reduce_sum_square.https.any.js (45118B)
1 // META: title=test WebNN API reduction operations 2 // META: global=window 3 // META: variant=?cpu 4 // META: variant=?gpu 5 // META: variant=?npu 6 // META: script=../resources/utils.js 7 // META: timeout=long 8 9 'use strict'; 10 11 // https://www.w3.org/TR/webnn/#dom-mlgraphbuilder-reducesumsquare 12 // Reduce the input tensor along all dimensions, or along the axes specified in 13 // the axes array parameter. 14 // 15 // dictionary MLReduceOptions { 16 // sequence<[EnforceRange] unsigned long> axes; 17 // boolean keepDimensions = false; 18 // }; 19 // 20 // MLOperand reduceSumSquare(MLOperand input, optional MLReduceOptions options 21 // = {}); 22 23 const reduceSumSquareTests = [ 24 { 25 'name': 'reduceSumSquare float32 0D constant tensor default options', 26 'graph': { 27 'inputs': { 28 'reduceSumSquareInput': { 29 'data': [52.5615348815918], 30 'descriptor': {shape: [], dataType: 'float32'}, 31 'constant': true 32 } 33 }, 34 'operators': [{ 35 'name': 'reduceSumSquare', 36 'arguments': [{'input': 'reduceSumSquareInput'}], 37 'outputs': 'reduceSumSquareOutput' 38 }], 39 'expectedOutputs': { 40 'reduceSumSquareOutput': { 41 'data': 2762.71484375, 42 'descriptor': {shape: [], dataType: 'float32'} 43 } 44 } 45 } 46 }, 47 { 48 'name': 'reduceSumSquare float32 0D tensor default options', 49 'graph': { 50 'inputs': { 51 'reduceSumSquareInput': { 52 'data': [52.5615348815918], 53 'descriptor': {shape: [], dataType: 'float32'}, 54 'constant': false 55 } 56 }, 57 'operators': [{ 58 'name': 'reduceSumSquare', 59 'arguments': [{'input': 'reduceSumSquareInput'}], 60 'outputs': 'reduceSumSquareOutput' 61 }], 62 'expectedOutputs': { 63 'reduceSumSquareOutput': { 64 'data': 2762.71484375, 65 'descriptor': {shape: [], dataType: 'float32'} 66 } 67 } 68 } 69 }, 70 { 71 'name': 'reduceSumSquare float32 0D constant tensor empty axes', 72 'graph': { 73 'inputs': { 74 'reduceSumSquareInput': { 75 'data': [52.5615348815918], 76 'descriptor': {shape: [], dataType: 'float32'}, 77 'constant': true 78 } 79 }, 80 'operators': [{ 81 'name': 'reduceSumSquare', 82 'arguments': 83 [{'input': 'reduceSumSquareInput'}, {'options': {'axes': []}}], 84 'outputs': 'reduceSumSquareOutput' 85 }], 86 'expectedOutputs': { 87 'reduceSumSquareOutput': { 88 'data': 2762.71484375, 89 'descriptor': {shape: [], dataType: 'float32'} 90 } 91 } 92 } 93 }, 94 { 95 'name': 'reduceSumSquare float32 0D tensor empty axes', 96 'graph': { 97 'inputs': { 98 'reduceSumSquareInput': { 99 'data': [52.5615348815918], 100 'descriptor': {shape: [], dataType: 'float32'}, 101 'constant': false 102 } 103 }, 104 'operators': [{ 105 'name': 'reduceSumSquare', 106 'arguments': 107 [{'input': 'reduceSumSquareInput'}, {'options': {'axes': []}}], 108 'outputs': 'reduceSumSquareOutput' 109 }], 110 'expectedOutputs': { 111 'reduceSumSquareOutput': { 112 'data': 2762.71484375, 113 'descriptor': {shape: [], dataType: 'float32'} 114 } 115 } 116 } 117 }, 118 { 119 'name': 120 'reduceSumSquare float32 1D constant tensor all positive default options', 121 'graph': { 122 'inputs': { 123 'reduceSumSquareInput': { 124 'data': [ 125 52.5615348815918, 2.6261062622070312, 82.04877471923828, 126 14.401411056518555, 33.96051788330078, 83.9383773803711, 127 47.445045471191406, 19.177289962768555, 13.493006706237793, 128 44.152381896972656, 86.53118133544922, 70.20919799804688, 129 25.67262840270996, 79.73770141601562, 66.42284393310547, 130 70.40363311767578, 13.503327369689941, 41.225399017333984, 131 6.654552936553955, 85.79743957519531, 89.91349029541016, 132 53.55647277832031, 39.48537063598633, 3.9460408687591553 133 ], 134 'descriptor': {shape: [24], dataType: 'float32'}, 135 'constant': true 136 } 137 }, 138 'operators': [{ 139 'name': 'reduceSumSquare', 140 'arguments': [{'input': 'reduceSumSquareInput'}], 141 'outputs': 'reduceSumSquareOutput' 142 }], 143 'expectedOutputs': { 144 'reduceSumSquareOutput': { 145 'data': 73275.859375, 146 'descriptor': {shape: [], dataType: 'float32'} 147 } 148 } 149 } 150 }, 151 { 152 'name': 'reduceSumSquare float32 1D tensor all positive default options', 153 'graph': { 154 'inputs': { 155 'reduceSumSquareInput': { 156 'data': [ 157 52.5615348815918, 2.6261062622070312, 82.04877471923828, 158 14.401411056518555, 33.96051788330078, 83.9383773803711, 159 47.445045471191406, 19.177289962768555, 13.493006706237793, 160 44.152381896972656, 86.53118133544922, 70.20919799804688, 161 25.67262840270996, 79.73770141601562, 66.42284393310547, 162 70.40363311767578, 13.503327369689941, 41.225399017333984, 163 6.654552936553955, 85.79743957519531, 89.91349029541016, 164 53.55647277832031, 39.48537063598633, 3.9460408687591553 165 ], 166 'descriptor': {shape: [24], dataType: 'float32'} 167 } 168 }, 169 'operators': [{ 170 'name': 'reduceSumSquare', 171 'arguments': [{'input': 'reduceSumSquareInput'}], 172 'outputs': 'reduceSumSquareOutput' 173 }], 174 'expectedOutputs': { 175 'reduceSumSquareOutput': { 