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  • Introduction
  • Kenning
  • Deep Learning deployment stack
  • Using Kenning from command-line
  • ONNX support in deep learning frameworks
  • Sample autogenerated report
  • Kenning API
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KenningΒΆ

  • Introduction
  • Kenning
    • Kenning installation
    • Kenning structure
    • Using Kenning as a library in Python scripts
    • Using Kenning scenarios
    • Adding new implementations
  • Deep Learning deployment stack
    • From training to deployment
    • Dataset preparation
    • Model preparation and training
    • Model optimization
    • Model compilation and deployment
  • Using Kenning from command-line
    • Command-line arguments for classes
    • Model training
    • In-framework inference performance measurements
    • ONNX conversion
    • Testing inference on target hardware
    • Running inference
    • Generating performance reports
  • ONNX support in deep learning frameworks
    • ONNX support grid in deep learning frameworks
    • ONNX conversion support grid
  • Sample autogenerated report
    • Inference performance metrics
    • Inference quality metrics
  • Kenning API
    • Deployment API overview
    • Dataset
    • ModelWrapper
    • ModelCompiler
    • Runtime
    • RuntimeProtocol
    • Measurements
    • ONNXConversion
    • DataProvider
    • OutputCollector
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