1 Keras的model.summary()

2 Pytorch实现

2.1 安装torchsummary包

pip install torchsummary

2.2 代码

import torch
import torch.nn as nn
import torch.nn.functional as F
from torchsummary import summaryclass Net(nn.Module):def __init__(self):super(Net, self).__init__()self.conv1 = nn.Conv2d(1, 10, kernel_size=5)self.conv2 = nn.Conv2d(10, 20, kernel_size=5)self.conv2_drop = nn.Dropout2d()self.fc1 = nn.Linear(320, 50)self.fc2 = nn.Linear(50, 10)def forward(self, x):x = F.relu(F.max_pool2d(self.conv1(x), 2))x = F.relu(F.max_pool2d(self.conv2_drop(self.conv2(x)), 2))x = x.view(-1, 320)x = F.relu(self.fc1(x))x = F.dropout(x, training=self.training)x = self.fc2(x)return F.log_softmax(x, dim=1)device = torch.device("cuda" if torch.cuda.is_available() else "cpu") # PyTorch v0.4.0
model = Net().to(device)summary(model, (1, 28, 28))

2.3 运行结果

参考材料：

• Keras style model.summary() in PyTorch
• How do I print the model summary in Pytorch