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pyproject.toml
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pyproject.toml
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[project]
name = 'dasheng'
version = '0.0.4'
dependencies = [
"einops",
"numpy",
"pytorch_ignite",
"torch",
"torchaudio",
]
authors = [
{name = "Heinrich Dinkel", email = "[email protected]"},
{name = "Junbo Zhang", email = "[email protected]"},
]
maintainers = [
{name = "Heinrich Dinkel", email = "[email protected]"},
{name = "Junbo Zhang", email = "[email protected]"},
]
readme = "README.md"
license = {file = "LICENSE"}
classifiers = [
"Development Status :: 3 - Alpha",
# Indicate who your project is intended for
"Intended Audience :: Developers",
"Topic :: Software Development :: Build Tools",
# Pick your license as you wish (see also "license" above)
"License :: OSI Approved :: MIT License",
# Specify the Python versions you support here.
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Environment :: GPU :: NVIDIA CUDA :: 11.4",
"Environment :: GPU :: NVIDIA CUDA :: 12",
"Topic :: Multimedia :: Sound/Audio :: Speech",
]
[project.urls]
Homepage = "https://github.com/Richermans/dasheng"
Documentation = "https://github.com/Richermans/dasheng"
Repository = "https://github.com/Richermans/dasheng"
Issues = "https://github.com/Richermans/dasheng/issues"
[tool.poetry]
description = {file = 'README.md', format = 'markdown'}
authors = ['Heinrich Dinkel [email protected]']
readme = 'README.md'
requires-python = '>=3.9'
[tool.setuptools.packages.find]
where = ['.']
[project.scripts]
wavlist_to_tar = "dasheng.prepare.wavlist_to_tar:main"
[project.optional-dependencies]
train = [
'accelerate>=0.28.0',
'bitsandbytes>=0.35.4',
'webdataset>=0.2.86',
'braceexpand>=0.1.7',
'fire>=0.5.0',
'loguru>=0.7.2',
'numpy>=1.24.1',
'pytorch_ignite>=0.4.13',
'PyYAML>=6.0.1',
'torch>=2.1.1',
'torchaudio>=2.1.1',
'tqdm>=4.66.1',
'pandas>=2.0',
]
all = [
"dasheng[train]"
]