How to modify the final FC layer based on the torch.model

6

My torch==0.1.9 while torchvision==0.1.7, but the APIs of torchvision.models.vgg19() seems is different from the docs. Here is the error.It’s the version problem?
I followed the solution from Pre-trained VGG16, but it also has problem.

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-9-cbf958b7f4be> in <module>()
      3 import torch.nn as nn
      4 import torch.nn.functional as F
----> 5 model = torchvision.models.vgg19(pretrained=True)
      6 for param in model.parameters():
      7     param.requires_grad = False

TypeError: vgg19() takes no arguments (1 given)