def using_hyperthreading():
if not lfu.using_os('windows'):
print 'cant test hyperthreading when not using windows'
return
winmgmts_root = GetObject("winmgmts:root\cimv2")
cpus = winmgmts_root.ExecQuery("Select * from Win32_Processor")
for cpu in cpus:
if cpu.NumberOfCores <= cpu.NumberOfLogicalProcessors:
return True, cpu.DeviceID
else: return False, cpu.DeviceID
import libs.modular_core.libfundamental as lfu
#import pyopencl as cl; gpu_support = True
if lfu.using_os('mac'):
gpu_support = False
print 'gpu', gpu_support
else:
try:
import pyopencl as cl
from pyopencl.tools import get_gl_sharing_context_properties
gpu_support = True #; print 'gpu', gpu_support
except ImportError:
cl = None
gpu_support = False
print 'gpu', gpu_support
import sys
import numpy as np
import os
import pdb
lib_path = os.path.join(os.getcwd(), 'libs', 'gpu')
gpu_cl_extensions = {
'addition': os.path.join(lib_path, 'lib_gpu1to1addition.cl'),
'subtraction': os.path.join(lib_path, 'lib_gpu1to1subtraction.cl'),
'multiplication': os.path.join(lib_path, 'lib_gpu1to1multiplication.cl'),
'division': os.path.join(lib_path, 'lib_gpu1to1division.cl'),
'particlesim': os.path.join(lib_path, 'lib_gpuParticleSim.cl')
}
import libs.modular_core.libfundamental as lfu
#import pyopencl as cl; gpu_support = True
if lfu.using_os('mac'):
gpu_support = False; print 'gpu', gpu_support
else:
try:
import pyopencl as cl
from pyopencl.tools import get_gl_sharing_context_properties
gpu_support = True#; print 'gpu', gpu_support
except ImportError: cl = None; gpu_support = False; print 'gpu', gpu_support
import sys
import numpy as np
import os
import pdb
lib_path = os.path.join(os.getcwd(), 'libs', 'gpu')
gpu_cl_extensions = {
'addition' : os.path.join(lib_path,
'lib_gpu1to1addition.cl'),
'subtraction' : os.path.join(lib_path,
'lib_gpu1to1subtraction.cl'),
'multiplication' : os.path.join(lib_path,
'lib_gpu1to1multiplication.cl'),
'division' : os.path.join(lib_path,
'lib_gpu1to1division.cl'),
'particlesim' : os.path.join(lib_path,
'lib_gpuParticleSim.cl')}
import libs.modular_core.libfundamental as lfu
import libs.modular_core.libsettings as lset
import libs.gpu.lib_gpu as lgpu
if lfu.using_os('windows'):
try: from win32com.client import GetObject
except ImportError: pass
import multiprocessing as mp
import numpy as np
import types
import time
import pdb
if __name__ == 'libs.modular_core.libmultiprocess':
if lfu.gui_pack is None: lfu.find_gui_pack()
lgm = lfu.gui_pack.lgm
if __name__ == '__main__':
print 'this is a library!'
class multiprocess_plan(lfu.plan):
def __init__(self, parent = None, label = 'multiprocess plan'):
self.worker_count = lset.get_setting('worker_processes')
self.worker_report = []
if lgpu.gpu_support: self.gpu_worker = lgpu.CL()
use_plan = lset.get_setting('multiprocessing')
lfu.plan.__init__(self, parent = parent,
label = label, use_plan = use_plan)