def compile_str(
module_name,
src_code,
location=None,
include_dirs=[],
lib_dirs=[],
libs=[],
preargs=[],
rpaths=rpath_defaults,
py_module=True,
hide_symbols=True,
):
"""
Parameters
----------
module_name: str
This has been embedded in the src_code.
src_code
A complete c or c++ source listing for the module.
location
A pre-existing filesystem directory where the
cpp file and .so will be written.
include_dirs
A list of include directory names (each gets prefixed with -I).
lib_dirs
A list of library search path directory names (each gets
prefixed with -L).
libs
A list of libraries to link with (each gets prefixed with -l).
preargs
A list of extra compiler arguments.
rpaths
List of rpaths to use with Xlinker. Defaults to `rpath_defaults`.
py_module
If False, compile to a shared library, but
do not import as a Python module.
hide_symbols
If True (the default), hide all symbols from the library symbol
table unless explicitely exported.
Returns
-------
module
Dynamically-imported python module of the compiled code.
(unless py_module is False, in that case returns None.)
Notes
-----
On Windows 7 with nvcc 3.1 we need to compile in the real directory
Otherwise nvcc never finish.
"""
rpaths = list(rpaths)
if sys.platform == "win32":
# Remove some compilation args that cl.exe does not understand.
# cl.exe is the compiler used by nvcc on Windows.
for a in ["-Wno-write-strings", "-Wno-unused-label", "-Wno-unused-variable", "-fno-math-errno"]:
if a in preargs:
preargs.remove(a)
if preargs is None:
preargs = []
else:
preargs = list(preargs)
if sys.platform != "win32":
preargs.append("-fPIC")
cuda_root = config.cuda.root
# The include dirs gived by the user should have precedence over
# the standards ones.
include_dirs = include_dirs + std_include_dirs()
if os.path.abspath(os.path.split(__file__)[0]) not in include_dirs:
include_dirs.append(os.path.abspath(os.path.split(__file__)[0]))
libs = std_libs() + libs
if "cudart" not in libs:
libs.append("cudart")
lib_dirs = std_lib_dirs() + lib_dirs
if any(ld == os.path.join(cuda_root, "lib") or ld == os.path.join(cuda_root, "lib64") for ld in lib_dirs):
warnings.warn(
"You have the cuda library directory in your "
"lib_dirs. This has been known to cause problems "
"and should not be done."
)
if sys.platform != "darwin":
# sometimes, the linker cannot find -lpython so we need to tell it
# explicitly where it is located
# this returns somepath/lib/python2.x
python_lib = distutils.sysconfig.get_python_lib(plat_specific=1, standard_lib=1)
python_lib = os.path.dirname(python_lib)
if python_lib not in lib_dirs:
lib_dirs.append(python_lib)
cppfilename = os.path.join(location, "mod.cu")
cppfile = open(cppfilename, "w")
_logger.debug("Writing module C++ code to %s", cppfilename)
cppfile.write(src_code)
cppfile.close()
lib_filename = os.path.join(location, "%s.%s" % (module_name, get_lib_extension()))
_logger.debug("Generating shared lib %s", lib_filename)
# TODO: Why do these args cause failure on gtx285 that has 1.3
# compute capability? '--gpu-architecture=compute_13',
# '--gpu-code=compute_13',
# nvcc argument
preargs1 = []
for pa in preargs:
for pattern in [
"-O",
"-arch=",
"-ccbin=",
"-G",
"-g",
"-I",
"-L",
"--fmad",
"--ftz",
"--maxrregcount",
"--prec-div",
"--prec-sqrt",
"--use_fast_math",
"-fmad",
"-ftz",
"-maxrregcount",
"-prec-div",
"-prec-sqrt",
"-use_fast_math",
"--use-local-env",
"--cl-version=",
]:
if pa.startswith(pattern):
preargs1.append(pa)
