telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
David Beck | ecb56cd | 2018-09-05 12:52:57 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 4 | // |
| 5 | |
| 6 | #include <boost/test/unit_test.hpp> |
| 7 | #include "armnnOnnxParser/IOnnxParser.hpp" |
| 8 | #include "ParserPrototxtFixture.hpp" |
| 9 | |
| 10 | BOOST_AUTO_TEST_SUITE(OnnxParser) |
| 11 | |
| 12 | // A MatMul in isolation, not connected to an add. Should result in a non-biased FullyConnected layer. |
| 13 | struct MatMulFixture : public armnnUtils::ParserPrototxtFixture<armnnOnnxParser::IOnnxParser> |
| 14 | { |
| 15 | MatMulFixture() |
| 16 | { |
| 17 | m_Prototext = R"( |
| 18 | ir_version: 3 |
| 19 | producer_name: "CNTK " |
| 20 | producer_version: "2.5.1 " |
| 21 | domain: "ai.cntk " |
| 22 | model_version: 1 |
| 23 | graph { |
| 24 | name: "CNTKGraph " |
| 25 | input { |
| 26 | name: "Input" |
| 27 | type { |
| 28 | tensor_type { |
Matteo Martincigh | 44a7167 | 2018-12-11 13:46:52 +0000 | [diff] [blame] | 29 | elem_type: 1 |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 30 | shape { |
| 31 | dim { |
| 32 | dim_value: 1 |
| 33 | } |
| 34 | dim { |
| 35 | dim_value: 1 |
| 36 | } |
| 37 | } |
| 38 | } |
| 39 | } |
| 40 | } |
| 41 | input { |
| 42 | name: "Const" |
| 43 | type { |
| 44 | tensor_type { |
Matteo Martincigh | 44a7167 | 2018-12-11 13:46:52 +0000 | [diff] [blame] | 45 | elem_type: 1 |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 46 | shape { |
| 47 | dim { |
| 48 | dim_value: 1 |
| 49 | } |
| 50 | dim { |
| 51 | dim_value: 1 |
| 52 | } |
| 53 | } |
| 54 | } |
| 55 | } |
| 56 | } |
| 57 | initializer { |
| 58 | dims: 1 |
Tee Jung | d94efa8 | 2019-11-01 11:55:21 +0000 | [diff] [blame] | 59 | dims: 1 |
Matteo Martincigh | 44a7167 | 2018-12-11 13:46:52 +0000 | [diff] [blame] | 60 | data_type: 1 |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 61 | float_data: 17.0 |
| 62 | name: "Const" |
| 63 | } |
| 64 | node { |
| 65 | input: "Input" |
| 66 | input: "Const" |
| 67 | output: "Output" |
| 68 | name: "SimpleMatmul" |
| 69 | op_type: "MatMul" |
| 70 | } |
| 71 | output { |
| 72 | name: "Output" |
| 73 | type { |
| 74 | tensor_type { |
Matteo Martincigh | 44a7167 | 2018-12-11 13:46:52 +0000 | [diff] [blame] | 75 | elem_type: 1 |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 76 | shape { |
| 77 | dim { |
| 78 | dim_value: 1 |
| 79 | } |
| 80 | dim { |
| 81 | dim_value: 1 |
| 82 | } |
| 83 | } |
| 84 | } |
| 85 | } |
| 86 | } |
| 87 | } |
| 88 | opset_import { |
| 89 | version: 7 |
| 90 | })"; |
| 91 | |
| 92 | Setup(); |
| 93 | } |
| 94 | }; |
| 95 | |
| 96 | BOOST_FIXTURE_TEST_CASE(MatMul, MatMulFixture) |
| 97 | { |
| 98 | RunTest<1>({{"Input", { 2 }}}, {{"Output", { 34 }}}); |
| 99 | } |
| 100 | |
| 101 | // In Onnx fully connected layers are expressed as a MatMul followed by an Add. |
| 102 | // The OnnxParser must detect this case and convert them to a FullyConnected layer. |
| 103 | struct FullyConnectedFixture : public armnnUtils::ParserPrototxtFixture<armnnOnnxParser::IOnnxParser> |
| 104 | { |
| 105 | FullyConnectedFixture() |
| 106 | { |
| 107 | m_Prototext = R"( |
| 108 | ir_version: 3 |
| 109 | producer_name: "CNTK " |
| 110 | producer_version: "2.5.1 " |
| 111 | domain: "ai.cntk " |
| 112 | model_version: 1 |
| 113 | graph { |
| 114 | name: "CNTKGraph " |
