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pyproject.toml
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93 lines (89 loc) · 1.87 KB
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[build-system]
requires = [
"setuptools",
"wheel",
"scikit-build >= 0.18.1",
"pybind11 >= 3.0.1",
"ninja",
"cmake >= 4.2.1",
"mypy"
]
build-backend = "setuptools.build_meta"
[project]
name = "aihwkit"
version = "1.1.0"
dependencies = [
"cmake >= 4.2.1",
"scikit-build >= 0.18.1",
"scikit-learn",
"pybind11 >= 3.0.1",
"torch >= 2.9.1",
"torchvision",
"scipy",
"requests >= 2.32, <3",
"numpy",
"protobuf",
"tqdm",
"mypy",
]
requires-python = ">=3.10"
authors = [
{ name = "IBM Research", email = "aihwkit@us.ibm.com" },
]
description = "IBM Analog Hardware Acceleration Kit"
readme = "README.md"
license = {file = "LICENSE.txt"}
keywords = [
"ai",
"analog",
"rpu",
"torch",
"memristor",
"pcm",
"reram",
"crossbar",
"in-memory",
"nvm",
"non-von-neumann",
"non-volatile memory",
"phase-change material",
]
classifiers=[
"Development Status :: 5 - Production/Stable",
"Environment :: Console",
"Environment :: GPU :: NVIDIA CUDA",
"Intended Audience :: Science/Research",
"Operating System :: MacOS",
"Operating System :: Microsoft :: Windows",
"Operating System :: POSIX :: Linux",
"Programming Language :: Python :: 3 :: Only",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Typing :: Typed",
]
[project.optional-dependencies]
dev = [
"types-dataclasses",
"types-requests",
"pycodestyle",
"pylint",
"pytest",
"parameterized",
"black",
]
examples = [
"matplotlib >= 3.10",
"pyamg",
"jupyter",
"transformers",
"evaluate",
"accelerate",
"lmfit",
"tensorboard",
]
[project.urls]
Homepage = "https://github.com/IBM/aihwkit"
Documentation = "https://aihwkit.readthedocs.io/en/latest/"
Repository = "https://github.com/IBM/aihwkit.git"
Issues = "https://github.com/IBM/aihwkit/issues"
Changelog = "https://github.com/IBM/aihwkit/blob/master/CHANGELOG.md"