Matthew Sloyan | 91c4171 | 2020-11-13 09:47:35 +0000 | [diff] [blame] | 1 | // |
Teresa Charlin | 69b67d8 | 2023-01-05 17:24:34 +0000 | [diff] [blame] | 2 | // Copyright © 2020,2023 Arm Ltd and Contributors. All rights reserved. |
Matthew Sloyan | 91c4171 | 2020-11-13 09:47:35 +0000 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "ControlTestHelper.hpp" |
| 7 | |
| 8 | #include <armnn_delegate.hpp> |
| 9 | |
| 10 | #include <flatbuffers/flatbuffers.h> |
Matthew Sloyan | 91c4171 | 2020-11-13 09:47:35 +0000 | [diff] [blame] | 11 | |
| 12 | #include <doctest/doctest.h> |
| 13 | |
| 14 | namespace armnnDelegate |
| 15 | { |
| 16 | |
| 17 | // CONCATENATION Operator |
| 18 | void ConcatUint8TwoInputsTest(std::vector<armnn::BackendId>& backends) |
| 19 | { |
| 20 | std::vector<int32_t> inputShape { 2, 2 }; |
| 21 | std::vector<int32_t> expectedOutputShape { 4, 2 }; |
| 22 | |
| 23 | // Set input and output data |
| 24 | std::vector<std::vector<uint8_t>> inputValues; |
| 25 | std::vector<uint8_t> inputValue1 { 0, 1, 2, 3 }; // Lower bounds |
| 26 | std::vector<uint8_t> inputValue2 { 252, 253, 254, 255 }; // Upper bounds |
| 27 | inputValues.push_back(inputValue1); |
| 28 | inputValues.push_back(inputValue2); |
| 29 | |
| 30 | std::vector<uint8_t> expectedOutputValues { 0, 1, 2, 3, 252, 253, 254, 255 }; |
| 31 | |
| 32 | ConcatenationTest<uint8_t>(tflite::BuiltinOperator_CONCATENATION, |
| 33 | ::tflite::TensorType_UINT8, |
| 34 | backends, |
| 35 | inputShape, |
| 36 | expectedOutputShape, |
| 37 | inputValues, |
| 38 | expectedOutputValues); |
| 39 | } |
| 40 | |
| 41 | void ConcatInt16TwoInputsTest(std::vector<armnn::BackendId>& backends) |
| 42 | { |
| 43 | std::vector<int32_t> inputShape { 2, 2 }; |
| 44 | std::vector<int32_t> expectedOutputShape { 4, 2 }; |
| 45 | |
| 46 | std::vector<std::vector<int16_t>> inputValues; |
| 47 | std::vector<int16_t> inputValue1 { -32768, -16384, -1, 0 }; |
| 48 | std::vector<int16_t> inputValue2 { 1, 2, 16384, 32767 }; |
| 49 | inputValues.push_back(inputValue1); |
| 50 | inputValues.push_back(inputValue2); |
| 51 | |
| 52 | std::vector<int16_t> expectedOutputValues { -32768, -16384, -1, 0, 1, 2, 16384, 32767}; |
| 53 | |
| 54 | ConcatenationTest<int16_t>(tflite::BuiltinOperator_CONCATENATION, |
| 55 | ::tflite::TensorType_INT16, |
| 56 | backends, |
| 57 | inputShape, |
| 58 | expectedOutputShape, |
| 59 | inputValues, |
| 60 | expectedOutputValues); |
| 61 | } |
| 62 | |
| 63 | void ConcatFloat32TwoInputsTest(std::vector<armnn::BackendId>& backends) |
| 64 | { |
| 65 | std::vector<int32_t> inputShape { 2, 2 }; |
| 66 | std::vector<int32_t> expectedOutputShape { 4, 2 }; |
| 67 | |
| 68 | std::vector<std::vector<float>> inputValues; |
| 69 | std::vector<float> inputValue1 { -127.f, -126.f, -1.f, 0.f }; |
| 70 | std::vector<float> inputValue2 { 1.f, 2.f, 126.f, 127.f }; |
| 71 | inputValues.push_back(inputValue1); |
