Technical GUIDE

Fully Shared Data Parallel

Fully Sharded Data Parallel (FSDP) inzira yekudzidzisa yakagoverwa inotsemura maparamendi emuenzaniso, magradients, uye optimizer nyika mumaGPU mazhinji saka mudziyo wega wega unongobata chidimbu.

Overview

Fully Sharded Data Parallel (FSDP) inzira yekudzidzisa yakagoverwa inotsemura maparamendi emuenzaniso, magradients, uye optimizer nyika mumaGPU mazhinji saka mudziyo wega wega unongobata chidimbu. Inoita kuti kudzidzisa mamodheru mahombe agoneke pane Hardware isingambofi yakakwana modhi yese mundangariro yeGPU imwe.

Fully Sharded Data Parallel inyanzvi yekuvaka inobata mhando yemhando, mutengo wezvivakwa, latency, uye kuvimbika pachiyero.

Deep Dive

Traditional data parallelism inochengeta kopi yakazara yemuenzaniso paGPU yega yega, iyo inoparadza ndangariro uye caps modhi saizi. FSDP, yakakurumbira ne Meta's PyTorch uye yakafemerwa neMicrosoft's ZeRO, panzvimbo pacho inopatsanura zvinhu zvitatu pamidziyo yese: paramita, gradients, uye optimizer nyika. Munguva yekupfuura, imwe neimwe GPU inounganidza kwenguva pfupi huremu hwakazara hwechitubu chairi komputa kuburikidza neyese-kuunganidza, inomhanyisa computation, yobva yasunungura kopi yakaunganidzwa. Iyo yekumashure inopfuura inoshanda zvakafanana, ichiteverwa nekudzikisa-kuparadzira iyo inogovera gradient zvimedu kudzokera kune yavo maGPU. Nekuti mudziyo wega wega unongochengeta zvachose chikamu chemodhi, kushandiswa kwendangariro kunodonha zvine mutsetse nenhamba yeGPU, zvichiita kuti zvikwata zvidzidzise modhi nemakumi kana mazana emabhiriyoni emaparamita.

Technical Insight

FSDP inotengesa kutaurirana kwekuwedzera kuchengetedza ndangariro. Huremu hwega hwega hunovakwa patsva pane kudiwa ne-se-kuunganidza pamberi pekushandisa uye kuraswa ipapo ipapo, ukuwo ma gradients anosanganiswa uye akapatsanurwa nekudzikisa-kuparadzira. Nhaurirano inogona kuputirwa nekombuta nekufanofeta maparamendi emutsetse unotevera apo iyo yazvino layer ichimhanya, ichivanza yakawanda yetiweki latency. Kugadzirisa iyo sharding granularity (kupeta mutemo) inoyera ndangariro tsoka inopesana nekutaurirana pamusoro.

Kudzidza Zvakakwana Zvakagoverwa Data Parallel

Fully Sharded Data Parallel (FSDP) inzira yekudzidzisa yakagoverwa inotsemura maparamendi emuenzaniso, magradients, uye optimizer nyika mumaGPU mazhinji saka mudziyo wega wega unongobata chidimbu. Inoita kuti kudzidzisa mamodheru mahombe agoneke pane Hardware isingambofi yakakwana modhi yese mundangariro yeGPU imwe. Fully Sharded Data Parallel inyanzvi yekuvaka inobata mhando yemhando, mutengo wezvivakwa, latency, uye kuvimbika pachiyero. Kuvaka kunzwisisa kwakadzama, bata Fully Sharded Data Parallel semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvinodikanwa, kujekesa fungidziro, uye patsanura izvo zvinogona kuitwa nehurongwa hwakavimbika kubva kune zvichiri kuda kutonga kwenyanzvi.

Mukuita, zvikwata zvakasimba zvinoshandisa Fully Sharded Data Parallel inokwidziridza 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.

Ramangwana reFully Shared Data Parallel

FSDP yave kuita yekusarudzika yekuvhurika yakakura-modhi kudzidziswa, neFSDP2 muPyTorch inovandudza usability uye per-parameta sharding. Tarisira kubatanidzwa kwakasimba ne tensor uye pombi parallelism yematiriyoni-parameta modhi, tsigiro iri nani yekusanganisa chaiyo uye fp8, uye yakangwara yekuputira otomatiki iyo inokusarudzira miganhu yekuparadzanisa. Sezvo inter-GPU inobatanidza seNVLink neInfiniBand ichikurumidza, mari yekukurukurirana ye sharding inoramba ichiderera, zvichiita kuti ishande pazvikero zvakakura.

Real-World Implementation

Kunyatsogadzirisa 70-bhiriyoni-parameter Llama modhi kuyambuka 8 GPUs iyo yega isingakwanise kubata huremu hwakazara.

Kudzidzira mamodheru emitauro mikuru paAI labs nesharding optimizer nyika (iyo inotonga ndangariro naAdam) mumazana eanomhanyisa.

Vatsvagiri vanoshandisa PyTorch's FSDP wrapper kudzidzisa maratidziro ekuona pachikwata cheyunivhesiti pasina kutenga mureza 80GB GPU.

Kubatanidza FSDP neyakavhenganiswa-chaiyo bfloat16 kuti iite hafu yekuyeuka uye nekumhanyisa kudzidzisa kufambisa pane multimodal modhi.

Maitiro Ekuita

Fully Sharded Data Parallel mukuita

Kunyatsogadzirisa 70-bhiriyoni-parameter Llama modhi kuyambuka 8 GPUs iyo yega isingakwanise kubata huremu hwakazara.

Kunyatsogadzirisa 70-bhiriyoni-parameter Llama modhi mhiri 8 GPUs iyo yega isingakwanise kubata huremu hwakazara Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura hunhu hwepamberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye kukanganisa mutengo nekufamba kwenguva.

Fully Sharded Data Parallel mukuita

Kudzidzira mamodheru emitauro mikuru paAI labs nesharding optimizer nyika (iyo inotonga ndangariro naAdam) mumazana eanomhanyisa.

Kudzidzira mamodheru emitauro mikuru paAI labs nesharding optimizer nyika (iyo inotonga ndangariro naAdamu) mumazana eanomhanyisa Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye kukanganisa mutengo nekufamba kwenguva.

Fully Sharded Data Parallel mukuita

Vatsvagiri vanoshandisa PyTorch's FSDP wrapper kudzidzisa maratidziro ekuona pachikwata cheyunivhesiti pasina kutenga mureza 80GB GPU.

Vatsvagiri vanoshandisa PyTorch's FSDP wrapper kudzidzisa vashanduri vechiratidzo pachikwata cheyunivhesiti vasina kutenga mureza 80GB GPUs Matimu anowanzo kuwana mibairo iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.

Fully Sharded Data Parallel mukuita

Kubatanidza FSDP neyakavhenganiswa-chaiyo bfloat16 kuti iite hafu yekuyeuka uye nekumhanyisa kudzidzisa kufambisa pane multimodal modhi.

Kubatanidza FSDP neyakavhenganiswa-chaiyo bfloat16 kudzika nepakati ndangariro uye kukurumidzira kudzidzira kufambisa pamamodhi akawanda Matimu anowanzo kuwana mibairo iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.

Njodzi & Guardrails

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Kugadzirisa imwe bhenji kunogona kuvanza yakafara system kushaya simba.

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Infrastructure uye mari yekugadzirisa inowanzotarisirwa pasi.

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Chengetedzo uye kucherechedzwa mapundu anogona kukura sezvo masisitimu anowedzera kuoma.

Implementation Roadmap

1

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.

2

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.

3

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.

4

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.

Ramba Uchiongorora