| Idriss Chaouch | 564c13d | 2023-09-01 17:58:38 +0100 | [diff] [blame^] | 1 | // |
| 2 | // Copyright © 2023 Arm Ltd and Contributors. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "ParserFlatbuffersFixture.hpp" |
| 7 | |
| 8 | TEST_SUITE("TensorflowLiteParser_BroadcastTo") |
| 9 | { |
| 10 | struct BroadcastToFixture : public ParserFlatbuffersFixture |
| 11 | { |
| 12 | explicit BroadcastToFixture(const std::string& inputShape1, |
| 13 | const std::string& inputShape2, |
| 14 | const std::string& shapeShape, |
| 15 | const std::string& outputBroadcastToShape, |
| 16 | const std::string& outputShape, |
| 17 | const std::string& shapeData, |
| 18 | const bool checkThrows, |
| 19 | const std::string& scale = "1.0", |
| 20 | const std::string& offset = "0") |
| 21 | { |
| 22 | m_JsonString = R"( |
| 23 | { |
| 24 | "version": 3, |
| 25 | "operator_codes": [ |
| 26 | { |
| 27 | "deprecated_builtin_code": 127, |
| 28 | "version": 2, |
| 29 | "builtin_code": "BROADCAST_TO" |
| 30 | }, |
| 31 | { |
| 32 | "version": 1, |
| 33 | "builtin_code": "MUL" |
| 34 | } |
| 35 | ], |
| 36 | "subgraphs": [ |
| 37 | { |
| 38 | "tensors": [ |
| 39 | { |
| 40 | "shape": )" + inputShape1 + R"(, |
| 41 | "type": "FLOAT32", |
| 42 | "buffer": 1, |
| 43 | "name": "inputTensor1", |
| 44 | "quantization":{ |
| 45 | "min": [ 0.0 ], |
| 46 | "max": [ 255.0 ], |
| 47 | "scale": [ )" + scale + R"( ], |
| 48 | "zero_point": [ )" + offset + R"( ], |
| 49 | }, |
| 50 | "is_variable": false, |
| 51 | "shape_signature": [ |
| 52 | -1, |
| 53 | 3 |
| 54 | ], |
| 55 | "has_rank": true |
| 56 | }, |
| 57 | { |
| 58 | "shape": )" + inputShape2 + R"(, |
| 59 | "type": "FLOAT32", |
| 60 | "buffer": 2, |
| 61 | "name": "inputTensor2", |
| 62 | "quantization": { |
| 63 | "min": [ 0.0 ], |
| 64 | "max": [ 255.0 ], |
| 65 | "scale": [ )" + scale + R"( ], |
| 66 | "zero_point": [ )" + offset + R"( ], |
| 67 | }, |
| 68 | "is_variable": false, |
| 69 | "shape_signature": [ |
| 70 | -1, |
| 71 | 3 |
| 72 | ], |
| 73 | "has_rank": true |
| 74 | }, |
| 75 | { |
| 76 | "shape": )" + shapeShape + R"(, |
| 77 | "type": "INT32", |
| 78 | "buffer": 3, |
| 79 | "name": "shape", |
| 80 | "quantization": { |
| 81 | "details_type": "NONE", |
| 82 | "quantized_dimension": 0 |
| 83 | }, |
| 84 | "is_variable": false, |
| 85 | "shape_signature": [ |
| 86 | -1 |
| 87 | ], |
| 88 | "has_rank": true |
| 89 | }, |
| 90 | { |
| 91 | "shape": )" + outputBroadcastToShape + R"(, |
| 92 | "type": "FLOAT32", |
| 93 | "buffer": 4, |
| 94 | "name": "model/tf.broadcast_to/BroadcastTo", |
| 95 | "quantization": { |
| 96 | "min": [ 0.0 ], |
| 97 | "max": [ 255.0 ], |
| 98 | "scale": [ )" + scale + R"( ], |
| 99 | "zero_point": [ )" + offset + R"( ], |
