mrq 387358bc8a fixes for the NAR-len model, and documentation some config options, and a better way to handle resizing modules on state_dict load		2024-07-31 20:35:09 -05:00
..
emb	added prom-less training / inferencing, some other things	2024-07-22 19:36:07 -05:00
engines	fixes for the NAR-len model, and documentation some config options, and a better way to handle resizing modules on state_dict load	2024-07-31 20:35:09 -05:00
ext
models	fixes for the NAR-len model, and documentation some config options, and a better way to handle resizing modules on state_dict load	2024-07-31 20:35:09 -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
__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	fixes for the NAR-len model, and documentation some config options, and a better way to handle resizing modules on state_dict load	2024-07-31 20:35:09 -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	fix weird regression in handling checkpoints when backend is local, but deepspeed checkpoints are in (it was handled with LoRA loading but not real loading...)	2024-07-30 22:15:56 -05:00
inference.py	fix weird regression in handling checkpoints when backend is local, but deepspeed checkpoints are in (it was handled with LoRA loading but not real loading...)	2024-07-30 22:15:56 -05:00
plot.py
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