hls4ml_cnns

CNN firmware using hls4ml. To run on hlssynth-04.

Log in from within lxplus firewall

ssh -XY myuser@hlssynt-04

copy models from AFS to Docker repository (you will have no access to. your AFS from docker)

cd /data/myuser/hls4ml_docker/
git clone git@github.com:thaarres/hls4ml_cnns.git
cd hls4ml_cnns
pip install -r pip_prerequisites.txt --user
cp /path/to/mymodel.h5 models/

Get hls4ml's CNN branch and qkeras

pip install git+https://github.com/google/qkeras.git@master
git clone -b cnn_stream git@github.com:vloncar/hls4ml.git
cd hls4ml
pip install . --user

Now get Vivado through docker

docker exec -it --user `id -u`:`id -g` -e DISPLAY=$DISPLAY hls4ml-test bash
cd /data/myuser/hls4ml_docker/

and run

python3 benchmarkModels.py full.h5
python3 benchmarkModels_qkeras.py quant

To plot accuracy, resources and latency

python3 hls4ml_scans.py