TIF_E41253394/venv/Lib/site-packages/threadpoolctl.py

1715 lines
66 KiB
Python

"""threadpoolctl
This module provides utilities to introspect native libraries that relies on
thread pools (notably BLAS and OpenMP implementations) and dynamically set the
maximal number of threads they can use.
"""
# License: BSD 3-Clause
# The code to introspect dynamically loaded libraries on POSIX systems is
# adapted from code by Intel developer @anton-malakhov available at
# https://github.com/IntelPython/smp (Copyright (c) 2017, Intel Corporation)
# and also published under the BSD 3-Clause license
import os
import re
import sys
import ctypes
import itertools
import textwrap
from threading import Thread
from typing import Callable, Literal, final
import warnings
from abc import ABC, abstractmethod
from functools import lru_cache
from contextlib import ContextDecorator
__version__ = "3.7.0"
__all__ = [
"threadpool_limits",
"threadpool_info",
"ThreadpoolController",
"LibController",
"register",
]
# One can get runtime errors or even segfaults due to multiple OpenMP libraries
# loaded simultaneously which can happen easily in Python when importing and
# using compiled extensions built with different compilers and therefore
# different OpenMP runtimes in the same program. In particular libiomp (used by
# Intel ICC) and libomp used by clang/llvm tend to crash. This can happen for
# instance when calling BLAS inside a prange. Setting the following environment
# variable allows multiple OpenMP libraries to be loaded. It should not degrade
# performances since we manually take care of potential over-subscription
# performance issues, in sections of the code where nested OpenMP loops can
# happen, by dynamically reconfiguring the inner OpenMP runtime to temporarily
# disable it while under the scope of the outer OpenMP parallel section.
os.environ.setdefault("KMP_DUPLICATE_LIB_OK", "True")
# Hard limit for Windows library paths resolved through GetModuleFileNameExW.
# Kept below unlimited for security reasons; see CHANGES.md and PR #189.
_WINDOWS_MAX_LIBRARY_PATH_LENGTH = 2600
# Structure to cast the info on dynamically loaded library. See
# https://linux.die.net/man/3/dl_iterate_phdr for more details.
_SYSTEM_UINT = ctypes.c_uint64 if sys.maxsize > 2**32 else ctypes.c_uint32
_SYSTEM_UINT_HALF = ctypes.c_uint32 if sys.maxsize > 2**32 else ctypes.c_uint16
class _dl_phdr_info(ctypes.Structure):
_fields_ = [
("dlpi_addr", _SYSTEM_UINT), # Base address of object
("dlpi_name", ctypes.c_char_p), # path to the library
("dlpi_phdr", ctypes.c_void_p), # pointer on dlpi_headers
("dlpi_phnum", _SYSTEM_UINT_HALF), # number of elements in dlpi_phdr
]
# The RTLD_NOLOAD flag for loading shared libraries is not defined on Windows.
try:
_RTLD_NOLOAD = os.RTLD_NOLOAD
except AttributeError:
_RTLD_NOLOAD = ctypes.DEFAULT_MODE
# What scope does the API affect?
_ThreadLimitScope = Literal[
# Using the API sets a limit only on the current thread.
"current_thread",
# Using the API sets a limit for every thread in the process; whether or
# not it's a shared process-wide pool or per-thread limit needs to be
# determined some other way.
"process",
# Something else, unexpected; perhaps another variant, perhaps information
# can't be determined under the current configuration.
"unknown",
]
def _determine_thread_limit_scope(
get_n_threads: Callable[[], int], set_n_threads: Callable[[int], None]
) -> _ThreadLimitScope:
"""
Run some experiments to determine the scope of the given get/set API.
This function might not work if you only have one core available.
This function might not work if you set a limit on a library with an
environment variable.
The function works by changing the number of threads in loaded controllers,
which can be a process-wide change. As such, it is not always thread-safe.
An attempt will be made to restore all settings to their previous state,
but the result may be subtly different, e.g. if "unset" has different
semantics than "set to the default returned value".
"""
previous = get_n_threads()
# Some plausible constraints we need to keep in mind:
#
# 1. The API might not allow setting more than the number of (available, or
# physical) cores.
# 2. Some hard limit on number of threads.
try:
# Choose a desired number of threads that is different than the current
# number, and hopefully achievable under the current configuration:
if previous < 2:
expected = 2
else:
# It's 2 or more, so shrink it slightly:
expected = previous - 1
thread_result = []
def get_and_set() -> None:
set_n_threads(expected)
thread_result.append(get_n_threads())
thread = Thread(target=get_and_set)
thread.start()
thread.join()
# First, getting in the same thread as a set should always give same
# number, if it's a number in a reasonable range. A possible exception
# fo failing this is if the number of thread is limited by available
# CPU, and only one CPU is available. In that case we can't empirically
# determine how the API works. We try to not reach that point here, but
# you can imagine a thread pool implementation that is aware of
# cgroups, in which case a Docker container limited to one core will
# pass the safety check at the start of the function. Perhaps
# cpu_count() from loky should be moved into this package...
if thread_result != [expected]:
return "unknown"
# Now, check this thread:
if get_n_threads() == expected:
# Setting modified this thread's results too:
return "process"
elif get_n_threads() == previous:
# Setting modified the other thread, but not this one:
return "current_thread"
else:
# No idea what's going on:
return "unknown"
finally:
set_n_threads(previous)
class LibController(ABC):
"""Abstract base class for the individual library controllers
A library controller must expose the following class attributes:
- user_api : str
Usually the name of the library or generic specification the library
implements, e.g. "blas" is a specification with different implementations.
- internal_api : str
Usually the name of the library or concrete implementation of some
specification, e.g. "openblas" is an implementation of the "blas"
specification.
- filename_prefixes : tuple
Possible prefixes of the shared library's filename that allow to
identify the library. e.g. "libopenblas" for libopenblas.so.
and implement the following methods: `get_num_threads`, `set_num_threads` and
`get_version`.
Threadpoolctl loops through all the loaded shared libraries and tries to match
the filename of each library with the `filename_prefixes`. If a match is found, a
controller is instantiated and a handler to the library is stored in the `dynlib`
attribute as a `ctypes.CDLL` object. It can be used to access the necessary symbols
of the shared library to implement the above methods.
The following information will be exposed in the info dictionary:
- user_api : standardized API, if any, or a copy of internal_api.
- internal_api : implementation-specific API.
- num_threads : the current thread limit.
- prefix : prefix of the shared library's filename.
- filepath : path to the loaded shared library.
- version : version of the library (if available).
In addition, each library controller may expose internal API specific entries. They
must be set as attributes in the `set_additional_attributes` method.
"""
@final
def __init__(self, *, filepath=None, prefix=None, parent=None):
"""This is not meant to be overriden by subclasses."""
self.parent = parent
self.prefix = prefix
self.filepath = filepath
self.dynlib = ctypes.CDLL(filepath, mode=_RTLD_NOLOAD)
self._symbol_prefix, self._symbol_suffix = self._find_affixes()
self.version = self.get_version()
self.set_additional_attributes()
def info(self, debugging_info: bool = False):
"""Return relevant info wrapped in a dict.
