tensorrt-cpp-api/pyproject.toml at main · cyrusbehr/tensorrt-cpp-api · GitHub

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[build-system]
requires = ["scikit-build-core>=0.10", "pybind11>=2.12"]
build-backend = "scikit_build_core.build"

[project]
name = "tensorrt-cpp-api"
version = "7.0.0"
description = "A no-throw C++ TensorRT inference library for CNN models, with zero-copy Python bindings."
readme = "README.md"
requires-python = ">=3.9"
license = { file = "LICENSE" }
authors = [{ name = "Cyrus Behroozi" }]
keywords = ["tensorrt", "inference", "cuda", "gpu", "deep-learning", "cnn"]
classifiers = [
    "Programming Language :: C++",
    "Programming Language :: Python :: 3",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "Environment :: GPU :: NVIDIA CUDA",
    "Operating System :: POSIX :: Linux",
]

[project.urls]
Homepage = "https://github.com/cyrusbehr/tensorrt-cpp-api"
Repository = "https://github.com/cyrusbehr/tensorrt-cpp-api"

# scikit-build-core drives the project's own CMakeLists with the bindings turned on. TensorRT
# and CUDA are system/externally provided; point the build at a tarball install with, e.g.:
#   pip install . --config-settings=cmake.define.TensorRT_DIR=/opt/TensorRT-10.x
[tool.scikit-build]
minimum-version = "build-system.requires"
cmake.version = ">=3.22"
cmake.source-dir = "."
wheel.packages = ["python/trtcpp"]
build-dir = "build/skbuild/{wheel_tag}"

[tool.scikit-build.cmake.define]
TRT_CPP_API_BUILD_PYTHON = "ON"
TRT_CPP_API_BUILD_PREPROC = "ON"
TRT_CPP_API_BUILD_TESTS = "OFF"
TRT_CPP_API_BUILD_EXAMPLES = "OFF"

[tool.scikit-build.sdist]
exclude = [".github", "build", "engines", "models", "inputs", "images"]