Vehicle-Anti-Theft-Face-Rec.../venv/Lib/site-packages/sklearn/_build_utils/openmp_helpers.py

114 lines
3.9 KiB
Python

"""Helpers for OpenMP support during the build."""
# This code is adapted for a large part from the astropy openmp helpers, which
# can be found at: https://github.com/astropy/astropy-helpers/blob/master/astropy_helpers/openmp_helpers.py # noqa
import os
import sys
import textwrap
import warnings
import subprocess
from distutils.errors import CompileError, LinkError
from .pre_build_helpers import compile_test_program
def get_openmp_flag(compiler):
if hasattr(compiler, 'compiler'):
compiler = compiler.compiler[0]
else:
compiler = compiler.__class__.__name__
if sys.platform == "win32" and ('icc' in compiler or 'icl' in compiler):
return ['/Qopenmp']
elif sys.platform == "win32":
return ['/openmp']
elif sys.platform == "darwin" and ('icc' in compiler or 'icl' in compiler):
return ['-openmp']
elif sys.platform == "darwin" and 'openmp' in os.getenv('CPPFLAGS', ''):
# -fopenmp can't be passed as compile flag when using Apple-clang.
# OpenMP support has to be enabled during preprocessing.
#
# For example, our macOS wheel build jobs use the following environment
# variables to build with Apple-clang and the brew installed "libomp":
#
# export CPPFLAGS="$CPPFLAGS -Xpreprocessor -fopenmp"
# export CFLAGS="$CFLAGS -I/usr/local/opt/libomp/include"
# export CXXFLAGS="$CXXFLAGS -I/usr/local/opt/libomp/include"
# export LDFLAGS="$LDFLAGS -Wl,-rpath,/usr/local/opt/libomp/lib
# -L/usr/local/opt/libomp/lib -lomp"
return []
# Default flag for GCC and clang:
return ['-fopenmp']
def check_openmp_support():
"""Check whether OpenMP test code can be compiled and run"""
code = textwrap.dedent(
"""\
#include <omp.h>
#include <stdio.h>
int main(void) {
#pragma omp parallel
printf("nthreads=%d\\n", omp_get_num_threads());
return 0;
}
""")
extra_preargs = os.getenv('LDFLAGS', None)
if extra_preargs is not None:
extra_preargs = extra_preargs.strip().split(" ")
extra_preargs = [
flag for flag in extra_preargs
if flag.startswith(('-L', '-Wl,-rpath', '-l'))]
extra_postargs = get_openmp_flag
try:
output = compile_test_program(code,
extra_preargs=extra_preargs,
extra_postargs=extra_postargs)
if 'nthreads=' in output[0]:
nthreads = int(output[0].strip().split('=')[1])
openmp_supported = len(output) == nthreads
else:
openmp_supported = False
except (CompileError, LinkError, subprocess.CalledProcessError):
openmp_supported = False
if not openmp_supported:
if os.getenv("SKLEARN_FAIL_NO_OPENMP"):
raise CompileError("Failed to build with OpenMP")
else:
message = textwrap.dedent(
"""
***********
* WARNING *
***********
It seems that scikit-learn cannot be built with OpenMP.
- Make sure you have followed the installation instructions:
https://scikit-learn.org/dev/developers/advanced_installation.html
- If your compiler supports OpenMP but you still see this
message, please submit a bug report at:
https://github.com/scikit-learn/scikit-learn/issues
- The build will continue with OpenMP-based parallelism
disabled. Note however that some estimators will run in
sequential mode instead of leveraging thread-based
parallelism.
***
""")
warnings.warn(message)
return openmp_supported