code: def forward(self, x):
      return torch.sigmoid(self.linear(x))
  
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 LogisticRegression obj's underlying member method code with example usage: obj.forward(x) and returns: torch