docstr: Tests the Jacobian of model_to_eye.
docstr_tok: ["Tests","the","Jacobian","of","model_to_eye","."]
code: def test_model_to_eye_jacobian_random(self):
      """Tests the Jacobian of model_to_eye."""
      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])
      camera_position_init = np.random.uniform(size=tensor_shape + [3])
      look_at_init = np.random.uniform(size=tensor_shape + [3])
      up_vector_init = np.random.uniform(size=tensor_shape + [3])
  
      self.assert_jacobian_is_correct_fn(
          glm.model_to_eye,
          [
              point_init,
              camera_position_init,
              look_at_init,
              up_vector_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 5 for calling the MathTest obj's underlying member method code with example usage: obj.test_model_to_eye_jacobian_random() without return types