Commit Graph

1575 Commits

Author SHA1 Message Date
James Betker
c6b6d120fe fix ranking 2022-02-11 11:34:57 -07:00
James Betker
095944569c deep_update dicts 2022-02-11 11:32:25 -07:00
James Betker
ab1f6e8ac6 deepcopy map 2022-02-11 11:29:32 -07:00
James Betker
496fb81997 use fork instead 2022-02-11 11:22:25 -07:00
James Betker
4abc094b47 fix train bug 2022-02-11 11:18:15 -07:00
James Betker
006add64c5 sweep fix 2022-02-11 11:17:08 -07:00
James Betker
102142d1eb f 2022-02-11 11:05:13 -07:00
James Betker
40b08a52d0 dafuk 2022-02-11 11:01:31 -07:00
James Betker
f6a7f12cad Remove broken evaluator 2022-02-11 11:00:29 -07:00
James Betker
46b97049dc Fix eval 2022-02-11 10:59:32 -07:00
James Betker
5175b7d91a training sweeper checkin 2022-02-11 10:46:37 -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
d1d1ae32a1 audio diffusion frechet distance measurement! 2022-02-10 22:55:46 -07:00
James Betker
23a310b488 Fix BSO 2022-02-10 20:54:51 -07:00
James Betker
1e28e02f98 BSO improvement to make it work with distributed optimizers 2022-02-10 09:53:13 -07:00
James Betker
836eb08afb Update BSO to use the proper step size 2022-02-10 09:44:15 -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
a930f2576e Begin a migration to specifying training rate on megasamples instead of arbitrary "steps"
This should help me greatly in tuning models.  It's also necessary now that batch size isn't really
respected; we simply step once the gradient direction becomes unstable.
2022-02-09 17:25:05 -07:00
James Betker
93ca619267 script updates 2022-02-09 14:26:52 -07:00
James Betker
ddb77ef502 ctc_code_gen: use a mean() on the ConditioningEncoder 2022-02-09 14:26:44 -07:00
James Betker
3d946356f8 batch_size_optimizer works. sweet! no more tuning batch sizes. 2022-02-09 14:26:23 -07:00
James Betker
18938248e4 Add batch_size_optimizer support 2022-02-08 23:51:31 -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
f44b064c5e Update scripts 2022-02-07 19:43:18 -07:00
James Betker
34fbb78671 Straight CtcCodeGenerator as an encoder 2022-02-07 15:46:46 -07:00
James Betker
c24682c668 Record load times in fast_paired_dataset 2022-02-07 15:45:38 -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
de1a1d501a Move audio injectors into their own file 2022-02-03 21:42:37 -07:00
James Betker
687393de59 Add a better split_on_silence (processing_pipeline)
Going to extend this a bit more going forwards to support the entire pipeline.
2022-02-03 20:00:26 -07:00
James Betker
1d29999648 Uupdates to the TTS production scripts 2022-02-03 20:00:01 -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
0152174c0e Add wandb_step_factor argument 2022-01-27 19:58:58 -07:00
James Betker
e0e36ed98c Update use_diffuse_tts 2022-01-27 19:57:28 -07:00
James Betker
a77d376ad2 rename unet diffusion tts and add 3 2022-01-27 19:56:24 -07:00
James Betker
7badbf1b4d update usage scripts 2022-01-25 17:57:26 -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
798ed7730a i like wasting time 2022-01-24 18:12:08 -07:00
James Betker
fc09cff4b3 angry 2022-01-24 18:09:29 -07:00
James Betker
cc0d9f7216 Fix 2022-01-24 18:05:45 -07:00
James Betker
3a9e3a9db3 consolidate state 2022-01-24 17:59:31 -07:00
James Betker
dfef34ba39 Load ema to cpu memory if specified 2022-01-24 15:08:29 -07:00
James Betker
49edffb6ad Revise device mapping 2022-01-24 15:08:13 -07:00
James Betker
33511243d5 load model state dicts into the correct device
it's not clear to me that this will make a huge difference, but it's a good idea anyways
2022-01-24 14:40:09 -07:00
James Betker
3e16c509f6 Misc fixes 2022-01-24 14:31:43 -07:00
