Matthew Sloyan | 91c4171 | 2020-11-13 09:47:35 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2020 Arm Ltd and Contributors. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "ControlTestHelper.hpp" |
| 7 | |
| 8 | #include <armnn_delegate.hpp> |
| 9 | |
| 10 | #include <flatbuffers/flatbuffers.h> |
| 11 | #include <tensorflow/lite/schema/schema_generated.h> |
| 12 | |
| 13 | #include <doctest/doctest.h> |
| 14 | |
| 15 | namespace armnnDelegate |
| 16 | { |
| 17 | |
| 18 | // CONCATENATION Operator |
| 19 | void ConcatUint8TwoInputsTest(std::vector<armnn::BackendId>& backends) |
| 20 | { |
| 21 | std::vector<int32_t> inputShape { 2, 2 }; |
| 22 | std::vector<int32_t> expectedOutputShape { 4, 2 }; |
| 23 | |
| 24 | // Set input and output data |
| 25 | std::vector<std::vector<uint8_t>> inputValues; |
| 26 | std::vector<uint8_t> inputValue1 { 0, 1, 2, 3 }; // Lower bounds |
| 27 | std::vector<uint8_t> inputValue2 { 252, 253, 254, 255 }; // Upper bounds |
| 28 | inputValues.push_back(inputValue1); |
| 29 | inputValues.push_back(inputValue2); |
| 30 | |
| 31 | std::vector<uint8_t> expectedOutputValues { 0, 1, 2, 3, 252, 253, 254, 255 }; |
| 32 | |
| 33 | ConcatenationTest<uint8_t>(tflite::BuiltinOperator_CONCATENATION, |
| 34 | ::tflite::TensorType_UINT8, |
| 35 | backends, |
| 36 | inputShape, |
| 37 | expectedOutputShape, |
| 38 | inputValues, |
| 39 | expectedOutputValues); |
| 40 | } |
| 41 | |
| 42 | void ConcatInt16TwoInputsTest(std::vector<armnn::BackendId>& backends) |
| 43 | { |
| 44 | std::vector<int32_t> inputShape { 2, 2 }; |
| 45 | std::vector<int32_t> expectedOutputShape { 4, 2 }; |
| 46 | |
| 47 | std::vector<std::vector<int16_t>> inputValues; |
| 48 | std::vector<int16_t> inputValue1 { -32768, -16384, -1, 0 }; |
| 49 | std::vector<int16_t> inputValue2 { 1, 2, 16384, 32767 }; |
| 50 | inputValues.push_back(inputValue1); |
| 51 | inputValues.push_back(inputValue2); |
| 52 | |
| 53 | std::vector<int16_t> expectedOutputValues { -32768, -16384, -1, 0, 1, 2, 16384, 32767}; |
| 54 | |
| 55 | ConcatenationTest<int16_t>(tflite::BuiltinOperator_CONCATENATION, |
| 56 | ::tflite::TensorType_INT16, |
| 57 | backends, |
| 58 | inputShape, |
| 59 | expectedOutputShape, |
| 60 | inputValues, |
| 61 | expectedOutputValues); |
| 62 | } |
| 63 | |
| 64 | void ConcatFloat32TwoInputsTest(std::vector<armnn::BackendId>& backends) |
| 65 | { |
| 66 | std::vector<int32_t> inputShape { 2, 2 }; |
| 67 | std::vector<int32_t> expectedOutputShape { 4, 2 }; |
| 68 | |
| 69 | std::vector<std::vector<float>> inputValues; |
| 70 | std::vector<float> inputValue1 { -127.f, -126.f, -1.f, 0.f }; |
| 71 | std::vector<float> inputValue2 { 1.f, 2.f, 126.f, 127.f }; |
| 72 | inputValues.push_back(inputValue1); |
| 73 | inputValues.push_back(inputValue2); |
| 74 | |
| 75 | std::vector<float> expectedOutputValues { -127.f, -126.f, -1.f, 0.f, 1.f, 2.f, 126.f, 127.f }; |
| 76 | |
| 77 | ConcatenationTest<float>(tflite::BuiltinOperator_CONCATENATION, |
| 78 | ::tflite::TensorType_FLOAT32, |
| 79 | backends, |
| 80 | inputShape, |
| 81 | expectedOutputShape, |
| 82 | inputValues, |
| 83 | expectedOutputValues); |
| 84 | } |
| 85 | |
| 86 | void ConcatThreeInputsTest(std::vector<armnn::BackendId>& backends) |
| 87 | { |
| 88 | std::vector<int32_t> inputShape { 2, 2 }; |
| 89 | std::vector<int32_t> expectedOutputShape { 6, 2 }; |
| 90 | |
| 91 | std::vector<std::vector<uint8_t>> inputValues; |
| 92 | std::vector<uint8_t> inputValue1 { 0, 1, 2, 3 }; |
| 93 | std::vector<uint8_t> inputValue2 { 125, 126, 127, 128 }; |