preargs2 = [pa for pa in preargs if pa not in preargs1] # other arguments
# Don't put -G by default, as it slow things down.
# We aren't sure if -g slow things down, so we don't put it by default.
cmd = [nvcc_path, "-shared"] + preargs1
if config.nvcc.compiler_bindir:
cmd.extend(["--compiler-bindir", config.nvcc.compiler_bindir])
if sys.platform == "win32":
# add flags for Microsoft compiler to create .pdb files
preargs2.extend(["/Zi", "/MD"])
cmd.extend(["-Xlinker", "/DEBUG"])
# remove the complaints for the duplication of `double round(double)`
# in both math_functions.h and pymath.h,
# by not including the one in pymath.h
cmd.extend(["-D HAVE_ROUND"])
else:
if hide_symbols:
preargs2.append("-fvisibility=hidden")
if local_bitwidth() == 64:
cmd.append("-m64")
else:
cmd.append("-m32")
if len(preargs2) > 0:
cmd.extend(["-Xcompiler", ",".join(preargs2)])
# We should not use rpath if possible. If the user provided
# provided an cuda.root flag, we need to add one, but
# otherwise, we don't add it. See gh-1540 and
# https://wiki.debian.org/RpathIssue for details.
if user_provided_cuda_root and os.path.exists(os.path.join(config.cuda.root, "lib")):
rpaths.append(os.path.join(config.cuda.root, "lib"))
if sys.platform != "darwin":
# the CUDA libs are universal (contain both 32-bit and 64-bit)
rpaths.append(os.path.join(config.cuda.root, "lib64"))
if sys.platform != "win32":
# the -rpath option is not understood by the Microsoft linker
for rpath in rpaths:
cmd.extend(["-Xlinker", ",".join(["-rpath", rpath])])
cmd.extend("-I%s" % idir for idir in include_dirs)
cmd.extend(["-o", lib_filename])
cmd.append(os.path.split(cppfilename)[-1])
cmd.extend(["-L%s" % ldir for ldir in lib_dirs])
cmd.extend(["-l%s" % l for l in libs])
if sys.platform == "darwin":
# This tells the compiler to use the already-loaded python
# symbols (which should always be the right ones).
cmd.extend(["-Xcompiler", "-undefined,dynamic_lookup"])
# Remove "-u Symbol" arguments, since they are usually not
# relevant for the new compilation, even if they were used for
# compiling python. If they are necessary, the nvcc syntax is
# "-U Symbol" with a capital U.
done = False
while not done:
try:
indexof = cmd.index("-u")
cmd.pop(indexof) # Remove -u
cmd.pop(indexof) # Remove argument to -u
except ValueError as e:
done = True
# CUDA Toolkit v4.1 Known Issues:
# Host linker on Mac OS 10.7 (and 10.6 for me) passes -no_pie option
# to nvcc this option is not recognized and generates an error
# http://stackoverflow.com/questions/9327265/nvcc-unknown-option-no-pie
# Passing -Xlinker -pie stops -no_pie from getting passed
if sys.platform == "darwin" and nvcc_version >= "4.1":
cmd.extend(["-Xlinker", "-pie"])
# cmd.append("--ptxas-options=-v") #uncomment this to see
# register and shared-mem requirements
_logger.debug("Running cmd %s", " ".join(cmd))
orig_dir = os.getcwd()
try:
os.chdir(location)
p = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
nvcc_stdout, nvcc_stderr = decode_iter(p.communicate()[:2])
finally:
os.chdir(orig_dir)
for eline in nvcc_stderr.split("\n"):
if not eline:
continue
if "skipping incompatible" in eline:
# ld is skipping an incompatible library
continue
if "declared but never referenced" in eline:
continue
if "statement is unreachable" in eline:
continue
_logger.info("NVCC: %s", eline)
if p.returncode:
for i, l in enumerate(src_code.split("\n")):
print(i + 1, l, file=sys.stderr)
print("===============================", file=sys.stderr)
# filter the output from the compiler
for l in nvcc_stderr.split("\n"):
if not l:
continue
# filter out the annoying declaration warnings
try:
if l[l.index(":") :].startswith(": warning: variable"):
continue
if l[l.index(":") :].startswith(": warning: label"):
continue
except Exception:
pass
print(l, file=sys.stderr)
print(nvcc_stdout)
print(cmd)
raise Exception("nvcc return status", p.returncode, "for cmd", " ".join(cmd))
elif config.cmodule.compilation_warning and nvcc_stdout:
print(nvcc_stdout)
if nvcc_stdout:
# this doesn't happen to my knowledge
print("DEBUG: nvcc STDOUT", nvcc_stdout, file=sys.stderr)
if py_module:
# touch the __init__ file
open(os.path.join(location, "__init__.py"), "w").close()
return dlimport(lib_filename)
def compile_str(
module_name, src_code,
location=None, include_dirs=[], lib_dirs=[], libs=[], preargs=[],
rpaths=rpath_defaults, py_module=True, hide_symbols=True):
""":param module_name: string (this has been embedded in the src_code
:param src_code: a complete c or c++ source listing for the module
:param location: a pre-existing filesystem directory where the
cpp file and .so will be written
:param include_dirs: a list of include directory names
(each gets prefixed with -I)
:param lib_dirs: a list of library search path directory names
(each gets prefixed with -L)
:param libs: a list of libraries to link with
(each gets prefixed with -l)
:param preargs: a list of extra compiler arguments
:param rpaths: list of rpaths to use with Xlinker.