| 115 | input { |
| 116 | name: "Input" |
| 117 | type { |
| 118 | tensor_type { |
Matteo Martincigh | 44a7167 | 2018-12-11 13:46:52 +0000 | [diff] [blame] | 119 | elem_type: 1 |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 120 | shape { |
| 121 | dim { |
| 122 | dim_value: 1 |
| 123 | } |
| 124 | dim { |
| 125 | dim_value: 1 |
| 126 | } |
| 127 | } |
| 128 | } |
| 129 | } |
| 130 | } |
| 131 | input { |
| 132 | name: "Weight" |
| 133 | type { |
| 134 | tensor_type { |
Matteo Martincigh | 44a7167 | 2018-12-11 13:46:52 +0000 | [diff] [blame] | 135 | elem_type: 1 |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 136 | shape { |
| 137 | dim { |
| 138 | dim_value: 1 |
| 139 | } |
| 140 | dim { |
| 141 | dim_value: 1 |
| 142 | } |
| 143 | } |
| 144 | } |
| 145 | } |
| 146 | } |
| 147 | initializer { |
| 148 | dims: 1 |
Tee Jung | d94efa8 | 2019-11-01 11:55:21 +0000 | [diff] [blame] | 149 | dims: 1 |
Matteo Martincigh | 44a7167 | 2018-12-11 13:46:52 +0000 | [diff] [blame] | 150 | data_type: 1 |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 151 | float_data: 2 |
| 152 | name: "Weight" |
| 153 | } |
| 154 | input { |
| 155 | name: "Bias" |
| 156 | type { |
| 157 | tensor_type { |
Matteo Martincigh | 44a7167 | 2018-12-11 13:46:52 +0000 | [diff] [blame] | 158 | elem_type: 1 |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 159 | shape { |
| 160 | dim { |
| 161 | dim_value: 1 |
| 162 | } |
| 163 | } |
| 164 | } |
| 165 | } |
| 166 | } |
| 167 | initializer { |
| 168 | dims: 1 |
Matteo Martincigh | 44a7167 | 2018-12-11 13:46:52 +0000 | [diff] [blame] | 169 | data_type: 1 |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 170 | float_data: 1 |
| 171 | name: "Bias" |
| 172 | } |
| 173 | node { |
| 174 | input: "Input" |
| 175 | input: "Weight" |
| 176 | output: "AddInput" |
| 177 | name: "FCMatmul" |
| 178 | op_type: "MatMul" |
| 179 | } |
| 180 | node { |
| 181 | input: "AddInput" |
| 182 | input: "Bias" |
| 183 | output: "Output" |
| 184 | name: "FCAdd" |
| 185 | op_type: "Add" |
| 186 | } |
| 187 | value_info { |
| 188 | name: "AddInput" |
| 189 | type { |
| 190 | tensor_type { |
Matteo Martincigh | 44a7167 | 2018-12-11 13:46:52 +0000 | [diff] [blame] | 191 | elem_type: 1 |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 192 | shape { |
| 193 | dim { |
| 194 | dim_value: 1 |
| 195 | } |
| 196 | dim { |
| 197 | dim_value: 1 |
| 198 | } |
| 199 | } |
| 200 | } |
| 201 | } |
| 202 | } |
| 203 | output { |
| 204 | name: "Output" |
| 205 | type { |
| 206 | tensor_type { |
Matteo Martincigh | 44a7167 | 2018-12-11 13:46:52 +0000 | [diff] [blame] | 207 | elem_type: 1 |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 208 | shape { |
| 209 | dim { |
| 210 | dim_value: 1 |
| 211 | } |
| 212 | dim { |
| 213 | dim_value: 1 |
| 214 | } |
| 215 | } |
| 216 | } |
| 217 | } |
| 218 | } |
| 219 | } |
| 220 | opset_import { |
| 221 | version: 7 |
| 222 | })"; |
| 223 | |
| 224 | Setup(); |
| 225 | } |
| 226 | }; |
| 227 | |
| 228 | BOOST_FIXTURE_TEST_CASE(FullyConnected, FullyConnectedFixture) |
| 229 | { |
| 230 | RunTest<1>({{"Input", { 3 }}}, {{"Output", { 7 }}}); |
| 231 | } |
| 232 | |
| 233 | |
| 234 | // Similar to FullyConnectedFixture, but this time the MatMul's output is used by two Adds. This should result |
| 235 | // in two FullyConnected layers being created. |
