code: def forward(self, input_):
      a1 = self.fc1(input_)
      h1 = self.relu1(a1)
      dout = self.dout(h1)
      a2 = self.fc2(dout)
      h2 = self.prelu(a2)
      a3 = self.out(h2)
      y = self.out_act(a3)
      return y
  
imports: import pytest
  import logging
  from unittest import TestCase
  import ray
  from ray.data import Dataset
  import torch.nn
  import torch.optim
  from bigdl.orca import init_orca_context, stop_orca_context
  from bigdl.orca.learn.pytorch import Estimator
  from bigdl.orca.learn.metrics import MSE
label_desc: Use image node_id 2 for calling the Net obj's underlying member method code with example usage: obj.forward(input_) and returns: y