| 72 | inputValues.push_back(inputValue2); |
| 73 | |
| 74 | std::vector<float> expectedOutputValues { -127.f, -126.f, -1.f, 0.f, 1.f, 2.f, 126.f, 127.f }; |
| 75 | |
| 76 | ConcatenationTest<float>(tflite::BuiltinOperator_CONCATENATION, |
| 77 | ::tflite::TensorType_FLOAT32, |
| 78 | backends, |
| 79 | inputShape, |
| 80 | expectedOutputShape, |
| 81 | inputValues, |
| 82 | expectedOutputValues); |
| 83 | } |
| 84 | |
| 85 | void ConcatThreeInputsTest(std::vector<armnn::BackendId>& backends) |
| 86 | { |
| 87 | std::vector<int32_t> inputShape { 2, 2 }; |
| 88 | std::vector<int32_t> expectedOutputShape { 6, 2 }; |
| 89 | |
| 90 | std::vector<std::vector<uint8_t>> inputValues; |
| 91 | std::vector<uint8_t> inputValue1 { 0, 1, 2, 3 }; |
| 92 | std::vector<uint8_t> inputValue2 { 125, 126, 127, 128 }; |
| 93 | std::vector<uint8_t> inputValue3 { 252, 253, 254, 255 }; |
| 94 | inputValues.push_back(inputValue1); |
| 95 | inputValues.push_back(inputValue2); |
| 96 | inputValues.push_back(inputValue3); |
| 97 | |
| 98 | std::vector<uint8_t> expectedOutputValues { 0, 1, 2, 3, 125, 126, 127, 128, 252, 253, 254, 255 }; |
| 99 | |
| 100 | ConcatenationTest<uint8_t>(tflite::BuiltinOperator_CONCATENATION, |
| 101 | ::tflite::TensorType_UINT8, |
| 102 | backends, |
| 103 | inputShape, |
| 104 | expectedOutputShape, |
| 105 | inputValues, |
| 106 | expectedOutputValues); |
| 107 | } |
| 108 | |
| 109 | void ConcatAxisTest(std::vector<armnn::BackendId>& backends) |
| 110 | { |
| 111 | std::vector<int32_t> inputShape { 1, 2, 2 }; |
| 112 | std::vector<int32_t> expectedOutputShape { 1, 2, 4 }; |
| 113 | |
| 114 | std::vector<std::vector<uint8_t>> inputValues; |
| 115 | std::vector<uint8_t> inputValue1 { 0, 1, 2, 3 }; |
| 116 | std::vector<uint8_t> inputValue3 { 252, 253, 254, 255 }; |
| 117 | inputValues.push_back(inputValue1); |
| 118 | inputValues.push_back(inputValue3); |
| 119 | |
| 120 | std::vector<uint8_t> expectedOutputValues { 0, 1, 252, 253, 2, 3, 254, 255 }; |
| 121 | |
| 122 | ConcatenationTest<uint8_t>(tflite::BuiltinOperator_CONCATENATION, |
| 123 | ::tflite::TensorType_UINT8, |
| 124 | backends, |
| 125 | inputShape, |
| 126 | expectedOutputShape, |
| 127 | inputValues, |
| 128 | expectedOutputValues, |
| 129 | 2); |
| 130 | } |
| 131 | |
| 132 | // MEAN Operator |
| 133 | void MeanUint8KeepDimsTest(std::vector<armnn::BackendId>& backends) |
| 134 | { |
| 135 | std::vector<int32_t> input0Shape { 1, 3 }; |
| 136 | std::vector<int32_t> input1Shape { 1 }; |
| 137 | std::vector<int32_t> expectedOutputShape { 1, 1 }; |
| 138 | |
| 139 | std::vector<uint8_t> input0Values { 5, 10, 15 }; // Inputs |
| 140 | std::vector<int32_t> input1Values { 1 }; // Axis |
| 141 | |
| 142 | std::vector<uint8_t> expectedOutputValues { 10 }; |
| 143 | |
| 144 | MeanTest<uint8_t>(tflite::BuiltinOperator_MEAN, |
| 145 | ::tflite::TensorType_UINT8, |
| 146 | backends, |
| 147 | input0Shape, |
| 148 | input1Shape, |