Defaults to `rpath_defaults`.
:param py_module: if False, compile to a shared library, but
do not import as a Python module.
:param hide_symbols: if True (the default), hide all symbols
from the library symbol table unless explicitely exported.
:returns: dynamically-imported python module of the compiled code.
(unless py_module is False, in that case returns None.)
:note 1: On Windows 7 with nvcc 3.1 we need to compile in the
real directory Otherwise nvcc never finish.
"""
rpaths = list(rpaths)
if sys.platform == "win32":
# Remove some compilation args that cl.exe does not understand.
# cl.exe is the compiler used by nvcc on Windows.
for a in ["-Wno-write-strings", "-Wno-unused-label",
"-Wno-unused-variable", "-fno-math-errno"]:
if a in preargs:
preargs.remove(a)
if preargs is None:
preargs = []
else:
preargs = list(preargs)
if sys.platform != 'win32':
preargs.append('-fPIC')
cuda_root = config.cuda.root
# The include dirs gived by the user should have precedence over
# the standards ones.
include_dirs = include_dirs + std_include_dirs()
if os.path.abspath(os.path.split(__file__)[0]) not in include_dirs:
include_dirs.append(os.path.abspath(os.path.split(__file__)[0]))
libs = std_libs() + libs
if 'cudart' not in libs:
libs.append('cudart')
lib_dirs = std_lib_dirs() + lib_dirs
if any(ld == os.path.join(cuda_root, 'lib') or
ld == os.path.join(cuda_root, 'lib64') for ld in lib_dirs):
warnings.warn("You have the cuda library directory in your "
"lib_dirs. This has been known to cause problems "
"and should not be done.")
if sys.platform != 'darwin':
# sometimes, the linker cannot find -lpython so we need to tell it
# explicitly where it is located
# this returns somepath/lib/python2.x
python_lib = distutils.sysconfig.get_python_lib(plat_specific=1, \
standard_lib=1)
python_lib = os.path.dirname(python_lib)
if python_lib not in lib_dirs:
lib_dirs.append(python_lib)
cppfilename = os.path.join(location, 'mod.cu')
cppfile = open(cppfilename, 'w')
_logger.debug('Writing module C++ code to %s', cppfilename)
cppfile.write(src_code)
cppfile.close()
lib_filename = os.path.join(location, '%s.%s' %
(module_name, get_lib_extension()))
_logger.debug('Generating shared lib %s', lib_filename)
# TODO: Why do these args cause failure on gtx285 that has 1.3
# compute capability? '--gpu-architecture=compute_13',
# '--gpu-code=compute_13',
# nvcc argument
preargs1 = []
for pa in preargs:
for pattern in ['-O', '-arch=', '-ccbin=', '-G', '-g', '-I',
'-L', '--fmad', '--ftz', '--maxrregcount',
'--prec-div', '--prec-sqrt', '--use_fast_math',
'-fmad', '-ftz', '-maxrregcount',
'-prec-div', '-prec-sqrt', '-use_fast_math',
'--use-local-env', '--cl-version=']:
if pa.startswith(pattern):
preargs1.append(pa)
