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waveglow

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22.12.28 waveglow-22.12.28-py3-none-any.whl

Wheel Details

Project: waveglow
Version: 22.12.28
Filename: waveglow-22.12.28-py3-none-any.whl
Download: [link]
Size: 412509
MD5: 9e11b53a2f0621f3cb1cf1bef97f1230
SHA256: 1c9cbd7ac36c88c7a7770130e14876a781f7570358a8ca9aa771c4dd0bf5293c
Uploaded: 2022-12-28 23:30:50 +0000

dist-info

METADATA · WHEEL · RECORD · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: waveglow
Version: 22.12.28
Summary: Waveglow library
Author: Tadeusz Miszczyk
Author-Email: 42252259+8tm[at]users.noreply.github.com
Home-Page: http://github.com/8tm/waveglow
Project-Url: Documentation, https://test.pypi.org/project/waveglow
Project-Url: Repository, http://github.com/8tm/waveglow
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=3.8,<4.0
Requires-Dist: Pillow (<10.0.0,>=9.3.0)
Requires-Dist: Unidecode (<2.0.0,>=1.3.6)
Requires-Dist: inflect (<7.0.0,>=6.0.2)
Requires-Dist: librosa (<0.10.0,>=0.9.2)
Requires-Dist: matplotlib (<4.0.0,>=3.6.2)
Requires-Dist: numpy (<2.0.0,>=1.23.5)
Requires-Dist: scipy (<2.0.0,>=1.9.3)
Requires-Dist: tacotron2 (<23.0.0,>=22.12.28)
Requires-Dist: tensorboardX (<3.0.0,>=2.5.1)
Requires-Dist: tensorflow (<3.0.0,>=2.11.0)
Description-Content-Type: text/markdown
[Description omitted; length: 1044 characters]

WHEEL

Wheel-Version: 1.0
Generator: poetry-core 1.4.0
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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waveglow/README.md sha256=IxQ8kBIljFPIpND38SUxo3Xvot8uepPwM6B8UXo1PHk 3080
waveglow/convert_model.py sha256=_6mMqhp2cC34vsSo9B0b9xfcX1mJqYCrIejxkY7dzRI 3215
waveglow/denoiser.py sha256=8QRjDgnTk9uUYJomTxtmJFci3OmD1LxaCWnCE079n3o 1617
waveglow/distributed.py sha256=fo5VnedgCboX6C4TEYgK6aHKGtMYlgOOm4cn2Sxrj_U 7429
waveglow/glow.py sha256=JXZfaxvVDvWizXBcWs5LHKcHE6TjgsJI3no09EN-JVo 12653
waveglow/glow_old.py sha256=g-XOYWn1xijsvGOvvltucLPSsjYZGNtw-kobnhYxYH0 9153
waveglow/inference.py sha256=D2gEGMYXV1pV_Wn5TJBg58luVUcvsxC16zVRFx6iZUk 4056
waveglow/mel2samp.py sha256=1gnuvJfrFohelFDE0eqQ1Z_59_K7qojZSz1XgoAS15g 5863
waveglow/train.py sha256=BGOQEjkWgLBc7HQ5UUDJeLIj-sI6DPCvIIjArYiZBk8 8103
waveglow/waveglow_logo.png sha256=PDg86sk0iwdQP9voSL_isHnn1ForMrK2AMLBtidO0io 391167
waveglow-22.12.28.dist-info/entry_points.txt sha256=qZ_oaoKE_5f0q_naTEU6GxM3VXlAKSUFpoVSa8TMTxw 97
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waveglow-22.12.28.dist-info/RECORD — —

entry_points.txt

[console_scripts]
waveglow-inference = waveglow.inference:main
waveglow-train = waveglow.train:main