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OneDNN_EX

Enviroments

  • Windows 10 laptop
  • CPU i7-11375H
  • Opencv 3.4.5
  • OneDNN 2.50 (2021.4)

OneDNN Simple Classification model (cpu, F32)

  • resnet18 Model
  • Function abstraction in an easy-to-use form
  • Primitive function validation
  • Weight loader
  • Data loader
  • Image preprocess
  • Modeling
  • Match all results with PyTorch
  • Optimization
  • Performace evaluation(Execution time of 100 iteration for one 224x224x3 image)
PytorchOneDNNOneDNNOneDNN
DescriptiongeneralSpecific data typeAny data typeAny data type + fused post ops
Avg Duration time [ms] 27.59 ms 67.65 ms 24.40 ms 22.81 ms
FPS [frame/sec] 36 fps 15 fps 41 fps 44 fps
File Resnet18_py/inference.py resnet18_v1.cpp resnet18_v2.cpp resnet18_v3.cpp

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