class CNN(nn.Module): def __init__(self): # Inherit the parent class to the child class super().__init__() self.conv = nn.Sequential( nn.Conv2d(in_channels=3, out_channels=16, kernel_size=3, stride=1, padding=1), # (i-f+2p)/s + 1 =(32-3+2)/1 + 1=32 nn.MaxPool2d(kernel_size=2, stride=2), # (M-P)/s+1=(32-2)/2+1=16 nn.ReLU(), nn.Conv2d(in_channels=16, out_channels=32, kernel_size=3, stride=1, padding=1), nn.MaxPool2d(kernel_size=2, stride=2), nn.ReLU()) self.fc = nn.Sequential( nn.Linear(in_features=32 * 8 * 8, out_features=64), nn.ReLU(), nn.Linear(in_features=64, out_features=10)) def forward(self, x): x = self.conv(x) x = x.view(x.size(0), -1) # flatten the outputs of our self.conv x = self.fc(x) return x
时间: 2024-01-15 19:04:12 浏览: 33
这段代码是一个卷积神经网络(CNN)的模型定义。它包含了一个卷积层和一个全连接层,其中卷积层包含了两个卷积-池化层(Convolutional and MaxPooling layers),用于提取输入图像的特征,全连接层则用于将这些特征映射到输出类别。在 forward 函数中,输入的张量 x 经过卷积层后被展开成一个一维向量,然后通过全连接层得到最终的输出。
相关问题
super().__init__(name
, age, gender)
The above line of code is calling the constructor of the parent class and passing the arguments `name`, `age`, and `gender`. This is done using the `super()` function, which allows a subclass to inherit properties and methods from its parent class. The `__init__()` method is a special method in Python classes that is called when an object is created, and it initializes the object's attributes. By calling `super().__init__()`, the subclass is able to inherit and set the attributes defined in the parent class.
Error: Class contains Q_OBJECT macro but does not inherit from QObject
这个错误通常是因为在使用Qt的信号和槽机制时,Q_OBJECT宏被添加到了一个非QObject的类中。因为只有继承自QObject的类才能使用信号和槽机制。
要解决这个问题,需要检查你的类是否继承自QObject。如果没有继承自QObject,那么需要将该类继承自QObject,并且在类的声明中添加Q_OBJECT宏。例如:
```c++
class MyClass : public QObject {
Q_OBJECT
public:
// ...
signals:
void mySignal();
public slots:
void mySlot();
};
```
如果你的类已经继承自QObject,但是仍然出现这个错误,那么可能是因为你的类头文件没有包含QObject头文件。在你的类头文件中添加以下代码:
```c++
#include <QObject>
```
重新编译你的代码,这个错误就应该会消失了。