code: def forward(self, x):
      x = F.relu(self.conv1(x))
      x = F.max_pool2d(x, 2, 2)
      x = F.relu(self.conv2(x))
      x = F.max_pool2d(x, 2, 2)
      x = x.view(-1, 4 * 4 * 50)
      x = F.relu(self.fc1(x))
      x = self.fc2(x)
      return F.log_softmax(x, dim=1)
  
imports: import math
  import random
  import time
  import torch
  import torch.distributed
  import torch.nn
  import torch.nn.functional
  import torch.optim
  import torchvision.datasets
  import torchvision.transforms
  import fiber
  from fiber.experimental import Ring
label_desc: Use image node_id 2 for calling the Net obj's underlying member method code with example usage: obj.forward(x) and returns: F