| telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame^] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // See LICENSE file in the project root for full license information. |
| 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 | struct SimpleConv2DFixture : public armnnUtils::ParserPrototxtFixture<armnnOnnxParser::IOnnxParser> |
| 13 | { |
| 14 | SimpleConv2DFixture() |
| 15 | { |
| 16 | m_Prototext = R"( |
| 17 | ir_version: 3 |
| 18 | producer_name: "CNTK" |
| 19 | producer_version: "2.5.1" |
| 20 | domain: "ai.cntk" |
| 21 | model_version: 1 |
| 22 | graph { |
| 23 | name: "CNTKGraph" |
| 24 | input { |
| 25 | name: "Input" |
| 26 | type { |
| 27 | tensor_type { |
| 28 | elem_type: FLOAT |
| 29 | shape { |
| 30 | dim { |
| 31 | dim_value: 1 |
| 32 | } |
| 33 | dim { |
| 34 | dim_value: 1 |
| 35 | } |
| 36 | dim { |
| 37 | dim_value: 3 |
| 38 | } |
| 39 | dim { |
| 40 | dim_value: 3 |
| 41 | } |
| 42 | } |
| 43 | } |
| 44 | } |
| 45 | } |
| 46 | input { |
| 47 | name: "Weight" |
| 48 | type { |
| 49 | tensor_type { |
| 50 | elem_type: FLOAT |
| 51 | shape { |
| 52 | dim { |
| 53 | dim_value: 1 |
| 54 | } |
| 55 | dim { |
| 56 | dim_value: 1 |
| 57 | } |
| 58 | dim { |
| 59 | dim_value: 3 |
| 60 | } |
| 61 | dim { |
| 62 | dim_value: 3 |
| 63 | } |
| 64 | } |
| 65 | } |
| 66 | } |
| 67 | } |
| 68 | initializer { |
| 69 | dims: 1 |
| 70 | dims: 1 |
| 71 | dims: 3 |
| 72 | dims: 3 |
| 73 | data_type: FLOAT |
| 74 | float_data: 2 |
| 75 | float_data: 1 |
| 76 | float_data: 0 |
| 77 | float_data: 6 |
| 78 | float_data: 2 |
| 79 | float_data: 1 |
| 80 | float_data: 4 |
| 81 | float_data: 1 |
| 82 | float_data: 2 |
| 83 | name: "Weight" |
| 84 | } |
| 85 | node { |
| 86 | input: "Input" |
| 87 | input: "Weight" |
| 88 | output: "Output" |
| 89 | name: "Convolution" |
| 90 | op_type: "Conv" |
| 91 | attribute { |
| 92 | name: "kernel_shape" |
| 93 | ints: 3 |
| 94 | ints: 3 |
| 95 | type: INTS |
| 96 | } |
| 97 | attribute { |
| 98 | name: "strides" |
| 99 | ints: 1 |
| 100 | ints: 1 |
| 101 | type: INTS |
| 102 | } |
| 103 | attribute { |
| 104 | name: "auto_pad" |
| 105 | s: "VALID" |
| 106 | type: STRING |
| 107 | } |
| 108 | attribute { |
| 109 | name: "group" |
| 110 | i: 1 |
| 111 | type: INT |
| 112 | } |
| 113 | attribute { |
| 114 | name: "dilations" |
| 115 | ints: 1 |
| 116 | ints: 1 |
| 117 | type: INTS |
| 118 | } |
| 119 | doc_string: "" |
| 120 | domain: "" |
| 121 | } |
| 122 | output { |
| 123 | name: "Output" |
| 124 | type { |
| 125 | tensor_type { |
| 126 | elem_type: FLOAT |
| 127 | shape { |
| 128 | dim { |
| 129 | dim_value: 1 |
| 130 | } |
| 131 | dim { |
| 132 | dim_value: 1 |
| 133 | } |
| 134 | dim { |
| 135 | dim_value: 1 |
| 136 | } |
| 137 | dim { |
| 138 | dim_value: 1 |
| 139 | } |
| 140 | } |
| 141 | } |
| 142 | } |
| 143 | } |
| 144 | } |
| 145 | opset_import { |
| 146 | version: 7 |
| 147 | })"; |
| 148 | Setup(); |
| 149 | } |
| 150 | }; |
| 151 | |
| 152 | struct Conv2DWithBiasesFixture : public armnnUtils::ParserPrototxtFixture<armnnOnnxParser::IOnnxParser> |
| 153 | { |
| 154 | Conv2DWithBiasesFixture() { |
| 155 | m_Prototext = R"( |
| 156 | ir_version: 3 |
| 157 | producer_name: "CNTK" |
| 158 | producer_version: "2.5.1" |
| 159 | domain: "ai.cntk" |
