measurement*noise_intensity*torch.randn(measurement.shape) b_tch=measurement# solve the problemsolution, = cvxpylayer(A_tch, b_tch, D_tch)# print(solution)volume_pred[x][y]=solution loss=F.mse_loss(volume_pred,volume)print(loss)print("avg:",loss_avg/n_valid)# print("Gx:",Gx/(n_val...