| 94 | std::vector<uint8_t> inputValue3 { 252, 253, 254, 255 }; |
| 95 | inputValues.push_back(inputValue1); |
| 96 | inputValues.push_back(inputValue2); |
| 97 | inputValues.push_back(inputValue3); |
| 98 | |
| 99 | std::vector<uint8_t> expectedOutputValues { 0, 1, 2, 3, 125, 126, 127, 128, 252, 253, 254, 255 }; |
| 100 | |
| 101 | ConcatenationTest<uint8_t>(tflite::BuiltinOperator_CONCATENATION, |
| 102 | ::tflite::TensorType_UINT8, |
| 103 | backends, |
| 104 | inputShape, |
| 105 | expectedOutputShape, |
| 106 | inputValues, |
| 107 | expectedOutputValues); |
| 108 | } |
| 109 | |
| 110 | void ConcatAxisTest(std::vector<armnn::BackendId>& backends) |
| 111 | { |
| 112 | std::vector<int32_t> inputShape { 1, 2, 2 }; |
| 113 | std::vector<int32_t> expectedOutputShape { 1, 2, 4 }; |
| 114 | |
| 115 | std::vector<std::vector<uint8_t>> inputValues; |
| 116 | std::vector<uint8_t> inputValue1 { 0, 1, 2, 3 }; |
| 117 | std::vector<uint8_t> inputValue3 { 252, 253, 254, 255 }; |
| 118 | inputValues.push_back(inputValue1); |
| 119 | inputValues.push_back(inputValue3); |
| 120 | |
| 121 | std::vector<uint8_t> expectedOutputValues { 0, 1, 252, 253, 2, 3, 254, 255 }; |
| 122 | |
| 123 | ConcatenationTest<uint8_t>(tflite::BuiltinOperator_CONCATENATION, |
| 124 | ::tflite::TensorType_UINT8, |
| 125 | backends, |
| 126 | inputShape, |
| 127 | expectedOutputShape, |
| 128 | inputValues, |
| 129 | expectedOutputValues, |
| 130 | 2); |
| 131 | } |
| 132 | |
| 133 | // MEAN Operator |
| 134 | void MeanUint8KeepDimsTest(std::vector<armnn::BackendId>& backends) |
| 135 | { |
| 136 | std::vector<int32_t> input0Shape { 1, 3 }; |
| 137 | std::vector<int32_t> input1Shape { 1 }; |
| 138 | std::vector<int32_t> expectedOutputShape { 1, 1 }; |
| 139 | |
| 140 | std::vector<uint8_t> input0Values { 5, 10, 15 }; // Inputs |
| 141 | std::vector<int32_t> input1Values { 1 }; // Axis |
| 142 | |
| 143 | std::vector<uint8_t> expectedOutputValues { 10 }; |
| 144 | |
| 145 | MeanTest<uint8_t>(tflite::BuiltinOperator_MEAN, |
| 146 | ::tflite::TensorType_UINT8, |
| 147 | backends, |
| 148 | input0Shape, |
| 149 | input1Shape, |
| 150 | expectedOutputShape, |
| 151 | input0Values, |
| 152 | input1Values, |
| 153 | expectedOutputValues, |
| 154 | true); |
| 155 | } |
| 156 | |
| 157 | void MeanUint8Test(std::vector<armnn::BackendId>& backends) |
| 158 | { |
| 159 | std::vector<int32_t> input0Shape { 1, 2, 2 }; |
| 160 | std::vector<int32_t> input1Shape { 1 }; |
| 161 | std::vector<int32_t> expectedOutputShape { 2, 2 }; |
| 162 | |
| 163 | std::vector<uint8_t> input0Values { 5, 10, 15, 20 }; // Inputs |
| 164 | std::vector<int32_t> input1Values { 0 }; // Axis |
| 165 | |
| 166 | std::vector<uint8_t> expectedOutputValues { 5, 10, 15, 20 }; |
| 167 | |
| 168 | MeanTest<uint8_t>(tflite::BuiltinOperator_MEAN, |
| 169 | ::tflite::TensorType_UINT8, |
| 170 | backends, |
| 171 | input0Shape, |
| 172 | input1Shape, |
| 173 | expectedOutputShape, |
| 174 | input0Values, |
| 175 | input1Values, |
| 176 | expectedOutputValues, |
| 177 | false); |
| 178 | } |
| 179 | |
| 180 | void MeanFp32KeepDimsTest(std::vector<armnn::BackendId>& backends) |
| 181 | { |
| 182 | std::vector<int32_t> input0Shape { 1, 2, 2 }; |
| 183 | std::vector<int32_t> input1Shape { 1 }; |
| 184 | std::vector<int32_t> expectedOutputShape { 1, 1, 2 }; |
| 185 | |
| 186 | std::vector<float> input0Values { 1.0f, 1.5f, 2.0f, 2.5f }; // Inputs |
| 187 | std::vector<int32_t> input1Values { 1 }; // Axis |
| 188 | |
| 189 | std::vector<float> expectedOutputValues { 1.5f, 2.0f }; |
| 190 | |
