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268 Commits

Author SHA1 Message Date
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
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
9a17ade550 Some convenience adjustments to ExtensibleTrainer 2020-09-17 21:05:32 -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
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
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
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
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
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
22c98f1567 Move MultiConvBlock to arch_util 2020-09-08 08:17:27 -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
912a4d9fea Fix srg computer bug 2020-09-05 07:59:54 -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
0a9b85f239 Fix vgg_gn input_img_factor 2020-08-31 09:50:30 -06:00
James Betker
0e859a8082 4x spsr ref (not workin) 2020-08-29 09:27:18 -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
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
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
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
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
1f21c02f8b Add cross-compare discriminator 2020-08-06 08:56:21 -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
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
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
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
f33ed578a2 Update how attention_maps are created 2020-08-01 20:23:46 -06:00
James Betker
8dd44182e6 Fix scale torch warning 2020-07-31 16:56:04 -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
e37726f302 Add feature_model for training custom feature nets 2020-07-31 11:20:39 -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
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
3e7a83896b Fix pixgan debugging issues 2020-07-16 11:45:19 -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
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
33ca3832e1 Move ExpansionBlock to arch_util 
Also makes all processing blocks have a conformant signature.

Alters ExpansionBlock to perform a processing conv on the passthrough
before the conjoin operation - this will break backwards compatibilty with SRG2.
 2020-07-10 15:53:41 -06:00
James Betker
5e8b52f34c Misc changes 2020-07-10 09:45:48 -06:00
James Betker
5f2c722a10 SRG2 revival 
Big update to SRG2 architecture to pull in a lot of things that have been learned:
- Use group norm instead of batch norm
- Initialize the weights on the transformations low like is done in RRDB rather than using the scalar. Models live or die by their early stages, and this ones early stage is pretty weak
- Transform multiplexer to use u-net like architecture.
- Just use one set of configuration variables instead of a list - flat networks performed fine in this regard.
 2020-07-09 17:34:51 -06:00
James Betker
b2507be13c Fix up pixgan loss and pixdisc 2020-07-08 21:27:48 -06:00
James Betker
26a4a66d1c Bug fixes and new gan mechanism 
- Removed a bunch of unnecessary image loggers. These were just consuming space and never being viewed
- Got rid of support of artificial var_ref support. The new pixdisc is what i wanted to implement then - it's much better.
- Add pixgan GAN mechanism. This is purpose-built for the pixdisc. It is intended to promote a healthy discriminator
- Megabatchfactor was applied twice on metrics, fixed that

Adds pix_gan (untested) which swaps a portion of the fake and real image with each other, then expects the discriminator
to properly discriminate the swapped regions.
 2020-07-08 17:40:26 -06:00
James Betker
8a4eb8241d SRG3 work 
Operates on top of a pre-trained SpineNET backbone (trained on CoCo 2017 with RetinaNet)

This variant is extremely shallow.
 2020-07-07 13:46:40 -06:00
James Betker
0acad81035 More SRG2 adjustments.. 2020-07-06 22:40:40 -06:00