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Diffstat (limited to 'tensorflow/contrib/lite/toco/README.md')
| -rw-r--r-- | tensorflow/contrib/lite/toco/README.md | 13 |
1 files changed, 7 insertions, 6 deletions
diff --git a/tensorflow/contrib/lite/toco/README.md b/tensorflow/contrib/lite/toco/README.md index ee83c7a6e3..2db6a627ab 100644 --- a/tensorflow/contrib/lite/toco/README.md +++ b/tensorflow/contrib/lite/toco/README.md @@ -17,11 +17,12 @@ Usage information is given in these documents: Once an application developer has a trained TensorFlow model, TOCO will accept that model and generate a TensorFlow Lite [FlatBuffer](https://google.github.io/flatbuffers/) file. TOCO currently supports -[SavedModels](https://www.tensorflow.org/guide/saved_model#using_savedmodel_with_estimators) -and frozen graphs (models generated via -[freeze_graph.py](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/tools/freeze_graph.py)). -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. +[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.  |