pycharm 怎么输出CNN结构参数以及各层输入输出
时间: 2023-06-29 07:09:50 浏览: 63
如果你想输出CNN结构参数以及各层输入输出,可以在代码中添加一些打印语句。以下是一个示例代码:
```python
import torch
import torch.nn as nn
class CNN(nn.Module):
def __init__(self):
super(CNN, self).__init__()
self.conv1 = nn.Conv2d(3, 16, kernel_size=3, stride=1, padding=1)
self.conv2 = nn.Conv2d(16, 32, kernel_size=3, stride=1, padding=1)
self.fc1 = nn.Linear(32 * 8 * 8, 128)
self.fc2 = nn.Linear(128, 10)
def forward(self, x):
x = self.conv1(x)
x = nn.functional.relu(x)
x = nn.functional.max_pool2d(x, 2)
x = self.conv2(x)
x = nn.functional.relu(x)
x = nn.functional.max_pool2d(x, 2)
x = x.view(-1, 32 * 8 * 8)
x = self.fc1(x)
x = nn.functional.relu(x)
x = self.fc2(x)
return x
net = CNN()
print(net)
x = torch.randn(1, 3, 32, 32)
y = net(x)
print("Input shape: ", x.shape)
print("Output shape: ", y.shape)
for name, param in net.named_parameters():
print(name, param.shape)
```
这个示例代码定义了一个简单的CNN模型,并且打印了模型的结构、输入和输出的形状以及每一层的参数形状。你可以根据自己的需要修改这个示例代码,输出CNN结构参数以及各层输入输出。