docstr: Tests the Jacobian of clip_to_ndc.
docstr_tok: ["Tests","the","Jacobian","of","clip_to_ndc","."]
code: def test_clip_to_ndc_jacobian_random(self):
      """Tests the Jacobian of clip_to_ndc."""
      tensor_size = np.random.randint(1, 3)
      tensor_shape = np.random.randint(
          1, 5, size=(tensor_size)
      ).tolist()
      point_init = np.random.uniform(size=tensor_shape + [4])
  
      self.assert_jacobian_is_correct_fn(
          glm.clip_to_ndc, [point_init], atol=1e-04
      )
  
imports: import math
  from absl.testing import flagsaver
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_graphics.geometry.transformation import look_at
  from tensorflow_graphics.rendering.camera import perspective
  from tensorflow_graphics.rendering.opengl import math
  from tensorflow_graphics.util import test_case
label_desc: Use image node_id 15 for calling the MathTest obj's underlying member method code with example usage: obj.test_clip_to_ndc_jacobian_random() without return types