mrq/DL-Art-School
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3d0ece804b
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247 Commits

Author SHA1 Message Date
James Betker
3d0ece804b SPSR LR2 2020-08-12 08:45:49 -06:00
James Betker
ab04ca1778 Extensible trainer (in progress) 2020-08-12 08:45:23 -06:00
James Betker
cb316fabc7 Use LR data for image gradient prediction when HR data is disjoint 2020-08-10 15:00:28 -06:00
James Betker
f0e2816239 Denoise attention maps 2020-08-10 14:59:58 -06:00
James Betker
59aba1daa7 LR switched SPSR arch 
This variant doesn't do conv processing at HR, which should save
a ton of memory in inference. Lets see how it works.
 2020-08-10 13:03:36 -06:00
James Betker
4e972144ae More attention fixes for switched_spsr 2020-08-07 21:11:50 -06:00
James Betker
d02509ef97 spsr_switched missing import 2020-08-07 21:05:29 -06:00
James Betker
887806ffa0 Finish up spsr_switched 2020-08-07 21:03:48 -06:00
James Betker
1d5f4f6102 Crossgan 2020-08-07 21:03:39 -06:00
James Betker
fd7b6ca0a9 Comptue gan_grad_branch.... 2020-08-06 12:11:40 -06:00
James Betker
30b16d5235 Update how branch GAN grad is disseminated 2020-08-06 11:13:02 -06:00
James Betker
1f21c02f8b Add cross-compare discriminator 2020-08-06 08:56:21 -06:00
James Betker
be272248af More RAGAN fixes 2020-08-05 16:47:21 -06:00
James Betker
26a6a5d512 Compute grad GAN loss against both the branch and final target, simplify pixel loss 
Also fixes a memory leak issue where we weren't detaching our loss stats when
logging them. This stabilizes memory usage substantially.
 2020-08-05 12:08:15 -06:00
James Betker
299ee13988 More RAGAN fixes 2020-08-05 11:03:06 -06:00
James Betker
b8a4df0a0a Enable RAGAN in SPSR, retrofit old RAGAN for efficiency 2020-08-05 10:34:34 -06:00
James Betker
3ab39f0d22 Several new spsr nets 2020-08-05 10:01:24 -06:00
James Betker
3c0a2d6efe Fix grad branch debug out 2020-08-04 16:43:43 -06:00
James Betker
ec2a795d53 Fix multistep optimizer (feeding from wrong config params) 2020-08-04 16:42:58 -06:00
James Betker
4bfbdaf94f Don't recompute generator outputs for D in standard operation 
Should significantly improve training performance with negligible
results differences.
 2020-08-04 11:28:52 -06:00
James Betker
11b227edfc Whoops 2020-08-04 10:30:40 -06:00
James Betker
6d25bcd5df Apply fixes to grad discriminator 2020-08-04 10:25:13 -06:00
James Betker
c7e5d3888a Add pix_grad_branch loss to metrics 2020-08-03 16:21:05 -06:00
James Betker
0d070b47a7 Add simplified SPSR architecture 
Basically just cleaning up the code, removing some bad conventions,
and reducing complexity somewhat so that I can play around with
this arch a bit more easily.
 2020-08-03 10:25:37 -06:00
James Betker
47e24039b5 Fix bug that makes feature loss run even when it is off 2020-08-02 20:37:51 -06:00
James Betker
328afde9c0 Integrate SPSR into SRGAN_model 
SPSR_model really isn't that different from SRGAN_model. Rather than continuing to re-implement
everything I've done in SRGAN_model, port the new stuff from SPSR over.

This really demonstrates the need to refactor SRGAN_model a bit to make it cleaner. It is quite the
beast these days..
 2020-08-02 12:55:08 -06:00
James Betker
c8da78966b Substantial SPSR mods & fixes 
- Added in gradient accumulation via mega-batch-factor
- Added AMP
- Added missing train hooks
- Added debug image outputs
- Cleaned up including removing GradientPenaltyLoss, custom SpectralNorm
- Removed all the custom discriminators
 2020-08-02 10:45:24 -06:00
James Betker
f894ba8f98 Add SPSR_module 
This is a port from the SPSR repo, it's going to need a lot of work to be properly integrated
but as of this commit it at least runs.
 2020-08-01 22:02:54 -06:00
James Betker
f33ed578a2 Update how attention_maps are created 2020-08-01 20:23:46 -06:00
James Betker
c139f5cd17 More torch 1.6 fixes 2020-07-31 17:03:20 -06:00
James Betker
a66fbb32b6 Fix fixed_disc DataParallel issue 2020-07-31 16:59:23 -06:00
James Betker
8dd44182e6 Fix scale torch warning 2020-07-31 16:56:04 -06:00
James Betker
bcebed19b7 Fix pixdisc bugs 2020-07-31 16:38:14 -06:00
James Betker
eb11a08d1c Enable disjoint feature networks 
This is done by pre-training a feature net that predicts the features
of HR images from LR images. Then use the original feature network
and this new one in tandem to work only on LR/Gen images.
 2020-07-31 16:29:47 -06:00
James Betker
6e086d0c20 Fix fixed_disc 2020-07-31 15:07:10 -06:00
James Betker
d5fa059594 Add capability to have old discriminators serve as feature networks 2020-07-31 14:59:54 -06:00
James Betker
6b45b35447 Allow multi_step_lr_scheduler to load a new LR schedule when restoring state 2020-07-31 11:21:11 -06:00
James Betker
e37726f302 Add feature_model for training custom feature nets 2020-07-31 11:20:39 -06:00
James Betker
7629cb0e61 Add FDPL Loss 
New loss type that can replace PSNR loss. Works against the frequency domain
and focuses on frequency features loss during hr->lr conversion.
 2020-07-30 20:47:57 -06:00
James Betker
85ee64b8d9 Turn down feadisc intensity 
Honestly - this feature is probably going to be removed soon, so backwards
compatibility is not a huge deal anymore.
 2020-07-27 15:28:55 -06:00
James Betker
ebb199e884 Get rid of safety valve (probably being encountered in val) 2020-07-26 22:51:59 -06:00
James Betker
d09ed4e5f7 Misc fixes 2020-07-26 22:44:24 -06:00
James Betker
c54784ae9e Fix feature disc log item error 2020-07-26 22:25:59 -06:00
James Betker
9a8f227501 Allow separate dataset to pushed in for GAN-only training 2020-07-26 21:44:45 -06:00
James Betker
b06e1784e1 Fix SRG4 & switch disc 
"fix". hehe.
 2020-07-25 17:16:54 -06:00
James Betker
e6e91a1d75 Add SRG4 
Back to the idea that maybe what we need is a hybrid
approach between pure switches and RDB.
 2020-07-24 20:32:49 -06:00
James Betker
3320ad685f Fix mega_batch_factor not set for test 2020-07-24 12:26:44 -06:00
James Betker
c50cce2a62 Add an abstract, configurabler weight scheduling class and apply it to the feature weight 2020-07-23 17:03:54 -06:00
James Betker
9ccf771629 Fix feature validation, wrong device 
Only shows up in distributed training for some reason.
 2020-07-23 10:16:34 -06:00
James Betker
bba283776c Enable find_unused_parameters for DistributedDataParallel 
attention_norm has some parameters which are not used to compute grad,
which is causing failures in the distributed case.
 2020-07-23 09:08:13 -06:00