def gradients_Z_expectations(self, dL_dpsi0, dL_dpsi1, dL_dpsi2, Z, variational_posterior,<EOL>psi0=None, psi1=None, psi2=None):
return self.psicomp.psiDerivativecomputations(self, dL_dpsi0, dL_dpsi1, dL_dpsi2, Z, variational_posterior)[<NUM_LIT:1>]<EOL>
Returns the derivative of the objective wrt Z, using the chain rule
through the expectation variables.