James Betker
e2ed0adbd8 use_diffuse_tts updates 2022-01-24 14:31:28 -07:00
James Betker
e420df479f Allow steps to specify which state keys to carry forward (reducing memory utilization) 2022-01-24 11:01:27 -07:00
James Betker
62475005e4 Sort data items in descending order, which I suspect will improve performance because we will hit GC less 2022-01-23 19:05:32 -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
ce929a6b3f Allow grad scaler to be enabled even in fp32 mode 2022-01-21 23:13:24 -07:00
James Betker
91b4b240ac dont pickle unique files 2022-01-21 00:02:06 -07:00
James Betker
7fef7fb9ff Update fast_paired_dataset to report how many audio files it is actually using 2022-01-20 21:49:38 -07:00
James Betker
ed35cfe393 Update inference scripts 2022-01-20 11:28:50 -07:00
James Betker
20312211e0 Fix bug in code alignment 2022-01-20 11:28:12 -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
b6190e96b2 fast_paired 2022-01-17 15:46:02 -07:00
James Betker
1d30d79e34 De-specify fast-paired-dataset 2022-01-16 21:20:00 -07:00
James Betker
2b36ca5f8e Revert paired back 2022-01-16 21:10:46 -07:00
James Betker
ad3e7df086 Split the fast random into its own new dataset 2022-01-16 21:10:11 -07:00
James Betker
7331862755 Updated paired to randomly index data, offsetting memory costs and speeding up initialization 2022-01-16 21:09:22 -07:00
James Betker
37e4e737b5 a few fixes 2022-01-16 15:17:17 -07:00
James Betker
35db5ebf41 paired_voice_audio_dataset - aligned codes support 2022-01-15 17:38:26 -07:00
James Betker
3f177cd2b3 requirements 2022-01-15 17:28:59 -07:00
James Betker
b398ecca01 wer fix 2022-01-15 17:28:17 -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
87c83e4957 update wer script 2022-01-13 17:08:49 -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
d4e27ccf62 misc updates 2022-01-11 16:25:40 -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
James Betker
ec456b6733 Revert unified_voice back to beginning
I'll be doing my work within unified_voice2
2022-01-09 22:34:30 -07:00
James Betker
432073c5ca Make performer code functional 2022-01-09 22:32:50 -07:00
James Betker
f474a7ac65 unified_voice2 2022-01-09 22:32:34 -07:00
James Betker
c075fe72e2 import performer repo 2022-01-09 22:10:07 -07:00
James Betker
7de3874f15 Make dalle transformer checkpointable 2022-01-09 19:14:35 -07:00
James Betker
70b17da193 Alter unified_voice to use extensible transformer (still WIP) 2022-01-08 22:18:25 -07:00
James Betker
15d9517e26 Allow bi-directional clipping 2022-01-08 22:18:04 -07:00
James Betker
894d245062 More zero_grad fixes 2022-01-08 20:31:19 -07:00
James Betker
8bade38180 Add generic CLIP model based off of x_clip 2022-01-08 19:08:01 -07:00
James Betker
2a9a25e6e7 Fix likely defective nan grad recovery 2022-01-08 18:24:58 -07:00
James Betker
438dd9ed33 fix text-voice-clip bug 2022-01-08 08:55:00 -07:00
James Betker
34774f9948 unified_voice: begin decoupling from HF GPT
I'd like to try some different (newer) transformer variants. The way to get
there is softly decoupling the transformer portion of this architecture
from GPT. This actually should be fairly easy.
2022-01-07 22:51:24 -07:00
James Betker
1f6a5310b8 More fixes to use_gpt_tts 2022-01-07 22:30:55 -07:00
James Betker
68090ac3e9 Finish up the text->voice clip model 2022-01-07 22:28:45 -07:00
James Betker
65ffe38fce misc 2022-01-06 22:16:17 -07:00
James Betker
6706591d3d Fix dataset 2022-01-06 15:24:37 -07:00
James Betker
f4484fd155 Add "dataset_debugger" support
This allows the datasets themselves compile statistics and report them
via tensorboard and wandb.