| 149 | expectedOutputShape, |
| 150 | input0Values, |
| 151 | input1Values, |
| 152 | expectedOutputValues, |
| 153 | true); |
| 154 | } |
| 155 | |
| 156 | void MeanUint8Test(std::vector<armnn::BackendId>& backends) |
| 157 | { |
| 158 | std::vector<int32_t> input0Shape { 1, 2, 2 }; |
| 159 | std::vector<int32_t> input1Shape { 1 }; |
| 160 | std::vector<int32_t> expectedOutputShape { 2, 2 }; |
| 161 | |
| 162 | std::vector<uint8_t> input0Values { 5, 10, 15, 20 }; // Inputs |
| 163 | std::vector<int32_t> input1Values { 0 }; // Axis |
| 164 | |
| 165 | std::vector<uint8_t> expectedOutputValues { 5, 10, 15, 20 }; |
| 166 | |
| 167 | MeanTest<uint8_t>(tflite::BuiltinOperator_MEAN, |
| 168 | ::tflite::TensorType_UINT8, |
| 169 | backends, |
| 170 | input0Shape, |
| 171 | input1Shape, |
| 172 | expectedOutputShape, |
| 173 | input0Values, |
| 174 | input1Values, |
| 175 | expectedOutputValues, |
| 176 | false); |
| 177 | } |
| 178 | |
| 179 | void MeanFp32KeepDimsTest(std::vector<armnn::BackendId>& backends) |
| 180 | { |
| 181 | std::vector<int32_t> input0Shape { 1, 2, 2 }; |
| 182 | std::vector<int32_t> input1Shape { 1 }; |
| 183 | std::vector<int32_t> expectedOutputShape { 1, 1, 2 }; |
| 184 | |
| 185 | std::vector<float> input0Values { 1.0f, 1.5f, 2.0f, 2.5f }; // Inputs |
| 186 | std::vector<int32_t> input1Values { 1 }; // Axis |
| 187 | |
| 188 | std::vector<float> expectedOutputValues { 1.5f, 2.0f }; |
| 189 | |
| 190 | MeanTest<float>(tflite::BuiltinOperator_MEAN, |
| 191 | ::tflite::TensorType_FLOAT32, |
| 192 | backends, |
| 193 | input0Shape, |
| 194 | input1Shape, |
| 195 | expectedOutputShape, |
| 196 | input0Values, |
| 197 | input1Values, |
| 198 | expectedOutputValues, |
| 199 | true); |
| 200 | } |
| 201 | |
| 202 | void MeanFp32Test(std::vector<armnn::BackendId>& backends) |
| 203 | { |
| 204 | std::vector<int32_t> input0Shape { 1, 2, 2, 1 }; |
| 205 | std::vector<int32_t> input1Shape { 1 }; |
| 206 | std::vector<int32_t> expectedOutputShape { 1, 2, 1 }; |
| 207 | |
| 208 | std::vector<float> input0Values { 1.0f, 1.5f, 2.0f, 2.5f }; // Inputs |
| 209 | std::vector<int32_t> input1Values { 2 }; // Axis |
| 210 | |
| 211 | std::vector<float> expectedOutputValues { 1.25f, 2.25f }; |
| 212 | |
| 213 | MeanTest<float>(tflite::BuiltinOperator_MEAN, |
| 214 | ::tflite::TensorType_FLOAT32, |
| 215 | backends, |
| 216 | input0Shape, |
| 217 | input1Shape, |
| 218 | expectedOutputShape, |
| 219 | input0Values, |
| 220 | input1Values, |
| 221 | expectedOutputValues, |
| 222 | false); |
| 223 | } |
| 224 | |
| 225 | // CONCATENATION Tests. |
| 226 | TEST_SUITE("Concatenation_CpuAccTests") |
| 227 | { |
| 228 | |
| 229 | TEST_CASE ("Concatenation_Uint8_CpuAcc_Test") |
| 230 | { |
| 231 | std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc}; |
| 232 | ConcatUint8TwoInputsTest(backends); |
| 233 | } |
| 234 | |
| 235 | TEST_CASE ("Concatenation_Int16_CpuAcc_Test") |
