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

1from flag_gems.ops.abs import abs, abs_ 

2from flag_gems.ops.acos import acos 

3from flag_gems.ops.add import add, add_ 

4from flag_gems.ops.addcdiv import addcdiv 

5from flag_gems.ops.addcmul import addcmul 

6from flag_gems.ops.addmm import addmm, addmm_out 

7from flag_gems.ops.addmv import addmv, addmv_out 

8from flag_gems.ops.addr import addr 

9from flag_gems.ops.all import all, all_dim, all_dims 

10from flag_gems.ops.amax import amax 

11from flag_gems.ops.angle import angle 

12from flag_gems.ops.any import any, any_dim, any_dims 

13from flag_gems.ops.arange import arange, arange_start 

14from flag_gems.ops.argmax import argmax 

15from flag_gems.ops.argmin import argmin 

16from flag_gems.ops.atan import atan, atan_ 

17from flag_gems.ops.attention import ( 

18 ScaleDotProductAttention, 

19 flash_attention_forward, 

20 flash_attn_varlen_func, 

21 scaled_dot_product_attention, 

22 scaled_dot_product_attention_backward, 

23 scaled_dot_product_attention_forward, 

24) 

25from flag_gems.ops.avg_pool2d import avg_pool2d, avg_pool2d_backward 

26from flag_gems.ops.baddbmm import baddbmm 

27from flag_gems.ops.batch_norm import batch_norm, batch_norm_backward 

28from flag_gems.ops.bitwise_and import ( 

29 bitwise_and_scalar, 

30 bitwise_and_scalar_, 

31 bitwise_and_scalar_tensor, 

32 bitwise_and_tensor, 

33 bitwise_and_tensor_, 

34) 

35from flag_gems.ops.bitwise_left_shift import bitwise_left_shift 

36from flag_gems.ops.bitwise_not import bitwise_not, bitwise_not_ 

37from flag_gems.ops.bitwise_or import ( 

38 bitwise_or_scalar, 

39 bitwise_or_scalar_, 

40 bitwise_or_scalar_tensor, 

41 bitwise_or_tensor, 

42 bitwise_or_tensor_, 

43) 

44from flag_gems.ops.bitwise_right_shift import bitwise_right_shift 

45from flag_gems.ops.bmm import bmm, bmm_out 

46from flag_gems.ops.cat import cat 

47from flag_gems.ops.ceil import ceil, ceil_, ceil_out 

48from flag_gems.ops.celu import celu, celu_ 

49from flag_gems.ops.clamp import ( 

50 clamp, 

51 clamp_, 

52 clamp_min, 

53 clamp_min_, 

54 clamp_tensor, 

55 clamp_tensor_, 

56) 

57from flag_gems.ops.contiguous import contiguous 

58from flag_gems.ops.conv1d import conv1d 

59from flag_gems.ops.conv2d import conv2d 

60from flag_gems.ops.conv3d import conv3d 

61from flag_gems.ops.conv_depthwise2d import _conv_depthwise2d 

62from flag_gems.ops.copy import copy, copy_ 

63from flag_gems.ops.cos import cos, cos_ 

64from flag_gems.ops.count_nonzero import count_nonzero 

65from flag_gems.ops.cummax import cummax 

66from flag_gems.ops.cummin import cummin 

67from flag_gems.ops.cumsum import cumsum, cumsum_out, normed_cumsum 

68from flag_gems.ops.diag import diag 

69from flag_gems.ops.diag_embed import diag_embed 

70from flag_gems.ops.diagonal import diagonal_backward 

71from flag_gems.ops.div import ( 

72 div_mode, 

73 div_mode_, 

74 floor_divide, 

75 floor_divide_, 

76 remainder, 

77 remainder_, 

78 true_divide, 

79 true_divide_, 

80 true_divide_out, 

81) 

82from flag_gems.ops.dot import dot 

83from flag_gems.ops.dropout import dropout, dropout_backward 

84from flag_gems.ops.elu import elu, elu_, elu_backward 

85from flag_gems.ops.embedding import embedding, embedding_backward 

86from flag_gems.ops.eq import eq, eq_scalar, equal 

87from flag_gems.ops.erf import erf, erf_ 

88from flag_gems.ops.exp import exp, exp_, exp_out 

89from flag_gems.ops.exp2 import exp2, exp2_ 

90from flag_gems.ops.exponential_ import exponential_ 

91from flag_gems.ops.eye import eye 

92from flag_gems.ops.eye_m import eye_m 

93from flag_gems.ops.fill import fill_scalar, fill_scalar_, fill_tensor, fill_tensor_ 

