import glob import os import sys import pybind11 from pybind11.setup_helpers import ParallelCompile from setuptools import Extension, find_packages, setup base_dir = os.path.dirname(os.path.abspath(__file__)) include_dirs = [pybind11.get_include()] library_dirs = [] def _get_long_description(): readme_path = os.path.join(base_dir, "README.md") if not os.path.exists(readme_path): return "" with open(readme_path, encoding="utf-8") as readme_file: return readme_file.read() def _get_project_version(): version_path = os.path.join(base_dir, "ctranslate2", "version.py") version = {} with open(version_path, encoding="utf-8") as fp: exec(fp.read(), version) return version["__version__"] def _maybe_add_library_root(lib_name): if "%s_ROOT" % lib_name in os.environ: root = os.environ["%s_ROOT" % lib_name] include_dirs.append("%s/include" % root) for lib_dir in ("lib", "lib64"): path = "%s/%s" % (root, lib_dir) if os.path.exists(path): library_dirs.append(path) break _maybe_add_library_root("CTRANSLATE2") cflags = ["-std=c++17", "-fvisibility=hidden"] ldflags = [] package_data = {} if sys.platform == "darwin": # std::visit requires macOS 10.14 cflags.append("-mmacosx-version-min=10.14") ldflags.append("-Wl,-rpath,/usr/local/lib") elif sys.platform == "win32": cflags = ["/std:c++17", "/d2FH4-"] package_data["ctranslate2"] = ["*.dll"] ctranslate2_module = Extension( "ctranslate2._ext", sources=glob.glob(os.path.join("cpp", "*.cc")), extra_compile_args=cflags, extra_link_args=ldflags, include_dirs=include_dirs, library_dirs=library_dirs, libraries=["ctranslate2"], ) ParallelCompile("CMAKE_BUILD_PARALLEL_LEVEL").install() setup( name="ctranslate2", version=_get_project_version(), license="MIT", description="Fast inference engine for Transformer models", long_description=_get_long_description(), long_description_content_type="text/markdown", author="OpenNMT", author_email="guillaume.klein@systrangroup.com", url="https://opennmt.net", classifiers=[ "Development Status :: 5 - Production/Stable", "Environment :: GPU :: NVIDIA CUDA :: 11.0", "Environment :: GPU :: NVIDIA CUDA :: 11.1", "Environment :: GPU :: NVIDIA CUDA :: 11.2", "Environment :: GPU :: NVIDIA CUDA :: 11.3", "Environment :: GPU :: NVIDIA CUDA :: 11.4", "Environment :: GPU :: NVIDIA CUDA :: 11.5", "Environment :: GPU :: NVIDIA CUDA :: 11.6", "Environment :: GPU :: NVIDIA CUDA :: 11.7", "Intended Audience :: Developers", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3 :: Only", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Topic :: Scientific/Engineering :: Artificial Intelligence", ], project_urls={ "Documentation": "https://opennmt.net/CTranslate2", "Forum": "https://forum.opennmt.net", "Gitter": "https://gitter.im/OpenNMT/CTranslate2", "Source": "https://github.com/OpenNMT/CTranslate2", }, keywords="opennmt nmt neural machine translation cuda mkl inference quantization", packages=find_packages(exclude=["bin"]), package_data=package_data, ext_modules=[ctranslate2_module], python_requires=">=3.7,<3.12", install_requires=[ "numpy", "pyyaml>=5.3,<7", ], entry_points={ "console_scripts": [ "ct2-fairseq-converter=ctranslate2.converters.fairseq:main", "ct2-marian-converter=ctranslate2.converters.marian:main", "ct2-openai-gpt2-converter=ctranslate2.converters.openai_gpt2:main", "ct2-opennmt-py-converter=ctranslate2.converters.opennmt_py:main", "ct2-opennmt-tf-converter=ctranslate2.converters.opennmt_tf:main", "ct2-opus-mt-converter=ctranslate2.converters.opus_mt:main", "ct2-transformers-converter=ctranslate2.converters.transformers:main", ], }, )