message: Fixes a bug in example code
  The sample implementation of representative_dataset() in the full integer quantization section has a faulty cast to tf.float32.
diff: @@ -68,7 +68,7 @@ samples) of the training or validation data. Refer to the
  <pre>
  def representative_dataset():
  for data in tf.data.Dataset.from_tensor_slices((images)).batch(1).take(100):
  - yield [data.astype(tf.float32)]
  + yield [tf.dtypes.cast(data, tf.float32)]
  </pre>
  For testing purposes, you can use a dummy dataset as follows:
  