tetra-hub 0.2.4

Python API for Tetra Hub.

Tetra Hub provides transparency into the on-device performance of machine learning models. It allows quick examination into key metrics to improve the model.

Tetra Hub allows users to analyze a model throught the following steps:

• Simply upload a model and submit a profiling job, targeting a specific device.

• The model is compiled and tailored to the target platform.

• A physical device is provisioned in the cloud. Tetra Hub analysis tools run the model on the device and gather metrics such as which model layers run on which compute units, model latency, and peak memory.

• The results are displayed on Tetra Hub, providing insights to understand the performance and opportunities for further improvements.

tetra_hub is a python package that provides an API for users to upload a model, submit the profile jobs for hardware and get key metrics to optimize the machine learning model further.

Installation with PyPI

The easiest way to install tetra_hub is by using pip, running

pip install tetra-hub

For more information, check out the documentation for more information on tetra_hub APIs, how to use them, and for examples.

License

Copyright (c) 2022, Tetra Intelligence Systems Inc. All rights reserved.