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327cdbe110
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649 Commits

Author SHA1 Message Date
James Betker
327cdbe110 Support configurable multi-modal training 2020-10-24 11:57:39 -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
8e5b6682bf Add PairedFrameDataset 2020-10-23 20:58:07 -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
8636492db0 Copy train.py mods to train2 2020-10-22 17:16:36 -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
f9dc472f63 Misc nonfunctional mods to datasets 2020-10-22 10:16:17 -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
b54de69153 Misc 2020-10-21 11:08:21 -06:00
James Betker
71c3820d2d Fix process_video 2020-10-21 11:08:12 -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
d8c6a4bbb8 Misc 2020-10-20 12:56:52 -06:00
James Betker
aba83e7497 Don't apply jpeg corruption & noise corruption together 
This causes some severe noise.
 2020-10-20 12:56:35 -06:00
James Betker
111450f4e7 Use areal interpolate for multiscale_dataset 2020-10-19 15:30:25 -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
331c40f0c8 Allow starting step to be forced 
Useful for testing purposes or to force a validation.
 2020-10-19 15:23:04 -06:00
James Betker
8ca566b621 Revert "Misc" 
This reverts commit 0e3ea63a14.

# Conflicts:
#	codes/test.py
#	codes/train.py
 2020-10-19 13:34:54 -06:00
James Betker
b28e4d9cc7 Add spread loss 
Experimental loss that peaks around 0.
 2020-10-19 11:31:19 -06:00
James Betker
9b9a6e5925 Add get_paths() to base_unsupervised_image_dataset 2020-10-19 11:30:06 -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
ffad0e0422 Allow image corruption in multiscale dataset 2020-10-19 10:10:27 -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
c7f3fc4dd9 Enable chunk_with_reference to work without centers 
Moving away from this so it doesn't matter too much. Also fixes an issue
with the "ignore" flag.
 2020-10-17 20:09:08 -06:00
James Betker
b45e132a9d Allow first n tiles to be ignored 
Helps zoom in with chunked dataset
 2020-10-17 09:45:03 -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