vall-e/vall_e
2024-06-01 09:46:32 -05:00
..
emb
engines
ext
models
utils actually save per-rank sampler states 2024-06-01 09:46:32 -05:00
__init__.py
__main__.py
config.py actually don't default to compute split losses, test bitnet model doesn't seem to be doing things right (despite debug printouts showing theyre roughly the same logit/loss sequences, could just be bitnet linears being not up to par on actual models) 2024-06-01 09:12:51 -05:00
data.py split sampler dict by global_rank, also handle splitting dataset paths by global_rank if sampler_type == path (because I do not trust DistributedSampler) (need to test) 2024-06-01 09:29:49 -05:00
export.py
inference.py
plot.py
samplers.py
train.py
webui.py