1624bfcb02cd3e946552490ab18130678aa433b1,paysage/models/model.py,Model,grad_TAP_free_energy,#Model#,705

Before Change

        

        // compute the TAP approximation to the Helmholtz free energy:
        grad_EMF = gu.zero_grad(self)

        // compute minimizing magnetizations from random initializations
        for s in range(num_r):
            mag, EMF = self.TAP_free_energy(None,
                                            init_lr_EMF,
                                            tolerance_EMF,
                                            max_iters_EMF)
            // Compute the gradients at this minimizing magnetization
            grad_gfe = self._grad_gibbs_free_energy(mag)
            gu.grad_mapzip_(be.add_, grad_gfe, grad_EMF)

        // average
        scale = partial(be.tmul_, be.float_scalar(1/num_r))
        gu.grad_apply_(scale, grad_EMF)

        return grad_EMF

    def save(self, store: pandas.HDFStore) -> None:
        
        Save a model to an open HDFStore.

After Change

                                          max_iters_EMF)

        // Return the gradients at this minimizing magnetization
        return self._grad_gibbs_free_energy(mag)

    def save(self, store: pandas.HDFStore) -> None:
        
        Save a model to an open HDFStore.

Instances