code: def forward(self, x1, x2):
      y1 = self.linear1(x1)
      y2 = self.linear2(x2)
      return y1.squeeze()
  
imports: from unittest import TestCase
  import operator
  import pytest
  import torch
  from torch.utils.data import TensorDataset, DataLoader, Dataset
  from torch import nn
  import torchmetrics
  from bigdl.nano.pytorch import Trainer
  from bigdl.nano.utils.common import compare_version
label_desc: Use image node_id 2 for calling the ModelWithMultipleInputs obj's underlying member method code with example usage: obj.forward(x1, x2) and returns: y1