| 191 | MeanTest<float>(tflite::BuiltinOperator_MEAN, |
| 192 | ::tflite::TensorType_FLOAT32, |
| 193 | backends, |
| 194 | input0Shape, |
| 195 | input1Shape, |
| 196 | expectedOutputShape, |
| 197 | input0Values, |
| 198 | input1Values, |
| 199 | expectedOutputValues, |
| 200 | true); |
| 201 | } |
| 202 | |
| 203 | void MeanFp32Test(std::vector<armnn::BackendId>& backends) |
| 204 | { |
| 205 | std::vector<int32_t> input0Shape { 1, 2, 2, 1 }; |
| 206 | std::vector<int32_t> input1Shape { 1 }; |
| 207 | std::vector<int32_t> expectedOutputShape { 1, 2, 1 }; |
| 208 | |
| 209 | std::vector<float> input0Values { 1.0f, 1.5f, 2.0f, 2.5f }; // Inputs |
| 210 | std::vector<int32_t> input1Values { 2 }; // Axis |
| 211 | |
| 212 | std::vector<float> expectedOutputValues { 1.25f, 2.25f }; |
| 213 | |
| 214 | MeanTest<float>(tflite::BuiltinOperator_MEAN, |
| 215 | ::tflite::TensorType_FLOAT32, |
| 216 | backends, |
| 217 | input0Shape, |
| 218 | input1Shape, |
| 219 | expectedOutputShape, |
| 220 | input0Values, |
| 221 | input1Values, |
| 222 | expectedOutputValues, |
| 223 | false); |
| 224 | } |
| 225 | |
| 226 | // CONCATENATION Tests. |
| 227 | TEST_SUITE("Concatenation_CpuAccTests") |
| 228 | { |
| 229 | |
| 230 | TEST_CASE ("Concatenation_Uint8_CpuAcc_Test") |
| 231 | { |
| 232 | std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc}; |
| 233 | ConcatUint8TwoInputsTest(backends); |
| 234 | } |
| 235 | |
| 236 | TEST_CASE ("Concatenation_Int16_CpuAcc_Test") |
| 237 | { |
| 238 | std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc}; |
| 239 | ConcatInt16TwoInputsTest(backends); |
| 240 | } |
| 241 | |
| 242 | TEST_CASE ("Concatenation_Float32_CpuAcc_Test") |
| 243 | { |
| 244 | std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc}; |
| 245 | ConcatFloat32TwoInputsTest(backends); |
| 246 | } |
| 247 | |
| 248 | TEST_CASE ("Concatenation_Three_Inputs_CpuAcc_Test") |
| 249 | { |
| 250 | std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc}; |
| 251 | ConcatThreeInputsTest(backends); |
| 252 | } |
| 253 | |
| 254 | TEST_CASE ("Concatenation_Axis_CpuAcc_Test") |
| 255 | { |
| 256 | std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc}; |
| 257 | ConcatAxisTest(backends); |
| 258 | } |
| 259 | |
| 260 | } |
| 261 | |
| 262 | TEST_SUITE("Concatenation_GpuAccTests") |
| 263 | { |
| 264 | |
| 265 | TEST_CASE ("Concatenation_Uint8_GpuAcc_Test") |
| 266 | { |
| 267 | std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc}; |
| 268 | ConcatUint8TwoInputsTest(backends); |
| 269 | } |
| 270 | |
| 271 | TEST_CASE ("Concatenation_Int16_GpuAcc_Test") |
| 272 | { |
| 273 | std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc}; |
| 274 | ConcatInt16TwoInputsTest(backends); |
| 275 | } |
| 276 | |
| 277 | TEST_CASE ("Concatenation_Float32_GpuAcc_Test") |
| 278 | { |
| 279 | std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc}; |
| 280 | ConcatFloat32TwoInputsTest(backends); |
| 281 | } |
| 282 | |
| 283 | TEST_CASE ("Concatenation_Three_Inputs_GpuAcc_Test") |
| 284 | { |
| 285 | std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc}; |
| 286 | ConcatThreeInputsTest(backends); |
| 287 | } |
| 288 | |
| 289 | TEST_CASE ("Concatenation_Axis_CpuRef_Test") |
| 290 | { |
| 291 | std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc}; |
| 292 | ConcatAxisTest(backends); |
| 293 | } |
| 294 | |
| 295 | } |
| 296 | |
| 297 | TEST_SUITE("Concatenation_CpuRefTests") |
| 298 | { |
| 299 | |
| 300 | TEST_CASE ("Concatenation_Uint8_CpuRef_Test") |
| 301 | { |
| 302 | std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef}; |
