James Betker ee8ceed6da rework tfd13 further ... - use a gated activation layer for both attention & convs - add a relativistic learned position bias. I believe this is similar to the T5 position encodings but it is simpler and learned - get rid of prepending to the attention matrix - this doesn't really work that well. the model eventually learns to attend one of its heads to these blocks but why not just concat if it is doing that?		2022-07-20 23:28:29 -06:00
..
__init__.py	Add sr_fid evaluator	2020-12-30 20:18:58 -07:00
audio_diffusion_fid.py	adf for ar-latent tfd	2022-06-15 16:41:08 -06:00
eval_wer.py	f	2022-05-27 13:47:05 -06:00
evaluator.py	Another fix	2021-06-14 09:51:44 -06:00
fid.py	Another fix	2021-06-14 09:51:44 -06:00
flow_gaussian_nll.py	more arbitrary fixes	2022-03-17 17:45:44 -06:00
mel_evaluator.py	Refactor audio-style models into the audio folder	2022-03-15 11:06:25 -06:00
music_diffusion_fid.py	rework tfd13 further	2022-07-20 23:28:29 -06:00
single_point_pair_contrastive_eval.py	more arbitrary fixes	2022-03-17 17:45:44 -06:00
sr_diffusion_fid.py	Fix a bug where non-rank-0 is computing FID before all images are saved.	2021-06-16 16:27:09 -06:00
sr_fid.py	Another fix	2021-06-14 09:51:44 -06:00
sr_style.py	More cleaning	2022-03-16 12:05:56 -06:00