Overview
Model pruning inodzikisira neural network nekubvisa uremu kana zvimiro zvese zvinopa zvishoma pakubuda kwayo. Iyo inocheka saizi, ndangariro, uye compute mutengo uchivavarira kuchengetedza huchokwadi hunenge hwakasimba.
Model Pruning inzvimbo yekuvaka yehunyanzvi inobata mhando yemhando, mutengo wezvivakwa, latency, uye kuvimbika pachiyero.
Deep Dive
Akadzidziswa neural network anowanzo over-parameterized: akawanda anongedzo anotakura huremu hudiki husina kukanganisa kufanotaura. Kuchekerera kunoratidza uye kubvisa izvi, zvichisiya muenzaniso wakaonda. Kuchekerera zvisina kurongeka kunobvisa huremu hwemunhu, kugadzira matrices mashoma anogona kudzvanywa zvakanyanya asi anoda maware akakosha kana maraibhurari kuti akurumidze. Kuchekerera kwakamisikidzwa kunobvisa mayuniti akazara - neurons, misoro yekutarisisa, chiteshi, kana maseru - ichipa diki dense modhi inomhanya nekukurumidza pane zvakajairika hardware. Recipe yakajairika ndeye iterative loop: chitima, chekerera zvisinganyanyi kukosha neimwe chirevo (kazhinji huremu huremu), wozonyatso gadzirisa kuti udzore yakarasika chokwadi, uchidzokorora kusvika saizi kana kukurumidza chinangwa chasangana. Kuchekerera mapairi zvakajairika ne quantization uye distillation mumapaipi ekutumirwa.
Technical Insight
Kukosha zvibodzwa zvinosarudza zvekucheka. Chiyero chakareruka hukuru - huremu hudiki hwakakwana hunofungidzirwa husina basa. Dzimwe nzira dzakakwenenzverwa dzinofungidzira huremu hwega hwega pakurasikirwa uchishandisa ma gradients kana yechipiri-order (Hessian-based) senitivity, sezviri muOptimal Brain Surgeon-maitiro maitiro. Iyo Lottery Tikiti Hypothesis yakacherekedza kuti dense network ine sparse subnetworks iyo, yakadzidziswa kubva pakutanga chaipo, inogona kuenzanisa iyo yakazara modhi - zvichiratidza kuti yakawanda network haina basa kubva pakutanga.
Mastering Model Pruning
Model pruning inodzikisira neural network nekubvisa uremu kana zvimiro zvese zvinopa zvishoma pakubuda kwayo. Iyo inocheka saizi, ndangariro, uye compute mutengo uchivavarira kuchengetedza huchokwadi hunenge hwakasimba. Model Pruning inzvimbo yekuvaka yehunyanzvi inobata mhando yemhando, mutengo wezvivakwa, latency, uye kuvimbika pachiyero. Kuti uvake kunzwisisa kwakadzama, bata Model Pruning semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvinodiwa, kujekesa fungidziro, uye patsanura izvo zvinogona kuitwa nehurongwa hwakavimbika kubva kune zvichiri kuda kutonga kwenyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa Model Pruning inokwenenzvera zvivakwa, data, uye sarudzo dzezvivakwa zvinopesana nekuvimbika uye mutengo. Ivo vanonyora zvakajeka maitiro ebudiriro, bvunzo vachipokana ne data rechokwadi uye mafambiro ebasa, uye iterate zvichibva pane zvakacherechedzwa maitiro ekutadza kwete kuhwina-nguva imwe chete yebhenji. Apa ndipo apo kunzwisisa kwe theoretical kunoshanduka kuve kugona kwakasimba pane chigadzirwa, mutemo, uye mashandiro.
Zvisarudzo zvezvivakwa zvinotyaira kuita uye mutengo wekushandisa kwemakore. Panguva imwecheteyo, Kukwirisa imwe bhenji kunogona kuvanza yakafara system kushaya simba. Nzira yakatsiga ndeyekubatanidza kukurumidza kuyedza nekutonga: mhanyisa vatyairi vendege, tora humbowo, buritsa matanda esarudzo, uye urambe uchivandudza chengetedzo semaitiro emuenzaniso, zvinotarisirwa nemushandisi, uye zvinodikanwa zvekutonga.
Strategic Impact
Zvisarudzo zvezvivakwa zvinotyaira kuita uye mutengo wekushandisa kwemakore.
Zvisarudzo zvezvivakwa zvinotyaira kuita uye mutengo wekushandisa kwemakore. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Dzidzo yehunyanzvi inobatsira zvikwata kusarudza murwi wakakodzera, kwete iwo mutsva chete.
Dzidzo yehunyanzvi inobatsira zvikwata kusarudza murwi wakakodzera, kwete iwo mutsva chete. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Sarudzo dzeinjiniya dziri nani dzinoderedza zviitiko zvekuvimbika mukugadzira.
Sarudzo dzeinjiniya dziri nani dzinoderedza zviitiko zvekuvimbika mukugadzira. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Real-World Implementation
Kudzvanya modhi yemutauro muhombe kuti umhanye pane mutengi mumwechete GPU pachinzvimbo chesevha cluster.
Kurerutsa modhi yechiratidzo kuitira kuti ikwane mukati mendangariro ye smartphone kana yakamisikidzwa kamera.
Kubvisa misoro yekutarisisa yakawandisa kubva kuTransformer ine kudonha kudiki kunoyerwa mumhando.
Kuderedza inference simba uye latency kune yakakwira-traffic masevhisi kudzikisa mutengo wegore.
Maitiro Ekuita
Muenzaniso Kuchekerera mukuita
Kudzvanya modhi yemutauro muhombe kuti umhanye pane mutengi mumwechete GPU pachinzvimbo chesevha cluster.
Kudzvanya modhi yemutauro muhombe kuti umhanye paGPU imwe chete yevatengi pachinzvimbo chesevha sumbu Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura mhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Muenzaniso Kuchekerera mukuita
Kurerutsa modhi yechiratidzo kuitira kuti ikwane mukati mendangariro ye smartphone kana yakamisikidzwa kamera.
Kurerutsa modhi yechiratidzo kuitira kuti ikwane mukati mendangariro ye smartphone kana yakamisikidzwa kamera Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Muenzaniso Kuchekerera mukuita
Kubvisa misoro yekutarisisa yakawandisa kubva kuTransformer ine kudonha kudiki kunoyerwa mumhando.
Kubvisa kusatarisisa misoro kubva kuTransformer ine kudonha kudiki kunoyerwa mumhando Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Muenzaniso Kuchekerera mukuita
Kuderedza inference simba uye latency kune yakakwira-traffic masevhisi kudzikisa mutengo wegore.
Kuderedza inference simba uye latency yemasevhisi akakwira-traffic kudzikisa mutengo wegore Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Njodzi & Guardrails
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.
Implementation Roadmap
Tsanangura latency, mhando, uye mutengo zvinangwa usati waitwa.
Tsanangura latency, mhando, uye mutengo zvinangwa usati waitwa. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Benchmark pasi pechokwadi mutoro uye data mamiriro.
Benchmark pasi pechokwadi mutoro uye data mamiriro. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Chishandiso chekutarisa zvikanganiso, kudonha, uye mushandisi maitiro.
Chishandiso chekutarisa zvikanganiso, kudonha, uye mushandisi maitiro. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Gadzirira nzira dzekudzosera kumashure uye dzezviitiko usati wawedzera.
Gadzirira nzira dzekudzosera kumashure uye dzezviitiko usati wawedzera. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.