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Author SHA1 Message Date
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
197d19714f vqvae docs (unfinished) 2021-01-07 16:31:57 -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