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  • a4afad8837 PIP-ified (credit to https://git.ecker.tech/eschmidbauer) 1719707909108632923/tmp_refs/heads/master 1719707909108632923/master 1711701244150740981/tmp_refs/heads/master 1711701244150740981/master 1710054858215473672/tmp_refs/heads/master 1710054858215473672/master 1708804387179116856/tmp_refs/heads/master 1708804387179116856/master 1707459348069819179/tmp_refs/heads/master 1707459348069819179/master mrq 2023-03-21 15:39:28 +0000
  • fe24641763 PIP-ified part 1 mrq 2023-03-21 15:38:42 +0000
  • efd038c076 forgot the other things that were in tortoise implementation but not here mrq 2023-03-17 20:24:17 +0000
  • 64a41fde24 added japanese preprocessor for tokenizer mrq 2023-03-17 20:03:57 +0000
  • 7b5e0592f8 migrated bitsandbytes out, since AIVC technically uses this more mrq 2023-03-16 20:42:32 +0000
  • 0db8ebc543 deduce if preprocessing text by checking the JSON itself instead mrq 2023-03-16 14:41:21 +0000
  • 730f56aa87 some day I'll get a commit right on the first try mrq 2023-03-16 04:37:49 +0000
  • 730a04708d added flag to disable preprocessing (because some IPAs will turn into ASCII, implicitly enable for using the specific ipa.json tokenizer vocab) mrq 2023-03-16 04:24:32 +0000
  • bea6174a19 fix for torch2.0.0 suddenly being imposed on us mrq 2023-03-15 19:24:35 +0000
  • b253da6e35 save when training completes mrq 2023-03-15 02:47:12 +0000
  • 3fdf2a63aa fixes mrq 2023-03-11 01:18:25 +0000
  • b5c6acec9e gutted bloat loggers, now all my useful metrics update per step mrq 2023-03-10 22:34:37 +0000
  • bf94744514 I am going to scream mrq 2023-03-09 22:47:46 +0000
  • 84c8196da5 Shamelessly nabbed from ae80992817 (if this is makes a big enough difference in training i'm going to cum) mrq 2023-03-09 03:39:23 +0000
  • 0ee0f46596 . mrq 2023-03-09 00:29:25 +0000
  • 6eb7ebf847 silence printing the model because it's just useless noise master mrq 2023-03-04 16:38:24 +0000
  • 71cc43e65c added a flag (thanks gannybal) mrq 2023-02-26 14:56:26 +0000
  • 0f04206aa2 added ability to toggle some settings with envvars for later testing without needing to manually edit this file (and some other things like disabling it when a user requests it in the future) mrq 2023-02-24 23:08:56 +0000
  • 1433b7c0ea working Embedding override mrq 2023-02-23 07:28:27 +0000
  • 94aefa3e4c silence mrq 2023-02-23 07:25:09 +0000
  • fd66c4104b ugh mrq 2023-02-23 07:18:07 +0000
  • 7bcedca771 I guess I can't easily toggle it outside of here, but it works mrq 2023-02-23 07:02:06 +0000
  • 0ef8ab6872 shut up mrq 2023-02-23 06:12:27 +0000
  • 58600274ac Disabling bitsandbytes optimization as default for now, in the off chance that it actually produces garbage (which shouldn't happen, there's no chance, if training at float16 from a model at float16 works fine, then this has to work) mrq 2023-02-23 03:22:59 +0000
  • 918473807f Merge pull request 'bitsandbytes' (#2) from bitsandbytes into master mrq 2023-02-23 03:16:25 +0000
  • 6676c89c0e I sucked off the hyptothetical wizard again, just using BNB's ADAM optimizer nets HUGE savings, but I don't know the output costs, will need to test mrq 2023-02-23 02:42:17 +0000
  • 01c0941a40 binaries mrq 2023-02-22 23:09:27 +0000
  • 4427d7fb84 initial conversion (errors out) mrq 2023-02-22 23:07:05 +0000
  • 6c284ef8ec oops mrq 2023-02-18 03:27:04 +0000
  • 8db762fa17 thought I copied this over mrq 2023-02-18 03:15:44 +0000
  • 73d9c3bd46 set output folder to be sane with the cwd as a reference point mrq 2023-02-18 02:01:09 +0000
  • 5ecf7da881 Fix later mrq 2023-02-17 20:49:29 +0000
  • e3e8801e5f Fix I thought wasn't needed since it literally worked without it earlier mrq 2023-02-17 20:41:20 +0000
  • 535549c3f3 add some snark about the kludge I had to fix, and the kludge I used to fix it mrq 2023-02-17 19:20:19 +0000
  • a09cf98c7f more cleanup, pip-ifying won't work, got an alternative mrq 2023-02-17 15:47:55 +0000
  • 6afa2c299e break if your dataset size is smaller than your batch size mrq 2023-02-17 04:08:27 +0000
  • 94d0f16608 Necessary fixes to get it to work mrq 2023-02-17 02:03:00 +0000
  • 49e23b226b pip-ify mrq 2023-02-17 00:33:50 +0000
  • f31a333c4f more sampling fixes James Betker 2022-10-10 20:11:28 -0600
  • 5d172fbf7e Fix eval James Betker 2022-10-10 14:22:36 -0600
  • 9502e0755e ugh James Betker 2022-10-10 12:15:51 -0600
  • fce2c8f5db and listify them James Betker 2022-10-10 12:13:49 -0600
  • 3cf78e3c44 train mel head even when not James Betker 2022-10-10 12:10:56 -0600
  • cc74a43675 Checkin James Betker 2022-10-10 11:30:20 -0600
