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Author SHA1 Message Date
James Betker
1eb516d686 Fix more distributed bugs 2020-10-08 14:32:45 -06:00
James Betker
fba29d7dcc Move to apex distributeddataparallel and add switch all_reduce 
Torch's distributed_data_parallel is missing "delay_allreduce", which is
necessary to get gradient checkpointing to work with recurrent models.
 2020-10-08 11:20:05 -06:00
James Betker
c174ac0fd5 Allow tecogan to support generators that only output a tensor (instead of a list) 2020-10-08 09:26:25 -06:00
James Betker
969bcd9021 Use local checkpoint in SSG 2020-10-08 08:54:46 -06:00
James Betker
c93dd623d7 Tecogan losses work 2020-10-07 23:11:58 -06:00
James Betker
c96f5b2686 Import switched_conv as a submodule 2020-10-07 23:10:54 -06:00
James Betker
c352c8bce4 More tecogan fixes 2020-10-07 12:41:17 -06:00
James Betker
1c44d395af Tecogan work 
Its training!  There's still probably plenty of bugs though..
 2020-10-07 09:03:30 -06:00
James Betker
e9d7371a61 Add concatenate injector 2020-10-07 09:02:42 -06:00
James Betker
8a7e993aea Merge remote-tracking branch 'origin/gan_lab' into gan_lab 2020-10-06 20:41:58 -06:00
James Betker
1e415b249b Add tag that can be applied to prevent parameter training 2020-10-06 20:39:49 -06:00
James Betker
2f2e3f33f8 StackedSwitchedGenerator_5lyr 2020-10-06 20:39:32 -06:00
James Betker
6217b48e3f Fix spsr_arch bug 2020-10-06 20:38:47 -06:00
James Betker
cffc596141 Integrate flownet2 into codebase, add teco visual debugs 2020-10-06 20:35:39 -06:00
James Betker
e4b89a172f Reduce spsr7 memory usage 2020-10-05 22:05:56 -06:00
James Betker
4111942ada Support attention deferral in deep ssgr 2020-10-05 19:35:55 -06:00
James Betker
840927063a Work on tecogan losses 2020-10-05 19:35:28 -06:00
James Betker
2875822024 SPSR9 arch 
takes some of the stuff I learned with SGSR yesterday and applies it to spsr
 2020-10-05 08:47:51 -06:00
James Betker
51044929af Don't compute attention statistics on multiple generator invocations of the same data 2020-10-05 00:34:29 -06:00
James Betker
e760658fdb Another fix.. 2020-10-04 21:08:00 -06:00
James Betker
a890e3a9c0 Fix geometric loss not handling 0 index 2020-10-04 21:05:01 -06:00
James Betker
c3ef8a4a31 Stacked switches - return a tuple 2020-10-04 21:02:24 -06:00
James Betker
13f97e1e97 Add recursive loss 2020-10-04 20:48:15 -06:00
James Betker
ffd069fd97 Lots of SSG work 
- Checkpointed pretty much the entire model - enabling recurrent inputs
- Added two new models for test - adding depth (again) and removing SPSR (in lieu of the new losses)
 2020-10-04 20:48:08 -06:00
James Betker
aca2c7ab41 Full checkpoint-ize SSG1 2020-10-04 18:24:52 -06:00
James Betker
e3294939b0 Revert "SSG: offer option to use BN-based attention normalization" 
Didn't work. Oh well.

This reverts commit 5cd2b37591.
 2020-10-03 17:54:53 -06:00
James Betker
5cd2b37591 SSG: offer option to use BN-based attention normalization 
Not sure how this is going to work, lets try it.
 2020-10-03 16:16:19 -06:00
James Betker
9b4ed82093 Get rid of unused convs in spsr7 2020-10-03 11:36:26 -06:00
James Betker
3561cc164d Fix up fea_loss calculator (for validation) 
Not sure how this was working in regular training mode, but it
was failing in DDP.
 2020-10-03 11:19:20 -06:00
James Betker
6c9718ad64 Don't log if you aren't 0 rank 2020-10-03 11:14:13 -06:00
James Betker
922b1d76df Don't record visuals when not on rank 0 2020-10-03 11:10:03 -06:00
James Betker
8197fd646f Don't accumulate losses for metrics when the loss isn't a tensor 2020-10-03 11:03:55 -06:00
James Betker
19a4075e1e Allow checkpointing to be disabled in the options file 
Also makes options a global variable for usage in utils.
