code: def test_implicit_predicted_scores():
      return torch.tensor(
          [
              [0.9, 0.4, 0.5, 0.7],
              [0.1, 1.2, 1.7, 0.12],
              [-1, -2, -3, 4],
          ]
      )
  
file_path: collie/tests/fixtures/metrics_fixtures.py
imports: import pytest
  import torch
  from collie.interactions import ExplicitInteractions, Interactions
label_desc: Use image node_id 2 for calling a global function with example usage: test_implicit_predicted_scores() and returns: torch