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 | #include "DivisionTestImpl.hpp" |
| 7 | |
| 8 | #include "ElementwiseTestImpl.hpp" |
| 9 | |
| 10 | template<> |
| 11 | std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::DivisionQueueDescriptor>( |
| 12 | const armnn::IWorkloadFactory& workloadFactory, |
| 13 | const armnn::WorkloadInfo& info, |
| 14 | const armnn::DivisionQueueDescriptor& descriptor) |
| 15 | { |
| 16 | return workloadFactory.CreateDivision(descriptor, info); |
| 17 | } |
| 18 | |
| 19 | LayerTestResult<float, 4> DivisionByZeroTest( |
| 20 | armnn::IWorkloadFactory& workloadFactory, |
| 21 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 22 | { |
| 23 | const unsigned int width = 2u; |
| 24 | const unsigned int height = 2u; |
| 25 | const unsigned int channelCount = 2u; |
| 26 | const unsigned int batchSize = 2u; |
| 27 | |
| 28 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 29 | |
| 30 | std::vector<float> input0 = |
| 31 | { |
| 32 | 1.f, 1.f, 1.f, 1.f, 0.f, 0.f, 0.f, 0.f, |
| 33 | -1.f, -1.f, -1.f, -1.f, 5.f, 5.f, 5.f, 5.f |
| 34 | }; |
| 35 | |
| 36 | std::vector<float> input1 = |
| 37 | { |
| 38 | 0.f, 0.f, -0.f, -0.f, 0.f, 0.f, -0.f, -0.f, |
| 39 | 0.f, 0.f, -0.f, -0.f, 5.f, 5.f, 5.f, 5.f |
| 40 | }; |
| 41 | |
| 42 | std::vector<float> output = |
| 43 | { |
| 44 | INFINITY, INFINITY, -INFINITY, -INFINITY, NAN, NAN, -NAN, -NAN, |
| 45 | -INFINITY, -INFINITY, INFINITY, INFINITY, 1, 1, 1, 1 |
| 46 | }; |
| 47 | |
| 48 | return ElementwiseTestHelper<4, armnn::DivisionQueueDescriptor, armnn::DataType::Float32>( |
| 49 | workloadFactory, |
| 50 | memoryManager, |
| 51 | shape, |
| 52 | input0, |
| 53 | shape, |
| 54 | input1, |
| 55 | shape, |
| 56 | output); |
| 57 | } |
| 58 | |
| 59 | LayerTestResult<float, 4> DivisionTest( |
| 60 | armnn::IWorkloadFactory& workloadFactory, |
| 61 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 62 | { |
| 63 | const unsigned int width = 2u; |
| 64 | const unsigned int height = 2u; |
| 65 | const unsigned int channelCount = 2u; |
| 66 | const unsigned int batchSize = 2u; |
| 67 | |
| 68 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 69 | |
| 70 | std::vector<float> input0 = |
| 71 | { |
| 72 | 2.f, 2.f, 2.f, 2.f, 3.f, 3.f, 3.f, 3.f, |
| 73 | 4.f, 4.f, 4.f, 4.f, 5.f, 5.f, 5.f, 5.f |
| 74 | }; |
| 75 | |
| 76 | std::vector<float> input1 = |
| 77 | { |
| 78 | 1.f, 1.f, 1.f, 1.f, 2.f, 2.f, 2.f, 2.f, |
| 79 | 4.f, 4.f, 4.f, 4.f, 4.f, 4.f, 4.f, 4.f |
| 80 | }; |
| 81 | |
| 82 | std::vector<float> output = |
| 83 | { |
| 84 | 2.f, 2.f, 2.f, 2.f, 1.50f, 1.50f, 1.50f, 1.50f, |
| 85 | 1.f, 1.f, 1.f, 1.f, 1.25f, 1.25f, 1.25f, 1.25f |
| 86 | }; |
| 87 | |
| 88 | return ElementwiseTestHelper<4, armnn::DivisionQueueDescriptor, armnn::DataType::Float32>( |
| 89 | workloadFactory, |
| 90 | memoryManager, |
| 91 | shape, |
| 92 | input0, |
| 93 | shape, |
| 94 | input1, |
| 95 | shape, |
| 96 | output); |
| 97 | } |
| 98 | |
| 99 | LayerTestResult<float, 4> DivisionBroadcast1ElementTest( |
| 100 | armnn::IWorkloadFactory& workloadFactory, |
| 101 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 102 | { |
| 103 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 104 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 105 | |
| 106 | std::vector<float> input0({ 2, 4, 6, 8, 10, 12, 14, 16}); |
| 107 | |
| 108 | std::vector<float> input1({ 2 }); |
| 109 | |
| 110 | std::vector<float> output({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 111 | |
| 112 | return ElementwiseTestHelper<4, armnn::DivisionQueueDescriptor, armnn::DataType::Float32>( |
