def create_hyperupdater( self, updaterlist ):
if self.param.hyperupdater == 'none':
return []
elif self.param.hyperupdater == 'gibbs-joint':
return [ nnupdater.HyperUpdater( self.param, updaterlist ) ]
elif self.param.hyperupdater == 'gibbs-sep':
return [ nnupdater.HyperUpdater( self.param, [u] ) for u in updaterlist ]
else:
pass
def create_hyperupdater(self, updaterlist):
if self.param.hyperupdater == 'none':
return []
elif self.param.hyperupdater == 'gibbs-joint':
return [nnupdater.HyperUpdater(self.param, updaterlist)]
elif self.param.hyperupdater == 'gibbs-sep':
return [
nnupdater.HyperUpdater(self.param, [u]) for u in updaterlist
]
else:
raise RuntimeError('NNConfig', 'unknown hyperupdater')
def create_hyperupdater(self, updaterlist):
if self.param.hyperupdater == 'none':
return []
elif self.param.hyperupdater == 'gibbs-joint':
return [nnupdater.HyperUpdater(self.param, updaterlist)]
elif self.param.hyperupdater == 'gibbs-sep':
# Default case: create HyperUpdater for _each_ weight. It's what I
# have in my blog post; each weight gets its own sampled h-params.
return [
nnupdater.HyperUpdater(self.param, [u]) for u in updaterlist
]
else:
raise Exception('NNConfig', 'unknown hyperupdater')
def create_hyperupdater(self, updaterlist):
return [nnupdater.HyperUpdater(self.param, [u]) for u in updaterlist]