 2020-10-03 11:03:28 -06:00
James Betker
dd9d7b27ac Add more sophisticated mechanism for balancing GAN losses 2020-10-02 22:53:42 -06:00
James Betker
39865ca3df TOTAL_loss, dumbo 2020-10-02 21:06:10 -06:00
James Betker
4e44fcd655 Loss accumulator fix 2020-10-02 20:55:33 -06:00
James Betker
567b4d50a4 ExtensibleTrainer - don't compute backward when there is no loss 2020-10-02 20:54:06 -06:00
James Betker
146a9125f2 Modify geometric & translational losses so they can be used with embeddings 2020-10-02 20:40:13 -06:00
James Betker
e30a1443cd Change sw2 refs 2020-10-02 09:01:18 -06:00
James Betker
e38716925f Fix spsr8 class init 2020-10-02 09:00:18 -06:00
James Betker
35469f08e2 Spsr 8 2020-10-02 08:58:15 -06:00
James Betker
aa4fd89018 resnext with groupnorm 2020-10-01 15:49:28 -06:00
James Betker
8beaa47933 resnext discriminator 2020-10-01 11:48:14 -06:00
James Betker
55f2764fef Allow fixup50 to be used as a discriminator 2020-10-01 11:28:18 -06:00
James Betker
7986185fcb Change 'mod_step' to 'every' 2020-10-01 11:28:06 -06:00
James Betker
d9ae970fd9 SSG update 2020-10-01 11:27:51 -06:00
James Betker
e3053e4e55 Exchange SpsrNet for SpsrNetSimplified 2020-09-30 17:01:04 -06:00
James Betker
66d4512029 Fix up translational equivariance loss so it's ready for prime time 2020-09-30 12:01:00 -06:00
James Betker
896b4f5be2 Revert "spsr7 adjustments" 
This reverts commit 9fee1cec71.
 2020-09-29 18:30:41 -06:00
James Betker
9fee1cec71 spsr7 adjustments 2020-09-29 17:19:59 -06:00
James Betker
dc8f3b24de Don't let duplicate keys be used for injectors and losses 2020-09-29 16:59:44 -06:00
James Betker
0b5a033503 spsr7 + cleanup 
SPSR7 adds ref onto spsr6, makes more "common sense" mods.
 2020-09-29 16:59:26 -06:00
James Betker
f9b83176f1 Fix bugs in extensibletrainer 2020-09-28 22:09:42 -06:00
James Betker
db52bec4ab spsr6 
This is meant to be a variant of SPSR5 that harkens
back to the simpler earlier architectures that do not
have embeddings or ref_ inputs, but do have deep
multiplexers. It does, however, use some of the new
conjoin mechanisms.
 2020-09-28 22:09:27 -06:00
James Betker
7e240f2fed Recurrent / teco work 2020-09-28 22:06:56 -06:00
James Betker
aeaf185314 Add RCAN 2020-09-27 16:00:41 -06:00
James Betker
4d29b7729e Model arch cleanup 2020-09-27 11:18:45 -06:00
James Betker
31641d7f63 Add ImagePatchInjector and TranslationalLoss 2020-09-26 21:25:32 -06:00
James Betker
d8621e611a BackboneSpineNoHead takes ref 2020-09-26 21:25:04 -06:00
James Betker
5a27187c59 More mods to accomodate new dataset 2020-09-25 22:45:57 -06:00
James Betker
6d0490a0e6 Tecogan implementation work 2020-09-25 16:38:23 -06:00
James Betker
ce4613ecb9 Finish up single_image_dataset work 
Sweet!
 2020-09-25 16:37:54 -06:00
James Betker
ea565b7eaf More fixes 2020-09-24 17:51:52 -06:00
James Betker
553917a8d1 Fix torchvision import bug 2020-09-24 17:38:34 -06:00
James Betker
58886109d4 Update how spsr arches do attention to conform with sgsr 2020-09-24 16:53:54 -06:00
James Betker
9a50a7966d SiLU doesnt support inplace 2020-09-23 21:09:13 -06:00
James Betker
eda0eadba2 Use custom SiLU 
Torch didnt have this before 1.7
 2020-09-23 21:05:06 -06:00
James Betker
05963157c1 Several things 
- Fixes to 'after' and 'before' defs for steps (turns out they werent working)
- Feature nets take in a list of layers to extract. Not fully implemented yet.