| 160 | model_version: 1 |
| 161 | graph { |
| 162 | name: "CNTKGraph" |
| 163 | input { |
| 164 | name: "Input" |
| 165 | type { |
| 166 | tensor_type { |
| 167 | elem_type: FLOAT |
| 168 | shape { |
| 169 | dim { |
| 170 | dim_value: 1 |
| 171 | } |
| 172 | dim { |
| 173 | dim_value: 1 |
| 174 | } |
| 175 | dim { |
| 176 | dim_value: 2 |
| 177 | } |
| 178 | dim { |
| 179 | dim_value: 2 |
| 180 | } |
| 181 | } |
| 182 | } |
| 183 | } |
| 184 | } |
| 185 | input { |
| 186 | name: "Weight" |
| 187 | type { |
| 188 | tensor_type { |
| 189 | elem_type: FLOAT |
| 190 | shape { |
| 191 | dim { |
| 192 | dim_value: 1 |
| 193 | } |
| 194 | dim { |
| 195 | dim_value: 1 |
| 196 | } |
| 197 | dim { |
| 198 | dim_value: 2 |
| 199 | } |
| 200 | dim { |
| 201 | dim_value: 2 |
| 202 | } |
| 203 | } |
| 204 | } |
| 205 | } |
| 206 | } |
| 207 | initializer { |
| 208 | dims: 1 |
| 209 | dims: 1 |
| 210 | dims: 2 |
| 211 | dims: 2 |
| 212 | data_type: FLOAT |
| 213 | float_data: 2 |
| 214 | float_data: 1 |
| 215 | float_data: 0 |
| 216 | float_data: 6 |
| 217 | name: "Weight" |
| 218 | } |
| 219 | input { |
| 220 | name: "Bias" |
| 221 | type { |
| 222 | tensor_type { |
| 223 | elem_type: FLOAT |
| 224 | shape { |
| 225 | dim { |
| 226 | dim_value: 4 |
| 227 | } |
| 228 | } |
| 229 | } |
| 230 | } |
| 231 | } |
| 232 | initializer { |
| 233 | dims: 4 |
| 234 | data_type: FLOAT |
| 235 | float_data: 10 |
| 236 | float_data: 0 |
| 237 | float_data: 0 |
| 238 | float_data: 0 |
| 239 | name: "Bias" |
| 240 | } |
| 241 | node { |
| 242 | input: "Input" |
| 243 | input: "Weight" |
| 244 | input: "Bias" |
| 245 | output: "Output" |
| 246 | name: "Convolution" |
| 247 | op_type: "Conv" |
| 248 | attribute { |
| 249 | name: "kernel_shape" |
| 250 | ints: 2 |
| 251 | ints: 2 |
| 252 | type: INTS |
| 253 | } |
| 254 | attribute { |
| 255 | name: "strides" |
| 256 | ints: 1 |
| 257 | ints: 1 |
| 258 | type: INTS |
| 259 | } |
| 260 | attribute { |
| 261 | name: "auto_pad" |
| 262 | s: "SAME_UPPER" |
| 263 | type: STRING |
| 264 | } |
| 265 | attribute { |
| 266 | name: "group" |
| 267 | i: 1 |
| 268 | type: INT |
| 269 | } |
| 270 | attribute { |
| 271 | name: "dilations" |
| 272 | ints: 1 |
| 273 | ints: 1 |
| 274 | type: INTS |
| 275 | } |
| 276 | doc_string: "" |
| 277 | domain: "" |
| 278 | } |
| 279 | output { |
| 280 | name: "Output" |
| 281 | type { |
| 282 | tensor_type { |
| 283 | elem_type: FLOAT |
| 284 | shape { |
| 285 | dim { |
| 286 | dim_value: 1 |
| 287 | } |
| 288 | dim { |
| 289 | dim_value: 1 |
| 290 | } |
| 291 | dim { |
| 292 | dim_value: 2 |
| 293 | } |
| 294 | dim { |
| 295 | dim_value: 2 |
| 296 | } |
| 297 | } |
| 298 | } |
| 299 | } |
| 300 | } |
| 301 | } |
| 302 | opset_import { |
| 303 | version: 7 |
| 304 | })"; |
| 305 | Setup(); |
| 306 | } |
| 307 | }; |
| 308 | |
| 309 | |
| 310 | struct Conv2DDimReducingFixture : public armnnUtils::ParserPrototxtFixture<armnnOnnxParser::IOnnxParser> |
| 311 | { |
| 312 | Conv2DDimReducingFixture() { |
| 313 | m_Prototext = R"( |
| 314 | ir_version: 3 |
| 315 | producer_name: "CNTK" |
| 316 | producer_version: "2.5.1" |
| 317 | domain: "ai.cntk" |
| 318 | model_version: 1 |
| 319 | graph { |
| 320 | name: "CNTKGraph" |
| 321 | input { |
| 322 | name: "Input" |
| 323 | type { |