Parameters
----------
debugging_info : bool
Include extra fields which require more intrusive actions to
obtain, and which can't always reliably be determined.
"""
hidden_attrs = ("dynlib", "parent", "_symbol_prefix", "_symbol_suffix")
result = {
"user_api": self.user_api,
"internal_api": self.internal_api,
"num_threads": self.num_threads,
**{k: v for k, v in vars(self).items() if k not in hidden_attrs},
}
if debugging_info:
result["thread_limit_scope"] = _determine_thread_limit_scope(
self.get_num_threads, self.set_num_threads
)
return result
def set_additional_attributes(self):
"""Set additional attributes meant to be exposed in the info dict"""
@property
def num_threads(self):
"""Exposes the current thread limit as a dynamic property
This is not meant to be used or overriden by subclasses.
"""
return self.get_num_threads()
@abstractmethod
def get_num_threads(self):
"""Return the maximum number of threads available to use"""
@abstractmethod
def set_num_threads(self, num_threads):
"""Set the maximum number of threads to use
When possible, implementations of this method should choose a thread
limiting API that only applies to the current thread.
"""
@abstractmethod
def get_version(self):
"""Return the version of the shared library"""
def _find_affixes(self):
"""Return the affixes for the symbols of the shared library"""
return "", ""
def _get_symbol(self, name):
"""Return the symbol of the shared library accounding for the affixes"""
return getattr(
self.dynlib, f"{self._symbol_prefix}{name}{self._symbol_suffix}", None
)
class OpenBLASController(LibController):
"""Controller class for OpenBLAS"""
user_api = "blas"
internal_api = "openblas"
filename_prefixes = (
"libopenblas",
"libblas", # legacy conda-forge Windows shim, see _make_controller_from_path
"libscipy_openblas",
"openblas", # Windows conda package use openblas.dll
)
_symbol_prefixes = ("", "scipy_")
_symbol_suffixes = ("", "64_", "_64")
# All variations of "openblas_get_num_threads", accounting for the affixes
check_symbols = tuple(
f"{prefix}openblas_get_num_threads{suffix}"
for prefix, suffix in itertools.product(_symbol_prefixes, _symbol_suffixes)
)
def _find_affixes(self):
for prefix, suffix in itertools.product(
self._symbol_prefixes, self._symbol_suffixes
):
if hasattr(self.dynlib, f"{prefix}openblas_get_num_threads{suffix}"):
return prefix, suffix
def set_additional_attributes(self):
self.threading_layer = self._get_threading_layer()
self.architecture = self._get_architecture()
def get_num_threads(self):
# See discussion in set_num_threads for details:
if self.threading_layer == "openmp":
symbol = "omp_get_max_threads"
else:
symbol = "openblas_get_num_threads"
get_num_threads_func = self._get_symbol(symbol)
if get_num_threads_func is not None:
return get_num_threads_func()
return None
def set_num_threads(self, num_threads):
# The OpenBLAS limiting API is process-wide, and we want current thread
# limit if possible. When OpenBLAS is backed by OpenMP, using the
# OpenMP API allows for current thread limiting when OpenMP has that
# behavior. That is the case for libgomp, libomp, and libiomp, what you
# would find on Linux or macOS.
#
# On Windows the Visual C++ OpenMP API is process-wide, unfortunately,
# though this may be fixed if the /openmp:llvm flag is used:
# https://github.com/joblib/threadpoolctl/issues/230
#
# Also worth knowing that before v0.3.34, the OpenBLAS limiting API is
# broken when using OpenMP threading:
# https://github.com/OpenMathLib/OpenBLAS/issues/5806
if self.threading_layer == "openmp":
symbol = "omp_set_num_threads"
else:
symbol = "openblas_set_num_threads"
set_num_threads_func = self._get_symbol(symbol)
if set_num_threads_func is not None:
return set_num_threads_func(num_threads)
return None
def get_version(self):
# None means OpenBLAS is not loaded or version < 0.3.4, since OpenBLAS
# did not expose its version before that.
get_version_func = self._get_symbol("openblas_get_config")
if get_version_func is not None:
get_version_func.restype = ctypes.c_char_p
config = get_version_func().split()
if config[0] == b"OpenBLAS":
return config[1].decode("utf-8")
return None
return None
def _get_threading_layer(self):
"""Return the threading layer of OpenBLAS"""
get_threading_layer_func = self._get_symbol("openblas_get_parallel")
if get_threading_layer_func is not None:
threading_layer = get_threading_layer_func()
if threading_layer == 2:
return "openmp"
elif threading_layer == 1:
return "pthreads"
return "disabled"
return "unknown"
def _get_architecture(self):
"""Return the architecture detected by OpenBLAS"""
get_architecture_func = self._get_symbol("openblas_get_corename")
if get_architecture_func is not None:
get_architecture_func.restype = ctypes.c_char_p
return get_architecture_func().decode("utf-8")
return None
class BLISController(LibController):
"""Controller class for BLIS"""
user_api = "blas"
internal_api = "blis"
filename_prefixes = (
"libblis",
"libblas",
) # libblas: legacy conda-forge Windows shim
check_symbols = (
"bli_thread_get_num_threads",
"bli_thread_set_num_threads",
"bli_info_get_version_str",
"bli_info_get_enable_openmp",
"bli_info_get_enable_pthreads",
"bli_arch_query_id",
"bli_arch_string",
)
def set_additional_attributes(self):
self.threading_layer = self._get_threading_layer()
self.architecture = self._get_architecture()
def get_num_threads(self):
get_func = getattr(self.dynlib, "bli_thread_get_num_threads", lambda: None)
num_threads = get_func()
# by default BLIS is single-threaded and get_num_threads
# returns -1. We map it to 1 for consistency with other libraries.
return 1 if num_threads == -1 else num_threads
def set_num_threads(self, num_threads):
set_func = getattr(
self.dynlib, "bli_thread_set_num_threads", lambda num_threads: None
)
return set_func(num_threads)
def get_version(self):
get_version_ = getattr(self.dynlib, "bli_info_get_version_str", None)
if get_version_ is None:
return None
get_version_.restype = ctypes.c_char_p
return get_version_().decode("utf-8")
def _get_threading_layer(self):
"""Return the threading layer of BLIS"""
if getattr(self.dynlib, "bli_info_get_enable_openmp", lambda: False)():
return "openmp"
elif getattr(self.dynlib, "bli_info_get_enable_pthreads", lambda: False)():
return "pthreads"
return "disabled"
def _get_architecture(self):
"""Return the architecture detected by BLIS"""
bli_arch_query_id = getattr(self.dynlib, "bli_arch_query_id", None)
bli_arch_string = getattr(self.dynlib, "bli_arch_string", None)
if bli_arch_query_id is None or bli_arch_string is None:
return None
# the true restype should be BLIS' arch_t (enum) but int should work
# for us:
bli_arch_query_id.restype = ctypes.c_int
bli_arch_string.restype = ctypes.c_char_p
return bli_arch_string(bli_arch_query_id()).decode("utf-8")
class FlexiBLASController(LibController):
"""Controller class for FlexiBLAS"""
user_api = "blas"
internal_api = "flexiblas"
filename_prefixes = ("libflexiblas",)
check_symbols = (
"flexiblas_get_num_threads",
"flexiblas_set_num_threads",
"flexiblas_get_version",
"flexiblas_list",
"flexiblas_list_loaded",
"flexiblas_current_backend",
)
@property
def loaded_backends(self):
return self._get_backend_list(loaded=True)
@property
def current_backend(self):
return self._get_current_backend()
def info(self, debugging_info: bool = False):
"""Return relevant info wrapped in a dict"""
# We override the info method because the loaded and current backends
# are dynamic properties
exposed_attrs = super().info(debugging_info=debugging_info)
exposed_attrs["loaded_backends"] = self.loaded_backends
exposed_attrs["current_backend"] = self.current_backend
return exposed_attrs
def set_additional_attributes(self):
self.available_backends = self._get_backend_list(loaded=False)
def get_num_threads(self):
get_func = getattr(self.dynlib, "flexiblas_get_num_threads", lambda: None)
num_threads = get_func()
# by default BLIS is single-threaded and get_num_threads
# returns -1. We map it to 1 for consistency with other libraries.
return 1 if num_threads == -1 else num_threads
def set_num_threads(self, num_threads):
set_func = getattr(
self.dynlib, "flexiblas_set_num_threads", lambda num_threads: None
)
return set_func(num_threads)
def get_version(self):
get_version_ = getattr(self.dynlib, "flexiblas_get_version", None)
if get_version_ is None:
return None
major = ctypes.c_int()
minor = ctypes.c_int()
patch = ctypes.c_int()
get_version_(ctypes.byref(major), ctypes.byref(minor), ctypes.byref(patch))
return f"{major.value}.{minor.value}.{patch.value}"
def _get_backend_list(self, loaded=False):
"""Return the list of available backends for FlexiBLAS.
If loaded is False, return the list of available backends from the FlexiBLAS
configuration. If loaded is True, return the list of actually loaded backends.
"""
func_name = f"flexiblas_list{'_loaded' if loaded else ''}"
get_backend_list_ = getattr(self.dynlib, func_name, None)
if get_backend_list_ is None:
return None
n_backends = get_backend_list_(None, 0, 0)
backends = []
for i in range(n_backends):
backend_name = ctypes.create_string_buffer(1024)
get_backend_list_(backend_name, 1024, i)
if backend_name.value.decode("utf-8") != "__FALLBACK__":
# We don't know when to expect __FALLBACK__ but it is not a real
# backend and does not show up when running flexiblas list.
backends.append(backend_name.value.decode("utf-8"))
return backends
def _get_current_backend(self):
"""Return the backend of FlexiBLAS"""
get_backend_ = getattr(self.dynlib, "flexiblas_current_backend", None)
if get_backend_ is None:
return None
backend = ctypes.create_string_buffer(1024)
get_backend_(backend, ctypes.sizeof(backend))
return backend.value.decode("utf-8")
def switch_backend(self, backend):
"""Switch the backend of FlexiBLAS
Parameters
----------
backend : str
The name or the path to the shared library of the backend to switch to. If
the backend is not already loaded, it will be loaded first.
"""
if backend not in self.loaded_backends:
if backend in self.available_backends:
load_func = getattr(self.dynlib, "flexiblas_load_backend", lambda _: -1)
else: # assume backend is a path to a shared library
load_func = getattr(
self.dynlib, "flexiblas_load_backend_library", lambda _: -1
)
res = load_func(str(backend).encode("utf-8"))
if res == -1:
raise RuntimeError(
f"Failed to load backend {backend!r}. It must either be the name of"
" a backend available in the FlexiBLAS configuration "
f"{self.available_backends} or the path to a valid shared library."
)
# Trigger a new search of loaded shared libraries since loading a new
# backend caused a dlopen.
self.parent._load_libraries()
switch_func = getattr(self.dynlib, "flexiblas_switch", lambda _: -1)
idx = self.loaded_backends.index(backend)
res = switch_func(idx)
if res == -1:
raise RuntimeError(f"Failed to switch to backend {backend!r}.")
class MKLController(LibController):
"""Controller class for MKL"""
user_api = "blas"
internal_api = "mkl"
filename_prefixes = (
"libmkl_rt",
"mkl_rt",
"libblas", # legacy conda-forge Windows shim, see _make_controller_from_path
)
check_symbols = (
"MKL_Get_Max_Threads",
"MKL_Set_Num_Threads_Local",
"MKL_Get_Version_String",
"MKL_Set_Threading_Layer",
)
def set_additional_attributes(self):
self.threading_layer = self._get_threading_layer()
def get_num_threads(self):
get_func = getattr(self.dynlib, "MKL_Get_Max_Threads", lambda: None)
return get_func()
def set_num_threads(self, num_threads):
set_func = getattr(
self.dynlib, "MKL_Set_Num_Threads_Local", lambda num_threads: None
)
return set_func(num_threads)
def get_version(self):
if not hasattr(self.dynlib, "MKL_Get_Version_String"):
return None
res = ctypes.create_string_buffer(200)
self.dynlib.MKL_Get_Version_String(res, 200)
version = res.value.decode("utf-8")
group = re.search(r"Version ([^ ]+) ", version)
if group is not None:
version = group.groups()[0]
return version.strip()
def _get_threading_layer(self):
"""Return the threading layer of MKL"""
# The function mkl_set_threading_layer returns the current threading
# layer. Calling it with an invalid threading layer allows us to safely
# get the threading layer
set_threading_layer = getattr(
self.dynlib, "MKL_Set_Threading_Layer", lambda layer: -1
)
layer_map = {
0: "intel",
1: "sequential",
2: "pgi",
3: "gnu",
4: "tbb",
-1: "not specified",
}
return layer_map[set_threading_layer(-1)]
class OpenMPController(LibController):
"""Controller class for OpenMP"""
user_api = "openmp"
internal_api = "openmp"
filename_prefixes = ("libiomp", "libgomp", "libomp", "vcomp")
check_symbols = (
"omp_get_max_threads",
"omp_get_num_threads",
)
def get_num_threads(self):
get_func = getattr(self.dynlib, "omp_get_max_threads", lambda: None)
return get_func()
def set_num_threads(self, num_threads):
set_func = getattr(self.dynlib, "omp_set_num_threads", lambda num_threads: None)
return set_func(num_threads)
def get_version(self):
