Commit Graph

1451 Commits

Author SHA1 Message Date
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
James Betker
b24a51f0aa Check in speech2speech CLIP inference tool 2021-12-29 00:19:44 -07:00
James Betker
c1bef01dfa GptAsrHf2 checkin 2021-12-28 20:48:38 -07:00
James Betker
07c2b9907c Add voice2voice clip model 2021-12-28 16:18:12 -07:00
James Betker
a9ee5b624f Simplify and conform gpt_asr_hf2 2021-12-28 11:54:33 -07:00
James Betker
a5b4bee719 Improve asr_eval 2021-12-28 11:45:15 -07:00
James Betker
312f631c5b gpt_asr_hf2: remove dual positional embeddings 2021-12-28 10:57:45 -07:00
James Betker
93624fa4b2 Don't use tqdm in ranks!=0 2021-12-28 10:06:54 -07:00
James Betker
a12042ea99 Allow multi-embeddings to be disabled 2021-12-28 09:00:53 -07:00
James Betker
4a32949b0e update inference mode for unified 2021-12-26 15:33:21 -07:00
James Betker
a698d3f525 unified_voice: introduce paired embeddings 2021-12-26 15:33:05 -07:00
James Betker
6996dfd9d5 asr_hf2: add independent position embedders 2021-12-26 15:17:24 -07:00
James Betker
5b5cbc057c Work checkpoint for gpt asr hf2 2021-12-26 10:29:12 -07:00
James Betker
cd89e6b42e Initialize our embeddings the same way GPT-2 initializes theirs. 2021-12-26 00:20:30 -07:00
James Betker
8d01f7685c Get rid of absolute positional embeddings in unifiedvoice 2021-12-26 00:10:24 -07:00
James Betker
6700f8851d moar verbosity 2021-12-25 23:23:21 -07:00
James Betker
8acf3b3097 Better dimensional asserting 2021-12-25 23:18:25 -07:00
James Betker
e959541494 Add position embeddings back into unified_voice
I think this may be the solution behind the days problems.
2021-12-25 23:10:56 -07:00
James Betker
64cb4a92db Support adamw_zero 2021-12-25 21:32:01 -07:00
James Betker
776a7abfcc Support torch DDP _set_static_graph 2021-12-25 21:20:06 -07:00
James Betker
746392f35c Fix DS 2021-12-25 15:28:59 -07:00
James Betker
736c2626ee build in character tokenizer 2021-12-25 15:21:01 -07:00
James Betker
b595c62893 One way decoder for decoding from mel codes 2021-12-25 12:18:00 -07:00
James Betker
ab9cafa572 Make tokenization configs more configurable 2021-12-25 12:17:50 -07:00
James Betker
52410fd9d9 256-bpe tokenizer 2021-12-25 08:52:08 -07:00