vall-e/vall_e/utils
2024-08-01 22:43:39 -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 suppress warning on exit about distributed not being cleaned up (because I updated my system) 2024-07-25 16:50:47 -05:00
utils.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
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