# There is no way to get the version number programmatically in OpenMP.
return None
# Controllers for the libraries that we'll look for in the loaded libraries.
# Third party libraries can register their own controllers.
_ALL_CONTROLLERS = [
OpenBLASController,
BLISController,
MKLController,
OpenMPController,
FlexiBLASController,
]
# Helpers for the doc and test names
_ALL_USER_APIS = list(set(lib.user_api for lib in _ALL_CONTROLLERS))
_ALL_INTERNAL_APIS = [lib.internal_api for lib in _ALL_CONTROLLERS]
_ALL_PREFIXES = list(
set(prefix for lib in _ALL_CONTROLLERS for prefix in lib.filename_prefixes)
)
_ALL_BLAS_LIBRARIES = [
lib.internal_api for lib in _ALL_CONTROLLERS if lib.user_api == "blas"
]
_ALL_OPENMP_LIBRARIES = OpenMPController.filename_prefixes
def register(controller):
"""Register a new controller"""
_ALL_CONTROLLERS.append(controller)
_ALL_USER_APIS.append(controller.user_api)
_ALL_INTERNAL_APIS.append(controller.internal_api)
_ALL_PREFIXES.extend(controller.filename_prefixes)
def _format_docstring(*args, **kwargs):
def decorator(o):
if o.__doc__ is not None:
o.__doc__ = o.__doc__.format(*args, **kwargs)
return o
return decorator
@lru_cache(maxsize=10000)
def _realpath(filepath):
"""Small caching wrapper around os.path.realpath to limit system calls"""
return os.path.realpath(filepath)
@_format_docstring(USER_APIS=list(_ALL_USER_APIS), INTERNAL_APIS=_ALL_INTERNAL_APIS)
def threadpool_info(debugging_info: bool = False):
"""Return the maximal number of threads for each detected library.
Return a list with all the supported libraries that have been found. Each
library is represented by a dict with the following information:
- "user_api" : user API. Possible values are {USER_APIS}.
- "internal_api": internal API. Possible values are {INTERNAL_APIS}.
- "prefix" : filename prefix of the specific implementation.
- "filepath": path to the loaded library.
- "version": version of the library (if available).
- "num_threads": the current thread limit.
In addition, each library may contain internal_api specific entries.
Parameters
----------
debugging_info : bool
Include extra fields which require more intrusive actions to obtain,
and which can't always reliably be determined.
- "thread_limit_scope": When setting the number of threads, what is
affected. Possible values are "process", "current_thread", "unknown".
"""
return ThreadpoolController().info(debugging_info)
class _ThreadpoolLimiter:
"""The guts of ThreadpoolController.limit
Refer to the docstring of ThreadpoolController.limit for more details.
It will only act on the library controllers held by the provided `controller`.
Using the default constructor sets the limits right away such that it can be used as
a callable. Setting the limits can be delayed by using the `wrap` class method such
that it can be used as a decorator.
"""
def __init__(self, controller, *, limits=None, user_api=None):
self._controller = controller
self._limits, self._user_api, self._prefixes = self._check_params(
limits, user_api
)
self._original_info = self._controller.info()
self._set_threadpool_limits()
def __enter__(self):
return self
def __exit__(self, type, value, traceback):
self.restore_original_limits()
@classmethod
def wrap(cls, controller, *, limits=None, user_api=None):
"""Return an instance of this class that can be used as a decorator"""
return _ThreadpoolLimiterDecorator(
controller=controller, limits=limits, user_api=user_api
)
def restore_original_limits(self):
"""Set the limits back to their original values"""
for lib_controller, original_info in zip(
self._controller.lib_controllers, self._original_info
):
lib_controller.set_num_threads(original_info["num_threads"])
# Alias of `restore_original_limits` for backward compatibility
unregister = restore_original_limits
def get_original_num_threads(self):
"""Original num_threads from before calling threadpool_limits
Return a dict `{user_api: num_threads}`.
"""
num_threads = {}
warning_apis = []
for user_api in self._user_api:
limits = [
lib_info["num_threads"]
for lib_info in self._original_info
if lib_info["user_api"] == user_api
]
limits = set(limits)
n_limits = len(limits)
if n_limits == 1:
limit = limits.pop()
elif n_limits == 0:
limit = None
else:
limit = min(limits)
warning_apis.append(user_api)
num_threads[user_api] = limit
if warning_apis:
warnings.warn(
"Multiple values possible for following user apis: "
+ ", ".join(warning_apis)
+ ". Returning the minimum."
)
return num_threads
def _check_params(self, limits, user_api):
"""Suitable values for the _limits, _user_api and _prefixes attributes"""
if isinstance(limits, str) and limits == "sequential_blas_under_openmp":
(
limits,
user_api,
) = self._controller._get_params_for_sequential_blas_under_openmp().values()
if limits is None or isinstance(limits, int):
if user_api is None:
user_api = _ALL_USER_APIS
elif user_api in _ALL_USER_APIS:
user_api = [user_api]
else:
raise ValueError(
f"user_api must be either in {_ALL_USER_APIS} or None. Got "
f"{user_api} instead."
)
if limits is not None:
limits = {api: limits for api in user_api}
prefixes = []
else:
if isinstance(limits, list):
# This should be a list of dicts of library info, for
# compatibility with the result from threadpool_info.
limits = {
lib_info["prefix"]: lib_info["num_threads"] for lib_info in limits
}
elif isinstance(limits, ThreadpoolController):
# To set the limits from the library controllers of a
# ThreadpoolController object.
limits = {
lib_controller.prefix: lib_controller.num_threads
for lib_controller in limits.lib_controllers
}
if not isinstance(limits, dict):
raise TypeError(
"limits must either be an int, a list, a dict, or "
f"'sequential_blas_under_openmp'. Got {type(limits)} instead"
)
# With a dictionary, can set both specific limit for given
# libraries and global limit for user_api. Fetch each separately.
prefixes = [prefix for prefix in limits if prefix in _ALL_PREFIXES]
user_api = [api for api in limits if api in _ALL_USER_APIS]
return limits, user_api, prefixes
def _set_threadpool_limits(self):
"""Change the maximal number of threads in selected thread pools.
Return a list with all the supported libraries that have been found
matching `self._prefixes` and `self._user_api`.
"""
if self._limits is None:
return
for lib_controller in self._controller.lib_controllers:
# self._limits is a dict {key: num_threads} where key is either
# a prefix or a user_api. If a library matches both, the limit
# corresponding to the prefix is chosen.
if lib_controller.prefix in self._limits:
num_threads = self._limits[lib_controller.prefix]
elif lib_controller.user_api in self._limits:
num_threads = self._limits[lib_controller.user_api]
else:
continue
if num_threads is not None:
lib_controller.set_num_threads(num_threads)
class _ThreadpoolLimiterDecorator(_ThreadpoolLimiter, ContextDecorator):
"""Same as _ThreadpoolLimiter but to be used as a decorator"""
def __init__(self, controller, *, limits=None, user_api=None):
self._limits, self._user_api, self._prefixes = self._check_params(
limits, user_api
)
self._controller = controller
def __enter__(self):
# we need to set the limits here and not in the __init__ because we want the
# limits to be set when calling the decorated function, not when creating the
# decorator.
self._original_info = self._controller.info()
self._set_threadpool_limits()
return self
@_format_docstring(
USER_APIS=", ".join(f'"{api}"' for api in _ALL_USER_APIS),
BLAS_LIBS=", ".join(_ALL_BLAS_LIBRARIES),
OPENMP_LIBS=", ".join(_ALL_OPENMP_LIBRARIES),
)
class threadpool_limits(_ThreadpoolLimiter):
"""Change the maximal number of threads that can be used in thread pools.
