code: def test_torchmodel_constructor(self):
      class TwoInputModel(nn.Module):
          def __init__(self):
              super(TwoInputModel, self).__init__()
              self.dense1 = nn.Linear(2, 2)
              self.dense2 = nn.Linear(3, 1)
  
          def forward(self, x1, x2):
              x1 = self.dense1(x1)
              x2 = self.dense2(x2)
              return x1, x2
  
      TorchModel.from_pytorch(TwoInputModel())
  
imports: import torch
  from torch import nn
  import torchvision
  import pytest
  from unittest import TestCase
  from zoo.pipeline.api.torch import TorchModel, TorchLoss
  from zoo.common.nncontext import *
  from torch.utils.data import TensorDataset, DataLoader
  from zoo.pipeline.estimator import *
  from zoo.pipeline.api.keras.optimizers import Adam
  from bigdl.optim.optimizer import MaxEpoch, EveryEpoch
  from zoo.pipeline.api.keras.metrics import Accuracy
  from zoo.feature.common import FeatureSet
  from bigdl.nn.layer import Model
label_desc: Use image node_id 3 for calling the TestPytorch obj's underlying member method code with example usage: obj.test_torchmodel_constructor() and returns: x1,  x2