Published August 20, 2020
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Keras model and weights for GarNet-on-FPGA
Description
Source code and input weights data for GarNet-on-FPGA
This repository contains the Keras layer and model files for the simultaneous regression and classification task described in arXiv:2008.03601. Dataset in 10.5281/zenodo.3888910 can be fed into the training script (train.py) to reproduce the results in the paper. The GarNet layer file (garnet.py) is a partial copy from the original at commit 6d1127d.
The hls4ml configuration and weights files for the "continuous" and "quantized" models in the paper (Vmax = 128) are also packaged together in the tarball hls4ml_inputs.tar.gz. HLS workspaces can be created from the input files with hls4ml version > v0.3.0 (commit e86c103 and later)
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Additional details
Related works
- Is cited by
- Preprint: arXiv:2008.03601 (arXiv)
- Is derived from
- Software: https://github.com/jkiesele/caloGraphNN (URL)
- References
- Dataset: 10.5281/zenodo.3888910 (DOI)