code: def test_compute(criterion):
      loss = Loss(criterion)
  
      y_pred, y, expected_loss = y_test_1()
      loss.update((y_pred, y))
      assert_almost_equal(loss.compute(), expected_loss)
  
      y_pred, y, expected_loss = y_test_2()
      loss.update((y_pred, y))
      assert_almost_equal(loss.compute(), expected_loss)
  
imports: import os
  from unittest.mock import MagicMock
  import pytest
  import torch
  from numpy.testing import assert_almost_equal
  from torch import nn
  from torch.nn.functional import nll_loss
  import ignite.distributed
  from ignite.engine import State
  from ignite.exceptions import NotComputableError
  from ignite.metrics import Loss, Precision
label_desc: Use image node_id 7 for calling a global function with example usage: test_compute(criterion) without return types