Coverage for src/flag_gems/ops/__init__.py: 100%

1from flag_gems.ops._functional_sym_constrain_range_for_size import ( 

2 _functional_sym_constrain_range_for_size, 

3) 

4from flag_gems.ops._is_all_true import _is_all_true 

5from flag_gems.ops._safe_softmax import _safe_softmax 

6from flag_gems.ops._upsample_nearest_exact1d import _upsample_nearest_exact1d 

7from flag_gems.ops.abs import abs, abs_ 

8from flag_gems.ops.absolute import absolute 

9from flag_gems.ops.acos import acos 

10from flag_gems.ops.act_quant import act_quant_triton 

11from flag_gems.ops.add import add, add_ 

12from flag_gems.ops.addcdiv import addcdiv, addcdiv_out 

13from flag_gems.ops.addcmul import addcmul, addcmul_out 

14from flag_gems.ops.addmm import addmm, addmm_dtype, addmm_dtype_out, addmm_out 

15from flag_gems.ops.addmv import addmv, addmv_out 

16from flag_gems.ops.addr import addr 

17from flag_gems.ops.alias_copy import alias_copy, alias_copy_out 

18from flag_gems.ops.all import all, all_dim, all_dims 

19from flag_gems.ops.amax import amax 

20from flag_gems.ops.aminmax import aminmax 

21from flag_gems.ops.angle import angle 

22from flag_gems.ops.any import any, any_dim, any_dims 

23from flag_gems.ops.arange import arange, arange_start 

24from flag_gems.ops.arcsinh import arcsinh, arcsinh_out 

25from flag_gems.ops.arcsinh_ import arcsinh_ 

26from flag_gems.ops.arctanh_ import arctanh_ 

27from flag_gems.ops.argmax import argmax 

28from flag_gems.ops.argmin import argmin 

29from flag_gems.ops.asinh import asinh, asinh_out 

30from flag_gems.ops.asinh_ import asinh_ 

31from flag_gems.ops.assert_async import _assert_async 

32from flag_gems.ops.atan import atan, atan_ 

33from flag_gems.ops.atan2 import atan2, atan2_out 

34from flag_gems.ops.attention import ( 

35 ScaleDotProductAttention, 

36 flash_attention_forward, 

37 flash_attn_varlen_func, 

38 flash_attn_varlen_opt_func, 

39 scaled_dot_product_attention, 

40 scaled_dot_product_attention_backward, 

41 scaled_dot_product_attention_forward, 

42) 

43from flag_gems.ops.avg_pool2d import avg_pool2d, avg_pool2d_backward 

44from flag_gems.ops.avg_pool3d import avg_pool3d, avg_pool3d_backward 

45from flag_gems.ops.baddbmm import baddbmm, baddbmm_out 

46from flag_gems.ops.batch_norm import batch_norm, batch_norm_backward 

47from flag_gems.ops.bernoulli_ import bernoulli_ 

48from flag_gems.ops.bitwise_and import ( 

49 bitwise_and_scalar, 

50 bitwise_and_scalar_, 

51 bitwise_and_scalar_tensor, 

52 bitwise_and_tensor, 

53 bitwise_and_tensor_, 

54) 

55from flag_gems.ops.bitwise_left_shift import bitwise_left_shift 

56from flag_gems.ops.bitwise_not import bitwise_not, bitwise_not_ 

57from flag_gems.ops.bitwise_or import ( 

58 bitwise_or_scalar, 

59 bitwise_or_scalar_, 

60 bitwise_or_scalar_tensor, 

61 bitwise_or_tensor, 

62 bitwise_or_tensor_, 

63) 

64from flag_gems.ops.bitwise_right_shift import bitwise_right_shift 

65from flag_gems.ops.bmm import bmm, bmm_out 

66from flag_gems.ops.cat import cat, cat_out 

67from flag_gems.ops.ceil import ceil, ceil_, ceil_out 

68from flag_gems.ops.celu import celu, celu_ 

69from flag_gems.ops.clamp import ( 

70 clamp, 

71 clamp_, 

72 clamp_min, 

73 clamp_min_, 

74 clamp_tensor, 

75 clamp_tensor_, 

76) 