| 303 | ConcatUint8TwoInputsTest(backends); |
| 304 | } |
| 305 | |
| 306 | TEST_CASE ("Concatenation_Int16_CpuRef_Test") |
| 307 | { |
| 308 | std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef}; |
| 309 | ConcatInt16TwoInputsTest(backends); |
| 310 | } |
| 311 | |
| 312 | TEST_CASE ("Concatenation_Float32_CpuRef_Test") |
| 313 | { |
| 314 | std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef}; |
| 315 | ConcatFloat32TwoInputsTest(backends); |
| 316 | } |
| 317 | |
| 318 | TEST_CASE ("Concatenation_Three_Inputs_CpuRef_Test") |
| 319 | { |
| 320 | std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef}; |
| 321 | ConcatThreeInputsTest(backends); |
| 322 | } |
| 323 | |
| 324 | TEST_CASE ("Concatenation_Axis_CpuRef_Test") |
| 325 | { |
| 326 | std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef}; |
| 327 | ConcatAxisTest(backends); |
| 328 | } |
| 329 | |
| 330 | } |
| 331 | |
| 332 | // MEAN Tests |
| 333 | TEST_SUITE("Mean_CpuAccTests") |
| 334 | { |
| 335 | |
| 336 | TEST_CASE ("Mean_Uint8_KeepDims_CpuAcc_Test") |
| 337 | { |
| 338 | std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc}; |
| 339 | MeanUint8KeepDimsTest(backends); |
| 340 | } |
| 341 | |
| 342 | TEST_CASE ("Mean_Uint8_CpuAcc_Test") |
| 343 | { |
| 344 | std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc}; |
| 345 | MeanUint8Test(backends); |
| 346 | } |
| 347 | |
| 348 | TEST_CASE ("Mean_Fp32_KeepDims_CpuAcc_Test") |
| 349 | { |
| 350 | std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc}; |
| 351 | MeanFp32KeepDimsTest(backends); |
| 352 | } |
| 353 | |
| 354 | TEST_CASE ("Mean_Fp32_CpuAcc_Test") |
| 355 | { |
| 356 | std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc}; |
| 357 | MeanFp32Test(backends); |
| 358 | } |
| 359 | |
| 360 | } |
| 361 | |
| 362 | TEST_SUITE("Mean_GpuAccTests") |
| 363 | { |
| 364 | |
| 365 | TEST_CASE ("Mean_Uint8_KeepDims_GpuAcc_Test") |
| 366 | { |
| 367 | std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc}; |
| 368 | MeanUint8KeepDimsTest(backends); |
| 369 | } |
| 370 | |
| 371 | TEST_CASE ("Mean_Uint8_GpuAcc_Test") |
| 372 | { |
| 373 | std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc}; |
| 374 | MeanUint8Test(backends); |
| 375 | } |
| 376 | |
| 377 | TEST_CASE ("Mean_Fp32_KeepDims_GpuAcc_Test") |
| 378 | { |
| 379 | std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc}; |
| 380 | MeanFp32KeepDimsTest(backends); |
| 381 | } |
| 382 | |
| 383 | TEST_CASE ("Mean_Fp32_GpuAcc_Test") |
| 384 | { |
| 385 | std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc}; |
| 386 | MeanFp32Test(backends); |
| 387 | } |
| 388 | |
| 389 | } |
| 390 | |
| 391 | TEST_SUITE("Mean_CpuRefTests") |
| 392 | { |
| 393 | |
| 394 | TEST_CASE ("Mean_Uint8_KeepDims_CpuRef_Test") |
| 395 | { |
| 396 | std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef}; |
| 397 | MeanUint8KeepDimsTest(backends); |
| 398 | } |
| 399 | |
| 400 | TEST_CASE ("Mean_Uint8_CpuRef_Test") |
| 401 | { |
| 402 | std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef}; |
| 403 | MeanUint8Test(backends); |
| 404 | } |
| 405 | |
| 406 | TEST_CASE ("Mean_Fp32_KeepDims_CpuRef_Test") |
| 407 | { |
| 408 | std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef}; |
| 409 | MeanFp32KeepDimsTest(backends); |
| 410 | } |
| 411 | |
| 412 | TEST_CASE ("Mean_Fp32_CpuRef_Test") |
| 413 | { |
| 414 | std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef}; |
| 415 | MeanFp32Test(backends); |
| 416 | } |
| 417 | |
| 418 | } |
| 419 | |
| 420 | } // namespace armnnDelegate |