class_docstr: Test that using the QNode with Torch integrates with the PennyLane stack
class_docstr_tok: ["Test","that","using","the","QNode","with","Torch","integrates","with","the","PennyLane","stack"]
docstr: Test setting jacobian options
docstr_tok: ["Test","setting","jacobian","options"]
code: def test_jacobian_options(
      self,
      interface,
      dev,
      diff_method,
      grad_on_execution,
      device_vjp,
  ):
      """Test setting jacobian options"""
      if diff_method not in {"finite-diff", "spsa"}:
          pytest.skip("Test only works with finite-diff and spsa")
  
      a = torch.tensor([0.1, 0.2], requires_grad=True)
  
      @qnode(
          dev,
          diff_method=diff_method,
          grad_on_execution=grad_on_execution,
          interface=interface,
          h=1e-8,
          approx_order=2,
          device_vjp=device_vjp,
      )
      def circuit(a):
          qml.RY(a[0], wires=0)
          qml.RX(a[1], wires=0)
          return qml.expval(qml.PauliZ(0))
  
      res = circuit(a)
      res.backward()
  
imports: import numpy
  import pytest
  import pennylane
  from pennylane import qnode
  from pennylane.devices import DefaultQubit
label_desc: Use image node_id 6 for calling the TestQNode obj's underlying member method code with example usage: obj.test_jacobian_options(interface, dev, diff_method, grad_on_execution, device_vjp) and returns: qml