James Betker
79367f753d
Fix error & add nonfinite warning
2021-11-09 23:58:41 -07:00
James Betker
87364b890f
Add custom clip_grad_norm that prints out the param names in error.
2021-11-01 11:12:20 -06:00
James Betker
82fc69abfa
Add "pure" evaluator
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Which simply computes the training loss against an eval dataset
2021-08-09 14:58:35 -06:00
James Betker
4c98b9703f
Get dalle-style TTS to "work"
2021-08-03 21:08:27 -06:00
James Betker
965f6e6b52
Fixes to weight_decay in adamw
2021-07-31 15:58:41 -06:00
James Betker
1ff434218e
tacotron2, ready for prime time!
2021-07-08 22:13:44 -06:00
James Betker
6fd16ea9c8
Add meta-anomaly detection, colorjitter augmentation
2021-06-29 13:41:55 -06:00
James Betker
a57ed8e960
Various mods to support better jpeg image filtering
2021-06-25 13:16:15 -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
3e3ad7825f
Add support for training an EMA network alongside the main networks
2021-06-12 21:01:41 -06:00
James Betker
65c474eecf
Various changes to fix testing
2021-06-11 15:31:10 -06:00
James Betker
692e9c417b
Support diffusion unet
2021-06-06 13:57:22 -06:00
James Betker
80d4404367
A few fixes:
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- Output better prediction of xstart from eps
- Support LossAwareSampler
- Support AdamW
2021-06-05 13:40:32 -06:00
James Betker
34f8c8641f
Support training imagenet classifier
2021-01-11 20:09:16 -07:00
James Betker
edf9c38198
Make ExtensibleTrainer set the starting step for the LR scheduler
2021-01-02 22:22:34 -07:00
James Betker
bdbab65082
Allow optimizers to train separate param groups, add higher dimensional VGG discriminator
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Did this to support training 512x512px networks off of a pretrained 256x256 network.
2021-01-02 15:10:06 -07:00
James Betker
9c53314ea2
Add gradient penalty visual debug
2020-12-30 09:51:59 -07:00
James Betker
63cf3d3126
Injector auto-registration
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I love it!
2020-12-29 20:58:02 -07:00
James Betker
036684893e
Add LARS optimizer & support for BYOL idiosyncrasies
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- Added LARS and SGD optimizer variants that support turning off certain
features for BN and bias layers
- Added a variant of pytorch's resnet model that supports gradient checkpointing.
- Modify the trainer infrastructure to support above
- Fix bug with BYOL (should have been nonfunctional)
2020-12-23 20:33:43 -07:00
James Betker
5640e4efe4
More refactoring
2020-12-18 09:18:34 -07:00
