message: Update cmd line quantization documentation link.
diff: @@ -94,11 +94,12 @@ tflite_convert \
  ### Convert a TensorFlow GraphDef for quantized inference <a name="graphdef_quant"></a>
  The TensorFlow Lite Converter is compatible with fixed point quantization models
  -described [here](https://www.tensorflow.org/performance/quantization). These are
  -float models with `FakeQuant*` ops inserted at the boundaries of fused layers
  -to record min-max range information. This generates a quantized inference
  -workload that reproduces the quantization behavior that was used during
  -training.
  +described
  +[here](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/q
  +uantize/README.md). These are float models with `FakeQuant*` ops inserted at the
  +boundaries of fused layers to record min-max range information. This generates a
  +quantized inference workload that reproduces the quantization behavior that was
  +used during training.
  The following command generates a quantized TensorFlow Lite FlatBuffer from a
  "quantized" TensorFlow GraphDef.
  