Commit Graph

65 Commits

Author SHA1 Message Date
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