- Fixes bugs with RAGAN
- Allows real input into generator gan to not be detached by param
 2020-09-23 11:56:36 -06:00
James Betker
4ab989e015 try again.. 2020-09-22 18:27:52 -06:00
James Betker
3b6c957194 Fix? it again? 2020-09-22 18:25:59 -06:00
James Betker
7b60d9e0d8 Fix? cosine loss 2020-09-22 18:18:35 -06:00
James Betker
2e18c4c22d Add CosineEmbeddingLoss to F 2020-09-22 17:10:29 -06:00
James Betker
f40beb5460 Add 'before' and 'after' defs to injections, steps and optimizers 2020-09-22 17:03:22 -06:00
James Betker
419f77ec19 Some new backbones 2020-09-21 12:36:49 -06:00
James Betker
9429544a60 Spinenet: implementation without 4x downsampling right off the bat 2020-09-21 12:36:30 -06:00
James Betker
53a5657850 Fix SSGR 2020-09-20 19:07:15 -06:00
James Betker
17c569ea62 Add geometric loss 2020-09-20 16:24:23 -06:00
James Betker
17dd99b29b Fix bug with discriminator noise addition 
It wasn't using the scale and was applying the noise to the
underlying state variable.
 2020-09-20 12:00:27 -06:00
James Betker
3138f98fbc Allow discriminator noise to be injected at the loss level, cleans up configs 2020-09-19 21:47:52 -06:00
James Betker
e9a39bfa14 Recursively detach all outputs, even if they are nested in data structures 2020-09-19 21:47:34 -06:00
James Betker
fe82785ba5 Add some new architectures to ssg 2020-09-19 21:47:10 -06:00
James Betker
b83f097082 Get rid of get_debug_values from RRDB, rectify outputs 2020-09-19 21:46:36 -06:00
James Betker
e0bd68efda Add ImageFlowInjector 2020-09-19 10:07:00 -06:00
James Betker
e2a146abc7 Add in experiments hook 2020-09-19 10:05:25 -06:00
James Betker
9a17ade550 Some convenience adjustments to ExtensibleTrainer 2020-09-17 21:05:32 -06:00
James Betker
9963b37200 Add a new script for loading a discriminator network and using it to filter images 2020-09-17 13:30:32 -06:00
James Betker
723754c133 Update attention debugger outputting for SSG 2020-09-16 13:09:46 -06:00
James Betker
0918430572 SSG network 
This branches off of SPSR. It is identical but substantially reduced
in complexity. It's intended to be my long term working arch.
 2020-09-15 20:59:24 -06:00
James Betker
6deab85b9b Add BackboneEncoderNoRef 2020-09-15 16:55:38 -06:00
James Betker
d0321ca5de Don't load amp state dict if amp is disabled 2020-09-14 15:21:42 -06:00
James Betker
ccf8438001 SPSR5 
This is SPSR4, but the multiplexers have access to the output of the transformations
for making their decision.
 2020-09-13 20:10:24 -06:00
James Betker
5b85f891af Only log the name of the first network in the total_loss training set 2020-09-12 16:07:09 -06:00
James Betker
fb595e72a4 Supporting infrastructure in ExtensibleTrainer to train spsr4 
Need to be able to train 2 nets in one step: the backbone will be entirely separate
with its own optimizer (for an extremely low LR).

This functionality was already present, just not implemented correctly.
 2020-09-11 22:57:06 -06:00
James Betker
4e44bca611 SPSR4 
aka - return of the backbone! I'm tired of massively overparameterized generators
with pile-of-shit multiplexers. Let's give this another try..
 2020-09-11 22:55:37 -06:00
James Betker
19896abaea Clean up old SwitchedSpsr arch 
It didn't work anyways, so why not?
