Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "ReshapeTestImpl.hpp" |
| 7 | |
| 8 | #include <backendsCommon/test/DataTypeUtils.hpp> |
| 9 | #include <backendsCommon/test/TensorCopyUtils.hpp> |
| 10 | #include <backendsCommon/test/WorkloadTestUtils.hpp> |
| 11 | |
| 12 | #include <test/TensorHelpers.hpp> |
| 13 | |
| 14 | namespace |
| 15 | { |
| 16 | |
| 17 | template<typename T, size_t NumDims> |
| 18 | LayerTestResult<T, NumDims> SimpleReshapeTestImpl( |
| 19 | armnn::IWorkloadFactory& workloadFactory, |
| 20 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 21 | armnn::TensorInfo inputTensorInfo, |
| 22 | armnn::TensorInfo outputTensorInfo, |
| 23 | const std::vector<T>& inputData, |
| 24 | const std::vector<T>& outputExpectedData) |
| 25 | { |
| 26 | auto input = MakeTensor<T, NumDims>(inputTensorInfo, inputData); |
| 27 | |
| 28 | LayerTestResult<T, NumDims> ret(outputTensorInfo); |
| 29 | ret.outputExpected = MakeTensor<T, NumDims>(outputTensorInfo, outputExpectedData); |
| 30 | |
| 31 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 32 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 33 | |
| 34 | armnn::ReshapeQueueDescriptor data; |
| 35 | armnn::WorkloadInfo info; |
| 36 | AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); |
| 37 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 38 | |
| 39 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateReshape(data, info); |
| 40 | |
| 41 | inputHandle->Allocate(); |
| 42 | outputHandle->Allocate(); |
| 43 | |
| 44 | CopyDataToITensorHandle(inputHandle.get(), input.origin()); |
| 45 | |
| 46 | workload->Execute(); |
| 47 | |
| 48 | CopyDataFromITensorHandle(ret.output.origin(), outputHandle.get()); |
| 49 | |
| 50 | return ret; |
| 51 | } |
| 52 | |
| 53 | } // anonymous namespace |
| 54 | |
| 55 | template<armnn::DataType ArmnnType, typename T> |
| 56 | LayerTestResult<T, 4> SimpleReshapeTest( |
| 57 | armnn::IWorkloadFactory& workloadFactory, |
| 58 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 59 | { |
| 60 | armnn::TensorInfo inputTensorInfo; |
| 61 | armnn::TensorInfo outputTensorInfo; |
| 62 | |
| 63 | unsigned int inputShape[] = { 2, 2, 3, 3 }; |
| 64 | unsigned int outputShape[] = { 2, 2, 9, 1 }; |
| 65 | |
| 66 | inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType); |
| 67 | inputTensorInfo.SetQuantizationScale(1.0f); |
| 68 | outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType); |
| 69 | outputTensorInfo.SetQuantizationScale(1.0f); |
| 70 | |
| 71 | auto input = ConvertToDataType<ArmnnType>( |
| 72 | { |
| 73 | 0.0f, 1.0f, 2.0f, |
| 74 | 3.0f, 4.0f, 5.0f, |
| 75 | 6.0f, 7.0f, 8.0f, |
| 76 | |
| 77 | 9.0f, 10.0f, 11.0f, |
| 78 | 12.0f, 13.0f, 14.0f, |
| 79 | 15.0f, 16.0f, 17.0f, |
| 80 | |
| 81 | 18.0f, 19.0f, 20.0f, |
| 82 | 21.0f, 22.0f, 23.0f, |
| 83 | 24.0f, 25.0f, 26.0f, |
| 84 | |
| 85 | 27.0f, 28.0f, 29.0f, |
| 86 | 30.0f, 31.0f, 32.0f, |
| 87 | 33.0f, 34.0f, 35.0f, |
| 88 | }, |
| 89 | inputTensorInfo); |
| 90 | |
| 91 | auto outputExpected = ConvertToDataType<ArmnnType>( |
| 92 | { |
| 93 | 0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, |
| 94 | |
| 95 | 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, |
| 96 | |
| 97 | 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f, 25.0f, 26.0f, |
| 98 | |
| 99 | 27.0f, 28.0f, 29.0f, 30.0f, 31.0f, 32.0f, 33.0f, 34.0f, 35.0f, |
| 100 | }, |
| 101 | outputTensorInfo); |
| 102 | |
| 103 | return SimpleReshapeTestImpl<T, 4>( |
