code: def test_bias_init():
      module = nn.Linear(10, 20)
      bias_init(module)
      assert torch.mean(module.bias).item() == pytest.approx(
          0.0, rel=1e-2
      )
      assert torch.var(module.bias).item() == pytest.approx(
          0.0, rel=1e-2
      )
  
imports: import pytest
  import torch
  import torch.nn
  from kale.utils.initialize_nn import bias_init, xavier_init
  from kale.utils.seed import set_seed
label_desc: Use image node_id 2 for calling a global function with example usage: test_bias_init() without return types