176 'data': 73275.859375, 177 'descriptor': {shape: [], dataType: 'float32'} 178 } 179 } 180 } 181 }, 182 { 183 'name': 'reduceSumSquare float32 1D tensor all negative default options', 184 'graph': { 185 'inputs': { 186 'reduceSumSquareInput': { 187 'data': [ 188 -21.45201301574707, -57.30725860595703, -72.8390121459961, 189 -0.059761520475149155, -71.73678588867188, -44.61909103393555, 190 -43.12002182006836, -91.3373794555664, -33.17243957519531, 191 -48.555931091308594, -95.6286392211914, -20.876630783081055, 192 -16.690837860107422, -39.52110290527344, -7.5107855796813965, 193 -90.59027099609375, -42.21683120727539, -76.74274444580078, 194 -98.22420501708984, -60.272953033447266, -74.73202514648438, 195 -8.543684005737305, -59.888736724853516, -17.99894142150879 196 ], 197 'descriptor': {shape: [24], dataType: 'float32'} 198 } 199 }, 200 'operators': [{ 201 'name': 'reduceSumSquare', 202 'arguments': [{'input': 'reduceSumSquareInput'}], 203 'outputs': 'reduceSumSquareOutput' 204 }], 205 'expectedOutputs': { 206 'reduceSumSquareOutput': { 207 'data': 80052.015625, 208 'descriptor': {shape: [], dataType: 'float32'} 209 } 210 } 211 } 212 }, 213 { 214 'name': 215 'reduceSumSquare float32 1D tensor all positive integers default options', 216 'graph': { 217 'inputs': { 218 'reduceSumSquareInput': { 219 'data': [ 220 52, 48, 2, 66, 30, 39, 14, 23, 81, 94, 78, 64, 221 38, 16, 63, 11, 46, 95, 17, 47, 40, 53, 87, 43 222 ], 223 'descriptor': {shape: [24], dataType: 'float32'} 224 } 225 }, 226 'operators': [{ 227 'name': 'reduceSumSquare', 228 'arguments': [{'input': 'reduceSumSquareInput'}], 229 'outputs': 'reduceSumSquareOutput' 230 }], 231 'expectedOutputs': { 232 'reduceSumSquareOutput': 233 {'data': 71347, 'descriptor': {shape: [], dataType: 'float32'}} 234 } 235 } 236 }, 237 { 238 'name': 239 'reduceSumSquare float32 1D tensor all negative integers default options', 240 'graph': { 241 'inputs': { 242 'reduceSumSquareInput': { 243 'data': [ 244 -10, -60, -69, -88, -35, -84, -74, -42, -93, -26, -40, -55, 245 -92, -26, -39, -30, -61, -16, -16, -36, -9, -89, -45, -29 246 ], 247 'descriptor': {shape: [24], dataType: 'float32'} 248 } 249 }, 250 'operators': [{ 251 'name': 'reduceSumSquare', 252 'arguments': [{'input': 'reduceSumSquareInput'}], 253 'outputs': 'reduceSumSquareOutput' 254 }], 255 'expectedOutputs': { 256 'reduceSumSquareOutput': 257 {'data': 73634, 'descriptor': {shape: [], dataType: 'float32'}} 258 } 259 } 260 }, 261 { 262 'name': 'reduceSumSquare float32 1D tensor with empty axes', 263 'graph': { 264 'inputs': { 265 'reduceSumSquareInput': 266 {'data': [2, 3], 'descriptor': {shape: [2], dataType: 'float32'}} 267 }, 268 'operators': [{ 269 'name': 'reduceSumSquare', 270 'arguments': 271 [{'input': 'reduceSumSquareInput'}, {'options': {'axes': []}}], 272 'outputs': 'reduceSumSquareOutput' 273 }], 274 'expectedOutputs': { 275 'reduceSumSquareOutput': 276 {'data': [4, 9], 'descriptor': {shape: [2], dataType: 'float32'}} 277 } 278 } 279 }, 280 { 281 'name': 'reduceSumSquare float32 2D tensor default options', 282 'graph': { 283 'inputs': { 284 'reduceSumSquareInput': { 285 'data': [ 286 52.5615348815918, 2.6261062622070312, 82.04877471923828, 287 14.401411056518555, 33.96051788330078, 83.9383773803711, 288 47.445045471191406, 19.177289962768555, 13.493006706237793, 289 44.152381896972656, 86.53118133544922, 70.20919799804688, 290 25.67262840270996, 79.73770141601562, 66.42284393310547, 291 70.40363311767578, 13.503327369689941, 41.225399017333984, 292 6.654552936553955, 85.79743957519531, 89.91349029541016, 293 53.55647277832031, 39.48537063598633, 3.9460408687591553 294 ], 295 'descriptor': {shape: [4, 6], dataType: 'float32'} 296 } 297 }, 298 'operators': [{ 299 'name': 'reduceSumSquare', 300 'arguments': [{'input': 'reduceSumSquareInput'}], 301 'outputs': 'reduceSumSquareOutput' 302 }], 303 'expectedOutputs': { 304 'reduceSumSquareOutput': { 305 'data': 73275.859375, 306 'descriptor': {shape: [], dataType: 'float32'} 307 } 308 } 309 } 310 }, 311 { 312 'name': 'reduceSumSquare float32 3D tensor default options', 313 'graph': { 314 'inputs': { 315 'reduceSumSquareInput': { 316 'data': [ 317 52.5615348815918, 2.6261062622070312, 82.04877471923828, 318 14.401411056518555, 33.96051788330078, 83.9383773803711, 319 47.445045471191406, 19.177289962768555, 13.493006706237793, 320 44.152381896972656, 86.53118133544922, 70.20919799804688, 321 25.67262840270996, 79.73770141601562, 66.42284393310547, 322 70.40363311767578, 13.503327369689941, 41.225399017333984, 323 6.654552936553955, 85.79743957519531, 89.91349029541016, 324 53.55647277832031, 39.48537063598633, 3.9460408687591553 325 ], 326 'descriptor': {shape: [2, 3, 4], dataType: 'float32'} 327 } 328 }, 329 'operators': [{ 330 'name': 'reduceSumSquare', 331 'arguments': [{'input': 'reduceSumSquareInput'}], 332 'outputs': 'reduceSumSquareOutput' 333 }], 334 'expectedOutputs': { 335 'reduceSumSquareOutput': { 336 'data': 73275.859375, 