# Code for the paper Quantized Optimistic Dual Averaging with Adaptive Layer-wise Compression.

The training code is a modified version of [ this repo by Gidel et al.](https://github.com/GauthierGidel/Variational-Inequality-GAN), with the vendored [torch_cgx](./torch_cgx) version being included since the currently public version uses a different API (we are working on releasing a version which uses this new API and will include improved quantization as well).

The script for running the experiment is `dist_mpi_launch.sh` and `train_extraadam.py`
