code: def forward(self, x):
      out = (self.linear1(x)).relu()
      out = (self.linear2(out)).relu()
      out = (self.linear3(out)).sigmoid()
      return out
  
imports: from dataclasses import dataclass
  from typing import Any
  import crypten
  import torch
  import torch.nn
  from torchvision import models
label_desc: Use image node_id 2 for calling the FeedForwardCrypTen obj's underlying member method code with example usage: obj.forward(x) and returns: out