After bitsteam generation about bnn-pynq

[giuliogamba]

In order to use your generated bitstream, you can follow step 6 in HW design rebuild available at
https://github.com/Xilinx/BNN-PYNQ/blob/master/README.md.

The binary parameters should be moved in pip_installation_path/bnn/params/

[mgepner]

Okay, I programmed the PYNQ now using the bit file found in bnn/bitstreams. The PYNQ is also running Linux. Are you saying the binary parameters in /bnn/params/ need to be moved onto the PYNQ?

[giuliogamba]

Yes, the parameters are stored on the PYNQ board after pip installation, and if a new dataset is trained those should be moved in the same path (pip_installation_path/bnn/params/)

[mgepner]

The PYNQ is programmed with a bitstream through Vivado and has the necessary thres/weights files in /bnn/params/mnist now. How do you run the BNN on the PYNQ?

[giuliogamba]

No, the PYNQ in not programmed through Vivado. Please refer to the "Using Overlays" paragraph in http://pynq.readthedocs.io/en/latest/16_creating_overlays.html.
To see how the BNN are run, please check the bnn.py class in the bnn subfolder