Composable Kernel structure

The Composable Kernel library uses a tile-based programming model and tensor coordinate transformation to achieve performance portability and code maintainability. Tensor coordinate transformation is a complexity reduction technique for complex machine learning operators.

The Composable Kernel library consists of four layers:

• a templated tile operator layer

• a templated kernel and invoker layer

• an instantiated kernel and invoker layer

• a client API layer.

A wrapper component is included to simplify tensor transform operations.