preargs2 = [pa for pa in preargs
if pa not in preargs1] # other arguments
# Don't put -G by default, as it slow things down.
# We aren't sure if -g slow things down, so we don't put it by default.
cmd = [nvcc_path, '-shared'] + preargs1
if config.nvcc.compiler_bindir:
cmd.extend(['--compiler-bindir', config.nvcc.compiler_bindir])
if sys.platform == 'win32':
# add flags for Microsoft compiler to create .pdb files
preargs2.extend(['/Zi', '/MD'])
cmd.extend(['-Xlinker', '/DEBUG'])
# remove the complaints for the duplication of `double round(double)`
# in both math_functions.h and pymath.h,
# by not including the one in pymath.h
cmd.extend(['-D HAVE_ROUND'])
else:
if hide_symbols:
preargs2.append('-fvisibility=hidden')
if local_bitwidth() == 64:
cmd.append('-m64')
else:
cmd.append('-m32')
if len(preargs2) > 0:
cmd.extend(['-Xcompiler', ','.join(preargs2)])
# We should not use rpath if possible. If the user provided
# provided an cuda.root flag, we need to add one, but
# otherwise, we don't add it. See gh-1540 and
# https://wiki.debian.org/RpathIssue for details.
if (user_provided_cuda_root and
os.path.exists(os.path.join(config.cuda.root, 'lib'))):
rpaths.append(os.path.join(config.cuda.root, 'lib'))
if sys.platform != 'darwin':
# the CUDA libs are universal (contain both 32-bit and 64-bit)
rpaths.append(os.path.join(config.cuda.root, 'lib64'))
if sys.platform != 'win32':
# the -rpath option is not understood by the Microsoft linker
for rpath in rpaths:
cmd.extend(['-Xlinker', ','.join(['-rpath', rpath])])
cmd.extend('-I%s' % idir for idir in include_dirs)
cmd.extend(['-o', lib_filename])
cmd.append(os.path.split(cppfilename)[-1])
cmd.extend(['-L%s' % ldir for ldir in lib_dirs])
cmd.extend(['-l%s' % l for l in libs])
if sys.platform == 'darwin':
# This tells the compiler to use the already-loaded python
# symbols (which should always be the right ones).
cmd.extend(['-Xcompiler', '-undefined,dynamic_lookup'])
# Remove "-u Symbol" arguments, since they are usually not
# relevant for the new compilation, even if they were used for
# compiling python. If they are necessary, the nvcc syntax is
# "-U Symbol" with a capital U.
done = False
while not done:
try:
indexof = cmd.index('-u')
cmd.pop(indexof) # Remove -u
cmd.pop(indexof) # Remove argument to -u
except ValueError as e:
done = True
# CUDA Toolkit v4.1 Known Issues:
# Host linker on Mac OS 10.7 (and 10.6 for me) passes -no_pie option
# to nvcc this option is not recognized and generates an error
# http://stackoverflow.com/questions/9327265/nvcc-unknown-option-no-pie
# Passing -Xlinker -pie stops -no_pie from getting passed
if sys.platform == 'darwin' and nvcc_version >= '4.1':
cmd.extend(['-Xlinker', '-pie'])
# cmd.append("--ptxas-options=-v") #uncomment this to see
# register and shared-mem requirements
_logger.debug('Running cmd %s', ' '.join(cmd))
orig_dir = os.getcwd()
try:
os.chdir(location)
p = subprocess.Popen(
cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
nvcc_stdout, nvcc_stderr = decode_iter(p.communicate()[:2])
finally:
os.chdir(orig_dir)
for eline in nvcc_stderr.split('\n'):
if not eline:
continue
if 'skipping incompatible' in eline:
# ld is skipping an incompatible library
continue
if 'declared but never referenced' in eline:
continue
if 'statement is unreachable' in eline:
continue
_logger.info("NVCC: %s", eline)
if p.returncode:
for i, l in enumerate(src_code.split('\n')):
print(i + 1, l, file=sys.stderr)
print('===============================', file=sys.stderr)
# filter the output from the compiler
for l in nvcc_stderr.split('\n'):
if not l:
continue
# filter out the annoying declaration warnings
try:
if l[l.index(':'):].startswith(': warning: variable'):
continue
if l[l.index(':'):].startswith(': warning: label'):
continue
except Exception:
pass
print(l, file=sys.stderr)
print(nvcc_stdout)
print(cmd)
raise Exception('nvcc return status', p.returncode,
'for cmd', ' '.join(cmd))
elif config.cmodule.compilation_warning and nvcc_stdout:
