def graph_fn():
    calibration_fn = calibration_builder.build(calibration_config)
    class_predictions_with_background = tf.constant([[[0.1, 0.2, 0.3], [0.4, 0.5, 0.0]], [[0.6, 0.7, 0.8], [0.9, 1.0, 1.0]]], dtype=tf.float32)
    calibrated_scores = calibration_fn(class_predictions_with_background)
    return calibrated_scores
def graph_fn():
    calibration_fn = calibration_builder.build(calibration_config)
    class_predictions_with_background = tf.constant([[[0.1, 0.2, 0.3], [0.4, 0.5, 0.0]], [[0.6, 0.7, 0.8], [0.9, 1.0, 1.0]]], dtype=tf.float32)
    calibrated_scores = calibration_fn(class_predictions_with_background)
    return calibrated_scores