337 'descriptor': {shape: [], dataType: 'float32'} 338 } 339 } 340 } 341 }, 342 { 343 'name': 'reduceSumSquare float32 4D tensor default options', 344 'graph': { 345 'inputs': { 346 'reduceSumSquareInput': { 347 'data': [ 348 52.5615348815918, 2.6261062622070312, 82.04877471923828, 349 14.401411056518555, 33.96051788330078, 83.9383773803711, 350 47.445045471191406, 19.177289962768555, 13.493006706237793, 351 44.152381896972656, 86.53118133544922, 70.20919799804688, 352 25.67262840270996, 79.73770141601562, 66.42284393310547, 353 70.40363311767578, 13.503327369689941, 41.225399017333984, 354 6.654552936553955, 85.79743957519531, 89.91349029541016, 355 53.55647277832031, 39.48537063598633, 3.9460408687591553 356 ], 357 'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'} 358 } 359 }, 360 'operators': [{ 361 'name': 'reduceSumSquare', 362 'arguments': [{'input': 'reduceSumSquareInput'}], 363 'outputs': 'reduceSumSquareOutput' 364 }], 365 'expectedOutputs': { 366 'reduceSumSquareOutput': { 367 'data': 73275.859375, 368 'descriptor': {shape: [], dataType: 'float32'} 369 } 370 } 371 } 372 }, 373 { 374 'name': 'reduceSumSquare float32 5D tensor default options', 375 'graph': { 376 'inputs': { 377 'reduceSumSquareInput': { 378 'data': [ 379 52.5615348815918, 2.6261062622070312, 82.04877471923828, 380 14.401411056518555, 33.96051788330078, 83.9383773803711, 381 47.445045471191406, 19.177289962768555, 13.493006706237793, 382 44.152381896972656, 86.53118133544922, 70.20919799804688, 383 25.67262840270996, 79.73770141601562, 66.42284393310547, 384 70.40363311767578, 13.503327369689941, 41.225399017333984, 385 6.654552936553955, 85.79743957519531, 89.91349029541016, 386 53.55647277832031, 39.48537063598633, 3.9460408687591553 387 ], 388 'descriptor': {shape: [2, 1, 4, 1, 3], dataType: 'float32'} 389 } 390 }, 391 'operators': [{ 392 'name': 'reduceSumSquare', 393 'arguments': [{'input': 'reduceSumSquareInput'}], 394 'outputs': 'reduceSumSquareOutput' 395 }], 396 'expectedOutputs': { 397 'reduceSumSquareOutput': { 398 'data': 73275.859375, 399 'descriptor': {shape: [], dataType: 'float32'} 400 } 401 } 402 } 403 }, 404 { 405 'name': 'reduceSumSquare float32 3D tensor options.axes', 406 'graph': { 407 'inputs': { 408 'reduceSumSquareInput': { 409 'data': [ 410 52.5615348815918, 2.6261062622070312, 82.04877471923828, 411 14.401411056518555, 33.96051788330078, 83.9383773803711, 412 47.445045471191406, 19.177289962768555, 13.493006706237793, 413 44.152381896972656, 86.53118133544922, 70.20919799804688, 414 25.67262840270996, 79.73770141601562, 66.42284393310547, 415 70.40363311767578, 13.503327369689941, 41.225399017333984, 416 6.654552936553955, 85.79743957519531, 89.91349029541016, 417 53.55647277832031, 39.48537063598633, 3.9460408687591553 418 ], 419 'descriptor': {shape: [2, 3, 4], dataType: 'float32'} 420 } 421 }, 422 'operators': [{ 423 'name': 'reduceSumSquare', 424 'arguments': 425 [{'input': 'reduceSumSquareInput'}, {'options': {'axes': [2]}}], 426 'outputs': 'reduceSumSquareOutput' 427 }], 428 'expectedOutputs': { 429 'reduceSumSquareOutput': { 430 'data': [ 431 9709.013671875, 10817.7685546875, 14548.470703125, 16385.8515625, 432 9287.357421875, 12527.3974609375 433 ], 434 'descriptor': {shape: [2, 3], dataType: 'float32'} 435 } 436 } 437 } 438 }, 439 { 440 'name': 'reduceSumSquare float32 4D tensor options.axes', 441 'graph': { 442 'inputs': { 443 'reduceSumSquareInput': { 444 'data': [ 445 52.5615348815918, 2.6261062622070312, 82.04877471923828, 446 14.401411056518555, 33.96051788330078, 83.9383773803711, 447 47.445045471191406, 19.177289962768555, 13.493006706237793, 448 44.152381896972656, 86.53118133544922, 70.20919799804688, 449 25.67262840270996, 79.73770141601562, 66.42284393310547, 450 70.40363311767578, 13.503327369689941, 41.225399017333984, 451 6.654552936553955, 85.79743957519531, 89.91349029541016, 452 53.55647277832031, 39.48537063598633, 3.9460408687591553 453 ], 454 'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'} 455 } 456 }, 457 'operators': [{ 458 'name': 'reduceSumSquare', 459 'arguments': 460 [{'input': 'reduceSumSquareInput'}, {'options': {'axes': [0, 2]}}], 461 'outputs': 'reduceSumSquareOutput' 462 }], 463 'expectedOutputs': { 464 'reduceSumSquareOutput': { 465 'data': [ 466 8585.87109375, 7700.654296875, 19889.1796875, 7113.0439453125, 467 16775.708984375, 13211.3994140625 468 ], 469 'descriptor': {shape: [2, 3], dataType: 'float32'} 470 } 471 } 472 } 473 }, 474 { 475 'name': 'reduceSumSquare float32 3D tensor options.keepDimensions=false', 476 'graph': { 477 'inputs': { 478 'reduceSumSquareInput': { 479 'data': [ 480 52.5615348815918, 2.6261062622070312, 82.04877471923828, 481 14.401411056518555, 33.96051788330078, 83.9383773803711, 482 47.445045471191406, 19.177289962768555, 13.493006706237793, 483 44.152381896972656, 86.53118133544922, 70.20919799804688, 484 25.67262840270996, 79.73770141601562, 66.42284393310547, 485 70.40363311767578, 