Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (ICLR 2020)
MIT License
6.17k
stars
1.04k
forks
source link
"tf.errors.InvalidArgumentError" Occured while running with "--ch 16 --img_size 64" #40
Everything works well with default arguments, but training time seems too long on my GPU.
I attempted to use
"--ch 16 --img_size 64 --"
arguments and create a smaller model, but error occured while building model.Any ideas about create a tiny model? Thanks a lot.