class_docstr: A subnetwork that downsamples a 2D feature map with strided convolutions.
class_docstr_tok: ["A","subnetwork","that","downsamples","a","2D","feature","map","with","strided","convolutions","."]
code: def forward(self, input):
      return self.downs(input)
  
imports: import torch
  import torch.nn
  import torchvision.utils
  from torch.nn import functional
label_desc: Use image node_id 2 for calling the DownsamplingNet obj's underlying member method code with example usage: obj.forward(input) and returns: self