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# Copyright 2021-2022 NVIDIA Corporation. All rights reserved.
#
# Please refer to the NVIDIA end user license agreement (EULA) associated
# with this source code for terms and conditions that govern your use of
# this software. Any use, reproduction, disclosure, or distribution of
# this software and related documentation outside the terms of the EULA
# is strictly prohibited.
from Cython import Tempita
from Cython.Build import cythonize
from distutils.sysconfig import get_python_lib
import os
import platform
from pyclibrary import CParser
import sys
import sysconfig
from setuptools import find_packages, setup
from setuptools.extension import Extension
import versioneer
# ----------------------------------------------------------------------
# Fetch configuration options
CUDA_HOME = os.environ.get("CUDA_HOME")
if not CUDA_HOME:
CUDA_HOME = os.environ.get("CUDA_PATH")
if not CUDA_HOME:
raise RuntimeError('Environment variable CUDA_HOME or CUDA_PATH is not set')
nthreads = int(os.environ.get("PARALLEL_LEVEL", "0") or "0")
PARSER_CACHING = os.environ.get("CUDA_PYTHON_PARSER_CACHING", False)
PARSER_CACHING = True if PARSER_CACHING else False
# ----------------------------------------------------------------------
# Parse user-provided CUDA headers
header_dict = {
'driver' : ['cuda.h',
'cudaProfiler.h',
'cudaEGL.h',
'cudaGL.h',
'cudaVDPAU.h',
],
'runtime' : ['driver_types.h',
'vector_types.h',
'cuda_runtime.h',
'surface_types.h',
'texture_types.h',
'library_types.h',
'cuda_runtime_api.h',
'device_types.h',
'driver_functions.h',
'cuda_profiler_api.h',
'cuda_egl_interop.h',
'cuda_gl_interop.h',
'cuda_vdpau_interop.h',
],
'nvrtc' : ['nvrtc.h']}
replace = {' __device_builtin__ ':' ',
'CUDARTAPI ':' ',
'typedef __device_builtin__ enum cudaError cudaError_t;' : 'typedef cudaError cudaError_t;',
'typedef __device_builtin__ enum cudaOutputMode cudaOutputMode_t;' : 'typedef cudaOutputMode cudaOutputMode_t;',
'typedef enum cudaError cudaError_t;' : 'typedef cudaError cudaError_t;',
'typedef enum cudaOutputMode cudaOutputMode_t;' : 'typedef cudaOutputMode cudaOutputMode_t;',
'typedef enum cudaDataType_t cudaDataType_t;' : '',
'typedef enum libraryPropertyType_t libraryPropertyType_t;' : '',
' enum ' : ' ',
', enum ' : ', ',
'\(enum ' : '(',}
found_types = []
found_structs = {}
found_unions = {}
found_functions = []
found_values = []
include_path = os.path.join(CUDA_HOME, 'include')
print(f'Parsing headers in "{include_path}" (Caching {PARSER_CACHING})')
for library, header_list in header_dict.items():
print(f'Parsing {library} headers')
header_paths = []
for header in header_list:
path = os.path.join(include_path, header)
if not os.path.exists(path):
print(f'Missing header {header}')
continue
header_paths += [path]
parser = CParser(header_paths,
cache='./cache_{}'.format(library.split('.')[0]) if PARSER_CACHING else None,
replace=replace)
# Combine types with others since they sometimes get tangled
found_types += {key for key in parser.defs['types']}
found_types += {key for key in parser.defs['structs']}
found_structs.update(parser.defs['structs'])
found_types += {key for key in parser.defs['unions']}
found_unions.update(parser.defs['unions'])
found_types += {key for key in parser.defs['enums']}
found_functions += {key for key in parser.defs['functions']}
found_values += {key for key in parser.defs['values']}
# WAR: Temporary patch for select anon_ types
if 'CUlaunchAttributeValue_union' in parser.defs['unions']:
for name, typeName, _ in parser.defs['unions']['CUlaunchAttributeValue_union']['members']:
if name == 'clusterDim':
found_types += {'struct _CUlaunchAttributeValue_CUlaunchAttributeValue_CUlaunchAttributeValue_union_clusterDim_s'}
elif name == 'programmaticEvent':
found_types += {'struct _CUlaunchAttributeValue_CUlaunchAttributeValue_CUlaunchAttributeValue_union_programmaticEvent_s'}
if 'cudaLaunchAttributeValue' in parser.defs['unions']:
for name, typeName, _ in parser.defs['unions']['cudaLaunchAttributeValue']['members']:
if name == 'clusterDim':
found_types += {'struct _cudaLaunchAttributeValue_cudaLaunchAttributeValue_cudaLaunchAttributeValue_clusterDim_s'}
elif name == 'programmaticEvent':
found_types += {'struct _cudaLaunchAttributeValue_cudaLaunchAttributeValue_cudaLaunchAttributeValue_programmaticEvent_s'}
if len(found_functions) == 0:
if pyparsing.__version__ != '2.4.7':
raise RuntimeError('Parser found no functions. "pyclibrary" requires "pyparsing==2.4.7".')
raise RuntimeError('Parser found no functions. Is CUDA_HOME setup correctly?')
