> |
| 15 | #include <backendsCommon/WorkloadData.hpp> |
| 16 | #include <backendsCommon/WorkloadFactory.hpp> |
| 17 | |
josh minor | 4a3c610 | 2020-01-06 16:40:46 -0600 | [diff] [blame] | 18 | #include <backendsCommon/test/DataTypeUtils.hpp> |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 19 | #include <backendsCommon/test/TensorCopyUtils.hpp> |
| 20 | #include <backendsCommon/test/WorkloadTestUtils.hpp> |
| 21 | |
| 22 | #include <test/TensorHelpers.hpp> |
| 23 | |
| 24 | #include <memory> |
| 25 | |
| 26 | template<typename DescriptorType> |
| 27 | std::unique_ptr<armnn::IWorkload> CreateWorkload( |
| 28 | const armnn::IWorkloadFactory& workloadFactory, |
| 29 | const armnn::WorkloadInfo& info, |
| 30 | const DescriptorType& descriptor) |
| 31 | { |
| 32 | return CreateWorkload(workloadFactory, info, descriptor); |
| 33 | } |
| 34 | |
| 35 | template <std::size_t NumDims, |
| 36 | typename Descriptor, |
| 37 | armnn::DataType ArmnnTypeInput, |
| 38 | armnn::DataType ArmnnTypeOutput, |
| 39 | typename TInput = armnn::ResolveType<ArmnnTypeInput>, |
| 40 | typename TOutput = armnn::ResolveType<ArmnnTypeOutput>> |
| 41 | LayerTestResult<TOutput, NumDims> ElementwiseTestHelper( |
| 42 | armnn::IWorkloadFactory & workloadFactory, |
| 43 | const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager, |
| 44 | const unsigned int shape0[NumDims], |
| 45 | std::vector<TInput> values0, |
| 46 | float quantScale0, |
| 47 | int quantOffset0, |
| 48 | const unsigned int shape1[NumDims], |
| 49 | std::vector<TInput> values1, |
| 50 | float quantScale1, |
| 51 | int quantOffset1, |
| 52 | const unsigned int outShape[NumDims], |
| 53 | std::vector<TOutput> outValues, |
| 54 | float outQuantScale, |
| 55 | int outQuantOffset) |
| 56 | { |
| 57 | armnn::TensorInfo inputTensorInfo0{NumDims, shape0, ArmnnTypeInput}; |
| 58 | armnn::TensorInfo inputTensorInfo1{NumDims, shape1, ArmnnTypeInput}; |
| 59 | armnn::TensorInfo outputTensorInfo{NumDims, outShape, ArmnnTypeOutput}; |
| 60 | |
| 61 | auto input0 = MakeTensor<TInput, NumDims>(inputTensorInfo0, values0); |
| 62 | auto input1 = MakeTensor<TInput, NumDims>(inputTensorInfo1, values1); |
| 63 | |
| 64 | inputTensorInfo0.SetQuantizationScale(quantScale0); |
| 65 | inputTensorInfo0.SetQuantizationOffset(quantOffset0); |
| 66 | |
| 67 | inputTensorInfo1.SetQuantizationScale(quantScale1); |
| 68 | inputTensorInfo1.SetQuantizationOffset(quantOffset1); |
| 69 | |
| 70 | outputTensorInfo.SetQuantizationScale(outQuantScale); |
| 71 | outputTensorInfo.SetQuantizationOffset(outQuantOffset); |
| 72 | |
| 73 | LayerTestResult<TOutput, NumDims> ret(outputTensorInfo); |
| 74 | |
| 75 | if(ArmnnTypeOutput == armnn::DataType::Boolean) |
| 76 | { |
| 77 | ret.compareBoolean = true; |
| 78 | } |
| 79 | |
| 80 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 81 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 82 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 83 | |
| 84 | Descriptor data; |
| 85 | armnn::WorkloadInfo info; |
| 86 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 87 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 88 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 89 | auto workload = CreateWorkload<Descriptor>(workloadFactory, info, data); |
| 90 | |
| 91 | inputHandle0->Allocate(); |
| 92 | inputHandle1->Allocate(); |
