Isbaarada hoose
Isbaarada gradient (sidoo kale loo yaqaan 'activation checkpointing)' waa khiyaamo kaydinta xusuusta taasoo meesha ka saaraysa hawlqabadyada dhex dhexaadinta inta lagu jiro baaska hore oo dib u xisaabiya duullimaadyada inta lagu jiro faafinta.
Dulmar
It lets you train deeper, larger networks by trading extra compute for much lower memory use.
quusid qoto dheer
Tababarka shabakadaha neerfayaasha ayaa sida caadiga ah u kaydiya dhaqdhaqaaqyada lakab kasta inta lagu jiro gudbinta hore sababtoo ah faafinta waxay u baahan tahay inay xisaabiyaan gradients. Moodooyinka qoto dheer ee firfircoonidaani waxay xukumaan xusuusta. Isbaarada si tartiib tartiib ah waxay u badbaadisaa firfircoonida kaliya ee lakabyo 'koontarool' oo yar oo tuura inta soo hartay. Marka backprop uu gaaro gobol hawlihiisa la tuuray, waxay dib u socodsiisaa xisaabinta hore ee qaybtaas si ay dib ugu soo cusboonaysiiso waxay u baahan tahay, ka dibna way sii socotaa. Isbaarooyinka la dhigo qiyaas ahaan lakab kasta oo labajibbaaran-of-N ah, xusuusta hawlgelintu waxay hoos uga dhacdaa nidaamka N si ay u dalbato xidid-jibbaaran-N, halka xisaabtu kor u kacdo kaliya hal baas hore oo dheeraad ah (qiyaastii 20-30% gaabis ah). Tani waxay suurtogal ka dhigaysaa in lagu rakibo cabbirrada dufcadaha waaweyn ama transformers qoto dheer isla GPU isku mid ah.
Aragtida Farsamada
Farsamadani waxay ka faa'iidaysanaysaa wakhtiga iyo xusuusta. Kaydinta dhammaan hawlqabadyadu waa dhakhso laakiin xusuusta-gaajaysan; dib u xisaabinta iyaga waa raqiis ah xawaaraha casriga ah marka loo eego qarashka ka dhamaanaya xusuusta. Qaab dhismeedka sida PyTorch (torch.utils.checkpoint) waxay duubaan module si wax soo saarkiisa hore loo badbaadiyo laakiin gudaha ayaa dib loo xisaabiyaa inta lagu jiro gadaal. Doorashada meelaynta isbaarada waa arin: xataa kala dheeraynta qiyaastii sqrt(N) qaybaha waxay yaraynaysaa wadarta xusuusta halka ay ku darayso kaliya hal baas hore oo dheeri ah oo xisaabinta guud ahaan.
Saamaynta Istiraatijiyadeed
Qiimaha iyo miisaaniyada
Go'aamada qaab-dhismeedku waxay horseedaan waxqabadka iyo kharashka hawlgalka sannadaha.
Go'aamo cad
Waxbarashada farsamada waxay ka caawisaa kooxaha inay doortaan xidhmo sax ah, ma aha oo kaliya kan ugu cusub.
Xakamaynta tayada
Doorashooyinka injineernimada ee wanaagsan waxay yareeyaan shilalka la isku halleyn karo ee wax soo saarka.
Mustaqbalka Isbaarada Gradient
Isbaarada si tartiib-tartiib ah ayaa hadda ah mid heerkeedu yahay tababarka qaab-weyn oo si isa soo taraya si otomaatig ah u socda, iyada oo maktabaduhu kuu dooranayaan goobaha isbaarada ee ugu habboon. Waxay si dabiici ah ula lammaanaysaa FSDP, saxnaanta isku dhafan, iyo rarida si ay u riixdo cabbirrada moodeelka sare. Filo isbaarada 'doorashada' ee xisaabinaysa kaliya hawlgallada raqiis ah iyadoo la ilaalinayo kuwa qaaliga ah (sida fiiro gaar ah) oo kaydsan, oo lagu daray habab isku-dubarideed oo qalabaysan sida PyTorch's torch.compile kaas oo si toos ah u go'aaminaya waxa la badbaadinayo iyo xisaabinta dheelitirka-xawaaraha ugu fiican.
