Commit Graph

1142 Commits

Author SHA1 Message Date
James Betker
80d4404367 A few fixes:
- Output better prediction of xstart from eps
- Support LossAwareSampler
- Support AdamW
2021-06-05 13:40:32 -06:00
James Betker
fa908a6a15 Fix wandb import issue 2021-06-04 23:27:15 -06:00
James Betker
103a88506e Log eval to wandb 2021-06-04 23:23:20 -06:00
James Betker
7d45132f60 fdsa 2021-06-04 21:26:54 -06:00
James Betker
6c8c8087d5 asdf 2021-06-04 21:24:48 -06:00
James Betker
e6c537824a Allow validation for ce 2021-06-04 21:21:04 -06:00
James Betker
7c251af7a8 Support cifar100 with resnet 2021-06-04 17:29:07 -06:00
James Betker
bf811f80c1 GD mods & fixes
- Report variational loss separately
- Report model prediction from injector
- Log these things
- Use respacing like guided diffusion
2021-06-04 17:13:16 -06:00
James Betker
6084915af8 Support gaussian diffusion models
Adds support for GD models, courtesy of some maths from openai.

Also:
- Fixes requirement for eval{} even when it isn't being used
- Adds support for denormalizing an imagenet norm
2021-06-02 21:47:32 -06:00
James Betker
45bc76ba92 Fixes and mods to support training classifiers on imagenet 2021-06-01 17:25:24 -06:00
James Betker
f129eaa39e Clean up byol a bit
- Remove option to aug in dataset (there's really no reason for this now that kornia works on GPU on windows)
- Other stufff
2021-05-24 21:35:46 -06:00
James Betker
6649ef2dae Add zipfilesdataset 2021-05-24 21:35:00 -06:00
James Betker
1a2b9fa130 Get rid of old byol net wrapping
Simplifies and makes this usable with DLAS' multi-gpu trainer
2021-04-27 12:48:34 -06:00
James Betker
119f17c808 Add testing capabilities for segformer & contrastive feature 2021-04-27 09:59:50 -06:00
James Betker
eab8546f73 Add reference config for segformer 2021-04-25 11:46:51 -06:00
James Betker
9bbe6fc81e Get segformer to a trainable state 2021-04-25 11:45:20 -06:00
James Betker
23e01314d4 Add dataset, ui for labeling and evaluator for pointwise classification 2021-04-23 17:17:13 -06:00
James Betker
fc623d4b5a Add segformer model. Start work on BYOL adaptation that will support training it. 2021-04-23 17:16:46 -06:00
James Betker
17555e7d07 misc adjustments for stylegan 2021-04-21 18:14:17 -06:00
James Betker
b687ef4cd0 Misc 2021-04-21 18:09:46 -06:00
James Betker
94e069bced Misc changes 2021-03-13 10:45:26 -07:00
James Betker
9fc3df3f5b Switched conv: add conversion function with allowlist 2021-03-13 10:44:56 -07:00
James Betker
cf9a6da889 Fix some bugs, checkin work on vqvae3 2021-03-02 20:56:19 -07:00
James Betker
f89ea5f1c6 Mods to support lightweight_gan model 2021-03-02 20:51:48 -07:00
James Betker
543d459b4e extract_temporal_squares script
For extracting related patches across a video
2021-02-08 08:10:24 -07:00
James Betker
39fd755baa New benchmark numbers 2021-02-08 08:09:41 -07:00
James Betker
784b96c059 Misc options to add support for training stylegan2-rosinality models:
- Allow image_folder_dataset to normalize inbound images
- ExtensibleTrainer can denormalize images on the output path
- Support .webp - an output from LSUN
- Support logistic GAN divergence loss
- Support stylegan2 TF weight extraction for discriminator
- New injector that produces latent noise (with separated paths)
- Modify FID evaluator to be operable with rosinality-style GANs
2021-02-08 08:09:21 -07:00
James Betker
e7be4bdff3 Revert 2021-02-05 08:43:07 -07:00
James Betker
6dec1f5968 Back to groupnorm 2021-02-05 08:42:11 -07:00
James Betker
336f807c8e lambda2 2021-02-05 00:00:24 -07:00
James Betker
025a5867c4 Use syncbatchnorm instead 2021-02-04 22:26:36 -07:00
James Betker
bb79fafb89 Fix groupnorm specification 2021-02-04 22:15:38 -07:00
James Betker
43da1f9c4b Convert lambda coupler to use groupnorm instead of batchnorm 2021-02-04 21:59:44 -07:00
James Betker
7070142805 Make vqvae3_hard more configurable 2021-02-04 09:03:22 -07:00
James Betker
b980028ca8 Add get_debug_values for vqvae_3_hardswitch 2021-02-03 14:12:24 -07:00
James Betker
1405ff06b8 Fix SwitchedConvHardRoutingFunction for current cuda router 2021-02-03 14:11:55 -07:00
James Betker
d7bec392dd ... 2021-02-02 23:50:25 -07:00
James Betker
b0a8fa00bc Visual dbg in vqvae3hs 2021-02-02 23:50:01 -07:00
James Betker
f5f91850fd hardswitch variant of vqvae3 2021-02-02 21:00:04 -07:00
James Betker
320edbaa3c Move switched_conv logic around a bit 2021-02-02 20:41:24 -07:00
James Betker
0dca36946f Hard Routing mods
- Turns out my custom convolution was RIDDLED with backwards bugs, which is
   why the existing implementation wasn't working so well.
- Implements the switch logic from both Mixture of Experts and Switch Transformers
  for testing purposes.
2021-02-02 20:35:58 -07:00
James Betker
29c1c3bede Register vqvae3 2021-01-29 15:26:28 -07:00
James Betker
bc20b4739e vqvae3
Changes VQVAE as so:
- Reverts back to smaller codebook
- Adds an additional conv layer at the highest resolution for both the encoder & decoder
- Uses LeakyReLU on trunk
2021-01-29 15:24:26 -07:00
James Betker
96bc80313c Add switch norm, up dropout rate, detach selector 2021-01-26 09:31:53 -07:00
James Betker
97d895aebe Add SrPixLoss, which focuses pixel-based losses on high-frequency regions
of the image.
2021-01-25 08:26:14 -07:00
James Betker
2cdac6bd09 Add PWCNet for human optical flow 2021-01-25 08:25:44 -07:00
James Betker
51b63b2aa6 Add switched_conv with hard routing and make vqvae use it. 2021-01-25 08:25:29 -07:00
James Betker
ae4ff4a1e7 Enable lambda visualization 2021-01-23 15:53:27 -07:00
James Betker
10ec6bda1d lambda nets in switched_conv and a vqvae to use it 2021-01-23 14:57:57 -07:00
James Betker
b374dcdd46 update vqvae to double codebook size for bottom quantizer 2021-01-23 13:47:07 -07:00