code: def __init__(self, *args, **kwargs):
      super().__init__()
  
      self.model = nn.Sequential(
          nn.Conv2d(3, 2048, kernel_size=3, padding=1),
          nn.AdaptiveAvgPool2d(output_size=(1, 1)),
      )
      for param in self.parameters():
          param.requires_grad_(False)
  
      self.eval()
  
file_path: NeuralCompression/tests/conftest.py
imports: import pytest
  import torch
  import torch.nn
  from torch import Tensor
label_desc: Use image node_id 1 to create a new MockBackbone object from inherited base classes: nn with example: obj = MockBackbone()