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diff --git a/tensorflow/contrib/lite/g3doc/tflite_convert/index.md b/tensorflow/contrib/lite/g3doc/tflite_convert/index.md new file mode 100644 index 0000000000..12ba0225f6 --- /dev/null +++ b/tensorflow/contrib/lite/g3doc/tflite_convert/index.md @@ -0,0 +1,22 @@ +# TensorFlow Lite Converter + +The TensorFlow Lite Converter converts TensorFlow graphs into +TensorFlow Lite graphs. There are additional usages that are also detailed in +the usage documentation. + + +## Where the converter fits in the TensorFlow landscape + +Once an application developer has a trained TensorFlow model, the TensorFlow +Lite Converter will accept +that model and generate a TensorFlow Lite +[FlatBuffer](https://google.github.io/flatbuffers/) file. The converter currently supports +[SavedModels](https://www.tensorflow.org/guide/saved_model#using_savedmodel_with_estimators), +frozen graphs (models generated via +[freeze_graph.py](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/tools/freeze_graph.py)), +and `tf.Keras` model files. The TensorFlow Lite FlatBuffer file can be shipped +to client devices, generally mobile devices, where the TensorFlow Lite +interpreter handles them on-device. This flow is represented in the diagram +below. + + |