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 os
  from unittest import TestCase
  import numpy
  import pytest
  import torch
  import torch.nn
  from torch.utils.data import Dataset, DataLoader
  from zoo.orca.automl.auto_estimator import AutoEstimator
  from zoo.orca.automl.pytorch_utils import LR_NAME
  from zoo.orca.automl import hp
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