Version: Vitis 2023.2
aiecompiler is evolving and therefore it may be difficult for you to keep up with new features. This tutorial shares a variety of features that are useful for AI Engine / AI Engine-ML (AIE-ML) programming to create more visible and efficient code compared to early versions of the compiler.
IMPORTANT: Before beginning the tutorial, make sure that you have installed the AMD Vitis™ Unified Software Platform 2023.2.
Data generation for this tutorial requires Python 3. The following packages are required:
All these designs will compile for AI Engine architecture (VCK190 production board using
make command line) and the AI Engine ML architecture (VEK280 es1 board using
make command line)
After completing this tutorial, you will be able to:
Work with multirate design that allow the compiler to handle frame length mismatch between consecutive kernels in a kernel chain.
Send output data to different other kernels for stream-based and buffer-based I/O.
Conditionally instantiate graph objects.
This tutorial is based on simple data passthrough to avoid another level of complexity.
|Shows how to conditionally instantiate graph objects
|Explains how to handle mismatching frame length in between kernels
|Provides examples on how to manipulate stream/buffer multicasting with multirate
GitHub issues will be used for tracking requests and bugs. For questions, go to support.xilinx.com.
Copyright © 2023 Advanced Micro Devices, Inc.