我按照书上教程用python中的pytorch框架写了一个神经网络代码，但是一直报错优化器参数为空列表，代码和书上的一模一样，不知道哪里出来问题，希望各位能帮帮忙，代码和报错如下：
``` import numpy as np import matplotlib.pyplot as plt import torch import torch.nn as nn
数据准备x = torch.unsqueeze(torch.linspace(-np.pi,np.pi,100),dim=1) y = torch.sin(x) + 0.5 * torch.rand(x.size())
构建网络class Net(nn.Module): def int(self): super(Net,self).init() self.predict = nn.Sequential( nn.Linear(1,10), nn.ReLU(), nn.Linear(10,1) ) def forward(self,x): prediction = self.predict(x) return prediction
设置优化器和损失函数net = Net() optimizer = torch.optim.SGD(net.parameters(),lr=0.05) loss_function = nn.MSELoss plt.ion()
训练网络for epoch in range(1000): out = net(x) loss = lossfunction(out,y) optimizer.zerograd() loss.backward() optimizer.step() if epoch % 25 == 0: plt.cla() plt.scatter(x,y) plt.plot(x,out.data.numpy,c="r",lw=5) plt.text(0.5,0,f"loss={loss}",fontdict={"size":20,"color":"red"}) plt.pause(0.1) plt.show() plt.ioff() plt.show()
```
运行结果及报错内容```
Traceback (most recent call last): File "E:PythonLearningnn_regression.py", line 36, in optimizer = torch.optim.SGD(net.parameters(),lr=0.05) File "D:ProgramDataAnaconda3libsite-packagestorchoptimsgd.py", line 101, in init super(SGD, self). init(params, defaults) File "D:ProgramDataAnaconda3libsite-packagestorchoptimoptimizer.py", line 49, in init raise ValueError("optimizer got an empty parameter list") ValueError: optimizer got an empty parameter list ```
谢谢大家
