weights = self.optimizer.trainable_params() grad_fn = mindspore.value_and_grad(model, grad_position=None, weights=weights, has_aux=True) (total_loss, loss_cls, loss_center, loss_triplet, loss_circle, loss_cosface, loss_triplet_add, loss_triplet_mtrain, loss_stc, loss_triplet_mtest, loss...