James Betker
45bc76ba92
Fixes and mods to support training classifiers on imagenet
2021-06-01 17:25:24 -06:00
James Betker
119f17c808
Add testing capabilities for segformer & contrastive feature
2021-04-27 09:59:50 -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
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:
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- 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
320edbaa3c
Move switched_conv logic around a bit
2021-02-02 20:41:24 -07:00
James Betker
0dca36946f
Hard Routing mods
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- 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
97d895aebe
Add SrPixLoss, which focuses pixel-based losses on high-frequency regions
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of the image.
2021-01-25 08:26:14 -07:00
James Betker
587a4f4050
resnet_unet_3
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I'm being really lazy here - these nets are not really different from each other
except at which layer they terminate. This one terminates at 2x downsampling,
which is simply indicative of a direction I want to go for testing these pixpro networks.
2021-01-15 14:51:03 -07:00
James Betker
34f8c8641f
Support training imagenet classifier
2021-01-11 20:09:16 -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
acf1535b14
Fix for randomresizedcrop injector
2021-01-07 16:31:43 -07:00
James Betker
04961b91cf
Add random-crop injector
2021-01-07 12:14:55 -07:00
James Betker
2c65b6b28e
More mods to support styledsr
2021-01-04 11:32:28 -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
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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
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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
7976a5825d
srfid is incorrectly labeled
2021-01-01 13:00:59 -07:00
James Betker
e992e18767
Add initial_stride term to style_sr
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Also fix fid and a networks.py issue.
2021-01-01 11:59:36 -07:00
James Betker
9864fe4c04
Fix for train.py
2021-01-01 11:59:00 -07:00
James Betker
8f0984cacf
Add sr_fid evaluator
2020-12-30 20:18:58 -07:00
James Betker
9c53314ea2
Add gradient penalty visual debug
2020-12-30 09:51:59 -07:00
James Betker
63cf3d3126
Injector auto-registration
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I love it!
2020-12-29 20:58:02 -07:00
James Betker
a777c1e4f9
Misc script fixes
2020-12-29 20:25:09 -07:00
James Betker
3fd627fc62
Mods to support image classification & filtering
2020-12-26 13:49:27 -07:00
James Betker
10fdfa1563
Migrate generators to dynamic model registration
2020-12-24 23:02:10 -07:00
James Betker
29db7c7a02
Further mods to BYOL
2020-12-24 09:28:41 -07:00
James Betker
036684893e
Add LARS optimizer & support for BYOL idiosyncrasies
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- 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
1bbcb96ee8
Implement a few changes to support training BYOL networks
2020-12-23 10:50:23 -07:00
James Betker
f35c034fa5
Add trainer readme
2020-12-18 16:52:16 -07:00
James Betker
92f9a129f7
GLEAN!
2020-12-18 16:04:19 -07:00
James Betker
d875ca8342
More refactor changes
2020-12-18 09:24:31 -07:00
James Betker
5640e4efe4
More refactoring
2020-12-18 09:18:34 -07:00