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650 Commits

Author SHA1 Message Date
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 
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 
Only supports basic losses for now, though.
 2020-10-24 11:56:39 -06:00
James Betker
1dbcbfbac8 Restore ChainedEmbeddingGenWithStructure 
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 
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 
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) 
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 
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
James Betker
5753e77d67 ChainedGen: Output debugging information on blocks 2020-10-21 16:36:23 -06:00
James Betker
3c6e600e48 Add capacity for models to self-report visuals 2020-10-21 11:08:03 -06:00
James Betker
dca5cddb3b Add bypass to ChainedEmbeddingGen 2020-10-21 11:07:45 -06:00
James Betker
a63bf2ea2f Merge remote-tracking branch 'origin/gan_lab' into gan_lab 2020-10-19 15:26:11 -06:00
James Betker
76e4f0c086 Restore test.py for use as standalone validator 2020-10-19 15:26:07 -06:00
James Betker
1b1ca297f8 Fix recurrent=None bug in ChainedEmbeddingGen 2020-10-19 15:25:12 -06:00
James Betker
b28e4d9cc7 Add spread loss 
Experimental loss that peaks around 0.
 2020-10-19 11:31:19 -06:00
James Betker
981d64413b Support validation over a custom injector 
Also re-enable PSNR
 2020-10-19 11:01:56 -06:00
James Betker
668cafa798 Push correct patch of recurrent embedding to upstream image, rather than whole thing 2020-10-18 22:39:52 -06:00
James Betker
7df378a944 Remove separated vgg discriminator 
Checkpointing happens inline instead. Was a dumb idea..

Also fixes some loss reporting issues.
 2020-10-18 12:10:24 -06:00
James Betker
c709d38cd5 Fix memory leak with recurrent loss 2020-10-18 10:22:10 -06:00
James Betker
552e70a032 Get rid of excessive checkpointed disc params 2020-10-18 10:09:37 -06:00
James Betker
6a0d5f4813 Add a checkpointable discriminator 2020-10-18 09:57:47 -06:00
James Betker
9ead2c0a08 Multiscale training in! 2020-10-17 22:54:12 -06:00
James Betker
e706911c83 Fix spinenet bug 2020-10-17 20:20:36 -06:00
James Betker
b008a27d39 Spinenet should allow bypassing the initial conv 
This makes feeding in references for recurrence easier.
 2020-10-17 20:16:47 -06:00
James Betker
c1c9c5681f Swap recurrence 2020-10-17 08:40:28 -06:00
James Betker
6141aa1110 More recurrence fixes for chainedgen 2020-10-17 08:35:46 -06:00
James Betker
cf8118a85b Allow recurrence to specified for chainedgen 2020-10-17 08:32:29 -06:00
James Betker
fc4c064867 Add recurrent support to chainedgenwithstructure 2020-10-17 08:31:34 -06:00
James Betker
d4a3e11ab2 Don't use several stages of spinenet_arch 
These are used for lower outputs which I am not using
 2020-10-17 08:28:37 -06:00
James Betker
d1c63ae339 Go back to torch's DDP 
Apex was having some weird crashing issues.
 2020-10-16 20:47:35 -06:00
James Betker
d856378b2e Add ChainedGenWithStructure 2020-10-16 20:44:36 -06:00
James Betker
617d97e19d Add ChainedEmbeddingGen 2020-10-15 23:18:08 -06:00
James Betker
c4543ce124 Set post_transform_block to None where applicable 2020-10-15 17:20:42 -06:00
James Betker
6f8705e8cb SSGSimpler network 2020-10-15 17:18:44 -06:00
James Betker
eda75c9779 Cleanup fixes 2020-10-15 10:13:17 -06:00
James Betker
920865defb Arch work 2020-10-15 10:13:06 -06:00
James Betker
1f20d59c31 Revert big switch back 2020-10-14 11:03:34 -06:00
James Betker
24792bdb4f Codebase cleanup 
Removed a lot of legacy stuff I have no intent on using again.
Plan is to shape this repo into something more extensible (get it? hah!)
 2020-10-13 20:56:39 -06:00
James Betker
e620fc05ba Mods to support video processing with teco networks 2020-10-13 20:47:05 -06:00
James Betker
17d78195ee Mods to SRG to support returning switch logits 2020-10-13 20:46:37 -06:00
James Betker
cc915303a5 Fix SPSR calls into SwitchComputer 2020-10-13 10:14:47 -06:00
James Betker
bdf4c38899 Merge remote-tracking branch 'origin/gan_lab' into gan_lab 
# Conflicts:
#	codes/models/archs/SwitchedResidualGenerator_arch.py
 2020-10-13 10:12:26 -06:00
James Betker
9a5d6162e9 Add the "BigSwitch" 2020-10-13 10:11:10 -06:00
James Betker
8014f050ac Clear metrics properly 
Holy cow, what a PITA bug.
 2020-10-13 10:07:49 -06:00
James Betker
4d52374e60 Merge remote-tracking branch 'origin/gan_lab' into gan_lab 2020-10-12 17:43:51 -06:00
James Betker
731700ab2c checkpoint in ssg 2020-10-12 17:43:28 -06:00
James Betker
ca523215c6 Fix recurrent std in arch 2020-10-12 17:42:32 -06:00
James Betker
05377973bf Allow initial recurrent input to be specified (optionally) 2020-10-12 17:36:43 -06:00
James Betker
597b6e92d6 Add ssgr1 recurrence 2020-10-12 17:18:19 -06:00
James Betker
d7d7590f3e Fix constant injector - wasn't working in test 2020-10-12 10:36:30 -06:00
James Betker
ce163ad4a9 Update SSGdeep 2020-10-12 10:22:08 -06:00
James Betker
3409d88a1c Add PANet arch 2020-10-12 10:20:55 -06:00
James Betker
a9c2e97391 Constant injector and teco fixes 2020-10-11 08:20:07 -06:00
James Betker
e785029936 Mods needed to support SPSR archs with teco gan 2020-10-10 22:39:55 -06:00
James Betker
120072d464 Add constant injector 2020-10-10 21:50:23 -06:00
James Betker
f99812e14d Fix tecogan_losses errors 2020-10-10 20:30:14 -06:00
James Betker
3a5b23b9f7 Alter teco_losses to feed a recurrent input in as separate 2020-10-10 20:21:09 -06:00
James Betker
0d30d18a3d Add MarginRemoval injector 2020-10-09 20:35:56 -06:00
James Betker
0011d445c8 Fix loss indexing 2020-10-09 20:20:51 -06:00
James Betker
202eb11fdc For element loss added 2020-10-09 19:51:44 -06:00
James Betker
fe50d6f9d0 Fix attention images 2020-10-09 19:21:55 -06:00
James Betker
7e777ea34c Allow tecogan to be used in process_video 2020-10-09 19:21:43 -06:00
James Betker
58d8bf8f69 Add network architecture built for teco 2020-10-09 08:40:14 -06:00
James Betker
afe6af88af Fix attention print issue 2020-10-08 18:34:00 -06:00
James Betker
4c85ee51a4 Converge SSG architectures into unified switching base class 
Also adds attention norm histogram to logging
 2020-10-08 17:23:21 -06:00
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