19,524
社区成员
发帖
与我相关
我的任务
分享# 加载模型权重
runner.load_model(saved_dir)
mse = runner.evaluate(test_dataset)
print('MSE:', mse.item())
AssertionError Traceback (most recent call last) ~\AppData\Local\Temp\ipykernel_7024\2465723839.py in 1 # 加载模型权重 2 runner.load_model(saved_dir) ----> 3 mse = runner.evaluate(test_dataset) 4 print('MSE:', mse.item()) ~\AppData\Local\Temp\ipykernel_7024\1235776458.py in evaluate(self, dataset, **kwargs) 24 X,y = dataset 25 ---> 26 y_pred = self.model(X) 27 result = self.metric(y_pred, y) 28 c:\Users\86155\Desktop\practice-in-paddle-main\chap2机器学习概述\nndl\op.py in __call__(self, X) 31 32 def __call__(self, X): ---> 33 return self.forward(X) 34 35 # 前向函数 c:\Users\86155\Desktop\practice-in-paddle-main\chap2机器学习概述\nndl\op.py in forward(self, X) 48 return paddle.full(shape=[N,1], fill_value=self.params['b']) 49 ---> 50 assert D==self.input_size # 输入数据维度合法性验证 51 52 # 使用paddle.matmul计算两个tensor的乘积 AssertionError: