a9b58d07768ec06f8718ec2777f2b0293359f5b4,geomstats/learning/frechet_mean.py,,_ball_gradient_descent,#Any#Any#Any#Any#Any#Any#,177

Before Change

            cc_barycenter = exp(torch.from_numpy(barycenter),
                                torch.from_numpy(lr * grad_tangent.sum(0, keepdims=True)))

            cc_barycenter = cc_barycenter.data.numpy()
            convergence = metric.dist(cc_barycenter, barycenter).max().item()
            barycenter = cc_barycenter

    if iteration == max_iter:

After Change

            lr_grad_tangent = lr * grad_tangent.sum(0, keepdims=True)

            lr_grad_tangent_s = lr_grad_tangent.squeeze()
            cc_barycenter = gs.zeros(lr_grad_tangent_s.shape)

            for i in range(len(cc_barycenter)):
                    cc_barycenter[i] = metric.exp(barycenter_gs[i], lr_grad_tangent_s[i])


            cc_barycenter = gs.expand_dims(cc_barycenter, 0)

            convergence = metric.dist(cc_barycenter, barycenter).max().item()
            print("conv", convergence)

Instances