The TensorFlow Lite Converter converts TensorFlow graphs into TensorFlow Lite graphs. There are additional usages that are also detailed in the usage documentation.
Usage information is given in these documents:
Once an application developer has a trained TensorFlow model, the TensorFlow
Lite Converter will accept
that model and generate a TensorFlow Lite
FlatBuffer file. The converter currently supports
SavedModels,
frozen graphs (models generated via
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.
