Phil Wang f75d49c781 start a file for all attention-related modules, use attention-based upsampling in the unets in dalle-2

2022-04-25 18:59:10 -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

attention.py

start a file for all attention-related modules, use attention-based upsampling in the unets in dalle-2

2022-04-25 18:59:10 -07:00

cli.py

some outlines to the eventual CLI endpoint

2022-04-24 09:27:15 -07:00

dalle2_pytorch.py

start a file for all attention-related modules, use attention-based upsampling in the unets in dalle-2

2022-04-25 18:59:10 -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

start a file for all attention-related modules, use attention-based upsampling in the unets in dalle-2

2022-04-25 18:59:10 -07:00