code: def test_normalization_resolver(norm_tuple):
      norm_module, norm_repr, norm_args = norm_tuple
      assert isinstance(
          normalization_resolver(norm_module(*norm_args)), norm_module
      )
      assert isinstance(
          normalization_resolver(norm_repr, *norm_args), norm_module
      )
  
file_path: pytorch_geometric/test/nn/test_resolver.py
imports: import pytest
  import torch
  from torch.optim.lr_scheduler import ConstantLR, LambdaLR, ReduceLROnPlateau
  import torch_geometric
  from torch_geometric.nn.resolver import activation_resolver, aggregation_resolver, lr_scheduler_resolver, normalization_resolver, optimizer_resolver
label_desc: Use image node_id 4 for calling a global function with example usage: test_normalization_resolver(norm_tuple) without return types