message: Add input array shape instructions to Keras model.
diff: @@ -30,8 +30,8 @@ This document contains [example usages](#examples) of the API and
  ### Converting a SavedModel <a name="saved_model"></a>
  The following example shows how to convert a
  -[SavedModel](https://www.tensorflow.org/guide/saved_model) into a
  -TensorFlow Lite [`FlatBuffer`](https://google.github.io/flatbuffers/).
  +[SavedModel](https://www.tensorflow.org/guide/saved_model) into a TensorFlow
  +Lite [`FlatBuffer`](https://google.github.io/flatbuffers/).
  ```python
  import tensorflow as tf
  @@ -97,6 +97,24 @@ with tf.io.gfile.GFile('model.tflite', 'wb') as f:
  f.write(tflite_model)
  ```
  +If your model requires specifying the input shape, use `tf.keras.layers.Input`
  +or `tf.keras.layers.InputLayer` to create a Keras model with a fixed input shape
  +as seen below or use the [`from_concrete_functions`](#concrete_function)
  +classmethod as shown in the prior section to set the shape of the input arrays
  +prior to conversion.
  +
  +```python
  +input = tf.keras.layers.Input(shape=(1), batch_size=1)
  +dense_layer = tf.keras.layers.Dense(units=1, input_shape=[1])
  +model = tf.keras.Model(input, dense_layer(input))
  +```
  +
  +```python
  +model = tf.keras.models.Sequential(
  + [tf.keras.layers.InputLayer(input_shape=(1), batch_size=1),
  + tf.keras.layers.Dense(units=1, input_shape=[1])])
  +```
  +
  ### Converting a concrete function <a name="concrete_function"></a>
  The following example shows how to convert a TensorFlow
  