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1205 Commits

Author SHA1 Message Date
James Betker
e011166dd6 autoregressive_codegen r3 2022-04-06 21:04:23 -06:00
James Betker
33ef17e9e5 fix context 2022-04-06 00:45:42 -06:00
James Betker
37bdfe82b2 Modify x_transformers to do checkpointing and use relative positional biases 2022-04-06 00:35:29 -06:00
James Betker
09879b434d bring in x_transformers 2022-04-06 00:21:58 -06:00
James Betker
cdd12ff46c Add code validation to autoregressive_codegen 2022-04-04 09:51:41 -06:00
James Betker
99de63a922 man I'm really on it tonight.... 2022-04-02 22:01:33 -06:00
James Betker
a4bdc80933 moikmadsf 2022-04-02 21:59:50 -06:00
James Betker
1cf20b7337 sdfds 2022-04-02 21:58:09 -06:00
James Betker
b6afc4d542 dsfa 2022-04-02 21:57:00 -06:00
James Betker
4c6bdfc9e2 get rid of relative position embeddings, which do not work with DDP & checkpointing 2022-04-02 21:55:32 -06:00
James Betker
b6d62aca5d add inference model on top of codegen 2022-04-02 21:25:10 -06:00
James Betker
2b6ff09225 autoregressive_codegen v1 2022-04-02 15:07:39 -06:00
James Betker
00767219fc undo latent converter change 2022-04-01 20:46:27 -06:00
James Betker
55c86e02c7 Flat fix 2022-04-01 19:13:33 -06:00
James Betker
8623c51902 fix bug 2022-04-01 16:11:34 -06:00
James Betker
f6a8b0a5ca prep flat0 for feeding from autoregressive_latent_converter 2022-04-01 15:53:45 -06:00
James Betker
3e97abc8a9 update flat0 to break out timestep-independent inference steps 2022-04-01 14:38:53 -06:00
James Betker
a6181a489b Fix loss gapping caused by poor gradients into mel_pred 2022-03-26 22:49:14 -06:00
James Betker
1feade23ff support x-transformers in text_voice_clip and support relative positional embeddings 2022-03-26 22:48:10 -06:00
James Betker
6909f196b4 make code pred returns optional 2022-03-26 08:33:30 -06:00
James Betker
2a29a71c37 attempt to force meaningful codes by adding a surrogate loss 2022-03-26 08:31:40 -06:00
James Betker
45804177b8 more stuff 2022-03-25 00:03:18 -06:00
James Betker
d4218d8443 mods 2022-03-24 23:31:20 -06:00
James Betker
a15970dd97 disable checkpointing in conditioning encoder 2022-03-24 11:49:04 -06:00
James Betker
cc5fc91562 flat0 work 2022-03-24 11:46:53 -06:00
James Betker
b0d2827fad flat0 2022-03-24 11:30:40 -06:00
James Betker
8707a3e0c3 drop full layers in layerdrop, not half layers 2022-03-23 17:15:08 -06:00
James Betker
57da6d0ddf more simplifications 2022-03-22 11:46:03 -06:00
James Betker
f3f391b372 undo sandwich 2022-03-22 11:43:24 -06:00
James Betker
927731f3b4 tts9: fix position embeddings snafu 2022-03-22 11:41:32 -06:00
James Betker
536511fc4b unified_voice: relative position encodings 2022-03-22 11:41:13 -06:00
James Betker
5405ce4363 fix flat 2022-03-22 11:39:39 -06:00
James Betker
e47a759ed8 ....... 2022-03-21 17:22:35 -06:00
James Betker
cc4c9faf9a resolve more issues 2022-03-21 17:20:05 -06:00
James Betker
9e97cd800c take the conditioning mean rather than the first element 2022-03-21 16:58:03 -06:00
James Betker
9c7598dc9a fix conditioning_free signal 2022-03-21 15:29:17 -06:00
James Betker
2a65c982ca dont double nest checkpointing 2022-03-21 15:27:51 -06:00
James Betker
723f324eda Make it even better 2022-03-21 14:50:59 -06:00
James Betker
e735d8e1fa unified_voice fixes 2022-03-21 14:44:00 -06:00