 2020-09-11 16:09:28 -06:00
James Betker
50ca17bb0a Feature mode -> back to LR fea 2020-09-11 13:09:55 -06:00
James Betker
1086f0476b Fix ref branch using fixed filters 2020-09-11 08:58:35 -06:00
James Betker
8c469b8286 Enable memory checkpointing 2020-09-11 08:44:29 -06:00
James Betker
5189b11dac Add combined dataset for training across multiple datasets 2020-09-11 08:44:06 -06:00
James Betker
313424d7b5 Add new referencing discriminator 
Also extend the way losses work so that you can pass
parameters into the discriminator from the config file
 2020-09-10 21:35:29 -06:00
James Betker
9e5aa166de Report the standard deviation of ref branches 
This patch also ups the contribution
 2020-09-10 16:34:41 -06:00
James Betker
668bfbff6d Back to best arch for spsr3 2020-09-10 14:58:14 -06:00
James Betker
992b0a8d98 spsr3 with conjoin stage as part of the switch 2020-09-10 09:11:37 -06:00
James Betker
e0fc5eb50c Temporary commit - noise 2020-09-09 17:12:52 -06:00
James Betker
00da69d450 Temporary commit - ref 2020-09-09 17:09:44 -06:00
James Betker
df59d6c99d More spsr3 mods 
- Most branches get their own noise vector now.
- First attention branch has the intended sole purpose of raw image processing
- Remove norms from joiner block
 2020-09-09 16:46:38 -06:00
James Betker
747ded2bf7 Fixes to the spsr3 
Some lessons learned:
- Biases are fairly important as a relief valve. They dont need to be everywhere, but
  most computationally heavy branches should have a bias.
- GroupNorm in SPSR is not a great idea. Since image gradients are represented
   in this model, normal means and standard deviations are not applicable. (imggrad
   has a high representation of 0).
- Don't fuck with the mainline of any generative model. As much as possible, all
   additions should be done through residual connections. Never pollute the mainline
   with reference data, do that in branches. It basically leaves the mode untrainable.
 2020-09-09 15:28:14 -06:00
James Betker
0ffac391c1 SPSR with ref joining 2020-09-09 11:17:07 -06:00
James Betker
3027e6e27d Enable amp to be disabled 2020-09-09 10:45:59 -06:00
James Betker
c04f244802 More mods 2020-09-08 20:36:27 -06:00
James Betker
dffbfd2ec4 Allow SRG checkpointing to be toggled 2020-09-08 15:14:43 -06:00
James Betker
e6207d4c50 SPSR3 work 
SPSR3 is meant to fix whatever is causing the switching units
inside of the newer SPSR architectures to fail and basically
not use the multiplexers.
 2020-09-08 15:14:23 -06:00
James Betker
5606e8b0ee Fix SRGAN_model/fullimgdataset compatibility 1 2020-09-08 11:34:35 -06:00
James Betker
22c98f1567 Move MultiConvBlock to arch_util 2020-09-08 08:17:27 -06:00
James Betker
146ace0859 CSNLN changes (removed because it doesnt train well) 2020-09-08 08:04:16 -06:00
James Betker
f43df7f5f7 Make ExtensibleTrainer compatible with process_video 2020-09-08 08:03:41 -06:00
James Betker
a18ece62ee Add updated spsr net for test 2020-09-07 17:01:48 -06:00
James Betker
55475d2ac1 Clean up unused archs 2020-09-07 11:38:11 -06:00
James Betker
e8613041c0 Add novograd optimizer 2020-09-06 17:27:08 -06:00
James Betker
b1238d29cb Fix trainable not applying to discriminators 2020-09-05 20:31:26 -06:00
James Betker
21ae135f23 Allow Novograd to be used as an optimizer 2020-09-05 16:50:13 -06:00
James Betker
912a4d9fea Fix srg computer bug 2020-09-05 07:59:54 -06:00
James Betker
0dfd8eaf3b Support injectors that run in eval only 2020-09-05 07:59:45 -06:00
James Betker
44c75f7642 Undo SRG change 2020-09-04 17:32:16 -06:00
James Betker
6657a406ac Mods needed to support training a corruptor again: 
- Allow original SPSRNet to have a specifiable block increment
- Cleanup
- Bug fixes in code that hasnt been touched in awhile.
 2020-09-04 15:33:39 -06:00
James Betker
bfdfaab911 Checkpoint RRDB 
Greatly reduces memory consumption with a low performance penalty
 2020-09-04 15:32:00 -06:00
James Betker
696242064c Use tensor checkpointing to drastically reduce memory usage 
This comes at the expense of computation, but since we can use much larger
batches, it results in a net speedup.
