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1165 Commits

Author SHA1 Message Date
James Betker
e19c00398e More improvements to random_mp3_splitter 2021-08-09 21:31:12 -06:00
James Betker
04d14b3acc No batch factors for eval 2021-08-09 16:02:01 -06:00
James Betker
82fc69abfa Add "pure" evaluator 
Which simply computes the training loss against an eval dataset
 2021-08-09 14:58:35 -06:00
James Betker
080bea2f19 No, really 2021-08-09 12:02:31 -06:00
James Betker
e1ce4671e4 Apply dropout to gpt_tts, get rid of min_gpt implementation 2021-08-09 12:01:10 -06:00
James Betker
74342b860b Revert "Undo forced text padding" 
This reverts commit 83ab5e6a00.
 2021-08-09 11:56:34 -06:00
James Betker
1068f53b78 Add a sampling beam search 2021-08-09 11:56:06 -06:00
James Betker
d4e33bf15f Fixes to the mp3 splitter 2021-08-09 11:55:46 -06:00
James Betker
4100469902 Add a tool to split mp3 files into arbitrary chunks of wav files 2021-08-08 23:23:13 -06:00
James Betker
01cfae28d8 Beam search implementation in one pass? Dayyyum 2021-08-08 23:22:42 -06:00
James Betker
83ab5e6a00 Undo forced text padding 2021-08-08 11:42:20 -06:00
James Betker
690d7e86d3 Fix nv_tacotron_dataset bug which incorrectly mapped filenames 
dammit..
 2021-08-08 11:38:52 -06:00
James Betker
a2afb25e42 Fix inference, always flow full text tokens through transformer 2021-08-07 20:11:10 -06:00
James Betker
4c678172d6 ugh 2021-08-06 22:10:18 -06:00
James Betker
e723137273 Make gpttts more configurable 2021-08-06 22:08:51 -06:00
James Betker
a7496b661c combined dvae ftw 2021-08-06 22:01:06 -06:00
James Betker
0237e96b34 Fix dvae bug 2021-08-06 14:17:01 -06:00
James Betker
0799d95af5 Use quantizer from rosinality/vqvae with openai dvae 2021-08-06 14:06:26 -06:00
James Betker
d3ace153af Add logic for performing inference using gpt_tts with dual-encoder modes 2021-08-06 12:04:12 -06:00
James Betker
b43683b772 Add lucidrains_dvae 2021-08-06 12:03:46 -06:00
James Betker
62c7570512 Constrain wav_aug a bit more 2021-08-06 08:19:38 -06:00
James Betker
f126040da2 Undo noise first 2021-08-05 23:24:38 -06:00
James Betker
908ef5495f Add noise first to audio_aug 2021-08-05 23:22:44 -06:00
James Betker
d6007c6de1 dataset fixes 2021-08-05 23:12:59 -06:00
James Betker
3ca51e80b2 Only fix weird path bug in windows 2021-08-05 22:21:25 -06:00
James Betker
70dcd1107f Fix byol_model_wrapper to function with audio inputs 2021-08-05 22:20:22 -06:00
James Betker
f86df53ce0 Export extract_byol_model as a function 2021-08-05 22:15:26 -06:00
James Betker
89d15c9e74 Move gpt-tts back to lucidrains implementation 
Much better performance.
 2021-08-05 22:15:13 -06:00
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
4017236ba9 Fix up inference for gpt_tts 2021-08-05 06:46:30 -06:00
James Betker
5037220ac7 Mods to support contrastive learning on audio files 2021-08-05 05:57:04 -06:00
James Betker
341f28dd82 It works! 2021-08-04 20:07:51 -06:00
James Betker
36c7c1fbdb Fix training flow for NEXT TOKEN prediction instead of same token prediction 
doh
 2021-08-04 10:28:09 -06:00
James Betker
d9936df363 Add gpt_tts dataset and implement inference 
- Adds a script which preprocesses quantized mels given a DVAE
- Adds a dataset which can consume preprocessed qmels
- Reworks GPT TTS to consume the outputs of that dataset (removes logic to add padding and start/end tokens)
- Adds inference to gpt_tts
 2021-08-04 00:44:04 -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
965f6e6b52 Fixes to weight_decay in adamw 2021-07-31 15:58:41 -06:00
James Betker
0c9e75bc69 Improvements to GptTts 2021-07-31 15:57:57 -06:00
James Betker
31ee9ae262 Checkin 2021-07-30 23:07:35 -06:00
James Betker
dadc54795c Add gpt_tts 2021-07-27 20:33:30 -06:00
James Betker
398185e109 More work on wave-diffusion 2021-07-27 05:36:17 -06:00
James Betker
49e3b310ea Allow audio sample rate interpolation for faster training 2021-07-26 17:44:06 -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
2325e7a88c Allow inference for vqvae 2021-07-20 10:40:05 -06:00
James Betker
d81386c1be Mods to support vqvae in audio mode (1d) 2021-07-20 08:36:46 -06:00
James Betker
5584cfcc7a tacotron2 work 2021-07-14 21:41:57 -06:00
James Betker
fe0c699ced Various fixes 2021-07-14 00:08:42 -06:00
James Betker
be2745f42d Add waveglow & inference capabilities to audio generator 2021-07-08 23:07:36 -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 
These two are tested, full support for training to come.
