Raacid-barar
Ururinta gradient waxay kuu ogolaanaysaa inaad ku ekaato cabbir weyn oo xusuusta GPU xaddidan adoo soo koobaya gradients dhowr dufcad yar yar ka hor inta aanad cusboonaysiin miisaanka.
Dulmar
It is the standard workaround for training big models when memory is the bottleneck.
quusid qoto dheer
Caadi ahaan tillaabada tababarku waxay habaysaa hal dufcadood, waxay xisaabisaa jaangooyooyinka, oo isla markiiba waxay cusboonaysiisaa cabbirada. Isku-darka gradient, waxaad ku ordeysaa dhowr baas oo hore iyo dib u socod ah oo ku socda dufcooyin yar yar, adigoo ku daraya jaangooyooyinkooda isku xirayaasha cabbirka, oo kaliya wac tillaabada hagaajinta (iyo eber gradients) ka dib N-dufcadaha yar yar. Cabbirka dufcada waxtarka leh waxay noqotaa waqtiyada cabbirka dufcada-yar, in kasta oo xusuusta ugu sarreysa ay weligeed hayso hal dufcad-yar oo firfircooni ah. Tani waxay khusaysaa sababtoo ah cuntooyin badan oo tababaro ah waxay u qaataan dufcadyo waaweyn oo loogu talagalay tirakoobyada deggan, iyo sababtoo ah moodooyinka sida transformers weyni kuma haboonaan karaan dufcada bartilmaameedka buuxa ee hal qalab. Qabashada: Tirakoobka Dufcaddii-caadaynta waxa lagu xisaabiyaa dufcaddii-yar-yar, sidaa daraadeed lakabka caadiga ah ama kooxda caadiga ah ayaa si fiican ugu lammaan ururinta, waana inaad si sax ah u cabbirtaa khasaaraha si aad u ilaaliso heerka waxbarasho ee waxtarka leh.
Aragtida Farsamada
Sababtoo ah jaangooyooyinka khasaaraha la soo koobay waa wax lagu daro, ururinta gradients ee ka badan N dufcadaha yaryar waxay xisaab ahaan u dhigantaa hal dufcadood oo weyn, waa haddii aad celcelis ahaan si sax ah u leedahay. Hirgelintu waxay caadi ahaan u qaybisaa khasaaraha dufcaddii-yar ee kasta N ka hor dib-u-dhac, markaa jaan-goynta la ururiyay waxay la mid tahay celceliska dufcadda waxtarka leh. Waxaad ka boodaa optimizer.step() iyo zero_grad() ilaa Nth-yar-yar, ka ganacsata waqti xisaabin dheeri ah si loo yareeyo xusuusta ugu sarreysa.
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 Isku-ururinta Gradient
Isku-ururinta gradient-ku waxa ay ahaan doontaa kabaalka caadiga ah maadaama cabbirada moodelku ay ka dheereeyaan xusuusta hal qalab. Waxay si sii kordheysa isugu darsataa saxnaanta isku dhafan, isbaarada hawlgelinta, jeexjeexa ZeRO, iyo isbarbardhigga dhuumaha ee qaababka sida DeepSpeed iyo FSDP. Filo otomaatig adag oo ay maktabaduhu si toos ah u habeeyaan tillaabooyinka ururinta miisaaniyada xusuusta, iyo muhimadda sii socota ee hagaajinta moodooyinka waaweyn ee qalabka fudud, oo ay ku jiraan GPU-yada macaamiisha halkaas oo ay ka furto tababarka haddii kale aan macquul ahayn.
Dhaqangelinta Adduunka-dhabta ah
Hagaajinta qaabka luqadda weyn ee hal macaamiil GPU iyadoo la uruurinayo in ka badan 8 ama 16 dufcad yar yar si loo gaaro dufcad waxtar leh oo boqolaal ah.
Tababarka aragga xallinta sare ama moodooyinka kala qaybinta halkaasoo xitaa qayb 2 ah ay ku habboon tahay, laakiin cunto karintu waxay u baahan tahay dufcad waxtar leh oo 32 ah.
Isku-duubista Tababaraha Wajiga iyo Hillaaca PyTorch waxay daaha ka qaadaysaa jaangooyooyinka gradient_accumulation_steps loo isticmaalo habaynta VRAM-ka kooban.
Dib u soo saarida natiijada dufcada weyn ee warqada qalabka yar iyadoo la waafajinayo xajmiga dufcada waxtarka leh iyada oo la adeegsanayo ururinta.
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
Burburinta iyo Qarxinta Gradients
Su'aalaha soo noqnoqda
What is Gradient Accumulation?
Ururinta gradient waxay kuu ogolaanaysaa inaad ku ekaato cabbir weyn oo xusuusta GPU xaddidan adoo soo koobaya gradients dhowr dufcad yar yar ka hor inta aanad cusboonaysiin miisaanka. Waa habka caadiga ah ee lagu tababaro moodooyinka waaweyn marka xasuustu tahay cirifka.
Muxuu ururinta gradient ugu horrayn kuu ogolaanayaa inaad samayso?
Adoo soo koobaya gradients dhowr dufcadood oo yar yar ka hor inta aan la cusboonaysiin, waxaad moodaysaa dufcad weyn adigoon ku wada hayn xusuusta hal mar.
Inta lagu jiro ururinta, goormaad wacdaa tillaabada optimizer-ka oo aad eber u wacdo gradients?
Waxa aad ku urursanaysaa qaybo yaryar oo N dufcadaha yaryar oo aad cusboonaysiiso hal mar oo kaliya dhamaadka wareegga.
Waa kuwee lakabka caadiga ah ee si nadiif ah ugu lammaaniya ururinta gradient?
Dufcaddii-caadiga ahayd waxay xisaabisaa tirakoobyada dufcaddii-yar-yar, marka lakabka ama kooxda caadiga ah waxay ka fogaataa is-waafajinta dufcadaha yaryar.