| 100 | }, |
| 101 | "is_variable": false, |
| 102 | "has_rank": false |
| 103 | }, |
| 104 | { |
| 105 | "shape": )" + outputShape + R"(, |
| 106 | "type": "FLOAT32", |
| 107 | "buffer": 5, |
| 108 | "name": "outputTensor", |
| 109 | "quantization": { |
| 110 | "min": [ 0.0 ], |
| 111 | "max": [ 255.0 ], |
| 112 | "scale": [ )" + scale + R"( ], |
| 113 | "zero_point": [ )" + offset + R"( ], |
| 114 | }, |
| 115 | "is_variable": false, |
| 116 | "has_rank": false |
| 117 | } |
| 118 | ], |
| 119 | "inputs": [ |
| 120 | 0, |
| 121 | 1, |
| 122 | 2 |
| 123 | ], |
| 124 | "outputs": [ |
| 125 | 4 |
| 126 | ], |
| 127 | "operators": [ |
| 128 | { |
| 129 | "opcode_index": 0, |
| 130 | "inputs": [ |
| 131 | 0, |
| 132 | 2 |
| 133 | ], |
| 134 | "outputs": [ |
| 135 | 3 |
| 136 | ], |
| 137 | "builtin_options_type": "NONE", |
| 138 | "custom_options_format": "FLEXBUFFERS" |
| 139 | }, |
| 140 | { |
| 141 | "opcode_index": 1, |
| 142 | "inputs": [ |
| 143 | 1, |
| 144 | 3 |
| 145 | ], |
| 146 | "outputs": [ |
| 147 | 4 |
| 148 | ], |
| 149 | "builtin_options_type": "MulOptions", |
| 150 | "builtin_options": { |
| 151 | "fused_activation_function": "NONE" |
| 152 | }, |
| 153 | "custom_options_format": "FLEXBUFFERS" |
| 154 | } |
| 155 | ], |
| 156 | "name": "main" |
| 157 | } |
| 158 | ], |
| 159 | "description": "MLIR Converted.", |
| 160 | "buffers": [ |
| 161 | { |
| 162 | }, |
| 163 | { |
| 164 | }, |
| 165 | { |
| 166 | }, |
| 167 | { |
| 168 | )" + shapeData + R"( |
| 169 | }, |
| 170 | { |
| 171 | }, |
| 172 | { |
| 173 | }, |
| 174 | { |
| 175 | }, |
| 176 | { |
| 177 | } |
| 178 | ], |
| 179 | "metadata": [ |
| 180 | { |
| 181 | "name": "min_runtime_version", |
| 182 | "buffer": 6 |
| 183 | }, |
| 184 | { |
| 185 | "name": "CONVERSION_METADATA", |
| 186 | "buffer": 7 |
| 187 | } |
| 188 | ], |
| 189 | "signature_defs": [ |
| 190 | |
| 191 | ] |
| 192 | } |
| 193 | )"; |
| 194 | if(checkThrows) |
| 195 | { |
| 196 | CHECK_THROWS_AS(Setup(), armnn::ParseException); |
| 197 | } |
| 198 | else |
| 199 | { |
| 200 | Setup(); |
| 201 | } |
| 202 | } |
| 203 | }; |
| 204 | |
| 205 | struct BroadcastToSimpleFixture : public ParserFlatbuffersFixture |
| 206 | { |
| 207 | explicit BroadcastToSimpleFixture(const std::string& inputShape, |
| 208 | const std::string& shapeShape, |
| 209 | const std::string& outputShape, |
| 210 | const std::string& shapeData, |
| 211 | const std::string& dataType, |
| 212 | const std::string& scale = "1.0", |
| 213 | const std::string& offset = "0") |
| 214 | { |
| 215 | m_JsonString = R"( |
| 216 | { |
| 217 | "version": 3, |
| 218 | "operator_codes": [ |
| 219 | { |
| 220 | "deprecated_builtin_code": 127, |
| 221 | "version": 2, |