print(nvcc_stdout)
if nvcc_stdout:
# this doesn't happen to my knowledge
print("DEBUG: nvcc STDOUT", nvcc_stdout, file=sys.stderr)
if py_module:
# touch the __init__ file
open(os.path.join(location, "__init__.py"), 'w').close()
return dlimport(lib_filename)
# Host linker on Mac OS 10.7 (and 10.6 for me) passes -no_pie option
# to nvcc this option is not recognized and generates an error
# http://stackoverflow.com/questions/9327265/nvcc-unknown-option-no-pie
# Passing -Xlinker -pie stops -no_pie from getting passed
if sys.platform == 'darwin' and nvcc_version >= '4.1':
cmd.extend(['-Xlinker', '-pie'])
#cmd.append("--ptxas-options=-v") #uncomment this to see
#register and shared-mem requirements
_logger.debug('Running cmd %s', ' '.join(cmd))
orig_dir = os.getcwd()
try:
os.chdir(location)
p = subprocess.Popen(
cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
nvcc_stdout, nvcc_stderr = decode_iter(p.communicate()[:2])
finally:
os.chdir(orig_dir)
for eline in nvcc_stderr.split('\n'):
if not eline:
continue
if 'skipping incompatible' in eline:
#ld is skipping an incompatible library
continue
if 'declared but never referenced' in eline:
continue
if 'statement is unreachable' in eline:
continue
_logger.info("NVCC: %s", eline)
class NVCC_compiler(object):
@staticmethod
def version_str():
return "nvcc " + nvcc_version
@staticmethod
def compile_args():
"""
This args will be received by compile_str() in the preargs paramter.
They will also be included in the "hard" part of the key module.
"""
flags = [flag for flag in config.nvcc.flags.split(' ') if flag]
if config.nvcc.fastmath:
flags.append('-use_fast_math')
cuda_ndarray_cuh_hash = hash_from_file(
os.path.join(os.path.split(__file__)[0], 'cuda_ndarray.cuh'))
flags.append('-DCUDA_NDARRAY_CUH=' + cuda_ndarray_cuh_hash)
# numpy 1.7 deprecated the following macro but the didn't
# existed in the past
numpy_ver = [int(n) for n in numpy.__version__.split('.')[:2]]
if bool(numpy_ver < [1, 7]):
flags.append("-D NPY_ARRAY_ENSURECOPY=NPY_ENSURECOPY")
flags.append("-D NPY_ARRAY_ALIGNED=NPY_ALIGNED")
flags.append("-D NPY_ARRAY_WRITEABLE=NPY_WRITEABLE")
flags.append("-D NPY_ARRAY_UPDATE_ALL=NPY_UPDATE_ALL")
flags.append("-D NPY_ARRAY_C_CONTIGUOUS=NPY_C_CONTIGUOUS")
flags.append("-D NPY_ARRAY_F_CONTIGUOUS=NPY_F_CONTIGUOUS")
# If the user didn't specify architecture flags add them
if not any(['-arch=sm_' in f for f in flags]):
# We compile cuda_ndarray.cu during import.
# We should not add device properties at that time.
# As the device is not selected yet!
# TODO: re-compile cuda_ndarray when we bind to a GPU?
import theano.sandbox.cuda
if hasattr(theano.sandbox, 'cuda'):
n = theano.sandbox.cuda.use.device_number
if n is None:
_logger.warn(
"We try to get compilation arguments for CUDA"
" code, but the GPU device is not initialized."
" This is probably caused by an Op that work on"
" the GPU that don't inherit from GpuOp."
" We Initialize the GPU now.")
theano.sandbox.cuda.use(
"gpu",
force=True,
default_to_move_computation_to_gpu=False,
move_shared_float32_to_gpu=False,
enable_cuda=False)
n = theano.sandbox.cuda.use.device_number
p = theano.sandbox.cuda.device_properties(n)
flags.append('-arch=sm_' + str(p['major']) + str(p['minor']))
return flags
@staticmethod
def compile_str(module_name,
src_code,
location=None,
include_dirs=[],
lib_dirs=[],
libs=[],
preargs=[],
rpaths=rpath_defaults,
py_module=True):
""":param module_name: string (this has been embedded in the src_code
:param src_code: a complete c or c++ source listing for the module
:param location: a pre-existing filesystem directory where the
cpp file and .so will be written
:param include_dirs: a list of include directory names
(each gets prefixed with -I)
:param lib_dirs: a list of library search path directory names
(each gets prefixed with -L)
:param libs: a list of libraries to link with
(each gets prefixed with -l)
:param preargs: a list of extra compiler arguments
:param rpaths: list of rpaths to use with Xlinker.
