James Betker
d120e1aa99
Add audio augmentation to wavfile_dataset, utility to test audio similary
2021-08-05 22:14:49 -06:00
James Betker
c0f61a2e15
Rework how DVAE tokens are ordered
...
It might make more sense to have top tokens, then bottom tokens
with top tokens having different discretized values.
2021-08-05 07:07:17 -06:00
James Betker
5037220ac7
Mods to support contrastive learning on audio files
2021-08-05 05:57:04 -06:00
James Betker
4c98b9703f
Get dalle-style TTS to "work"
2021-08-03 21:08:27 -06:00
James Betker
2814307eee
Alterations to support VQVAE on mel spectrograms
2021-08-01 07:54:21 -06:00
James Betker
dadc54795c
Add gpt_tts
2021-07-27 20:33:30 -06:00
James Betker
96e90e7047
Add support for a gaussian-diffusion-based wave tacotron
2021-07-26 16:27:31 -06:00
James Betker
97d7cbbc34
Additional work for audio xformer (which doesnt really do a great job)
2021-07-23 10:58:14 -06:00
James Betker
d81386c1be
Mods to support vqvae in audio mode (1d)
2021-07-20 08:36:46 -06:00
James Betker
1ff434218e
tacotron2, ready for prime time!
2021-07-08 22:13:44 -06:00
James Betker
86fd3ad7fd
Initial checkin of nvidia tacotron model & dataset
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These two are tested, full support for training to come.
2021-07-06 11:11:35 -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
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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
a57ed8e960
Various mods to support better jpeg image filtering
2021-06-25 13:16:15 -06:00
James Betker
e7890dc0ba
Misc fixes for diffusion nets
2021-06-21 10:38:07 -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
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
2ad2b56438
Don't do wandb except on rank 0
2021-06-06 16:52:07 -06:00
James Betker
692e9c417b
Support diffusion unet
2021-06-06 13:57:22 -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
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
119f17c808
Add testing capabilities for segformer & contrastive feature
2021-04-27 09:59:50 -06:00
James Betker
9bbe6fc81e
Get segformer to a trainable state
2021-04-25 11:45:20 -06:00
James Betker
17555e7d07
misc adjustments for stylegan
2021-04-21 18:14:17 -06:00
James Betker
f89ea5f1c6
Mods to support lightweight_gan model
2021-03-02 20:51:48 -07:00
James Betker
784b96c059
Misc options to add support for training stylegan2-rosinality models:
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- Allow image_folder_dataset to normalize inbound images
- ExtensibleTrainer can denormalize images on the output path
- Support .webp - an output from LSUN
- Support logistic GAN divergence loss
- Support stylegan2 TF weight extraction for discriminator
- New injector that produces latent noise (with separated paths)
- Modify FID evaluator to be operable with rosinality-style GANs
2021-02-08 08:09:21 -07:00
James Betker
7070142805
Make vqvae3_hard more configurable
2021-02-04 09:03:22 -07:00
James Betker
51b63b2aa6
Add switched_conv with hard routing and make vqvae use it.
2021-01-25 08:25:29 -07:00
James Betker
557cdec116
misc
2021-01-23 13:45:17 -07:00
James Betker
587a4f4050
resnet_unet_3
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I'm being really lazy here - these nets are not really different from each other
except at which layer they terminate. This one terminates at 2x downsampling,
which is simply indicative of a direction I want to go for testing these pixpro networks.
2021-01-15 14:51:03 -07:00
James Betker
d1007ccfe7
Adjustments to pixpro to allow training against networks with arbitrarily large structural latents
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- The pixpro latent now rescales the latent space instead of using a "coordinate vector", which
**might** have performance implications.
- The latent against which the pixel loss is computed can now be a small, randomly sampled patch
out of the entire latent, allowing further memory/computational discounts. Since the loss
computation does not have a receptive field, this should not alter the loss.
- The instance projection size can now be separate from the pixel projection size.
- PixContrast removed entirely.
- ResUnet with full resolution added.
2021-01-12 09:17:45 -07:00
James Betker
34f8c8641f
Support training imagenet classifier
2021-01-11 20:09:16 -07:00
James Betker
07168ecfb4
Enable vqvae to use a switched_conv variant
2021-01-09 20:53:14 -07:00
James Betker
61a86a3c1e
VQVAE
2021-01-07 10:20:15 -07:00
James Betker
9fed90393f
Add lucidrains pixpro trainer
2021-01-05 20:14:22 -07:00
James Betker
2c65b6b28e
More mods to support styledsr
2021-01-04 11:32:28 -07:00
James Betker
4d8064c32c
Modifications to allow partially trained stylegan discriminators to be used
2021-01-03 16:37:18 -07:00
James Betker
ce6524184c
Do the last commit but in a better way
2021-01-02 22:24:12 -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
193cdc6636
Move discriminators to the create_model paradigm
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Also cleans up a lot of old discriminator models that I have no intention
of using again.
2021-01-01 15:56:09 -07:00
James Betker
9864fe4c04
Fix for train.py
2021-01-01 11:59:00 -07:00
James Betker
0eb1f4dd67
Revert "Get rid of CUDA_VISIBLE_DEVICES"
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It is actually necessary for training in distributed mode. Only
do it then.
2020-12-31 10:31:40 -07:00
James Betker
1de1fa30ac
Disable refs and centers altogether in single_image_dataset
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I suspect that this might be a cause of failures on parallel datasets.
Plus it is unnecessary computation.
2020-12-31 10:13:24 -07:00