code: def forward(self, x):
      out = x.view(x.size(0), -1)
      out = self.linear1(out)
      out = self.relu1(out)
      out = self.linear2(out)
      out = self.relu2(out)
      out = self.linear3(out)
      return out
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from advertorch.attacks import LocalSearchAttack
  from advertorch.attacks import SinglePixelAttack
  from advertorch.attacks import SpatialTransformAttack
  from advertorch.attacks import JacobianSaliencyMapAttack
  from advertorch.attacks import LBFGSAttack
  from advertorch.attacks import CarliniWagnerL2Attack
  from advertorch.attacks import DDNL2Attack
  from advertorch.attacks import FastFeatureAttack
  from advertorch.attacks import MomentumIterativeAttack
  from advertorch.attacks import LinfPGDAttack
  from advertorch.attacks import SparseL1DescentAttack
  from advertorch.attacks import L1PGDAttack
  from advertorch.attacks import L2BasicIterativeAttack
  from advertorch.attacks import GradientAttack
  from advertorch.attacks import LinfBasicIterativeAttack
  from advertorch.attacks import GradientSignAttack
  from advertorch.attacks import ElasticNetL1Attack
  from advertorch.attacks import LinfSPSAAttack
  from advertorch.attacks import LinfFABAttack
  from advertorch.attacks import L2FABAttack
  from advertorch.attacks import L1FABAttack
  from advertorch.attacks import DeepfoolLinfAttack
  from advertorch.defenses import JPEGFilter
  from advertorch.defenses import BitSqueezing
  from advertorch.defenses import MedianSmoothing2D
  from advertorch.defenses import AverageSmoothing2D
  from advertorch.defenses import GaussianSmoothing2D
  from advertorch.defenses import BinaryFilter
  from advertorch.attacks import LinfGenAttack
  from advertorch.attacks import L2GenAttack
  from advertorch.attacks import LinfNAttack
  from advertorch.attacks import L2NAttack
  from advertorch.attacks import BanditAttack
  from advertorch.attacks import NESAttack
label_desc: Use image node_id 2 for calling the MLP obj's underlying member method code with example usage: obj.forward(x) and returns: out