細かな修正 (#92 を参照) #95
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細かな修正 (#92 を参照) #95
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…consumption during training in the Web UI Since the BERT features of the dataset are pre-extracted by bert_gen.py, there is no need to load the BERT model at training time.
Include in sdist only the minimum required files for style-bert-vits2 as a library.
…PU VRAM consumption during training in the Web UI" This reverts commit e8a76e5.
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ありがとうございます！ |
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Revertされていた |
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前回のプルリク (#92) で漏れてしまった、下記の細かな修正を行いました。
hatch buildでビルドした sdist に余計なファイルが大量に入るのを修正Tip
Revert されてるコミットがありますが、これは Web UI で学習を開始する際「app.py 起動時に BERT モデルが事前ロードされると VRAM が圧迫されるし明示的に音声合成された時にのみ事前ロードするようにしないといけないのでは…？」と思っていたものの、実際にはロードだけでは通常のメモリしか消費せず VRAM の節約にならない事が分かったためです…。