IntroductionΒΆ
Kenning provides an API for deploying deep learning applications on edge devices using various model training and compilation frameworks.
This documentation consists of the following chapters:
The Kenning section provides a project description, installation steps and a quick start guide,
The Deep Learning deployment stack section describes a typical model deployment flow on edge devices,
The Defining optimization pipelines in Kenning section describes a way to create advanced optimization scenarios with JSON config,
The Using Kenning via command line arguments section describes executable scripts available in |projecturl|,
The Kenning measurements section describes data gathered during the compilation and evaluation process,
The ONNX support in deep learning frameworks section covers ONNX model format support in deep learning frameworks,
The Sample autogenerated report section provides a sample report generated using Kenning,
The Creating applications with Kenning section describes KenningFlow and its usage,
The Developing Kenning blocks section describes a way to develop new Kenning components,
The Kenning API section provides an in-depth description of the Kenning API.