mrq ab673e0426 add cap for NAR-len training, to avoid any weird cases in early training where it'll just mess up and generate long lengths		2024-08-03 21:00:32 -05:00
..
__init__.py	naive model offloading support (handles automatically splitting parts of the model to requested device per memory constraints, either inferred or requested in the yaml, input tensors are automatically migrated to the right device, it SEEMS to work for training under the test trainer when split between GPU and CPU) (this was specifically only because that Flux imagegen model released so I can test it there)	2024-08-01 20:12:06 -05:00
distributed.py	suppress warning on exit about distributed not being cleaned up (because I updated my system)	2024-07-25 16:50:47 -05:00
pattern.py	oops, kept forgetting to actually pass in lang/tone tokens (despite not really using these at the moment)	2024-07-18 14:18:34 -05:00
sampler.py	added prom-less training / inferencing, some other things	2024-07-22 19:36:07 -05:00
trainer.py	add cap for NAR-len training, to avoid any weird cases in early training where it'll just mess up and generate long lengths	2024-08-03 21:00:32 -05:00
utils.py	oversight with using resize_modules	2024-08-02 20:28:49 -05:00
wrapper.py	ugh, finally got some form of offloading working (need to test if it works on different GPUs, but GPU and CPU offloading seems to work in the test trainer)	2024-08-01 22:43:39 -05:00