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pyproject.toml.cu13
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70 lines (64 loc) · 1.88 KB
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[build-system]
requires = ["scikit-build-core>=0.10"]
build-backend = "scikit_build_core.build"
[project]
name = "cudaq-qec-cu13"
dynamic = ["version"]
description = "Accelerated libraries for Quantum Error Correction built on CUDA-Q"
authors = [{name = "NVIDIA Corporation & Affiliates"}]
maintainers = [{name = "NVIDIA Corporation & Affiliates"}]
requires-python = ">=3.11"
readme = "README.md"
dependencies = [
'cuda-quantum-cu13 >= 0.13',
]
classifiers = [
'Intended Audience :: Science/Research',
'Intended Audience :: Developers',
'Programming Language :: Python',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.11',
'Programming Language :: Python :: 3.12',
'Programming Language :: Python :: 3.13',
"Environment :: GPU :: NVIDIA CUDA",
"Environment :: GPU :: NVIDIA CUDA :: 12",
"Environment :: GPU :: NVIDIA CUDA :: 13",
'Topic :: Software Development',
'Topic :: Scientific/Engineering',
]
[project.urls]
Homepage = "https://nvidia.github.io/cudaqx"
Documentation = "https://nvidia.github.io/cudaqx/components/qec/introduction.html"
Repository = "https://github.com/NVIDIA/cudaqx"
[tool.scikit-build]
metadata.version.provider = "scikit_build_core.metadata.setuptools_scm"
build-dir = "_skbuild"
build.verbose = true
cmake.version = ">=3.28"
cmake.build-type = "Release"
install.components = ["qec-python", "qec-lib", "qec-lib-plugins"]
wheel.packages = []
logging.level = "DEBUG"
ninja.version = ">=1.10"
[tool.scikit-build.cmake.define]
CUDAQX_QEC_INCLUDE_TESTS = false
CUDAQX_QEC_BINDINGS_PYTHON = true
[tool.setuptools_scm]
write_to = "_version.py"
[project.optional-dependencies]
tensor_network_decoder = [
"quimb",
"opt_einsum",
"torch>=2.9.0",
"cuquantum-python-cu13==25.09"
]
trt_decoder = [
"tensorrt-cu13"
]
all = [
"quimb",
"opt_einsum",
"torch>=2.9.0",
"cuquantum-python-cu13==25.09",
"tensorrt-cu13"
]