  • 3cb14123bc glc fix James Betker 2022-07-29 11:24:36 -0600
  • 4ddd01a7fb support generating cheaters from the new cheater network James Betker 2022-07-29 09:19:20 -0600
  • 27a9b1b750 rename perplexity->log perplexity James Betker 2022-07-28 09:48:40 -0600
  • 1d68624828 fix some imports.. James Betker 2022-07-28 02:35:32 -0600
  • cfe907f13f i like this better James Betker 2022-07-28 02:33:23 -0600
  • d44ed5d12d probably too harsh on ninfs James Betker 2022-07-28 01:33:20 -0600
  • 4509cfc705 track logperp for diffusion evals James Betker 2022-07-28 01:30:44 -0600
  • 19eb939ccf gd perplexity James Betker 2022-07-28 00:23:35 -0600
  • a1bbde8a43 few things James Betker 2022-07-26 11:52:03 -0600
  • f8108cfdb2 update environment and fix a bunch of deps James Betker 2022-07-24 23:43:25 -0600
  • 45afefabed fix booboo James Betker 2022-07-24 18:00:14 -0600
  • cc62ba9cba few more tfd13 things James Betker 2022-07-24 17:39:33 -0600
  • f3d967dbf5 remove eta from mdf James Betker 2022-07-24 17:21:20 -0600
  • 76464ca063 some fixes to mdf to support new archs James Betker 2022-07-21 10:55:50 -0600
  • 13c263e9fb go all in on m2wv3 James Betker 2022-07-21 00:51:27 -0600
  • 24a78bd7d1 update tfd14 too James Betker 2022-07-21 00:45:33 -0600
  • 02ebda42f2 #yolo James Betker 2022-07-21 00:43:03 -0600
  • b92ff8de78 misc James Betker 2022-07-20 23:59:32 -0600
  • a1743d26aa Revert "Try to squeeze a bit more performance out of this arch" James Betker 2022-07-20 23:57:56 -0600
  • 767f963392 Try to squeeze a bit more performance out of this arch James Betker 2022-07-20 23:51:11 -0600
  • b9d0f7e6de simplify parameterization a bit James Betker 2022-07-20 23:41:54 -0600
  • ee8ceed6da rework tfd13 further James Betker 2022-07-20 23:28:29 -0600
  • 40427de8e3 update tfd13 for inference James Betker 2022-07-20 21:51:25 -0600
  • dbebe18602 Fix ts=0 with new formulation James Betker 2022-07-20 12:12:33 -0600
  • 82bd62019f diffuse the cascaded prior for continuous sr model James Betker 2022-07-20 11:54:09 -0600
  • b0e3be0a17 transition to nearest interpolation mode for downsampling James Betker 2022-07-20 10:56:17 -0600
  • 7b3fc79737 iq checkin James Betker 2022-07-20 10:19:32 -0600
  • 9a37f3ba42 reminder to future self James Betker 2022-07-20 10:19:15 -0600
  • 15decfdb98 misc James Betker 2022-07-20 10:19:02 -0600
  • 2997a640b0 fix mdf James Betker 2022-07-19 19:39:29 -0600
  • c14bf6dfb2 fix conditioning free James Betker 2022-07-19 18:04:49 -0600
  • fc0b291b21 do masking up proper James Betker 2022-07-19 16:32:17 -0600
  • b203a7dc97 And remove unused parameters James Betker 2022-07-19 15:05:12 -0600
  • 17a07b2e33 readd one mdf function James Betker 2022-07-19 15:04:36 -0600
  • c00398e955 scope attention in tfd13 as well James Betker 2022-07-19 14:59:43 -0600
  • b157b28c7b tfd14 James Betker 2022-07-19 13:30:05 -0600
  • 4597447178 add assertions to mel generator script James Betker 2022-07-19 11:23:54 -0600
  • 1b6fe88bcb spit out overages in GDI James Betker 2022-07-19 11:19:59 -0600
  • 73d7211a4c fix script James Betker 2022-07-19 11:17:43 -0600
  • 6b1cfe8e66 ugh James Betker 2022-07-19 11:14:20 -0600
  • da9e47ca0e new bounds for MEL normalization and multi-resolution SR in MDF James Betker 2022-07-19 11:11:46 -0600
  • eecb534e66 a few fixes to multiresolution sr James Betker 2022-07-19 11:11:15 -0600
  • 2fb85526bc mdf cleanup James Betker 2022-07-19 09:57:05 -0600
  • 4aa840a494 be more stringent on min and max ranges in GDI.. this is gonna break somethings probably James Betker 2022-07-19 09:14:08 -0600
  • eab7dc339d iq checkin James Betker 2022-07-19 09:13:27 -0600
  • 625d7b6f38 music joiner checkin James Betker 2022-07-18 18:40:25 -0600
  • 0824708dc7 iq checkin James Betker 2022-07-18 18:40:14 -0600
  • df27b98730 ddp doesnt like dropout on checkpointed values James Betker 2022-07-18 17:17:04 -0600
  • 8d7692c1e0 uh James Betker 2022-07-18 17:15:27 -0600
  • c959e530cb good ole ddp.. James Betker 2022-07-18 17:13:45 -0600
  • cf57c352c8 Another fix James Betker 2022-07-18 17:09:13 -0600
  • 83a4ef4149 default to use input for conditioning & add preprocessed input to GDI James Betker 2022-07-18 17:01:19 -0600
  • 1b4d9567f3 tfd13 for multi-resolution superscaling James Betker 2022-07-18 16:36:22 -0600
  • 1b648abd7c iq2 James Betker 2022-07-18 10:12:23 -0600
  • 7a10c3fed8 commit my own version of vq, with a fix for cosine similarity and support for masking James Betker 2022-07-18 10:12:17 -0600
  • 4ce5c31705 music_joiner update for new big cosine model James Betker 2022-07-17 18:24:56 -0600