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
4dd053f694
Add distributed training guide to docs
2021-06-06 16:56:40 -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
James Betker
103a88506e
Log eval to wandb
2021-06-04 23:23:20 -06:00
James Betker
7d45132f60
fdsa
2021-06-04 21:26:54 -06:00
James Betker
6c8c8087d5
asdf
2021-06-04 21:24:48 -06:00
James Betker
e6c537824a
Allow validation for ce
2021-06-04 21:21:04 -06:00
James Betker
7c251af7a8
Support cifar100 with resnet
2021-06-04 17:29:07 -06:00
James Betker
bf811f80c1
GD mods & fixes
...
- Report variational loss separately
- Report model prediction from injector
- Log these things
- Use respacing like guided diffusion
2021-06-04 17:13:16 -06:00
James Betker
6084915af8
Support gaussian diffusion models
...
Adds support for GD models, courtesy of some maths from openai.
Also:
- Fixes requirement for eval{} even when it isn't being used
- Adds support for denormalizing an imagenet norm
2021-06-02 21:47:32 -06:00
James Betker
45bc76ba92
Fixes and mods to support training classifiers on imagenet
2021-06-01 17:25:24 -06:00
James Betker
f129eaa39e
Clean up byol a bit
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- Remove option to aug in dataset (there's really no reason for this now that kornia works on GPU on windows)
- Other stufff
2021-05-24 21:35:46 -06:00
James Betker
6649ef2dae
Add zipfilesdataset
2021-05-24 21:35:00 -06:00
James Betker
1a2b9fa130
Get rid of old byol net wrapping
...
Simplifies and makes this usable with DLAS' multi-gpu trainer
2021-04-27 12:48:34 -06:00
James Betker
119f17c808
Add testing capabilities for segformer & contrastive feature
2021-04-27 09:59:50 -06:00
James Betker
eab8546f73
Add reference config for segformer
2021-04-25 11:46:51 -06:00
James Betker
9bbe6fc81e
Get segformer to a trainable state
2021-04-25 11:45:20 -06:00
James Betker
23e01314d4
Add dataset, ui for labeling and evaluator for pointwise classification
2021-04-23 17:17:13 -06:00
James Betker
fc623d4b5a
Add segformer model. Start work on BYOL adaptation that will support training it.
2021-04-23 17:16:46 -06:00
