James Betker
afa41f1804
Allow hq color jittering and corruptions that are not included in the corruption factor
2021-06-30 09:44:46 -06:00
James Betker
6fd16ea9c8
Add meta-anomaly detection, colorjitter augmentation
2021-06-29 13:41:55 -06:00
James Betker
46e9f62be0
Add unet with latent guide
...
This is a diffusion network that uses both a LQ image
and a reference sample HQ image that is compressed into
a latent vector to perform upsampling
The hope is that we can steer the upsampling network
with sample images.
2021-06-26 11:02:58 -06:00
James Betker
0ded106562
Merge remote-tracking branch 'origin/master'
2021-06-25 13:16:28 -06:00
James Betker
a57ed8e960
Various mods to support better jpeg image filtering
2021-06-25 13:16:15 -06:00
James Betker
61e7ca39cd
Update image_folder_dataset.py
2021-06-25 11:48:31 -06:00
James Betker
a0ef07ddb8
Create unet_latent_guide.py
2021-06-25 11:25:14 -06:00
James Betker
e7890dc0ba
Misc fixes for diffusion nets
2021-06-21 10:38:07 -06:00
James Betker
8e3a33e001
Fix a bug where non-rank-0 is computing FID before all images are saved.
2021-06-16 16:27:09 -06:00
James Betker
68cbbed886
Add some cool diffusion testing scripts
2021-06-16 16:26:36 -06:00
James Betker
ae8de0cb9d
fid saving images across all rank fix
2021-06-15 10:31:07 -06:00
James Betker
6a75bd0777
Another fix
2021-06-14 09:51:44 -06:00
James Betker
54bff35171
Fix issue where eval was not being used by all ddp processes
2021-06-14 09:50:04 -06:00
James Betker
60079a1572
Fix saver in distributed mode
2021-06-14 09:41:06 -06:00
James Betker
545f2db170
Distributed FID dataset across processes
2021-06-14 09:33:44 -06:00
James Betker
6b32c87dcb
Try to make diffusion fid more deterministic
2021-06-14 09:27:43 -06:00
James Betker
5b4f86293f
Add FID evaluator for diffusion models
2021-06-14 09:14:30 -06:00
James Betker
9cfe840872
Attempt to fix syncing multiple times when doing gradient accumulation
2021-06-13 14:30:30 -06:00
James Betker
1cd75dfd33
Fix ddp bug
2021-06-13 10:25:23 -06:00
James Betker
3e3ad7825f
Add support for training an EMA network alongside the main networks
2021-06-12 21:01:41 -06:00
James Betker
696f320820
Get rid of feature networks
2021-06-11 20:50:07 -06:00
James Betker
65c474eecf
Various changes to fix testing
2021-06-11 15:31:10 -06:00
James Betker
220f11a5e4
Half channel sizes in cifar_resnet
2021-06-09 17:06:37 -06:00
James Betker
aea12e1b9c
Fix cat eval hack
2021-06-09 17:05:11 -06:00
James Betker
9b5f4abb91
Add fade in for hard switch
2021-06-07 18:15:09 -06:00
James Betker
108c5d829c
Fix dropout norm
2021-06-07 16:13:23 -06:00
James Betker
438217094c
Also debug distribution of switch
2021-06-07 15:36:07 -06:00
James Betker
44b09e5f20
Amplify dropout rate
2021-06-07 15:20:53 -06:00
James Betker
f0d4eb9182
Fixor
2021-06-07 11:58:36 -06:00
James Betker
c456a60466
Another go at fixing nan
2021-06-07 11:51:43 -06:00
James Betker
1c574c5bd1
Attempt to fix nan
2021-06-07 11:43:42 -06:00
James Betker
eda796985b
Try out dropout norm
2021-06-07 11:33:33 -06:00
James Betker
6c6e82406e
Pass a corruption factor through the dataset into the upsampling network
...
The intuition is this will help guide the network to make better informed decisions
about how it performs upsampling based on how it perceives the underlying content.
(I'm giving up on letting networks detect their own quality - I'm not convinced it is
actually feasible)
2021-06-07 09:13:54 -06:00
James Betker
2ad2b56438
Don't do wandb except on rank 0
2021-06-06 16:52:07 -06:00
James Betker
7c5478bc2c
Formatting issue with gdi
2021-06-06 16:35:37 -06:00
James Betker
061dbcd458
Another fix to anorm
2021-06-06 15:09:49 -06:00
James Betker
9a6991e461
Fix switch norm average
2021-06-06 15:04:28 -06:00
James Betker
57e1a6a0f2
cifar: add hard routing
...
Also mods switched_routing to support non-pixular inputs
2021-06-06 14:53:43 -06:00
James Betker
692e9c417b
Support diffusion unet
2021-06-06 13:57:22 -06:00
James Betker
a0158ebc69
Simplify cifar resnet further for faster training
2021-06-06 10:02:24 -06:00
James Betker
75567a9814
Only head norm removed
2021-06-05 23:29:11 -06:00
James Betker
65d0376b90
Re-add normalization at the tail of the RRDB
2021-06-05 23:04:05 -06:00
James Betker
184e887122
Remove rrdb normalization
2021-06-05 21:39:19 -06:00
James Betker
f5e75602b9
Add regular attention to cifar_resnet
2021-06-05 21:34:07 -06:00
James Betker
16cd92acd5
hack
2021-06-05 14:23:41 -06:00
James Betker
af52751d6b
Fix device error
2021-06-05 14:21:32 -06:00
James Betker
5f0cc65f3b
Register branched resnet properly
2021-06-05 14:19:03 -06:00
James Betker
fb405d9ef1
CIFAR stuff
...
- Extract coarse labels for the CIFAR dataset
- Add simple resnet that branches lower layers based on coarse labels
- Some other cleanup
2021-06-05 14:16:02 -06:00
James Betker
80d4404367
A few fixes:
...
- Output better prediction of xstart from eps
- Support LossAwareSampler
- Support AdamW
2021-06-05 13:40:32 -06:00
James Betker
fa908a6a15
Fix wandb import issue
2021-06-04 23:27:15 -06:00
