'Net' object has no attribute 'parameter'
时间: 2023-08-11 16:05:41 浏览: 39
### 回答1:
The error message "Net object has no attribute parameter" typically occurs when trying to access the parameters of a neural network using the wrong attribute name or when the network has no defined parameters.
To access the parameters of a PyTorch neural network, you can use the `parameters()` method, like this:
```
net = Net()
params = list(net.parameters())
```
Make sure that the `Net` class has a `parameters()` method defined and that it returns the network's parameters as a list or generator object.
### 回答2:
"Net"对象没有属性"parameter"。
相关问题
AttributeError: 'Net' object has no attribute 'parameter'
根据提供的引用内容,"AttributeError: 'Net' object has no attribute 'parameter'"这个错误通常是由于在代码中使用了一个名为"Net"的对象,但是该对象没有名为"parameter"的属性或方法。解决这个问题的方法是检查代码中是否正确地定义了"Net"对象,并确保该对象具有所需的属性和方法。
以下是一个示例代码,用于演示如何定义一个名为"Net"的对象,并在该对象中添加一个名为"parameter"的属性:
```python
class Net:
def __init__(self):
self.parameter = 0
net = Net()
print(net.parameter) # 输出:0
```
object has no attribute 'liner'
引用:关于使用LinearRegression类中_residues属性报错“attributeerror: 'linearregression' object has no attribute '_residues'” 当使用sklearn库中liner_model进行线性回归预测数据时计算数据训练集残差平方和使LinearRegression的_residues属性时报错LinearRegression中没有属性_residues model = LinearRegression() hypothesis = model.fit(xTrain, yTrain) hpyTrain = model.predict(xTrain) hpyTest = model.predict(xTest) # 针对测试数据进行预测 print("Python计算的训练数据集残差平方和", model._residues) 原因是scikit-learn库版本过高,当前使用的是1.1.2,更改为1.0.2时结果正确输出。
根据你提供的引用内容,报错"object has no attribute 'liner'"是因为你在代码中使用了'liner'这个属性,但实际上该对象没有这个属性。要解决这个问题,你可以检查代码中是否有拼写错误,或者确认该对象确实应该具有这个属性。同时,你可以检查你所使用的库的版本是否与代码兼容,如果不兼容,可以尝试降低库的版本或更新代码以适应新版本的库。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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