This object can be used either as a callable (the construction of this object
limits the number of threads), as a context manager in a `with` block to
automatically restore the original state of the controlled libraries when exiting
the block, or as a decorator through its `wrap` method.
Set the maximal number of threads that can be used in thread pools used in
the supported libraries to `limit`. This function works for libraries that
are already loaded in the interpreter and can be changed dynamically.
This effect is global and impacts the whole Python process. There is no thread level
isolation as these libraries do not offer thread-local APIs to configure the number
of threads to use in nested parallel calls.
Parameters
----------
limits : int, dict, 'sequential_blas_under_openmp' or None (default=None)
The maximal number of threads that can be used in thread pools
- If int, sets the maximum number of threads to `limits` for each
library selected by `user_api`.
- If it is a dictionary `{{key: max_threads}}`, this function sets a
custom maximum number of threads for each `key` which can be either a
`user_api` or a `prefix` for a specific library.
- If 'sequential_blas_under_openmp', it will chose the appropriate `limits`
and `user_api` parameters for the specific use case of sequential BLAS
calls within an OpenMP parallel region. The `user_api` parameter is
ignored.
- If None, this function does not do anything.
user_api : {USER_APIS} or None (default=None)
APIs of libraries to limit. Used only if `limits` is an int.
- If "blas", it will only limit BLAS supported libraries ({BLAS_LIBS}).
- If "openmp", it will only limit OpenMP supported libraries
({OPENMP_LIBS}). Note that it can affect the number of threads used
by the BLAS libraries if they rely on OpenMP.
- If None, this function will apply to all supported libraries.
"""
def __init__(self, limits=None, user_api=None):
super().__init__(ThreadpoolController(), limits=limits, user_api=user_api)
@classmethod
def wrap(cls, limits=None, user_api=None):
return super().wrap(ThreadpoolController(), limits=limits, user_api=user_api)
class ThreadpoolController:
"""Collection of LibController objects for all loaded supported libraries
Attributes
----------
lib_controllers : list of `LibController` objects
The list of library controllers of all loaded supported libraries.
"""
# Cache for libc under POSIX and a few system libraries under Windows.
# We use a class level cache instead of an instance level cache because
# it's very unlikely that a shared library will be unloaded and reloaded
# during the lifetime of a program.
_system_libraries = dict()
def __init__(self):
self.lib_controllers = []
self._load_libraries()
self._warn_if_incompatible_openmp()
@classmethod
def _from_controllers(cls, lib_controllers):
new_controller = cls.__new__(cls)
new_controller.lib_controllers = lib_controllers
return new_controller
def info(self, debugging_info: bool = False):
"""Return lib_controllers info as a list of dicts.
Parameters
----------
debugging_info : bool
Include extra fields which require more intrusive actions to
obtain, and which can't always reliably be determined.
"""
return [
lib_controller.info(debugging_info=debugging_info)
for lib_controller in self.lib_controllers
]
def select(self, **kwargs):
"""Return a ThreadpoolController containing a subset of its current
library controllers
It will select all libraries matching at least one pair (key, value) from kwargs
where key is an entry of the library info dict (like "user_api", "internal_api",
"prefix", ...) and value is the value or a list of acceptable values for that
entry.
For instance, `ThreadpoolController().select(internal_api=["blis", "openblas"])`
will select all library controllers whose internal_api is either "blis" or
"openblas".
"""
for key, vals in kwargs.items():
kwargs[key] = [vals] if not isinstance(vals, list) else vals
lib_controllers = [
lib_controller
for lib_controller in self.lib_controllers
if any(
getattr(lib_controller, key, None) in vals
for key, vals in kwargs.items()
)
]
return ThreadpoolController._from_controllers(lib_controllers)
def _get_params_for_sequential_blas_under_openmp(self):
"""Return appropriate params to use for a sequential BLAS call in an OpenMP loop
This function takes into account the unexpected behavior of OpenBLAS with the
OpenMP threading layer.
"""
if self.select(
internal_api="openblas", threading_layer="openmp"
).lib_controllers:
return {"limits": None, "user_api": None}
return {"limits": 1, "user_api": "blas"}
@_format_docstring(
USER_APIS=", ".join('"{}"'.format(api) for api in _ALL_USER_APIS),
BLAS_LIBS=", ".join(_ALL_BLAS_LIBRARIES),
OPENMP_LIBS=", ".join(_ALL_OPENMP_LIBRARIES),
)
def limit(self, *, limits=None, user_api=None):
"""Change the maximal number of threads that can be used in thread pools.
This function returns an object that can be used either as a callable (the
construction of this object limits the number of threads) or as a context
manager, in a `with` block to automatically restore the original state of the
controlled libraries when exiting the block.
Set the maximal number of threads that can be used in thread pools used in
the supported libraries to `limits`. This function works for libraries that
are already loaded in the interpreter and can be changed dynamically.
This effect is global and impacts the whole Python process. There is no thread
level isolation as these libraries do not offer thread-local APIs to configure
the number of threads to use in nested parallel calls.
Parameters
----------
limits : int, dict, 'sequential_blas_under_openmp' or None (default=None)
The maximal number of threads that can be used in thread pools
- If int, sets the maximum number of threads to `limits` for each
library selected by `user_api`.
- If it is a dictionary `{{key: max_threads}}`, this function sets a
custom maximum number of threads for each `key` which can be either a
`user_api` or a `prefix` for a specific library.
- If 'sequential_blas_under_openmp', it will chose the appropriate `limits`
and `user_api` parameters for the specific use case of sequential BLAS
calls within an OpenMP parallel region. The `user_api` parameter is
ignored.
- If None, this function does not do anything.
user_api : {USER_APIS} or None (default=None)
APIs of libraries to limit. Used only if `limits` is an int.
- If "blas", it will only limit BLAS supported libraries ({BLAS_LIBS}).
- If "openmp", it will only limit OpenMP supported libraries
({OPENMP_LIBS}). Note that it can affect the number of threads used
by the BLAS libraries if they rely on OpenMP.
- If None, this function will apply to all supported libraries.
"""
return _ThreadpoolLimiter(self, limits=limits, user_api=user_api)
@_format_docstring(
USER_APIS=", ".join('"{}"'.format(api) for api in _ALL_USER_APIS),
BLAS_LIBS=", ".join(_ALL_BLAS_LIBRARIES),
OPENMP_LIBS=", ".join(_ALL_OPENMP_LIBRARIES),
)
def wrap(self, *, limits=None, user_api=None):
"""Change the maximal number of threads that can be used in thread pools.
This function returns an object that can be used as a decorator.
Set the maximal number of threads that can be used in thread pools used in
the supported libraries to `limits`. This function works for libraries that
are already loaded in the interpreter and can be changed dynamically.
Parameters
----------
limits : int, dict or None (default=None)
The maximal number of threads that can be used in thread pools
- If int, sets the maximum number of threads to `limits` for each
library selected by `user_api`.
