code: def test_storage_tensor_methods():
      x = torch.randn(5)
      storage = BaseStorage({"x": x})
  
      storage = storage.clone()
      assert storage.x.data_ptr() != x.data_ptr()
  
      storage = storage.contiguous()
      assert storage.x.is_contiguous()
  
      storage = storage.to("cpu")
      assert storage.x.device == torch.device("cpu")
  
      storage = storage.cpu()
      assert storage.x.device == torch.device("cpu")
  
      if torch.cuda.is_available():
          storage = storage.pin_memory()
          assert storage.x.is_pinned()
  
      storage = storage.share_memory_()
      assert storage.x.is_shared
  
      storage = storage.detach_()
      assert not storage.x.requires_grad
  
      storage = storage.detach()
      assert not storage.x.requires_grad
  
      storage = storage.requires_grad_()
      assert storage.x.requires_grad
  
imports: import copy
  from typing import Any
  import pytest
  import torch
  from torch_geometric.data.storage import BaseStorage
label_desc: Use image node_id 2 for calling a global function with example usage: test_storage_tensor_methods() without return types