Commit Graph

1113 Commits

Author SHA1 Message Date
James Betker
3801d5d55e diffusion surfin' 2021-07-06 09:36:52 -06:00
James Betker
afa41f1804 Allow hq color jittering and corruptions that are not included in the corruption factor 2021-06-30 09:44:46 -06:00
James Betker
6fd16ea9c8 Add meta-anomaly detection, colorjitter augmentation 2021-06-29 13:41:55 -06:00
James Betker
46e9f62be0 Add unet with latent guide
This is a diffusion network that uses both a LQ image
and a reference sample HQ image that is compressed into
a latent vector to perform upsampling

The hope is that we can steer the upsampling network
with sample images.
2021-06-26 11:02:58 -06:00
James Betker
0ded106562 Merge remote-tracking branch 'origin/master' 2021-06-25 13:16:28 -06:00
James Betker
a57ed8e960 Various mods to support better jpeg image filtering 2021-06-25 13:16:15 -06:00
James Betker
61e7ca39cd
Update image_folder_dataset.py 2021-06-25 11:48:31 -06:00
James Betker
a0ef07ddb8
Create unet_latent_guide.py 2021-06-25 11:25:14 -06:00
James Betker
e7890dc0ba Misc fixes for diffusion nets 2021-06-21 10:38:07 -06:00
James Betker
8e3a33e001 Fix a bug where non-rank-0 is computing FID before all images are saved. 2021-06-16 16:27:09 -06:00
James Betker
68cbbed886 Add some cool diffusion testing scripts 2021-06-16 16:26:36 -06:00
James Betker
ae8de0cb9d fid saving images across all rank fix 2021-06-15 10:31:07 -06:00
James Betker
6a75bd0777 Another fix 2021-06-14 09:51:44 -06:00
James Betker
54bff35171 Fix issue where eval was not being used by all ddp processes 2021-06-14 09:50:04 -06:00
James Betker
60079a1572 Fix saver in distributed mode 2021-06-14 09:41:06 -06:00
James Betker
545f2db170 Distributed FID dataset across processes 2021-06-14 09:33:44 -06:00
James Betker
6b32c87dcb Try to make diffusion fid more deterministic 2021-06-14 09:27:43 -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
1cd75dfd33 Fix ddp bug 2021-06-13 10:25:23 -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
220f11a5e4 Half channel sizes in cifar_resnet 2021-06-09 17:06:37 -06:00
James Betker
aea12e1b9c Fix cat eval hack 2021-06-09 17:05:11 -06:00
James Betker
9b5f4abb91 Add fade in for hard switch 2021-06-07 18:15:09 -06:00
James Betker
108c5d829c Fix dropout norm 2021-06-07 16:13:23 -06:00
James Betker
438217094c Also debug distribution of switch 2021-06-07 15:36:07 -06:00
James Betker
44b09e5f20 Amplify dropout rate 2021-06-07 15:20:53 -06:00
James Betker
f0d4eb9182 Fixor 2021-06-07 11:58:36 -06:00
James Betker
c456a60466 Another go at fixing nan 2021-06-07 11:51:43 -06:00
James Betker
1c574c5bd1 Attempt to fix nan 2021-06-07 11:43:42 -06:00
James Betker
eda796985b Try out dropout norm 2021-06-07 11:33:33 -06:00
James Betker
6c6e82406e Pass a corruption factor through the dataset into the upsampling network
The intuition is this will help guide the network to make better informed decisions
about how it performs upsampling based on how it perceives the underlying content.