77from flag_gems.ops.clip import clip, clip_ 

78from flag_gems.ops.conj_physical import conj_physical 

79from flag_gems.ops.contiguous import contiguous 

80from flag_gems.ops.conv1d import conv1d 

81from flag_gems.ops.conv2d import conv2d 

82from flag_gems.ops.conv3d import conv3d 

83from flag_gems.ops.conv_depthwise2d import _conv_depthwise2d 

84from flag_gems.ops.copy import copy, copy_ 

85from flag_gems.ops.copysign import copysign, copysign_out 

86from flag_gems.ops.cos import cos, cos_ 

87from flag_gems.ops.cosh import cosh, cosh_, cosh_out 

88from flag_gems.ops.count_nonzero import count_nonzero 

89from flag_gems.ops.cummax import cummax 

90from flag_gems.ops.cummin import cummin 

91from flag_gems.ops.cumsum import cumsum, cumsum_out, normed_cumsum 

92from flag_gems.ops.diag import diag 

93from flag_gems.ops.diag_embed import diag_embed 

94from flag_gems.ops.diagonal import diagonal_backward 

95from flag_gems.ops.digamma_ import digamma_ 

96from flag_gems.ops.div import ( 

97 div_mode, 

98 div_mode_, 

99 floor_divide, 

100 floor_divide_, 

101 remainder, 

102 remainder_, 

103 true_divide, 

104 true_divide_, 

105 true_divide_out, 

106) 

107from flag_gems.ops.dot import dot 

108from flag_gems.ops.dropout import dropout, dropout_backward 

109from flag_gems.ops.elu import elu, elu_, elu_backward 

110from flag_gems.ops.embedding import embedding, embedding_backward 

111from flag_gems.ops.embedding_dense_backward import embedding_dense_backward 

112from flag_gems.ops.eq import eq, eq_scalar, equal 

113from flag_gems.ops.erf import erf, erf_ 

114from flag_gems.ops.exp import exp, exp_, exp_out 

115from flag_gems.ops.exp2 import exp2, exp2_ 

116from flag_gems.ops.expm1 import expm1, expm1_, expm1_out 

117from flag_gems.ops.exponential_ import exponential_ 

118from flag_gems.ops.eye import eye 

119from flag_gems.ops.eye_m import eye_m 

120from flag_gems.ops.fill import ( 

121 fill_scalar, 

122 fill_scalar_, 

123 fill_scalar_out, 

124 fill_tensor, 

125 fill_tensor_, 

126 fill_tensor_out, 

127) 

128from flag_gems.ops.flip import flip 

129from flag_gems.ops.floor_ import floor_ 

130from flag_gems.ops.fmin import fmin, fmin_out 

131from flag_gems.ops.fp8_matmul import fp8_matmul 

132from flag_gems.ops.full import full 

133from flag_gems.ops.full_like import full_like 

134from flag_gems.ops.gather import gather, gather_backward 

135from flag_gems.ops.gcd import gcd, gcd_out 

136from flag_gems.ops.ge import ge, ge_scalar 

137from flag_gems.ops.gelu import gelu, gelu_, gelu_backward 

138from flag_gems.ops.get_paged_mqa_logits_metadata import get_paged_mqa_logits_metadata 

139from flag_gems.ops.get_scheduler_metadata import get_scheduler_metadata 

140from flag_gems.ops.glu import glu, glu_backward 

141from flag_gems.ops.greater import ( 

142 greater, 

143 greater_out, 

144 greater_scalar, 

145 greater_scalar_out, 

146) 

