message: Fix for 16x8 doc.
diff: @@ -156,7 +156,7 @@ significantly, but only slightly increase model size.
  import tensorflow as tf
  converter = tf.lite.TFLiteConverter.from_saved_model(saved_model_dir)
  <b>converter.optimizations = [tf.lite.Optimize.DEFAULT]
  -converter.target_spec.supported_types = [tf.lite.constants.EXPERIMENTAL_TFLITE_BUILTINS_ACTIVATIONS_INT16_WEIGHTS_INT8]</b>
  +converter.target_spec.supported_ops = [tf.lite.constants.EXPERIMENTAL_TFLITE_BUILTINS_ACTIVATIONS_INT16_WEIGHTS_INT8]</b>
  tflite_quant_model = converter.convert()
  </pre>
  @@ -167,7 +167,7 @@ The following option should be added to the target_spec to allow this.
  import tensorflow as tf
  converter = tf.lite.TFLiteConverter.from_saved_model(saved_model_dir)
  converter.optimizations = [tf.lite.Optimize.DEFAULT]
  -converter.target_spec.supported_types = [tf.lite.constants.EXPERIMENTAL_TFLITE_BUILTINS_ACTIVATIONS_INT16_WEIGHTS_INT8,
  +converter.target_spec.supported_ops = [tf.lite.constants.EXPERIMENTAL_TFLITE_BUILTINS_ACTIVATIONS_INT16_WEIGHTS_INT8,
  <b>tf.lite.OpsSet.TFLITE_BUILTINS</b>]
  tflite_quant_model = converter.convert()
  </pre>
  