code: def forward(self, x):
      output = torch.relu(self.linear1(x))
      output = self.linear2(output)
      y_pred = torch.sigmoid(output)
      return y_pred
  
file_path: pytorch-optimizer/tests/test_optimizer_with_nn.py
imports: import numpy
  import pytest
  import torch
  from torch import nn
  import torch_optimizer
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: y_pred