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further bug fix for sparsegp_mpi

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This commit is contained in:
Zhenwen Dai 2014-08-27 09:45:06 +01:00
parent 1e1bbb2a26
commit 7ed0e70a46
3 changed files with 24 additions and 16 deletions
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23
GPy/models/ss_gplvm.py
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@ -84,18 +84,17 @@ class SSGPLVM(SparseGP_MPI):
"""Get the gradients of the posterior distribution of X in its specific form."""
return X.mean.gradient, X.variance.gradient, X.binary_prob.gradient
# def parameters_changed(self):
# if isinstance(self.inference_method, VarDTC_GPU) or isinstance(self.inference_method, VarDTC_minibatch):
# update_gradients(self, mpi_comm=self.mpi_comm)
# return
#
# super(SSGPLVM, self).parameters_changed()
# self._log_marginal_likelihood -= self.variational_prior.KL_divergence(self.X)
#
# self.X.mean.gradient, self.X.variance.gradient, self.X.binary_prob.gradient = self.kern.gradients_qX_expectations(variational_posterior=self.X, Z=self.Z, dL_dpsi0=self.grad_dict['dL_dpsi0'], dL_dpsi1=self.grad_dict['dL_dpsi1'], dL_dpsi2=self.grad_dict['dL_dpsi2'])
#
# # update for the KL divergence
# self.variational_prior.update_gradients_KL(self.X)
def parameters_changed(self):
super(SSGPLVM,self).parameters_changed()
if isinstance(self.inference_method, VarDTC_minibatch):
return
self._log_marginal_likelihood -= self.variational_prior.KL_divergence(self.X)
self.X.mean.gradient, self.X.variance.gradient, self.X.binary_prob.gradient = self.kern.gradients_qX_expectations(variational_posterior=self.X, Z=self.Z, dL_dpsi0=self.grad_dict['dL_dpsi0'], dL_dpsi1=self.grad_dict['dL_dpsi1'], dL_dpsi2=self.grad_dict['dL_dpsi2'])
# update for the KL divergence
self.variational_prior.update_gradients_KL(self.X)
def input_sensitivity(self):
if self.kern.ARD: