Kenning

• 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
  • Optimizer
  • Runtime
  • RuntimeProtocol
  • Measurements
  • ONNXConversion
  • DataProvider
  • OutputCollector