| 222 | "builtin_code": "BROADCAST_TO" |
| 223 | } |
| 224 | ], |
| 225 | "subgraphs": [ |
| 226 | { |
| 227 | "tensors": [ |
| 228 | { |
| 229 | "shape": )" + inputShape + R"(, |
| 230 | "type": )" + dataType + R"(, |
| 231 | "buffer": 1, |
| 232 | "name": "input1", |
| 233 | "quantization": { |
| 234 | "min": [ 0.0 ], |
| 235 | "max": [ 255.0 ], |
| 236 | "scale": [ )" + scale + R"( ], |
| 237 | "zero_point": [ )" + offset + R"( ], |
| 238 | }, |
| 239 | "is_variable": false, |
| 240 | "shape_signature": [ |
| 241 | -1, |
| 242 | 3 |
| 243 | ], |
| 244 | "has_rank": true |
| 245 | }, |
| 246 | { |
| 247 | "shape": )" + shapeShape + R"(, |
| 248 | "type": "INT32", |
| 249 | "buffer": 2, |
| 250 | "name": "shape", |
| 251 | "quantization": { |
| 252 | "details_type": "NONE", |
| 253 | "quantized_dimension": 0 |
| 254 | }, |
| 255 | "is_variable": false, |
| 256 | "shape_signature": [ |
| 257 | -1 |
| 258 | ], |
| 259 | "has_rank": true |
| 260 | }, |
| 261 | { |
| 262 | "shape": )" + outputShape + R"(, |
| 263 | "type": )" + dataType + R"(, |
| 264 | "buffer": 3, |
| 265 | "name": "Identity", |
| 266 | "quantization": { |
| 267 | "min": [ 0.0 ], |
| 268 | "max": [ 255.0 ], |
| 269 | "scale": [ )" + scale + R"( ], |
| 270 | "zero_point": [ )" + offset + R"( ], |
| 271 | }, |
| 272 | "is_variable": false, |
| 273 | "has_rank": false |
| 274 | } |
| 275 | ], |
| 276 | "inputs": [ |
| 277 | 0, |
| 278 | 1 |
| 279 | ], |
| 280 | "outputs": [ |
| 281 | 2 |
| 282 | ], |
| 283 | "operators": [ |
| 284 | { |
| 285 | "opcode_index": 0, |
| 286 | "inputs": [ |
| 287 | 0, |
| 288 | 1 |
| 289 | ], |
| 290 | "outputs": [ |
| 291 | 2 |
| 292 | ], |
| 293 | "builtin_options_type": "NONE", |
| 294 | "custom_options_format": "FLEXBUFFERS" |
| 295 | } |
| 296 | ], |
| 297 | "name": "main" |
| 298 | } |
| 299 | ], |
| 300 | "description": "MLIR Converted.", |
| 301 | "buffers": [ |
| 302 | { |
| 303 | }, |
| 304 | { |
| 305 | }, |
| 306 | { |
| 307 | "data": )" + shapeData + R"(, |
| 308 | }, |
| 309 | { |
| 310 | }, |
| 311 | { |
| 312 | }, |
| 313 | { |
| 314 | } |
| 315 | ], |
| 316 | "metadata": [ |
| 317 | { |
| 318 | "name": "min_runtime_version", |
| 319 | "buffer": 4 |
| 320 | }, |
| 321 | { |
| 322 | "name": "CONVERSION_METADATA", |
| 323 | "buffer": 5 |
| 324 | } |
| 325 | ], |
| 326 | "signature_defs": [ |
| 327 | |
| 328 | ] |
| 329 | } |
| 330 | )"; |
| 331 | SetupSingleInputSingleOutput("inputTensor", "outputTensor"); |
| 332 | } |
| 333 | }; |
| 334 | |
| 335 | struct SimpleBroadcastToSimpleFixtureFloat32 : public BroadcastToSimpleFixture |
| 336 | { |
| 337 | SimpleBroadcastToSimpleFixtureFloat32() : BroadcastToSimpleFixture("[1, 4]", |
| 338 | "[2]", |
| 339 | "[3, 4]", |
