code: def sample_classification_outputs() -> (
      Tuple[torch.Tensor, torch.Tensor]
  ):
      predictions = torch.tensor(
          [
              [0.02, 0.01, 0.91, 0.04, 0.01, 0.01, 0],
              [0.81, 0.03, 0.16, 0, 0, 0, 0],
              [0.4, 0.51, 0.05, 0.04, 0, 0, 0],
          ],
          dtype=torch.float,
      )
  
      predictions = (predictions + 1e-6).log()
  
      targets = torch.tensor([3, 2, 1], dtype=torch.long)
      return predictions, targets
  
imports: from typing import Tuple
  import pytest
  import torch
label_desc: Use image node_id 1 for calling a global function with example usage: sample_classification_outputs() and returns: predictions,  targets