Résumé
Foofu ligneer mooy wecci fowokaayu softmax quadratic ci Transformers ak benn kaf math buy eskale ligneer ak guddaayu toppalante bi. Performer ab pexem landmark la buy xayma softmax ci ay kernel yu bari ay anam yu bari, loolu mooy tax ñu mëna jënd ay sekans yu gudd lool ci wàllu ordinatër.
Lineer yiy bàyyi xel ci kernel yi ak Performer yi, dañuy tabax xarala yu am njeexital ci kalite model bi, njëgu infrastructure bi, latency bi, ak wóor gi ci escale bi.
Plongeur bu xóot
Transformateur standard dafay xayma poñ yi ci digganté ñaari jeton yu nekk, di njëg ak mémoire yuy màgg ak kaare guddaayig toppalante (O (n ^ 2)). Foofu ligneer dafay binndaat xayma bi suko defee njëg bi di màgg lineairement (O(n)). Xalaat bu am solo bi: softmax mooy softmax (QK ^ T) V, waaye soo wecci softmax ak kàrtu kernel phi, di nga am phi (Q) (phi (K) ^ T V). Ndax bariwaayu matrix dafay booloo, dangay njëkka xayma phi(K)^T V (matrix d-by-d bu ndaw), nga moytu matrix bu mag bi n-by-n. Performer, ci Google ci 2020, def lii ap jegewaale bu dëggu bu softmax dëgg di jëfandikoo FAVOR+ (Fàttaliku bu Gaaw Jaaraleko ci man-mani Orthogonal yu baax), di rëdd ay projection yu bari yuy tëye xayma yu kernel bi ba noppi nekk ci jàmm.
Gis-gis xarala
FAVOR+ Performer dafay xayma kernel softmax exp(q.k) ci jëfandikoo ay màndarga yu bari yu baax: dafay xayma laaj yi ak caabi yi jaaraleko ci ay projection Gaussian yu bari yuñ laxas ci exponentiel, loolu dafay garanti poid yu baaxul yi ak moytu instabilite numérique yu njëkk yi. Jëfandikoo màndarga yu bari yu ortogonal dafay wàññi variance. Li gëna am solo mooy matrix n-by-n musul am, moo tax mémoire bi dafay wàcci ci quadratic dem ci linear, loolu mooy tax ñu mëna toppalante ay fukki junni token.
Xam ligneer ak kernel performer
Foofu ligneer mooy wecci fowokaayu softmax quadratic ci Transformers ak benn kaf math buy eskale ligneer ak guddaayu toppalante bi. Performer ab pexem landmark la buy xayma softmax ci ay kernel yu bari ay anam yu bari, loolu mooy tax ñu mëna jënd ay sekans yu gudd lool ci wàllu ordinatër. Lineer yiy bàyyi xel ci kernel yi ak Performer yi, dañuy tabax xarala yu am njeexital ci kalite model bi, njëgu infrastructure bi, latency bi, ak wóor gi ci escale bi. Ngir tabax xam-xam bu xóot, jàppal Linear Attention ak Performer Kernels ni xeetu liggéey, du benn man-man: leeral njariñ yi nga bëgg, leeral xalaat yi, ba noppi tàqale li sistem bi mëna def ci anam wu wóor ak li ba leegi soxla àtteb kàngam.
Ci jëf, ekip yu am doole yiy jëfandikoo Linear Attention ak Kernels Performer dañuy gëna baaxal architecture, done, ak tànneefi infrastructure ci wàllu wóor ak njëg. Dañuy bind kritër yu leer ngir am ndam, natt leen ci done yu dëggu ak def liggéey, ba noppi ñu baamtu ci anamu ñàkka mëna seetlu, du ci benn yoon benchmark wins. Mooy barab bi xam-xam theorie bi di soppiku nekk kàttan buy yàgg ci produit yi, ci politik yi ak ci liggéey yi.
Dogal yi architecture di jël dañuy indi njariñ ak njëgu liggéey bi ay at ci ginaaw. Ci jamano jooju, Optimisation benn benchmark mën na nëbb ñakk kattan yu gëna yaatu ci sistem bi. Xeetu jëf bi gëna dëgër mooy boole gaawaayu jàngat ak disipline nguur: doxal pilote, jàpp firnde, siiwal dogal yi, ak wéy di yeesal kaaraange gi ci anam wi ñuy doxalee, li jëfandikukat bi di xaar, ak sàrti sàrt yi di jëm kanam.
njeextalu pexe
Dogal yi architecture di jël dañuy indi njariñ ak njëgu liggéey bi ay at ci ginaaw.
Dogal yi architecture di jël dañuy indi njariñ ak njëgu liggéey bi ay at ci ginaaw. Ci jëfandikoo yu am kalite bu kawe, loolu dañu koy tekki ci sàrti liggéey yuñ mëna natt, ay peggu boroom, ak ay xew-xewu xoolaat yu bari suko defee ekip yi mëna yokk wóolu seen bopp ci barabu yokk lu jaxasoo.
Njàngalem xarala yi dafay jàppale ekip yi ñu tànn li gën, te baña yam ci li gëna bees daal.
Njàngalem xarala yi dafay jàppale ekip yi ñu tànn li gën, te baña yam ci li gëna bees daal. Ci jëfandikoo yu am kalite bu kawe, loolu dañu koy tekki ci sàrti liggéey yuñ mëna natt, ay peggu boroom, ak ay xew-xewu xoolaat yu bari suko defee ekip yi mëna yokk wóolu seen bopp ci barabu yokk lu jaxasoo.
