tsukumi
eede796c4e
Add: Preparation for ONNX inference support ①
2024-09-17 06:53:11 +09:00
tsukumi
80dd6dbc22
Improve: Use the device_map option in transformers to load BERT models directly to the GPU
2024-09-17 05:22:06 +09:00
tsukumi
bdf20e8911
Refactor: Use bert_models.transfer_model()
2024-09-17 05:21:03 +09:00
tsukumi
40d7ba9583
Fix: tests fail because scipy is not installed in the test environment
2024-09-17 05:19:21 +09:00
litagin02
7880659d4a
Docs
2024-05-26 08:00:32 +09:00
litagin02
2274087da4
Fmt only (maybe)
2024-05-25 18:15:36 +09:00
tsukumi
aa0f9308b1
Refactor: remove dependencies on libraries not required for style_bert_vits2 as a library
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librosa: Originally not used under style_bert_vits2/.
pyannote.audio: Required only when using the "infer style vector from audio" function during inference, but it is currently almost unused.
scipy: Because it was used in only one utility function that was not needed outside of training.
2024-04-25 00:31:14 +00:00
tsukumi
28f254f449
Improve: remove Gradio dependency from style_bert_vits2 as a library
2024-04-23 05:45:11 +00:00
litagin02
14c6805337
Update hatch setting and fmt
2024-03-15 21:36:53 +09:00
tsukumi
c4d6a8cdb7
Fix: large number of unnecessary files in built sdist
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Include in sdist only the minimum required files for style-bert-vits2 as a library.
2024-03-12 18:45:54 +00:00
tsukumi
07d246b98b
Refactor: run "hatch run style:fmt"
2024-03-12 18:27:08 +00:00
litagin02
69225a3e13
Style
2024-03-12 21:47:59 +09:00
tsukumi
be265d42ed
Improve: switch pyworld to pyworld-prebuilt and enable it by default
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Prebuilt wheels for almost every OS/architecture (except musl) are now available on PyPI, eliminating the need for a build environment.
ref: https://pypi.org/project/pyworld-prebuilt/
2024-03-10 18:11:15 +00:00
tsukumi
733a9d838d
Fix: clearly include Pydantic v2 in the dependencies
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The Pydantic models in the library are written for Pydantic v2 and will not work with Pydantic v1.
2024-03-10 15:38:08 +00:00
tsukumi
84b1dbe1b5
Fix: problem with test failures
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Style-Bert-VITS2 has been reported to not work with some PyTorch 2.2 series, but Python 3.12 is only supported in Torch >= 2.2, so Python 3.12 support is not provided for the time being
2024-03-10 10:48:21 +00:00
tsukumi
afff154da4
Add: test code for style-bert-vits2 as a library
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By executing "hatch run test:test", you can check whether the test passes in all Python 3.9 to 3.12 environments.
2024-03-10 04:18:39 +00:00
tsukumi
a79b1910fb
Add: use hatch to build style-bert-vits2 as a library
2024-03-09 18:38:16 +00:00
tsukumi
4a3519c4b9
Remove: Ruff
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I have determined that this is excessive for this project at this time.
2024-03-08 05:51:54 +00:00
tsukumi
4d5c537f95
Refactor: introducing Ruff
2024-03-08 05:02:02 +00:00
