Aidan Dempster e0524a6aff Implemented the wandb tracker (#106) ...

Added a base_path parameter to all trackers for storing any local information they need to

2022-05-20 16:39:23 -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

Update decoder dataloader (#105)

2022-05-20 16:38:55 -07:00

__init__.py

unet_number on decoder trainer only needs to be passed in if there is greater than 1 unet, so that unconditional training of a single ddpm is seamless (experiment in progress locally)

2022-05-16 09:17:17 -07:00

cli.py

add missing import (#56)

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

dalle2_pytorch.py

quick fix for @marunine

2022-05-18 20:22:52 -07:00

optimizer.py

default decoder learning rate to what was in the paper

2022-05-16 13:33:54 -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

trackers.py

Implemented the wandb tracker (#106)

2022-05-20 16:39:23 -07:00

trainer.py

update sample, and set default gradient clipping value for decoder training

2022-05-16 17:38:30 -07:00

vqgan_vae_trainer.py

unet_number on decoder trainer only needs to be passed in if there is greater than 1 unet, so that unconditional training of a single ddpm is seamless (experiment in progress locally)

2022-05-16 09:17:17 -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