vall-e/vall_e/models
2025-03-04 14:53:02 -06:00
..
arch a birdie tells me i should probably use a different optimizer (also preliminary support for native sparse attention but I don't know if I'll use it) 2025-03-04 14:53:02 -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 a birdie tells me i should probably use a different optimizer (also preliminary support for native sparse attention but I don't know if I'll use it) 2025-03-04 14:53:02 -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 now that the new model seems a little more promising, i can re-document things non-cynically 2025-03-03 13:21:41 -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