The new RNN compiler is a modularized compiler implemented using C++ that provides better performance and user experience. It also has better abstractions with great flexibility to support more backends. It uses a unified core tensor IR to bridge the gap between the LSTM model and our diverse IPs, enabling more optimizations with less overhead, such as DDR/Bank memory planning and instruction scheduling.
Figure 1. Vitis AI RNN Compiler
