Phil Wang f82917e1fd prepare for turning off gradient penalty, as shown in GAN literature, GP needs to be only applied 1 out of 4 iterations

2022-04-23 07:52:10 -07:00

..

data

bring in the simple tokenizer released by openai, but also plan on leaving room for custom tokenizer with yttm

2022-04-12 09:23:17 -07:00

__init__.py

refactor blurring training augmentation to be taken care of by the decoder, with option to downsample to previous resolution before upsampling (cascading ddpm). this opens up the possibility of cascading latent ddpm

2022-04-22 11:09:17 -07:00

cli.py

give time tokens a surface area of 2 tokens as default, make it so researcher can customize which unet actually is conditioned on image embeddings and/or text encodings

2022-04-20 10:04:47 -07:00

dalle2_pytorch.py

use null container pattern to cleanup some conditionals, save more cleanup for next week

2022-04-22 15:23:18 -07:00

tokenizer.py

bring in the simple tokenizer released by openai, but also plan on leaving room for custom tokenizer with yttm

2022-04-12 09:23:17 -07:00

train.py

get ready for all the training related classes and functions

2022-04-12 09:54:50 -07:00

vqgan_vae.py

prepare for turning off gradient penalty, as shown in GAN literature, GP needs to be only applied 1 out of 4 iterations

2022-04-23 07:52:10 -07:00