| 340 | "[3, 0, 0, 0, 4, 0, 0, 0]", |
| 341 | "FLOAT32") {} |
| 342 | }; |
| 343 | |
| 344 | TEST_CASE_FIXTURE(SimpleBroadcastToSimpleFixtureFloat32, "SimpleParseBroadcastToFloat32") |
| 345 | { |
| 346 | RunTest<2, armnn::DataType::Float32, armnn::DataType::Float32> |
| 347 | (0, {{ "input1", { 1.f, 2.f, 3.f, 4.f }}}, |
| 348 | {{ "Identity", { 1.f, 2.f, 3.f, 4.f, |
| 349 | 1.f, 2.f, 3.f, 4.f, |
| 350 | 1.f, 2.f, 3.f, 4.f}}}); |
| 351 | |
| 352 | } |
| 353 | struct SimpleBroadcastToSimpleFixtureSigned32 : public BroadcastToSimpleFixture |
| 354 | { |
| 355 | SimpleBroadcastToSimpleFixtureSigned32() : BroadcastToSimpleFixture("[1, 4]", |
| 356 | "[2]", |
| 357 | "[3, 4]", |
| 358 | "[3, 0, 0, 0, 4, 0, 0, 0]", |
| 359 | "INT32") {} |
| 360 | }; |
| 361 | |
| 362 | TEST_CASE_FIXTURE(SimpleBroadcastToSimpleFixtureSigned32, "SimpleParseBroadcastToSigned32") |
| 363 | { |
| 364 | RunTest<2, armnn::DataType::Signed32, armnn::DataType::Signed32> |
| 365 | (0, {{ "input1", { 1, 2, 3, -4 }}}, |
| 366 | {{ "Identity", { 1, 2, 3, -4, |
| 367 | 1, 2, 3, -4, |
| 368 | 1, 2, 3, -4}}}); |
| 369 | |
| 370 | } |
| 371 | |
| 372 | struct SimpleBroadcastToSimpleFixtureQAsymmU8 : public BroadcastToSimpleFixture |
| 373 | { |
| 374 | SimpleBroadcastToSimpleFixtureQAsymmU8() : BroadcastToSimpleFixture("[1, 4]", |
| 375 | "[2]", |
| 376 | "[3, 4]", |
| 377 | "[3, 0, 0, 0, 4, 0, 0, 0]", |
| 378 | "UINT8") {} |
| 379 | }; |
| 380 | |
| 381 | TEST_CASE_FIXTURE(SimpleBroadcastToSimpleFixtureQAsymmU8, "SimpleParseBroadcastToQAsymmU8") |
| 382 | { |
| 383 | RunTest<2, armnn::DataType::QAsymmU8, armnn::DataType::QAsymmU8> |
| 384 | (0, {{ "input1", { 1, 2, 3, 4 }}}, |
| 385 | {{ "Identity", { 1, 2, 3, 4, |
| 386 | 1, 2, 3, 4, |
| 387 | 1, 2, 3, 4}}}); |
| 388 | |
| 389 | } |
| 390 | |
| 391 | struct SimpleBroadcastToFixture : public BroadcastToFixture |
| 392 | { |
| 393 | SimpleBroadcastToFixture() : BroadcastToFixture("[1, 4]", |
| 394 | "[3, 4]", |
| 395 | "[2]", |
| 396 | "[3, 4]", |
| 397 | "[3, 4]", |
| 398 | "\"data\":[3, 0, 0, 0, 4, 0, 0, 0]", |
| 399 | false) {} |
| 400 | }; |
| 401 | |
| 402 | TEST_CASE_FIXTURE(SimpleBroadcastToFixture, "ParseBroadcastTo") |
| 403 | { |
| 404 | RunTest<2, armnn::DataType::Float32, armnn::DataType::Float32, armnn::DataType::Float32> |
| 405 | ( |
| 406 | 0, {{ "inputTensor1", { 1, 2, 3, 4 }}}, |
| 407 | {{"inputTensor2", {1, 1, 1, 1, |
| 408 | 1, 1, 1, 1, |
| 409 | 1, 1, 1, 1}}}, |
| 410 | {{ "outputTensor", { 1, 2, 3, 4, |
| 411 | 1, 2, 3, 4, |
| 412 | 1, 2, 3, 4}}} |
| 413 | ); |
| 414 | |
| 415 | } |
| 416 | |
| 417 | struct DynamicBroadcastToFixture : public BroadcastToFixture |
| 418 | { |
| 419 | DynamicBroadcastToFixture() : BroadcastToFixture("[1, 4]", |
| 420 | "[3, 4]", |
