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on linux cluster with python 2.6.4, MM2_surrogate_diam_batchgrid.py fails with:
Traceback (most recent call last):
File "MM2_surrogate_diam_batchgrid.py", line 197, in <module>
diameter = UQ(RVstart,RVend,lower_bounds,upper_bounds)
File "MM2_surrogate_diam_batchgrid.py", line 126, in UQ
results = Pool(nnodes).map(optimize, cf,lb,ub,nb)
File "/home/mmckerns/lib/python2.6/site-packages/pathos-0.2a1.dev-py2.6.egg/pathos/multiprocessing.py", line 108, in map
return __STATE['pool'].map(star(f), zip(*args)) # chunksize
File "/home/mmckerns/lib/python2.6/site-packages/processing-0.52_pathos-py2.6-linux-x86_64.egg/processing/pool.py", line 130, in map
return self.mapAsync(func, iterable, chunksize).get()
File "/home/mmckerns/lib/python2.6/site-packages/processing-0.52_pathos-py2.6-linux-x86_64.egg/processing/pool.py", line 373, in get
raise self._value
thread.error: can't start new thread
Traceback (most recent call last):
File "/home/mmckerns/bin/ezpool.py", line 5, in <module>
pkg_resources.run_script('pyina==0.2a1.dev', 'ezpool.py')
File "/home/mmckerns/lib/python2.6/site-packages/setuptools-0.6c11-py2.6.egg/pkg_resources.py", line 489, in run_script
File "/home/mmckerns/lib/python2.6/site-packages/setuptools-0.6c11-py2.6.egg/pkg_resources.py", line 1207, in run_script
File "/home/mmckerns/lib/python2.6/site-packages/pyina-0.2a1.dev-py2.6.egg/EGG-INFO/scripts/ezpool.py", line 57, in <module>
res = parallel_map(func, *args, **kwds) #XXX: called on ALL nodes ?
File "/home/mmckerns/lib/python2.6/site-packages/pyina-0.2a1.dev-py2.6.egg/pyina/mpi_pool.py", line 65, in parallel_map
pool = MPool(1) #XXX: poor pickling... use iSend/iRecv instead?
File "/home/mmckerns/lib/python2.6/site-packages/processing-0.52_pathos-py2.6-linux-x86_64.egg/processing/pool.py", line 100, in __init__
self._task_handler.start()
File "/usr/local/python-2.6.4/lib/python2.6/threading.py", line 471, in start
_start_new_thread(self.__bootstrap, ())
thread.error: can't start new thread
solved: [104.90247657509542, 1.0639249013840923e-10, 2.2856829028068693, 60.000000000004114]
solved: [98.740640792599351, 0.68621813955341593, 2.1000000001085253, 2.7999999999909924]
Both work fine on mac OSX with python 2.7.8 and 2.6.9
The text was updated successfully, but these errors were encountered:
on linux cluster with python 2.6.4, MM2_surrogate_diam_batchgrid.py fails with:
similarly, MPI2_surrogate_diam_batchgrid.py fails with:
Both work fine on mac OSX with python 2.7.8 and 2.6.9
The text was updated successfully, but these errors were encountered: