code: def jitter(points, stddev=0.01, clip=0.05):
      """Randomly jitters points with (clipped) Gaussian noise."""
      assert stddev > 0, "jitter needs a positive sigma"
      assert clip > 0, "jitter needs a positive clip"
      noise = tf.random.normal(points.shape, stddev=stddev)
      noise = tf.clip_by_value(noise, -clip, +clip)
      return points + noise
  
imports: import numpy
  import tensorflow
  from tensorflow_graphics.geometry.transformation import rotation_matrix_3d
label_desc: Use image node_id 1 for calling a global function with example usage: jitter(points, stddev, clip) and returns: unknown