projektAI/venv/Lib/site-packages/joblib/externals/loky/backend/context.py
2021-06-06 22:13:05 +02:00

368 lines
14 KiB
Python

###############################################################################
# Basic context management with LokyContext and provides
# compat for UNIX 2.7 and 3.3
#
# author: Thomas Moreau and Olivier Grisel
#
# adapted from multiprocessing/context.py
# * Create a context ensuring loky uses only objects that are compatible
# * Add LokyContext to the list of context of multiprocessing so loky can be
# used with multiprocessing.set_start_method
# * Add some compat function for python2.7 and 3.3.
#
from __future__ import division
import os
import sys
import subprocess
import traceback
import warnings
import multiprocessing as mp
from .process import LokyProcess, LokyInitMainProcess
START_METHODS = ['loky', 'loky_init_main']
_DEFAULT_START_METHOD = None
# Cache for the number of physical cores to avoid repeating subprocess calls.
# It should not change during the lifetime of the program.
physical_cores_cache = None
if sys.version_info[:2] >= (3, 4):
from multiprocessing import get_context as mp_get_context
from multiprocessing.context import assert_spawning, set_spawning_popen
from multiprocessing.context import get_spawning_popen, BaseContext
START_METHODS += ['spawn']
if sys.platform != 'win32':
START_METHODS += ['fork', 'forkserver']
def get_context(method=None):
# Try to overload the default context
method = method or _DEFAULT_START_METHOD or "loky"
if method == "fork":
# If 'fork' is explicitly requested, warn user about potential
# issues.
warnings.warn("`fork` start method should not be used with "
"`loky` as it does not respect POSIX. Try using "
"`spawn` or `loky` instead.", UserWarning)
try:
context = mp_get_context(method)
except ValueError:
raise ValueError("Unknown context '{}'. Value should be in {}."
.format(method, START_METHODS))
return context
else:
if sys.platform != 'win32':
import threading
# Mechanism to check that the current thread is spawning a process
_tls = threading.local()
popen_attr = 'spawning_popen'
else:
from multiprocessing.forking import Popen
_tls = Popen._tls
popen_attr = 'process_handle'
BaseContext = object
def get_spawning_popen():
return getattr(_tls, popen_attr, None)
def set_spawning_popen(popen):
setattr(_tls, popen_attr, popen)
def assert_spawning(obj):
if get_spawning_popen() is None:
raise RuntimeError(
'%s objects should only be shared between processes'
' through inheritance' % type(obj).__name__
)
def get_context(method=None):
method = method or _DEFAULT_START_METHOD or 'loky'
if method == "loky":
return LokyContext()
elif method == "loky_init_main":
return LokyInitMainContext()
else:
raise ValueError("Unknown context '{}'. Value should be in {}."
.format(method, START_METHODS))
def set_start_method(method, force=False):
global _DEFAULT_START_METHOD
if _DEFAULT_START_METHOD is not None and not force:
raise RuntimeError('context has already been set')
assert method is None or method in START_METHODS, (
"'{}' is not a valid start_method. It should be in {}"
.format(method, START_METHODS))
_DEFAULT_START_METHOD = method
def get_start_method():
return _DEFAULT_START_METHOD
def cpu_count(only_physical_cores=False):
"""Return the number of CPUs the current process can use.
The returned number of CPUs accounts for:
* the number of CPUs in the system, as given by
``multiprocessing.cpu_count``;
* the CPU affinity settings of the current process
(available with Python 3.4+ on some Unix systems);
* CFS scheduler CPU bandwidth limit (available on Linux only, typically
set by docker and similar container orchestration systems);
* the value of the LOKY_MAX_CPU_COUNT environment variable if defined.
and is given as the minimum of these constraints.
If ``only_physical_cores`` is True, return the number of physical cores
instead of the number of logical cores (hyperthreading / SMT). Note that
this option is not enforced if the number of usable cores is controlled in
any other way such as: process affinity, restricting CFS scheduler policy
or the LOKY_MAX_CPU_COUNT environment variable. If the number of physical
cores is not found, return the number of logical cores.
