tflite 2.0.0.post2

A package to parse TFLite models (*.tflite)

The python package to parse TFLite models

TFLite models (*.tflite) are in FlatBuffers format. This tflite package is built to parse the TFLite models from the schema.fbs of TensorFlow.

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.

Installation

This package can be installed via pip, and is versioning similar to TensorFlow package. And the version mapping is as below.

TensorFlow package version	tflite package version
1.14.0	1.14.0.post1
1.15.0	1.15.0.post1
2.0.0	2.0.0.post2

It would be better if you use a correct version, such as:

pip install tensorflow==1.14.0
pip install tflite==1.14.0.post1

Easy Import

Basically, you can use this package just like the newly FlatBuffers generated one (example):

from tflite.Model import Model
# use Model

In addition, you may use the Easy Import (recommanded) to avoid too many imports per submodules (example). The easy import imports the classes and functions of one submodules into top module directly, e.g. import the {package}.{submodules}.{class or function} as {package}.{class or function}. For example, when building the Model object, tflite.Model.GetRootAsModel(buf, 0).

import tflite
# use tflite.Model

Development

Package users can safely ignore this part.

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. There are three steps currently:

1. Download the schema.fbs change of a version.
2. Update the classes and functions import of submodules.
3. Update the versioning in setup.py.
4. Build and Test around.
5. Upload the package to PyPI.

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.

Resources

• GitHub of this package.
• Converting TensorFlow model to TFLite model.
• This package has already been used in TVM.

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 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.