| 236 | { |
| 237 | std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc}; |
| 238 | ConcatInt16TwoInputsTest(backends); |
| 239 | } |
| 240 | |
| 241 | TEST_CASE ("Concatenation_Float32_CpuAcc_Test") |
| 242 | { |
| 243 | std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc}; |
| 244 | ConcatFloat32TwoInputsTest(backends); |
| 245 | } |
| 246 | |
| 247 | TEST_CASE ("Concatenation_Three_Inputs_CpuAcc_Test") |
| 248 | { |
| 249 | std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc}; |
| 250 | ConcatThreeInputsTest(backends); |
| 251 | } |
| 252 | |
| 253 | TEST_CASE ("Concatenation_Axis_CpuAcc_Test") |
| 254 | { |
| 255 | std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc}; |
| 256 | ConcatAxisTest(backends); |
| 257 | } |
| 258 | |
| 259 | } |
| 260 | |
| 261 | TEST_SUITE("Concatenation_GpuAccTests") |
| 262 | { |
| 263 | |
| 264 | TEST_CASE ("Concatenation_Uint8_GpuAcc_Test") |
| 265 | { |
| 266 | std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc}; |
| 267 | ConcatUint8TwoInputsTest(backends); |
| 268 | } |
| 269 | |
| 270 | TEST_CASE ("Concatenation_Int16_GpuAcc_Test") |
| 271 | { |
| 272 | std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc}; |
| 273 | ConcatInt16TwoInputsTest(backends); |
| 274 | } |
| 275 | |
| 276 | TEST_CASE ("Concatenation_Float32_GpuAcc_Test") |
| 277 | { |
| 278 | std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc}; |
| 279 | ConcatFloat32TwoInputsTest(backends); |
| 280 | } |
| 281 | |
| 282 | TEST_CASE ("Concatenation_Three_Inputs_GpuAcc_Test") |
| 283 | { |
| 284 | std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc}; |
| 285 | ConcatThreeInputsTest(backends); |
| 286 | } |
| 287 | |
Teresa Charlin | 69b67d8 | 2023-01-05 17:24:34 +0000 | [diff] [blame] | 288 | TEST_CASE ("Concatenation_Axis_GpuAcc_Test") |
Matthew Sloyan | 91c4171 | 2020-11-13 09:47:35 +0000 | [diff] [blame] | 289 | { |
| 290 | std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc}; |
| 291 | ConcatAxisTest(backends); |
| 292 | } |
| 293 | |
| 294 | } |
| 295 | |
| 296 | TEST_SUITE("Concatenation_CpuRefTests") |
| 297 | { |
| 298 | |
| 299 | TEST_CASE ("Concatenation_Uint8_CpuRef_Test") |
| 300 | { |
| 301 | std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef}; |
| 302 | ConcatUint8TwoInputsTest(backends); |
| 303 | } |
| 304 | |
| 305 | TEST_CASE ("Concatenation_Int16_CpuRef_Test") |
| 306 | { |
| 307 | std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef}; |
| 308 | ConcatInt16TwoInputsTest(backends); |
| 309 | } |
| 310 | |
| 311 | TEST_CASE ("Concatenation_Float32_CpuRef_Test") |
| 312 | { |
| 313 | std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef}; |
| 314 | ConcatFloat32TwoInputsTest(backends); |
| 315 | } |
| 316 | |
| 317 | TEST_CASE ("Concatenation_Three_Inputs_CpuRef_Test") |
| 318 | { |
| 319 | std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef}; |