| 104 | workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected); |
| 105 | } |
| 106 | |
| 107 | template<armnn::DataType ArmnnType, typename T> |
| 108 | LayerTestResult<T, 5> Reshape5dTest( |
| 109 | armnn::IWorkloadFactory& workloadFactory, |
| 110 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 111 | { |
| 112 | armnn::TensorInfo inputTensorInfo; |
| 113 | armnn::TensorInfo outputTensorInfo; |
| 114 | |
| 115 | unsigned int inputShape[] = { 2, 2, 8, 1, 1 }; |
| 116 | unsigned int outputShape[] = { 2, 2, 2, 2, 2 }; |
| 117 | |
| 118 | inputTensorInfo = armnn::TensorInfo(5, inputShape, ArmnnType); |
| 119 | inputTensorInfo.SetQuantizationScale(1.0f); |
| 120 | outputTensorInfo = armnn::TensorInfo(5, outputShape, ArmnnType); |
| 121 | outputTensorInfo.SetQuantizationScale(1.0f); |
| 122 | |
| 123 | auto input = ConvertToDataType<ArmnnType>( |
| 124 | { |
| 125 | 0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, |
| 126 | 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, |
| 127 | |
| 128 | 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, |
| 129 | 24.0f, 25.0f, 26.0f, 27.0f, 28.0f, 29.0f, 30.0f, 31.0f, |
| 130 | }, |
| 131 | inputTensorInfo); |
| 132 | |
| 133 | auto outputExpected = ConvertToDataType<ArmnnType>( |
| 134 | { |
| 135 | 0.0f, 1.0f, |
| 136 | 2.0f, 3.0f, |
| 137 | |
| 138 | 4.0f, 5.0f, |
| 139 | 6.0f, 7.0f, |
| 140 | |
| 141 | |
| 142 | 8.0f, 9.0f, |
| 143 | 10.0f, 11.0f, |
| 144 | |
| 145 | 12.0f, 13.0f, |
| 146 | 14.0f, 15.0f, |
| 147 | |
| 148 | |
| 149 | |
| 150 | 16.0f, 17.0f, |
| 151 | 18.0f, 19.0f, |
| 152 | |
| 153 | 20.0f, 21.0f, |
| 154 | 22.0f, 23.0f, |
| 155 | |
| 156 | |
| 157 | 24.0f, 25.0f, |
| 158 | 26.0f, 27.0f, |
| 159 | |
| 160 | 28.0f, 29.0f, |
| 161 | 30.0f, 31.0f, |
| 162 | }, |
| 163 | outputTensorInfo); |
| 164 | |
| 165 | return SimpleReshapeTestImpl<T, 5>( |
| 166 | workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected); |
| 167 | } |
| 168 | |
| 169 | // |
| 170 | // Explicit template specializations |
| 171 | // |
| 172 | |
| 173 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> |
| 174 | SimpleReshapeTest<armnn::DataType::Float32>( |
| 175 | armnn::IWorkloadFactory& workloadFactory, |
| 176 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |
| 177 | |
| 178 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4> |
| 179 | SimpleReshapeTest<armnn::DataType::QuantisedAsymm8>( |
| 180 | armnn::IWorkloadFactory& workloadFactory, |
| 181 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |
| 182 | |
| 183 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4> |
| 184 | SimpleReshapeTest<armnn::DataType::QuantisedSymm16>( |
| 185 | armnn::IWorkloadFactory& workloadFactory, |
| 186 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |
| 187 | |
| 188 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 5> |
| 189 | Reshape5dTest<armnn::DataType::Float32>( |
| 190 | armnn::IWorkloadFactory& workloadFactory, |
| 191 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |
| 192 | |
| 193 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 5> |
| 194 | Reshape5dTest<armnn::DataType::QuantisedAsymm8>( |
| 195 | armnn::IWorkloadFactory& workloadFactory, |
| 196 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |
| 197 | |
| 198 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 5> |
| 199 | Reshape5dTest<armnn::DataType::QuantisedSymm16>( |
| 200 | armnn::IWorkloadFactory& workloadFactory, |
| 201 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |