Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Multiprocessing #23

Open
wants to merge 2 commits into
base: master
Choose a base branch
from
Open

Multiprocessing #23

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
d83b79c
Added parameter for number of processes
kfeuz Nov 13, 2012
4c461bb
Made proc_pool a class variable so the pool persists between function…
kfeuz Nov 15, 2012
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
25 changes: 15 additions & 10 deletions pyevolve/GPopulation.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -133,6 +133,7 @@ def __init__(self, genome):

self.internalParams = genome.internalParams
self.multiProcessing = genome.multiProcessing
self.proc_pool = genome.proc_pool

self.statted = False
self.stats = Statistics()
Expand All @@ -151,13 +152,14 @@ def __init__(self, genome):
self.allSlots = [self.scaleMethod]

self.internalParams = {}
self.multiProcessing = (False, False)
self.multiProcessing = (False, False, CPU_COUNT)
self.proc_pool = None

# Statistics
self.statted = False
self.stats = Statistics()

def setMultiProcessing(self, flag=True, full_copy=False):
def setMultiProcessing(self, flag=True, full_copy=False, processes=CPU_COUNT):
""" Sets the flag to enable/disable the use of python multiprocessing module.
Use this option when you have more than one core on your CPU and when your
evaluation function is very slow.
Expand All @@ -167,6 +169,7 @@ def setMultiProcessing(self, flag=True, full_copy=False):

:param flag: True (default) or False
:param full_copy: True or False (default)
:param proccesses: Number of processes (default=CPU_COUNT)

.. warning:: Use this option only when your evaluation function is slow, se you
will get a good tradeoff between the process communication speed and the
Expand All @@ -176,7 +179,10 @@ def setMultiProcessing(self, flag=True, full_copy=False):
The `setMultiProcessing` method.

"""
self.multiProcessing = (flag, full_copy)
self.multiProcessing = (flag, full_copy, processes)

if self.multiProcessing[0] and MULTI_PROCESSING:
self.proc_pool = Pool(self.multiProcessing[2])

def setMinimax(self, minimax):
""" Sets the population minimax
Expand Down Expand Up @@ -386,19 +392,17 @@ def evaluate(self, **args):
# We have multiprocessing
if self.multiProcessing[0] and MULTI_PROCESSING:
logging.debug("Evaluating the population using the multiprocessing method")
proc_pool = Pool()

if self.proc_pool == None: #Should not happen but just in case
self.proc_pool = Pool(self.multiProcessing[2])

# Multiprocessing full_copy parameter
if self.multiProcessing[1]:
results = proc_pool.map(multiprocessing_eval_full, self.internalPop)
proc_pool.close()
proc_pool.join()
results = self.proc_pool.map(multiprocessing_eval_full, self.internalPop)
for i in xrange(len(self.internalPop)):
self.internalPop[i] = results[i]
else:
results = proc_pool.map(multiprocessing_eval, self.internalPop)
proc_pool.close()
proc_pool.join()
results = self.proc_pool.map(multiprocessing_eval, self.internalPop)
for individual, score in zip(self.internalPop, results):
individual.score = score
else:
Expand Down Expand Up @@ -452,6 +456,7 @@ def copy(self, pop):
#pop.internalParams = self.internalParams.copy()
pop.internalParams = self.internalParams
pop.multiProcessing = self.multiProcessing
pop.proc_pool = self.proc_pool

def getParam(self, key, nvl=None):
""" Gets an internal parameter
Expand Down
21 changes: 18 additions & 3 deletions pyevolve/GSimpleGA.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -72,7 +72,7 @@
import logging

from time import time
from types import BooleanType
from types import BooleanType, IntType
from sys import platform as sys_platform
from sys import stdout as sys_stdout

Expand Down Expand Up @@ -381,7 +381,7 @@ def __repr__(self):
ret+="\n"
return ret

def setMultiProcessing(self, flag=True, full_copy=False):
def setMultiProcessing(self, flag=True, full_copy=False, processes=None):
""" Sets the flag to enable/disable the use of python multiprocessing module.
Use this option when you have more than one core on your CPU and when your
evaluation function is very slow.
Expand All @@ -398,9 +398,18 @@ def setMultiProcessing(self, flag=True, full_copy=False):
The parameter "full_copy" defines where the individual data should be copied back
after the evaluation or not. This parameter is useful when you change the
individual in the evaluation function.

The parameter "processes" sets the number of processes to be used in the processing
pool. If processes is set to a value less than 1, the number of CPUs will be used.
By default, processes is set to the number of CPUs. In some cases the
user may wish to specify fewer or more processes than this. Fewer processes may be
used to restrict the number of processes spawned. More processes may be used when
the machine has multiple CPUs, each with multiple cores, or with processes that are
not CPU bound.

:param flag: True (default) or False
:param full_copy: True or False (default)
:param processes: number of processes in the pool (default=CPU_COUNT)

.. warning:: Use this option only when your evaluation function is slow, so you'll
get a good tradeoff between the process communication speed and the
Expand All @@ -422,7 +431,13 @@ def setMultiProcessing(self, flag=True, full_copy=False):
if type(full_copy) != BooleanType:
Util.raiseException("Multiprocessing 'full_copy' option must be True or False", TypeError)

self.internalPop.setMultiProcessing(flag, full_copy)
if processes != None and type(processes) != IntType:
Util.raiseException("Multiprocessing 'processes' option must be an integer")

if processes != None and processes > 0:
self.internalPop.setMultiProcessing(flag, full_copy, processes)
else:
self.internalPop.setMultiProcessing(flag, full_copy)

def setMigrationAdapter(self, migration_adapter=None):
""" Sets the Migration Adapter
Expand Down