aljaz/DALLE2-pytorch
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final reminder

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Phil Wang
2022-05-03 08:18:53 -07:00
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@@ -821,7 +821,7 @@ Once built, images will be saved to the same directory the command is invoked
- [x] just take care of the training for the decoder in a wrapper class, as each unet in the cascade will need its own optimizer
- [x] bring in tools to train vqgan-vae
- [x] add convnext backbone for vqgan-vae (in addition to vit [vit-vqgan] + resnet)
- [ ] become an expert with unets, cleanup unet code, make it fully configurable, port all learnings over to https://github.com/lucidrains/x-unet
- [ ] become an expert with unets, cleanup unet code, make it fully configurable, port all learnings over to https://github.com/lucidrains/x-unet (test out unet² in ddpm repo)
- [ ] copy the cascading ddpm code to a separate repo (perhaps https://github.com/lucidrains/denoising-diffusion-pytorch) as the main contribution of dalle2 really is just the prior network
- [ ] transcribe code to Jax, which lowers the activation energy for distributed training, given access to TPUs
- [ ] pull logic for training diffusion prior into a class DiffusionPriorTrainer, for eventual script based + CLI based training