147from flag_gems.ops.grid_sample import grid_sample 

148from flag_gems.ops.group_gemm import group_mm 

149from flag_gems.ops.groupnorm import group_norm, group_norm_backward 

150from flag_gems.ops.gt import gt, gt_scalar 

151from flag_gems.ops.hadamard_transform import hadamard_transform 

152from flag_gems.ops.hardsigmoid import hardsigmoid, hardsigmoid_out 

153from flag_gems.ops.hardswish_ import hardswish_ 

154from flag_gems.ops.hstack import hstack 

155from flag_gems.ops.hypot import hypot, hypot_out 

156from flag_gems.ops.i0 import i0, i0_out 

157from flag_gems.ops.i0_ import i0_ 

158from flag_gems.ops.index import index 

159from flag_gems.ops.index_add import index_add, index_add_ 

160from flag_gems.ops.index_put import _index_put_impl_, index_put, index_put_ 

161from flag_gems.ops.index_select import index_select 

162from flag_gems.ops.isclose import allclose, isclose 

163from flag_gems.ops.isfinite import isfinite 

164from flag_gems.ops.isin import isin 

165from flag_gems.ops.isinf import isinf 

166from flag_gems.ops.isnan import isnan 

167from flag_gems.ops.isneginf import isneginf, isneginf_out 

168from flag_gems.ops.kron import kron 

169from flag_gems.ops.layernorm import layer_norm, layer_norm_backward 

170from flag_gems.ops.le import le, le_scalar 

171from flag_gems.ops.leaky_relu import leaky_relu, leaky_relu_, leaky_relu_out 

172from flag_gems.ops.lerp import lerp_scalar, lerp_scalar_, lerp_tensor, lerp_tensor_ 

173from flag_gems.ops.lift_fresh_copy import lift_fresh_copy, lift_fresh_copy_out 

174from flag_gems.ops.linspace import linspace 

175from flag_gems.ops.log import log 

176from flag_gems.ops.log1p_ import log1p_ 

177from flag_gems.ops.log10 import log10, log10_, log10_out 

178from flag_gems.ops.log_sigmoid import log_sigmoid 

179from flag_gems.ops.log_softmax import ( 

180 log_softmax, 

181 log_softmax_backward, 

182 log_softmax_backward_out, 

183 log_softmax_out, 

184) 

185from flag_gems.ops.logaddexp import logaddexp, logaddexp_out 

186from flag_gems.ops.logical_and import logical_and, logical_and_ 

187from flag_gems.ops.logical_not import logical_not 

188from flag_gems.ops.logical_or import logical_or, logical_or_ 

189from flag_gems.ops.logical_xor import logical_xor 

190from flag_gems.ops.logit import logit, logit_out 

191from flag_gems.ops.logit_ import logit_ 

192from flag_gems.ops.logspace import logspace 

193from flag_gems.ops.lt import lt, lt_scalar 

194from flag_gems.ops.margin_ranking_loss import margin_ranking_loss 

195from flag_gems.ops.masked_fill import masked_fill, masked_fill_ 

196from flag_gems.ops.masked_scatter import masked_scatter, masked_scatter_ 

197from flag_gems.ops.masked_select import masked_select 

198from flag_gems.ops.max import max, max_dim 

199from flag_gems.ops.max_pool2d_with_indices import ( 

200 max_pool2d_backward, 

201 max_pool2d_with_indices, 

202) 

203from flag_gems.ops.max_pool3d_with_indices import ( 

204 max_pool3d_backward, 

205 max_pool3d_with_indices, 

206) 

207from flag_gems.ops.maximum import maximum 

208from flag_gems.ops.mean import mean, mean_dim 

209from flag_gems.ops.min import min, min_dim 

210from flag_gems.ops.minimum import minimum 

211from flag_gems.ops.mm import mm, mm_out 

212from flag_gems.ops.mse_loss import mse_loss 

213from flag_gems.ops.mul import mul, mul_ 

214from flag_gems.ops.multinomial import multinomial 

215from flag_gems.ops.mv import mv 

216from flag_gems.ops.nan_to_num import nan_to_num 

217from flag_gems.ops.ne import ne, ne_scalar 

218from flag_gems.ops.neg import neg, neg_ 

219from flag_gems.ops.new_full import new_full 

220from flag_gems.ops.nll_loss_nd import nll_loss_nd_backward, nll_loss_nd_forward 

