`tf.keras.mixed_precision.LossScaleOptimizer`

### `tf.lite`:

*   `TFLiteConverter`:
    *   Support optional flags `inference_input_type` and
        `inference_output_type` for full integer quantized models. This allows
        users to modify the model input and output type to integer types
        (`tf.int8`, `tf.uint8`) instead of defaulting to float type
        (`tf.float32`).