Phil Wang b0cd5f24b6 take care of gradient accumulation automatically for researchers, by passing in a max_batch_size on the decoder or diffusion prior trainer forward

2022-05-14 17:04:09 -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

dataloaders

Add a dataloader for training the decoder (#57)

2022-05-05 07:08:45 -07:00

__init__.py

some cleanup

2022-05-09 16:50:21 -07:00

cli.py

add missing import (#56)

2022-05-04 07:42:20 -07:00

dalle2_pytorch.py

normalize conditioning tokens outside of cross attention blocks

2022-05-14 14:23:52 -07:00

optimizer.py

be able to customize adam eps

2022-05-14 13:55:04 -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_vqgan_vae.py

make sure vqgan-vae trainer supports mixed precision

2022-05-06 10:44:16 -07:00

train.py

take care of gradient accumulation automatically for researchers, by passing in a max_batch_size on the decoder or diffusion prior trainer forward

2022-05-14 17:04:09 -07:00

vqgan_vae.py

remove convnext blocks, they are illsuited for generative work, validated by early experimental results at https://github.com/lucidrains/video-diffusion-pytorch

2022-05-05 07:07:21 -07:00