quiz bu lëkkale ak tegtal · Diggante Niveau

ONNX ak Model Quiz

Natt xalaat yu am solo yi ci ginaaw graphe ONNX, operatër yi, fournisseur yi, weccoo model, ak optimisation graphe ci runtimes yépp.

Yooni njiit yu jëm ciOnnx ak Model buy jëflante
Laaj 1 de 8

Ban jafe-jafe bu mag la ONNX njëkka saafara?

Xoolaatal laaj bu nekk8 laaj

Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.

  1. Ban jafe-jafe bu mag la ONNX njëkka saafara?
    • Toxal ay model ci diggante ay kaadar yu wuute ak ay waxtu dox ci formaa buñ bokk
    • Etiketu done tàggat yaram ci saasi
    • Defar ay architecture reso neuronal yu bees
    • Encrypter poids model ngir kaaraange
  2. naka la fichier ONNX di wane ab model?
    • Done yu taggat
    • Graafiku xayma bu operatër yuñ yamale
    • Benn nimero bu am poñ buy flote
    • Ni kodu cosaan ci Python
  3. What does the acronym ONNX stand for?
    • Optimized Network Node Execution
    • Open Neural Network Extension
    • Open Neural Network Exchange
    • Operator Network Normalization Exchange
  4. Ci ONNX Runtime, luy 'joxekatu jëfandikoo'?
    • Kontu faktiir cloud
    • Nit ki tàggat model bi
    • Benn xeetu fonction perte
    • Backend buy doxal operatër yiñ jàppale ci ay aparey yu melni CPU, CUDA, wala TensorRT
  5. Lan mooy 'opset' (ensemble operatër) ci xeetu ONNX?
    • Ban xeetu operatër buñ yamale la graf bi di jëfandikoo
    • Jaar-jaaru model bi ci kaw benn test
    • Limu GPU yiñ soxla
    • Tolluwaayu jàng ci tàggat yaram
  6. Which graph-level operations can ONNX Runtime apply?
    • Automatic retraining and label correction
    • Constant folding and node fusion, among other optimizations
    • Changing a model’s architecture to a new framework
    • Generating new training examples from inference requests
  7. What can happen when an ONNX Runtime execution provider supports only part of a model graph?
    • The provider must execute every node or fail by definition
    • model bi dafay tàggataat ci saasi
    • The runtime can assign supported nodes or subgraphs to that provider and others to a different provider
    • All unsupported operators are deleted
  8. Why should an ONNX deployment check the model’s opset against the target runtime?
    • The opset specifies the model’s training dataset size
    • An opset number guarantees identical performance
    • The opset controls the number of GPU devices
    • The graph uses versioned operator definitions that the runtime must support