class_docstr: Tests for the matrix of parametrized qutrit operations.
docstr: Test that compute_matrix works with tensorflow variables
code: def test_matrix_tf(self, op, theta, subspace, expected, tol):
      """Test that compute_matrix works with tensorflow variables"""
      import tensorflow as tf
  
      theta = tf.Variable(theta)
      expected = tf.convert_to_tensor(expected)
      assert qml.math.allclose(
          op.compute_matrix(theta, subspace=subspace),
          expected,
          atol=tol,
          rtol=0,
      )
      assert qml.math.allclose(
          op(theta, wires=0, subspace=subspace).matrix(),
          expected,
          atol=tol,
          rtol=0,
      )
  
imports: import copy
  from functools import reduce
  import pytest
  import numpy
  from gate_data import TSHIFT, TCLOCK
  from pennylane import numpy
  import pennylane
  from pennylane.wires import Wires
label_desc: Use image node_id 2 for calling the TestMatrix obj's underlying member method code with example usage: obj.test_matrix_tf(op, theta, subspace, expected, tol) without return types