- If it is a dictionary `{{key: max_threads}}`, this function sets a
custom maximum number of threads for each `key` which can be either a
`user_api` or a `prefix` for a specific library.
- If None, this function does not do anything.
user_api : {USER_APIS} or None (default=None)
APIs of libraries to limit. Used only if `limits` is an int.
- If "blas", it will only limit BLAS supported libraries ({BLAS_LIBS}).
- If "openmp", it will only limit OpenMP supported libraries
({OPENMP_LIBS}). Note that it can affect the number of threads used
by the BLAS libraries if they rely on OpenMP.
- If None, this function will apply to all supported libraries.
"""
return _ThreadpoolLimiter.wrap(self, limits=limits, user_api=user_api)
def __len__(self):
return len(self.lib_controllers)
def _load_libraries(self):
"""Loop through loaded shared libraries and store the supported ones"""
# ctypes.util is not imported on Linux: on CPython 3.14 it allocates a
# process-lifetime CFUNCTYPE callback that is not fork-safe with some
# libffi builds (#225). dllist also uses dl_iterate_phdr internally
# (#239), which we already avoid on Linux via /proc/self/maps.
dllist = None
if sys.platform not in ("linux", "emscripten"):
try:
from ctypes.util import dllist
except ImportError:
# CPython before 3.14 does not provide dll inspection.
dllist = None
if sys.platform == "linux" and os.path.exists("/proc/self/maps"):
# On glibc, dl_iterate_phdr has an internal lock, and that plus
# calling back into Python and the need to (re)acquire the GIL
# results in deadlocks. To avoid that, use a Linux-specific
# mechanism that doesn't have these issues; since it's Linux, musl
# works fine too.
self._find_libraries_with_linux()
elif dllist is not None:
# On Python 3.14+, this functionality is built-in. Once Python 3.13
# is no longer supported by threadpoolctl, most of the equivalent
# threadpoolctl implementations can be removed.
self._find_libraries_with_python(dllist)
elif sys.platform == "darwin":
self._find_libraries_with_dyld()
elif sys.platform == "win32":
self._find_libraries_on_windows()
elif "pyodide" in sys.modules:
self._find_libraries_pyodide()
else:
# Non-Linux Unix platforms.
self._find_libraries_with_dl_iterate_phdr()
def _find_libraries_with_linux(self):
"""Loop through loaded libraries and return binders on supported ones
Uses a Linux-specific mechanism:
https://man7.org/linux/man-pages/man5/proc_pid_maps.5.html
"""
with open("/proc/self/maps") as f:
maps = f.read()
filepaths = set()
for line in maps.splitlines():
start_index = line.find("/")
if start_index == -1 or ".so" not in line:
continue
filepath = line[start_index:]
if os.path.exists(filepath):
filepaths.add(filepath)
for filepath in filepaths:
self._make_controller_from_path(filepath)
def _find_libraries_with_python(self, dllist):
"""Loop through loaded libraries and return binders on supported ones
Uses Python's built-in support for this functionality.
"""
try:
filepaths = dllist()
except OSError as exc:
# No Toolhelp fallback: if this fires in the wild, collect a
# minimal reproducer and report it upstream so CPython's dllist
# can be hardened against concurrent module list changes.
warnings.warn(
"ctypes.util.dllist failed to list loaded libraries "
f"({exc!r}). Native thread pools will not be inspected for "
"this ThreadpoolController. Please report a minimal "
"reproducer at https://github.com/joblib/threadpoolctl/issues "
"so it can be investigated and possibly be reported upstream to "
"CPython.",
RuntimeWarning,
)
return
if filepaths and filepaths[0] in ("", sys.executable):
filepaths = filepaths[1:]
for filepath in filepaths:
self._make_controller_from_path(filepath)
def _find_libraries_with_dl_iterate_phdr(self):
"""Loop through loaded libraries and return binders on supported ones
This function is expected to work on POSIX system only.
This code is adapted from code by Intel developer @anton-malakhov
available at https://github.com/IntelPython/smp
Copyright (c) 2017, Intel Corporation published under the BSD 3-Clause
license
"""
libc = self._get_libc()
if not hasattr(libc, "dl_iterate_phdr"): # pragma: no cover
warnings.warn(
"Could not find dl_iterate_phdr in the C standard library.",
RuntimeWarning,
)
return []
filepaths = []
# Callback function for `dl_iterate_phdr` which is called for every
# library loaded in the current process until it returns 1. To minimize
# the potential for deadlocks (see #228), this code should not do
# anything that might result in reentrancy into the library, the dl
# system, or anything else.
def match_library_callback(info, size, data):
# Get the path of the current library
filepath = info.contents.dlpi_name
if filepath:
filepaths.append(filepath)
return 0
c_func_signature = ctypes.CFUNCTYPE(
ctypes.c_int, # Return type
ctypes.POINTER(_dl_phdr_info),
ctypes.c_size_t,
ctypes.c_char_p,
)
c_match_library_callback = c_func_signature(match_library_callback)
data = ctypes.c_char_p(b"")
libc.dl_iterate_phdr(c_match_library_callback, data)
# Now that a list of filepaths is available, load the respective
# libraries:
for filepath in filepaths:
# Store the library controller if it is supported and selected
self._make_controller_from_path(filepath.decode("utf-8"))
def _find_libraries_with_dyld(self):
"""Loop through loaded libraries and return binders on supported ones
This function is expected to work on OSX system only
"""
libc = self._get_libc()
if not hasattr(libc, "_dyld_image_count"): # pragma: no cover
warnings.warn(
"Could not find _dyld_image_count in the C standard library.",
RuntimeWarning,
)
return []
n_dyld = libc._dyld_image_count()
libc._dyld_get_image_name.restype = ctypes.c_char_p
for i in range(n_dyld):
filepath = ctypes.string_at(libc._dyld_get_image_name(i))
filepath = filepath.decode("utf-8")
# Store the library controller if it is supported and selected
self._make_controller_from_path(filepath)
def _find_libraries_on_windows(self):
"""Loop through loaded libraries and return binders on supported ones
This function is expected to work on windows system only.
Used when ``ctypes.util.dllist`` is unavailable (Python < 3.14).
Module discovery uses a snapshot-first strategy:
``CreateToolhelp32Snapshot`` provides an atomic list of loaded
modules, which is more robust than ``EnumProcessModulesEx`` under
concurrent DLL load/unload. Paths that fit in
``MODULEENTRY32W.szExePath`` (shorter than ``MAX_PATH``) are used as-is.
Truncated or empty snapshot paths are resolved with
``GetModuleFileNameW`` and, when needed, ``GetModuleFileNameExW`` with a
larger buffer. If snapshot creation fails, enumeration falls back to
``EnumProcessModulesEx``.