Defaults to `rpath_defaults`.
:param py_module: if False, compile to a shared library, but
do not import as a Python module.
:returns: dynamically-imported python module of the compiled code.
(unless py_module is False, in that case returns None.)
:note 1: On Windows 7 with nvcc 3.1 we need to compile in the
real directory Otherwise nvcc never finish.
"""
rpaths = list(rpaths)
if sys.platform == "win32":
# Remove some compilation args that cl.exe does not understand.
# cl.exe is the compiler used by nvcc on Windows.
for a in [
"-Wno-write-strings", "-Wno-unused-label",
"-Wno-unused-variable", "-fno-math-errno"
]:
if a in preargs:
preargs.remove(a)
if preargs is None:
preargs = []
else:
preargs = list(preargs)
if sys.platform != 'win32':
preargs.append('-fPIC')
no_opt = False
cuda_root = config.cuda.root
#The include dirs gived by the user should have precedence over
#the standards ones.
include_dirs = include_dirs + std_include_dirs()
if os.path.abspath(os.path.split(__file__)[0]) not in include_dirs:
include_dirs.append(os.path.abspath(os.path.split(__file__)[0]))
libs = std_libs() + libs
if 'cudart' not in libs:
libs.append('cudart')
lib_dirs = std_lib_dirs() + lib_dirs
if cuda_root:
lib_dirs.append(os.path.join(cuda_root, 'lib'))
# from Benjamin Schrauwen April 14 2010
if sys.platform != 'darwin':
# OS X uses universal libraries
lib_dirs.append(os.path.join(cuda_root, 'lib64'))
if sys.platform != 'darwin':
# sometimes, the linker cannot find -lpython so we need to tell it
# explicitly where it is located
# this returns somepath/lib/python2.x
python_lib = distutils.sysconfig.get_python_lib(plat_specific=1, \
standard_lib=1)
python_lib = os.path.dirname(python_lib)
if python_lib not in lib_dirs:
lib_dirs.append(python_lib)
cppfilename = os.path.join(location, 'mod.cu')
cppfile = open(cppfilename, 'w')
_logger.debug('Writing module C++ code to %s', cppfilename)
cppfile.write(src_code)
cppfile.close()
lib_filename = os.path.join(
location, '%s.%s' % (module_name, get_lib_extension()))
_logger.debug('Generating shared lib %s', lib_filename)
# TODO: Why do these args cause failure on gtx285 that has 1.3
# compute capability? '--gpu-architecture=compute_13',
# '--gpu-code=compute_13',
#nvcc argument
preargs1 = []
for pa in preargs:
for pattern in [
'-O', '-arch=', '-ccbin='
'--fmad', '--ftz', '--maxrregcount', '--prec-div',
'--prec-sqrt', '--use_fast_math', '-fmad', '-ftz',
'-maxrregcount', '-prec-div', '-prec-sqrt',
'-use_fast_math'
]:
if pa.startswith(pattern):
preargs1.append(pa)
preargs2 = [pa for pa in preargs
if pa not in preargs1] # other arguments
cmd = [nvcc_path, '-shared', '-g'] + preargs1
if config.nvcc.compiler_bindir:
cmd.extend(['--compiler-bindir', config.nvcc.compiler_bindir])
if sys.platform == 'win32':
# add flags for Microsoft compiler to create .pdb files
preargs2.extend(['/Zi', '/MD'])
cmd.extend(['-Xlinker', '/DEBUG'])
if local_bitwidth() == 64:
cmd.append('-m64')
else:
cmd.append('-m32')
if len(preargs2) > 0:
cmd.extend(['-Xcompiler', ','.join(preargs2)])
