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658a267bab
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46 Commits

Author SHA1 Message Date
James Betker
658a267bab More work on SSIM/PSNR approximators 
- Add a network that accomodates this style of approximator while retaining structure
- Migrate to SSIM approximation
- Add a tool to visualize how these approximators are working
- Fix some issues that came up while doign this work
 2020-11-03 08:09:58 -07:00
James Betker
a51daacde2 Fix reporting of d_fake_diff for generators 2020-11-02 08:45:46 -07:00
James Betker
ac3da0c5a6 Make tecogen functional 2020-10-27 21:08:59 -06:00
James Betker
2a3eec8fd7 Fix some distributed training snafus 2020-10-27 15:24:05 -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
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
3e3d2af1f3 Add multi-modal trainer 2020-10-22 13:27:32 -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
931aa65dd0 Allow recurrent losses to be weighted 2020-10-21 16:59:44 -06:00
James Betker
b28e4d9cc7 Add spread loss 
Experimental loss that peaks around 0.
 2020-10-19 11:31:19 -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
9ead2c0a08 Multiscale training in! 2020-10-17 22:54:12 -06:00
James Betker
8014f050ac Clear metrics properly 
Holy cow, what a PITA bug.
 2020-10-13 10:07:49 -06:00
James Betker
e785029936 Mods needed to support SPSR archs with teco gan 2020-10-10 22:39:55 -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
1c44d395af Tecogan work 
Its training!  There's still probably plenty of bugs though..
 2020-10-07 09:03:30 -06:00
James Betker
840927063a Work on tecogan losses 2020-10-05 19:35:28 -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
13f97e1e97 Add recursive loss 2020-10-04 20:48:15 -06:00
James Betker
dd9d7b27ac Add more sophisticated mechanism for balancing GAN losses 2020-10-02 22:53:42 -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
66d4512029 Fix up translational equivariance loss so it's ready for prime time 2020-09-30 12:01:00 -06:00
James Betker
f9b83176f1 Fix bugs in extensibletrainer 2020-09-28 22:09:42 -06:00
James Betker
31641d7f63 Add ImagePatchInjector and TranslationalLoss 2020-09-26 21:25:32 -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
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
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
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
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
365813bde3 Add InterpolateInjector 2020-09-03 11:32:47 -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
cbd5e7a986 Support old school crossgan in extensibletrainer 2020-08-26 17:52:35 -06:00
James Betker
a65b07607c Reference network 2020-08-25 11:56:59 -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
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