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pynq_deploy.rst 1.78 KiB

PYNQ Deployment

Note

This website is currently under construction.

/img/pynq-deploy.png

This chapter is about the hardware generation and deployment on PYNQ. If you need more information about PYNQ, please have a look at the PYNQ website.

Create PYNQ Shell Project

To deploy the network on A PYNQ platform, it needs to be put inside an appropriate shell. This shell bridges the network with the interfaces the underlying system exposes. This can be done using the transformation MakePYNQProject, see :py:mod:`finn.transformation.fpgadataflow.make_pynq_proj.MakePYNQProject`.

Test on Hardware

Synthesis, Place and Route

After integrating the model into the PYNQ shell, Vivado Synthesis, Place and Route can be launched. The result is a bitfile which can be used for the PYNQ board. In FINN this can be done using a transformation pass. For details, please have a look at :py:mod:`finn.transformation.fpgadataflow.synth_pynq_proj.SynthPYNQProject`.

Generate PYNQ runtime code

Additionally, a Python code is necessary to execute the model on the board. This is done by transformation pass :py:mod:`finn.transformation.fpgadataflow.make_pynq_driver.MakePYNQDriver`.

Deployment and Remote Execution

The bitfile and the driver file(s) are copied to the PYNQ board and can be executed there using the onnx_exec function with the right exec_mode settings. For details please have a look at transformation :py:mod:`finn.transformation.fpgadataflow.make_deployment.DeployToPYNQ` and the execution function :py:mod:`finn.core.onnx_exec`.