mrq 52d13b321f I rather have it default to non-strict loading instead so I can clean up YAMLs		2024-07-30 22:24:38 -05:00
..
emb
engines	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
ext
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
__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	I rather have it default to non-strict loading instead so I can clean up YAMLs	2024-07-30 22:24:38 -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
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