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MPIAnnealing: distribute statistics to all workers #19

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MPIAnnealing: distribute statistics to all workers #19

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13 changes: 6 additions & 7 deletions altar/bayesian/MPIAnnealing.py
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Original file line number Diff line number Diff line change
Expand Up @@ -114,14 +114,13 @@ def resample(self, annealer, statistics):
accepted, rejected, unlikely = statistics

# add up the acceptance/rejection statistics from all the nodes
accepted = self.communicator.sum(accepted, destination=manager)
rejected = self.communicator.sum(rejected, destination=manager)
unlikely = self.communicator.sum(unlikely, destination=manager)
# and distribute the results back to all processes
accepted = self.communicator.sum(item=accepted)
rejected = self.communicator.sum(item=rejected)
unlikely = self.communicator.sum(item=unlikely)

# if I am the boss
if self.rank == manager:
# chain up
super().resample(annealer=annealer, statistics=(accepted,rejected,unlikely))
# chain up
super().resample(annealer=annealer, statistics=(accepted,rejected,unlikely))

# all done
return self
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