Dubawa
Cikakken Sharded Data Parallel (FSDP) dabara ce ta horarwa da aka rarraba wacce ke raba sigogin samfuri, gradients, da jihohin ingantawa a cikin GPUs da yawa don haka kowace na'ura tana riƙe da yanki kawai. Yana ba da damar horar da manyan samfura akan kayan masarufi waɗanda ba za su taɓa dacewa da duka ƙirar a cikin ƙwaƙwalwar GPU ɗaya ba.
Cikakken Sharded Data Daidaici shine tubalin ginin fasaha wanda ke shafar ingancin ƙira, tsadar ababen more rayuwa, jinkiri, da aminci a sikeli.
Zurfafa nutsewa
Daidaiton bayanan al'ada yana kiyaye cikakken kwafin samfurin akan kowane GPU, wanda ke ɓarna ƙwaƙwalwar ajiya kuma yana ɗaukar girman ƙirar. FSDP, wanda __AIU_PROTECTED_13_'s PyTorch ya shahara kuma aka yi wahayi daga Microsoft's ZeRO, a maimakon haka ya ruguza abubuwa uku a cikin na'urori: sigogi, gradients, da jihohin ingantawa. A lokacin wucewar gaba, kowane GPU yana tattara cikakken ma'auni na ɗan lokaci don layin da yake lissafta ta hanyar taron duka, yana gudanar da lissafin, sannan nan da nan ya fitar da kwafin da aka tattara. Fassara ta baya tana aiki iri ɗaya, sannan mai rage-watsawa wanda ke rarraba yankan gradient zuwa ga GPUs nasu. Saboda kowace na'ura kawai tana adana ɗan juzu'in ƙirar ne ta dindindin, amfani da ƙwaƙwalwar ajiya yana faɗuwa daidai da adadin GPUs, yana barin ƙungiyoyi su horar da ƙira tare da dubun ko ɗaruruwan biliyoyin sigogi.
Fahimtar Fasaha
FSDP yana cinikin ƙarin sadarwa don ajiyar ƙwaƙwalwar ajiya. Ana sake gina ma'aunin kowane Layer bisa buƙatu tare da tattara gabaɗaya kai tsaye kafin amfani kuma a watsar da su nan da nan, yayin da ake haɗa gradients kuma a raba tare da rage-watse. Ana iya haɗa sadarwa tare da ƙididdigewa ta hanyar ƙaddamar da sigogin Layer na gaba yayin da Layer na yanzu ke gudana, yana ɓoye yawancin jinkirin hanyar sadarwa. Daidaita girman girman sharding (manufofin nannade) yana daidaita sawun ƙwaƙwalwar ajiya da kan sadarwa.
Kwarewar Cikakkiyar Shared Data Daidaici
Cikakken Sharded Data Parallel (FSDP) dabara ce ta horarwa da aka rarraba wacce ke raba sigogin samfuri, gradients, da jihohin ingantawa a cikin GPUs da yawa don haka kowace na'ura tana riƙe da yanki kawai. Yana ba da damar horar da manyan samfura akan kayan masarufi waɗanda ba za su taɓa dacewa da duka ƙirar a cikin ƙwaƙwalwar GPU ɗaya ba. Cikakken Sharded Data Daidaici shine tubalin ginin fasaha wanda ke shafar ingancin ƙira, tsadar ababen more rayuwa, jinkiri, da aminci a sikeli. Don gina zurfin fahimta, bi da Daidaitaccen Bayanin Sharded a matsayin samfurin aiki, ba fasali ɗaya ba: ayyana sakamakon da ake so, fayyace zato, da raba abin da tsarin zai iya yi da dogaro daga abin da har yanzu ke buƙatar yanke hukunci na ƙwararru.
A aikace, ƙungiyoyi masu ƙarfi da ke amfani da Cikakken Sharded Data Parallel suna haɓaka gine-gine, bayanai, da zaɓin abubuwan more rayuwa tare da dogaro da farashi. Suna rubuta ƙayyadaddun ƙa'idodin nasara, gwaji akan bayanan gaskiya da gudanawar aiki, da jujjuyawar bisa ga tsarin gazawar da aka lura maimakon cin nasara na lokaci ɗaya. Wannan shine inda fahimtar ka'idar ta juya zuwa iyawa mai dorewa a cikin samfura, manufofi, da ayyuka.
Hukunce-hukuncen gine-gine suna haifar da aiki da tsadar aiki na shekaru. A lokaci guda, Haɓaka ma'auni ɗaya na iya ɓoye manyan raunin tsarin. Hanyar da ta fi dacewa ita ce haɗa saurin gwaji tare da horon gudanarwa: gudanar da matukin jirgi, kama shaida, buga rajistan ayyukan yanke shawara, da ci gaba da sabunta abubuwan tsaro kamar yadda halayen ƙira, tsammanin mai amfani, da buƙatun tsari ke tasowa.
Dabarun Tasiri
Hukunce-hukuncen gine-gine suna haifar da aiki da tsadar aiki na shekaru.
