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40b089daf3
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lol
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2024-10-12 09:57:34 -05:00 |
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d6f7c86a5c
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entropix tweaks (it doesn't output garbage but it loves to go for silence)
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2024-10-12 09:46:18 -05:00 |
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d0ab7d755a
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added min-p (really does not seem useful since it's very sensitive), more tweaks to entropix
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2024-10-11 22:36:06 -05:00 |
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bef43a0c18
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added experimental entropix sampling support
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2024-10-11 21:18:26 -05:00 |
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85d85c1351
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more arg creep for demo page
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2024-10-10 19:40:01 -05:00 |
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301468f519
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<<
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2024-10-10 19:13:52 -05:00 |
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75a4c866d6
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more demo page tweaks, added arg to force enable/disable LoRAs for inferencing (to-do: setup arg flags to handle this, and checkbox in web UI)
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2024-10-10 19:04:12 -05:00 |
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96d05be73c
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demo page tweaks
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2024-10-10 13:52:37 -05:00 |
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2ea978f318
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added --eval-random-text-prompts to use random text prompts for eval pass, added --random-prompts for demo page and --lora to use a sample with the lora disabled, probably finally fixed validation dataloader breaking on eval
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2024-10-10 13:40:25 -05:00 |
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52299127ab
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fix vall_e.emb.process
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2024-10-08 20:00:34 -05:00 |
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0656a762af
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fix vall_e.emb.transcriber
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2024-10-08 19:24:43 -05:00 |
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acdce66d4e
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readme tweaks, set the (unused) default model download URL back to the base ar+nar-llama-8 model, as ar+nar-tts+stt-llama-8 was renamed back to it since it performs well
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2024-10-05 22:53:53 -05:00 |
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84c7419001
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faster
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2024-10-04 22:30:47 -05:00 |
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a507b769a1
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sped up inferencing by not doing .tolist() for rep pen / length pen (and a bug fix in the web UI from prev commit)
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2024-10-04 22:18:20 -05:00 |
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4a8e3ccf06
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README tweaks, added --input-prompt-prefix as an experiment (its literally better to just not do this, but i'll retain it in case i have a revelation on how to improve it)
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2024-10-04 18:57:19 -05:00 |
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a9fa0898a9
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tweaked demo page script to sample speakers instead
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2024-09-28 10:50:26 -05:00 |
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2f1dca3089
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added language selection in web UI, tweaked demo script
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2024-09-28 09:49:45 -05:00 |
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10df2ef5f3
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fixed oversight where input audio does not resample (lol...)
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2024-09-27 20:27:53 -05:00 |
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039482a48e
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don't do eval on stt because it's so slow and I don't even bother doing any metrics against it anyways (to-do: make this a flag)
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2024-09-26 18:56:57 -05:00 |
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ff7a1b4163
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coerce into path for other sampler_types (it's required for sampling for similar utterances)
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2024-09-26 18:37:56 -05:00 |
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f24547ad4e
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add top_k sampling / offset for prompt similar utterance sampling
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2024-09-26 16:26:40 -05:00 |
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9da630f73a
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swap order of demo entries, as the model prioritizes adhering to the speaker prompt more (instead of trying to match the ground truth magically)
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2024-09-25 23:31:24 -05:00 |
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e84d466261
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vall_e.plot tweaks
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2024-09-24 20:05:10 -05:00 |
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c5e9142863
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added option to retokenize phonemes for hdf5 (to save having to remake my hdf5 file)
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2024-09-21 13:08:01 -05:00 |
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536c11c4ac
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actually validated and fixed sampling similar utterances for the prompt (hopefully nothing else is needed)
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2024-09-21 12:59:51 -05:00 |
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d31f27119a
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regex replace out the (lang) markers in espeak, updated tokenizer vocab as lazily as possible to not have unk tokens
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2024-09-21 12:29:28 -05:00 |
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769f67dcfe
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actually fix validation of phonemes in the symmap
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2024-09-21 12:19:34 -05:00 |
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c8d4716a9f
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ugh
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2024-09-18 21:40:57 -05:00 |
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fe241f6a99
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support for wildcard in training/validation/noise dataset array (to-do: a better way to query between metadata folder and data folder)
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2024-09-18 21:34:43 -05:00 |
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b5bec0c9ce
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oops, turns out these are not split by speaker names already........ (also added sampling the dataset in the webui for easy viewing)
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2024-09-18 20:19:46 -05:00 |
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fa9d3f6c06
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lang fixes / reworked phoneme symmap validation
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2024-09-18 19:36:03 -05:00 |
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84647f588a
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more tweaks
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2024-09-18 16:43:57 -05:00 |
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ebac1db16c
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maybe final tweaks, I really needed to unify my json read/write and orjson is proven to be fast enough for me to try and rely on it more
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2024-09-17 22:57:04 -05:00 |
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6ceed866b5
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*faster*
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2024-09-17 22:44:36 -05:00 |
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f00283440c
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faster
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2024-09-17 22:26:31 -05:00 |
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be22b65300
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solved my problem
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2024-09-17 21:58:44 -05:00 |
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8f41d1b324
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more tweaks
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2024-09-17 16:26:30 -05:00 |
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804ddb5182
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optimizations (6 hours to do cosine similarities on a speaker set of just 17k utterances................)