| 236 | // I |
| 237 | // | |
| 238 | // M -- C |
| 239 | // / \' |
| 240 | // C-- A A -- C |
| 241 | // \ / |
| 242 | // A |
| 243 | struct MatMulUsedInTwoFcFixture : public armnnUtils::ParserPrototxtFixture<armnnOnnxParser::IOnnxParser> |
| 244 | { |
| 245 | MatMulUsedInTwoFcFixture() |
| 246 | { |
| 247 | m_Prototext = R"( |
| 248 | ir_version: 3 |
| 249 | producer_name: "CNTK " |
| 250 | producer_version: "2.5.1 " |
| 251 | domain: "ai.cntk " |
| 252 | model_version: 1 |
| 253 | graph { |
| 254 | name: "CNTKGraph " |
| 255 | input { |
| 256 | name: "Input" |
| 257 | type { |
| 258 | tensor_type { |
Matteo Martincigh | 44a7167 | 2018-12-11 13:46:52 +0000 | [diff] [blame] | 259 | elem_type: 1 |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 260 | shape { |
| 261 | dim { |
| 262 | dim_value: 1 |
| 263 | } |
| 264 | dim { |
| 265 | dim_value: 1 |
| 266 | } |
| 267 | } |
| 268 | } |
| 269 | } |
| 270 | } |
| 271 | input { |
| 272 | name: "Weight" |
| 273 | type { |
| 274 | tensor_type { |
Matteo Martincigh | 44a7167 | 2018-12-11 13:46:52 +0000 | [diff] [blame] | 275 | elem_type: 1 |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 276 | shape { |
| 277 | dim { |
| 278 | dim_value: 1 |
| 279 | } |
| 280 | dim { |
| 281 | dim_value: 1 |
| 282 | } |
| 283 | } |
| 284 | } |
| 285 | } |
| 286 | } |
| 287 | initializer { |
| 288 | dims: 1 |
Tee Jung | d94efa8 | 2019-11-01 11:55:21 +0000 | [diff] [blame] | 289 | dims: 1 |
Matteo Martincigh | 44a7167 | 2018-12-11 13:46:52 +0000 | [diff] [blame] | 290 | data_type: 1 |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 291 | float_data: 2 |
| 292 | name: "Weight" |
| 293 | } |
| 294 | input { |
| 295 | name: "Bias" |
| 296 | type { |
| 297 | tensor_type { |
Matteo Martincigh | 44a7167 | 2018-12-11 13:46:52 +0000 | [diff] [blame] | 298 | elem_type: 1 |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 299 | shape { |
| 300 | dim { |
| 301 | dim_value: 1 |
| 302 | } |
| 303 | } |
| 304 | } |
| 305 | } |
| 306 | } |
| 307 | initializer { |
| 308 | dims: 1 |
Matteo Martincigh | 44a7167 | 2018-12-11 13:46:52 +0000 | [diff] [blame] | 309 | data_type: 1 |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 310 | float_data: 1 |
| 311 | name: "Bias" |
| 312 | } |
| 313 | input { |
| 314 | name: "Bias_1" |
| 315 | type { |
| 316 | tensor_type { |
Matteo Martincigh | 44a7167 | 2018-12-11 13:46:52 +0000 | [diff] [blame] | 317 | elem_type: 1 |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 318 | shape { |
| 319 | dim { |
| 320 | dim_value: 1 |
| 321 | } |
| 322 | } |
| 323 | } |
| 324 | } |
| 325 | } |
| 326 | initializer { |
| 327 | dims: 1 |
Matteo Martincigh | 44a7167 | 2018-12-11 13:46:52 +0000 | [diff] [blame] | 328 | data_type: 1 |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 329 | float_data: 10.0 |
| 330 | name: "Bias_1" |
| 331 | } |
| 332 | node { |
| 333 | input: "Input" |
| 334 | input: "Weight" |
| 335 | output: "AddInput" |
| 336 | name: "FCMatmul" |
| 337 | op_type: "MatMul" |
| 338 | } |
| 339 | node { |
| 340 | input: "AddInput" |
| 341 | input: "Bias" |
| 342 | output: "AddOutput" |
| 343 | name: "FCAdd" |
| 344 | op_type: "Add" |
| 345 | } |
| 346 | node { |
| 347 | input: "AddInput" |
| 348 | input: "Bias_1" |
| 349 | output: "AddOutput_1" |
| 350 | name: "FCAdd_1" |
| 351 | op_type: "Add" |