 2020-09-03 11:33:36 -06:00
James Betker
365813bde3 Add InterpolateInjector 2020-09-03 11:32:47 -06:00
James Betker
d90c96e55e Fix greyscale injector 2020-09-02 10:29:40 -06:00
James Betker
8b52d46847 Interpreted feature loss to extensibletrainer 2020-09-02 10:08:24 -06:00
James Betker
886d59d5df Misc fixes & adjustments 2020-09-01 07:58:11 -06:00
James Betker
0a9b85f239 Fix vgg_gn input_img_factor 2020-08-31 09:50:30 -06:00
James Betker
4b4d08bdec Enable testing in ExtensibleTrainer, fix it in SRGAN_model 
Also compute fea loss for this.
 2020-08-31 09:41:48 -06:00
James Betker
b2091cb698 feamod fix 2020-08-30 08:08:49 -06:00
James Betker
a56e906f9c train HR feature trainer 2020-08-29 09:27:48 -06:00
James Betker
0e859a8082 4x spsr ref (not workin) 2020-08-29 09:27:18 -06:00
James Betker
25832930db Update loss with lr crossgan 2020-08-26 17:57:22 -06:00
James Betker
cbd5e7a986 Support old school crossgan in extensibletrainer 2020-08-26 17:52:35 -06:00
James Betker
8a6a2e6e2e Rev3 of the full image ref arch 2020-08-26 17:11:01 -06:00
James Betker
f35b3ad28f Fix val behavior for ExtensibleTrainer 2020-08-26 08:44:22 -06:00
James Betker
434ed70a9a Wrap vgg disc 2020-08-25 18:14:45 -06:00
James Betker
83f2f8d239 more debugging 2020-08-25 18:12:12 -06:00
James Betker
3f60281da7 Print when wrapping 2020-08-25 18:08:46 -06:00
James Betker
bae18c05e6 wrap disc grad 2020-08-25 17:58:20 -06:00
James Betker
f85f1e21db Turns out, can't do that 2020-08-25 17:18:52 -06:00
James Betker
935a735327 More dohs 2020-08-25 17:05:16 -06:00
James Betker
53e67bdb9c Distribute get_grad_no_padding 2020-08-25 17:03:18 -06:00
James Betker
2f706b7d93 I an inept. 2020-08-25 16:42:59 -06:00
James Betker
8bae0de769 ffffffffffffffffff 2020-08-25 16:41:01 -06:00
James Betker
1fe16f71dd Fix bug reporting spsr gan weight 2020-08-25 16:37:45 -06:00
James Betker
96586d6592 Fix distributed d_grad 2020-08-25 16:06:27 -06:00
James Betker
09a9079e17 Check rank before doing image logging. 2020-08-25 16:00:49 -06:00
James Betker
a1800f45ef Fix for referencingmultiplexer 2020-08-25 15:43:12 -06:00
James Betker
a65b07607c Reference network 2020-08-25 11:56:59 -06:00
James Betker
f9276007a8 More fixes to corrupt_fea 2020-08-23 17:52:18 -06:00
James Betker
0005c56cd4 dbg 2020-08-23 17:43:03 -06:00
James Betker
4bb5b3c981 corfea debugging 2020-08-23 17:39:02 -06:00
James Betker
7713cb8df5 Corrupted features in srgan 2020-08-23 17:32:03 -06:00
James Betker
dffc15184d More ExtensibleTrainer work 
It runs now, just need to debug it to reach performance parity with SRGAN. Sweet.
 2020-08-23 17:22:45 -06:00
James Betker
afdd93fbe9 Grey feature 2020-08-22 13:41:38 -06:00
James Betker
e59e712e39 More ExtensibleTrainer work 2020-08-22 13:08:33 -06:00
James Betker
f40545f235 ExtensibleTrainer work 2020-08-22 08:24:34 -06:00
James Betker
a498d7b1b3 Report l_g_gan_grad before weight multiplication 2020-08-20 11:57:53 -06:00
James Betker
9d77a4db2e Allow initial temperature to be specified to SPSR net for inference 2020-08-20 11:57:34 -06:00
James Betker
24bdcc1181 Let SwitchedSpsr transform count be specified 2020-08-18 09:10:25 -06:00
James Betker
74cdaa2226 Some work on extensible trainer 2020-08-18 08:49:32 -06:00
James Betker
868d0aa442 Undo early dim reduction on grad branch for SPSR_arch 2020-08-14 16:23:42 -06:00
James Betker
2d205f52ac Unite spsr_arch switched gens 
Found a pretty good basis model.
