code: def forward(self, x):
      x = self.conv1(x)
      x = F.relu(x)
      x = self.conv2(x)
      x = F.relu(x)
      x = F.max_pool2d(x, 2)
      x = torch.flatten(x, 1)
      x = self.fc1(x)
      x = F.relu(x)
      x = self.fc2(x)
      output = F.log_softmax(x, dim=1)
      output = x
      return output
  
file_path: pytorch/functorch/docs/source/notebooks/_src/plot_ensembling.py
imports: import torch
  import torch.nn
  import torch.nn.functional
  from functorch import combine_state_for_ensemble
  from functorch import vmap
label_desc: Use image node_id 2 for calling the SimpleCNN obj's underlying member method code with example usage: obj.forward(x) and returns: output