torchvision.models

from torchvision import models
alexnet = models.AlexNet()
print(alexnet)

打印结果如下所示： 

AlexNet((features): Sequential((0): Conv2d(3, 64, kernel_size=(11, 11), stride=(4, 4), padding=(2, 2))(1): ReLU(inplace=True)(2): MaxPool2d(kernel_size=3, stride=2, padding=0, dilation=1, ceil_mode=False)(3): Conv2d(64, 192, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2))(4): ReLU(inplace=True)(5): MaxPool2d(kernel_size=3, stride=2, padding=0, dilation=1, ceil_mode=False)(6): Conv2d(192, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))(7): ReLU(inplace=True)(8): Conv2d(384, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))(9): ReLU(inplace=True)(10): Conv2d(256, 256, kernel_size=(3, 3), stride