message: Fix documentation for int16x8 quantization
diff: @@ -161,7 +161,7 @@ def representative_dataset_gen():
  yield [input]
  converter.representative_dataset = representative_dataset_gen
  <b>converter.optimizations = [tf.lite.Optimize.DEFAULT]
  -converter.target_spec.supported_ops = [tf.lite.constants.EXPERIMENTAL_TFLITE_BUILTINS_ACTIVATIONS_INT16_WEIGHTS_INT8]</b>
  +converter.target_spec.supported_ops = [tf.lite.OpsSet.EXPERIMENTAL_TFLITE_BUILTINS_ACTIVATIONS_INT16_WEIGHTS_INT8]</b>
  tflite_quant_model = converter.convert()
  </pre>
  @@ -177,7 +177,7 @@ def representative_dataset_gen():
  yield [input]
  converter.representative_dataset = representative_dataset_gen
  converter.optimizations = [tf.lite.Optimize.DEFAULT]
  -converter.target_spec.supported_ops = [tf.lite.constants.EXPERIMENTAL_TFLITE_BUILTINS_ACTIVATIONS_INT16_WEIGHTS_INT8,
  +converter.target_spec.supported_ops = [tf.lite.OpsSet.EXPERIMENTAL_TFLITE_BUILTINS_ACTIVATIONS_INT16_WEIGHTS_INT8,
  <b>tf.lite.OpsSet.TFLITE_BUILTINS</b>]
  tflite_quant_model = converter.convert()
  </pre>
  