mrq 07f8e2ad06 added option to set the causal size (how many tokens to sample per AR step), but requires the model to be trained for this (which explains why recurrent chunk sampling just doesn't work for the retnet tests, obvious in hindsight)		2024-07-30 20:53:51 -05:00
..
emb	added prom-less training / inferencing, some other things	2024-07-22 19:36:07 -05:00
engines	suppress warning on exit about distributed not being cleaned up (because I updated my system)	2024-07-25 16:50:47 -05:00
ext	fixes	2024-06-04 00:07:00 -05:00
models	added option to set the causal size (how many tokens to sample per AR step), but requires the model to be trained for this (which explains why recurrent chunk sampling just doesn't work for the retnet tests, obvious in hindsight)	2024-07-30 20:53:51 -05:00
utils	sanity cleanups with weird off-by-one-ness, cleaned up and validated vall_e.models.experimental works again	2024-07-27 15:36:05 -05:00
__init__.py	Rewrite init	2023-08-02 21:53:35 +00:00
__main__.py	added option to set the causal size (how many tokens to sample per AR step), but requires the model to be trained for this (which explains why recurrent chunk sampling just doesn't work for the retnet tests, obvious in hindsight)	2024-07-30 20:53:51 -05:00
config.py	added option to set the causal size (how many tokens to sample per AR step), but requires the model to be trained for this (which explains why recurrent chunk sampling just doesn't work for the retnet tests, obvious in hindsight)	2024-07-30 20:53:51 -05:00
data.py	sanity cleanups with weird off-by-one-ness, cleaned up and validated vall_e.models.experimental works again	2024-07-27 15:36:05 -05:00
demo.py	actually pass language into dataset process script, fix coercing japanese into hiragana because espeak does not like kanji	2024-07-21 23:21:37 -05:00
export.py	might help	2024-07-22 20:57:01 -05:00
inference.py	added what I think is DRY sampling	2024-07-29 19:15:07 -05:00
plot.py	ugh	2024-06-09 11:39:43 -05:00
samplers.py	possible speedup for samplers that require a list of previous tokens (the DRY sampler made me realize that I should copy the tolist() thing from the rep pen sampler for everything else)	2024-07-29 20:23:26 -05:00
train.py	sanity cleanups with weird off-by-one-ness, cleaned up and validated vall_e.models.experimental works again	2024-07-27 15:36:05 -05:00
webui.py	added option to set the causal size (how many tokens to sample per AR step), but requires the model to be trained for this (which explains why recurrent chunk sampling just doesn't work for the retnet tests, obvious in hindsight)	2024-07-30 20:53:51 -05:00