(I'm giving up on letting networks detect their own quality - I'm not convinced it is
actually feasible)
2021-06-07 09:13:54 -06:00
James Betker
2ad2b56438 Don't do wandb except on rank 0 2021-06-06 16:52:07 -06:00
James Betker
7c5478bc2c Formatting issue with gdi 2021-06-06 16:35:37 -06:00
James Betker
061dbcd458 Another fix to anorm 2021-06-06 15:09:49 -06:00
James Betker
9a6991e461 Fix switch norm average 2021-06-06 15:04:28 -06:00
James Betker
57e1a6a0f2 cifar: add hard routing
Also mods switched_routing to support non-pixular inputs
2021-06-06 14:53:43 -06:00
James Betker
692e9c417b Support diffusion unet 2021-06-06 13:57:22 -06:00
James Betker
a0158ebc69 Simplify cifar resnet further for faster training 2021-06-06 10:02:24 -06:00
James Betker
75567a9814 Only head norm removed 2021-06-05 23:29:11 -06:00
James Betker
65d0376b90 Re-add normalization at the tail of the RRDB 2021-06-05 23:04:05 -06:00
James Betker
184e887122 Remove rrdb normalization 2021-06-05 21:39:19 -06:00
James Betker
f5e75602b9 Add regular attention to cifar_resnet 2021-06-05 21:34:07 -06:00
James Betker
16cd92acd5 hack 2021-06-05 14:23:41 -06:00
James Betker
af52751d6b Fix device error 2021-06-05 14:21:32 -06:00
James Betker
5f0cc65f3b Register branched resnet properly 2021-06-05 14:19:03 -06:00
James Betker
fb405d9ef1 CIFAR stuff
- Extract coarse labels for the CIFAR dataset
- Add simple resnet that branches lower layers based on coarse labels
- Some other cleanup
2021-06-05 14:16:02 -06:00
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
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
James Betker
dac7d768fa test uresnet playground mods 2021-01-23 13:46:43 -07:00
James Betker
1b8a26db93 New switched_conv 2021-01-23 13:46:30 -07:00
James Betker
557cdec116 misc 2021-01-23 13:45:17 -07:00
James Betker
d919ae7148 Add VQVAE with no Conv2dTranspose 2021-01-18 08:49:59 -07:00
James Betker
587a4f4050 resnet_unet_3
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
038b8654b6 Pixpro: unwrap losses 2021-01-13 11:54:25 -07:00
James Betker
8990801a3f Fix pixpro stochastic sampling bugs 2021-01-13 11:34:24 -07:00
James Betker
19475a072f Pixpro: Rather than using a latent square for pixpro, use an entirely stochastic sampling of the pixels 2021-01-13 11:26:51 -07:00
James Betker
d1007ccfe7 Adjustments to pixpro to allow training against networks with arbitrarily large structural latents
- The pixpro latent now rescales the latent space instead of using a "coordinate vector", which
   **might** have performance implications.
- The latent against which the pixel loss is computed can now be a small, randomly sampled patch
   out of the entire latent, allowing further memory/computational discounts. Since the loss
   computation does not have a receptive field, this should not alter the loss.
- The instance projection size can now be separate from the pixel projection size.
- PixContrast removed entirely.
- ResUnet with full resolution added.
2021-01-12 09:17:45 -07:00
James Betker
34f8c8641f Support training imagenet classifier 2021-01-11 20:09:16 -07:00
James Betker
f3db381fa1 Allow uresnet to use pretrained resnet50 2021-01-10 12:57:31 -07:00
James Betker
4119cd6240 Fix to image_folder_dataset to accomodate images with mismatched dimensions 2021-01-10 12:57:21 -07:00
James Betker
48f0d8964b Allow dist_backend to be specified in options 2021-01-09 20:54:32 -07:00
James Betker
14a868e8e6 byol playground updates 2021-01-09 20:54:21 -07:00
James Betker
7c6c7a8014 Fix process_video 2021-01-09 20:53:46 -07:00
James Betker
07168ecfb4 Enable vqvae to use a switched_conv variant 2021-01-09 20:53:14 -07:00
James Betker
41b7d50944 Update extract_square_images 2021-01-08 13:16:34 -07:00
James Betker
5a8156026a Did anyone ask for k-means clustering?
This is so cool...
2021-01-07 22:37:41 -07:00
James Betker
acf1535b14 Fix for randomresizedcrop injector 2021-01-07 16:31:43 -07:00
James Betker
659814c20f BYOL script updates 2021-01-07 16:31:28 -07:00
James Betker
de10c7246a Add injected noise into bypass maps 2021-01-07 16:31:12 -07:00
James Betker
04961b91cf Add random-crop injector 2021-01-07 12:14:55 -07:00
James Betker
61a86a3c1e VQVAE 2021-01-07 10:20:15 -07:00
James Betker
01a589e712 Adjustments to pixpro & resnet-unet
I'm not really satisfied with what I got out of these networks on round 1.
Lets try again..
2021-01-06 15:00:46 -07:00
James Betker
9680294430 Move byol scripts around 2021-01-06 14:52:17 -07:00
James Betker
2f2f87bbea Styled SR fixes 2021-01-05 20:14:39 -07:00
James Betker
9fed90393f Add lucidrains pixpro trainer 2021-01-05 20:14:22 -07:00
James Betker
39a94c74b5 Allow BYOL resnet playground to produce a latent dict 2021-01-04 20:11:29 -07:00
James Betker
ade2732c82 Transfer learning for styleSR
This is a concept from "Lifelong Learning GAN", although I'm skeptical of it's novelty -
basically you scale and shift the weights for the generator and discriminator of a pretrained
GAN to "shift" into new modalities, e.g. faces->birds or whatever. There are some interesting
applications of this that I would like to try out.
2021-01-04 20:10:48 -07:00
James Betker
2c65b6b28e More mods to support styledsr 2021-01-04 11:32:28 -07:00
James Betker
2225fe6ac2 Undo lucidrains changes for new discriminator
This "new" code will live in the styledsr directory from now on.
2021-01-04 10:57:09 -07:00
James Betker
40ec71da81 Move styled_sr into its own folder 2021-01-04 10:54:34 -07:00
James Betker
5916f5f7d4 Misc fixes 2021-01-04 10:53:53 -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
5e7ade0114 ImageFolderDataset - corrupt lq images alongside each other 2021-01-03 16:36:38 -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
7976a5825d srfid is incorrectly labeled 2021-01-01 13:00:59 -07:00
James Betker
f39179e85a styled_sr: fix bug when using initial_stride 2021-01-01 12:13:21 -07:00
James Betker
913fc3b75e Need init to pick up styled_sr 2021-01-01 12:10:32 -07:00
James Betker
aae65e6ed8 Mods to byol_resnet_playground for large batches 2021-01-01 11:59:54 -07:00
James Betker
e992e18767 Add initial_stride term to style_sr
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
e214e6ce33 Styled SR model 2020-12-31 20:54:18 -07:00
James Betker
0eb1f4dd67 Revert "Get rid of CUDA_VISIBLE_DEVICES"
It is actually necessary for training in distributed mode. Only
do it then.
2020-12-31 10:31:40 -07:00
James Betker
8de5a02a48 byol_resnet_playground
Similar to the spinenet playground, but tinkers with resnet instead
2020-12-31 10:15:04 -07:00
James Betker
8f18b2709e Get rid of CUDA_VISIBLE_DEVICES
It is not clear to me what the purpose of this is, but it has recently
started causing failures.
2020-12-31 10:13:58 -07:00
James Betker
1de1fa30ac Disable refs and centers altogether in single_image_dataset
I suspect that this might be a cause of failures on parallel datasets.
Plus it is unnecessary computation.
2020-12-31 10:13:24 -07:00
James Betker
8f0984cacf Add sr_fid evaluator 2020-12-30 20:18:58 -07:00
James Betker
b1fb82476b Add gp debug (fix) 2020-12-30 15:26:54 -07:00