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2024-09-17 15:51:45 -05:00 |
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a9fbe81f98
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oops
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2024-09-17 15:25:12 -05:00 |
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c440c4fe7e
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relegated processing similarity data into vall_e.emb.similarity since it's easier, seems to work?
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2024-09-17 14:37:21 -05:00 |
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56f25f7a9b
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more stuff for similar-speaker prompt sampling (to-do: actually test if this works...)
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2024-09-16 23:10:29 -05:00 |
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69f140ba45
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fix oversight with phonemizing french because espeak defines french as fr-fr instead of fr (even though spain spanish is es and not es-sp or some shit, but portugal portuguese is pt-pt)
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2024-09-13 12:53:36 -05:00 |
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4f3c7a37c8
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also do text similarities (dont know what use I'll have for this)
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2024-09-10 16:45:59 -05:00 |
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1c615a0f52
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helper script (vall_e.emb.similar) to figure out the best way to compute similarity scores for audio (iunno how to go about it desu)
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2024-09-10 16:34:23 -05:00 |
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d059f6f56d
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added helper script to process Emilia (amphion/Emilia-Dataset), clean up espeak phonemes for non-English transcriptions with English words (because for some reason espeak injects (en){word}(lang) markers and it's annoying)
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2024-09-09 09:57:32 -05:00 |
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31e8b7edb8
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tweaks and fixes for lora stuffs
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2024-09-08 18:05:21 -05:00 |
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54203c059d
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validated rep pen for STT (sometimes needed to wrangle the model)
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2024-09-08 08:30:30 -05:00 |
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6a967f91b9
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oops
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2024-09-07 22:13:49 -05:00 |
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5d66a7db52
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webui cleanup, more tweaks, default to safetensors in config
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2024-09-07 21:45:05 -05:00 |
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a6ad0577b8
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cleanup the resultant text from STT
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2024-09-06 18:44:25 -05:00 |
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fa93061b3e
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more fixes, moved sampler state dict to a better place, eval works again
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2024-09-06 16:59:56 -05:00 |
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4bd9bb39c8
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webui for STT (still need to bake the model to handle it better, a few hours so far has it generate what looks like a normal transcription but does not correlate to the audio right now)
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2024-09-06 15:13:04 -05:00 |
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d33a906119
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cleanup for AR_NAR inferencing to allow both TTS and STT tasks simultaneously (need to have training eval do this to though)
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2024-09-06 14:30:12 -05:00 |
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341e19162b
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fixes, again
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2024-09-06 11:41:41 -05:00 |
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94cf81d38c
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tweak
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2024-09-05 23:21:18 -05:00 |
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413097f5f7
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fixes
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2024-09-05 21:42:59 -05:00 |
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54547b74d8
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experimental implementation of STT (need to actually test on a model, test trainer seems to work)
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2024-09-05 20:43:20 -05:00 |
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d319d33368
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haha
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2024-09-04 14:52:26 -05:00 |
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619369236b
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ugh
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2024-08-30 21:10:57 -05:00 |
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168e203942
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ugh
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2024-08-30 14:39:07 -05:00 |
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685f4faec0
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ugh
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2024-08-30 10:46:26 -05:00 |
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32287710a2
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moved prints to use logger, edited readme (fused_attn doesnt seem stable for training)
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2024-08-29 13:27:16 -05:00 |
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d423bc03c2
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fixed attentions for MoE
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2024-08-27 17:02:42 -05:00 |
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b7b99a25f1
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added ability to specify attention backend for CLI and webui (because im tired of editing the yaml)
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2024-08-26 19:33:51 -05:00 |
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0d706ec6a1
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added fused_attn (triton-based fused attention) and simply just query for flash_attn under rocm
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2024-08-26 19:13:34 -05:00 |
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6b0891448c
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pain (some shit to try and get some flash attention for ROCm (gfx1100) through triton fused attention but no good)
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2024-08-25 20:07:27 -05:00 |
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40e1799adc
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fixed xformers and flash_attn to actually work now
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2024-08-19 01:03:35 -05:00 |
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29c35528e5
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the sooner I accept there's no FA for V100s the sooner I'll go to bed
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2024-08-18 23:54:33 -05:00 |
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d636edd3a2
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added flash_attn LlamaAttention (including flash_attn==1.0.9)
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2024-08-18 20:51:14 -05:00 |
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054d28573a
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my DAC dataset again managed to only have some utterances with only 8 of 9 RVQ levels, this fixes an oversight from it
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2024-08-09 21:18:01 -05:00 |
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2a1794c084
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ughghghhhh
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2024-08-09 21:15:01 -05:00 |
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ed373957e2
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maybe not
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2024-08-09 11:38:08 -05:00 |
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c658a7b440
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make loss scaling opt-in rather than automatically determined (because it seems a DAC-based model really doesnt like loss scaling)
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2024-08-09 10:51:36 -05:00 |
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d04f6911b4
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oops
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2024-08-08 19:38:55 -05:00 |
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0aa59e6f3f
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uncommented block that writes the metadata on HDF5 creation
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2024-08-08 19:21:29 -05:00 |
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79a6781c9e
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fix vall_e.data --action=hdf5 actually transcribing because past me completely forgot it tried to already put the transcribe/process dataset scripts inside the module before
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2024-08-08 07:51:42 -05:00 |
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949339a3fa
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do not include SDPA attention if there's no available SDPA backends
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2024-08-06 20:42:39 -05:00 |
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613024ec0d
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ugh
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2024-08-06 20:35:15 -05:00 |
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eac353cd0b
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busy work and cleanup while I wait for 1TB of audio to quantize... again.