2022-01-06 12:38:20 -07:00
James Betker
f3cab45658 Revise audio datasets to include interesting statistics in batch
Stats include:
- How many indices were skipped to retrieve a given index
- Whether or not a conditioning input was actually the file itself
2022-01-06 11:15:16 -07:00
James Betker
06c1093090 Remove collating from paired_voice_audio_dataset
This will now be done at the model level, which is more efficient
2022-01-06 10:29:39 -07:00
James Betker
e7a705fe6e Make gpt_asr_hf2 more efficient at inference 2022-01-06 10:27:10 -07:00
James Betker
5e1d1da2e9 Clean paired_voice 2022-01-06 10:26:53 -07:00
James Betker
525addffab Unified: automatically clip inputs according to specified max length to improve inference time 2022-01-06 10:13:45 -07:00
James Betker
61cd351b71 update unified 2022-01-06 09:48:11 -07:00
James Betker
10fd1110be Fix (?) use_gpt_tts for unified_voice 2022-01-05 20:09:31 -07:00
James Betker
3c4301f085 Remove dvae_arch_playground 2022-01-05 17:06:45 -07:00
James Betker
a63a17e48f Remove deepspeech models 2022-01-05 17:05:13 -07:00
James Betker
c584ba05ee unified_voice improvements
- Rename max_symbols_per_phrase to max_text_tokens
- Remove max_total_tokens (no longer necessary)
- Fix integration with MelEncoder
2022-01-05 17:03:53 -07:00
James Betker
50d267ab1a misc 2022-01-05 17:01:22 -07:00
James Betker
0fe34f57d1 Use torch resampler 2022-01-05 15:47:22 -07:00
James Betker
38aba6f88d Another dumdum fix 2022-01-04 15:18:25 -07:00
James Betker
963c6072bb Add mel_encoder and solo embeddings to unified_voice 2022-01-04 15:15:58 -07:00
James Betker
2165124f19 Add GPT documentation 2022-01-01 21:00:07 -07:00
James Betker
2635412291 doh 2022-01-01 14:29:59 -07:00
James Betker
d4a6298658 more debugging 2022-01-01 14:25:27 -07:00
James Betker
d8111e0477 misc 2022-01-01 14:05:33 -07:00
James Betker
dc535b5358 better bounds 2022-01-01 14:05:22 -07:00
James Betker
fe9ea4e01a auto-fix text_inputs too big 2022-01-01 13:25:47 -07:00
James Betker
35abefd038 More fix 2022-01-01 10:31:03 -07:00
James Betker
d5a5111890 Fix collating on by default on grand_conjoined 2022-01-01 10:30:15 -07:00
James Betker
4d9ba4a48a can i has fix now 2022-01-01 00:48:27 -07:00
James Betker
56752f1dbc Fix collator bug 2022-01-01 00:33:31 -07:00
James Betker
c28d8770c7 fix tensor lengths 2022-01-01 00:23:46 -07:00
James Betker
bbacffb790 dataset improvements and fix to unified_voice_Bilevel 2022-01-01 00:16:30 -07:00
James Betker
eda753e776 Allow conditioning shuffling to be disabled 2021-12-31 23:32:08 -07:00
James Betker
17fb934575 wer update 2021-12-31 16:21:39 -07:00
James Betker
f0c4cd6317 Taking another stab at a BPE tokenizer 2021-12-30 13:41:24 -07:00
James Betker
9aa06542cd Further reduce the complexity of the MEL encoder in GptAsrHf 2021-12-30 09:10:40 -07:00
James Betker
f2cd6a7f08 For loading conditional clips, default to falling back to loading the clip itself 2021-12-30 09:10:14 -07:00
James Betker
5ae7e0d9b0 Fix gapping bug in voice2voice clip 2021-12-29 14:44:46 -07:00
James Betker
51ce1b5007 Add conditioning clips features to grand_conjoined 2021-12-29 14:44:32 -07:00
James Betker
b12f47b36d Add some noise to voice_voice_clip 2021-12-29 13:56:30 -07:00
James Betker
c6ef0eef0b asdf 2021-12-29 10:07:39 -07:00
James Betker
53784ec806 grand conjoined dataset: support collating 2021-12-29 09:44:37 -07:00
James Betker
8a02ba5935 Transit s2s clips back to CPU memory after processing 2021-12-29 08:54:07 -07:00
James Betker
af6d5cd526 Add resume into speech-speech 2021-12-29 08:50:49 -07:00
James Betker
0e4bcc33ab Additional debugging 2021-12-29 00:23:27 -07:00