James Betker
06d1c62c5a
iGPT support!
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Sweeeeet
2020-12-03 15:32:21 -07:00
James Betker
1e0f69e34b
extra_conv in gn discriminator, multiframe support in rrdb.
2020-11-29 15:39:50 -07:00
James Betker
f6098155cd
Mods to tecogan to allow use of embeddings as input
2020-11-24 09:24:02 -07:00
James Betker
b10bcf6436
Rework stylegan_for_sr to incorporate structure as an adain block
2020-11-23 11:31:11 -07:00
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
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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
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- 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
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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
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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
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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)
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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
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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
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Experimental loss that peaks around 0.
2020-10-19 11:31:19 -06:00
