code: def get_dim_0():
      """Test case for dim=0 for 2D input."""
      return (
          0,
          [1, 3, 33, 66, 90],
          torch.tensor([0.1, 0.2, 0.1, 0.45]).repeat(100, 1),
          [
              torch.tensor(0.01),
              torch.tensor(0.03),
              torch.tensor(0.33),
              torch.tensor(0.66),
              torch.tensor(0.9),
          ],
      )
  
file_path: fairscale/tests/experimental/wgit/test_signal_sparsity_profiling.py
imports: import time
  import pytest
  import torch
  from fairscale.experimental.wgit.signal_sparsity_profiling import EnergyConcentrationProfile
  from fairscale.fair_dev.testing.testing import objects_are_equal, skip_if_no_cuda
label_desc: Use image node_id 3 for calling a global function with example usage: get_dim_0() and returns: int,  list,  torch,  list