 2021-07-06 11:11:35 -06:00
James Betker
3801d5d55e diffusion surfin' 2021-07-06 09:36:52 -06:00
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
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 
- 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
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
James Betker
17555e7d07 misc adjustments for stylegan 2021-04-21 18:14:17 -06:00
James Betker
b687ef4cd0 Misc 2021-04-21 18:09:46 -06:00
James Betker
94e069bced Misc changes 2021-03-13 10:45:26 -07:00
James Betker
9fc3df3f5b Switched conv: add conversion function with allowlist 2021-03-13 10:44:56 -07:00
James Betker
cf9a6da889 Fix some bugs, checkin work on vqvae3 2021-03-02 20:56:19 -07:00
James Betker
f89ea5f1c6 Mods to support lightweight_gan model 2021-03-02 20:51:48 -07:00
James Betker
543d459b4e extract_temporal_squares script 
For extracting related patches across a video
 2021-02-08 08:10:24 -07:00
James Betker
39fd755baa New benchmark numbers 2021-02-08 08:09:41 -07:00
James Betker
784b96c059 Misc options to add support for training stylegan2-rosinality models: 
- 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
e7be4bdff3 Revert 2021-02-05 08:43:07 -07:00
James Betker
6dec1f5968 Back to groupnorm 2021-02-05 08:42:11 -07:00
James Betker
336f807c8e lambda2 2021-02-05 00:00:24 -07:00
James Betker
025a5867c4 Use syncbatchnorm instead 2021-02-04 22:26:36 -07:00
James Betker
bb79fafb89 Fix groupnorm specification 2021-02-04 22:15:38 -07:00
James Betker
43da1f9c4b Convert lambda coupler to use groupnorm instead of batchnorm 2021-02-04 21:59:44 -07:00
James Betker
7070142805 Make vqvae3_hard more configurable 2021-02-04 09:03:22 -07:00
James Betker
b980028ca8 Add get_debug_values for vqvae_3_hardswitch 2021-02-03 14:12:24 -07:00
James Betker
1405ff06b8 Fix SwitchedConvHardRoutingFunction for current cuda router 2021-02-03 14:11:55 -07:00
James Betker
d7bec392dd ... 2021-02-02 23:50:25 -07:00
James Betker
b0a8fa00bc Visual dbg in vqvae3hs 2021-02-02 23:50:01 -07:00
James Betker
f5f91850fd hardswitch variant of vqvae3 2021-02-02 21:00:04 -07:00
James Betker
320edbaa3c Move switched_conv logic around a bit 2021-02-02 20:41:24 -07:00
James Betker
0dca36946f Hard Routing mods 
- Turns out my custom convolution was RIDDLED with backwards bugs, which is
   why the existing implementation wasn't working so well.
- Implements the switch logic from both Mixture of Experts and Switch Transformers
  for testing purposes.
 2021-02-02 20:35:58 -07:00
James Betker
29c1c3bede Register vqvae3 2021-01-29 15:26:28 -07:00
James Betker
bc20b4739e vqvae3 
Changes VQVAE as so:
- Reverts back to smaller codebook
- Adds an additional conv layer at the highest resolution for both the encoder & decoder
- Uses LeakyReLU on trunk
 2021-01-29 15:24:26 -07:00
James Betker
96bc80313c Add switch norm, up dropout rate, detach selector 2021-01-26 09:31:53 -07:00
James Betker
97d895aebe Add SrPixLoss, which focuses pixel-based losses on high-frequency regions 
of the image.
 2021-01-25 08:26:14 -07:00
James Betker
2cdac6bd09 Add PWCNet for human optical flow 2021-01-25 08:25:44 -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
ae4ff4a1e7 Enable lambda visualization 2021-01-23 15:53:27 -07:00
James Betker
10ec6bda1d lambda nets in switched_conv and a vqvae to use it 2021-01-23 14:57:57 -07:00
James Betker
b374dcdd46 update vqvae to double codebook size for bottom quantizer 2021-01-23 13:47:07 -07:00