It is also always larger or equal to 1.
"""
# TODO: use os.cpu_count when dropping python 2 support
try:
cpu_count_mp = mp.cpu_count()
except NotImplementedError:
cpu_count_mp = 1
cpu_count_user = _cpu_count_user(cpu_count_mp)
aggregate_cpu_count = min(cpu_count_mp, cpu_count_user)
if only_physical_cores:
cpu_count_physical, exception = _count_physical_cores()
if cpu_count_user < cpu_count_mp:
# Respect user setting
cpu_count = max(cpu_count_user, 1)
elif cpu_count_physical == "not found":
# Fallback to default behavior
if exception is not None:
# warns only the first time
warnings.warn(
"Could not find the number of physical cores for the "
"following reason:\n" + str(exception) + "\n"
"Returning the number of logical cores instead. You can "
"silence this warning by setting LOKY_MAX_CPU_COUNT to "
"the number of cores you want to use.")
if sys.version_info >= (3, 5):
# TODO remove the version check when dropping py2 support
traceback.print_tb(exception.__traceback__)
cpu_count = max(aggregate_cpu_count, 1)
else:
return cpu_count_physical
else:
cpu_count = max(aggregate_cpu_count, 1)
return cpu_count
def _cpu_count_user(cpu_count_mp):
"""Number of user defined available CPUs"""
import math
# Number of available CPUs given affinity settings
cpu_count_affinity = cpu_count_mp
if hasattr(os, 'sched_getaffinity'):
try:
cpu_count_affinity = len(os.sched_getaffinity(0))
except NotImplementedError:
pass
# CFS scheduler CPU bandwidth limit
# available in Linux since 2.6 kernel
cpu_count_cfs = cpu_count_mp
cfs_quota_fname = "/sys/fs/cgroup/cpu/cpu.cfs_quota_us"
cfs_period_fname = "/sys/fs/cgroup/cpu/cpu.cfs_period_us"
if os.path.exists(cfs_quota_fname) and os.path.exists(cfs_period_fname):
with open(cfs_quota_fname, 'r') as fh:
cfs_quota_us = int(fh.read())
with open(cfs_period_fname, 'r') as fh:
cfs_period_us = int(fh.read())
if cfs_quota_us > 0 and cfs_period_us > 0:
# Make sure this quantity is an int as math.ceil returns a
# float in python2.7. (See issue #165)
cpu_count_cfs = int(math.ceil(cfs_quota_us / cfs_period_us))
# User defined soft-limit passed as a loky specific environment variable.
cpu_count_loky = int(os.environ.get('LOKY_MAX_CPU_COUNT', cpu_count_mp))
return min(cpu_count_affinity, cpu_count_cfs, cpu_count_loky)
def _count_physical_cores():
"""Return a tuple (number of physical cores, exception)
If the number of physical cores is found, exception is set to None.
If it has not been found, return ("not found", exception).
The number of physical cores is cached to avoid repeating subprocess calls.
"""
exception = None
# First check if the value is cached
global physical_cores_cache
if physical_cores_cache is not None:
return physical_cores_cache, exception
# Not cached yet, find it
try:
if sys.platform == "linux":
cpu_info = subprocess.run(
"lscpu --parse=core".split(" "), capture_output=True)
cpu_info = cpu_info.stdout.decode("utf-8").splitlines()
cpu_info = {line for line in cpu_info if not line.startswith("#")}
cpu_count_physical = len(cpu_info)
elif sys.platform == "win32":
cpu_info = subprocess.run(
"wmic CPU Get NumberOfCores /Format:csv".split(" "),
capture_output=True)
cpu_info = cpu_info.stdout.decode('utf-8').splitlines()
cpu_info = [l.split(",")[1] for l in cpu_info
if (l and l != "Node,NumberOfCores")]
cpu_count_physical = sum(map(int, cpu_info))
elif sys.platform == "darwin":
cpu_info = subprocess.run(
"sysctl -n hw.physicalcpu".split(" "), capture_output=True)
cpu_info = cpu_info.stdout.decode('utf-8')
cpu_count_physical = int(cpu_info)
else:
raise NotImplementedError(
"unsupported platform: {}".format(sys.platform))
# if cpu_count_physical < 1, we did not find a valid value
if cpu_count_physical < 1:
raise ValueError(
"found {} physical cores < 1".format(cpu_count_physical))
except Exception as e:
exception = e
cpu_count_physical = "not found"
# Put the result in cache
physical_cores_cache = cpu_count_physical
return cpu_count_physical, exception
class LokyContext(BaseContext):
"""Context relying on the LokyProcess."""
