code: def __init__(self):
      super(SimpleModel, self).__init__()
      self.conv = torch.nn.Conv2d(3, 8, kernel_size=10)
      self.relu = torch.nn.ReLU()
      self.dropout = torch.nn.Dropout()
      self.linear = torch.nn.Sequential(
          torch.nn.Linear(8, 8),
          torch.nn.Dropout(p=0.5),
          torch.nn.Linear(8, 2),
      )
  
file_path: baal/tests/bayesian/dropconnect_test.py
imports: import warnings
  import pytest
  import torch
  from baal.bayesian.weight_drop import patch_module, WeightDropLinear, MCDropoutConnectModule, WeightDropConv2d
label_desc: Use image node_id 1 to create a new SimpleModel object from inherited base classes: torch.nn with example: obj = SimpleModel()