|
|
100ca6b7d0
|
added option to use SGD optimizer through the YAML, added option to pass in additional optimizer parameters through the YAML, added experimental unified AR+NAR model (does not seem fruitful in testing)
|
2023-09-06 18:58:35 -05:00 |
|
|
|
2f9cd0842f
|
merged dedicated interleaved AR code with the normal AR code
|
2023-09-03 22:46:08 -05:00 |
|
|
|
8a6c203277
|
added per-speaker samplers
|
2023-09-03 21:27:13 -05:00 |
|
|
|
2f06166ddd
|
cleanups
|
2023-09-01 21:33:51 -05:00 |
|
|
|
e40c0d34a0
|
somewhat got recurrent forward working (it's as accurate as chunkwise forward: it's not accurate at all), added option to use AMP instead of blanket setting the weight's dtype
|
2023-09-01 20:58:29 -05:00 |
|
|
|
2bc2d08b09
|
(need to verify) added modifying model size and config bool to align with VALL-E continuous' methodology
|
2023-09-01 17:19:34 -05:00 |
|
|
|
165a1154e0
|
Undo naive=False test flag, this shouldn't have made its way in
|
2023-08-26 22:00:43 -05:00 |
|
|
|
78378ed1ce
|
overhauled dataloading code to be marginally faster, mostly cleaned up, and can leverage a metadata json to help things out
|
2023-08-26 19:53:23 -05:00 |
|
|
|
2d1a9f10c0
|
nightmare of spaghetti that might break compat; mechanism to increase RVQ bins of an existing model without retraining, keeps sampled proms/resps at max RVQ level and trim off excess levels according to what model receives them, some other things I already forgot (I really hope no one else has weights being baked right now)
|
2023-08-19 15:06:33 -05:00 |
|
|
|
2a71486cb6
|
preparing for SpeechX extensions
|
2023-08-18 20:58:07 -05:00 |
|
|
|
d7deaf6def
|
distributed training works now (hopefully)
|
2023-08-13 22:07:45 -05:00 |
|
|
|
c85101403f
|
big cleanup
|
2023-08-03 20:26:36 -05:00 |
|
|
|
2e03e5ac93
|
Fixed an issue with having fairseq installed at all will brick logging
|
2023-08-02 22:57:10 -05:00 |
|
|
|
7a06b27a9c
|
Tweaks
|
2023-08-02 22:06:39 +00:00 |
|