# Unwrap struct and union members
def unwrapMembers(found_dict):
for key in found_dict:
members = [var for var, _, _ in found_dict[key]['members']]
found_dict[key]['members'] = members
unwrapMembers(found_structs)
unwrapMembers(found_unions)
# ----------------------------------------------------------------------
# Generate
def fetch_input_files(path):
return [os.path.join(path, f) for f in os.listdir(path) if f.endswith('.in')]
def generate_output(infile, local):
assert infile.endswith('.in')
outfile = infile[:-3]
with open(infile) as f:
pxdcontent = Tempita.Template(f.read()).substitute(local)
if os.path.exists(outfile):
with open(outfile) as f:
if f.read() == pxdcontent:
print(f'Skipping {infile} (No change)')
return
with open(outfile, "w") as f:
print(f'Generating {infile}')
f.write(pxdcontent)
path_list = [os.path.join('cuda'),
os.path.join('cuda', '_cuda'),
os.path.join('cuda', '_lib'),
os.path.join('cuda', '_lib', 'ccudart')]
input_files = []
for path in path_list:
input_files += fetch_input_files(path)
for file in input_files:
generate_output(file, locals())
# ----------------------------------------------------------------------
# Prepare compile arguments
# For Cython
include_dirs = [
os.path.dirname(sysconfig.get_path("include")),
f'{CUDA_HOME}/include',
]
library_dirs = [get_python_lib(), os.path.join(os.sys.prefix, "lib")]
extra_compile_args = []
extra_cythonize_kwargs = {}
if sys.platform != 'win32':
extra_compile_args += [
'-std=c++14',
'-fpermissive',
'-Wno-deprecated-declarations',
'-D _GLIBCXX_ASSERTIONS',
'-fno-var-tracking-assignments'
]
if '--debug' in sys.argv:
extra_cythonize_kwargs['gdb_debug'] = True
extra_compile_args += ['-g', '-O0']
else:
extra_compile_args += ['-O3']
# For Setup
if sys.platform == 'win32':
from distutils import _msvccompiler
_msvccompiler.PLAT_TO_VCVARS['win-amd64'] = 'amd64'
setup_requires = ["cython"]
install_requires = ["cython"]
extensions = []
# ----------------------------------------------------------------------
# Cythonize
def do_cythonize(sources):
return cythonize(
[
Extension(
"*",
sources=sources,
include_dirs=include_dirs,
library_dirs=library_dirs,
runtime_library_dirs=[],
libraries=[],
language="c++",
extra_compile_args=extra_compile_args,
)
],
nthreads=nthreads,
compiler_directives=dict(
profile=True, language_level=3, embedsignature=True, binding=True
),
**extra_cythonize_kwargs)
sources_list = [
# private
["cuda/_cuda/*.pyx", "cuda/_cuda/loader.cpp"],
# utils
["cuda/_lib/*.pyx", "cuda/_lib/param_packer.cpp"],
["cuda/_lib/ccudart/*.pyx"],
# public
["cuda/*.pyx"],
# tests
["cuda/tests/*.pyx"]]
for sources in sources_list:
extensions += do_cythonize(sources)
# ----------------------------------------------------------------------
# Setup
setup(
name="cuda-python",
version=versioneer.get_version(),
description="Python bindings for CUDA",
url="https://github.com/NVIDIA/cuda-python",
author="NVIDIA Corporation",
author_email="cuda-python-conduct@nvidia.com",
license="NVIDIA Proprietary License",
license_files = ('LICENSE',),
classifiers=[
"Intended Audience :: Developers",
"Topic :: Database",
"Topic :: Scientific/Engineering",
"License :: Other/Proprietary License",
"Programming Language :: Python",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Environment :: GPU :: NVIDIA CUDA",
],
# Include the separately-compiled shared library
setup_requires=setup_requires,
ext_modules=extensions,
packages=find_packages(include=["cuda", "cuda.*"]),
package_data=dict.fromkeys(
find_packages(include=["cuda", "cuda.*"]),
["*.pxd", "*.pyx", "*.h", "*.cpp"],
),
cmdclass=versioneer.get_cmdclass(),
install_requires=install_requires,
zip_safe=False,
)
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