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pyproject.toml
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56 lines (48 loc) · 1.39 KB
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#
# onnx2mlx
# Copyright © 2026 NatML Inc. All Rights Reserved.
#
[project]
name = "onnx2mlx"
dynamic = ["version"]
description = "Convert ONNX models into MLX callables for inference on Apple Silicon."
readme = "README.md"
license = "MIT"
requires-python = ">=3.12"
authors = [
{ name = "NatML Inc.", email = "hi@muna.ai" },
]
keywords = ["onnx", "mlx", "apple-silicon", "inference", "machine-learning"]
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Operating System :: MacOS",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = ["mlx", "numpy", "onnx"]
[project.urls]
Homepage = "https://muna.ai"
Documentation = "https://docs.muna.ai/onnx2mlx"
Repository = "https://github.com/muna-ai/onnx2mlx"
Issues = "https://github.com/muna-ai/onnx2mlx/issues"
[project.optional-dependencies]
dev = [
"pytest",
"onnxruntime",
"torch",
"torchvision",
"transformers",
]
[build-system]
requires = ["setuptools>=68.0"]
build-backend = "setuptools.build_meta"
[tool.setuptools.packages.find]
include = ["onnx2mlx*"]
[tool.pytest.ini_options]
testpaths = ["test"]
[tool.setuptools.dynamic]
version = { attr = "onnx2mlx.version.__version__" }