vall-e/vall_e/models
2025-03-08 17:10:50 -06:00
..
arch another optimization (within the dataloader because the similar utterance sampler was mondo slow) 2025-03-08 17:10:50 -06:00
__init__.py segregated experimental changes into its own streamlined file to avoid breaking the existing model, and it can pivot to the cleaned up code if it actually works (nothing is working) 2025-02-26 21:26:13 -06:00
ar_nar_v2.py one more time (could have sworn i tested it with batch size > 1) 2025-03-07 19:14:33 -06:00
ar_nar.py a gorillionth time's the charm (aka: the encoder/decoder pill is a tough pill to swallow) 2025-02-28 17:56:50 -06:00
base_v2.py another optimization (within the dataloader because the similar utterance sampler was mondo slow) 2025-03-08 17:10:50 -06:00
base.py fix attention backend not being used 2025-02-27 21:38:38 -06:00
lora.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