Commit Graph

471 Commits

Author SHA1 Message Date
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