 2020-08-12 17:04:45 -06:00
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
James Betker
dbf6147504 Add switched discriminator 
The logic is that the discriminator may be incapable of providing a truly
targeted loss for all image regions since it has to be too generic
(basically the same argument for the switched generator). So add some
switches in! See how it works!
 2020-07-22 20:52:59 -06:00
James Betker
106b8da315 Assert that temperature is set properly in eval mode. 2020-07-22 20:50:59 -06:00
James Betker
c74b9ee2e4 Add a way to disable grad on portions of the generator graph to save memory 2020-07-22 11:40:42 -06:00
James Betker
e3adafbeac Add convert_model.py and a hacky way to add extra layers to a model 2020-07-22 11:39:45 -06:00
James Betker
7f7e17e291 Update feature discriminator further 
Move the feature/disc losses closer and add a feature computation layer.
 2020-07-20 20:54:45 -06:00
James Betker
46aa776fbb Allow feature discriminator unet to only output closest layer to feature output 2020-07-19 19:05:08 -06:00
James Betker
8a9f215653 Huge set of mods to support progressive generator growth 2020-07-18 14:18:48 -06:00
James Betker
47a525241f Make attention norm optional 2020-07-18 07:24:02 -06:00
James Betker
ad97a6a18a Progressive SRG first check-in 2020-07-18 07:23:26 -06:00
James Betker
b08b1cad45 Fix feature decay 2020-07-16 23:27:06 -06:00
James Betker
3e7a83896b Fix pixgan debugging issues 2020-07-16 11:45:19 -06:00
James Betker
a1bff64d1a More fixes 2020-07-16 10:48:48 -06:00
James Betker
240f254263 More loss fixes 2020-07-16 10:45:50 -06:00
James Betker
6cfa67d831 Fix featuredisc broadcast error 2020-07-16 10:18:30 -06:00
James Betker
8d061a2687 Add u-net discriminator with feature output 2020-07-16 10:10:09 -06:00
James Betker
0c4c388e15 Remove dualoutputsrg 
Good idea, didn't pan out.
 2020-07-16 10:09:24 -06:00
James Betker
4bcc409fc7 Fix loadSRG2 typo 2020-07-14 10:20:53 -06:00
James Betker
1e4083a35b Apply temperature mods to all SRG models 
(Honestly this needs to be base classed at this point)
 2020-07-14 10:19:35 -06:00
James Betker
7659bd6818 Fix temperature equation 2020-07-14 10:17:14 -06:00
James Betker
853468ef82 Allow legacy state_dicts in srg2 2020-07-14 10:03:45 -06:00
James Betker
1b1431133b Add DualOutputSRG 
Also removes the old multi-return mechanism that Generators support.
Also fixes AttentionNorm.
 2020-07-14 09:28:24 -06:00
James Betker
a2285ff2ee Scale anorm by transform count 2020-07-13 08:49:09 -06:00
James Betker
dd0bbd9a7c Enable AttentionNorm on SRG2 2020-07-13 08:38:17 -06:00
James Betker
4c0f770f2a Fix inverted temperature curve bug 2020-07-12 11:02:50 -06:00
James Betker
14d23b9d20 Fixes, do fake swaps less often in pixgan discriminator 2020-07-11 21:22:11 -06:00
James Betker
ba6187859a err5 2020-07-10 23:02:56 -06:00
James Betker
902527dfaa err4 2020-07-10 23:00:21 -06:00
James Betker
020b3361fa err3 2020-07-10 22:57:34 -06:00
James Betker
b3a2c21250 err2 2020-07-10 22:52:02 -06:00
James Betker
716433db1f err1 2020-07-10 22:50:56 -06:00
James Betker
0b7193392f Implement unet disc 
The latest discriminator architecture was already pretty much a unet. This
one makes that official and uses shared layers. It also upsamples one additional
time and throws out the lowest upsampling result.

The intent is to delete the old vgg pixdisc, but I'll keep it around for a bit since
I'm still trying out a few models with it.
 2020-07-10 16:24:42 -06:00
James Betker
812c684f7d Update pixgan swap algorithm 
- Swap multiple blocks in the image instead of just one. The discriminator was clearly
  learning that most blocks have one region that needs to be fixed.
- Relax block size constraints. This was in place to gaurantee that the discriminator
  signal was clean. Instead, just downsample the "loss image" with bilinear interpolation.
  The result is noisier, but this is actually probably healthy for the discriminator.
 2020-07-10 15:56:14 -06:00