221from flag_gems.ops.nllloss import ( 

222 nll_loss2d_backward, 

223 nll_loss2d_forward, 

224 nll_loss_backward, 

225 nll_loss_forward, 

226) 

227from flag_gems.ops.nonzero import nonzero 

228from flag_gems.ops.normal import ( 

229 normal_, 

230 normal_float_tensor, 

231 normal_tensor_float, 

232 normal_tensor_tensor, 

233) 

234from flag_gems.ops.one_hot import one_hot 

235from flag_gems.ops.ones import ones 

236from flag_gems.ops.ones_like import ones_like 

237from flag_gems.ops.pad import constant_pad_nd, pad 

238from flag_gems.ops.per_token_group_quant_fp8 import ( 

239 SUPPORTED_FP8_DTYPE, 

240 per_token_group_quant_fp8, 

241) 

242from flag_gems.ops.pixel_shuffle import pixel_shuffle 

243from flag_gems.ops.pixel_unshuffle import pixel_unshuffle, pixel_unshuffle_out 

244from flag_gems.ops.polar import polar 

245from flag_gems.ops.pow import ( 

246 pow_scalar, 

247 pow_tensor_scalar, 

248 pow_tensor_scalar_, 

249 pow_tensor_tensor, 

250 pow_tensor_tensor_, 

251) 

252from flag_gems.ops.prelu import prelu 

253from flag_gems.ops.prod import prod, prod_dim 

254from flag_gems.ops.quantile import quantile 

255from flag_gems.ops.rand import rand 

256from flag_gems.ops.rand_like import rand_like 

257from flag_gems.ops.randn import randn 

258from flag_gems.ops.randn_like import randn_like 

259from flag_gems.ops.randperm import randperm 

260from flag_gems.ops.reciprocal import reciprocal, reciprocal_ 

261from flag_gems.ops.reflection_pad1d import reflection_pad1d, reflection_pad1d_out 

262from flag_gems.ops.reflection_pad2d import reflection_pad2d, reflection_pad2d_out 

263from flag_gems.ops.relu import relu, relu_ 

264from flag_gems.ops.relu6 import relu6 

265from flag_gems.ops.repeat import repeat 

266from flag_gems.ops.repeat_interleave import ( 

267 repeat_interleave_self_int, 

268 repeat_interleave_self_tensor, 

269 repeat_interleave_tensor, 

270) 

271from flag_gems.ops.replication_pad1d import replication_pad1d, replication_pad1d_out 

272from flag_gems.ops.replication_pad3d import replication_pad3d 

273from flag_gems.ops.resolve_conj import resolve_conj 

274from flag_gems.ops.resolve_neg import resolve_neg 

275from flag_gems.ops.rms_norm import rms_norm, rms_norm_backward, rms_norm_forward 

276from flag_gems.ops.roll import roll 

277from flag_gems.ops.round import round, round_, round_out 

278from flag_gems.ops.rrelu_with_noise_backward import rrelu_with_noise_backward 

279from flag_gems.ops.rsqrt import rsqrt, rsqrt_ 

280from flag_gems.ops.scaled_softmax import scaled_softmax_backward, scaled_softmax_forward 

281from flag_gems.ops.scatter import scatter, scatter_ 

282from flag_gems.ops.scatter_add_ import scatter_add_ 

283from flag_gems.ops.select_backward import select_backward 

284from flag_gems.ops.select_scatter import select_scatter 

285from flag_gems.ops.selu import selu 

286from flag_gems.ops.selu_ import selu_ 

287from flag_gems.ops.sgn_ import sgn_ 

288from flag_gems.ops.sigmoid import sigmoid, sigmoid_, sigmoid_backward 

289from flag_gems.ops.signbit import signbit, signbit_out 

290from flag_gems.ops.silu import silu, silu_, silu_backward 

291from flag_gems.ops.sin import sin, sin_ 

292from flag_gems.ops.sinh_ import sinh_ 

293from flag_gems.ops.slice_backward import slice_backward 

294from flag_gems.ops.slice_scatter import slice_scatter 

295from flag_gems.ops.soft_margin_loss import soft_margin_loss, soft_margin_loss_out 

