James Betker
1e0d7be3ce
"Clean up" SRFlow
2020-11-19 21:42:24 -07:00
James Betker
d7877d0a36
Fixes to teco losses and translational losses
2020-11-19 11:35:05 -07:00
James Betker
5c10264538
Remove pyramid_disc hard dependencies
2020-11-17 18:34:11 -07:00
James Betker
6b679e2b51
Make grad_penalty available to classical discs
2020-11-17 18:31:40 -07:00
James Betker
8a19c9ae15
Add additive mode to rrdb
2020-11-16 20:45:09 -07:00
James Betker
2a507987df
Merge remote-tracking branch 'origin/gan_lab' into gan_lab
2020-11-15 16:16:30 -07:00
James Betker
931ed903c1
Allow combined additive loss
2020-11-15 16:16:18 -07:00
James Betker
4b68116977
import fix
2020-11-15 16:15:42 -07:00
James Betker
98eada1e4c
More circular dependency fixes + unet fixes
2020-11-15 11:53:35 -07:00
James Betker
e587d549f7
Fix circular imports
2020-11-15 11:32:35 -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
ea94b93a37
Fixes for unet
2020-11-15 10:38:33 -07:00
James Betker
89f56b2091
Fix another import
2020-11-14 22:10:45 -07:00
James Betker
9af049c671
Import fix for unet
2020-11-14 22:09:18 -07:00
James Betker
5cade6b874
Move stylegan2 around, bring in unet
2020-11-14 22:04:48 -07:00
James Betker
125cb16dce
Add a FID evaluator for stylegan with structural guidance
2020-11-14 20:16:07 -07:00
James Betker
c9258e2da3
Alter how structural guidance is given to stylegan
2020-11-14 20:15:48 -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
423ee7cb90
Allow attention to be specified for stylegan2
2020-11-14 09:29:53 -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
a07e1a7292
Add separate Evaluator module and FID evaluator
2020-11-13 11:03:54 -07:00
James Betker
080ad61be4
Add option to work with nonrandom latents
2020-11-12 21:23:50 -07:00
James Betker
566b99ca75
GP adjustments for stylegan2
2020-11-12 16:44:51 -07:00
James Betker
44a19cd37c
ExtensibleTrainer mods to support advanced checkpointing for stylegan2
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Basically: stylegan2 makes use of gradient-based normalizers. These
make it so that I cannot use gradient checkpointing. But I love gradient
checkpointing. It makes things really, really fast and memory conscious.
So - only don't checkpoint when we run the regularizer loss. This is a
bit messy, but speeds up training by at least 20%.
Also: pytorch: please make checkpointing a first class citizen.
2020-11-12 15:45:07 -07:00
James Betker
db9e9e28a0
Fix an issue where GPU0 was always being used in non-ddp
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Frankly, I don't understand how this has ever worked. WTF.
2020-11-12 15:43:01 -07:00
James Betker
2d3449d7a5
stylegan2 in ml art school!
2020-11-12 15:42:05 -07:00
James Betker
fd97573085
Fixes
2020-11-11 21:49:06 -07:00
James Betker
88f349bdf1
Enable usage of wandb
2020-11-11 21:48:56 -07:00
James Betker
1c065c41b4
Revert "..."
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This reverts commit 4b92191880
.
2020-11-11 17:24:27 -07:00
James Betker
4b92191880
...
2020-11-11 14:12:40 -07:00
James Betker
12b57bbd03
Add residual blocks to pyramid disc
2020-11-11 13:56:45 -07:00
James Betker
b4136d766a
Back to pyramids, no rrdb
2020-11-11 13:40:24 -07:00
James Betker
42a97de756
Convert PyramidRRDBDisc to RRDBDisc
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Had numeric stability issues. This probably makes more sense anyways.
