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@ -120,8 +120,6 @@ class BayesianGPLVMMiniBatch(SparseGPMiniBatch):
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E.g. set the gradients of parameters, etc.
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"""
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super(BayesianGPLVMMiniBatch, self)._outer_values_update(full_values)
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print full_values['kerngrad']
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import ipdb; ipdb.set_trace() # XXX BREAKPOINT
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if self.has_uncertain_inputs():
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meangrad_tmp, vargrad_tmp = self.kern.gradients_qX_expectations(
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variational_posterior=self.X,
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