code: def test_activation_resolver():
      assert isinstance(
          activation_resolver(torch.nn.ELU()), torch.nn.ELU
      )
      assert isinstance(
          activation_resolver(torch.nn.ReLU()), torch.nn.ReLU
      )
      assert isinstance(
          activation_resolver(torch.nn.PReLU()), torch.nn.PReLU
      )
  
      assert isinstance(activation_resolver("elu"), torch.nn.ELU)
      assert isinstance(activation_resolver("relu"), torch.nn.ReLU)
      assert isinstance(activation_resolver("prelu"), torch.nn.PReLU)
  
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 1 for calling a global function with example usage: test_activation_resolver() without return types