# We should not use rpath if possible. If the user provided
# provided an cuda.root flag, we need to add one, but
# otherwise, we don't add it. See gh-1540 and
# https://wiki.debian.org/RpathIssue for details.
if (user_provided_cuda_root
and os.path.exists(os.path.join(config.cuda.root, 'lib'))):
rpaths.append(os.path.join(config.cuda.root, 'lib'))
if sys.platform != 'darwin':
# the CUDA libs are universal (contain both 32-bit and 64-bit)
rpaths.append(os.path.join(config.cuda.root, 'lib64'))
if sys.platform != 'win32':
# the -rpath option is not understood by the Microsoft linker
for rpath in rpaths:
cmd.extend(['-Xlinker', ','.join(['-rpath', rpath])])
cmd.extend('-I%s' % idir for idir in include_dirs)
cmd.extend(['-o', lib_filename])
cmd.append(os.path.split(cppfilename)[-1])
cmd.extend(['-L%s' % ldir for ldir in lib_dirs])
cmd.extend(['-l%s' % l for l in libs])
if sys.platform == 'darwin':
# This tells the compiler to use the already-loaded python
# symbols (which should always be the right ones).
cmd.extend(['-Xcompiler', '-undefined,dynamic_lookup'])
# Remove "-u Symbol" arguments, since they are usually not
# relevant for the new compilation, even if they were used for
# compiling python. If they are necessary, the nvcc syntax is
# "-U Symbol" with a capital U.
done = False
while not done:
try:
indexof = cmd.index('-u')
cmd.pop(indexof) # Remove -u
cmd.pop(indexof) # Remove argument to -u
except ValueError, e:
done = True
# CUDA Toolkit v4.1 Known Issues:
# Host linker on Mac OS 10.7 (and 10.6 for me) passes -no_pie option
# to nvcc this option is not recognized and generates an error
# http://stackoverflow.com/questions/9327265/nvcc-unknown-option-no-pie
# Passing -Xlinker -pie stops -no_pie from getting passed
if sys.platform == 'darwin' and nvcc_version >= '4.1':
cmd.extend(['-Xlinker', '-pie'])
#cmd.append("--ptxas-options=-v") #uncomment this to see
#register and shared-mem requirements
_logger.debug('Running cmd %s', ' '.join(cmd))
orig_dir = os.getcwd()
try:
os.chdir(location)
p = subprocess.Popen(cmd,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE)
nvcc_stdout, nvcc_stderr = decode_iter(p.communicate()[:2])
finally:
os.chdir(orig_dir)
for eline in nvcc_stderr.split('\n'):
if not eline:
continue
if 'skipping incompatible' in eline:
#ld is skipping an incompatible library
continue
if 'declared but never referenced' in eline:
continue
if 'statement is unreachable' in eline:
continue
_logger.info("NVCC: %s", eline)
if p.returncode:
for i, l in enumerate(src_code.split('\n')):
print >> sys.stderr, i + 1, l
print >> sys.stderr, '==============================='
# filter the output from the compiler
for l in nvcc_stderr.split('\n'):
if not l:
continue
# filter out the annoying declaration warnings
try:
if l[l.index(':'):].startswith(': warning: variable'):
continue
if l[l.index(':'):].startswith(': warning: label'):
continue
except Exception:
pass
print >> sys.stderr, l
print nvcc_stdout
print cmd
raise Exception('nvcc return status', p.returncode, 'for cmd',
' '.join(cmd))
elif config.cmodule.compilation_warning and nvcc_stdout:
print nvcc_stdout
if nvcc_stdout:
# this doesn't happen to my knowledge
print >> sys.stderr, "DEBUG: nvcc STDOUT", nvcc_stdout
if py_module:
#touch the __init__ file
open(os.path.join(location, "__init__.py"), 'w').close()
return dlimport(lib_filename)
# to nvcc this option is not recognized and generates an error
# http://stackoverflow.com/questions/9327265/nvcc-unknown-option-no-pie
# Passing -Xlinker -pie stops -no_pie from getting passed
if sys.platform == 'darwin' and nvcc_version >= '4.1':
cmd.extend(['-Xlinker', '-pie'])
#cmd.append("--ptxas-options=-v") #uncomment this to see
#register and shared-mem requirements
_logger.debug('Running cmd %s', ' '.join(cmd))
orig_dir = os.getcwd()
try:
os.chdir(location)
p = subprocess.Popen(cmd,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE)
nvcc_stdout, nvcc_stderr = decode_iter(p.communicate()[:2])
finally:
os.chdir(orig_dir)
for eline in nvcc_stderr.split('\n'):
if not eline:
continue
if 'skipping incompatible' in eline:
#ld is skipping an incompatible library
continue
if 'declared but never referenced' in eline:
continue
if 'statement is unreachable' in eline:
continue
_logger.info("NVCC: %s", eline)