code: def test_besselj_gradient(self):
      inputs = [
          _get_weak_tensor(
              np.random.uniform(-50.0, 50.0, size=int(1e2))
          )
      ]
      analytical, numerical = gradient_checker_v2.compute_gradient(
          special_math_ops.bessel_j0, inputs
      )
      self.assertLess(
          gradient_checker_v2.max_error(analytical, numerical), 1e-4
      )
  
      analytical, numerical = gradient_checker_v2.compute_gradient(
          special_math_ops.bessel_j1, inputs
      )
      self.assertLess(
          gradient_checker_v2.max_error(analytical, numerical), 1e-4
      )
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.framework.weak_tensor import WeakTensor
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.ops import special_math_ops
  from tensorflow.python.ops import weak_tensor_ops
  from tensorflow.python.ops import weak_tensor_test_util
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 15 for calling the BesselTest obj's underlying member method code with example usage: obj.test_besselj_gradient() without return types