296from flag_gems.ops.softmax import ( 

297 softmax, 

298 softmax_backward, 

299 softmax_backward_out, 

300 softmax_out, 

301) 

302from flag_gems.ops.softplus import softplus 

303from flag_gems.ops.softshrink import softshrink, softshrink_out 

304from flag_gems.ops.sort import sort, sort_stable 

305from flag_gems.ops.special_i0e import special_i0e, special_i0e_out 

306from flag_gems.ops.special_i1 import special_i1, special_i1_out 

307from flag_gems.ops.sqrt import sqrt, sqrt_ 

308from flag_gems.ops.square import square, square_, square_out 

309from flag_gems.ops.stack import stack 

310from flag_gems.ops.std import std 

311from flag_gems.ops.sub import sub, sub_ 

312from flag_gems.ops.sum import sum, sum_dim, sum_dim_out, sum_out 

313from flag_gems.ops.t_copy import t_copy, t_copy_out 

314from flag_gems.ops.tan import tan, tan_ 

315from flag_gems.ops.tanh import tanh, tanh_, tanh_backward 

316from flag_gems.ops.threshold import threshold, threshold_backward 

317from flag_gems.ops.tile import tile 

318from flag_gems.ops.to import to_copy 

319from flag_gems.ops.topk import topk 

320from flag_gems.ops.trace import trace 

321from flag_gems.ops.tril import tril, tril_out 

322from flag_gems.ops.triu import triu, triu_ 

323from flag_gems.ops.unfold_backward import unfold_backward 

324from flag_gems.ops.uniform import uniform_ 

325from flag_gems.ops.unique import _unique2 

326from flag_gems.ops.unique_consecutive import unique_consecutive 

327from flag_gems.ops.upsample_bicubic2d import upsample_bicubic2d 

328from flag_gems.ops.upsample_bicubic2d_aa import _upsample_bicubic2d_aa 

329from flag_gems.ops.upsample_bicubic2d_aa_backward import _upsample_bicubic2d_aa_backward 

330from flag_gems.ops.upsample_linear1d import upsample_linear1d 

331from flag_gems.ops.upsample_nearest1d import upsample_nearest1d 

332from flag_gems.ops.upsample_nearest2d import upsample_nearest2d 

333from flag_gems.ops.upsample_nearest3d import upsample_nearest3d 

334from flag_gems.ops.var import var, var_correction, var_dim 

335from flag_gems.ops.var_mean import var_mean 

336from flag_gems.ops.vdot import vdot 

337from flag_gems.ops.vector_norm import vector_norm 

338from flag_gems.ops.vstack import vstack 

339from flag_gems.ops.w8a8_block_fp8_matmul import w8a8_block_fp8_matmul 

340from flag_gems.ops.weightnorm import ( 

341 weight_norm_interface, 

342 weight_norm_interface_backward, 

343) 

344from flag_gems.ops.where import ( 

345 where_scalar_other, 

346 where_scalar_self, 

347 where_self, 

348 where_self_out, 

349) 