| 421 | "[2]", |
| 422 | "[3, 4]", |
| 423 | "[3, 4]", |
| 424 | "\"data\":[3, 0, 0, 0, 4, 0, 0, 0]", |
| 425 | false) {} |
| 426 | }; |
| 427 | |
| 428 | TEST_CASE_FIXTURE(DynamicBroadcastToFixture, "DynamicParseBroadcastTo") |
| 429 | { |
| 430 | RunTest<2, armnn::DataType::Float32, armnn::DataType::Float32, armnn::DataType::Float32> |
| 431 | ( |
| 432 | 0, {{ "inputTensor1", { 1, 2, 3, 4 }}}, |
| 433 | {{"inputTensor2", {1, 1, 1, 1, |
| 434 | 1, 1, 1, 1, |
| 435 | 1, 1, 1, 1}}}, |
| 436 | {{ "outputTensor", { 1, 2, 3, 4, |
| 437 | 1, 2, 3, 4, |
| 438 | 1, 2, 3, 4}}} |
| 439 | ); |
| 440 | |
| 441 | } |
| 442 | |
| 443 | struct DynamicBroadcastToFixtureNoOutputShape : public BroadcastToFixture |
| 444 | { |
| 445 | DynamicBroadcastToFixtureNoOutputShape() : BroadcastToFixture("[1, 4]", |
| 446 | "[3, 4]", |
| 447 | "[2]", |
| 448 | "[]", |
| 449 | "[3, 4]", |
| 450 | "\"data\":[3, 0, 0, 0, 4, 0, 0, 0]", |
| 451 | false) {} |
| 452 | }; |
| 453 | |
| 454 | TEST_CASE_FIXTURE(DynamicBroadcastToFixtureNoOutputShape, "DynamicParseBroadcastToNoOutputShape") |
| 455 | { |
| 456 | RunTest<2, armnn::DataType::Float32, armnn::DataType::Float32, armnn::DataType::Float32> |
| 457 | ( |
| 458 | 0, {{ "inputTensor1", { 1, 2, 3, 4 }}}, |
| 459 | {{"inputTensor2", {1, 1, 1, 1, |
| 460 | 1, 1, 1, 1, |
| 461 | 1, 1, 1, 1}}}, |
| 462 | {{ "outputTensor", { 1, 2, 3, 4, |
| 463 | 1, 2, 3, 4, |
| 464 | 1, 2, 3, 4}}} |
| 465 | ); |
| 466 | |
| 467 | } |
| 468 | |
| 469 | struct DynamicBroadcastToFixtureNoData : public BroadcastToFixture |
| 470 | { |
| 471 | DynamicBroadcastToFixtureNoData() : BroadcastToFixture("[1, 4]", |
| 472 | "[3, 4]", |
| 473 | "[2]", |
| 474 | "[3, 4]", |
| 475 | "[3, 4]", |
| 476 | "", |
| 477 | false) {} |
| 478 | }; |
| 479 | |
| 480 | TEST_CASE_FIXTURE(DynamicBroadcastToFixtureNoData, "DynamicParseBroadcastToNoData") |
| 481 | { |
| 482 | RunTest<2, armnn::DataType::Float32, armnn::DataType::Float32, armnn::DataType::Float32> |
| 483 | ( |
| 484 | 0, {{ "inputTensor1", { 1, 2, 3, 4 }}}, |
| 485 | {{"inputTensor2", {1, 1, 1, 1, |
| 486 | 1, 1, 1, 1, |
| 487 | 1, 1, 1, 1}}}, |
| 488 | {{ "outputTensor", { 1, 2, 3, 4, |
| 489 | 1, 2, 3, 4, |
| 490 | 1, 2, 3, 4}}} |
| 491 | ); |
| 492 | |
| 493 | } |
| 494 | |
| 495 | struct DynamicBroadcastToFixtureNoDataNoOutputShape : public BroadcastToFixture |
| 496 | { |
| 497 | DynamicBroadcastToFixtureNoDataNoOutputShape() : BroadcastToFixture("[1, 4]", |
| 498 | "[3, 4]", |
| 499 | "[2]", |
| 500 | "[]", |
| 501 | "[3, 4]", |
| 502 | "", true) { } |
| 503 | }; |
| 504 | |
| 505 | TEST_CASE_FIXTURE(DynamicBroadcastToFixtureNoDataNoOutputShape, "DynamicParseBroadcastToNoDataNoOutputShape") |
| 506 | { |
| 507 | } |
| 508 | } |