def gradients_qX_expectations(self, dL_dpsi0, dL_dpsi1, dL_dpsi2, Z, variational_posterior):
return self.psicomp.psiDerivativecomputations(self, dL_dpsi0, dL_dpsi1, dL_dpsi2, Z, variational_posterior)[<NUM_LIT:2>:]<EOL>
Compute the gradients wrt the parameters of the variational
distruibution q(X), chain-ruling via the expectations of the kernel