30 lines
1.3 KiB
Markdown
30 lines
1.3 KiB
Markdown
# 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.
|
|
|
|
## Usage documentation
|
|
|
|
Usage information is given in these documents:
|
|
|
|
* [Command-line glossary](../g3doc/convert/cmdline_reference.md)
|
|
* [Command-line examples](../g3doc/convert/cmdline_examples.md)
|
|
* [Python API examples](../g3doc/convert/python_api.md)
|
|
|
|
## 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.
|
|
|
|
|