python - 将张量列表转换为 numpy，然后对数字求和

Question

我想将张量列表转换为 numpy 数组/列表，然后将其相加并乘以时期数。我尝试使用 MSE_for_all_epochs = sum(np.MSE_for_all_epochs) 但收到以下错误消息： Traceback（最近一次调用最后一次）：文件“train3_Eval.py”，第 177 行，在 MSE_for_all_epochs = sum(np.MSE_for_all_epochs) AttributeError: module “numpy”没有属性“MSE_for_all_epochs”

        mean_test_error = mean_test_error.detach() / len(loader_test)
        #store_MAE += mean_test_error
        MAE_for_all_epochs.append(mean_test_error)

        mse = math.sqrt(loss / len(loader_test))
        #store_MSE +=mse
        MSE_for_all_epochs.append(mse)

        print("Test count error: %f" % mean_test_error)
        print("MSE: %f" % mse)

MSE_for_all_epochs = sum(np.MSE_for_all_epochs)
MAE_for_all_epochs = sum(np.MAE_for_all_epochs)
print(MAE_for_all_epochs)
print(MSE_for_all_epochs)

model_mae= MSE_for_all_epochs / epoch
model_mse= MAE_for_all_epochs / epoch
print("Model MAE: %f" % model_mae)
print("Model MSE: %f" % model_mse)

模型输出：

tensor(1445.2251)
1602.6452224985646
Model MAE: 534.215074
Model MSE: 481.741699

标签： pythonnumpypytorchnumpy-ndarray