code: def _double_factorial_loop_condition(n, result, two):
      del result  # Unused
      return tf.cast(
          tf.math.count_nonzero(tf.greater_equal(n, two)), tf.bool
      )
  
file_path: graphics/tensorflow_graphics/math/math_helpers.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import tensorflow
  from tensorflow_graphics.util import asserts
  from tensorflow_graphics.util import export_api
  from tensorflow_graphics.util import safe_ops
  from tensorflow_graphics.util import shape
  from tensorflow_graphics.util.type_alias import Float
  from tensorflow_graphics.util.type_alias import TensorLike
label_desc: Use image node_id 3 for calling a global function with example usage: _double_factorial_loop_condition(n, result, two) and returns: tf