class_docstr: Tests that the template is compatible with all interfaces, including the computation
  of gradients.
class_docstr_tok: ["Tests","that","the","template","is","compatible","with","all","interfaces",",","including","the","computation","of","gradients","."]
docstr: Tests the torch interface.
docstr_tok: ["Tests","the","torch","interface","."]
code: def test_torch(self):
      """Tests the torch interface."""
      import torch
  
      dev = qml.device("default.qubit", wires=2)
  
      circuit_default = qml.QNode(manual_rx_circuit, dev)
      circuit_torch = qml.QNode(select_rx_circuit, dev)
  
      input_default = [0.5, 0.2]
      input_torch = torch.tensor(input_default, requires_grad=True)
  
      assert qml.math.allclose(
          qml.matrix(circuit_default)(input_default),
          qml.matrix(circuit_torch)(input_torch),
      )
      assert (
          qml.math.get_interface(qml.matrix(circuit_torch)(input_torch))
          == "torch"
      )
  
      res = circuit_default(input_torch)
      res.backward()
      grads = [input_torch.grad]
  
      res2 = circuit_torch(input_torch)
      res2.backward()
      grads2 = [input_torch.grad]
  
      assert qml.math.allclose(grads[0], grads2[0])
  
imports: import copy
  import pytest
  import numpy
  from pennylane import numpy
  import pennylane
label_desc: Use image node_id 4 for calling the TestInterfaces obj's underlying member method code with example usage: obj.test_torch() without return types