94from flag_gems.ops.flip import flip 

95from flag_gems.ops.full import full 

96from flag_gems.ops.full_like import full_like 

97from flag_gems.ops.gather import gather, gather_backward 

98from flag_gems.ops.ge import ge, ge_scalar 

99from flag_gems.ops.gelu import gelu, gelu_, gelu_backward 

100from flag_gems.ops.get_scheduler_metadata import get_scheduler_metadata 

101from flag_gems.ops.glu import glu, glu_backward 

102from flag_gems.ops.groupnorm import group_norm, group_norm_backward 

103from flag_gems.ops.gt import gt, gt_scalar 

104from flag_gems.ops.hstack import hstack 

105from flag_gems.ops.index import index 

106from flag_gems.ops.index_add import index_add, index_add_ 

107from flag_gems.ops.index_put import index_put, index_put_ 

108from flag_gems.ops.index_select import index_select 

109from flag_gems.ops.isclose import allclose, isclose 

110from flag_gems.ops.isfinite import isfinite 

111from flag_gems.ops.isin import isin 

112from flag_gems.ops.isinf import isinf 

113from flag_gems.ops.isnan import isnan 

114from flag_gems.ops.kron import kron 

115from flag_gems.ops.layernorm import layer_norm, layer_norm_backward 

116from flag_gems.ops.le import le, le_scalar 

117from flag_gems.ops.lerp import lerp_scalar, lerp_scalar_, lerp_tensor, lerp_tensor_ 

118from flag_gems.ops.linspace import linspace 

119from flag_gems.ops.log import log 

120from flag_gems.ops.log_sigmoid import log_sigmoid 

121from flag_gems.ops.log_softmax import log_softmax, log_softmax_backward 

122from flag_gems.ops.logical_and import logical_and, logical_and_ 

123from flag_gems.ops.logical_not import logical_not 

124from flag_gems.ops.logical_or import logical_or, logical_or_ 

125from flag_gems.ops.logical_xor import logical_xor 

126from flag_gems.ops.logspace import logspace 

127from flag_gems.ops.lt import lt, lt_scalar 

128from flag_gems.ops.masked_fill import masked_fill, masked_fill_ 

129from flag_gems.ops.masked_scatter import masked_scatter, masked_scatter_ 

130from flag_gems.ops.masked_select import masked_select 

131from flag_gems.ops.max import max, max_dim 

132from flag_gems.ops.max_pool2d_with_indices import ( 

133 max_pool2d_backward, 

134 max_pool2d_with_indices, 

135) 

136from flag_gems.ops.maximum import maximum 

137from flag_gems.ops.mean import mean, mean_dim 

138from flag_gems.ops.min import min, min_dim 

139from flag_gems.ops.minimum import minimum 

140from flag_gems.ops.mm import mm, mm_out 

141from flag_gems.ops.mse_loss import mse_loss 

142from flag_gems.ops.mul import mul, mul_ 

143from flag_gems.ops.multinomial import multinomial 

144from flag_gems.ops.mv import mv 

145from flag_gems.ops.nan_to_num import nan_to_num 

146from flag_gems.ops.ne import ne, ne_scalar 

147from flag_gems.ops.neg import neg, neg_ 

148from flag_gems.ops.nllloss import ( 

149 nll_loss2d_backward, 

150 nll_loss2d_forward, 

151 nll_loss_backward, 

152 nll_loss_forward, 

153) 

154from flag_gems.ops.nonzero import nonzero 

155from flag_gems.ops.normal import ( 

156 normal_, 

157 normal_float_tensor, 

158 normal_tensor_float, 

159 normal_tensor_tensor, 

160) 

161from flag_gems.ops.one_hot import one_hot 

162from flag_gems.ops.ones import ones 

163from flag_gems.ops.ones_like import ones_like 

164from flag_gems.ops.pad import constant_pad_nd, pad 

165from flag_gems.ops.per_token_group_quant_fp8 import ( 

166 SUPPORTED_FP8_DTYPE, 

167 per_token_group_quant_fp8, 

168) 

