code: def __init__(self):
      super().__init__()
      self.model = nn.Sequential(
          nn.Conv2d(3, 1, kernel_size=16, stride=16), nn.Flatten()
      )
  
imports: import sys
  import pytest
  import torch
  from torch import nn
  from torch.utils.data import Dataset
  from kornia.x import Configuration, ObjectDetectionTrainer
  from kornia.x.trainer import Accelerator
label_desc: Use image node_id 1 to create a new DummyModel object from inherited base classes: nn with example: obj = DummyModel()