Dhaqangelinta Adduunka-dhabta ah
Tababarka transformer qoto dheer oo leh cabbir weyn oo hal GPU ah adiga oo tuuraya oo dib u xisaabinaya firfircoonida lakabka.
Qaababka aragga hagaajinta ee sawirrada qaraarka sare leh halkaasoo khariidadaha hawlgelintu haddii kale buux dhaafin xusuusta GPU-da.
Isku-dubbaridda Wejiga beddelayaasha oo awood u siinaya gradient_checkpointing=Run inay ku habboon yihiin moodooyinka bilyan-beegyada inta lagu jiro hagaajinta wanaagsan.
Isku darka isbaarada iyo FSDP si labada cabbir iyo hawlqabadyaduba ay yareeyaan, taas oo awood u siinaysa tababbarka qaababka luqadeed ee aadka u ballaaran.
Khatarta & Dariiqyada Ilaalada
Hagaajinta hal bartilmaameed waxay qarin kartaa daciifnimada nidaamka ballaaran.
Kaabayaasha dhaqaalaha iyo dayactirka inta badan waa la dhayalsadaa.
Nabadgelyada iyo daldaloolada u fiirsashada ayaa kori kara marka nidaamyadu noqdaan kuwo aad u adag.
Qorshe Hawleedka Dhaqangelinta
Qeex daahida, tayada, iyo bartilmaameedyada qiimaha ka hor inta aan la hirgelin.
Benchmark marka la eego culeyska dhabta ah iyo xaaladaha xogta.
La socodka qalabka khaladaadka, leexashada, iyo saamaynta isticmaalaha.
U diyaari dib-u-noqoshada iyo dariiqyada jawaab-celinta dhacdada ka hor inta aanad miisaan.
Sii wad Sahaminta
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Hagaha xiga
Raacid-barar
Su'aalaha soo noqnoqda
What is Gradient Checkpointing?
Isbaarada gradient (sidoo kale loo yaqaan 'activation checkpointing)' waa khiyaamo kaydinta xusuusta taasoo meesha ka saaraysa hawlqabadyada dhex dhexaadinta inta lagu jiro baaska hore oo dib u xisaabiya duullimaadyada inta lagu jiro faafinta. Waxay kuu ogolaanaysaa inaad si qoto dheer u tababarto, shabakado waaweyn adiga oo ka ganacsanaya xisaabin dheeri ah isticmaalka xusuusta hoose.
Waa maxay isbaarada gradient ugu horrayn ka ganacsata si loo badbaadiyo xusuusta?
Isbaarada tartiib-tartiib ah waxay u xisaabisaa hawlihii la tuuray intii lagu jiray kaarka dambe, iyadoo ku bixinaysa xisaabin dheeraad ah oo lagu beddelayo xusuusta si weyn loo dhimay.
Waa maxay sababta firfircooniyaasha sida caadiga ah loo kaydiyo inta lagu jiro kaarka hore?
Backprop wuxuu xisaabiyaa gradients iyadoo la isticmaalayo firfircoonida dhexdhexaadka ah ee ka gudbida gudbinta, markaa waa inay diyaar noqdaan ilaa aan dib loo xisaabin.
Qiyaastii sidee buu u kiciyaa miisaanka xusuusta firfircoonida haddii isbaarada la dhigo lakab kasta oo sqrt(N) ah ee shabakada N-lakabka?
Isbaarada kala dheeraynta ee ku saabsan lakab kasta oo labajibbaaran-root-of-N ah waxay yaraynaysaa kaydinta xusuusta firfircoonida ee N ilaa dalbashada sqrt(N).
Qiyaastii intee in le'eg xisaabaadka dheeraadka ah ayaa si fiican u meeleeyay isbaaraynta gradient caadi ahaan ku dara?
Marka la eego meelaynta isbaarada oo wanaagsan, dusha sare waa qiyaastii hal baas hore oo dheeri ah, inta badana ku dhawaad 20-30% hoos u dhac.
Gudaha PyTorch, waa kuwee utility inta badan loo isticmaalo in lagu dabaqo isbaarada gradient module ah?
torch.utils.checkpoint waxay duubtaa cutub si hawlqabadkiisa guduhu dib loo xisaabiyo inta lagu jiro kaydinta.