tflite 0.0.2.post0

A package to parse TFLite models (*.tflite)

The python package to parse TFLite models

This tflite pip package is built from the schema.fbs of TensorFlow with FlatBuffers.

Usage

Using this package, you can parse the TFLite models (*tflite) in Python. One target of this package is to let people use it as the one originally built from schema.fbs. The versions is managed mirrored with TensorFlow, e.g. v1.14.0, though only few versions are supported. v1.14.0 is the default supported version at this time.

This package has been published on pypi.org, pip install tflite will install it. Basically, the usage styles include:

• Easy import which avoids too many imports per submodules (example): import tflite. This is also the recommanded way to use this package.
• Nested tflite modules tflite.tflite as it is the originally built one (example): from tflite.tflite.Model import Model. This is as a workaround when encountering bug in easy import.

The easy import imports the classes and functions of one submodules into top module directly, e.g. translating the {package}.{submodules}.{class or function} to {package}.{class or function}. For example, when building the Model object, tflite.Model.GetRootAsModel(buf, 0) should be used rather than tflite.Model.Model.GetRootAsModel(buf, 0). This should be much easy to use. Look into the tests for more examples.

Development

To develop this package, additional depdendency can be installed via pip install -r requirements.txt.

The tools directory holds some scripts to update the package to corresponding TensorFlow version. Features could be added to make the parsing easy in the future.

Don't forget to re-install the newly built tflite package before testing it. You may also try source tools/source-me.sh rather than the annoying build and install process in development.

License

Apache License Version 2.0 as TensorFlow's.

Disclaimer

The schema.fbs is obtained from TensorFlow directly, which could be property of Google. Maitainer of this package has tried to [contact](assets/[TFLite] Propose to maintain a PyPI package for TFLite model parsing.eml) one of the TensorFlow maitainers for legal or permission issues, but receiving no reply. Ownership or maitainship of this package is open to transfer or close if there were any issues.