350from flag_gems.ops.zero import zero, zero_out 

351from flag_gems.ops.zeros import zero_, zeros 

352from flag_gems.ops.zeros_like import zeros_like 

353 

354__all__ = [ 

355 "_assert_async", 

356 "_conv_depthwise2d", 

357 "_functional_sym_constrain_range_for_size", 

358 "_index_put_impl_", 

359 "_is_all_true", 

360 "_safe_softmax", 

361 "_unique2", 

362 "_upsample_bicubic2d_aa", 

363 "_upsample_bicubic2d_aa_backward", 

364 "_upsample_nearest_exact1d", 

365 "abs", 

366 "abs_", 

367 "absolute", 

368 "act_quant_triton", 

369 "acos", 

370 "add", 

371 "add_", 

372 "addcdiv", 

373 "addcdiv_out", 

374 "addcmul", 

375 "addcmul_out", 

376 "addmm", 

377 "addmm_dtype", 

378 "addmm_dtype_out", 

379 "addmm_out", 

380 "addmv", 

381 "addmv_out", 

382 "addr", 

383 "alias_copy", 

384 "alias_copy_out", 

385 "all", 

386 "all_dim", 

387 "all_dims", 

388 "allclose", 

389 "amax", 

390 "aminmax", 

391 "angle", 

392 "any", 

393 "any_dim", 

394 "any_dims", 

395 "arange", 

396 "arange_start", 

397 "arcsinh", 

398 "arcsinh_out", 

399 "arctanh_", 

400 "arcsinh_", 

401 "argmax", 

402 "argmin", 

403 "asinh", 

404 "asinh_", 

405 "asinh_out", 

406 "atan", 

407 "atan_", 

408 "atan2", 

409 "atan2_out", 

410 "avg_pool2d", 

411 "avg_pool2d_backward", 

412 "avg_pool3d", 

413 "avg_pool3d_backward", 

414 "baddbmm", 

415 "baddbmm_out", 

416 "batch_norm", 

417 "batch_norm_backward", 

418 "bernoulli_", 

419 "bitwise_and_scalar", 

420 "bitwise_and_scalar_", 

421 "bitwise_and_scalar_tensor", 

422 "bitwise_and_tensor", 

423 "bitwise_and_tensor_", 

424 "bitwise_left_shift", 

425 "bitwise_not", 

426 "bitwise_not_", 

427 "bitwise_or_scalar", 

428 "bitwise_or_scalar_", 

429 "bitwise_or_scalar_tensor", 

430 "bitwise_or_tensor", 

431 "bitwise_or_tensor_", 

432 "bitwise_right_shift", 

433 "bmm", 

434 "bmm_out", 

435 "cat", 

436 "cat_out", 

437 "ceil", 

438 "ceil_", 

439 "ceil_out", 

440 "celu", 

441 "celu_", 

442 "clamp", 

443 "clamp_", 

444 "clamp_min", 

445 "clamp_min_", 

446 "clamp_tensor", 

447 "clamp_tensor_", 

448 "clip", 

449 "clip_", 

450 "constant_pad_nd", 

451 "contiguous", 

452 "conv1d", 

453 "conv2d", 

454 "conv3d", 

455 "copy", 

456 "copy_", 

457 "copysign", 

458 "copysign_out", 

459 "cos", 

460 "cos_", 

461 "cosh", 

462 "cosh_", 

463 "cosh_out", 

464 "count_nonzero", 

465 "cummax", 

466 "cummin", 

467 "cumsum", 

468 "cumsum_out", 

469 "conj_physical", 

470 "diag", 

471 "diag_embed", 

472 "diagonal_backward", 

473 "digamma_", 

474 "div_mode", 

475 "div_mode_", 

476 "dot", 

477 "dropout", 

478 "dropout_backward", 

479 "elu", 

480 "elu_", 

481 "elu_backward", 

482 "embedding", 

483 "embedding_backward", 

484 "embedding_dense_backward", 

485 "eq", 

486 "eq_scalar", 

487 "equal", 

488 "erf", 

489 "erf_", 

490 "exp", 

491 "exp_", 

492 "exp_out", 

493 "exp2", 

494 "exp2_", 

495 "expm1", 

496 "expm1_", 

497 "expm1_out", 

498 "exponential_", 

499 "eye", 

500 "eye_m", 

501 "fill_scalar", 

502 "fill_scalar_", 

503 "fill_scalar_out", 

504 "fill_tensor", 

