code: def forward(self, x):
      x = self.pool(F.relu(self.conv1(x)))
      x = self.pool(F.relu(self.conv2(x)))
      x = x.view(-1, 16 * 4 * 4)
      x = F.relu(self.fc1(x))
      x = F.relu(self.fc2(x))
      x = self.fc3(x)
      return x
  
imports: from __future__ import print_function
  import argparse
  import numpy
  import matplotlib.pyplot
  import torch
  import torchvision
  import torchvision.transforms
  import torch.nn
  import torch.nn.functional
  import torch.optim
  from torch.utils.tensorboard import SummaryWriter
  from zoo.orca import init_orca_context, stop_orca_context
  from zoo.orca.learn.pytorch import Estimator
  from zoo.orca.learn.metrics import Accuracy
  from zoo.orca.learn.trigger import EveryEpoch
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: x