| 352 | } |
| 353 | node { |
| 354 | input: "AddOutput" |
| 355 | input: "AddOutput_1" |
| 356 | output: "Output" |
| 357 | name: "FinalAdd" |
| 358 | op_type: "Add" |
| 359 | } |
| 360 | value_info { |
| 361 | name: "AddInput" |
| 362 | type { |
| 363 | tensor_type { |
Matteo Martincigh | 44a7167 | 2018-12-11 13:46:52 +0000 | [diff] [blame] | 364 | elem_type: 1 |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 365 | shape { |
| 366 | dim { |
| 367 | dim_value: 1 |
| 368 | } |
| 369 | dim { |
| 370 | dim_value: 1 |
| 371 | } |
| 372 | } |
| 373 | } |
| 374 | } |
| 375 | } |
| 376 | value_info { |
| 377 | name: "AddOutput" |
| 378 | type { |
| 379 | tensor_type { |
Matteo Martincigh | 44a7167 | 2018-12-11 13:46:52 +0000 | [diff] [blame] | 380 | elem_type: 1 |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 381 | shape { |
| 382 | dim { |
| 383 | dim_value: 1 |
| 384 | } |
| 385 | dim { |
| 386 | dim_value: 1 |
| 387 | } |
| 388 | } |
| 389 | } |
| 390 | } |
| 391 | } |
| 392 | value_info { |
| 393 | name: "AddOutput_1" |
| 394 | type { |
| 395 | tensor_type { |
Matteo Martincigh | 44a7167 | 2018-12-11 13:46:52 +0000 | [diff] [blame] | 396 | elem_type: 1 |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 397 | shape { |
| 398 | dim { |
| 399 | dim_value: 1 |
| 400 | } |
| 401 | dim { |
| 402 | dim_value: 1 |
| 403 | } |
| 404 | } |
| 405 | } |
| 406 | } |
| 407 | } |
| 408 | output { |
| 409 | name: "Output" |
| 410 | type { |
| 411 | tensor_type { |
Matteo Martincigh | 44a7167 | 2018-12-11 13:46:52 +0000 | [diff] [blame] | 412 | elem_type: 1 |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 413 | shape { |
| 414 | dim { |
| 415 | dim_value: 1 |
| 416 | } |
| 417 | dim { |
| 418 | dim_value: 1 |
| 419 | } |
| 420 | } |
| 421 | } |
| 422 | } |
| 423 | } |
| 424 | } |
| 425 | opset_import { |
| 426 | version: 7 |
| 427 | })"; |
| 428 | |
| 429 | Setup(); |
| 430 | } |
| 431 | }; |
| 432 | |
| 433 | BOOST_FIXTURE_TEST_CASE(MatMulUsedInTwoFc, MatMulUsedInTwoFcFixture) |
| 434 | { |
| 435 | RunTest<1>({{"Input", { 3 }}}, {{"Output", { 23 }}}); |
| 436 | } |
| 437 | |
| 438 | |
| 439 | // Similar to MatMulUsedInTwoFc, but this time the Adds are 'staggered' (see diagram), which means that only one |
| 440 | // FullyConnected layer can be created (the other should just be an Add). |
| 441 | // I |
| 442 | // | |
| 443 | // M -- C1 |
| 444 | // / \' |
| 445 | // C2 -- A | |
| 446 | // \ / |
| 447 | // A |
| 448 | struct MatMulUsedInTwoFcStaggeredFixture : public armnnUtils::ParserPrototxtFixture<armnnOnnxParser::IOnnxParser> |
| 449 | { |
| 450 | MatMulUsedInTwoFcStaggeredFixture() |
| 451 | { |
| 452 | m_Prototext = R"( |
| 453 | ir_version: 3 |
| 454 | producer_name: "CNTK " |
| 455 | producer_version: "2.5.1 " |
| 456 | domain: "ai.cntk " |
| 457 | model_version: 1 |
| 458 | graph { |
| 459 | name: "CNTKGraph " |
| 460 | input { |
| 461 | name: "Input" |
| 462 | type { |
| 463 | tensor_type { |
Matteo Martincigh | 44a7167 | 2018-12-11 13:46:52 +0000 | [diff] [blame] | 464 | elem_type: 1 |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 465 | shape { |
| 466 | dim { |
| 467 | dim_value: 1 |
| 468 | } |
| 469 | dim { |
| 470 | dim_value: 1 |
| 471 | } |
| 472 | } |
| 473 | } |
| 474 | } |
| 475 | } |
| 476 | input { |
| 477 | name: "Weight" |
| 478 | type { |
