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Optimizer State Offloading kuCPU uye NVMe
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Nhungamiro yehunyanzvi
Lookahead neShumba maviri emazuva ano twist pane neural-network optimization.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
Lookahead inoputira chero base base optimizer ine 'inononoka' uye 'inokurumidza' huremu hwekufambira mberi kwakadzikama, nepo Shumba (EvoLved Sign Momentum) yakawanikwa nekutsvaga chirongwa cheAI uye inogadziridza uremu uchishandisa chete chiratidzo chenguva yekumhanya - ichiita kuti ive ndangariro-mwenje uye kazhinji nekukurumidza kupfuura Adhamu.
Lookahead, yakakurudzirwa naZhang, Hinton uye vaanoshanda navo muna 2019, anomhanyisa yakajairwa 'nekukurumidza' optimizer (saAdhama kana SGD) yematanho ek, yobva yakwenya seti yakaparadzana 'inononoka' uremu chidimbu chenzira yakananga kwakaguma uremu hwekukurumidza. Izvi zvinoderedza oscillations uye kuderedza kunzwa kune hyperparameters. Shumba, yakaburitswa na Google muna 2023, yakabuda muchirongwa chekutsvaga pamusoro pe optimizer algorithms. Iyo inoteedzera kukurumidza asi inoshandisa chiratidzo chekushanda kune yekuvandudza, saka yega yega parameter inofamba neyakagadziriswa nhanho saizi munzira yeakaunganidzwa gradient chiratidzo. Shumba inochengeta chete nhanho yenhanho (hafu yenyika yaAdhamu, inochengeta mbiri), inoshandisa kuora uremu hombe uye mwero wekudzidza mudiki, uye yakafananidza kana kurova Adamu pakuona kukuru uye mienzaniso yemitauro painodzidzira nekukurumidza uye isingadhuri.
Kuputira Adamu ne Lookahead kudzikamisa kudzidziswa kwevashanduri uye kuderedza hyperparameter tuning kuedza.
Kushandisa Shumba kudzidzisa mamodheru makuru ekuona (semuenzaniso, ViT) ine yakaderera optimizer ndangariro kupfuura Adamu.
Kufanodzidzira mamodheru emitauro neShumba kuti iwane kurongeka kwakaenzaniswa pamutengo wakaderera wekombuta.
Kubatanidza Lookahead neSGD mukusimbisa-yekudzidza vamiririri kupfava zvine ruzha zvigadziriso zvepolicy.
Shumba yakagamuchirwa mune akati wandei mahombe ekudzidzira kumhanya nekuti inocheka optimizer ndangariro uye inokwanisa kukurumidzira kusangana, uye kuwanikwa kwayo kunoratidza otomatiki 'AI-designing-AI' algorithm yekutsvaga seyo chaiyo sosi yezvinobudirira zvinowana. Tarisira mamwe ma-optimizers ekutsvaga, mahybrid schemes anosanganisa Lookahead-maitiro anononoka uremu ane masign-based updates, uye kuwedzera kufarira mundangariro-anoshanda optimizers semhando dzemhando dzinoramba dzichisimbisa GPU memory bhajeti.
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Lookahead neShumba maviri emazuva ano twist pane neural-network optimization. Lookahead inoputira chero base base optimizer ine 'inononoka' uye 'inokurumidza' huremu hwekufambira mberi kwakadzikama, nepo Shumba (EvoLved Sign Momentum) yakawanikwa nekutsvaga chirongwa cheAI uye inogadziridza uremu uchishandisa chete chiratidzo chenguva yekumhanya - ichiita kuti ive ndangariro-mwenje uye kazhinji nekukurumidza kupfuura Adhamu.
Shumba inoshandisa chiratidzo kune imwe nguva inopindirana, saka imwe neimwe parameter inofamba nenhanho yakafanana mugwara rechiratidzo che gradient.
Lookahead inomhanyisa inner optimizer yema k nhanho, yobva yafamba zvishoma nezvishoma uremu chidimbu chenzira yakananga kune zvinokurumidza uremu uye kuseta zvakare.
Shumba (EvoLved Sign Momentum) yakabuda kubva muchirongwa-chekutsvaga maitiro akachinja uye akaongorora zvirongwa zvemumiriri.
Adamu anoteedzera nguva yekutanga neyechipiri; Shumba inongochengeta imwe chete yekumhanyisa buffer, ingangoita nepakati nepakati optimizer state memory.
Sezvo basa rechiratidzo rinogadzirisa hukuru hwekugadzirisa kwega kwega, danho rinoshanda rakakura, saka chiyero chiduku chekudzidza (uye kuora kwehuremu) kunoshandiswa.
Ramba uchidzidza
Mamwe madhairekitori akasarudzirwa nyaya iyi
InoteveraGaidhi rinotevera
Optimizer State Offloading kuCPU uye NVMe
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