13.503327369689941, 41.225399017333984, 486 6.654552936553955, 85.79743957519531, 89.91349029541016, 487 53.55647277832031, 39.48537063598633, 3.9460408687591553 488 ], 489 'descriptor': {shape: [2, 3, 4], dataType: 'float32'} 490 } 491 }, 492 'operators': [{ 493 'name': 'reduceSumSquare', 494 'arguments': [ 495 {'input': 'reduceSumSquareInput'}, 496 {'options': {'keepDimensions': false}} 497 ], 498 'outputs': 'reduceSumSquareOutput' 499 }], 500 'expectedOutputs': { 501 'reduceSumSquareOutput': { 502 'data': 73275.859375, 503 'descriptor': {shape: [], dataType: 'float32'} 504 } 505 } 506 } 507 }, 508 { 509 'name': 'reduceSumSquare float32 3D tensor options.keepDimensions=true', 510 'graph': { 511 'inputs': { 512 'reduceSumSquareInput': { 513 'data': [ 514 52.5615348815918, 2.6261062622070312, 82.04877471923828, 515 14.401411056518555, 33.96051788330078, 83.9383773803711, 516 47.445045471191406, 19.177289962768555, 13.493006706237793, 517 44.152381896972656, 86.53118133544922, 70.20919799804688, 518 25.67262840270996, 79.73770141601562, 66.42284393310547, 519 70.40363311767578, 13.503327369689941, 41.225399017333984, 520 6.654552936553955, 85.79743957519531, 89.91349029541016, 521 53.55647277832031, 39.48537063598633, 3.9460408687591553 522 ], 523 'descriptor': {shape: [2, 3, 4], dataType: 'float32'} 524 } 525 }, 526 'operators': [{ 527 'name': 'reduceSumSquare', 528 'arguments': [ 529 {'input': 'reduceSumSquareInput'}, 530 {'options': {'keepDimensions': true}} 531 ], 532 'outputs': 'reduceSumSquareOutput' 533 }], 534 'expectedOutputs': { 535 'reduceSumSquareOutput': { 536 'data': [73275.859375], 537 'descriptor': {shape: [1, 1, 1], dataType: 'float32'} 538 } 539 } 540 } 541 }, 542 { 543 'name': 'reduceSumSquare float32 4D tensor options.keepDimensions=false', 544 'graph': { 545 'inputs': { 546 'reduceSumSquareInput': { 547 'data': [ 548 52.5615348815918, 2.6261062622070312, 82.04877471923828, 549 14.401411056518555, 33.96051788330078, 83.9383773803711, 550 47.445045471191406, 19.177289962768555, 13.493006706237793, 551 44.152381896972656, 86.53118133544922, 70.20919799804688, 552 25.67262840270996, 79.73770141601562, 66.42284393310547, 553 70.40363311767578, 13.503327369689941, 41.225399017333984, 554 6.654552936553955, 85.79743957519531, 89.91349029541016, 555 53.55647277832031, 39.48537063598633, 3.9460408687591553 556 ], 557 'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'} 558 } 559 }, 560 'operators': [{ 561 'name': 'reduceSumSquare', 562 'arguments': [ 563 {'input': 'reduceSumSquareInput'}, 564 {'options': {'keepDimensions': false}} 565 ], 566 'outputs': 'reduceSumSquareOutput' 567 }], 568 'expectedOutputs': { 569 'reduceSumSquareOutput': { 570 'data': 73275.859375, 571 'descriptor': {shape: [], dataType: 'float32'} 572 } 573 } 574 } 575 }, 576 { 577 'name': 'reduceSumSquare float32 4D tensor options.keepDimensions=true', 578 'graph': { 579 'inputs': { 580 'reduceSumSquareInput': { 581 'data': [ 582 52.5615348815918, 2.6261062622070312, 82.04877471923828, 583 14.401411056518555, 33.96051788330078, 83.9383773803711, 584 47.445045471191406, 19.177289962768555, 13.493006706237793, 585 44.152381896972656, 86.53118133544922, 70.20919799804688, 586 25.67262840270996, 79.73770141601562, 66.42284393310547, 587 70.40363311767578, 13.503327369689941, 41.225399017333984, 588 6.654552936553955, 85.79743957519531, 89.91349029541016, 589 53.55647277832031, 39.48537063598633, 3.9460408687591553 590 ], 591 'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'} 592 } 593 }, 594 'operators': [{ 595 'name': 'reduceSumSquare', 596 'arguments': [ 597 {'input': 'reduceSumSquareInput'}, 598 {'options': {'keepDimensions': true}} 599 ], 600 'outputs': 'reduceSumSquareOutput' 601 }], 602 'expectedOutputs': { 603 'reduceSumSquareOutput': { 604 'data': [73275.859375], 605 'descriptor': {shape: [1, 1, 1, 1], dataType: 'float32'} 606 } 607 } 608 } 609 }, 610 { 611 'name': 612 'reduceSumSquare float32 4D tensor options.axes with options.keepDimensions=false', 613 'graph': { 614 'inputs': { 615 'reduceSumSquareInput': { 616 'data': [ 617 52.5615348815918, 2.6261062622070312, 82.04877471923828, 618 14.401411056518555, 33.96051788330078, 83.9383773803711, 619 47.445045471191406, 19.177289962768555, 13.493006706237793, 620 44.152381896972656, 86.53118133544922, 70.20919799804688, 621 25.67262840270996, 79.73770141601562, 66.42284393310547, 622 70.40363311767578, 13.503327369689941, 41.225399017333984, 623 6.654552936553955, 85.79743957519531, 89.91349029541016, 624 53.55647277832031, 39.48537063598633, 3.9460408687591553 625 ], 626 'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'} 627 } 628 }, 629 'operators': [{ 630 'name': 'reduceSumSquare', 631 'arguments': [ 632 {'input': 'reduceSumSquareInput'}, 633 {'options': {'axes': [1, 3], 'keepDimensions': false}} 634 ], 635 'outputs': 'reduceSumSquareOutput' 636 }], 637 'expectedOutputs': { 638 'reduceSumSquareOutput': { 639 'data': [ 640 12302.474609375, 