mrq 165a1154e0 Undo naive=False test flag, this shouldn't have made its way in		2023-08-26 22:00:43 -05:00
..
emb	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
engines	fixes with the local backend	2023-08-24 17:05:56 -05:00
models	Undo naive=False test flag, this shouldn't have made its way in	2023-08-26 22:00:43 -05:00
utils	fixes with the local backend	2023-08-24 17:05:56 -05:00
__init__.py
__main__.py	inferencing cleanup	2023-08-20 21:36:02 -05:00
config.py	Undo naive=False test flag, this shouldn't have made its way in	2023-08-26 22:00:43 -05:00
data.py	Undo naive=False test flag, this shouldn't have made its way in	2023-08-26 22:00:43 -05:00
export.py	ops	2023-08-20 13:42:18 -05:00
inference.py	I think I fixed a bug?	2023-08-24 23:33:36 -05:00
train.py	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