README.md

Environment Setup

If the environment clpy38 is not created already, create environment using anaconda

conda env create -f ../environment.yml

Otherwise, run the following line to activate the environment

conda activate clpy38

Training autoencoder

Following is an example command to train the autoencoder on CIFAR 100 on 2 GPUS

CUDA_VISIBLE_DEVICES=0,1 python autoenc_incr_main.py --outfile=results/autoenc_100cls_single.csv --lexp_len=500 --img_size=32 --total_classes=100 --num_iters=100 --num_epoch=250 --num_classes=1