James Betker
1ad18d29a8 Flat fixes 2022-03-21 14:43:52 -06:00
James Betker
26dcf7f1a2 r2 of the flat diffusion 2022-03-21 11:40:43 -06:00
James Betker
c14fc003ed flat diffusion 2022-03-17 17:45:27 -06:00
James Betker
428911cd4d flat diffusion network 2022-03-17 10:53:56 -06:00
James Betker
bf08519d71 fixes 2022-03-17 10:53:39 -06:00
James Betker
95ea0a592f More cleaning 2022-03-16 12:05:56 -06:00
James Betker
d186414566 More spring cleaning 2022-03-16 12:04:00 -06:00
James Betker
8b376e63d9 More improvements 2022-03-16 10:16:34 -06:00
James Betker
0fc877cbc8 tts9 fix for alignment size 2022-03-15 21:43:14 -06:00
James Betker
f563a8dd41 fixes 2022-03-15 21:43:00 -06:00
James Betker
b754058018 Update wav2vec2 wrapper 2022-03-15 11:35:38 -06:00
James Betker
9c6f776980 Add univnet vocoder 2022-03-15 11:34:51 -06:00
James Betker
7929fd89de Refactor audio-style models into the audio folder 2022-03-15 11:06:25 -06:00
James Betker
f95d3d2b82 move waveglow to audio/vocoders 2022-03-15 11:03:07 -06:00
James Betker
bb03cbb9fc composable initial checkin 2022-03-15 10:35:40 -06:00
James Betker
86b0d76fb9 tts8 (incomplete, may be removed) 2022-03-15 10:35:31 -06:00
James Betker
eecbc0e678 Use wider spectrogram when asked 2022-03-15 10:35:11 -06:00
James Betker
9767260c6c tacotron stft - loosen bounds restrictions and clip 2022-03-15 10:31:26 -06:00
James Betker
f8631ad4f7 Updates to support inputting MELs into the conditioning encoder 2022-03-14 17:31:42 -06:00
James Betker
22c67ce8d3 tts9 mods 2022-03-13 10:25:55 -06:00
James Betker
8f130e2b3f add scale_shift_norm back to tts9 2022-03-12 20:42:13 -07:00
James Betker
73bfd4a86d another tts9 update 2022-03-12 15:17:06 -07:00
James Betker
0523777ff7 add efficient config to tts9 2022-03-12 15:10:35 -07:00
James Betker
1e87b934db potentially average conditioning inputs 2022-03-10 20:37:41 -07:00
James Betker
e6a95f7c11 Update tts9: Remove torchscript provisions and add mechanism to train solely on codes 2022-03-09 09:43:38 -07:00
James Betker
f56edb2122 minicoder with classifier head: spread out probability mass for 0 predictions 2022-03-08 15:51:31 -07:00
James Betker
29b2921222 move diffusion vocoder 2022-03-08 15:51:05 -07:00
James Betker
94222b0216 tts9 initial commit 2022-03-08 15:50:45 -07:00
James Betker
d1dc8dbb35 Support tts9 2022-03-05 20:14:36 -07:00
James Betker
79e5692388 Fix distributed bug 2022-03-04 11:58:53 -07:00
James Betker
f87e10ffef Make deterministic sampler work with distributed training & microbatches 2022-03-04 11:50:50 -07:00
James Betker
77c18b53b3 Cap grad booster 2022-03-04 10:40:24 -07:00
James Betker
2d1cb83c1d Add a deterministic timestep sampler, with provisions to employ it every n steps 2022-03-04 10:40:14 -07:00
James Betker
58019a2ce3 audio diffusion fid updates 2022-03-03 21:53:32 -07:00
James Betker
998c53ad4f w2v_matcher mods 2022-03-03 21:52:51 -07:00
James Betker
9029e4f20c Add a base-wrapper 2022-03-03 21:52:28 -07:00
James Betker
6873ad6660 Support functionality 2022-03-03 21:52:16 -07:00
James Betker
6af5d129ce Add experimental gradient boosting into tts7 2022-03-03 21:51:40 -07:00
James Betker
7ea84f1ac3 asdf 2022-03-03 13:43:44 -07:00
James Betker
3cd6c7f428 Get rid of unused codes in vq 2022-03-03 13:41:38 -07:00
James Betker
619da9ea28 Get rid of discretization loss 2022-03-03 13:36:25 -07:00