22772.77734375, 26919.09765625, 11281.5068359375 641 ], 642 'descriptor': {shape: [2, 2], dataType: 'float32'} 643 } 644 } 645 } 646 }, 647 { 648 'name': 649 'reduceSumSquare float32 4D tensor options.axes with options.keepDimensions=true', 650 'graph': { 651 'inputs': { 652 'reduceSumSquareInput': { 653 'data': [ 654 52.5615348815918, 2.6261062622070312, 82.04877471923828, 655 14.401411056518555, 33.96051788330078, 83.9383773803711, 656 47.445045471191406, 19.177289962768555, 13.493006706237793, 657 44.152381896972656, 86.53118133544922, 70.20919799804688, 658 25.67262840270996, 79.73770141601562, 66.42284393310547, 659 70.40363311767578, 13.503327369689941, 41.225399017333984, 660 6.654552936553955, 85.79743957519531, 89.91349029541016, 661 53.55647277832031, 39.48537063598633, 3.9460408687591553 662 ], 663 'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'} 664 } 665 }, 666 'operators': [{ 667 'name': 'reduceSumSquare', 668 'arguments': [ 669 {'input': 'reduceSumSquareInput'}, 670 {'options': {'axes': [1, 3], 'keepDimensions': true}} 671 ], 672 'outputs': 'reduceSumSquareOutput' 673 }], 674 'expectedOutputs': { 675 'reduceSumSquareOutput': { 676 'data': [ 677 12302.474609375, 22772.77734375, 26919.09765625, 11281.5068359375 678 ], 679 'descriptor': {shape: [2, 1, 2, 1], dataType: 'float32'} 680 } 681 } 682 } 683 }, 684 685 // float16 tests 686 { 687 'name': 'reduceSumSquare float16 0D constant tensor default options', 688 'graph': { 689 'inputs': { 690 'reduceSumSquareInput': { 691 'data': [52.5625], 692 'descriptor': {shape: [], dataType: 'float16'}, 693 'constant': true 694 } 695 }, 696 'operators': [{ 697 'name': 'reduceSumSquare', 698 'arguments': [{'input': 'reduceSumSquareInput'}], 699 'outputs': 'reduceSumSquareOutput' 700 }], 701 'expectedOutputs': { 702 'reduceSumSquareOutput': 703 {'data': [2762], 'descriptor': {shape: [], dataType: 'float16'}} 704 } 705 } 706 }, 707 { 708 'name': 'reduceSumSquare float16 0D tensor default options', 709 'graph': { 710 'inputs': { 711 'reduceSumSquareInput': { 712 'data': [52.5625], 713 'descriptor': {shape: [], dataType: 'float16'}, 714 'constant': false 715 } 716 }, 717 'operators': [{ 718 'name': 'reduceSumSquare', 719 'arguments': [{'input': 'reduceSumSquareInput'}], 720 'outputs': 'reduceSumSquareOutput' 721 }], 722 'expectedOutputs': { 723 'reduceSumSquareOutput': 724 {'data': [2762], 'descriptor': {shape: [], dataType: 'float16'}} 725 } 726 } 727 }, 728 { 729 'name': 'reduceSumSquare float16 0D constant tensor empty axes', 730 'graph': { 731 'inputs': { 732 'reduceSumSquareInput': { 733 'data': [52.5625], 734 'descriptor': {shape: [], dataType: 'float16'}, 735 'constant': true 736 } 737 }, 738 'operators': [{ 739 'name': 'reduceSumSquare', 740 'arguments': 741 [{'input': 'reduceSumSquareInput'}, {'options': {'axes': []}}], 742 'outputs': 'reduceSumSquareOutput' 743 }], 744 'expectedOutputs': { 745 'reduceSumSquareOutput': 746 {'data': [2762], 'descriptor': {shape: [], dataType: 'float16'}} 747 } 748 } 749 }, 750 { 751 'name': 'reduceSumSquare float16 0D tensor empty axes', 752 'graph': { 753 'inputs': { 754 'reduceSumSquareInput': { 755 'data': [52.5625], 756 'descriptor': {shape: [], dataType: 'float16'}, 757 'constant': false 758 } 759 }, 760 'operators': [{ 761 'name': 'reduceSumSquare', 762 'arguments': 763 [{'input': 'reduceSumSquareInput'}, {'options': {'axes': []}}], 764 'outputs': 'reduceSumSquareOutput' 765 }], 766 'expectedOutputs': { 767 'reduceSumSquareOutput': 768 {'data': [2762], 'descriptor': {shape: [], dataType: 'float16'}} 769 } 770 } 771 }, 772 { 773 'name': 774 'reduceSumSquare float16 1D constant tensor all positive default options', 775 'graph': { 776 'inputs': { 777 'reduceSumSquareInput': { 778 'data': [ 779 1.3935546875, 1.20703125, 1.18359375, 0.3759765625, 780 0.69677734375, 0.75244140625, 1.068359375, 1.455078125, 781 0.87890625, 0.2149658203125, 0.7998046875, 0.135986328125, 782 1.099609375, 0.77685546875, 1.1025390625, 0.65625, 783 1.703125, 1.6025390625, 1.5185546875, 1.892578125, 784 0.8408203125, 1.2294921875, 1.529296875, 0.64404296875 785 ], 786 'descriptor': {shape: [24], dataType: 'float16'}, 787 'constant': true 788 } 789 }, 790 'operators': [{ 791 'name': 'reduceSumSquare', 792 'arguments': [{'input': 'reduceSumSquareInput'}], 793 'outputs': 'reduceSumSquareOutput' 794 }], 795 'expectedOutputs': { 796 'reduceSumSquareOutput': { 797 'data': [30.515625], 798 'descriptor': {shape: [], dataType: 'float16'} 799 } 800 } 801 } 802 }, 803 { 804 'name': 'reduceSumSquare float16 1D tensor all positive default options', 805 'graph': { 806 'inputs': { 807 'reduceSumSquareInput': { 808 'data': [ 809 1.3935546875, 1.20703125, 1.18359375, 0.3759765625, 810 0.69677734375, 0.75244140625, 1.068359375, 1.455078125, 811 0.87890625, 0.2149658203125, 0.7998046875, 0.135986328125, 812 1.099609375, 0.77685546875, 1.1025390625, 0.65625, 813 1.703125, 1.6025390625, 1.5185546875, 1.892578125, 814 0.8408203125, 1.2294921875, 