docstr: Tests the Jacobian of ndc_to_screen.
docstr_tok: ["Tests","the","Jacobian","of","ndc_to_screen","."]
code: def test_ndc_to_screen_jacobian_random(self):
      """Tests the Jacobian of ndc_to_screen."""
      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 + [3])
      lower_left_corner_init = np.random.uniform(
          size=tensor_shape + [2]
      )
      screen_dimensions_init = np.random.uniform(
          1.0, 1000.0, size=tensor_shape + [2]
      )
      near_init = np.random.uniform(1.0, 10.0, size=tensor_shape + [1])
      far_init = near_init + np.random.uniform(0.1, 1.0, size=(1,))
  
      self.assert_jacobian_is_correct_fn(
          glm.ndc_to_screen,
          [
              point_init,
              lower_left_corner_init,
              screen_dimensions_init,
              near_init,
              far_init,
          ],
      )
  
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 23 for calling the MathTest obj's underlying member method code with example usage: obj.test_ndc_to_screen_jacobian_random() without return types