code: def test_multiple_distributed_runs(self):
      logits = torch.tensor(
          [[1, 1, 1, 1], [1, 1, 1, 1]], dtype=torch.float
      )
      logits = [logits[0], logits[1]]
      metric_kwargs = {"logits": logits}
      desired_values = {"entropy": 1.38629436}
      run_distributed_test(
          [-1, -1],
          multiple_runs,
          Entropy(),
          metric_kwargs,
          desired_values,
          exact=False,
      )
  
file_path: allennlp/tests/training/metrics/entropy_test.py
imports: from typing import Any, Dict, List, Tuple, Union
  import torch
  from torch.testing import assert_allclose
  from allennlp.common.testing import AllenNlpTestCase, multi_device, global_distributed_metric, run_distributed_test
  from allennlp.training.metrics import Entropy
label_desc: Use image node_id 5 for calling the EntropyTest obj's underlying member method code with example usage: obj.test_multiple_distributed_runs() without return types