from torchsummary import summary
时间: 2023-09-20 13:10:25 浏览: 52
Sorry, as an AI language model, I don't have the ability to install packages or libraries. However, I can provide you with the code for using the torchsummary package once it is installed. Here's an example:
```
import torch
from torchsummary import summary
model = torch.nn.Sequential(
torch.nn.Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)),
torch.nn.ReLU(),
torch.nn.MaxPool2d(kernel_size=2, stride=2),
torch.nn.Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)),
torch.nn.ReLU(),
torch.nn.MaxPool2d(kernel_size=2, stride=2),
torch.nn.Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)),
torch.nn.ReLU(),
torch.nn.MaxPool2d(kernel_size=2, stride=2),
torch.nn.Flatten(),
torch.nn.Linear(2304, 10),
torch.nn.Softmax(dim=1)
)
summary(model, input_size=(3, 32, 32))
```
This code defines a simple CNN model and uses the `summary` function from the `torchsummary` package to print out a summary of the model architecture and the number of parameters in each layer. The `input_size` argument specifies the size of the input tensor.