InoteveraGaidhi rinotevera
Sparse Attention Patterns
Mutauro AI
Nhungamiro yehunyanzvi
Block-Sparse uye Native Sparse Attention
Block-sparse uye yemuno yakasarudzika kutarisisa regai vashanduri vatarise kune chete anonyanya kukosha chunks ekutevedzana kwakareba pachinzvimbo chechiratidzo chega chega, ichicheka mutengo wequadratic wekutarisisa kwakajairwa.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
Pa peji ino2 min verenga
Pfupiso
Izvi ndizvo zvinoita kuti mamodheru akareba-akareba ashande pane chaiyo hardware.
Kudzika Kwakadzika
Kuzvitarisa kwakajairwa kunoenzanisa chiratidzo chega chega kune chimwe chiratidzo, saka mutengo unokura zvakapetwa nehupamhi hwekutevedzana, uchive unorambidza kune magwaro marefu. Sparse kutarisisa kunoganhurira tokeni yega yega kuchikamu chevamwe. Nzira dzeBlock-sparse dzinopatsanura kutevedzana kuita mabhuroko uye kuverengera kutarisa chete kune akasarudzwa mabhuroka maviri, ayo anomepu zvakanaka paGPU tensor cores. Native Sparse Attention (NSA), kubva kuDeepSeek, inoenderera mberi: inodzidziswa kuguma-kusvika-kumagumo uye hardware-yakashongedzwa, ichibatanidza matavi matatu, coarse-grained token compression, yakanaka-grained kusarudzwa kwezvivharo zvakakosha, uye hwindo rinotsvedza renzvimbo yenzvimbo. Nekuti iyo sparsity pateni inodzidzwa panguva yepretraining pane kuvharirwa shure kwacho, NSA inochengetedza huroyi uku ichiendesa kukurumidza kukuru mukutevedzana kwakareba.
Kuitwa muNyika yeChokwadi
Kumhanyisa modhi pamusoro pese codebase kana chibvumirano chakareba chepamutemo uko kutarisa kuzere kwaizopedza GPU ndangariro.
DeepSeek's NSA inomhanyisa kudzidzisa uye kureba-mamiriro ekutaura uku uchifananidza kana kurova kuzere-kutarisisa chokwadi.
Kupfupikisa magwaro eurefu hwebhuku nekuenda kupfupiso yebhuroko yakamanikidzwa pamwe nendima dzinoenderana munharaunda.
Kumhanyisa-refu-chinyorwa vabatsiri vekutaura vane nhanho yekunyora-inosungirwa mundangariro nekudzikamisa chiratidzo chega chega kumabhuroki epamusoro.
Ramangwana reBlock-Sparse uye Native Sparse Attention
Inodzidziswa, hardware-inoziva sparsity iri kuita nzira inoenda kune miriyoni-chiratidzo mamiriro pasina kuputika mutengo. Tarisira kutarisisa kushoma kugadzirwa pamwe chete nemakernels uye accelerators, akasanganiswa nemutsara-kutarisisa uye mamiriro-nzvimbo-yenzvimbo, uye inogamuchirwa mumuganhu-refu-mamiriro uye maitiro ekufunga. Sezvo mapatani achiva anodzidzisika uye ane simba, mamodheru anogovera kutarisisa bhajeti zvinoenderana nemubvunzo wega wega, uye mabhenji anowedzera kuyera decoding throughput pakutevedzana kwakareba, kwete kungoita mbishi mhando.
Kuzvishandisa
Nei zvichikosha
- Mutengo uye bhajeti. Zvisarudzo zvezvivakwa zvinotyaira kuita uye mutengo wekushandisa kwemakore.
- Sarudzo dzakajeka. Dzidzo yehunyanzvi inobatsira zvikwata kusarudza murwi wakakodzera, kwete iwo mutsva chete.
- Kudzora kwemhando yepamusoro. Sarudzo dzeinjiniya dziri nani dzinoderedza zviitiko zvekuvimbika mukugadzira.
Chenjera
- Kugadzirisa imwe bhenji kunogona kuvanza yakafara system kushaya simba.
- Infrastructure uye mari yekugadzirisa inowanzotarisirwa pasi.
- Chengetedzo uye kucherechedzwa mapundu anogona kukura sezvo masisitimu anowedzera kuoma.
Matanho anotevera
- Tsanangura latency, mhando, uye mutengo zvinangwa usati waitwa.
- Benchmark pasi pechokwadi mutoro uye data mamiriro.
- Chishandiso chekutarisa zvikanganiso, kudonha, uye mushandisi maitiro.
- Gadzirira nzira dzekudzosera kumashure uye dzezviitiko usati wawedzera.
Ramba Uchiongorora
Tsamba yemahara
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Zviedze iwe pachako
Take the Block-Sparse and Native Sparse Attention quiz
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Mibvunzo inowanzo bvunzwa
Chii chinonzi Block-Sparse uye Native Sparse Attention?
Block-sparse uye yemuno yakasarudzika kutarisisa regai vashanduri vatarise kune chete anonyanya kukosha chunks ekutevedzana kwakareba pachinzvimbo chechiratidzo chega chega, ichicheka mutengo wequadratic wekutarisisa kwakajairwa. Izvi ndizvo zvinoita kuti mamodheru akareba-akareba ashande pane chaiyo hardware.
Sei kuzvitarisira kwakajairika kuchidhura kune dzakatevedzana dzakareba?
Yese tokeni inobata kune yega yega tokeni, saka verenga uye ndangariro chiyero nechikwere chehurefu hwekutevedzana.
Ndeipi pfungwa huru ye block-sparse attention?
Iyo inoteedzana inopatsanurwa kuita mabhuraki uye kutarisisa kunoverengerwa chete kune vakasarudzwa block pairs, iyo zvakare inomira zvakanaka kuGPU tensor cores.
Chii chinoita kuti Native Sparse Attention (NSA) ive mutsauko kubva kune dzakawanda dzakambopfuura nzira shoma?
NSA inodzidza yayo sparsity patani panguva yepretraining uye yakagadzirirwa kuenderana nehardware, saka inochengetedza iko kurongeka ichimhanya nekukurumidza.
Ndeapi mapazi matatu anosanganisirwa neNSA makiyi nehunhu hwayo?
NSA inosanganisa coarse token compression, yakanaka-grained block sarudzo, uye hwindo rekutsvedza remunharaunda uchishandisa magedhi akadzidzwa.
Nei NSA ichishandisa block-level mashandiro pane zvekupokana token-level sparsity?
Block-level yekuwana mapatani inoenderana neGPU Hardware, saka theoretical FLOP yekuchengetedza inove chaiyo yemadziro-wachi kumhanya.
Ramba uchidzidza
Mazano anoenderana
Mamwe madhairekitori akasarudzirwa nyaya iyi