505 "fill_tensor_", 

506 "fill_tensor_out", 

507 "flash_attention_forward", 

508 "flash_attn_varlen_func", 

509 "flash_attn_varlen_opt_func", 

510 "flip", 

511 "floor_", 

512 "floor_divide", 

513 "floor_divide_", 

514 "fmin", 

515 "fmin_out", 

516 "full", 

517 "full_like", 

518 "gather", 

519 "gather_backward", 

520 "gcd", 

521 "gcd_out", 

522 "ge", 

523 "ge_scalar", 

524 "gelu", 

525 "gelu_", 

526 "gelu_backward", 

527 "get_paged_mqa_logits_metadata", 

528 "get_scheduler_metadata", 

529 "glu", 

530 "glu_backward", 

531 "grid_sample", 

532 "greater", 

533 "greater_out", 

534 "greater_scalar", 

535 "greater_scalar_out", 

536 "group_mm", 

537 "group_norm", 

538 "group_norm_backward", 

539 "gt", 

540 "gt_scalar", 

541 "hadamard_transform", 

542 "hardsigmoid", 

543 "hardsigmoid_out", 

544 "hardswish_", 

545 "hstack", 

546 "hypot", 

547 "hypot_out", 

548 "i0", 

549 "i0_out", 

550 "i0_", 

551 "index", 

552 "index_add", 

553 "index_add_", 

554 "index_put", 

555 "index_put_", 

556 "index_select", 

557 "isclose", 

558 "isfinite", 

559 "isin", 

560 "isinf", 

561 "isnan", 

562 "isneginf", 

563 "isneginf_out", 

564 "kron", 

565 "layer_norm", 

566 "layer_norm_backward", 

567 "leaky_relu", 

568 "leaky_relu_", 

569 "leaky_relu_out", 

570 "le", 

571 "le_scalar", 

572 "lerp_scalar", 

573 "lerp_scalar_", 

574 "lerp_tensor", 

575 "lerp_tensor_", 

576 "lift_fresh_copy", 

577 "lift_fresh_copy_out", 

578 "linspace", 

579 "log", 

580 "log10", 

581 "log10_", 

582 "log10_out", 

583 "log_sigmoid", 

584 "log_softmax", 

585 "log_softmax_backward", 

586 "log_softmax_backward_out", 

587 "log_softmax_out", 

588 "log1p_", 

589 "logaddexp", 

590 "logaddexp_out", 

591 "logical_and", 

592 "logical_and_", 

593 "logical_not", 

594 "logical_or", 

595 "logical_or_", 

596 "logical_xor", 

597 "logit", 

598 "logit_out", 

599 "logit_", 

600 "logspace", 

601 "lt", 

602 "lt_scalar", 

603 "margin_ranking_loss", 

604 "masked_fill", 

605 "masked_fill_", 

606 "masked_scatter", 

607 "masked_scatter_", 

608 "masked_select", 

609 "max", 

610 "max_dim", 

611 "max_pool2d_with_indices", 

612 "max_pool2d_backward", 

613 "max_pool3d_with_indices", 

614 "max_pool3d_backward", 

615 "maximum", 

616 "mean", 

617 "mean_dim", 

618 "min", 

619 "min_dim", 

620 "minimum", 

621 "mm", 

622 "mm_out", 

623 "mse_loss", 

624 "mul", 

625 "mul_", 

626 "multinomial", 

627 "mv", 

628 "nan_to_num", 

629 "ne", 

630 "ne_scalar", 

631 "neg", 

632 "neg_", 

633 "new_full", 

634 "nll_loss_backward", 

635 "nll_loss_forward", 

636 "nll_loss2d_backward", 

637 "nll_loss2d_forward", 

638 "nll_loss_nd_forward", 

639 "nll_loss_nd_backward", 

640 "nonzero", 

641 "normal_float_tensor", 

642 "normal_tensor_float", 

643 "normal_tensor_tensor", 

644 "normal_", 

645 "normed_cumsum", 

646 "ones", 

647 "ones_like", 

648 "one_hot", 

649 "pad", 

650 "per_token_group_quant_fp8", 

651 "pixel_shuffle", 

652 "pixel_unshuffle", 

653 "pixel_unshuffle_out", 

654 "polar", 

655 "pow_scalar", 

656 "pow_tensor_scalar", 