1.529296875, 0.64404296875 815 ], 816 'descriptor': {shape: [24], dataType: 'float16'} 817 } 818 }, 819 'operators': [{ 820 'name': 'reduceSumSquare', 821 'arguments': [{'input': 'reduceSumSquareInput'}], 822 'outputs': 'reduceSumSquareOutput' 823 }], 824 'expectedOutputs': { 825 'reduceSumSquareOutput': { 826 'data': [30.515625], 827 'descriptor': {shape: [], dataType: 'float16'} 828 } 829 } 830 } 831 }, 832 { 833 'name': 'reduceSumSquare float16 1D tensor all negative default options', 834 'graph': { 835 'inputs': { 836 'reduceSumSquareInput': { 837 'data': [ 838 -1.646484375, -1.2998046875, -0.57763671875, 839 -0.5869140625, -1.740234375, -0.2020263671875, 840 -1.28125, -1.92578125, -0.63671875, 841 -0.5068359375, -1.9462890625, -1.5078125, 842 -1.212890625, -0.6669921875, -1.1337890625, 843 -0.450439453125, -0.7978515625, -0.2196044921875, 844 -0.221923828125, -0.1463623046875, -0.75537109375, 845 -1.0830078125, -1.3740234375, -0.059600830078125 846 ], 847 'descriptor': {shape: [24], dataType: 'float16'} 848 } 849 }, 850 'operators': [{ 851 'name': 'reduceSumSquare', 852 'arguments': [{'input': 'reduceSumSquareInput'}], 853 'outputs': 'reduceSumSquareOutput' 854 }], 855 'expectedOutputs': { 856 'reduceSumSquareOutput': { 857 'data': [28.015625], 858 'descriptor': {shape: [], dataType: 'float16'} 859 } 860 } 861 } 862 }, 863 { 864 'name': 865 'reduceSumSquare float16 1D tensor all positive integers default options', 866 'graph': { 867 'inputs': { 868 'reduceSumSquareInput': { 869 'data': [ 870 2, 4, 2, 6, 3, 9, 1, 2, 1, 4, 7, 6, 871 3, 1, 3, 1, 6, 5, 1, 4, 4, 3, 8, 3 872 ], 873 'descriptor': {shape: [24], dataType: 'float16'} 874 } 875 }, 876 'operators': [{ 877 'name': 'reduceSumSquare', 878 'arguments': [{'input': 'reduceSumSquareInput'}], 879 'outputs': 'reduceSumSquareOutput' 880 }], 881 'expectedOutputs': { 882 'reduceSumSquareOutput': 883 {'data': [453], 'descriptor': {shape: [], dataType: 'float16'}} 884 } 885 } 886 }, 887 { 888 'name': 889 'reduceSumSquare float16 1D tensor all negative integers default options', 890 'graph': { 891 'inputs': { 892 'reduceSumSquareInput': { 893 'data': [ 894 -10, -6, -9, -8, -3, -4, -4, -2, -3, -2, -4, -5, 895 -2, -2, -3, -3, -1, -6, -1, -3, -9, -8, -5, -2 896 ], 897 'descriptor': {shape: [24], dataType: 'float16'} 898 } 899 }, 900 'operators': [{ 901 'name': 'reduceSumSquare', 902 'arguments': [{'input': 'reduceSumSquareInput'}], 903 'outputs': 'reduceSumSquareOutput' 904 }], 905 'expectedOutputs': { 906 'reduceSumSquareOutput': 907 {'data': [627], 'descriptor': {shape: [], dataType: 'float16'}} 908 } 909 } 910 }, 911 { 912 'name': 'reduceSumSquare float16 1D tensor with empty axes', 913 'graph': { 914 'inputs': { 915 'reduceSumSquareInput': 916 {'data': [2, 3], 'descriptor': {shape: [2], dataType: 'float16'}} 917 }, 918 'operators': [{ 919 'name': 'reduceSumSquare', 920 'arguments': 921 [{'input': 'reduceSumSquareInput'}, {'options': {'axes': []}}], 922 'outputs': 'reduceSumSquareOutput' 923 }], 924 'expectedOutputs': { 925 'reduceSumSquareOutput': 926 {'data': [4, 9], 'descriptor': {shape: [2], dataType: 'float16'}} 927 } 928 } 929 }, 930 { 931 'name': 'reduceSumSquare float16 2D tensor default options', 932 'graph': { 933 'inputs': { 934 'reduceSumSquareInput': { 935 'data': [ 936 1.3935546875, 1.20703125, 1.18359375, 0.3759765625, 937 0.69677734375, 0.75244140625, 1.068359375, 1.455078125, 938 0.87890625, 0.2149658203125, 0.7998046875, 0.135986328125, 939 1.099609375, 0.77685546875, 1.1025390625, 0.65625, 940 1.703125, 1.6025390625, 1.5185546875, 1.892578125, 941 0.8408203125, 1.2294921875, 1.529296875, 0.64404296875 942 ], 943 'descriptor': {shape: [4, 6], dataType: 'float16'} 944 } 945 }, 946 'operators': [{ 947 'name': 'reduceSumSquare', 948 'arguments': [{'input': 'reduceSumSquareInput'}], 949 'outputs': 'reduceSumSquareOutput' 950 }], 951 'expectedOutputs': { 952 'reduceSumSquareOutput': { 953 'data': [30.515625], 954 'descriptor': {shape: [], dataType: 'float16'} 955 } 956 } 957 } 958 }, 959 { 960 'name': 'reduceSumSquare float16 3D tensor default options', 961 'graph': { 962 'inputs': { 963 'reduceSumSquareInput': { 964 'data': [ 965 1.3935546875, 1.20703125, 1.18359375, 0.3759765625, 966 0.69677734375, 0.75244140625, 1.068359375, 1.455078125, 967 0.87890625, 0.2149658203125, 0.7998046875, 0.135986328125, 968 1.099609375, 0.77685546875, 1.1025390625, 0.65625, 969 1.703125, 1.6025390625, 1.5185546875, 1.892578125, 970 0.8408203125, 1.2294921875, 1.529296875, 0.64404296875 971 ], 972 'descriptor': {shape: [2, 3, 4], dataType: 'float16'} 973 } 974 }, 975 'operators': [{ 976 'name': 'reduceSumSquare', 977 'arguments': [{'input': 'reduceSumSquareInput'}], 978 'outputs': 'reduceSumSquareOutput' 979 }], 980 'expectedOutputs': { 981 'reduceSumSquareOutput': { 982 'data': [30.515625], 983 'descriptor': {shape: [], dataType: 'float16'} 984 } 985 } 986 } 987 }, 988 { 989 'name': 'reduceSumSquare float16 4D tensor default options', 990 