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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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17487ad70a
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weird quirk in process_emilia.py where language gets mutated, somehow (I hate python)
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2024-09-10 14:00:27 -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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