code: def test_soft_target_cross_entropy_integer_label(self):
      config = self._get_config()
      crit = SoftTargetCrossEntropyLoss.from_config(config)
      outputs = self._get_outputs()
      targets = torch.tensor([4])
      self.assertAlmostEqual(crit(outputs, targets).item(), 5.01097918)
  
file_path: ClassyVision/test/losses_soft_target_cross_entropy_loss_test.py
imports: import copy
  import unittest
  import torch
  from classy_vision.losses import build_loss, SoftTargetCrossEntropyLoss
label_desc: Use image node_id 8 for calling the TestSoftTargetCrossEntropyLoss obj's underlying member method code with example usage: obj.test_soft_target_cross_entropy_integer_label() without return types