Commit 40aae561 authored by Martin Reinecke's avatar Martin Reinecke
Browse files

different multiprocessing

parent 641e1576
......@@ -53,9 +53,7 @@ if __name__ == "__main__":
# Probing the uncertainty |\label{code:wf_uncertainty_probing}|
class Proby(ift.DiagonalProberMixin, ift.Prober): pass
proby = Proby(signal_space, probe_count=10)
# class Proby(ift.DiagonalProberMixin, ift.ParallelProber): pass
# proby = Proby(signal_space, probe_count=10,ncpu=2)
proby = Proby(signal_space, probe_count=10,ncpu=1)
proby(lambda z: fft(wiener_curvature.inverse_times(fft.inverse_times(z)))) #|\label{code:wf_variance_fft_wrap}|
sm = ift.FFTSmoothingOperator(signal_space, sigma=0.03)
......@@ -72,6 +72,10 @@ class Prober(object):
# ---Probing methods---
def gen_parallel_probe(self,callee):
for i in range(self.probe_count):
yield (callee, self.get_probe(i))
def probing_run(self, callee):
""" controls the generation, evaluation and finalization of probes """
......@@ -81,21 +85,16 @@ class Prober(object):
pre_result = self.process_probe(callee, current_probe, index)
self.finish_probe(current_probe, pre_result)
probes = [None]*self.probe_count
callee = [callee]*self.probe_count
index = np.arange(self.probe_count)
for ii in range(self.probe_count):
probes[ii] = self.get_probe(index[ii])
from pathos.multiprocessing import ProcessingPool as Pool
pool = Pool(ncpus=self._ncpu)
pre_results =, callee,
for ii in xrange(self.probe_count):
self.finish_probe(probes[ii], pre_results[ii])
def evaluate_probe_parallel(self, callee, probe):
return callee(probe[1])
from multiprocess import Pool
pool = Pool(self._ncpu)
for i in pool.imap_unordered(self.evaluate_probe_parallel,
def evaluate_probe_parallel(self, argtuple):
callee = argtuple[0]
probe = argtuple[1]
return (probe, callee(probe[1]))
def reset(self):
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