code: def test_hetero_linear_initializer():
      lin = HeteroLinear(
          16,
          32,
          num_types=3,
          weight_initializer="glorot",
          bias_initializer="zeros",
      )
      assert torch.equal(lin.bias, torch.zeros_like(lin.bias))
  
imports: import copy
  import warnings
  from typing import List
  import pytest
  import torch
  from torch import Tensor
  from torch.nn import Linear
  from torch.nn.parameter import UninitializedParameter
  import torch_geometric.backend
  from torch_geometric.nn import HeteroDictLinear, HeteroLinear, Linear
  from torch_geometric.profile import benchmark
  from torch_geometric.testing import withCUDA, withPackage
  from torch_geometric.typing import pyg_lib
  from torch_geometric.utils import cumsum
label_desc: Use image node_id 8 for calling a global function with example usage: test_hetero_linear_initializer() without return types