| 320 | ConcatThreeInputsTest(backends); |
| 321 | } |
| 322 | |
| 323 | TEST_CASE ("Concatenation_Axis_CpuRef_Test") |
| 324 | { |
| 325 | std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef}; |
| 326 | ConcatAxisTest(backends); |
| 327 | } |
| 328 | |
| 329 | } |
| 330 | |
| 331 | // MEAN Tests |
| 332 | TEST_SUITE("Mean_CpuAccTests") |
| 333 | { |
| 334 | |
| 335 | TEST_CASE ("Mean_Uint8_KeepDims_CpuAcc_Test") |
| 336 | { |
| 337 | std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc}; |
| 338 | MeanUint8KeepDimsTest(backends); |
| 339 | } |
| 340 | |
| 341 | TEST_CASE ("Mean_Uint8_CpuAcc_Test") |
| 342 | { |
| 343 | std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc}; |
| 344 | MeanUint8Test(backends); |
| 345 | } |
| 346 | |
| 347 | TEST_CASE ("Mean_Fp32_KeepDims_CpuAcc_Test") |
| 348 | { |
| 349 | std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc}; |
| 350 | MeanFp32KeepDimsTest(backends); |
| 351 | } |
| 352 | |
| 353 | TEST_CASE ("Mean_Fp32_CpuAcc_Test") |
| 354 | { |
| 355 | std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc}; |
| 356 | MeanFp32Test(backends); |
| 357 | } |
| 358 | |
| 359 | } |
| 360 | |
| 361 | TEST_SUITE("Mean_GpuAccTests") |
| 362 | { |
| 363 | |
| 364 | TEST_CASE ("Mean_Uint8_KeepDims_GpuAcc_Test") |
| 365 | { |
| 366 | std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc}; |
| 367 | MeanUint8KeepDimsTest(backends); |
| 368 | } |
| 369 | |
| 370 | TEST_CASE ("Mean_Uint8_GpuAcc_Test") |
| 371 | { |
| 372 | std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc}; |
| 373 | MeanUint8Test(backends); |
| 374 | } |
| 375 | |
| 376 | TEST_CASE ("Mean_Fp32_KeepDims_GpuAcc_Test") |
| 377 | { |
| 378 | std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc}; |
| 379 | MeanFp32KeepDimsTest(backends); |
| 380 | } |
| 381 | |
| 382 | TEST_CASE ("Mean_Fp32_GpuAcc_Test") |
| 383 | { |
| 384 | std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc}; |
| 385 | MeanFp32Test(backends); |
| 386 | } |
| 387 | |
| 388 | } |
| 389 | |
| 390 | TEST_SUITE("Mean_CpuRefTests") |
| 391 | { |
| 392 | |
| 393 | TEST_CASE ("Mean_Uint8_KeepDims_CpuRef_Test") |
| 394 | { |
| 395 | std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef}; |
| 396 | MeanUint8KeepDimsTest(backends); |
| 397 | } |
| 398 | |
| 399 | TEST_CASE ("Mean_Uint8_CpuRef_Test") |
| 400 | { |
| 401 | std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef}; |
| 402 | MeanUint8Test(backends); |
| 403 | } |
| 404 | |
| 405 | TEST_CASE ("Mean_Fp32_KeepDims_CpuRef_Test") |
| 406 | { |
| 407 | std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef}; |
| 408 | MeanFp32KeepDimsTest(backends); |
| 409 | } |
| 410 | |
| 411 | TEST_CASE ("Mean_Fp32_CpuRef_Test") |
| 412 | { |
| 413 | std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef}; |
| 414 | MeanFp32Test(backends); |
| 415 | } |
| 416 | |
| 417 | } |
| 418 | |
| 419 | } // namespace armnnDelegate |