"""
from ctypes.wintypes import MAX_PATH
ps_api = self._get_windll("Psapi")
kernel_32 = self._get_windll("kernel32")
self._setup_windows_module_apis(ps_api, kernel_32)
h_process = kernel_32.GetCurrentProcess()
# Allocate a buffer for long path names; see _WINDOWS_MAX_LIBRARY_PATH_LENGTH.
max_path = _WINDOWS_MAX_LIBRARY_PATH_LENGTH
path_buf = ctypes.create_unicode_buffer(max_path)
try:
modules = self._snapshot_loaded_modules(kernel_32)
except OSError:
modules = None
if modules is not None:
for h_module, snapshot_path in modules:
if snapshot_path and len(snapshot_path) < MAX_PATH - 1:
filepath = snapshot_path
else:
filepath = self._resolve_module_filepath(
ps_api,
kernel_32,
h_process,
h_module,
max_path=max_path,
path_buf=path_buf,
)
if filepath is not None:
self._make_controller_from_path(filepath)
else:
self._find_libraries_with_enum_process_modules_ex(
ps_api, kernel_32, h_process, max_path, path_buf
)
@classmethod
def _setup_windows_module_apis(cls, ps_api, kernel_32):
"""Set ctypes signatures for Windows module enumeration APIs."""
from ctypes.wintypes import BOOL, DWORD, HANDLE, HMODULE
if getattr(cls, "_windows_module_apis_configured", False):
return
kernel_32.GetCurrentProcess.restype = HANDLE
kernel_32.CreateToolhelp32Snapshot.argtypes = [DWORD, DWORD]
kernel_32.CreateToolhelp32Snapshot.restype = HANDLE
kernel_32.Module32FirstW.argtypes = [HANDLE, ctypes.c_void_p]
kernel_32.Module32FirstW.restype = BOOL
kernel_32.Module32NextW.argtypes = [HANDLE, ctypes.c_void_p]
kernel_32.Module32NextW.restype = BOOL
kernel_32.GetModuleFileNameW.argtypes = [HMODULE, ctypes.c_wchar_p, DWORD]
kernel_32.GetModuleFileNameW.restype = DWORD
kernel_32.CloseHandle.argtypes = [HANDLE]
kernel_32.CloseHandle.restype = BOOL
ps_api.EnumProcessModulesEx.argtypes = [
HANDLE,
ctypes.POINTER(HMODULE),
DWORD,
ctypes.POINTER(DWORD),
DWORD,
]
ps_api.EnumProcessModulesEx.restype = BOOL
ps_api.GetModuleFileNameExW.argtypes = [
HANDLE,
HMODULE,
ctypes.c_wchar_p,
DWORD,
]
ps_api.GetModuleFileNameExW.restype = DWORD
cls._windows_module_apis_configured = True
def _snapshot_loaded_modules(self, kernel_32):
"""Return loaded modules as (hModule, snapshot_path) pairs.
Uses CreateToolhelp32Snapshot for an atomic view of loaded modules, which
is more robust than EnumProcessModulesEx when DLLs are loaded or unloaded
concurrently. ``ERROR_BAD_LENGTH`` is retried a bounded number of times
(the documented transient race when the module list changes mid-snapshot)
and then raised as ``OSError`` so the caller can fall back.
"""
from ctypes.wintypes import DWORD, HANDLE, MAX_PATH
class MODULEENTRY32W(ctypes.Structure):
_fields_ = [
("dwSize", DWORD),
("th32ModuleID", DWORD),
("th32ProcessID", DWORD),
("GlblcntUsage", DWORD),
("ProccntUsage", DWORD),
("modBaseAddr", ctypes.POINTER(ctypes.c_byte)),
("modBaseSize", DWORD),
("hModule", HANDLE),
("szModule", ctypes.c_wchar * 256),
("szExePath", ctypes.c_wchar * MAX_PATH),
]
TH32CS_SNAPMODULE = 0x00000008
TH32CS_SNAPMODULE32 = 0x00000010
ERROR_BAD_LENGTH = 0x0018
ERROR_NO_MORE_FILES = 0x0012
INVALID_HANDLE_VALUE = HANDLE(-1).value
max_snapshot_retries = 16
for _ in range(max_snapshot_retries):
snap_handle = kernel_32.CreateToolhelp32Snapshot(
TH32CS_SNAPMODULE | TH32CS_SNAPMODULE32, os.getpid()
)
if snap_handle != INVALID_HANDLE_VALUE:
break
err = ctypes.get_last_error()
if err == ERROR_BAD_LENGTH:
continue
msg = ctypes.FormatError(err).strip()
raise OSError(f"CreateToolhelp32Snapshot failed: {msg}")
else:
msg = ctypes.FormatError(ERROR_BAD_LENGTH).strip()
raise OSError(f"CreateToolhelp32Snapshot failed: {msg}")
modules = []
try:
lib_entry = MODULEENTRY32W()
lib_entry.dwSize = ctypes.sizeof(MODULEENTRY32W)
if not kernel_32.Module32FirstW(
snap_handle, ctypes.byref(lib_entry)
): # pragma: no cover
err = ctypes.get_last_error()
msg = ctypes.FormatError(err).strip()
raise OSError(f"Module32FirstW failed: {msg}")
while True:
modules.append((lib_entry.hModule, lib_entry.szExePath))
if not kernel_32.Module32NextW(snap_handle, ctypes.byref(lib_entry)):
err = ctypes.get_last_error()
if err != ERROR_NO_MORE_FILES: # pragma: no cover
msg = ctypes.FormatError(err).strip()
raise OSError(f"Module32NextW failed: {msg}")
break
finally:
kernel_32.CloseHandle(snap_handle)
return modules
def _resolve_module_filepath(
self,
ps_api,
kernel_32,
h_process,
h_module,
max_path,
path_buf,
):
"""Return the full path for a module, or None if it should be skipped."""
from ctypes.wintypes import MAX_PATH
n_size = kernel_32.GetModuleFileNameW(h_module, path_buf, MAX_PATH)
if n_size and n_size < MAX_PATH - 1:
return path_buf.value
n_size = ps_api.GetModuleFileNameExW(h_process, h_module, path_buf, max_path)
if n_size and n_size < max_path - 1:
return path_buf.value
if n_size: # pragma: no cover
filepath = path_buf.value
warnings.warn(
"Could not get the full path of a dynamic library (path too "
"long). This library will be ignored and threadpoolctl might "
"not be able to control or display information about all "
f"loaded libraries. Here's the truncated path: {filepath!r}",
RuntimeWarning,
)
return None
err = ctypes.get_last_error()
msg = ctypes.FormatError(err).strip()
warnings.warn(
"Could not get the path of a dynamic library "
"(GetModuleFileNameW and GetModuleFileNameExW failed). "
"This library will be ignored and threadpoolctl might not be "
"able to control or display information about all loaded "
f"libraries. {msg}",
RuntimeWarning,
)
return None
def _find_libraries_with_enum_process_modules_ex(
self, ps_api, kernel_32, h_process, max_path, path_buf
):
"""Fallback Windows module enumeration using EnumProcessModulesEx.