'graph': { 991 'inputs': { 992 'reduceSumSquareInput': { 993 'data': [ 994 1.3935546875, 1.20703125, 1.18359375, 0.3759765625, 995 0.69677734375, 0.75244140625, 1.068359375, 1.455078125, 996 0.87890625, 0.2149658203125, 0.7998046875, 0.135986328125, 997 1.099609375, 0.77685546875, 1.1025390625, 0.65625, 998 1.703125, 1.6025390625, 1.5185546875, 1.892578125, 999 0.8408203125, 1.2294921875, 1.529296875, 0.64404296875 1000 ], 1001 'descriptor': {shape: [2, 2, 2, 3], dataType: 'float16'} 1002 } 1003 }, 1004 'operators': [{ 1005 'name': 'reduceSumSquare', 1006 'arguments': [{'input': 'reduceSumSquareInput'}], 1007 'outputs': 'reduceSumSquareOutput' 1008 }], 1009 'expectedOutputs': { 1010 'reduceSumSquareOutput': { 1011 'data': [30.515625], 1012 'descriptor': {shape: [], dataType: 'float16'} 1013 } 1014 } 1015 } 1016 }, 1017 { 1018 'name': 'reduceSumSquare float16 5D tensor default options', 1019 'graph': { 1020 'inputs': { 1021 'reduceSumSquareInput': { 1022 'data': [ 1023 1.3935546875, 1.20703125, 1.18359375, 0.3759765625, 1024 0.69677734375, 0.75244140625, 1.068359375, 1.455078125, 1025 0.87890625, 0.2149658203125, 0.7998046875, 0.135986328125, 1026 1.099609375, 0.77685546875, 1.1025390625, 0.65625, 1027 1.703125, 1.6025390625, 1.5185546875, 1.892578125, 1028 0.8408203125, 1.2294921875, 1.529296875, 0.64404296875 1029 ], 1030 'descriptor': {shape: [2, 1, 4, 1, 3], dataType: 'float16'} 1031 } 1032 }, 1033 'operators': [{ 1034 'name': 'reduceSumSquare', 1035 'arguments': [{'input': 'reduceSumSquareInput'}], 1036 'outputs': 'reduceSumSquareOutput' 1037 }], 1038 'expectedOutputs': { 1039 'reduceSumSquareOutput': { 1040 'data': [30.515625], 1041 'descriptor': {shape: [], dataType: 'float16'} 1042 } 1043 } 1044 } 1045 }, 1046 { 1047 'name': 'reduceSumSquare float16 3D tensor options.axes', 1048 'graph': { 1049 'inputs': { 1050 'reduceSumSquareInput': { 1051 'data': [ 1052 1.3935546875, 1.20703125, 1.18359375, 0.3759765625, 1053 0.69677734375, 0.75244140625, 1.068359375, 1.455078125, 1054 0.87890625, 0.2149658203125, 0.7998046875, 0.135986328125, 1055 1.099609375, 0.77685546875, 1.1025390625, 0.65625, 1056 1.703125, 1.6025390625, 1.5185546875, 1.892578125, 1057 0.8408203125, 1.2294921875, 1.529296875, 0.64404296875 1058 ], 1059 'descriptor': {shape: [2, 3, 4], dataType: 'float16'} 1060 } 1061 }, 1062 'operators': [{ 1063 'name': 'reduceSumSquare', 1064 'arguments': 1065 [{'input': 'reduceSumSquareInput'}, {'options': {'axes': [2]}}], 1066 'outputs': 'reduceSumSquareOutput' 1067 }], 1068 'expectedOutputs': { 1069 'reduceSumSquareOutput': { 1070 'data': [ 1071 4.94140625, 4.30859375, 1.4765625, 3.458984375, 11.359375, 1072 4.97265625 1073 ], 1074 'descriptor': {shape: [2, 3], dataType: 'float16'} 1075 } 1076 } 1077 } 1078 }, 1079 { 1080 'name': 'reduceSumSquare float16 4D tensor options.axes', 1081 'graph': { 1082 'inputs': { 1083 'reduceSumSquareInput': { 1084 'data': [ 1085 1.3935546875, 1.20703125, 1.18359375, 0.3759765625, 1086 0.69677734375, 0.75244140625, 1.068359375, 1.455078125, 1087 0.87890625, 0.2149658203125, 0.7998046875, 0.135986328125, 1088 1.099609375, 0.77685546875, 1.1025390625, 0.65625, 1089 1.703125, 1.6025390625, 1.5185546875, 1.892578125, 1090 0.8408203125, 1.2294921875, 1.529296875, 0.64404296875 1091 ], 1092 'descriptor': {shape: [2, 2, 2, 3], dataType: 'float16'} 1093 } 1094 }, 1095 'operators': [{ 1096 'name': 'reduceSumSquare', 1097 'arguments': 1098 [{'input': 'reduceSumSquareInput'}, {'options': {'axes': [0, 2]}}], 1099 'outputs': 'reduceSumSquareOutput' 1100 }], 1101 'expectedOutputs': { 1102 'reduceSumSquareOutput': { 1103 'data': [ 1104 3.72265625, 5.4453125, 5.75, 5.00390625, 8.6796875, 1.9130859375 1105 ], 1106 'descriptor': {shape: [2, 3], dataType: 'float16'} 1107 } 1108 } 1109 } 1110 }, 1111 { 1112 'name': 'reduceSumSquare float16 3D tensor options.keepDimensions=false', 1113 'graph': { 1114 'inputs': { 1115 'reduceSumSquareInput': { 1116 'data': [ 1117 1.3935546875, 1.20703125, 1.18359375, 0.3759765625, 1118 0.69677734375, 0.75244140625, 1.068359375, 1.455078125, 1119 0.87890625, 0.2149658203125, 0.7998046875, 0.135986328125, 1120 1.099609375, 0.77685546875, 1.1025390625, 0.65625, 1121 1.703125, 1.6025390625, 1.5185546875, 1.892578125, 1122 0.8408203125, 1.2294921875, 1.529296875, 0.64404296875 1123 ], 1124 'descriptor': {shape: [2, 3, 4], dataType: 'float16'} 1125 } 1126 }, 1127 'operators': [{ 1128 'name': 'reduceSumSquare', 1129 'arguments': [ 1130 {'input': 'reduceSumSquareInput'}, 1131 {'options': {'keepDimensions': false}} 1132 ], 1133 'outputs': 'reduceSumSquareOutput' 1134 }], 1135 'expectedOutputs': { 1136 'reduceSumSquareOutput': { 1137 'data': [30.515625], 1138 'descriptor': {shape: [], dataType: 'float16'} 1139 } 1140 } 1141 } 1142 }, 1143 { 1144 'name': 'reduceSumSquare float16 3D tensor options.keepDimensions=true', 1145 'graph': { 1146 'inputs': { 1147 'reduceSumSquareInput': { 1148 'data': [ 1149 1.3935546875, 1.20703125, 1.18359375, 0.3759765625, 