169from flag_gems.ops.polar import polar 

170from flag_gems.ops.pow import ( 

171 pow_scalar, 

172 pow_tensor_scalar, 

173 pow_tensor_scalar_, 

174 pow_tensor_tensor, 

175 pow_tensor_tensor_, 

176) 

177from flag_gems.ops.prod import prod, prod_dim 

178from flag_gems.ops.quantile import quantile 

179from flag_gems.ops.rand import rand 

180from flag_gems.ops.rand_like import rand_like 

181from flag_gems.ops.randn import randn 

182from flag_gems.ops.randn_like import randn_like 

183from flag_gems.ops.randperm import randperm 

184from flag_gems.ops.reciprocal import reciprocal, reciprocal_ 

185from flag_gems.ops.relu import relu, relu_ 

186from flag_gems.ops.repeat import repeat 

187from flag_gems.ops.repeat_interleave import ( 

188 repeat_interleave_self_int, 

189 repeat_interleave_self_tensor, 

190 repeat_interleave_tensor, 

191) 

192from flag_gems.ops.resolve_conj import resolve_conj 

193from flag_gems.ops.resolve_neg import resolve_neg 

194from flag_gems.ops.rms_norm import rms_norm, rms_norm_backward, rms_norm_forward 

195from flag_gems.ops.rsqrt import rsqrt, rsqrt_ 

196from flag_gems.ops.scaled_softmax import scaled_softmax_backward, scaled_softmax_forward 

197from flag_gems.ops.scatter import scatter, scatter_ 

198from flag_gems.ops.scatter_add_ import scatter_add_ 

199from flag_gems.ops.select_scatter import select_scatter 

200from flag_gems.ops.sigmoid import sigmoid, sigmoid_, sigmoid_backward 

201from flag_gems.ops.silu import silu, silu_, silu_backward 

202from flag_gems.ops.sin import sin, sin_ 

203from flag_gems.ops.slice_scatter import slice_scatter 

204from flag_gems.ops.softmax import softmax, softmax_backward 

205from flag_gems.ops.softplus import softplus 

206from flag_gems.ops.sort import sort, sort_stable 

207from flag_gems.ops.sqrt import sqrt, sqrt_ 

208from flag_gems.ops.stack import stack 

209from flag_gems.ops.std import std 

210from flag_gems.ops.sub import sub, sub_ 

211from flag_gems.ops.sum import sum, sum_dim, sum_dim_out, sum_out 

212from flag_gems.ops.tan import tan, tan_ 

213from flag_gems.ops.tanh import tanh, tanh_, tanh_backward 

214from flag_gems.ops.threshold import threshold, threshold_backward 

215from flag_gems.ops.tile import tile 

216from flag_gems.ops.to import to_copy 

217from flag_gems.ops.topk import topk 

218from flag_gems.ops.trace import trace 

219from flag_gems.ops.triu import triu, triu_ 

220from flag_gems.ops.unfold_backward import unfold_backward 

221from flag_gems.ops.uniform import uniform_ 

222from flag_gems.ops.unique import _unique2 

223from flag_gems.ops.upsample_bicubic2d_aa import _upsample_bicubic2d_aa 

224from flag_gems.ops.upsample_linear1d import upsample_linear1d 

225from flag_gems.ops.upsample_nearest1d import upsample_nearest1d 

226from flag_gems.ops.upsample_nearest2d import upsample_nearest2d 

227from flag_gems.ops.var_mean import var_mean 

228from flag_gems.ops.vdot import vdot 

229from flag_gems.ops.vector_norm import vector_norm 

230from flag_gems.ops.vstack import vstack 

231from flag_gems.ops.weightnorm import ( 

232 weight_norm_interface, 

233 weight_norm_interface_backward, 

234) 

235from flag_gems.ops.where import ( 

236 where_scalar_other, 

237 where_scalar_self, 

238 where_self, 

239 where_self_out, 

240) 

