code: def test_data(request):
      return [
          (
              torch.empty(10).uniform_(0, 10),
              torch.empty(10).uniform_(0, 10),
              1,
          ),
          (
              torch.empty(10, 1).uniform_(-10, 10),
              torch.empty(10, 1).uniform_(-10, 10),
              1,
          ),
          # updated batches
          (
              torch.empty(50).uniform_(0, 10),
              torch.empty(50).uniform_(0, 10),
              16,
          ),
          (
              torch.empty(50, 1).uniform_(-10, 10),
              torch.empty(50, 1).uniform_(-10, 10),
              16,
          ),
      ][request.param]
  
file_path: ignite/tests/ignite/metrics/test_root_mean_squared_error.py
imports: import os
  import numpy
  import pytest
  import torch
  import ignite.distributed
  from ignite.exceptions import NotComputableError
  from ignite.metrics import RootMeanSquaredError
label_desc: Use image node_id 2 for calling a global function with example usage: test_data(request) and returns: list