History

Kuohais 25ecf13fb2 Merge pull request 'feat add a selu_clip1 #4' (#196 ) from zizi05/GPUCodeForces:selu_clip1 into main		2025-11-27 15:41:50 +08:00
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Example	…
Ljy123_#1	…
Ljy123_#3	…
Ljy123_#6	…
Ljy123_#7	finish swish	2025-11-18 21:00:38 +08:00
Ljy123_#8	finish rmsnorm	2025-11-18 21:02:51 +08:00
Lwh20070813_#1	optimized PearsonCorraletion #1	2025-11-23 14:06:09 +08:00
Lwh20070813_#2	optimized LogCoshLoss #2	2025-11-23 14:07:37 +08:00
ZZZJ_#1	…
gsd123_#1	…
gsd123_#2	…
gsd123_#3	…
gsd123_#4	…
gsd123_#5	…
gsd123_#6	…
gsd123_#7	…
gsd123_#8	…
gsd123_#9	…
gsd123_#10	…
gsd123_#11	…
gsd123_#12	…
gsd123_#13	…
gsd123_#14	…
gsd123_#15	…
gsd123_#16	…
gsd123_#17	finish DiceLoss #17	2025-11-18 16:51:32 +08:00
gsd123_#18	finish FocalLoss #18	2025-11-18 16:52:46 +08:00
gsd123_#19	finish Generator #19	2025-11-18 16:54:17 +08:00
gsd123_#20	finish WelschLoss #20	2025-11-18 16:55:28 +08:00
gsd123_#21	finish CharbonnierLoss #21	2025-11-25 19:47:41 +08:00
gsd123_#22	finish contrastiveloss #22	2025-11-25 19:49:13 +08:00
gsd123_#23	finish huberloss #23	2025-11-25 19:50:22 +08:00
gsd123_#24	finish kldivloss #24	2025-11-25 19:51:35 +08:00
gsd123_#25	finish softmax2d #24	2025-11-25 19:52:36 +08:00
gsd123_#26	finish CanberraDistance #26	2025-11-25 20:09:17 +08:00
gsd123_#27	finish SorensenDice #27	2025-11-25 20:25:33 +08:00
gsd123_#28	finish clarksDistance #28	2025-11-25 21:02:00 +08:00
gsd123_#29	finish chebyshevDistance #29	2025-11-25 21:04:02 +08:00
gsd123_#30	finish mahalanobisDistance #30	2025-11-25 21:06:02 +08:00
hli28146_#1	…
hli28146_#2	…
hli28146_#3	…
hli28146_#4	…
hli28146_#5	…
hli28146_#6	finish lppool1d #6	2025-11-18 10:35:21 +08:00
hli28146_#7	…
hli28146_#8	…
hli28146_#9	…
hli28146_#10	…
hli28146_#11	finish cumsum #11	2025-11-25 16:20:09 +08:00
hli28146_#12	finish gempool #12	2025-11-26 00:03:49 +08:00
hli28146_#13	finish giouloss #13	2025-11-26 00:34:03 +08:00
hli28146_#14	finish wingloss #14	2025-11-26 16:53:48 +08:00
hli28146_#15	finish poly-1 crossentropy loss #15	2025-11-26 18:46:10 +08:00
hli28146_#16	finish poly-1 focalloss #16	2025-11-26 19:50:54 +08:00
hli28146_#17	finish bprloss #17	2025-11-26 19:26:05 +08:00
hli28146_#18	finish logish #18	2025-11-27 00:00:53 +08:00
hli28146_#19	finish LiSHT #19	2025-11-27 00:11:37 +08:00
hli28146_#20	finish tanhexp #20	2025-11-27 00:19:19 +08:00
uucoco_#1	…
uucoco_#2	…
uucoco_#3	…
uucoco_#4	…
uucoco_#5	…
uucoco_#6	…
uucoco_#7	…
uucoco_#8	…
uucoco_#9	…
uucoco_#10	finish CharbonnierLoss #10	2025-11-18 21:54:57 +08:00
uucoco_#11	finish IntraClassCorrelation #11	2025-11-18 21:56:49 +08:00
