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28 Commits

Author SHA1 Message Date
James Betker
3e073cff85 Set kernel_size in diffusion_vocoder 2021-09-01 08:33:46 -06:00
James Betker
04d14b3acc No batch factors for eval 2021-08-09 16:02:01 -06:00
James Betker
82fc69abfa Add "pure" evaluator 
Which simply computes the training loss against an eval dataset
 2021-08-09 14:58:35 -06:00
James Betker
1ff434218e tacotron2, ready for prime time! 2021-07-08 22:13:44 -06:00
James Betker
6fd16ea9c8 Add meta-anomaly detection, colorjitter augmentation 2021-06-29 13:41:55 -06:00
James Betker
5b4f86293f Add FID evaluator for diffusion models 2021-06-14 09:14:30 -06:00
James Betker
9cfe840872 Attempt to fix syncing multiple times when doing gradient accumulation 2021-06-13 14:30:30 -06:00
James Betker
3e3ad7825f Add support for training an EMA network alongside the main networks 2021-06-12 21:01:41 -06:00
James Betker
696f320820 Get rid of feature networks 2021-06-11 20:50:07 -06:00
James Betker
65c474eecf Various changes to fix testing 2021-06-11 15:31:10 -06:00
James Betker
2ad2b56438 Don't do wandb except on rank 0 2021-06-06 16:52:07 -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
17555e7d07 misc adjustments for stylegan 2021-04-21 18:14:17 -06:00
James Betker
f89ea5f1c6 Mods to support lightweight_gan model 2021-03-02 20:51:48 -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
48f0d8964b Allow dist_backend to be specified in options 2021-01-09 20:54:32 -07:00
James Betker
7c6c7a8014 Fix process_video 2021-01-09 20:53:46 -07:00
James Betker
4d8064c32c Modifications to allow partially trained stylegan discriminators to be used 2021-01-03 16:37:18 -07:00
James Betker
ce6524184c Do the last commit but in a better way 2021-01-02 22:24:12 -07:00
James Betker
edf9c38198 Make ExtensibleTrainer set the starting step for the LR scheduler 2021-01-02 22:22:34 -07:00
James Betker
bdbab65082 Allow optimizers to train separate param groups, add higher dimensional VGG discriminator 
Did this to support training 512x512px networks off of a pretrained 256x256 network.
 2021-01-02 15:10:06 -07:00
James Betker
193cdc6636 Move discriminators to the create_model paradigm 
Also cleans up a lot of old discriminator models that I have no intention
of using again.
 2021-01-01 15:56:09 -07:00
James Betker
9c53314ea2 Add gradient penalty visual debug 2020-12-30 09:51:59 -07:00
James Betker
63cf3d3126 Injector auto-registration 
I love it!
 2020-12-29 20:58:02 -07:00
James Betker
10fdfa1563 Migrate generators to dynamic model registration 2020-12-24 23:02:10 -07:00
James Betker
036684893e Add LARS optimizer & support for BYOL idiosyncrasies 
- Added LARS and SGD optimizer variants that support turning off certain
  features for BN and bias layers
- Added a variant of pytorch's resnet model that supports gradient checkpointing.
- Modify the trainer infrastructure to support above
- Fix bug with BYOL (should have been nonfunctional)
 2020-12-23 20:33:43 -07:00
James Betker
5640e4efe4 More refactoring 2020-12-18 09:18:34 -07:00