This code is adapted from code by Philipp Hagemeister @phihag available
at https://stackoverflow.com/questions/17474574
"""
from ctypes.wintypes import DWORD, HMODULE
LIST_LIBRARIES_ALL = 0x03
buf_count = 256
needed = DWORD()
# Grow the buffer until it becomes large enough to hold all the
# module headers
while True:
buf = (HMODULE * buf_count)()
buf_size = ctypes.sizeof(buf)
if not ps_api.EnumProcessModulesEx(
h_process,
buf,
buf_size,
ctypes.byref(needed),
LIST_LIBRARIES_ALL,
):
raise OSError("EnumProcessModulesEx failed")
if buf_size >= needed.value:
break
buf_count = needed.value // (buf_size // buf_count)
count = needed.value // (buf_size // buf_count)
for h_module in map(HMODULE, buf[:count]):
filepath = self._resolve_module_filepath(
ps_api,
kernel_32,
h_process,
h_module,
max_path=max_path,
path_buf=path_buf,
)
if filepath is not None:
self._make_controller_from_path(filepath)
def _find_libraries_pyodide(self):
"""Pyodide specific implementation for finding loaded libraries.
Adapted from suggestion in https://github.com/joblib/threadpoolctl/pull/169#issuecomment-1946696449.
One day, we may have a simpler solution. libc dl_iterate_phdr needs to
be implemented in Emscripten and exposed in Pyodide, see
https://github.com/emscripten-core/emscripten/issues/21354 for more
details.
"""
try:
from pyodide_js._module import LDSO
except ImportError:
warnings.warn(
"Unable to import LDSO from pyodide_js._module. This should never "
"happen."
)
return
if hasattr(LDSO.loadedLibsByName, "as_py_json"): # Pyodide >= 0.29
libs_iter = LDSO.loadedLibsByName.as_py_json()
else:
libs_iter = LDSO.loadedLibsByName.as_object_map() # Pyodide < 0.29
for filepath in libs_iter:
# Some libraries are duplicated by Pyodide and do not exist in the
# filesystem, so we first check for the existence of the file. For
# more details, see
# https://github.com/joblib/threadpoolctl/pull/169#issuecomment-1947946728
if os.path.exists(filepath):
self._make_controller_from_path(filepath)
def _make_controller_from_path(self, filepath):
"""Store a library controller if it is supported and selected"""
# Required to resolve symlinks
filepath = _realpath(filepath)
# `lower` required to take account of OpenMP dll case on Windows
# (vcomp, VCOMP, Vcomp, ...)
filename = os.path.basename(filepath).lower()
# Loop through supported libraries to find if this filename corresponds
# to a supported one.
for controller_class in _ALL_CONTROLLERS:
# check if filename matches a supported prefix
prefix = self._check_prefix(filename, controller_class.filename_prefixes)
# filename does not match any of the prefixes of the candidate
# library. move to next library.
if prefix is None:
continue
# Legacy workaround for BLAS libraries that conda-forge used to expose
# on Windows as libblas.dll, disambiguated via implementation-specific
# symbols. Current conda-forge stacks no longer load libblas.dll (e.g.
# MKL is exposed as mkl_rt.<version>.dll instead), so this path is
# kept for older installs but cannot be exercised in today's CI.
if prefix == "libblas":
if filename.endswith(".dll"):
libblas = ctypes.CDLL(filepath, _RTLD_NOLOAD)
if not any(
hasattr(libblas, func)
for func in controller_class.check_symbols
):
continue
else:
# Non-Windows libblas DSOs (e.g. from openblas) lack the symbols
# needed to instantiate a controller and would duplicate entries.
continue
# filename matches a prefix. Now we check if the library has the symbols we
# are looking for. If none of the symbols exists, it's very likely not the
# expected library (e.g. a library having a common prefix with one of the
# our supported libraries). Otherwise, create and store the library
# controller.
lib_controller = controller_class(
filepath=filepath, prefix=prefix, parent=self
)
if filepath in (lib.filepath for lib in self.lib_controllers):
# We already have a controller for this library.
continue
if not hasattr(controller_class, "check_symbols") or any(
hasattr(lib_controller.dynlib, func)
for func in controller_class.check_symbols
):
self.lib_controllers.append(lib_controller)
def _check_prefix(self, library_basename, filename_prefixes):
"""Return the prefix library_basename starts with
Return None if none matches.
"""
for prefix in filename_prefixes:
if library_basename.startswith(prefix):
return prefix
return None
def _warn_if_incompatible_openmp(self):
"""Raise a warning if llvm-OpenMP and intel-OpenMP are both loaded"""
if sys.platform != "linux":
# The incompatibility between libomp and libiomp is known to cause
# crashes on Linux. On other platforms, conda-forge may expose both
# libraries without the same runtime conflict (for instance when
# libiomp forwards to libomp on Windows).
return
prefixes = [lib_controller.prefix for lib_controller in self.lib_controllers]
msg = textwrap.dedent(
"""
Found Intel OpenMP ('libiomp') and LLVM OpenMP ('libomp') loaded at
the same time. Both libraries are known to be incompatible and this
can cause random crashes or deadlocks on Linux when loaded in the
same Python program.
Using threadpoolctl may cause crashes or deadlocks. For more
information and possible workarounds, please see
https://github.com/joblib/threadpoolctl/blob/master/multiple_openmp.md
"""
)
if "libomp" in prefixes and "libiomp" in prefixes:
warnings.warn(msg, RuntimeWarning)
@classmethod
def _get_libc(cls):
"""Load the lib-C for unix systems."""
libc = cls._system_libraries.get("libc")
if libc is None:
# dlopen(NULL) rather than ctypes.util.find_library("c"). Importing
# ctypes.util on CPython 3.14 Linux creates a process-lifetime
# CFUNCTYPE callback that is not fork-safe with some libffi builds
# (issue #225). If libc is statically linked or Python is linked
# against musl, the main program still exports the libc symbols we
# need. If it does not, we check for those symbols later anyway.
libc = ctypes.CDLL(None, mode=_RTLD_NOLOAD)
cls._system_libraries["libc"] = libc
return libc
@classmethod
def _get_windll(cls, dll_name):
"""Load a windows DLL"""
dll = cls._system_libraries.get(dll_name)
if dll is None:
dll = ctypes.WinDLL(f"{dll_name}.dll", use_last_error=True)
cls._system_libraries[dll_name] = dll
return dll
def _main():
"""Commandline interface to display thread-pool information and exit."""
import argparse
import importlib
import json
import sys
parser = argparse.ArgumentParser(
usage="python -m threadpoolctl -i numpy scipy.linalg xgboost",
description="Display thread-pool information and exit.",
)
parser.add_argument(
"-i",
"--import",
dest="modules",
nargs="*",
default=(),
help="Python modules to import before introspecting thread-pools.",
)
parser.add_argument(
"-c",
"--command",
help="a Python statement to execute before introspecting thread-pools.",
)
options = parser.parse_args(sys.argv[1:])
for module in options.modules:
try:
importlib.import_module(module, package=None)
except ImportError:
print("WARNING: could not import", module, file=sys.stderr)
if options.command:
exec(options.command)
print(json.dumps(threadpool_info(debugging_info=True), indent=2))
if __name__ == "__main__":
_main()