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Author SHA1 Message Date
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