sparsekit/pyproject.toml at main · ayghri/sparsekit · GitHub

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[tool.poetry]
name = "sparsekit"
version = "0.1.4"
description = "Sparsity Kit for Structured Sparsity Specification"
authors = ["Ayoub Ghriss <research@ayghri.me>"]
readme = "README.md"
packages = [{ include = "sparsekit" }]
license = "CC-BY-NC-4.0"
keywords = ["sparsity", "pruning", "neural networks", "structured sparsity", "triton", "pytorch"]
classifiers = [
    "Development Status :: 4 - Beta",
    "Intended Audience :: Science/Research",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Programming Language :: Python :: 3.13",
    "Operating System :: OS Independent",
]

[tool.poetry.urls]
"Homepage" = "https://github.com/ayghri/sparsekit"
"Repository" = "https://github.com/ayghri/sparsekit"


[tool.poetry.dependencies]
python = ">=3.11,<3.14"
torch = ">=2.8.0"
triton = ">=3.4.0"
numpy = ">=2.4.0"
matplotlib = { version = "*", optional = true }
transformers = {version = "^5.5.3", optional = true}
lm-eval = {version = "^0.4.11", optional = true}
datasets = {version = "^4.8.4", optional = true}
pandas = {version = "^3.0.2", optional = true}
tqdm = {version = "^4.67.3", optional = true}
accelerate = {version = "^1.13.0", optional = true}

[tool.poetry.extras]
viz = ["matplotlib"]
scripts =["transformers", "lm-eval", "datasets", "pandas", "tqdm", "accelerate"]

[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"

[tool.pytest.ini_options]
testpaths = ["tests"]