| 113 | workloadFactory, |
| 114 | memoryManager, |
| 115 | shape0, |
| 116 | input0, |
| 117 | shape1, |
| 118 | input1, |
| 119 | shape0, |
| 120 | output); |
| 121 | } |
| 122 | |
| 123 | LayerTestResult<float, 4> DivisionBroadcast1DVectorTest( |
| 124 | armnn::IWorkloadFactory& workloadFactory, |
| 125 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 126 | { |
| 127 | unsigned int shape0[] = { 1, 3, 3, 2 }; |
| 128 | unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 129 | |
| 130 | std::vector<float> input0 = |
| 131 | { |
| 132 | 1.f, 4.f, 3.f, 8.f, 5.f, 12.f, |
| 133 | 7.f, 16.f, 9.f, 20.f, 11.f, 24.f, |
| 134 | 13.f, 28.f, 15.f, 32.f, 17.f, 36.f |
| 135 | }; |
| 136 | |
| 137 | std::vector<float> input1 = { 1.f, 2.f }; |
| 138 | |
| 139 | std::vector<float> output = |
| 140 | { |
| 141 | 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, |
| 142 | 7.f, 8.f, 9.f, 10.f, 11.f, 12.f, |
| 143 | 13.f, 14.f, 15.f, 16.f, 17.f, 18.f |
| 144 | }; |
| 145 | |
| 146 | return ElementwiseTestHelper<4, armnn::DivisionQueueDescriptor, armnn::DataType::Float32>( |
| 147 | workloadFactory, |
| 148 | memoryManager, |
| 149 | shape0, |
| 150 | input0, |
| 151 | shape1, |
| 152 | input1, |
| 153 | shape0, |
| 154 | output); |
| 155 | } |
| 156 | |
| 157 | LayerTestResult<uint8_t, 4> DivisionUint8Test( |
| 158 | armnn::IWorkloadFactory& workloadFactory, |
| 159 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 160 | { |
| 161 | const unsigned int width = 2u; |
| 162 | const unsigned int height = 2u; |
| 163 | const unsigned int channelCount = 2u; |
| 164 | const unsigned int batchSize = 2u; |
| 165 | |
| 166 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 167 | |
| 168 | std::vector<uint8_t> input0 = |
| 169 | { |
| 170 | 2, 2, 2, 2, 3, 3, 3, 3, |
| 171 | 4, 4, 4, 4, 5, 5, 5, 5 |
| 172 | }; |
| 173 | |
| 174 | std::vector<uint8_t> input1 = |
| 175 | { |
| 176 | 1, 1, 1, 1, 2, 2, 2, 2, |
| 177 | 4, 4, 4, 4, 4, 4, 4, 4 |
| 178 | }; |
| 179 | |
| 180 | std::vector<uint8_t> output = |
| 181 | { |
| 182 | 8, 8, 8, 8, 6, 6, 6, 6, |
| 183 | 4, 4, 4, 4, 5, 5, 5, 5 |
| 184 | }; |
| 185 | |
| 186 | return ElementwiseTestHelper<4, armnn::DivisionQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 187 | workloadFactory, |
| 188 | memoryManager, |
| 189 | shape, |
| 190 | input0, |
| 191 | shape, |
| 192 | input1, |
| 193 | shape, |
| 194 | output, |
| 195 | 0.25f, |
| 196 | 0); |
| 197 | } |
| 198 | |
| 199 | LayerTestResult<uint8_t, 4> DivisionBroadcast1ElementUint8Test( |
| 200 | armnn::IWorkloadFactory& workloadFactory, |
| 201 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 202 | { |
| 203 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 204 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 205 | |
| 206 | std::vector<uint8_t> input0 = { 2, 4, 6, 8, 10, 12, 14, 16}; |
| 207 | |
| 208 | std::vector<uint8_t> input1 = { 2 }; |
| 209 | |
| 210 | std::vector<uint8_t> output = { 1, 2, 3, 4, 5, 6, 7, 8}; |
| 211 | |
| 212 | return ElementwiseTestHelper<4, armnn::DivisionQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 213 | workloadFactory, |
| 214 | memoryManager, |
| 215 | shape0, |
| 216 | input0, |
| 217 | shape1, |
| 218 | input1, |
| 219 | shape0, |
| 220 | output); |
| 221 | } |
| 222 | |
| 223 | LayerTestResult<uint8_t, 4> DivisionBroadcast1DVectorUint8Test( |
| 224 | armnn::IWorkloadFactory& workloadFactory, |
| 225 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 226 | { |
| 227 | unsigned int shape0[] = { 1, 3, 3, 2 }; |
