This page discusses the generally supported model file formats and versions for each tool in the LEIP SDK.
Depending on the operators used in a particular model architecture, you may encounter unforeseen compatibility issues with specific tools.
For leip_train command and QGT API (Input and Output)
Keras models from Tensorflow 2.x onwards, in eager execution mode only.
The leip_optimize and leip_compile commands support the following input formats. The output format depends on the target being compiled to.
The leip_evaluate and leip_run commands can currently execute in the following inference frameworks, which are included in the LEIP SDK Docker Images:
Supported Input Formats
Tensorflow Lite v2.3
Any .tflite file converted by Tensorflow or from leip compress.
PyTorch v 1.7
A complete pytorch module (eager or traced) with