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aljaz/DALLE2-pytorch
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mirror of https://github.com/lucidrains/DALLE2-pytorch.git synced 2026-01-29 04:44:22 +01:00
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9549bd43b741bda5e318239fb5e4397d528e8757
DALLE2-pytorch/dalle2_pytorch
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Phil Wang 9549bd43b7 backwards pass is not recommended under the autocast context, per pytorch docs
2022-05-14 18:20:48 -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
backwards pass is not recommended under the autocast context, per pytorch docs
2022-05-14 18:20:48 -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
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