Hukunce-hukuncen gine-gine suna haifar da aiki da tsadar aiki na shekaru. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.
Ilimin fasaha yana taimaka wa ƙungiyoyi su zaɓi tari mai kyau, ba kawai sabon abu ba.
Ilimin fasaha yana taimaka wa ƙungiyoyi su zaɓi tari mai kyau, ba kawai sabon abu ba. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.
Zaɓuɓɓukan injiniya mafi kyau suna rage abin dogaro a cikin samarwa.
Zaɓuɓɓukan injiniya mafi kyau suna rage abin dogaro a cikin samarwa. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.
Aiwatar da Gaskiyar Duniya
Kyakkyawan daidaita samfurin Llama-biliyan 70 a cikin GPUs 8 waɗanda daban-daban ba zai iya ɗaukar cikakken ma'auni ba.
Horar da manyan samfuran harshe a ɗakunan gwaje-gwaje na AI ta hanyar rarraba jihohin ingantawa (waɗanda ke mamaye ƙwaƙwalwar ajiya tare da Adam) a cikin ɗaruruwan masu haɓakawa.
Masu bincike suna amfani da PyTorch's FSDP wrapper don horar da masu canji na hangen nesa akan rukunin jami'a ba tare da siyan flagship 80GB GPUs ba.
Haɗa FSDP tare da gauraye-daidai bfloat16 zuwa kusan rabin ƙwaƙwalwar ajiya da haɓaka aikin horarwa akan samfuran multimodal.
Hanyoyin Aiwatarwa
Daidaita Daidaitaccen Bayanan Bayanai a aikace
Kyakkyawan daidaita samfurin Llama-biliyan 70 a cikin GPUs 8 waɗanda daban-daban ba zai iya ɗaukar cikakken ma'auni ba.
Kyakkyawan daidaita samfurin Llama na biliyan 70-biliyan a cikin 8 GPUs waɗanda daban-daban ba za su iya ɗaukar cikakken ma'auni Ƙungiyoyi yawanci suna samun kyakkyawan sakamako lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don shari'o'in gefe, da bin duk nasarorin samarwa da ƙimar kuskure akan lokaci.
Daidaita Daidaitaccen Bayanan Bayanai a aikace
Horar da manyan samfuran harshe a ɗakunan gwaje-gwaje na AI ta hanyar rarraba jihohin ingantawa (waɗanda ke mamaye ƙwaƙwalwar ajiya tare da Adam) a cikin ɗaruruwan masu haɓakawa.
Horar da manyan samfuran harshe a labs na AI ta hanyar raba jihohin ingantawa (waɗanda ke mamaye ƙwaƙwalwar ajiya tare da Adam) a cikin ɗaruruwan masu haɓaka ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don ƙararraki, da bin diddigin abubuwan samarwa da ƙimar kuskure akan lokaci.
Daidaita Daidaitaccen Bayanan Bayanai a aikace
Masu bincike suna amfani da PyTorch's FSDP wrapper don horar da masu canji na hangen nesa akan rukunin jami'a ba tare da siyan flagship 80GB GPUs ba.
Masu bincike da ke amfani da PyTorch's FSDP wrapper don horar da masu canjin hangen nesa a kan tarin jami'a ba tare da siyan flagship 80GB GPUs Teams yawanci samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don shari'o'in gefe, da bin diddigin nasarorin samarwa da ƙimar kuskure akan lokaci.
Daidaita Daidaitaccen Bayanan Bayanai a aikace
Haɗa FSDP tare da gauraye-daidai bfloat16 zuwa kusan rabin ƙwaƙwalwar ajiya da haɓaka aikin horarwa akan samfuran multimodal.
Haɗa FSDP tare da gauraye-daidaicin bfloat16 zuwa kusan rabin ƙwaƙwalwar ajiya da haɓaka kayan aikin horo akan samfuran multimodal Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don shari'o'in gefe, da bin diddigin nasarorin samarwa da ƙimar kuskure akan lokaci.
Hatsari & Tsare-tsare
Haɓaka ma'auni ɗaya na iya ɓoye manyan raunin tsarin.
Sau da yawa ana raina kayan more rayuwa da kuma kuɗin kulawa.
Tsaro da gibin lura na iya girma yayin da tsarin ke ƙara haɓaka.
Taswirar Hanya
Ƙayyade latency, inganci, da maƙasudin farashi kafin aiwatarwa.
Ƙayyade latency, inganci, da maƙasudin farashi kafin aiwatarwa. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.
Alamar ma'auni a ƙarƙashin ainihin kaya da yanayin bayanai.
Alamar ma'auni a ƙarƙashin ainihin kaya da yanayin bayanai. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.
Kula da kayan aiki don kurakurai, ɗigo, da tasirin mai amfani.
Kula da kayan aiki don kurakurai, ɗigo, da tasirin mai amfani. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.
Shirya bijirowa da hanyoyin mayar da martani kafin sikeli.
Shirya bijirowa da hanyoyin mayar da martani kafin sikeli. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.