ONNX ak xeetu jëflante
ONNX (Weccoo Reseau Neural bu ubbeeku) formaa standard la bu ubbeeku ngir wane xeetu jàngu masin suko defee ñu mëna toxu ci diggante kaadar yi ak waxtu doxal yi.
Résumé
It lets you train a model in one tool, like PyTorch, and deploy it in another environment without rewriting it.
Plongeur bu xóot
Different frameworks (PyTorch, TensorFlow, scikit-learn) store models in incompatible formats, which makes deployment painful. ONNX, bi __AIU_PROTECTED_5_ ak Facebook tëral ci 2017 te leegi ñu ngi koy jiite ci Fondation Linux, dafay saafara jafe-jafe yii ci joxe xeetu fichier buñ bokk ak benn xeetu operatër buñ yamale (lu melni Conv, MatMul, Relu) yuy fësal benn model ni graf ordinatër. Yaa ngi yóbbu ab model buñu tàggat ci ab fichier .onnx, te bépp runtime bu méngoo mën nako sarse. ONNX Runtime dafay jëfandikoo graphe bi ci anam wu jaar yoon ci ay aparey yu bari, jëfandikoo ay optimaasioŋ yu melni fusion operatër ak kantite, ak jëfandikoo xayma ci backend yu melni CPUs, GPUs NVIDIA (jaaraleko ci TensorRT), wala gaawaay yu yam. Loolu dafay tàqale tàggat model ak dugal.
Gis-gis xarala
Modèle ONNX graphe calcul serialisé la: node yi ay operatër lañu yuñ jëlee ci ensemble operatër buñ joxe version (opset), ba noppi boor yi dañuy yor ay tensor yu am jëmm ak xeetu jëmmal. Exportatër yi dañuy topp wala bind sa model ngir jàpp graf bii. Ci gàttal, ONNX Runtime dafay xaaj graphe bi ci 'fournisseurs de execution' (CPU, CUDA, TensorRT, ak ñoom seen), ku nekk ci ñoom yor operatër yi mu gëna jàppale, ba noppi jëfandikoo ay optimisation ci niveau graphe bi lu melni pliage constant ak node fusion ngir gaawlu mbir yi.
njeextalu pexe
Njëgg ak budget
Dogal yi architecture di jël dañuy indi njariñ ak njëgu liggéey bi ay at ci ginaaw.
dogal yu gëna leer
Njàngalem xarala yi dafay jàppale ekip yi ñu tànn li gën, te baña yam ci li gëna bees daal.
Xool kalite
Tanneef yu gëna baax ci wàllu ingeñër dina wàññi jafe-jafe yi ci wàllu wóor ci liggéey bi.
Ëlëgu ONNX ak xeetu jëflante
ONNX mingi gëna dëgëral boppam ni lingua franca ngir jëfandikoo model, rawatina ci wàllu edge ak cross-platform. Xaarandi coverage bu gëna yaatu ci operatër yi ci modeli làkk yu mag yi ak transformatër yi, ndimmbal bu gëna dëgër ngir inference quantized ak low-bit, ak boole bu gëna xóot ak runtimes jaaykatu aparey yi. Lu ecosystemu puce IA yiñ jagleel di màgg, formaa bu amul benn boor bu melni ONNX dafay gëna am solo, may ekip yi ñu weccoo hardware te duñu defaraat model yi, te ONNX Runtime dafay wéy di yaatu ci mobile ak web (jaaraleko ci WebAssembly) ay target.
Doxal ci àdduna dëgg
Yobbu benn xeetu nataalu PyTorch ci ONNX te nga doxal ko ak ONNX Runtime ci serwëru defar C++ bu amul benn dependence Python.
Taxawal benn model ci mobile wala nawigatër jaaraleko ci ONNX Runtime Web (WebAssembly) ngir mëna jàpp ci aparey bi.
Gaawaay ab trafokat buñ yóbbu ci bitim reew ak NVIDIA TensorRT muy ONNX Runtime joxekat ngir wàññi latency.
Quantizing benn model ONNX ci int8 ngir wàññi dayoom ak gaawlu inference ci CPUs yu yam yi.
Risk yi ak balustrade yi
Optimize benn benchmark mën na nëbb ñakk kattan yu gëna yaatu ci sistem bi.
Njëg li ñuy fay ci infrastructure yi ak ci toppatoo dañuy faral di suufeel.
Bu sistem yi di gëna xawa jafee xam, jafe-jafe yi am ci wàllu kaaraange ak seetlu mën nañu gëna bari.
Roadmap ngir samp gi
Mandargal latency, kalite, ak njëg yi laata ngay jëfandikoo.
Benchmark ci biir sargal ak done yu dëggu.
Jumtukaay bi di saytu njuumte yi, derive bi ak njeextalu jëfandikukat bi.
Waajal rollback ak yooni tontu ci jafe-jafe yi laata ngay eskale.
Weyal di banneexu
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Gis bi ci topp
boole model
Laaj yi ñuy faral di laaj
What is ONNX and Model Interoperability?
ONNX (Weccoo Reseau Neural bu ubbeeku) formaa standard la bu ubbeeku ngir wane xeetu jàngu masin suko defee ñu mëna toxu ci diggante kaadar yi ak waxtu doxal yi. Daf lay may nga tàggat benn model ci benn jumtukaay, lu melni PyTorch, nga dugal ko ci beneen environmaa te doo ko binndaat.
Ban jafe-jafe bu mag la ONNX njëkka saafara?
ONNX dafay màndargaal formaa buñ bokk suko defee ñu mëna jëfandikoo model buñ tàggat ci benn kaadar ci beneen environmaa te kenn duko binndaat.
naka la fichier ONNX di wane ab model?
Modèle ONNX mooy graphe calcul bi node yi ay operatër yuñ yamale (lu melni Conv, MatMul, Relu) yu tensor yi boole.
Ban sosiete moo njëkka sos ONNX ci 2017?
AIU_AAR_5_ ak Facebook ñoo ko dugal ci ONNX ci 2017 te leegi Fondation Linux moo ko yor.
Ci ONNX Runtime, luy 'joxekatu jëfandikoo'?
Fournisseur yiy jëfandikoo ay backend yuñ mëna boole (CPU, CUDA, TensorRT, ak yeneen) yu ONNX Runtime di jëfandikoo ngir doxal operatër yi ku nekk ci ñoom gëna jàppale.
Lan mooy 'opset' (ensemble operatër) ci xeetu ONNX?
Version opset bi dafay leeral ban ensemble standardisé ak ban version operateur la model bi di sukkandikoo, ngir mëna wax ni runtimes yi méngoo dañu koy tekki ci anam wu jaar yoon.