Overview
Iyo Yakatwasuka-Kuburikidza Estimator (STE) iri nyore trick yekudzidzisa network ine yakaoma, isingasiyanise matanho senge kutenderedza kana chikumbaridzo. Iyo inoshandisa iyo discrete kukosha pane yekumberi pass asi inonyepedzera kushanda kwacho kwaive chiziviso kana komputa gradients.
Straight-Kuburikidza Estimator chivakwa chehunyanzvi chinokanganisa mhando yemhando, mutengo wezvivakwa, latency, uye kuvimbika pachiyero.
Deep Dive
Mamwe maoparesheni, akadai sekutenderedza kuita nhamba yakakwana, kubatanidza uremu kuenda ku +1/-1, kana kutora chikamu chepamusoro neargmax, chine zita rinobva ku zero kunenge kwese uye risingatsananguriki pakusvetuka. Kuti zero gradient inomira kudzidza kuchitonhora. Iyo Yakatwasuka-Kuburikidza Estimator inosiya izvi nekupatsanura kumberi nekumashure kunopfuura: kumberi, inoshandisa iyo yechokwadi yakaoma kushanda; ichidzokera kumashure, inongokopa gradient inopinda yakananga kuburikidza sekunge oparesheni yanga iri identity (kana proxy yakatsetseka). Iko fungidziro yakarerekera, nekuti iyo yechokwadi gradient i zero, asi mukuita izvi 'kunyepedzera kunge kwakatsetseka' fungidziro inodzidzisa mabhinari uye quantized network zvinoshamisa, ndosaka STE iri bhiza rekudzidza kwakadzama.
Technical Insight
Kuita ndeye-liner mune zvemazuva ano masisitimu: compute y = yakaoma(x) asi nzira magradients sekunge y = x. Patani yakajairika ndeye y = x + stop_gradient(yakaoma(x) - x), saka kukosha kwekumberi kwakaenzana nekuoma(x) ukuwo gradient yekumashure iri iyo chaiyo ye x. Variants vanocheka iyo pass-through gradient kusvika zero kunze [-1, 1] kudzivirira kukwidziridza ma activation ayo basa rakaoma raizozadza, kuvandudza kugadzikana.
Kudzidzira Kururamisa-Kuburikidza Estimator
Iyo Yakatwasuka-Kuburikidza Estimator (STE) iri nyore trick yekudzidzisa network ine yakaoma, isingasiyanise matanho senge kutenderedza kana chikumbaridzo. Iyo inoshandisa iyo discrete kukosha pane yekumberi pass asi inonyepedzera kushanda kwacho kwaive chiziviso kana komputa gradients. Straight-Kuburikidza Estimator chivakwa chehunyanzvi chinokanganisa mhando yemhando, mutengo wezvivakwa, latency, uye kuvimbika pachiyero. Kuti uvake kunzwisisa kwakadzama, bata Straight-Kuburikidza neEstimator 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 Straight-Kuburikidza Estimator inogonesa 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
Kudzidzira mabhinari uye akaderera-bit quantized neural network kuitira kufungidzira kwakanaka pamafoni uye edge zvishandiso.
Kudzosera kumashure kuburikidza neiyo discrete codebook yekutarisa muVQ-VAE uye neural odhiyo / mufananidzo tokenizers.
Quantization-inoziva kudzidziswa uko uremu kana activation inotenderedzwa kune yakatarwa-nzvimbo panguva yekupfuura kumberi.
Kudzidza kutarisisa kana kudhirowa gedhi panogara argmax kana chikumbaridzo munzira yekombuta.
Maitiro Ekuita
Yakatwasuka-Kuburikidza Estimator mukuita
Kudzidzira mabhinari uye akaderera-bit quantized neural network kuitira kufungidzira kwakanaka pamafoni uye edge zvishandiso.
Kudzidzira mabhinari uye akaderera-zvishoma quantized neural network kuti agone kufungidzira pamafoni uye edge zvishandiso 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.
Yakatwasuka-Kuburikidza Estimator mukuita
Kudzosera kumashure kuburikidza neiyo discrete codebook yekutarisa muVQ-VAE uye neural odhiyo / mufananidzo tokenizers.
Kudzokera kumashure kuburikidza neiyo discrete codebook yekutarisa muVQ-VAE uye neural odhiyo / mufananidzo tokenizers Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Yakatwasuka-Kuburikidza Estimator mukuita
Quantization-inoziva kudzidziswa uko uremu kana activation inotenderedzwa kune yakatarwa-nzvimbo panguva yekupfuura kumberi.
Quantization-inoziva kudzidziswa uko uremu kana activation inotenderedzwa kune yakatarwa-poindi panguva yekupfuura kumberi Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura hunhu kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Yakatwasuka-Kuburikidza Estimator mukuita
Kudzidza kutarisisa kana kudhirowa gedhi panogara argmax kana chikumbaridzo munzira yekombuta.
Kudzidza kutarisisa kana kudhirowa gedhi uko argmax kana chikumbaridzo chinogara munzira yekombuta Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura hunhu hwepamberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa 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.