code: def __init__(self, size, n_classes, n_channels=3):
      super().__init__()
  
      if not isinstance(size, list) and not isinstance(size, tuple):
          size = (size, size)
  
      self.model = nn.Linear(size[0] * size[1] * n_channels, n_classes)
  
imports: import torch
  import torch.nn
label_desc: Use image node_id 1 to create a new MockImageClassifier object from inherited base classes: nn with example: obj = MockImageClassifier(size, n_classes, n_channels)