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Björne2's avatar
Björne2
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2 years ago

Advice on CNN inference on Agilex 7 using oneAPI

Greetings everyone, I'm tasked with porting an CNN trained with PyTorch to an Agilex 7 FPGA using HLS. I think the right tool for the job is oneAPI. Since this is not a completely novel task, I wond...
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haoyanwa's avatar
haoyanwa
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2 years ago

Thank you for reaching out! I recommend checking out HLS4ML: HLS4ML GitHub Repository.

It is a framework designed to convert machine learning models from popular libraries like PyTorch and Keras into FPGA binaries. It integrates seamlessly with oneAPI by utilizing the DPC++/C++ compiler in the backend to generate IP blocks that represent the different components of your model, such as layers, activation functions, and more.

While HLS4ML is still a work in progress, it offers a good start point for which you can save massive time from implementing everything from scratch, including handling weights, pooling layers, and fixed-point arithmetic.

For a step-by-step guide on how to get started, you can explore their tutorials here: HLS4ML Tutorials. These Jupyter Notebooks walk you through the process from building and training a model to emulating it on an FPGA.

Let us know if you have any further questions.