code: def __init__(self):
      super().__init__()
      self.dense1 = nn.Linear(10, 1)
      self.dense2 = nn.Linear(10, 1)
  
imports: from unittest import TestCase
  import pytest
  import torch
  from torch import nn
  from torch.utils.data import TensorDataset, DataLoader
  from bigdl.nano.pytorch import InferenceOptimizer
  from torchvision.models.resnet import resnet18
  from unittest.mock import PropertyMock, patch
  from bigdl.nano.utils.common import _avx512_checker
  import tempfile
  from typing import List
  from bigdl.nano.utils.pytorch import TORCH_VERSION_LESS_2_0
  from bigdl.nano.utils.common import compare_version, _avx512_checker, _avx2_checker
  import operator
  import numpy
label_desc: Use image node_id 1 to create a new MultipleInputNet object from inherited base classes: nn with example: obj = MultipleInputNet()