Uhlolojikelele
I-Fully Sharded Data Parallel (FSDP) iyindlela yokuqeqesha esabalalisiwe ehlukanisa amapharamitha emodeli, ama-gradient, nezimo ze-optimizer kuwo wonke ama-GPU amaningi ukuze idivayisi ngayinye ibambe ucezu kuphela. Kwenza ukuqeqeshwa kwamamodeli amakhulu kwenzeke ku-hardware engasoze yalingana yonke imodeli kumemori ye-GPU eyodwa.
I-Fully Sharded Data Parallel iyibhulokhi yokwakha yobuchwepheshe ethinta ikhwalithi yamamodeli, izindleko zengqalasizinda, ukubambezeleka, nokuthembeka esikalini.
I-Deep Dive
Ukufana kwedatha evamile kugcina ikhophi egcwele yemodeli kuwo wonke ama-GPU, okumosha inkumbulo nosayizi wemodeli ye-caps. I-FSDP, edume nge-Meta's PyTorch futhi igqugquzelwe yi-Microsoft's ZeRO, esikhundleni salokho ihlukanisa izinto ezintathu kumadivayisi wonkana: amapharamitha, ama-gradient, nezimo ze-optimizer. Ngesikhathi sokudlula phambili, i-GPU ngayinye iqoqa izisindo ezigcwele okwesikhashana yesendlalelo esihlanganisayo nge-All-Gather, iqalise ukubala, bese ikhulula ikhophi eqoqiwe ngokushesha. Iphasi elibuyela emuva lisebenza ngendlela efanayo, lilandelwa i-reduce-scatter esabalalisa izingcezu ze-gradient emuva kubanikazi bawo be-GPU. Ngenxa yokuthi idivayisi ngayinye igcina unaphakade ingxenye yemodeli, ukusetshenziswa kwenkumbulo kwehla ngokulingana nenani lama-GPU, okuvumela amaqembu aqeqeshe amamodeli anamashumi noma amakhulu ezigidigidi zamapharamitha.
I-Technical Insight
I-FSDP ihweba ngokuxhumana okwengeziwe ukuze kugcinwe inkumbulo. Izisindo zesendlalelo ngasinye zakhiwa kabusha ngokufunwa ngokuqoqa konke ngaphambi kokusetshenziswa futhi zilahlwe ngemva nje kwalokho, kuyilapho ama-gradient ahlanganiswa futhi ahlukaniswa ngokunciphisa-scatter. Ukuxhumana kungagqitshwa nokubambezeleka ngokulanda kuqala amapharamitha wesendlalelo esilandelayo ngenkathi isendlalelo samanje sisebenza, sifihla ukubambezeleka okuningi kwenethiwekhi. Ukushuna ubumbudumbudu be-sharding (inqubomgomo yokugoqa) kulinganisa unyawo lwenkumbulo ngokumelene nokuxhumana okungaphezulu.
Ukuqonda Ukuhambisana Kwedatha Ehlukaniswe Ngokugcwele
I-Fully Sharded Data Parallel (FSDP) iyindlela yokuqeqesha esabalalisiwe ehlukanisa amapharamitha emodeli, ama-gradient, nezimo ze-optimizer kuwo wonke ama-GPU amaningi ukuze idivayisi ngayinye ibambe ucezu kuphela. Kwenza ukuqeqeshwa kwamamodeli amakhulu kwenzeke ku-hardware engasoze yalingana yonke imodeli kumemori ye-GPU eyodwa. I-Fully Sharded Data Parallel iyibhulokhi yokwakha yobuchwepheshe ethinta ikhwalithi yamamodeli, izindleko zengqalasizinda, ukubambezeleka, nokuthembeka esikalini. Ukuze wakhe ukuqonda okujulile, phatha I-Fully Sharded Data Parallel njengemodeli yokusebenza, hhayi isici esisodwa: chaza imiphumela efiselekayo, ucacise ukucabanga, futhi uhlukanise lokho isistimu engakwenza ngokwethembeka kulokho okusadinga ukwahlulela kochwepheshe.
Empeleni, amaqembu aqinile asebenzisa i-Fully Sharded Data Parallel athuthukisa ukwakheka, idatha, nokukhetha kwengqalasizinda ngokumelene nokuthembeka nezindleko. Babhala imibandela yempumelelo ecacile, ukuhlola okuqhathaniswa nedatha engokoqobo nokugeleza komsebenzi, futhi baphindaphinde ngokusekelwe kumaphethini okuhluleka aqashiwe esikhundleni sokuwina kwebhentshimakhi yesikhathi esisodwa. Yilapho ukuqonda kwethiyori kuguquka kube amandla ahlala njalo kuwo wonke umkhiqizo, inqubomgomo, kanye nokusebenza.
Izinqumo zezakhiwo ziqhuba ukusebenza kanye nezindleko zokusebenza iminyaka. Ngesikhathi esifanayo, Ukuthuthukisa ibhentshimakhi eyodwa kungafihla ubuthakathaka obubanzi besistimu. Indlela eqine kakhulu iwukuhlanganisa isivinini sokuhlola nesiyalo sokuphatha: qhuba abashayeli bezindiza, bamba ubufakazi, ushicilele amalogi ezinqumo, futhi ubuyekeze izivikelo ngokuqhubekayo njengoba imodeli yokuziphatha, okulindelwe ngabasebenzisi, kanye nezimfuneko zokulawula zishintsha.
I-Strategic Impact
Izinqumo zezakhiwo ziqhuba ukusebenza kanye nezindleko zokusebenza iminyaka.