James Betker
beb7c8a39d asdf 2022-03-01 21:41:31 -07:00
James Betker
70fa780edb Add mechanism to export grad norms 2022-03-01 20:19:52 -07:00
James Betker
d9f8f92840 Codified fp16 2022-03-01 15:46:04 -07:00
James Betker
45ab444c04 Rework minicoder to always checkpoint 2022-03-01 14:09:18 -07:00
James Betker
db0c3340ac Implement guidance-free diffusion in eval 
And a few other fixes
 2022-03-01 11:49:36 -07:00
James Betker
2134f06516 Implement conditioning-free diffusion at the eval level 2022-02-27 15:11:42 -07:00
James Betker
436fe24822 Add conditioning-free guidance 2022-02-27 15:00:06 -07:00
James Betker
ac920798bb misc 2022-02-27 14:49:11 -07:00
James Betker
dbc74e96b2 w2v_matcher 2022-02-27 14:48:23 -07:00
James Betker
42879d7296 w2v_wrapper ramping dropout mode 
this is an experimental feature that needs some testing
 2022-02-27 14:47:51 -07:00
James Betker
c375287db9 Re-instate autocasting 2022-02-25 11:06:18 -07:00
James Betker
34ee32a90e get rid of autocasting in tts7 2022-02-24 21:53:51 -07:00
James Betker
ea500ad42a Use clustered masking in udtts7 2022-02-24 07:57:26 -07:00
James Betker
7201b4500c default text_to_sequence cleaners 2022-02-21 19:14:22 -07:00
James Betker
ba7f54c162 w2v: new inference function 2022-02-21 19:13:03 -07:00
James Betker
38802a96c8 remove timesteps from cond calculation 2022-02-21 12:32:21 -07:00
James Betker
668876799d unet_diffusion_tts7 2022-02-20 15:22:38 -07:00
James Betker
0872e17e60 unified_voice mods 2022-02-19 20:37:35 -07:00
James Betker
7b12799370 Reformat mel_text_clip for use in eval 2022-02-19 20:37:26 -07:00
James Betker
baf7b65566 Attempt to make w2v play with DDP AND checkpointing 2022-02-18 18:47:11 -07:00
James Betker
f3776f1992 reset ctc loss from "mean" to "sum" 2022-02-17 22:00:58 -07:00
James Betker
2b20da679c make spec_augment a parameter 2022-02-17 20:22:05 -07:00
James Betker
e1d71e1bd5 w2v_wrapper: get rid of ctc attention mask 2022-02-15 20:54:40 -07:00
James Betker
79e8f36d30 Convert CLIP models into new folder 2022-02-15 20:53:07 -07:00
James Betker
2bdb515068 A few mods to make wav2vec2 trainable with DDP on DLAS 2022-02-15 06:28:54 -07:00
James Betker
52b61b9f77 Update scripts and attempt to figure out how UnifiedVoice could be used to produce CTC codes 2022-02-13 20:48:06 -07:00
James Betker
a4f1641eea Add & refine WER evaluator for w2v 2022-02-13 20:47:29 -07:00
James Betker
29534180b2 w2v fine tuner 2022-02-12 20:00:59 -07:00
James Betker
3252972057 ctc_code_gen mods 2022-02-12 19:59:54 -07:00
James Betker
302ac8652d Undo mask during training 2022-02-11 09:35:12 -07:00
James Betker
618a20412a new rev of ctc_code_gen with surrogate LM loss 2022-02-10 23:09:57 -07:00
James Betker
820a29f81e ctc code gen mods 2022-02-10 09:44:01 -07:00
James Betker
ac9417b956 ctc_code_gen: mask out all padding tokens 2022-02-09 17:26:30 -07:00
James Betker
ddb77ef502 ctc_code_gen: use a mean() on the ConditioningEncoder 2022-02-09 14:26:44 -07:00
James Betker
9e9ae328f2 mild updates 2022-02-08 23:51:17 -07:00
James Betker
ff35d13b99 Use non-uniform noise in diffusion_tts6 2022-02-08 07:27:41 -07:00
James Betker
34fbb78671 Straight CtcCodeGenerator as an encoder 2022-02-07 15:46:46 -07:00
James Betker
65a546c4d7 Fix for tts6 2022-02-05 16:00:14 -07:00
James Betker
