code: def test_independent_normal():
      loc = torch.as_tensor([[0.3, 0.7], [0.2, 0.4]])
      scale = torch.as_tensor([[0.1, 0.2], [0.3, 0.8]])
      dist = torch.distributions.Independent(
          torch.distributions.Normal(loc, scale), 1
      )
      mode = mode_of_distribution(dist)
      torch_assert_allclose(mode, loc)
  
file_path: pfrl/tests/utils_tests/test_mode_of_distribution.py
imports: import math
  import torch
  from pfrl.testing import torch_assert_allclose
  from pfrl.utils.mode_of_distribution import mode_of_distribution
label_desc: Use image node_id 5 for calling a global function with example usage: test_independent_normal() without return types