| 324 | tensor_type { |
| 325 | elem_type: FLOAT |
| 326 | shape { |
| 327 | dim { |
| 328 | dim_value: 1 |
| 329 | } |
| 330 | dim { |
| 331 | dim_value: 3 |
| 332 | } |
| 333 | dim { |
| 334 | dim_value: 2 |
| 335 | } |
| 336 | dim { |
| 337 | dim_value: 2 |
| 338 | } |
| 339 | } |
| 340 | } |
| 341 | } |
| 342 | } |
| 343 | input { |
| 344 | name: "Weight" |
| 345 | type { |
| 346 | tensor_type { |
| 347 | elem_type: FLOAT |
| 348 | shape { |
| 349 | dim { |
| 350 | dim_value: 2 |
| 351 | } |
| 352 | dim { |
| 353 | dim_value: 3 |
| 354 | } |
| 355 | dim { |
| 356 | dim_value: 1 |
| 357 | } |
| 358 | dim { |
| 359 | dim_value: 1 |
| 360 | } |
| 361 | } |
| 362 | } |
| 363 | } |
| 364 | } |
| 365 | initializer { |
| 366 | dims: 2 |
| 367 | dims: 3 |
| 368 | dims: 1 |
| 369 | dims: 1 |
| 370 | data_type: FLOAT |
| 371 | float_data: -1 |
| 372 | float_data: 2 |
| 373 | float_data: 0 |
| 374 | float_data: 1 |
| 375 | float_data: 0 |
| 376 | float_data: 0 |
| 377 | name: "Weight" |
| 378 | } |
| 379 | node { |
| 380 | input: "Input" |
| 381 | input: "Weight" |
| 382 | output: "Output" |
| 383 | name: "Convolution" |
| 384 | op_type: "Conv" |
| 385 | attribute { |
| 386 | name: "kernel_shape" |
| 387 | ints: 1 |
| 388 | ints: 1 |
| 389 | type: INTS |
| 390 | } |
| 391 | attribute { |
| 392 | name: "strides" |
| 393 | ints: 1 |
| 394 | ints: 1 |
| 395 | type: INTS |
| 396 | } |
| 397 | attribute { |
| 398 | name: "group" |
| 399 | i: 1 |
| 400 | type: INT |
| 401 | } |
| 402 | attribute { |
| 403 | name: "dilations" |
| 404 | ints: 1 |
| 405 | ints: 1 |
| 406 | type: INTS |
| 407 | } |
| 408 | doc_string: "" |
| 409 | domain: "" |
| 410 | } |
| 411 | output { |
| 412 | name: "Output" |
| 413 | type { |
| 414 | tensor_type { |
| 415 | elem_type: FLOAT |
| 416 | shape { |
| 417 | dim { |
| 418 | dim_value: 1 |
| 419 | } |
| 420 | dim { |
| 421 | dim_value: 2 |
| 422 | } |
| 423 | dim { |
| 424 | dim_value: 2 |
| 425 | } |
| 426 | dim { |
| 427 | dim_value: 2 |
| 428 | } |
| 429 | } |
| 430 | } |
| 431 | } |
| 432 | } |
| 433 | } |
| 434 | opset_import { |
| 435 | version: 7 |
| 436 | })"; |
| 437 | Setup(); |
| 438 | } |
| 439 | }; |
| 440 | |
| 441 | BOOST_FIXTURE_TEST_CASE(ValidConvTest, SimpleConv2DFixture) |
| 442 | { |
| 443 | RunTest<4>({{"Input", {1.0, 2.0, 3.0, |
| 444 | 4.0, 5.0, 6.0, |
| 445 | 7.0, 8.0, 9.0}}}, |
| 446 | {{"Output", {1.0 * 2 + 2.0 * 1 + 3.0 * 0 + |
| 447 | 4.0 * 6 + 5.0 * 2 + 6.0 * 1 + |
| 448 | 7.0 * 4 + 8.0 * 1 + 9.0 * 2}}}); |
| 449 | } |
| 450 | |
| 451 | BOOST_FIXTURE_TEST_CASE(ValidConvWithBiasTest, Conv2DWithBiasesFixture) |
| 452 | { |
| 453 | RunTest<4>({{"Input", {1.0, 2.0, |
| 454 | 3.0, 4.0}}}, |
| 455 | {{"Output", {1.0 * 2 + 2.0 * 1 + 3.0 * 0 + 4 * 6 + 10, |
| 456 | 2.0 * 2 + 0 * 1 + 4.0 * 0 + 0 * 6 + 10, |
| 457 | 3.0 * 2 + 4.0 * 1 + 0 * 0 + 0 * 6 + 10, |
| 458 | 4.0 * 2 + 0 * 1 + 0 * 0 + 0 * 6 + 10}}}); |
| 459 | } |
| 460 | |
| 461 | BOOST_FIXTURE_TEST_CASE(ValidConvDimReducTest, Conv2DDimReducingFixture) |
| 462 | { |
| 463 | RunTest<4>({{"Input", {1.0, 2.0, 3.0, 4.0, -1, -2, 3, 4, 1 , 1, 1, 1 }}}, |
| 464 | {{"Output", {-1 * 1 + 2 * -1, -1 * 2 + 2 * -2, |
| 465 | -1 * 3 + 2 * 3, -1 * 4 + 2 * 4, |
| 466 | 1, 2, 3, 4}}}); |
| 467 | } |
| 468 | |
| 469 | BOOST_AUTO_TEST_SUITE_END() |