Tanneef yu gëna baax ci wàllu ingeñër dina wàññi jafe-jafe yi ci wàllu wóor ci liggéey bi.
Tanneef yu gëna baax ci wàllu ingeñër dina wàññi jafe-jafe yi ci wàllu wóor ci liggéey bi. Ci jëfandikoo yu am kalite bu kawe, loolu dañu koy tekki ci sàrti liggéey yuñ mëna natt, ay peggu boroom, ak ay xew-xewu xoolaat yu bari suko defee ekip yi mëna yokk wóolu seen bopp ci barabu yokk lu jaxasoo.
Doxal ci àdduna dëgg
Liggéeyukaay genomic wala protein yu gudd fu bàyyi xel bu mat sëkk di jeexal mémoire GPU
Résumé ci wàllu dokimaa ci kaw rapoor yu gudd lool te duñu xaaj, jëfandikoo yaxu ndigg bu nuroo ak Performer
Audio bu gudd te baax wala modeling time-series fu toppalante yi di dem ba fukki junni jéego
Wàññi njëgu inferensi ci xeetu waxtaan yu yàgg yi ci wecci yenn diisaayi softmax ak ay xeetu bàyyi xel ci ligneer
Modèlu jëfandikoo
Foofu lineer ak Kernels Performer ci jëf
Liggéeyukaay genomic wala protein yu gudd fu bàyyi xel bu mat sëkk di jeexal mémoire GPU bi.
Liggéeyukaay yu guddu genomic wala protein yu toppalante fu bàyyi xel ci quadratic bu mat sëkk di jeexal mémoire GPU Ekip yi dañuy faral di am njariñ yu gëna baax suñu joxee threshold yu baax ci kanam, tëye yoonu escalation nit ngir jafe-jafe yi, ba noppi topp njariñu produit ak njëgu njuumte ci diir bi.
Foofu lineer ak Kernels Performer ci jëf
Résumé ci niveau dokimaa ci kaw rapoor yu gudd lool te duñu xaaj, jëfandikoo yaxu ndigg bu nuroo ak Performer.
Document-niveau summary ci kaw rapoor yu gudd lool te duñu dagg, jëfandikoo backbone Performer-style Teams yi dañuy faral di am njariñ yu gëna baax suñu joxee ay threshold yu baax ci kanam, tëye yoonu escalation nit ngir jafe-jafe yi, ba noppi topp njariñu produit yi ak njëgu njuumte yi ci diir bi.
Foofu lineer ak Kernels Performer ci jëf
Formu audio bu gudd bu baax wala modelu série temps fu toppalante yi di dem ba fukki junni jéego.
Formu audio bu gudd bu am njariñ wala modeling time-series fu toppu-topp yi di jaar ay fukki junni jéego. Ekip yi dañuy faral di am njariñ yu gëna baax suñu joxee ay threshold yu baax ci kanam, tëye yoonu escalation nit ngir jafe-jafe yi, ba noppi topp njariñu produit yi ak njëgu njuumte yi ci diir bi.
Foofu lineer ak Kernels Performer ci jëf
Wàññi njëgu inference ci xeetu waxtaan yu guddu ci wecci yenn couche softmax ak ay variant attention ligneaire.
Wàññi njëgu inference ci xeetu waxtaan yu yàgg yi ci wecci yenn couche softmax ak variants linear-attention Teams yi dañuy faral di am njariñ yu gëna baax suñu joxee threshold yu baax ci kanam, tëye yoonu escalation nit ngir jafe-jafe yi, ba noppi topp njariñu produit ak njëgu njuumte ci diir bi.
Risk yi ak balustrade yi
Optimize benn benchmark mën na nëbb ñakk kattan yu gëna yaatu ci sistem bi.
Njëg li ñuy fay ci infrastructure yi ak ci toppatoo dañuy faral di suufeel.
Bu sistem yi di gëna xawa jafee xam, jafe-jafe yi am ci wàllu kaaraange ak seetlu mën nañu gëna bari.
Roadmap ngir samp gi
Mandargal latency, kalite, ak njëg yi laata ngay jëfandikoo.
Mandargal latency, kalite, ak njëg yi laata ngay jëfandikoo. Japp jéego bu nekk ni buntu firnde: sudee mattul kritër yi, noppalu génne gi, tëj bërëb bi, ba noppi yokk jëfandikoo gi.
Benchmark ci biir sargal ak done yu dëggu.
Benchmark ci biir sargal ak done yu dëggu. Japp jéego bu nekk ni buntu firnde: sudee mattul kritër yi, noppalu génne gi, tëj bërëb bi, ba noppi yokk jëfandikoo gi.
Jumtukaay bi di saytu njuumte yi, derive bi ak njeextalu jëfandikukat bi.
Jumtukaay bi di saytu njuumte yi, derive bi ak njeextalu jëfandikukat bi. Japp jéego bu nekk ni buntu firnde: sudee mattul kritër yi, noppalu génne gi, tëj bërëb bi, ba noppi yokk jëfandikoo gi.
Waajal rollback ak yooni tontu ci jafe-jafe yi laata ngay eskale.
Waajal rollback ak yooni tontu ci jafe-jafe yi laata ngay eskale. Japp jéego bu nekk ni buntu firnde: sudee mattul kritër yi, noppalu génne gi, tëj bërëb bi, ba noppi yokk jëfandikoo gi.