code: def test_graph_tensor_values(self):
      device = (
          torch.device("cuda:0")
          if torch.cuda.is_available()
          else torch.device("cpu:0")
      )
      net = torch.nn.PReLU().to(device)
      with eval_mode(net):
          pred = net(
              torch.tensor([[0.0, 1.0], [1.0, 2.0]], device=device)
          )
      input_data = {
          "pred": pred,
          "seg": torch.tensor([[0.0, 1.0], [1.0, 2.0]], device=device),
      }
      result = CopyItemsd(keys="pred", times=1, names="pred_1")(
          input_data
      )
      self.assertTrue("pred_1" in result)
      result["pred_1"] += 1.0
      assert_allclose(
          result["pred"],
          torch.tensor([[0.0, 1.0], [1.0, 2.0]], device=device),
      )
      assert_allclose(
          result["pred_1"],
          torch.tensor([[1.0, 2.0], [2.0, 3.0]], device=device),
      )
  
file_path: MONAI/tests/test_copy_itemsd.py
imports: from __future__ import annotations
  import unittest
  import numpy
  import torch
  from parameterized import parameterized
  from monai.networks import eval_mode
  from monai.transforms import CopyItemsd
  from monai.utils import ensure_tuple
  from tests.utils import assert_allclose
label_desc: Use image node_id 5 for calling the TestCopyItemsd obj's underlying member method code with example usage: obj.test_graph_tensor_values() without return types