657 "pow_tensor_scalar_", 

658 "pow_tensor_tensor", 

659 "pow_tensor_tensor_", 

660 "prelu", 

661 "prod", 

662 "prod_dim", 

663 "quantile", 

664 "rand", 

665 "rand_like", 

666 "randn", 

667 "randn_like", 

668 "randperm", 

669 "reciprocal", 

670 "reciprocal_", 

671 "reflection_pad2d", 

672 "reflection_pad2d_out", 

673 "reflection_pad1d", 

674 "reflection_pad1d_out", 

675 "relu", 

676 "relu_", 

677 "relu6", 

678 "remainder", 

679 "remainder_", 

680 "repeat", 

681 "repeat_interleave_self_int", 

682 "repeat_interleave_self_tensor", 

683 "repeat_interleave_tensor", 

684 "replication_pad1d", 

685 "replication_pad1d_out", 

686 "replication_pad3d", 

687 "resolve_conj", 

688 "resolve_neg", 

689 "rms_norm", 

690 "rms_norm_backward", 

691 "rms_norm_forward", 

692 "roll", 

693 "round", 

694 "round_", 

695 "round_out", 

696 "rrelu_with_noise_backward", 

697 "rsqrt", 

698 "rsqrt_", 

699 "scaled_dot_product_attention", 

700 "scaled_dot_product_attention_backward", 

701 "scaled_dot_product_attention_forward", 

702 "scaled_softmax_backward", 

703 "scaled_softmax_forward", 

704 "scatter", 

705 "scatter_", 

706 "scatter_add_", 

707 "select_backward", 

708 "select_scatter", 

709 "selu", 

710 "selu_", 

711 "sgn_", 

712 "sigmoid", 

713 "sigmoid_", 

714 "sigmoid_backward", 

715 "signbit", 

716 "signbit_out", 

717 "silu", 

718 "silu_", 

719 "silu_backward", 

720 "sin", 

721 "sin_", 

722 "sinh_", 

723 "slice_backward", 

724 "slice_scatter", 

725 "soft_margin_loss", 

726 "soft_margin_loss_out", 

727 "softmax", 

728 "softmax_backward", 

729 "softmax_backward_out", 

730 "softmax_out", 

731 "softplus", 

732 "softshrink", 

733 "softshrink_out", 

734 "sort", 

735 "sort_stable", 

736 "special_i1", 

737 "special_i1_out", 

738 "special_i0e", 

739 "special_i0e_out", 

740 "sqrt", 

741 "sqrt_", 

742 "square", 

743 "square_", 

744 "square_out", 

745 "stack", 

746 "std", 

747 "sub", 

748 "sub_", 

749 "sum", 

750 "sum_dim", 

751 "sum_dim_out", 

752 "sum_out", 

753 "ScaleDotProductAttention", 

754 "SUPPORTED_FP8_DTYPE", 

755 "t_copy", 

756 "t_copy_out", 

757 "tan", 

758 "tan_", 

759 "tanh", 

760 "tanh_", 

761 "tanh_backward", 

762 "threshold", 

763 "threshold_backward", 

764 "tile", 

765 "to_copy", 

766 "topk", 

767 "trace", 

768 "tril", 

769 "tril_out", 

770 "triu", 

771 "triu_", 

772 "true_divide", 

773 "true_divide_", 

774 "true_divide_out", 

775 "unfold_backward", 

776 "uniform_", 

777 "unique_consecutive", 

778 "upsample_bicubic2d", 

779 "upsample_linear1d", 

780 "upsample_nearest1d", 

781 "upsample_nearest2d", 

782 "upsample_nearest3d", 

783 "var_mean", 

784 "var", 

785 "var_correction", 

786 "var_dim", 

787 "vdot", 

788 "vector_norm", 

789 "vstack", 

790 "fp8_matmul", 

791 "w8a8_block_fp8_matmul", 

792 "weight_norm_interface", 

793 "weight_norm_interface_backward", 

794 "where_scalar_other", 

795 "where_scalar_self", 

796 "where_self", 

797 "where_self_out", 

798 "zero", 

799 "zero_out", 

800 "zero_", 

801 "zeros", 

802 "zeros_like", 

803]