Overview
ONNX (Open Neural Network Exchange) imhando yakavhurika yakajairwa yekumiririra modhi yekudzidza yemuchina kuti ikwanise kufamba zvakasununguka pakati pemafuremu uye nguva dzekumhanya. Iyo inokutendera kuti udzidzise modhi mune chimwe chishandiso, sePyTorch, uye woiendesa mune imwe nharaunda pasina kuinyora patsva.
ONNX uye Model Interoperability inyanzvi yekuvaka inobata mhando yemhando, mutengo wezvivakwa, latency, uye kuvimbika pachiyero.
Deep Dive
Masisitimu akasiyana (PyTorch, TensorFlow, scikit-dzidza) modhi dzezvitoro mune zvisingaenderane mafomati, izvo zvinoita kuti kutumirwa kurwadze. ONNX, yakatangwa muna 2017 na Microsoft uye Facebook uye yava kutonga pasi peLinux Foundation, inogadzirisa izvi nekutsanangura chimiro chefaira chakajairwa uye seti yakamisikidzwa yevashandisi (seConv, MatMul, Relu) inotsanangura modhi segirafu remakomputa. Iwe unotumira kunze muenzaniso wakadzidziswa kune .onnx faira, uye chero inoenderana nguva yekumhanya inogona kuiisa. Iyo ONNX Runtime inobva yaita girafu nemazvo pane dzakasiyana siyana Hardware, ichishandisa optimizations senge opareta fusion uye quantization, uye routing computation kune backends seCPUs, NVIDIA GPUs (kuburikidza neTensorRT), kana nyanzvi yekumhanyisa. Izvi zvinoderedza kudzidziswa kwemuenzaniso kubva pakutumirwa.
Technical Insight
Modhi yeONNX igirafu yakatevedzana yemakomputa: nodhi maopareta anotorwa kubva kune yakashandurwa opareta set (opset), uye mipendero inotakura matensor ane akatsanangurwa maumbirwo nemhando. Vatengesi kunze vanotsvaga kana kunyora modhi yako kutora iyi girafu. Pakunongedza, ONNX Runtime inopatsanura girafu kune 'vanouraya vanopa' (CPU, CUDA, TensorRT, nezvimwewo), imwe neimwe inobata vashandisi iyo inotsigira zvakanyanya, uye inoshandisa girafu-level optimizations sekugara kupeta uye node fusion kukurumidza zvinhu.
Mastering ONNX uye Model Interoperability
ONNX (Open Neural Network Exchange) imhando yakavhurika yakajairwa yekumiririra modhi yekudzidza yemuchina kuti ikwanise kufamba zvakasununguka pakati pemafuremu uye nguva dzekumhanya. Iyo inokutendera kuti udzidzise modhi mune chimwe chishandiso, sePyTorch, uye woiendesa mune imwe nharaunda pasina kuinyora patsva. ONNX uye Model Interoperability inyanzvi yekuvaka inobata mhando yemhando, mutengo wezvivakwa, latency, uye kuvimbika pachiyero. Kuvaka kunzwisisa kwakadzama, bata ONNX uye Model Interoperability 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 ONNX uye Model Interoperability 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
Kutumira kunze kwePyTorch mufananidzo wekirasi kuONNX uye uchimhanyisa neONNX Runtime pane C ++ yekugadzira server isina kutsamira paPython.
Kuendesa modhi kune nharembozha kana browser kuburikidza neONNX Runtime Web (WebAssembly) ye-on-device inference.
Kumhanyisa shanduko inotengeswa kunze kwenyika neNVIDIA TensorRT seONNX Runtime execution inopa kune yakaderera latency.
Kuenzanisa modhi yeONNX kune int8 kudzikisa saizi yayo uye nekumhanyisa kufungidzira pamucheto CPUs.
Maitiro Ekuita
ONNX uye Model Interoperability mukuita
Kutumira kunze kwePyTorch mufananidzo wekirasi kuONNX uye uchimhanyisa neONNX Runtime pane C ++ yekugadzira server isina kutsamira paPython.
Kuendesa kunze kwePyTorch mufananidzo wekirasi kuONNX uye uchimhanyisa neONNX Runtime pane C ++ yekugadzira sevha isina Python inotsamira Matimu anowanzo kuwana mhedzisiro iri nani kana vachitsanangudza zvikumbaridzo zvemhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
ONNX uye Model Interoperability mukuita
Kuendesa modhi kune nharembozha kana browser kuburikidza neONNX Runtime Web (WebAssembly) ye-on-device inference.
Kuendesa modhi kune nharembozha kana browser kuburikidza neONNX Runtime Web (WebAssembly) ye-on-mudziyo inference 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.
ONNX uye Model Interoperability mukuita
Kumhanyisa shanduko inotengeswa kunze kwenyika neNVIDIA TensorRT seONNX Runtime execution inopa kune yakaderera latency.
Kumhanyisa shanduko inotengeswa kunze kwenyika neNVIDIA TensorRT seONNX Runtime execution inopa kune yakaderera latency Matimu anowanzo kuwana mibairo iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
ONNX uye Model Interoperability mukuita
Kuenzanisa modhi yeONNX kune int8 kudzikisa saizi yayo uye nekumhanyisa kufungidzira pamucheto CPUs.
Kuverengera modhi yeONNX kune int8 kudzikamisa saizi yayo uye nekumhanyisa fungidziro pamupendero weCPUs Matimu anowanzo kuwana mhedzisiro iri nani kana vachitsanangudza mhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, 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.