title: TensorFlow - Different bit-width quantization between layers
body: <p>Does TensorFlow support different bit-width quantization between layers, or is it mandatory that the same technique is performed at the whole model?</p>
  <p>For example, let's say I perform <code>16-bit</code> quantization at <code>n</code> layer. Can I perform <code>8-bit</code> quantization at <code>n+1</code> layer?</p>