2020-11-11 12:14:14 -07:00
James Betker
72762f200c
PyramidRRDB net
2020-11-11 11:25:49 -07:00
James Betker
a1760f8969
Adapt srg2 for video
2020-11-10 16:16:41 -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
91d27372e4
rrdb with adain latent
2020-11-10 16:08:54 -07:00
James Betker
6a2fd5f7d0
Lots of new discriminator nets
2020-11-10 16:06:54 -07:00
James Betker
4e5ba61ae7
SRG2classic further re-integration
2020-11-10 16:06:14 -07:00
James Betker
9e2c96ad5d
More latent work
2020-11-07 20:38:56 -07:00
James Betker
0cf52ef52c
latent work
2020-11-06 20:38:23 -07:00
James Betker
34d319585c
Add srflow arch
2020-11-06 20:38:04 -07:00
James Betker
4469d2e661
More work on RRDB with latent
2020-11-05 22:13:05 -07:00
James Betker
62d3b6496b
Latent work checkpoint
2020-11-05 13:31:34 -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
dcfe994fee
Add standalone srg2_classic
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Trying to investigate how I was so misguided. I *thought* srg2 was considerably
better than RRDB in performance but am not actually seeing that.
2020-10-31 20:55:34 -06:00
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
565517814e
Restore SRG2
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Going to try to figure out where SRG lost competitiveness to RRDB..
2020-10-30 14:01:56 -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
3791f95ad0
Enable RRDB to take in reference inputs
2020-10-29 11:07:40 -06:00
James Betker
7d38381d46
Add scaling to rrdb
2020-10-29 09:48:10 -06:00
James Betker
607ff3c67c
RRDB with bypass
2020-10-29 09:39:45 -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
f133243ac8
Extra logging for teco_resgen
2020-10-28 15:21:22 -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
10da206db6
Merge remote-tracking branch 'origin/gan_lab' into gan_lab
2020-10-27 20:59:59 -06:00
James Betker
9848f4c6cb
Add teco_resgen
2020-10-27 20:59:55 -06:00
James Betker
543c384a91
Merge remote-tracking branch 'origin/gan_lab' into gan_lab
2020-10-27 20:59:16 -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
00bb568956
further checkpointify spsr_arch
2020-10-27 17:54:28 -06:00
James Betker
c2727a0150
Merge remote-tracking branch 'origin/gan_lab' into gan_lab
2020-10-27 15:24:19 -06:00
James Betker
2a3eec8fd7
Fix some distributed training snafus
2020-10-27 15:24:05 -06:00
James Betker
d923a62ed3
Allow SPSR to checkpoint
2020-10-27 15:23:20 -06:00
James Betker
11a9e223a6
Retrofit SPSR_arch so it is capable of accepting a ref
2020-10-27 11:14:36 -06:00
James Betker
8202ee72b9
Re-add original SPSR_arch
2020-10-27 11:00:38 -06:00
James Betker
231137ab0a
Revert RRDB back to original model
2020-10-27 10:25:31 -06:00
James Betker
1ce863849a
Remove temporary base_model change
2020-10-26 11:13:01 -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
629b968901
ChainedGen 4x alteration
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Increases conv window for teco_recurrent in the 4x case so all data
can be used.
base_model changes should be temporary.
2020-10-26 10:54:51 -06:00
James Betker
85c07f85d9
Update flownet submodule
2020-10-24 11:59:00 -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
1dbcbfbac8
Restore ChainedEmbeddingGenWithStructure
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Still using this guy, after all
2020-10-24 11:54:52 -06:00
James Betker
7a75d10784
Arch cleanup
2020-10-23 09:35:33 -06:00
James Betker
646d6a621a
Support 4x zoom on ChainedEmbeddingGen
2020-10-23 09:25:58 -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
40dc2938e8
Fix multifaceted chain gen
2020-10-22 13:27:06 -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
1ef559d7ca
Add a ChainedEmbeddingGen which can be simueltaneously used with multiple training paradigms
2020-10-21 22:21:51 -06:00
James Betker
931aa65dd0
Allow recurrent losses to be weighted
2020-10-21 16:59:44 -06:00