Izinqumo zezakhiwo ziqhuba ukusebenza kanye nezindleko zokusebenza iminyaka. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Imfundo yobuchwepheshe isiza amaqembu ukuthi akhethe isitaki esifanele, hhayi nje esisha.
Imfundo yobuchwepheshe isiza amaqembu ukuthi akhethe isitaki esifanele, hhayi nje esisha. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Izinketho ezingcono zobunjiniyela zinciphisa izehlakalo ezinokwethenjelwa ekukhiqizeni.
Izinketho ezingcono zobunjiniyela zinciphisa izehlakalo ezinokwethenjelwa ekukhiqizeni. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Ukuqaliswa Komhlaba Wangempela
Ukushuna kahle imodeli ye-Llama yepharamitha engu-70-bhiliyoni kuwo wonke ama-GPU angu-8 angakwazi ukubamba izisindo ezigcwele.
Ukuqeqesha kusengaphambili amamodeli olimi amakhulu kumalebhu e-AI ngokuhlukanisa izifunda ze-optimizer (ezibusa inkumbulo ngo-Adamu) kumakhulukhulu ama-accelerator.
Abacwaningi abasebenzisa i-PyTorch's FSDP wrapper ukuqeqesha iziguquli zombono kuqoqo lasenyuvesi ngaphandle kokuthenga ama-flagship angu-80GB GPU.
Ukuhlanganisa i-FSDP ne-bfloat16 yokunemba okuxubile ukuze kuncishiswe inkumbulo ngohhafu futhi kusheshiswe ukuqeqeshwa kokuqeqeshwa kumamodeli e-multimodal.
Amaphethini Okusebenzisa
Ukufana Kwedatha Ehlukene Ngokugcwele ekusebenzeni
Ukushuna kahle imodeli ye-Llama yepharamitha engu-70-bhiliyoni kuwo wonke ama-GPU angu-8 angakwazi ukubamba izisindo ezigcwele.
Ukushuna kahle imodeli ye-Llama yepharamitha engu-70-bhiliyoni kuwo wonke ama-GPU angu-8 angakwazi ukubamba izisindo ezigcwele Amaqembu ngokuvamile athola imiphumela engcono uma echaza izilinganiso zekhwalithi ngaphambili, agcine indlela yokukhuphuka komuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
Ukufana Kwedatha Ehlukene Ngokugcwele ekusebenzeni
Ukuqeqesha kusengaphambili amamodeli olimi amakhulu kumalebhu e-AI ngokuhlukanisa izifunda ze-optimizer (ezibusa inkumbulo ngo-Adamu) kumakhulukhulu ama-accelerator.
Ukuqeqesha kusengaphambili amamodeli olimi amakhulu kumalebhu e-AI ngokwabelana ngezimo ze-optimizer (ezibusa inkumbulo no-Adamu) kuwo wonke ama-accelerator Amaqembu ngokuvamile athola imiphumela engcono uma echaza imingcele yekhwalithi ngaphambili, agcine indlela yokukhuphuka kwabantu yamacala asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
Ukufana Kwedatha Ehlukene Ngokugcwele ekusebenzeni
Abacwaningi abasebenzisa i-PyTorch's FSDP wrapper ukuqeqesha iziguquli zombono kuqoqo lasenyuvesi ngaphandle kokuthenga ama-flagship angu-80GB GPU.
Abacwaningi abasebenzisa i-PyTorch's FSDP wrapper ukuqeqesha iziguquli zombono kuqoqo lasenyuvesi ngaphandle kokuthenga i-flagship 80GB GPUs Teams ngokuvamile bathola imiphumela engcono lapho bechaza imingcele yekhwalithi ngaphambili, bagcine indlela yokukhuphuka komuntu ngamacala asemaphethelweni, futhi balandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
Ukufana Kwedatha Ehlukene Ngokugcwele ekusebenzeni
Ukuhlanganisa i-FSDP ne-bfloat16 yokunemba okuxubile ukuze kuncishiswe inkumbulo ngohhafu futhi kusheshiswe ukuqeqeshwa kokuqeqeshwa kumamodeli e-multimodal.
Ukuhlanganisa i-FSDP ne-bfloat16 enokunemba okuxubile ukuze kuncishiswe inkumbulo cishe ngohhafu futhi kusheshiswe ukuqeqeshwa kumamodeli ahlukahlukene Amaqembu ngokuvamile athola imiphumela engcono lapho echaza imingcele yekhwalithi ngaphambili, agcine indlela yokukhuphuka kwabantu yamacala asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
Izingozi & Guardrails
Ukuthuthukisa ibhentshimakhi eyodwa kungafihla ubuthakathaka obubanzi besistimu.
Izindleko zengqalasizinda nezokulungisa zivame ukubukelwa phansi.
Izikhala zokuphepha nokubonakala zingakhula njengoba izinhlelo ziba nzima kakhulu.
Ukuqalisa Umhlahlandlela
Chaza ukubambezeleka, ikhwalithi, nezindleko ezihlosiwe ngaphambi kokuqaliswa.
Chaza ukubambezeleka, ikhwalithi, nezindleko ezihlosiwe ngaphambi kokuqaliswa. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Ibhentshimakhi ngaphansi komthwalo wangempela nezimo zedatha.
Ibhentshimakhi ngaphansi komthwalo wangempela nezimo zedatha. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Ukuqapha amathuluzi amaphutha, ukukhukhuleka, nomthelela wabasebenzisi.
Ukuqapha amathuluzi amaphutha, ukukhukhuleka, nomthelela wabasebenzisi. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Lungiselela izindlela zokuhlehlisa nezigameko ngaphambi kokukala.
Lungiselela izindlela zokuhlehlisa nezigameko ngaphambi kokukala. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.