From ee1cb110360b12d752c9cb4ebbb76d33930f67d7 Mon Sep 17 00:00:00 2001 From: Mark Daoust Date: Tue, 9 Oct 2018 17:23:45 -0700 Subject: Move tflite_convert g3docs, so they will be pulled into the site. PiperOrigin-RevId: 216452447 --- .../contrib/lite/g3doc/tflite_convert/index.md | 22 ++++++++++++++++++++++ 1 file changed, 22 insertions(+) create mode 100644 tensorflow/contrib/lite/g3doc/tflite_convert/index.md (limited to 'tensorflow/contrib/lite/g3doc/tflite_convert/index.md') 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. + +![drawing](toco_landscape.svg) -- cgit v1.2.3