1150 0.69677734375, 0.75244140625, 1.068359375, 1.455078125, 1151 0.87890625, 0.2149658203125, 0.7998046875, 0.135986328125, 1152 1.099609375, 0.77685546875, 1.1025390625, 0.65625, 1153 1.703125, 1.6025390625, 1.5185546875, 1.892578125, 1154 0.8408203125, 1.2294921875, 1.529296875, 0.64404296875 1155 ], 1156 'descriptor': {shape: [2, 3, 4], dataType: 'float16'} 1157 } 1158 }, 1159 'operators': [{ 1160 'name': 'reduceSumSquare', 1161 'arguments': [ 1162 {'input': 'reduceSumSquareInput'}, 1163 {'options': {'keepDimensions': true}} 1164 ], 1165 'outputs': 'reduceSumSquareOutput' 1166 }], 1167 'expectedOutputs': { 1168 'reduceSumSquareOutput': { 1169 'data': [30.515625], 1170 'descriptor': {shape: [1, 1, 1], dataType: 'float16'} 1171 } 1172 } 1173 } 1174 }, 1175 { 1176 'name': 'reduceSumSquare float16 4D tensor options.keepDimensions=false', 1177 'graph': { 1178 'inputs': { 1179 'reduceSumSquareInput': { 1180 'data': [ 1181 1.3935546875, 1.20703125, 1.18359375, 0.3759765625, 1182 0.69677734375, 0.75244140625, 1.068359375, 1.455078125, 1183 0.87890625, 0.2149658203125, 0.7998046875, 0.135986328125, 1184 1.099609375, 0.77685546875, 1.1025390625, 0.65625, 1185 1.703125, 1.6025390625, 1.5185546875, 1.892578125, 1186 0.8408203125, 1.2294921875, 1.529296875, 0.64404296875 1187 ], 1188 'descriptor': {shape: [2, 2, 2, 3], dataType: 'float16'} 1189 } 1190 }, 1191 'operators': [{ 1192 'name': 'reduceSumSquare', 1193 'arguments': [ 1194 {'input': 'reduceSumSquareInput'}, 1195 {'options': {'keepDimensions': false}} 1196 ], 1197 'outputs': 'reduceSumSquareOutput' 1198 }], 1199 'expectedOutputs': { 1200 'reduceSumSquareOutput': { 1201 'data': [30.515625], 1202 'descriptor': {shape: [], dataType: 'float16'} 1203 } 1204 } 1205 } 1206 }, 1207 { 1208 'name': 'reduceSumSquare float16 4D tensor options.keepDimensions=true', 1209 'graph': { 1210 'inputs': { 1211 'reduceSumSquareInput': { 1212 'data': [ 1213 1.3935546875, 1.20703125, 1.18359375, 0.3759765625, 1214 0.69677734375, 0.75244140625, 1.068359375, 1.455078125, 1215 0.87890625, 0.2149658203125, 0.7998046875, 0.135986328125, 1216 1.099609375, 0.77685546875, 1.1025390625, 0.65625, 1217 1.703125, 1.6025390625, 1.5185546875, 1.892578125, 1218 0.8408203125, 1.2294921875, 1.529296875, 0.64404296875 1219 ], 1220 'descriptor': {shape: [2, 2, 2, 3], dataType: 'float16'} 1221 } 1222 }, 1223 'operators': [{ 1224 'name': 'reduceSumSquare', 1225 'arguments': [ 1226 {'input': 'reduceSumSquareInput'}, 1227 {'options': {'keepDimensions': true}} 1228 ], 1229 'outputs': 'reduceSumSquareOutput' 1230 }], 1231 'expectedOutputs': { 1232 'reduceSumSquareOutput': { 1233 'data': [30.515625], 1234 'descriptor': {shape: [1, 1, 1, 1], dataType: 'float16'} 1235 } 1236 } 1237 } 1238 }, 1239 { 1240 'name': 1241 'reduceSumSquare float16 4D tensor options.axes with options.keepDimensions=false', 1242 'graph': { 1243 'inputs': { 1244 'reduceSumSquareInput': { 1245 'data': [ 1246 1.3935546875, 1.20703125, 1.18359375, 0.3759765625, 1247 0.69677734375, 0.75244140625, 1.068359375, 1.455078125, 1248 0.87890625, 0.2149658203125, 0.7998046875, 0.135986328125, 1249 1.099609375, 0.77685546875, 1.1025390625, 0.65625, 1250 1.703125, 1.6025390625, 1.5185546875, 1.892578125, 1251 0.8408203125, 1.2294921875, 1.529296875, 0.64404296875 1252 ], 1253 'descriptor': {shape: [2, 2, 2, 3], dataType: 'float16'} 1254 } 1255 }, 1256 'operators': [{ 1257 'name': 'reduceSumSquare', 1258 'arguments': [ 1259 {'input': 'reduceSumSquareInput'}, 1260 {'options': {'axes': [1, 3], 'keepDimensions': false}} 1261 ], 1262 'outputs': 'reduceSumSquareOutput' 1263 }], 1264 'expectedOutputs': { 1265 'reduceSumSquareOutput': { 1266 'data': [8.828125, 1.8974609375, 9.625, 10.1640625], 1267 'descriptor': {shape: [2, 2], dataType: 'float16'} 1268 } 1269 } 1270 } 1271 }, 1272 { 1273 'name': 1274 'reduceSumSquare float16 4D tensor options.axes with options.keepDimensions=true', 1275 'graph': { 1276 'inputs': { 1277 'reduceSumSquareInput': { 1278 'data': [ 1279 1.3935546875, 1.20703125, 1.18359375, 0.3759765625, 1280 0.69677734375, 0.75244140625, 1.068359375, 1.455078125, 1281 0.87890625, 0.2149658203125, 0.7998046875, 0.135986328125, 1282 1.099609375, 0.77685546875, 1.1025390625, 0.65625, 1283 1.703125, 1.6025390625, 1.5185546875, 1.892578125, 1284 0.8408203125, 1.2294921875, 1.529296875, 0.64404296875 1285 ], 1286 'descriptor': {shape: [2, 2, 2, 3], dataType: 'float16'} 1287 } 1288 }, 1289 'operators': [{ 1290 'name': 'reduceSumSquare', 1291 'arguments': [ 1292 {'input': 'reduceSumSquareInput'}, 1293 {'options': {'axes': [1, 3], 'keepDimensions': true}} 1294 ], 1295 'outputs': 'reduceSumSquareOutput' 1296 }], 1297 'expectedOutputs': { 1298 'reduceSumSquareOutput': { 1299 'data': [8.828125, 1.8974609375, 9.625, 10.1640625], 1300 'descriptor': {shape: [2, 1, 2, 1], dataType: 'float16'} 1301 } 1302 } 1303 } 1304 } 1305 ]; 1306 1307 webnn_conformance_test( 1308 reduceSumSquareTests, buildAndExecuteGraph, getPrecisionTolerance);