_name = 'loky'
Process = LokyProcess
cpu_count = staticmethod(cpu_count)
def Queue(self, maxsize=0, reducers=None):
'''Returns a queue object'''
from .queues import Queue
return Queue(maxsize, reducers=reducers,
ctx=self.get_context())
def SimpleQueue(self, reducers=None):
'''Returns a queue object'''
from .queues import SimpleQueue
return SimpleQueue(reducers=reducers, ctx=self.get_context())
if sys.version_info[:2] < (3, 4):
"""Compat for python2.7/3.3 for necessary methods in Context"""
def get_context(self):
return self
def get_start_method(self):
return self._name
def Pipe(self, duplex=True):
'''Returns two connection object connected by a pipe'''
return mp.Pipe(duplex)
if sys.platform != "win32":
"""Use the compat Manager for python2.7/3.3 on UNIX to avoid
relying on fork processes
"""
def Manager(self):
"""Returns a manager object"""
from .managers import LokyManager
m = LokyManager()
m.start()
return m
else:
"""Compat for context on Windows and python2.7/3.3. Using regular
multiprocessing objects as it does not rely on fork.
"""
from multiprocessing import synchronize
Semaphore = staticmethod(synchronize.Semaphore)
BoundedSemaphore = staticmethod(synchronize.BoundedSemaphore)
Lock = staticmethod(synchronize.Lock)
RLock = staticmethod(synchronize.RLock)
Condition = staticmethod(synchronize.Condition)
Event = staticmethod(synchronize.Event)
Manager = staticmethod(mp.Manager)
if sys.platform != "win32":
"""For Unix platform, use our custom implementation of synchronize
relying on ctypes to interface with pthread semaphores.
"""
def Semaphore(self, value=1):
"""Returns a semaphore object"""
from .synchronize import Semaphore
return Semaphore(value=value)
def BoundedSemaphore(self, value):
"""Returns a bounded semaphore object"""
from .synchronize import BoundedSemaphore
return BoundedSemaphore(value)
def Lock(self):
"""Returns a lock object"""
from .synchronize import Lock
return Lock()
def RLock(self):
"""Returns a recurrent lock object"""
from .synchronize import RLock
return RLock()
def Condition(self, lock=None):
"""Returns a condition object"""
from .synchronize import Condition
return Condition(lock)
def Event(self):
"""Returns an event object"""
from .synchronize import Event
return Event()
class LokyInitMainContext(LokyContext):
"""Extra context with LokyProcess, which does load the main module
This context is used for compatibility in the case ``cloudpickle`` is not
present on the running system. This permits to load functions defined in
the ``main`` module, using proper safeguards. The declaration of the
``executor`` should be protected by ``if __name__ == "__main__":`` and the
functions and variable used from main should be out of this block.
This mimics the default behavior of multiprocessing under Windows and the
behavior of the ``spawn`` start method on a posix system for python3.4+.
For more details, see the end of the following section of python doc
https://docs.python.org/3/library/multiprocessing.html#multiprocessing-programming
"""
_name = 'loky_init_main'
Process = LokyInitMainProcess
if sys.version_info > (3, 4):
"""Register loky context so it works with multiprocessing.get_context"""
ctx_loky = LokyContext()
mp.context._concrete_contexts['loky'] = ctx_loky
mp.context._concrete_contexts['loky_init_main'] = LokyInitMainContext()