docstr: Test with torch interface
code: def test_torch(self):
      """Test with torch interface"""
  
      import torch
  
      dev = qml.device("default.qubit", wires=3)
  
      @qml.matrix
      @qml.qnode(dev)
      def circuit(theta):
          qml.RZ(theta[0], wires=0)
          qml.RZ(theta[1], wires=1)
          qml.CRY(theta[2], wires=[1, 2])
          return qml.expval(qml.PauliZ(1))
  
      # input torch parameters
      theta = torch.tensor([0.1, 0.2, 0.3])
      matrix = circuit(theta)
  
      # expected matrix
      matrix1 = np.kron(
          qml.RZ(theta[0], wires=0).matrix(),
          np.kron(qml.RZ(theta[1], wires=1).matrix(), I),
      )
      matrix2 = np.kron(I, qml.CRY(theta[2], wires=[1, 2]).matrix())
      expected_matrix = matrix2 @ matrix1
  
      assert np.allclose(matrix, expected_matrix)
  
imports: from functools import reduce, partial
  from warnings import catch_warnings
  import pytest
  from gate_data import I, X, Y, Z, H, S, CNOT, Rotx, Roty
  import pennylane
  from pennylane import numpy
  from pennylane.transforms.op_transforms import OperationTransformError
label_desc: Use image node_id 2 for calling the TestInterfaces obj's underlying member method code with example usage: obj.test_torch() and returns: qml