code: def __init__(self):
      super().__init__()
      self.fc1 = nn.Linear(1, 1, bias=False)
      self.fc1.weight.data.fill_(1.0)
  
imports: import os
  import platform
  import pytest
  from unittest import TestCase
  import torch
  from torch import nn
  from torch.utils.data import DataLoader, TensorDataset
  from test.pytorch.utils._train_torch_lightning import create_data_loader, data_transform
  from bigdl.nano.pytorch import TorchNano
  from bigdl.nano.pytorch.vision.models import vision
label_desc: Use image node_id 1 to create a new LinearModel object from inherited base classes: nn with example: obj = LinearModel()