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rowanc1
65 lines
1.8 KiB
Python
65 lines
1.8 KiB
Python
import SimPEG
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from SimPEG import Utils, sp, np
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from Optimization import Remember, IterationPrinters, StoppingCriteria
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import Rules
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class BaseInversion(object):
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"""BaseInversion(objFunc, opt, **kwargs)
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"""
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__metaclass__ = Utils.SimPEGMetaClass
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name = 'BaseInversion'
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debug = False #: Print debugging information
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counter = None #: Set this to a SimPEG.Utils.Counter() if you want to count things
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@property
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def ruleList(self):
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if getattr(self,'_ruleList', None) is None:
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self._ruleList = Rules.RuleList(inversion=self)
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return self._ruleList
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@ruleList.setter
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def ruleList(self, value):
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assert isinstance(value, Rules.RuleList), 'Must be a RuleList'
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self._ruleList = value
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self._ruleList.inversion = self
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def __init__(self, objFunc, opt, **kwargs):
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Utils.setKwargs(self, **kwargs)
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self.objFunc = objFunc
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self.objFunc.parent = self
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self.opt = opt
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opt.callback = self._optCallback
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self.opt.parent = self
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self.stoppers = [StoppingCriteria.iteration]
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# Check if we have inserted printers into the optimization
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if IterationPrinters.phi_d not in self.opt.printers:
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self.opt.printers.insert(1,IterationPrinters.beta)
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self.opt.printers.insert(2,IterationPrinters.phi_d)
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self.opt.printers.insert(3,IterationPrinters.phi_m)
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@Utils.timeIt
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def run(self, m0):
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"""run(m0)
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Runs the inversion!
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"""
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self.objFunc.startup(m0)
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self.ruleList.call('initialize')
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self.m = self.opt.minimize(self.objFunc.evalFunction, m0)
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self.ruleList.call('finish')
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return self.m
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def _optCallback(self, xt):
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self.ruleList.call('endIter')
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