241from flag_gems.ops.zeros import zero_, zeros 

242from flag_gems.ops.zeros_like import zeros_like 

243 

244__all__ = [ 

245 "_conv_depthwise2d", 

246 "_unique2", 

247 "_upsample_bicubic2d_aa", 

248 "abs", 

249 "abs_", 

250 "acos", 

251 "add", 

252 "add_", 

253 "addcdiv", 

254 "addcmul", 

255 "addmm", 

256 "addmm_out", 

257 "addmv", 

258 "addmv_out", 

259 "addr", 

260 "all", 

261 "all_dim", 

262 "all_dims", 

263 "allclose", 

264 "amax", 

265 "angle", 

266 "any", 

267 "any_dim", 

268 "any_dims", 

269 "arange", 

270 "arange_start", 

271 "argmax", 

272 "argmin", 

273 "atan", 

274 "atan_", 

275 "avg_pool2d", 

276 "avg_pool2d_backward", 

277 "baddbmm", 

278 "batch_norm", 

279 "batch_norm_backward", 

280 "bitwise_and_scalar", 

281 "bitwise_and_scalar_", 

282 "bitwise_and_scalar_tensor", 

283 "bitwise_and_tensor", 

284 "bitwise_and_tensor_", 

285 "bitwise_left_shift", 

286 "bitwise_not", 

287 "bitwise_not_", 

288 "bitwise_or_scalar", 

289 "bitwise_or_scalar_", 

290 "bitwise_or_scalar_tensor", 

291 "bitwise_or_tensor", 

292 "bitwise_or_tensor_", 

293 "bitwise_right_shift", 

294 "bmm", 

295 "bmm_out", 

296 "cat", 

297 "ceil", 

298 "ceil_", 

299 "ceil_out", 

300 "celu", 

301 "celu_", 

302 "clamp", 

303 "clamp_", 

304 "clamp_min", 

305 "clamp_min_", 

306 "clamp_tensor", 

307 "clamp_tensor_", 

308 "constant_pad_nd", 

309 "contiguous", 

310 "conv1d", 

311 "conv2d", 

312 "conv3d", 

313 "copy", 

314 "copy_", 

315 "cos", 

316 "cos_", 

317 "count_nonzero", 

318 "cummax", 

319 "cummin", 

320 "cumsum", 

321 "cumsum_out", 

322 "diag", 

323 "diag_embed", 

324 "diagonal_backward", 

325 "div_mode", 

326 "div_mode_", 

327 "dot", 

328 "dropout", 

329 "dropout_backward", 

330 "elu", 

331 "elu_", 

332 "elu_backward", 

333 "embedding", 

334 "embedding_backward", 

335 "eq", 

336 "eq_scalar", 

337 "equal", 

338 "erf", 

339 "erf_", 

340 "exp", 

341 "exp_", 

342 "exp_out", 

343 "exp2", 

344 "exp2_", 

345 "exponential_", 

346 "eye", 

347 "eye_m", 

348 "fill_scalar", 

349 "fill_scalar_", 

350 "fill_tensor", 

351 "fill_tensor_", 

352 "flash_attention_forward", 

353 "flash_attn_varlen_func", 

354 "flip", 

355 "floor_divide", 

356 "floor_divide_", 

357 "full", 

358 "full_like", 

359 "gather", 

360 "gather_backward", 

361 "ge", 

362 "ge_scalar", 

363 "gelu", 

364 "gelu_", 

365 "gelu_backward", 

366 "get_scheduler_metadata", 

367 "glu", 

368 "glu_backward", 

369 "group_norm", 

370 "group_norm_backward", 

371 "gt", 

372 "gt_scalar", 

373 "hstack", 

374 "index", 

375 "index_add", 

376 "index_add_", 

377 "index_put", 

378 "index_put_", 

379 "index_select", 

380 "isclose", 

381 "isfinite", 

382 "isin", 

383 "isinf", 

384 "isnan", 

385 "kron", 

386 "layer_norm", 

387 "layer_norm_backward", 

388 "le", 

389 "le_scalar", 

390 "lerp_scalar", 

391 "lerp_scalar_", 

392 "lerp_tensor", 

393 "lerp_tensor_", 

394 "linspace", 

395 "log", 

396 "log_sigmoid", 

397 "log_softmax", 

398 "log_softmax_backward", 

399 "logical_and", 