| 93 | outputHandle->Allocate(); |
| 94 | |
| 95 | CopyDataToITensorHandle(inputHandle0.get(), input0.origin()); |
| 96 | CopyDataToITensorHandle(inputHandle1.get(), input1.origin()); |
| 97 | |
| 98 | workload->PostAllocationConfigure(); |
| 99 | ExecuteWorkload(*workload, memoryManager); |
| 100 | |
| 101 | CopyDataFromITensorHandle(ret.output.origin(), outputHandle.get()); |
| 102 | |
| 103 | ret.outputExpected = MakeTensor<TOutput, NumDims>(outputTensorInfo, outValues); |
| 104 | return ret; |
| 105 | } |
| 106 | |
| 107 | template <std::size_t NumDims, |
| 108 | typename Descriptor, |
| 109 | armnn::DataType ArmnnType, |
| 110 | typename T = armnn::ResolveType<ArmnnType>> |
| 111 | LayerTestResult<T, NumDims> ElementwiseTestHelper( |
| 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 | float outQuantScale, |
| 125 | int outQuantOffset) |
| 126 | { |
| 127 | return ElementwiseTestHelper<NumDims, Descriptor, ArmnnType, ArmnnType>( |
| 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 | outQuantScale, |
| 141 | outQuantOffset); |
| 142 | } |
| 143 | |
| 144 | template <std::size_t NumDims, |
| 145 | typename Descriptor, |
| 146 | armnn::DataType ArmnnTypeInput, |
| 147 | armnn::DataType ArmnnTypeOutput, |
| 148 | typename TInput = armnn::ResolveType<ArmnnTypeInput>, |
| 149 | typename TOutput = armnn::ResolveType<ArmnnTypeOutput>> |
| 150 | LayerTestResult<TOutput, NumDims> ElementwiseTestHelper( |
| 151 | armnn::IWorkloadFactory & workloadFactory, |
| 152 | const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager, |
| 153 | const unsigned int shape0[NumDims], |
| 154 | std::vector<TInput> values0, |
| 155 | const unsigned int shape1[NumDims], |
| 156 | std::vector<TInput> values1, |
| 157 | const unsigned int outShape[NumDims], |
| 158 | std::vector<TOutput> outValues, |
| 159 | float quantScale = 1.0f, |
| 160 | int quantOffset = 0) |
| 161 | { |
| 162 | return ElementwiseTestHelper<NumDims, Descriptor, ArmnnTypeInput, ArmnnTypeOutput>( |
| 163 | workloadFactory, |
| 164 | memoryManager, |
| 165 | shape0, |
| 166 | values0, |
| 167 | quantScale, |
| 168 | quantOffset, |
| 169 | shape1, |
| 170 | values1, |
| 171 | quantScale, |
| 172 | quantOffset, |
| 173 | outShape, |
| 174 | outValues, |
| 175 | quantScale, |
| 176 | quantOffset); |
| 177 | } |
| 178 | |
| 179 | template <std::size_t NumDims, |
| 180 | typename Descriptor, |
| 181 | armnn::DataType ArmnnType, |
| 182 | typename T = armnn::ResolveType<ArmnnType>> |
| 183 | LayerTestResult<T, NumDims> ElementwiseTestHelper( |
| 184 | armnn::IWorkloadFactory & workloadFactory, |
| 185 | const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager, |
| 186 | const unsigned int shape0[NumDims], |
| 187 | std::vector<T> values0, |
| 188 | const unsigned int shape1[NumDims], |
| 189 | std::vector<T> values1, |
| 190 | const unsigned int outShape[NumDims], |
| 191 | std::vector<T> outValues, |
| 192 | float quantScale = 1.0f, |
| 193 | int quantOffset = 0) |
| 194 | { |
| 195 | return ElementwiseTestHelper<NumDims, Descriptor, ArmnnType, ArmnnType>( |
| 196 | workloadFactory, |
| 197 | memoryManager, |
| 198 | shape0, |
| 199 | values0, |
| 200 | shape1, |
| 201 | values1, |
| 202 | outShape, |
| 203 | outValues, |
| 204 | quantScale, |
| 205 | quantOffset); |
josh minor | 4a3c610 | 2020-01-06 16:40:46 -0600 | [diff] [blame] | 206 | } |