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2024-08-06 20:23:33 -05:00 |
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f284c7ea9c
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do mixed-precision for AMP inside the compress function itself, because the loudness function gripes when using a float16 (non-power of 2 lengths) or bfloat16 (something about views for bfloat16)
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2024-08-06 15:08:37 -05:00 |
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b6ba2cc8e7
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tweaked vall_e.emb.process to instead process audio one file at a time instead of all the files for a given speaker to avoid OOMing on less-memory-filled systems with --low-memory
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2024-08-06 14:24:40 -05:00 |
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9710b06b74
|
tweaks and things
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2024-08-06 08:17:25 -05:00 |
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134dac8c2b
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re-adapted process_libritts.py to a 'better' way (better because it processed without needing to shuffle a bunch of things and adapt to cope or something)
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2024-08-05 20:34:58 -05:00 |
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3f73fcca29
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oops
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2024-08-05 20:12:13 -05:00 |
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597441e48b
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moved transcribe and process dataset scripts to vall_e/emb within the module itself, argparse-ified transcription script
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2024-08-05 19:40:50 -05:00 |
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7cdfa3dc0c
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updated process_datasets.py, added argparsing so I can mostly stop manually editing things, and some other cleanup
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2024-08-05 15:59:25 -05:00 |
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debcc93e7e
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add adapted MixtralAttention for when I make a bad decision to actually train a MoE
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2024-08-04 22:03:22 -05:00 |
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10aaf840e7
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added export option to convert Llama to MixtralMoE for another dumb experiment
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2024-08-04 20:25:06 -05:00 |
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3a65cc4b22
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fix issue with sft and shared tensors...
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2024-08-04 19:56:21 -05:00 |
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23f3b56fda
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oops
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2024-08-04 08:18:57 -05:00 |
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d19f93a2c0
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documentation update
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2024-08-04 00:14:49 -05:00 |
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2cb465018b
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implicitly load either normal pickled weights or safetensors on loading the model
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2024-08-03 23:34:18 -05:00 |
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c09133d00f
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added safetensors support (with metadata) and feed whatever torch.load/torch.save into it
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2024-08-03 23:15:20 -05:00 |
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6a733eb2ed
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changed torch.Tensor().to(device, dtype) to just torch.tensor(..., device, dtype) because it's been bothering my autism that I'm creating tensors then converting rather than creating with the right device/dtype, some 'optimization' to compile the model but it doesnt seem to do anything useful
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2024-08-03 22:10:21 -05:00 |
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ab673e0426
|
add cap for NAR-len training, to avoid any weird cases in early training where it'll just mess up and generate long lengths
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2024-08-03 21:00:32 -05:00 |
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4d2b88b164
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throw exception if training, but no model is set to train (because i ran into this wondering what the hell was happening)
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2024-08-03 20:51:23 -05:00 |
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d0a5c7eca2
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more coping with the NAR len
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2024-08-03 20:23:36 -05:00 |
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11fa3da665
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some cleanup, fixed the wrapper attention to explicitly use other sdpa backends
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2024-08-03 19:51:00 -05:00 |
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9564ecda43
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wrapper attention class for other sdpa backends + xformers seems to have broke...
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2024-08-03 15:12:11 -05:00 |
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9e1989be1b
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tweaked initial NAR pass's initial token embeddings to use a different value, or osmething
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2024-08-03 09:01:37 -05:00 |
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