5ae816bead ctc gen checkin 2022-02-05 15:59:53 -07:00
James Betker
bb3d1ab03d More cleanup 2022-02-04 11:06:17 -07:00
James Betker
5cc342de66 Clean up 2022-02-04 11:00:42 -07:00
James Betker
8fb147e8ab add an autoregressive ctc code generator 2022-02-04 11:00:15 -07:00
James Betker
7f4fc55344 Update SR model 2022-02-03 21:42:53 -07:00
James Betker
bc506d4bcd Mods to unet_diffusion_tts6 to support super resolution mode 2022-02-03 19:59:39 -07:00
James Betker
4249681c4b Mods to support a autoregressive CTC code generator 2022-02-03 19:58:54 -07:00
James Betker
8132766d38 tts6 2022-01-31 20:15:06 -07:00
James Betker
fbea6e8eac Adjustments to diffusion networks 2022-01-30 16:14:06 -07:00
James Betker
e58dab14c3 new diffusion updates from testing 2022-01-29 11:01:01 -07:00
James Betker
935a4e853e get rid of nil tokens in <2> 2022-01-27 22:45:57 -07:00
James Betker
a77d376ad2 rename unet diffusion tts and add 3 2022-01-27 19:56:24 -07:00
James Betker
8c255811ad more fixes 2022-01-25 17:57:16 -07:00
James Betker
0f3ca28e39 Allow diffusion model to be trained with masking tokens 2022-01-25 14:26:21 -07:00
James Betker
d18aec793a Revert "(re) attempt diffusion checkpointing logic" 
This reverts commit b22eec8fe3.
 2022-01-22 09:14:50 -07:00
James Betker
b22eec8fe3 (re) attempt diffusion checkpointing logic 2022-01-22 08:34:40 -07:00
James Betker
8f48848f91 misc 2022-01-22 08:23:29 -07:00
James Betker
851070075a text<->cond clip 
I need that universal clip..
 2022-01-22 08:23:14 -07:00
James Betker
8ada52ccdc Update LR layers to checkpoint better 2022-01-22 08:22:57 -07:00
James Betker
8e2439f50d Decrease resolution requirements to 2048 2022-01-20 11:27:49 -07:00
James Betker
4af8525dc3 Adjust diffusion vocoder to allow training individual levels 2022-01-19 13:37:59 -07:00
James Betker
ac13bfefe8 use_diffuse_tts 2022-01-19 00:35:24 -07:00
James Betker
bcd8cc51e1 Enable collated data for diffusion purposes 2022-01-19 00:35:08 -07:00
James Betker
dc9cd8c206 Update use_gpt_tts to be usable with unified_voice2 2022-01-18 21:14:17 -07:00
James Betker
7b4544b83a Add an experimental unet_diffusion_tts to perform experiments on 2022-01-18 08:38:24 -07:00
James Betker
37e4e737b5 a few fixes 2022-01-16 15:17:17 -07:00
James Betker
9100e7fa9b Add a diffusion network that takes aligned text instead of MELs 2022-01-15 17:28:02 -07:00
James Betker
009a1e8404 Add a new diffusion_vocoder that should be trainable faster 
This new one has a "cheating" top layer, that does not feed down into the unet encoder,
but does consume the outputs of the unet. This cheater only operates on half of the input,
while the rest of the unet operates on the full input. This limits the dimensionality of this last
layer, on the assumption that these last layers consume by far the most computation and memory,
but do not require the full input context.

Losses are only computed on half of the aggregate input.
 2022-01-11 17:26:07 -07:00
James Betker
91f28580e2 fix unified_voice 2022-01-10 16:17:31 -07:00
James Betker
136744dc1d Fixes 2022-01-10 14:32:04 -07:00
James Betker
ee3dfac2ae unified_voice2: decouple positional embeddings and token embeddings from underlying gpt model 2022-01-10 08:14:41 -07:00
James Betker
f503d8d96b Partially implement performers in transformer_builders 2022-01-09 22:35:03 -07:00