message: Add multiple input calibration instruction to post-training colab.
diff: "id": "rTe8avZJHMDO"
  },
  "source": [
  - "Now, in order to create quantized values with an accurate dynamic range of activations, you need to provide a representative dataset:"
  + "Now, in order to create quantized values with an accurate dynamic range of activations, you need to provide a representative dataset.\n",
  + "To support multiple inputs, each representative data point is a list and elements in the list are fed to the model according to their indices.\n"
  ]
  },
  {
  "mnist_ds = tf.data.Dataset.from_tensor_slices((images)).batch(1)\n",
  "def representative_data_gen():\n",
  " for input_value in mnist_ds.take(100):\n",
  + " # Model has only one input so each data point has one element.\n",
  " yield [input_value]\n",
  "\n",
  "converter.representative_dataset = representative_data_gen"
  