400 "logical_and_", 

401 "logical_not", 

402 "logical_or", 

403 "logical_or_", 

404 "logical_xor", 

405 "logspace", 

406 "lt", 

407 "lt_scalar", 

408 "masked_fill", 

409 "masked_fill_", 

410 "masked_scatter", 

411 "masked_scatter_", 

412 "masked_select", 

413 "max", 

414 "max_dim", 

415 "max_pool2d_with_indices", 

416 "max_pool2d_backward", 

417 "maximum", 

418 "mean", 

419 "mean_dim", 

420 "min", 

421 "min_dim", 

422 "minimum", 

423 "mm", 

424 "mm_out", 

425 "mse_loss", 

426 "mul", 

427 "mul_", 

428 "multinomial", 

429 "mv", 

430 "nan_to_num", 

431 "ne", 

432 "ne_scalar", 

433 "neg", 

434 "neg_", 

435 "nll_loss_backward", 

436 "nll_loss_forward", 

437 "nll_loss2d_backward", 

438 "nll_loss2d_forward", 

439 "nonzero", 

440 "normal_float_tensor", 

441 "normal_tensor_float", 

442 "normal_tensor_tensor", 

443 "normal_", 

444 "normed_cumsum", 

445 "ones", 

446 "ones_like", 

447 "one_hot", 

448 "pad", 

449 "per_token_group_quant_fp8", 

450 "polar", 

451 "pow_scalar", 

452 "pow_tensor_scalar", 

453 "pow_tensor_scalar_", 

454 "pow_tensor_tensor", 

455 "pow_tensor_tensor_", 

456 "prod", 

457 "prod_dim", 

458 "quantile", 

459 "rand", 

460 "rand_like", 

461 "randn", 

462 "randn_like", 

463 "randperm", 

464 "reciprocal", 

465 "reciprocal_", 

466 "relu", 

467 "relu_", 

468 "remainder", 

469 "remainder_", 

470 "repeat", 

471 "repeat_interleave_self_int", 

472 "repeat_interleave_self_tensor", 

473 "repeat_interleave_tensor", 

474 "resolve_conj", 

475 "resolve_neg", 

476 "rms_norm", 

477 "rms_norm_backward", 

478 "rms_norm_forward", 

479 "rsqrt", 

480 "rsqrt_", 

481 "scaled_dot_product_attention", 

482 "scaled_dot_product_attention_backward", 

483 "scaled_dot_product_attention_forward", 

484 "scaled_softmax_backward", 

485 "scaled_softmax_forward", 

486 "scatter", 

487 "scatter_", 

488 "scatter_add_", 

489 "select_scatter", 

490 "sigmoid", 

491 "sigmoid_", 

492 "sigmoid_backward", 

493 "silu", 

494 "silu_", 

495 "silu_backward", 

496 "sin", 

497 "sin_", 

498 "slice_scatter", 

499 "softmax", 

500 "softmax_backward", 

501 "softplus", 

502 "sort", 

503 "sort_stable", 

504 "sqrt", 

505 "sqrt_", 

506 "stack", 

507 "std", 

508 "sub", 

509 "sub_", 

510 "sum", 

511 "sum_dim", 

512 "sum_dim_out", 

513 "sum_out", 

514 "ScaleDotProductAttention", 

515 "SUPPORTED_FP8_DTYPE", 

516 "tan", 

517 "tan_", 

518 "tanh", 

519 "tanh_", 

520 "tanh_backward", 

521 "threshold", 

522 "threshold_backward", 

523 "tile", 

524 "to_copy", 

525 "topk", 

526 "trace", 

527 "triu", 

528 "triu_", 

529 "true_divide", 

530 "true_divide_", 

531 "true_divide_out", 

532 "unfold_backward", 

533 "uniform_", 

534 "upsample_linear1d", 

535 "upsample_nearest1d", 

536 "upsample_nearest2d", 

537 "var_mean", 

538 "vdot", 

539 "vector_norm", 

540 "vstack", 

541 "weight_norm_interface", 

542 "weight_norm_interface_backward", 

543 "where_scalar_other", 

544 "where_scalar_self", 

545 "where_self", 

546 "where_self_out", 

547 "zeros", 

548 "zero_", 

549 "zeros_like", 

550]