Updates TOCO documentation.

PiperOrigin-RevId: 202577530

1 files changed, 22 insertions, 4 deletions

diff --git a/tensorflow/contrib/lite/toco/g3doc/cmdline_examples.md b/tensorflow/contrib/lite/toco/g3doc/cmdline_examples.md
index 0ab024c618..18b7848db8 100644
--- a/tensorflow/contrib/lite/toco/g3doc/cmdline_examples.md
+++ b/tensorflow/contrib/lite/toco/g3doc/cmdline_examples.md
@@ -11,8 +11,10 @@ Table of contents:
 
 *   [Command-line tools](#tools)
     *   [Converting models prior to TensorFlow 1.9.](#pre-tensorflow-1.9)
-*   [Convert a TensorFlow GraphDef](#graphdef)
-*   [Convert a TensorFlow SavedModel](#savedmodel)
+*   [Basic examples](#basic)
+    *   [Convert a TensorFlow GraphDef](#graphdef)
+    *   [Convert a TensorFlow SavedModel](#savedmodel)
+    *   [Convert a tf.keras model](#keras)
 *   [Quantization](#quantization)
     *   [Convert a TensorFlow GraphDef for quantized inference](#graphdef-quant)
     *   [Use "dummy-quantization" to try out quantized inference on a float
@@ -51,7 +53,12 @@ API](python_api.md#pre-tensorflow-1.9). If a command line tool is desired, the
 Terminal for additional details on the command-line flags available. There were
 no command line tools in TensorFlow 1.8.
 
-## Convert a TensorFlow GraphDef <a name="graphdef"></a>
+## Basic examples <a name="basic"></a>
+
+The following section shows examples of how to convert a basic float-point model
+from each of the supported data formats into a TensorFlow Lite FlatBuffers.
+
+### Convert a TensorFlow GraphDef <a name="graphdef"></a>
 
 The follow example converts a basic TensorFlow GraphDef (frozen by
 [freeze_graph.py](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/tools/freeze_graph.py))
@@ -70,7 +77,7 @@ tflite_convert \
 
 The value for `input_shapes` is automatically determined whenever possible.
 
-## Convert a TensorFlow SavedModel <a name="savedmodel"></a>
+### Convert a TensorFlow SavedModel <a name="savedmodel"></a>
 
 The follow example converts a basic TensorFlow SavedModel into a Tensorflow Lite
 FlatBuffer to perform floating-point inference.
@@ -95,6 +102,17 @@ There is currently no support for MetaGraphDefs without a SignatureDef or for
 MetaGraphDefs that use the [`assets/`
 directory](https://www.tensorflow.org/guide/saved_model#structure_of_a_savedmodel_directory).
 
+### Convert a tf.Keras model <a name="keras"></a>
+
+The following example converts a `tf.keras` model into a TensorFlow Lite
+Flatbuffer. The `tf.keras` file must contain both the model and the weights.
+
+```
+tflite_convert \
+  --output_file=/tmp/foo.tflite \
+  --keras_model_file=/tmp/keras_model.h5
+```
+
 ## Quantization
 
 ### Convert a TensorFlow GraphDef for quantized inference <a name="graphdef-quant"></a>