docstr: Select conv1_1 ~ conv5_1 activation maps.
docstr_tok: ["Select","conv1_1","~","conv5_1","activation","maps","."]
code: def __init__(self):
      """Select conv1_1 ~ conv5_1 activation maps."""
      super(VGGNet, self).__init__()
      self.select = ["0", "5", "10", "19", "28"]
      self.vgg = models.vgg19(pretrained=True).features
  
file_path: pytorch-tutorial/tutorials/03-advanced/neural_style_transfer/main.py
imports: from __future__ import division
  from torchvision import models
  from torchvision import transforms
  from PIL import Image
  import argparse
  import torch
  import torchvision
  import torch.nn
  import numpy
label_desc: Use image node_id 1 to create a new VGGNet object from inherited base classes: nn with example: obj = VGGNet()