| 479 | tensor_type { |
Matteo Martincigh | 44a7167 | 2018-12-11 13:46:52 +0000 | [diff] [blame] | 480 | elem_type: 1 |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 481 | shape { |
| 482 | dim { |
| 483 | dim_value: 1 |
| 484 | } |
| 485 | dim { |
| 486 | dim_value: 1 |
| 487 | } |
| 488 | } |
| 489 | } |
| 490 | } |
| 491 | } |
| 492 | initializer { |
| 493 | dims: 1 |
Tee Jung | d94efa8 | 2019-11-01 11:55:21 +0000 | [diff] [blame] | 494 | dims: 1 |
Matteo Martincigh | 44a7167 | 2018-12-11 13:46:52 +0000 | [diff] [blame] | 495 | data_type: 1 |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 496 | float_data: 2 |
| 497 | name: "Weight" |
| 498 | } |
| 499 | input { |
| 500 | name: "Bias" |
| 501 | type { |
| 502 | tensor_type { |
Matteo Martincigh | 44a7167 | 2018-12-11 13:46:52 +0000 | [diff] [blame] | 503 | elem_type: 1 |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 504 | shape { |
| 505 | dim { |
| 506 | dim_value: 1 |
| 507 | } |
| 508 | } |
| 509 | } |
| 510 | } |
| 511 | } |
| 512 | initializer { |
| 513 | dims: 1 |
Matteo Martincigh | 44a7167 | 2018-12-11 13:46:52 +0000 | [diff] [blame] | 514 | data_type: 1 |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 515 | float_data: 1 |
| 516 | name: "Bias" |
| 517 | } |
| 518 | node { |
| 519 | input: "Input" |
| 520 | input: "Weight" |
| 521 | output: "AddInput" |
| 522 | name: "MatmulFC&NFC" |
| 523 | op_type: "MatMul" |
| 524 | } |
| 525 | node { |
| 526 | input: "AddInput" |
| 527 | input: "Bias" |
| 528 | output: "AddOutput" |
| 529 | name: "FCAdd" |
| 530 | op_type: "Add" |
| 531 | } |
| 532 | |
| 533 | node { |
| 534 | input: "AddInput" |
| 535 | input: "AddOutput" |
| 536 | output: "Output" |
| 537 | name: "FinalAdd" |
| 538 | op_type: "Add" |
| 539 | } |
| 540 | value_info { |
| 541 | name: "AddInput" |
| 542 | type { |
| 543 | tensor_type { |
Matteo Martincigh | 44a7167 | 2018-12-11 13:46:52 +0000 | [diff] [blame] | 544 | elem_type: 1 |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 545 | shape { |
| 546 | dim { |
| 547 | dim_value: 1 |
| 548 | } |
| 549 | dim { |
| 550 | dim_value: 1 |
| 551 | } |
| 552 | } |
| 553 | } |
| 554 | } |
| 555 | } |
| 556 | value_info { |
| 557 | name: "AddOutput" |
| 558 | type { |
| 559 | tensor_type { |
Matteo Martincigh | 44a7167 | 2018-12-11 13:46:52 +0000 | [diff] [blame] | 560 | elem_type: 1 |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 561 | shape { |
| 562 | dim { |
| 563 | dim_value: 1 |
| 564 | } |
| 565 | dim { |
| 566 | dim_value: 1 |
| 567 | } |
| 568 | } |
| 569 | } |
| 570 | } |
| 571 | } |
| 572 | output { |
| 573 | name: "Output" |
| 574 | type { |
| 575 | tensor_type { |
Matteo Martincigh | 44a7167 | 2018-12-11 13:46:52 +0000 | [diff] [blame] | 576 | elem_type: 1 |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 577 | shape { |
| 578 | dim { |
| 579 | dim_value: 1 |
| 580 | } |
| 581 | dim { |
| 582 | dim_value: 1 |
| 583 | } |
| 584 | } |
| 585 | } |
| 586 | } |
| 587 | } |
| 588 | } |
| 589 | opset_import { |
| 590 | version: 7 |
| 591 | })"; |
| 592 | Setup(); |
| 593 | } |
| 594 | }; |
| 595 | |
| 596 | BOOST_FIXTURE_TEST_CASE(MatMulUsedInTwoFcStaggered, MatMulUsedInTwoFcStaggeredFixture) |
| 597 | { |
| 598 | RunTest<1>({{"Input", { 3 }}}, {{"Output", { 13 }}}); |
| 599 | } |
| 600 | |
| 601 | BOOST_AUTO_TEST_SUITE_END() |