uucoco_#12	finish CoVariance #12	2025-11-18 22:00:30 +08:00
uucoco_#13	finish Variance #13	2025-11-18 22:01:36 +08:00
uucoco_#14	finish softmin #14	2025-11-23 19:50:59 +08:00
uucoco_#15	finish softplus #15	2025-11-23 19:52:17 +08:00
uucoco_#16	finish softshrink #16	2025-11-23 19:53:30 +08:00
uucoco_#17	finish IOULoss#17	2025-11-23 20:44:51 +08:00
uucoco_#18	finish softsign #18	2025-11-23 20:58:11 +08:00
wut0n_#1	feat: Add high-performance LayerNorm operator with vectorized Welford algorithm #1	2025-11-19 21:21:51 +08:00
wut0n_#2	feat:add focal loss optimization	2025-11-20 18:35:27 +08:00
wut0n_#3	feat:Rmsnorm #3	2025-11-20 21:12:55 +08:00
wut0n_#4	feat:Instancenorm #4	2025-11-20 21:15:22 +08:00
wut0n_#5	feat: add high-performance GroupNorm CUDA implementation	2025-11-21 00:50:30 +08:00
wut0n_#7	feat:add high performance tripletloss #7	2025-11-23 16:19:02 +08:00
wut0n_#8	feat:add high performance Bceloss #8	2025-11-22 16:38:47 +08:00
wut0n_#11	feat:add high performance contrastiveloss #11	2025-11-23 14:02:40 +08:00
wut0n_#12	feat:add high performance #12	2025-11-23 16:21:47 +08:00
wut0n_#13	feat:add high performance hingeloss #13	2025-11-23 16:23:34 +08:00
wut0n_#14	fixs:repair performance euclidean #14	2025-11-25 15:41:36 +08:00
wut0n_#15	feat:add high performance cosinedistance #15	2025-11-23 16:27:11 +08:00
wut0n_#16	feat:add high performance Chebyshev distance #16	2025-11-23 23:29:18 +08:00
wut0n_#17	feat:add high performance Manhattan distance #17	2025-11-23 23:31:47 +08:00
wut0n_#18	feat:add high performance Minkowski distance #18	2025-11-23 23:33:23 +08:00
wut0n_#20	feat:add good performance Hamming #20	2025-11-25 14:02:11 +08:00
wut0n_#22	feat:add good performance Braycurtis #22	2025-11-25 17:11:19 +08:00
wut0n_#23	feat:add high performance squared_euclidean #23	2025-11-25 17:13:35 +08:00
wut0n_#24	feat:add high performance cosine #24	2025-11-25 17:15:34 +08:00
wut0n_#25	feat:add high performance weighted_sum #25	2025-11-25 17:17:36 +08:00
wut0n_#26	feat:add good variance #26	2025-11-25 17:19:36 +08:00
wwmm_#1	…
wwmm_#2	…
wwmm_#3	…
zizi05_#4	feat:add a selu_clip #4	2025-11-22 15:50:40 +08:00
zizi05_#6	feat:add a bilinear #6	2025-11-23 16:14:27 +08:00
zizi05_#7	feat:add a swishgelu#7	2025-11-26 10:20:24 +08:00
zizi05_#8	feat:add a hardmish #8	2025-11-25 15:58:07 +08:00
zizi05_#9	feat:add a tanhshrink #9	2025-11-25 16:17:37 +08:00
zizi05_10	finish add a swish_layernorm #10	2025-11-25 16:51:57 +08:00
zizi_05#5	feat:add a localresponsenormalizetion_simple #5	2025-11-23 14:56:12 +08:00
README.md	…

README.md

提交前的注意事项

确保已经阅读了赛题入门、代码解读的内容
你的提交包含类似于S1/Example下的四份完整文件
选手提交时的run_code.py应于S1/Example/run_code.py中的保持一致