Phil Wang 5fff22834e be able to finely customize learning parameters for each unet, take care of gradient clipping

2022-04-30 11:56:05 -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

simplify Decoder training for the public

2022-04-30 11:45:18 -07:00

cli.py

some outlines to the eventual CLI endpoint

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

dalle2_pytorch.py

simplify Decoder training for the public

2022-04-30 11:45:18 -07:00

optimizer.py

now completely OpenAI CLIP compatible for training

2022-04-29 13:05:01 -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

be able to finely customize learning parameters for each unet, take care of gradient clipping

2022-04-30 11:56:05 -07:00

vqgan_vae.py

vqgan-vae codebook dims should be 256 or smaller

2022-04-28 08:59:03 -07:00