使用PyTorch可以很容易地打印神经网络的结构。具体的实现方法如下：
# 建立一个简单的网络
import torch
import torch.nn as nn
class Net(nn.Module):
def __init__(self):
super(Net, self).__init__()
self.fc1 = nn.Linear(10, 20)
self.fc2 = nn.Linear(20, 30)
self.fc3 = nn.Linear(30, 10)
net = Net()
# 导入打印神经网络结构模块 from torchsummary import summary # 使用summary函数打印神经网络结构 summary(net, (10,))
----------------------------------------------------------------
Layer (type) Output Shape Param #
================================================================
Linear-1 [-1, 20] 220
Linear-2 [-1, 30] 630
Linear-3 [-1, 10] 310
================================================================
Total params: 1,160
Trainable params: 1,160
Non-trainable params: 0
----------------------------------------------------------------
从输出结果可以看出，网络结构由三层线性层组成，每层的输入输出形状，以及参数数量都能够被打印出来。
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