| 228 | unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 229 | |
| 230 | std::vector<uint8_t> input0 = |
| 231 | { |
| 232 | 1, 4, 3, 8, 5, 12, |
| 233 | 7, 16, 9, 20, 11, 24, |
| 234 | 13, 28, 15, 32, 17, 36 |
| 235 | }; |
| 236 | |
| 237 | std::vector<uint8_t> input1 = { 1, 2 }; |
| 238 | |
| 239 | std::vector<uint8_t> output = |
| 240 | { |
| 241 | 1, 2, 3, 4, 5, 6, |
| 242 | 7, 8, 9, 10, 11, 12, |
| 243 | 13, 14, 15, 16, 17, 18 |
| 244 | }; |
| 245 | |
| 246 | return ElementwiseTestHelper<4, armnn::DivisionQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 247 | workloadFactory, |
| 248 | memoryManager, |
| 249 | shape0, |
| 250 | input0, |
| 251 | shape1, |
| 252 | input1, |
| 253 | shape0, |
| 254 | output); |
| 255 | } |
| 256 | |
| 257 | LayerTestResult<int16_t,4> DivisionInt16Test( |
| 258 | armnn::IWorkloadFactory& workloadFactory, |
| 259 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 260 | { |
| 261 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 262 | |
| 263 | std::vector<int16_t> input0 = |
| 264 | { |
| 265 | 2, 2, 2, 2, 3, 3, 3, 3, |
| 266 | 4, 4, 4, 4, 5, 5, 5, 5 |
| 267 | }; |
| 268 | |
| 269 | std::vector<int16_t> input1 = |
| 270 | { |
| 271 | 1, 1, 1, 1, 2, 2, 2, 2, |
| 272 | 4, 4, 4, 4, 4, 4, 4, 4 |
| 273 | }; |
| 274 | |
| 275 | std::vector<int16_t> output = |
| 276 | { |
| 277 | 8, 8, 8, 8, 6, 6, 6, 6, |
| 278 | 4, 4, 4, 4, 5, 5, 5, 5 |
| 279 | }; |
| 280 | |
| 281 | return ElementwiseTestHelper<4, armnn::DivisionQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 282 | workloadFactory, |
| 283 | memoryManager, |
| 284 | shape, |
| 285 | input0, |
| 286 | shape, |
| 287 | input1, |
| 288 | shape, |
| 289 | output, |
| 290 | 0.25f, |
| 291 | 0); |
| 292 | } |
| 293 | |
| 294 | LayerTestResult<int16_t, 4> DivisionBroadcast1ElementInt16Test( |
| 295 | armnn::IWorkloadFactory& workloadFactory, |
| 296 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 297 | { |
| 298 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 299 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 300 | |
| 301 | std::vector<int16_t> input0 = { 2, 4, 6, 8, 10, 12, 14, 16}; |
| 302 | |
| 303 | std::vector<int16_t> input1 = { 2 }; |
| 304 | |
| 305 | std::vector<int16_t> output = { 1, 2, 3, 4, 5, 6, 7, 8}; |
| 306 | |
| 307 | return ElementwiseTestHelper<4, armnn::DivisionQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 308 | workloadFactory, |
| 309 | memoryManager, |
| 310 | shape0, |
| 311 | input0, |
| 312 | shape1, |
| 313 | input1, |
| 314 | shape0, |
| 315 | output); |
| 316 | } |
| 317 | |
| 318 | LayerTestResult<int16_t, 4> DivisionBroadcast1DVectorInt16Test( |
| 319 | armnn::IWorkloadFactory& workloadFactory, |
| 320 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 321 | { |
| 322 | unsigned int shape0[] = { 1, 3, 3, 2 }; |
| 323 | unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 324 | |
| 325 | std::vector<int16_t> input0 = |
| 326 | { |
| 327 | 1, 4, 3, 8, 5, 12, |
| 328 | 7, 16, 9, 20, 11, 24, |
| 329 | 13, 28, 15, 32, 17, 36 |
| 330 | }; |
| 331 | |
| 332 | std::vector<int16_t> input1 = { 1, 2 }; |
| 333 | |
| 334 | std::vector<int16_t> output = |
| 335 | { |
| 336 | 1, 2, 3, 4, 5, 6, |
| 337 | 7, 8, 9, 10, 11, 12, |
| 338 | 13, 14, 15, 16, 17, 18 |
| 339 | }; |
| 340 | |
| 341 | return ElementwiseTestHelper<4, armnn::DivisionQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 342 | workloadFactory, |
| 343 | memoryManager, |
| 344 | shape0, |
| 345 | input0, |
| 346 | shape1, |
| 347 | input1, |
| 348 | shape0, |
| 349 | output); |
| 350 | } |