James Betker
b3def182de
move processing pipeline to "phase_1"
2022-03-08 15:49:51 -07:00
James Betker
30ddac69aa
lots of bad entries
2022-03-05 23:15:59 -07:00
James Betker
dcf98df0c2
++
2022-03-05 23:12:34 -07:00
James Betker
64d764ccd7
fml
2022-03-05 23:11:10 -07:00
James Betker
ef63ff84e2
pvd2
2022-03-05 23:08:39 -07:00
James Betker
1a05712764
pvd
2022-03-05 23:05:29 -07:00
James Betker
d1dc8dbb35
Support tts9
2022-03-05 20:14:36 -07:00
James Betker
93a3302819
Push training_state data to CPU memory before saving it
...
For whatever reason, keeping this on GPU memory just doesn't work.
When you load it, it consumes a large amount of GPU memory and that
utilization doesn't go away. Saving to CPU should fix this.
2022-03-04 17:57:33 -07:00
James Betker
6000580e2e
df
2022-03-04 13:47:00 -07:00
James Betker
382681a35d
Load diffusion_fid DVAE into the correct cuda device
2022-03-04 13:42:14 -07:00
James Betker
e1052a5e32
Move log consensus to train for efficiency
2022-03-04 13:41:32 -07:00
James Betker
ce6dfdf255
Distributed "fixes"
2022-03-04 12:46:41 -07:00
James Betker
3ff878ae85
Accumulate loss & grad_norm metrics from all entities within a distributed graph
2022-03-04 12:01:16 -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
f490eaeba7
Shuffle optimizer states back and forth between cpu memory during steps
2022-03-04 10:38:51 -07:00
James Betker
3c242403f5
adjust location of pre-optimizer step so I can visualize the new grad norms
2022-03-04 08:56:42 -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
ba155e4e2f
script for uploading models to the HF hub
2022-02-27 14:48:38 -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
f458f5d8f1
abort early if losses reach nan too much, and save the model
2022-02-24 20:55:30 -07:00
James Betker
18dc62453f
Don't step if NaN losses are encountered.
2022-02-24 17:45:08 -07:00
James Betker
ea500ad42a
Use clustered masking in udtts7
2022-02-24 07:57:26 -07:00
James Betker
7c17c8e674
gurgl
2022-02-23 21:28:24 -07:00
James Betker
e6824e398f
Load dvae to cpu
2022-02-23 21:21:45 -07:00
James Betker
81017d9696
put frechet_distance on cuda
2022-02-23 21:21:13 -07:00
James Betker
9a7bbf33df
f
2022-02-23 18:03:38 -07:00
James Betker
68726eac74
.
2022-02-23 17:58:07 -07:00
James Betker
b7319ab518
Support vocoder type diffusion in audio_diffusion_fid
2022-02-23 17:25:16 -07:00
James Betker
58f6c9805b
adf
2022-02-22 23:12:58 -07:00
James Betker
03752c1cd6
Report NaN
2022-02-22 23:09:37 -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
896ac029ae
allow continuation of samples encountered
2022-02-21 19:12:50 -07:00
James Betker
6313a94f96
eval: integrate a n-gram language model into decoding
2022-02-21 19:12:34 -07:00
James Betker
af50afe222
pairedvoice: error out if clip is too short
2022-02-21 19:11:10 -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
bcba65c539
DataParallel Fix
2022-02-19 20:36:35 -07:00
James Betker
34001ad765
et
2022-02-18 18:52:33 -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
a813fbed9c
Update to evaluator
2022-02-17 17:30:33 -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
8f767b8b4f
...
2022-02-15 07:08:17 -07:00
James Betker
29e07913a8
Fix
2022-02-15 06:58:11 -07:00
James Betker
dd585df772
LAMB optimizer
2022-02-15 06:48:13 -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
e16af944c0
BSO fix
2022-02-12 20:01:04 -07:00
James Betker
29534180b2
w2v fine tuner
2022-02-12 20:00:59 -07:00
James Betker
0c3cc5ebad
use script updates to fix output size disparities
2022-02-12 20:00:46 -07:00
James Betker
15fd60aad3
Allow EMA training to be disabled
2022-02-12 20:00:23 -07:00
James Betker
3252972057
ctc_code_gen mods
2022-02-12 19:59:54 -07:00
James Betker
35170c77b3
fix sweep
2022-02-11 11:43:11 -07:00
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
