code: def forward(self, x):
      x = F.relu(F.max_pool2d(self.conv1(x), 2))
      x = F.relu(F.max_pool2d(self.conv2(x), 2))
      x = x.view(-1, 320)
      x = F.relu(self.fc1(x))
      x = self.fc2(x)
      return x
  
file_path: pyro/examples/contrib/gp/sv-dkl.py
imports: import argparse
  import time
  import torch
  import torch.nn
  import torch.nn.functional
  from torchvision import transforms
  import pyro
  import pyro.contrib.gp
  import pyro.infer
  from pyro.contrib.examples.util import get_data_directory, get_data_loader
label_desc: Use image node_id 2 for calling the CNN obj's underlying member method code with example usage: obj.forward(x) and returns: x