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128 Commits

Author SHA1 Message Date
James Betker
5ccdbcefe3 srflow_orig integration 2020-11-19 23:47:24 -07:00
James Betker
d7877d0a36 Fixes to teco losses and translational losses 2020-11-19 11:35:05 -07:00
James Betker
6b679e2b51 Make grad_penalty available to classical discs 2020-11-17 18:31:40 -07:00
James Betker
931ed903c1 Allow combined additive loss 2020-11-15 16:16:18 -07:00
James Betker
98eada1e4c More circular dependency fixes + unet fixes 2020-11-15 11:53:35 -07:00
James Betker
99f0cfaab5 Rework stylegan2 divergence losses 
Notably: include unet loss
 2020-11-15 11:26:44 -07:00
James Betker
5cade6b874 Move stylegan2 around, bring in unet 2020-11-14 22:04:48 -07:00
James Betker
3397c83447 Merge remote-tracking branch 'origin/gan_lab' into gan_lab 2020-11-14 09:30:09 -07:00
James Betker
f406a5dd4c Mods to support stylegan2 in SR mode 2020-11-13 20:11:50 -07:00
James Betker
9c3d0b7560 Merge remote-tracking branch 'origin/gan_lab' into gan_lab 2020-11-13 20:10:47 -07:00
James Betker
67bf55495b Allow hq_batched_key to be specified 2020-11-13 20:10:12 -07:00
James Betker
0b96811611 Fix another issue with gpu ids getting thrown all over hte place 2020-11-13 20:05:52 -07:00
James Betker
566b99ca75 GP adjustments for stylegan2 2020-11-12 16:44:51 -07:00
James Betker
2d3449d7a5 stylegan2 in ml art school! 2020-11-12 15:42:05 -07:00
James Betker
b742d1e5a5 When skipping steps via "every", still run nontrainable injection points 2020-11-10 16:09:17 -07:00
James Betker
fd6cdba88f RRDB with latent 2020-11-05 10:04:17 -07:00
James Betker
df47d6cbbb More work in support of training flow networks in tandem with generators 2020-11-04 18:07:48 -07:00
James Betker
658a267bab More work on SSIM/PSNR approximators 
- Add a network that accomodates this style of approximator while retaining structure
- Migrate to SSIM approximation
- Add a tool to visualize how these approximators are working
- Fix some issues that came up while doign this work
 2020-11-03 08:09:58 -07:00
James Betker
a51daacde2 Fix reporting of d_fake_diff for generators 2020-11-02 08:45:46 -07:00
James Betker
eb7df63592 Merge remote-tracking branch 'origin/gan_lab' into gan_lab 2020-10-31 11:09:32 -06:00
James Betker
c2866ad8d2 Disable debugging of comparable pingpong generations 2020-10-31 11:09:10 -06:00
James Betker
7303d8c932 Add psnr approximator 2020-10-31 11:08:55 -06:00
James Betker
74738489b9 Fixes and additional support for progressive zoom 2020-10-30 09:59:54 -06:00
James Betker
a3918fa808 Tecogan & other fixes 2020-10-30 00:19:58 -06:00
James Betker
b316078a15 Fix tecogan_losses fp16 2020-10-29 23:02:20 -06:00
James Betker
1655b9e242 Fix fast_forward teco loss bug 2020-10-28 17:49:54 -06:00
James Betker
515905e904 Add a min_loss that is DDP compatible 2020-10-28 15:46:59 -06:00
James Betker
2ab5054d4c Add noise to teco disc 2020-10-27 22:48:23 -06:00
James Betker
4dc16d5889 Upgrade tecogan_losses for speed 2020-10-27 22:40:15 -06:00
James Betker
ac3da0c5a6 Make tecogen functional 2020-10-27 21:08:59 -06:00
James Betker
da53090ce6 More adjustments to support distributed training with teco & on multi_modal_train 2020-10-27 20:58:03 -06:00
James Betker
2a3eec8fd7 Fix some distributed training snafus 2020-10-27 15:24:05 -06:00
James Betker
54accfa693 Merge remote-tracking branch 'origin/gan_lab' into gan_lab 2020-10-26 11:12:37 -06:00
James Betker
ff58c6484a Fixes to unified chunk datasets to support stereoscopic training 2020-10-26 11:12:22 -06:00
James Betker
f857eb00a8 Allow tecogan losses to compute at 32px 2020-10-26 11:09:55 -06:00
James Betker
9c3d059ef0 Updates to be able to train flownet2 in ExtensibleTrainer 
Only supports basic losses for now, though.
 2020-10-24 11:56:39 -06:00
James Betker
e9c0b9f0fd More adjustments to support multi-modal training 
Specifically - looks like at least MSE loss cannot handle autocasted tensors
 2020-10-22 16:49:34 -06:00
James Betker
76789a456f Class-ify train.py and workon multi-modal trainer 2020-10-22 16:15:31 -06:00
James Betker
15e00e9014 Finish integration with autocast 
Note: autocast is broken when also using checkpoint(). Overcome this by modifying
torch's checkpoint() function in place to also use autocast.
 2020-10-22 14:39:19 -06:00
James Betker
d7ee14f721 Move to torch.cuda.amp (not working) 
Running into OOM errors, needs diagnosing. Checkpointing here.
 2020-10-22 13:58:05 -06:00
James Betker
3e3d2af1f3 Add multi-modal trainer 2020-10-22 13:27:32 -06:00
James Betker
43c4f92123 Collapse progressive zoom candidates into the batch dimension 
This contributes a significant speedup to training this type of network
since losses can operate on the entire prediction spectrum at once.
 2020-10-21 22:37:23 -06:00
James Betker
680d635420 Enable ExtensibleTrainer to skip steps when state keys are missing 2020-10-21 22:22:28 -06:00
James Betker
d1175f0de1 Add FFT injector 2020-10-21 22:22:00 -06:00
James Betker
931aa65dd0 Allow recurrent losses to be weighted 2020-10-21 16:59:44 -06:00
James Betker
b28e4d9cc7 Add spread loss 
Experimental loss that peaks around 0.
 2020-10-19 11:31:19 -06:00
James Betker
668cafa798 Push correct patch of recurrent embedding to upstream image, rather than whole thing 2020-10-18 22:39:52 -06:00
James Betker
7df378a944 Remove separated vgg discriminator 
Checkpointing happens inline instead. Was a dumb idea..

Also fixes some loss reporting issues.
 2020-10-18 12:10:24 -06:00
James Betker
c709d38cd5 Fix memory leak with recurrent loss 2020-10-18 10:22:10 -06:00
James Betker
552e70a032 Get rid of excessive checkpointed disc params 2020-10-18 10:09:37 -06:00