class_docstr: Test GPU with cuda for Torch device.
class_docstr_tok: ["Test","GPU","with","cuda","for","Torch","device","."]
docstr: Asserts reverts to cpu after execution on gpu
docstr_tok: ["Asserts","reverts","to","cpu","after","execution","on","gpu"]
code: def test_resets(self):
      """Asserts reverts to cpu after execution on gpu"""
  
      dev = qml.device("default.qubit.torch", wires=1)
  
      x = torch.tensor(
          0.1, requires_grad=True, device=torch.device("cuda")
      )
      y = torch.tensor(
          0.2, requires_grad=True, device=torch.device("cpu")
      )
  
      with qml.queuing.AnnotatedQueue() as q1:
          qml.RX(x, wires=0)
          qml.expval(qml.PauliZ(0))
  
      tape1 = qml.tape.QuantumScript.from_queue(q1)
      res1 = dev.execute(tape1)
      assert "cuda" in dev._torch_device
      assert res1.is_cuda
  
      with qml.queuing.AnnotatedQueue() as q2:
          qml.RY(y, wires=0)
          qml.expval(qml.PauliZ(0))
  
      tape2 = qml.tape.QuantumScript.from_queue(q2)
      res2 = dev.execute(tape2)
      assert dev._torch_device == "cpu"
      assert not res2.is_cuda
  
file_path: pennylane/tests/gpu/test_gpu_torch.py
imports: import pytest
  import pennylane
label_desc: Use image node_id 4 for calling the TestTorchDevice obj's underlying member method code with example usage: obj.test_resets() without return types